#Network Telemetry Market

[mostlysignssomeportents]

Your car spies on you and rats you out to insurance companies

I'm on tour with my new, nationally bestselling novel The Bezzle! Catch me TOMORROW (Mar 13) in SAN FRANCISCO with ROBIN SLOAN, then Toronto, NYC, Anaheim, and more!

Another characteristically brilliant Kashmir Hill story for The New York Times reveals another characteristically terrible fact about modern life: your car secretly records fine-grained telemetry about your driving and sells it to data-brokers, who sell it to insurers, who use it as a pretext to gouge you on premiums:

https://www.nytimes.com/2024/03/11/technology/carmakers-driver-tracking-insurance.html

Almost every car manufacturer does this: Hyundai, Nissan, Ford, Chrysler, etc etc:

https://www.repairerdrivennews.com/2020/09/09/ford-state-farm-ford-metromile-honda-verisk-among-insurer-oem-telematics-connections/

This is true whether you own or lease the car, and it's separate from the "black box" your insurer might have offered to you in exchange for a discount on your premiums. In other words, even if you say no to the insurer's carrot – a surveillance-based discount – they've got a stick in reserve: buying your nonconsensually harvested data on the open market.

I've always hated that saying, "If you're not paying for the product, you're the product," the reason being that it posits decent treatment as a customer reward program, like the little ramekin warm nuts first class passengers get before takeoff. Companies don't treat you well when you pay them. Companies treat you well when they fear the consequences of treating you badly.

Take Apple. The company offers Ios users a one-tap opt-out from commercial surveillance, and more than 96% of users opted out. Presumably, the other 4% were either confused or on Facebook's payroll. Apple – and its army of cultists – insist that this proves that our world's woes can be traced to cheapskate "consumers" who expected to get something for nothing by using advertising-supported products.

But here's the kicker: right after Apple blocked all its rivals from spying on its customers, it began secretly spying on those customers! Apple has a rival surveillance ad network, and even if you opt out of commercial surveillance on your Iphone, Apple still secretly spies on you and uses the data to target you for ads:

https://pluralistic.net/2022/11/14/luxury-surveillance/#liar-liar

Even if you're paying for the product, you're still the product – provided the company can get away with treating you as the product. Apple can absolutely get away with treating you as the product, because it lacks the historical constraints that prevented Apple – and other companies – from treating you as the product.

As I described in my McLuhan lecture on enshittification, tech firms can be constrained by four forces:

I. Competition

II. Regulation

III. Self-help

IV. Labor

https://pluralistic.net/2024/01/30/go-nuts-meine-kerle/#ich-bin-ein-bratapfel

When companies have real competitors – when a sector is composed of dozens or hundreds of roughly evenly matched firms – they have to worry that a maltreated customer might move to a rival. 40 years of antitrust neglect means that corporations were able to buy their way to dominance with predatory mergers and pricing, producing today's inbred, Habsburg capitalism. Apple and Google are a mobile duopoly, Google is a search monopoly, etc. It's not just tech! Every sector looks like this:

https://www.openmarketsinstitute.org/learn/monopoly-by-the-numbers

Eliminating competition doesn't just deprive customers of alternatives, it also empowers corporations. Liberated from "wasteful competition," companies in concentrated industries can extract massive profits. Think of how both Apple and Google have "competitively" arrived at the same 30% app tax on app sales and transactions, a rate that's more than 1,000% higher than the transaction fees extracted by the (bloated, price-gouging) credit-card sector:

https://pluralistic.net/2023/06/07/curatorial-vig/#app-tax

But cartels' power goes beyond the size of their warchest. The real source of a cartel's power is the ease with which a small number of companies can arrive at – and stick to – a common lobbying position. That's where "regulatory capture" comes in: the mobile duopoly has an easier time of capturing its regulators because two companies have an easy time agreeing on how to spend their app-tax billions:

https://pluralistic.net/2022/06/05/regulatory-capture/

Apple – and Google, and Facebook, and your car company – can violate your privacy because they aren't constrained regulation, just as Uber can violate its drivers' labor rights and Amazon can violate your consumer rights. The tech cartels have captured their regulators and convinced them that the law doesn't apply if it's being broken via an app:

https://pluralistic.net/2023/04/18/cursed-are-the-sausagemakers/#how-the-parties-get-to-yes

In other words, Apple can spy on you because it's allowed to spy on you. America's last consumer privacy law was passed in 1988, and it bans video-store clerks from leaking your VHS rental history. Congress has taken no action on consumer privacy since the Reagan years:

https://www.eff.org/tags/video-privacy-protection-act

But tech has some special enshittification-resistant characteristics. The most important of these is interoperability: the fact that computers are universal digital machines that can run any program. HP can design a printer that rejects third-party ink and charge $10,000/gallon for its own colored water, but someone else can write a program that lets you jailbreak your printer so that it accepts any ink cartridge:

https://www.eff.org/deeplinks/2020/11/ink-stained-wretches-battle-soul-digital-freedom-taking-place-inside-your-printer

Tech companies that contemplated enshittifying their products always had to watch over their shoulders for a rival that might offer a disenshittification tool and use that as a wedge between the company and its customers. If you make your website's ads 20% more obnoxious in anticipation of a 2% increase in gross margins, you have to consider the possibility that 40% of your users will google "how do I block ads?" Because the revenue from a user who blocks ads doesn't stay at 100% of the current levels – it drops to zero, forever (no user ever googles "how do I stop blocking ads?").

The majority of web users are running an ad-blocker:

https://doc.searls.com/2023/11/11/how-is-the-worlds-biggest-boycott-doing/

Web operators made them an offer ("free website in exchange for unlimited surveillance and unfettered intrusions") and they made a counteroffer ("how about 'nah'?"):

https://www.eff.org/deeplinks/2019/07/adblocking-how-about-nah

Here's the thing: reverse-engineering an app – or any other IP-encumbered technology – is a legal minefield. Just decompiling an app exposes you to felony prosecution: a five year sentence and a $500k fine for violating Section 1201 of the DMCA. But it's not just the DMCA – modern products are surrounded with high-tech tripwires that allow companies to invoke IP law to prevent competitors from augmenting, recongifuring or adapting their products. When a business says it has "IP," it means that it has arranged its legal affairs to allow it to invoke the power of the state to control its customers, critics and competitors:

https://locusmag.com/2020/09/cory-doctorow-ip/

An "app" is just a web-page skinned in enough IP to make it a crime to add an ad-blocker to it. This is what Jay Freeman calls "felony contempt of business model" and it's everywhere. When companies don't have to worry about users deploying self-help measures to disenshittify their products, they are freed from the constraint that prevents them indulging the impulse to shift value from their customers to themselves.

Apple owes its existence to interoperability – its ability to clone Microsoft Office's file formats for Pages, Numbers and Keynote, which saved the company in the early 2000s – and ever since, it has devoted its existence to making sure no one ever does to Apple what Apple did to Microsoft:

https://www.eff.org/deeplinks/2019/06/adversarial-interoperability-reviving-elegant-weapon-more-civilized-age-slay

Regulatory capture cuts both ways: it's not just about powerful corporations being free to flout the law, it's also about their ability to enlist the law to punish competitors that might constrain their plans for exploiting their workers, customers, suppliers or other stakeholders.

The final historical constraint on tech companies was their own workers. Tech has very low union-density, but that's in part because individual tech workers enjoyed so much bargaining power due to their scarcity. This is why their bosses pampered them with whimsical campuses filled with gourmet cafeterias, fancy gyms and free massages: it allowed tech companies to convince tech workers to work like government mules by flattering them that they were partners on a mission to bring the world to its digital future:

https://pluralistic.net/2023/09/10/the-proletarianization-of-tech-workers/

For tech bosses, this gambit worked well, but failed badly. On the one hand, they were able to get otherwise powerful workers to consent to being "extremely hardcore" by invoking Fobazi Ettarh's spirit of "vocational awe":

https://www.inthelibrarywiththeleadpipe.org/2018/vocational-awe/

On the other hand, when you motivate your workers by appealing to their sense of mission, the downside is that they feel a sense of mission. That means that when you demand that a tech worker enshittifies something they missed their mother's funeral to deliver, they will experience a profound sense of moral injury and refuse, and that worker's bargaining power means that they can make it stick.

Or at least, it did. In this era of mass tech layoffs, when Google can fire 12,000 workers after a $80b stock buyback that would have paid their wages for the next 27 years, tech workers are learning that the answer to "I won't do this and you can't make me" is "don't let the door hit you in the ass on the way out" (AKA "sharpen your blades boys"):

https://techcrunch.com/2022/09/29/elon-musk-texts-discovery-twitter/

With competition, regulation, self-help and labor cleared away, tech firms – and firms that have wrapped their products around the pluripotently malleable core of digital tech, including automotive makers – are no longer constrained from enshittifying their products.

And that's why your car manufacturer has chosen to spy on you and sell your private information to data-brokers and anyone else who wants it. Not because you didn't pay for the product, so you're the product. It's because they can get away with it.

Cars are enshittified. The dozens of chips that auto makers have shoveled into their car design are only incidentally related to delivering a better product. The primary use for those chips is autoenshittification – access to legal strictures ("IP") that allows them to block modifications and repairs that would interfere with the unfettered abuse of their own customers:

https://pluralistic.net/2023/07/24/rent-to-pwn/#kitt-is-a-demon

The fact that it's a felony to reverse-engineer and modify a car's software opens the floodgates to all kinds of shitty scams. Remember when Bay Staters were voting on a ballot measure to impose right-to-repair obligations on automakers in Massachusetts? The only reason they needed to have the law intervene to make right-to-repair viable is that Big Car has figured out that if it encrypts its diagnostic messages, it can felonize third-party diagnosis of a car, because decrypting the messages violates the DMCA:

https://www.eff.org/deeplinks/2013/11/drm-cars-will-drive-consumers-crazy

Big Car figured out that VIN locking – DRM for engine components and subassemblies – can felonize the production and the installation of third-party spare parts:

https://pluralistic.net/2022/05/08/about-those-kill-switched-ukrainian-tractors/

The fact that you can't legally modify your car means that automakers can go back to their pre-2008 ways, when they transformed themselves into unregulated banks that incidentally manufactured the cars they sold subprime loans for. Subprime auto loans – over $1t worth! – absolutely relies on the fact that borrowers' cars can be remotely controlled by lenders. Miss a payment and your car's stereo turns itself on and blares threatening messages at top volume, which you can't turn off. Break the lease agreement that says you won't drive your car over the county line and it will immobilize itself. Try to change any of this software and you'll commit a felony under Section 1201 of the DMCA:

https://pluralistic.net/2021/04/02/innovation-unlocks-markets/#digital-arm-breakers

Tesla, naturally, has the most advanced anti-features. Long before BMW tried to rent you your seat-heater and Mercedes tried to sell you a monthly subscription to your accelerator pedal, Teslas were demon-haunted nightmare cars. Miss a Tesla payment and the car will immobilize itself and lock you out until the repo man arrives, then it will blare its horn and back itself out of its parking spot. If you "buy" the right to fully charge your car's battery or use the features it came with, you don't own them – they're repossessed when your car changes hands, meaning you get less money on the used market because your car's next owner has to buy these features all over again:

https://pluralistic.net/2023/07/28/edison-not-tesla/#demon-haunted-world

And all this DRM allows your car maker to install spyware that you're not allowed to remove. They really tipped their hand on this when the R2R ballot measure was steaming towards an 80% victory, with wall-to-wall scare ads that revealed that your car collects so much information about you that allowing third parties to access it could lead to your murder (no, really!):

https://pluralistic.net/2020/09/03/rip-david-graeber/#rolling-surveillance-platforms

That's why your car spies on you. Because it can. Because the company that made it lacks constraint, be it market-based, legal, technological or its own workforce's ethics.

One common critique of my enshittification hypothesis is that this is "kind of sensible and normal" because "there’s something off in the consumer mindset that we’ve come to believe that the internet should provide us with amazing products, which bring us joy and happiness and we spend hours of the day on, and should ask nothing back in return":

https://freakonomics.com/podcast/how-to-have-great-conversations/

What this criticism misses is that this isn't the companies bargaining to shift some value from us to them. Enshittification happens when a company can seize all that value, without having to bargain, exploiting law and technology and market power over buyers and sellers to unilaterally alter the way the products and services we rely on work.

A company that doesn't have to fear competitors, regulators, jailbreaking or workers' refusal to enshittify its products doesn't have to bargain, it can take. It's the first lesson they teach you in the Darth Vader MBA: "I am altering the deal. Pray I don't alter it any further":

https://pluralistic.net/2023/10/26/hit-with-a-brick/#graceful-failure

Your car spying on you isn't down to your belief that your carmaker "should provide you with amazing products, which brings your joy and happiness you spend hours of the day on, and should ask nothing back in return." It's not because you didn't pay for the product, so now you're the product. It's because they can get away with it.

The consequences of this spying go much further than mere insurance premium hikes, too. Car telemetry sits at the top of the funnel that the unbelievably sleazy data broker industry uses to collect and sell our data. These are the same companies that sell the fact that you visited an abortion clinic to marketers, bounty hunters, advertisers, or vengeful family members pretending to be one of those:

https://pluralistic.net/2022/05/07/safegraph-spies-and-lies/#theres-no-i-in-uterus

Decades of pro-monopoly policy led to widespread regulatory capture. Corporate cartels use the monopoly profits they extract from us to pay for regulatory inaction, allowing them to extract more profits.

But when it comes to privacy, that period of unchecked corporate power might be coming to an end. The lack of privacy regulation is at the root of so many problems that a pro-privacy movement has an unstoppable constituency working in its favor.

At EFF, we call this "privacy first." Whether you're worried about grifters targeting vulnerable people with conspiracy theories, or teens being targeted with media that harms their mental health, or Americans being spied on by foreign governments, or cops using commercial surveillance data to round up protesters, or your car selling your data to insurance companies, passing that long-overdue privacy legislation would turn off the taps for the data powering all these harms:

https://www.eff.org/wp/privacy-first-better-way-address-online-harms

Traditional economics fails because it thinks about markets without thinking about power. Monopolies lead to more than market power: they produce regulatory capture, power over workers, and state capture, which felonizes competition through IP law. The story that our problems stem from the fact that we just don't spend enough money, or buy the wrong products, only makes sense if you willfully ignore the power that corporations exert over our lives. It's nice to think that you can shop your way out of a monopoly, because that's a lot easier than voting your way out of a monopoly, but no matter how many times you vote with your wallet, the cartels that control the market will always win:

https://pluralistic.net/2024/03/05/the-map-is-not-the-territory/#apor-locksmith

Name your price for 18 of my DRM-free ebooks and support the Electronic Frontier Foundation with the Humble Cory Doctorow Bundle.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/03/12/market-failure/#car-wars

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[thelittleredheadedmusician]

A day late & a dollar short but here’s my book list from this year! Lots of good ones. Plenty of bad ones. I have Strong Opinions on almost everything! So send me an ask about your most loved or loathed & it’ll give me something to look forward to for after work!

(The 5 or so books started but not finished before yesterday were not included, nor were single issue comics of which there were many or audio dramas.)

Books Read 2024

Audio:

Gideon the Ninth - the locked tomb

A court of frost & starlight

A court of silver flames

All systems Red - Murderbot diaries

Artificial condition - murderbot diaries

The lost apothecary

Rogue protocol - murderbot diaries

Exit strategy - murderbot diaries

Network effect - murderbot diaries

Harrow the Ninth - the locked tomb

Nona the ninth - the locked tomb

Fugitive telemetry - murderbot diaries

Ninth house - Alex stern

Hell Bent - Alex stern

Out of character

We could be so good

Practical Magic

Such sharp teeth

System collapse - murderbot diaries

Lord of shadows - the dark artifices

Queen of air and darkness - the dark artifices

Neverwhere (and how the marquis de carabas got his coat back)

If we were villains

The song of Achilles

Chain of gold (and fairytale of London) - the last hours

Storm front - the Dresden files

Chain of iron (and one must always be careful of books) - the last hours

Chain of thorns (and ought but death) - the last hours

Jonathan Strange & Mr Norrell

Fool moon - the Dresden files

Grave peril - the Dresden files

Summer knight - the Dresden files

Midnight in the garden of good and evil

Circe

Last call at the local

The ladies of grace adieu & other stories

Factory girls

Flyaway

Death Masks - the Dresden files

Blood rites - the Dresden files

Dead beat - the Dresden files

The end of the world is a cul de sac

The southern book club’s guide to slaying vampires

Proven guilty - the Dresden files

Murder on the orient express

Children of blood and bone

Atalanta

The final girl support group

The cemetery of untold stories

White night - the Dresden files

The atlas six

The atlas paradox (& sacred hospitality short story)

The magician’s nephew - narnia

The lion, the witch, and the wardrobe - narnia

The horse and his boy - narnia

Prince caspian - narnia

The last boyfriends rules for revenge

The voyage of the Dawn treader - narnia

The silver chair - narnia

The last battle - Narnia

You should be so lucky

The atlas complex

Interview with the vampire - vampire chronicles

White cat - curse workers

Red glove - curse workers

Black heart - curse workers

The queer principles of kit Webb

The lost sisters

The perfect crimes of Marian Hayes

Small favor - Dresden files

Turn coat - Dresden files

So this is ever after

The Vampire Lestat - vampire chronicles

Working for Bigfoot - Dresden files

Changes - Dresden files

The Queen of the damned - vampire chronicles

Lyra’s oxford

The tale of the body thief - vampire chronicles

Side jobs - Dresden files

Ghost story - Dresden files

Memnoch the Devil - vampire chronicles

Cold days - Dresden files

The pairing

Shadowed souls - Dresden files

Skin game - Dresden files

Renegades - renegades trilogy

Archenemies - renegades trilogy

Supernova - renegades trilogy

Masters of death

The nightmare before kissmas

Brief cases - Dresden files

The familiar

Physical:

Young Avengers - gillen & mckelvie run

Men at arms

Ghosts of the shadow market

The red scrolls of magic

The lost book of the white

Soul music

Free country a tale of the children’s crusade

Romancing the beat

Mighty nein origins: Beauregard lionett

Mighty nein origins: caduceus clay

The prisoner’s throne

Sex criminals vol 1

Sex criminals vol 2

Sex criminals vol 3

The pairing

Sex criminals vol 4

American vampire vol 1

American vampire vol 2

American vampire vol 3

Sex criminals vol 5

Sex criminals vol 6

American vampire vol 4

American vampire vol 5

Young Avengers - original run

The Saturday night ghost club

Batgirl: Stephanie Brown vol 1

Batgirl: Stephanie Brown vol 2

[news24-amit]

Why the RF Antennas Market Is a Game-Changer for Communication Systems

The global RF antennas market is experiencing unprecedented growth, driven by increasing demands for wireless communication across diverse industries. RF antennas, essential for transmitting and receiving radio frequency signals, play a pivotal role in telecommunications, consumer electronics, automotive, aerospace, and industrial applications. Valued at USD 2.7 billion in 2023, the RF antennas market is projected to reach USD 6.4 billion by 2034, advancing at a compound annual growth rate (CAGR) of 7.99%.

As industries embrace digital transformation, RF antennas are set to be the backbone of connectivity, powering next-generation technologies like 6G, satellite communications, and advanced driver-assistance systems (ADAS).

Visit our report to explore critical insights and analysis – https://www.transparencymarketresearch.com/rf-antennas-market.html

Key Drivers

Surge in IoT Applications The rapid growth of the Internet of Things (IoT) is significantly propelling the demand for RF antennas. From industrial automation to smart sensors and asset tracking systems, industries rely on RF antennas to enable reliable, real-time wireless communication. Innovations like multi-band and wideband RF antennas are catering to diverse IoT needs, enhancing operational efficiency and productivity.

Advancements in Wireless Communication Standards The evolution of wireless standards, particularly the global rollout of 5G networks, is driving demand for high-performance RF antennas. Modern applications require antennas capable of operating at higher frequencies, supporting MIMO (Multiple Input, Multiple Output) technologies, and facilitating beamforming. These capabilities enhance network performance, offering better signal quality and increased data throughput in both urban and industrial environments.

Demand in Industrial Applications The industrial segment accounted for a 55.4% market share in 2023 and is projected to grow steadily. RF antennas are integral to industrial IoT (IIoT), enabling seamless communication in applications such as SCADA systems, wireless sensor networks, robotics, telemetry, and condition monitoring. As smart factories continue to gain momentum, the demand for RF antennas will soar.

Key Player Strategies

The RF antennas market is moderately consolidated, with leading players focusing on innovation and strategic partnerships. Notable developments include:

Qualcomm: In May 2024, Qualcomm unveiled its latest 5G antenna technology, featuring advanced beamforming capabilities to enhance connectivity and signal performance.

Boeing and NASA: In April 2024, these organizations introduced a groundbreaking RF antenna for deep-space communication as part of NASA's Artemis program, highlighting the growing importance of RF technologies in space exploration.

Other key players include Abracon LLC, Analog Devices Inc., Infineon Technologies AG, Microchip Technology Inc., Murata Manufacturing Co., Ltd., and NXP Semiconductors. These companies are expanding their product portfolios, forging collaborations, and investing in acquisitions to stay competitive.

Market Trends

Key trends shaping the RF antennas market include:

Adoption of phased-array antennas for enhanced coverage and minimal interference.

Integration of AI and machine learning to optimize antenna performance.

Growing use of RF antennas in autonomous vehicles, telemedicine, and satellite communications.

Development of eco-friendly and energy-efficient antenna designs.

Contact:

Transparency Market Research Inc.

CORPORATE HEADQUARTER DOWNTOWN,

1000 N. West Street,

Suite 1200, Wilmington, Delaware 19801 USA

Tel: +1-518-618-1030

USA - Canada Toll Free: 866-552-3453

Website: https://www.transparencymarketresearch.com

Email: sales@transparencymarketresearch.com

[techahead-software-blog]

Revolutionizing Industries With Edge AI

The synergy between AI, cloud computing, and edge technologies is reshaping innovation. Currently, most IoT solutions rely on basic telemetry systems. These systems capture data from edge devices and store it centrally for further use. Our approach goes far beyond this conventional method. 

We leverage advanced machine learning and deep learning models to solve real-world problems. These models are trained in cloud environments and deployed directly onto edge devices. Deploying AI models to the edge ensures real-time decision-making and creates a feedback loop that continuously enhances business processes, driving digital transformation.  

The AI in edge hardware market is set for exponential growth. Valued at USD 24.2 billion in 2024, it is expected to reach USD 54.7 billion by 2029, achieving a CAGR of 17.7%. 

The adoption of edge AI software development is growing due to several factors, such as the rise in IoT devices, the need for real-time data processing, and the growth of 5G networks. Businesses are using AI in edge computing to improve operations, gain insights, and fully utilize data from edge devices. Other factors driving this growth include the popularity of social media and e-commerce, deeper integration of AI into edge systems, and the increasing workloads managed by cloud computing.

The learning path focuses on scalable strategies for deploying AI models on devices like drones and self-driving cars. It also introduces structured methods for implementing complex AI applications.

A key part of this approach is containerization. Containers make it easier to deploy across different hardware by packaging the necessary environments for various edge devices. This approach works well with Continuous Integration and Continuous Deployment (CI/CD) pipelines, making container delivery to edge systems smoother.

This blog will help you understand how AI in edge computing can be integrated into your business. These innovations aim to simplify AI deployment while meeting the changing needs of edge AI ecosystems.

Key Takeaways:

The integration of AI, cloud computing, and edge technologies is transforming innovation across industries. Traditional IoT solutions depend on basic telemetry systems to collect and centrally store data for processing. 

Advanced machine learning and deep learning models elevate this approach, solving complex real-world challenges. These models are trained using powerful cloud infrastructures to ensure robust performance.

After training, the models are deployed directly onto edge devices for localized decision-making. This shift reduces latency and enhances the efficiency of IoT applications, offering smarter solutions.

What is Edge AI?

Edge AI is a system that connects AI operations between centralized data centers (cloud) and devices closer to users and their environments (the edge). Unlike traditional AI that runs mainly in the cloud, AI in edge computing focuses on decentralizing processes. This is different from older methods where AI was limited to desktops or specific hardware for tasks like recognizing check numbers.

The edge includes physical infrastructure like network gateways, smart routers, or 5G towers. However, its real value is in enabling AI on devices such as smartphones, autonomous cars, and robots. Instead of being just about hardware, AI in edge computing is a strategy to bring cloud-based innovations into real-world applications.

AI in edge computing technology enables machines to mimic human intelligence, allowing them to perceive, interact, and make decisions autonomously. To achieve these complex capabilities, it relies on a structured life cycle that transforms raw data into actionable intelligence.

The Role of Deep Neural Networks (DNN)

At the core of AI in edge computing are deep neural networks, which replicate human cognitive processes through layered data analysis. These networks are trained using a process called deep learning. During training, vast datasets are fed into the model, allowing it to identify patterns and produce accurate outputs. This intensive learning phase often occurs in cloud environments or data centers, where computational resources and collaborative expertise from data scientists are readily available.  

From Training to Inference

Once a deep learning model is trained, it transitions into an inference engine. The inference engine uses its learned capabilities to analyze new data and provide actionable insights. Unlike the training phase, which requires centralized resources, the inference stage operates locally on devices. This shift enables real-time decision-making, even in remote environments, making it ideal for edge AI deployments in industries like manufacturing, healthcare, and autonomous vehicles.  

Real-World Applications

Edge AI operates on decentralized devices such as factory robots, hospital equipment, autonomous cars, satellites, and smart home systems. These devices run inference engines that analyze data and generate insights directly at the point of origin, minimizing dependency on cloud systems.  

When AI in edge computing encounters complex challenges or anomalies, the problematic data is sent to the cloud for retraining. This iterative feedback loop enhances the original AI model’s accuracy and efficiency over time. Consequently, Edge AI systems continuously evolve, becoming more intelligent and responsive with each iteration.  

Why Does the Feedback Loop Matters?

The feedback loop is a cornerstone of Edge AI’s success. It enables edge devices to identify and address gaps in their understanding by sending troublesome data to centralized systems for refinement. These improvements are reintegrated into the edge inference engines, ensuring that deployed models consistently improve in accuracy and performance.  

What Does Edge AI Look Like Today?

Edge AI integrates edge computing with artificial intelligence to redefine data processing and decision-making. Unlike traditional systems, AI in edge computing operates directly on localized devices like Internet of Things (IoT) devices or edge servers. This minimizes reliance on remote data centers, ensuring efficient data collection, storage, and processing at the device level. 

By leveraging machine learning, AI in edge computing mimics human reasoning, enabling devices to make independent decisions without constant internet connectivity.

Localized Processing for Real-Time Intelligence

Edge AI transforms conventional data processing models into decentralized operations. Instead of sending data to remote servers, it processes information locally. This approach improves response times and reduces latency, which is vital for time-sensitive applications. Local processing also enhances data privacy, as sensitive information doesn’t need to leave the device.

Devices Empowered by Independence

Edge AI empowers devices like computers, IoT systems, and edge servers to operate autonomously. These devices don’t need an uninterrupted internet connection. This independence is crucial in areas with limited connectivity or for tasks requiring uninterrupted functionality. The result is smarter, more resilient systems capable of decision-making at the edge.  

Practical Application in Everyday Life

Virtual assistants like Google Assistant, Apple’s Siri, and Amazon Alexa exemplify edge AI’s capabilities. These tools utilize machine learning to analyze user commands in real-time. They begin processing as soon as a user says, “Hey,” capturing data locally while interacting with cloud-based APIs. AI in edge computing enables these assistants to learn and store knowledge directly on the device, ensuring faster, context-aware responses.  

Enhanced User Experience

With AI in edge computing, devices deliver seamless and personalized interactions. By learning locally, systems can adapt to user preferences while maintaining high performance. This ensures users experience faster, contextually aware services, even in offline scenarios.  

What Might Edge AI Look Like in the Future?

Edge AU is poised to redefine how intelligent systems interact with the world. Beyond current applications like smartphones and wearables, its future will likely include advancements in more complex, real-time systems. Emerging examples span autonomous vehicles, drones, robotics, and video-analytics-enabled surveillance cameras. These technologies leverage data at the edge, enabling instant decision-making that aligns with real-world dynamics.

Revolutionizing Transportation

Self-driving vehicles are a glimpse into the transformative power of AI in edge computing. These cars process visual and sensor data in real time. They assess road conditions, nearby vehicles, and pedestrians while adapting to sudden changes like inclement weather. By integrating edge AI, autonomous cars deliver rapid, accurate decisions without relying solely on cloud computing. This ensures safety and efficiency in high-stakes environments.  

Elevating Automation and Surveillance

Drones and robots equipped with edge AI are reshaping automation. Drones utilize edge AI to navigate complex environments autonomously, even in areas without connectivity. Similarly, robots apply localized intelligence to execute intricate tasks in industries like manufacturing and logistics. Surveillance cameras with edge AI analyze video feeds instantly, identifying threats or anomalies with minimal latency. This boosts operational security and situational awareness.  

Unprecedented Growth Trajectory

The AI in edge computing ecosystem is set for exponential growth in the coming years. Market projections estimate the global edge computing market will reach $61.14 billion by 2028. This surge reflects industries’ increasing reliance on intelligent systems that operate independently of centralized infrastructures.  

Empowering Smarter Ecosystems

Edge AI will enhance its role in creating interconnected systems that adapt dynamically. It will empower devices to process and act on complex data. This evolution will foster breakthroughs across sectors like healthcare, automotive, security, and energy.  

The future of edge AI promises unmatched efficiency, scalability, and innovation. As its adoption accelerates, edge AI will continue to drive technological advancements, creating smarter, more resilient systems for diverse industries. 

Understanding the Advantages and Disadvantages of Edge AI

Edge computing and Edge AI are shaping the future of data flow management. With the exponential rise in data from business operations, innovative approaches to handle this surge have become essential.  

Edge computing addresses this challenge by processing and storing data near end users. This localized approach alleviates pressure on centralized servers, reducing the volume of data routed to the cloud. The integration of AI with Edge computing has introduced Edge AI, a transformative solution that maximizes the benefits of reduced latency, bandwidth efficiency, and offline functionality.  

However, like any emerging technology, Edge AI has both advantages and limitations. Businesses must weigh these factors to determine its suitability for their operations.  

Key Advantages of Edge AI

Reduced Latency

Edge AI significantly reduces latency by processing data locally instead of relying on distant cloud platforms. This enables quicker decision-making, as data doesn’t need to travel back and forth between the cloud and devices. Additionally, cloud platforms remain free for more complex analytics and computational tasks, ensuring better resource allocation.  

Optimized Bandwidth Usage

Edge AI minimizes bandwidth consumption by processing, analyzing, and storing most data locally on Edge-enabled devices. This localized approach reduces the volume of data sent to the cloud, cutting operational costs while improving overall system efficiency.  

Enhanced Security and Privacy

By decentralizing data storage, Edge AI reduces reliance on centralized repositories, lowering the risk of large-scale breaches. Localized processing ensures sensitive information stays within the edge network. When cloud integration is required, redundant or unnecessary data is filtered out, ensuring only critical information is transmitted.  

Scalability and Versatility

The proliferation of Edge-enabled devices simplifies system scalability. Many Original Equipment Manufacturers (OEMs) now embed native Edge capabilities into their products. This trend facilitates seamless expansion while allowing local networks to operate independently during disruptions in upstream or downstream systems.  

Potential Challenges of Edge AI

Risk of Data Loss

Poorly designed Edge AI systems may inadvertently discard valuable information, leading to flawed analyses. Effective planning and programming are critical to ensuring only irrelevant data is filtered out while preserving essential insights for future use.  

Localized Security Vulnerabilities

While Edge AI enhances cloud-level security, it introduces risks at the local network level. Weak access controls, poor password management, and human errors can create entry points for cyber threats. Implementing robust security protocols at every level of the system is essential to mitigating such vulnerabilities.  

Limited Computing Power

Edge AI lacks the computational capabilities of cloud platforms, making it suitable only for specific AI tasks. For example, Edge devices are effective for on-device inference and lightweight learning tasks. However, large-scale model training and complex computations still rely on the superior processing power of cloud-based AI systems.  

Device Variability and Reliability Issues

Edge AI systems often depend on a diverse range of devices, each with varying capabilities and reliability. This variability increases the risk of hardware failures or performance inconsistencies. Comprehensive testing and compatibility assessments are essential to mitigate these challenges and ensure system reliability.  

Edge AI Use Cases and Industry Examples

AI in edge computing is transforming industries with innovative applications that bridge cloud computing and real-time local operations. Here are key cases and practical implementations of edge AI.

Enhanced Speed Recognition

Edge AI enables mobile devices to transcribe speech instantly without relying on constant cloud connectivity. This ensures faster, more private communication while enhancing user experience through seamless functionality.  

Biometric Security Solutions

Edge AI powers fingerprint detection and face-ID systems, ensuring secure authentication directly on devices. This eliminates latency concerns, enhancing both security and efficiency in personal and enterprise applications.  

Revolutionizing Autonomous Vehicles

Autonomous navigation systems utilize edge AI for real-time decision-making. AI models are trained in the cloud, but vehicles execute these models locally for tasks like steering and braking. Self-driving systems improve continuously as data from unexpected human interventions is uploaded to refine cloud-based algorithms. Updated models are then deployed to all vehicles in the fleet, ensuring collective learning.  

Intelligent Image Processing

Google’s AI leverages edge computing to automatically generate realistic backgrounds in photos. By processing images locally, the system achieves faster results while maintaining the quality of edits, enabling a seamless creative experience for users.  

Advanced Wearable Health Monitoring

Wearables use edge AI to analyze heart rate, blood pressure, glucose levels, and breathing locally. Cloud-trained AI models deployed on these devices provide real-time health insights, promoting proactive healthcare without requiring continuous cloud interactions.  

Marter Robotics

Robotic systems employ edge AI to enhance operational efficiency. For instance, a robot arm learns optimized ways to handle packages. It shares its findings with the cloud, enabling updates that improve the performance of other robots in the network. This approach accelerates innovation across robotics systems. 

Adaptive Traffic Management

Edge AI drives smart traffic cameras that adjust light timings based on real-time traffic conditions. This reduces congestion, improves flow, and enhances urban mobility by processing data locally for instant action.  

Difference Between Edge AI Vs Cloud AI

The evolution of edge AI and cloud AI stems from shifts in technology and development practices over time. Before the emergence of the cloud or edge, computing revolved around mainframes, desktops, smartphones, and embedded systems. Application development was slower, adhering to Waterfall methodologies that required bundling extensive functionality into annual updates.

The advent of cloud computing revolutionized workflows by automating data center processes. Agile practices replaced rigid Waterfall models, enabling faster iterations. Modern cloud-based applications now undergo multiple updates daily. This modular approach enhances flexibility and efficiency. Edge AI builds on this innovation, extending these Agile workflows to edge devices like smartphones, smart appliances, and factory equipment.  

Modular Development Beyond the Cloud

While cloud AI centralizes functionality, edge AI brings intelligence to the periphery of networks. It allows mobile phones, vehicles, and IoT devices to process and act on data locally. This decentralization drives faster decision-making and enhanced real-time responsiveness.  

Degrees of Implementation

The integration of edge AI varies by device. Basic edge devices, like smart speakers, send data to the cloud for inference. More advanced setups, such as 5G access servers, host AI capabilities that serve multiple nearby devices. LF Edge, an initiative by the Linux Foundation, categorizes edge devices into types like lightbulbs, on-premises servers, and regional data centers. These represent the growing versatility of edge AI across industries.  

Collaborative Edge-Cloud Ecosystem

Edge AI and cloud AI complement each other seamlessly. In some cases, edge devices transmit raw data to the cloud, where inferencing is performed, and results are sent back. Alternatively, edge devices can run inference locally using models trained in the cloud. Advanced implementations even allow edge devices to assist in training AI models, creating a dynamic feedback loop that enhances overall AI accuracy and functionality.  

Enhancing AI Across Scales

By integrating edge AI, organizations capitalize on local processing power while leveraging cloud scalability. This symbiosis ensures optimal performance for applications requiring both immediate insights and large-scale analytics. 

Conclusion

Edge AI stands as a transformative force, bridging the gap between centralized cloud intelligence and real-time edge processing. Its ability to decentralize AI workflows has unlocked unprecedented opportunities across industries, from healthcare and transportation to security and automation. By reducing latency, enhancing data privacy, and empowering devices with autonomy, Edge AI is revolutionizing how businesses harness intelligence at scale.  

However, successful implementation requires balancing its advantages with potential challenges. Businesses must adopt scalable strategies, robust security measures, and effective device management to fully realize its potential.  

As Edge AI continues to evolve, it promises to redefine industries, driving smarter ecosystems and accelerating digital transformation. Organizations that invest in this technology today will be better positioned to lead in an era where real-time insights and autonomous systems dictate the pace of innovation.  

Whether it’s powering autonomous vehicles, optimizing operations, or enhancing user experiences, Edge AI is not just a technological shift; it’s a paradigm change shaping the future of intelligent systems. Embrace Edge AI today to stay ahead in the dynamic landscape of innovation.

Source URL: https://www.techaheadcorp.com/blog/revolutionizing-industries-with-edge-ai/

[jayanthitbrc]

Future of Satellite Communication Service And Equipment Market Demand & Comprehensive Overview 

The satellite communication service and equipment global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

Satellite Communication Service And Equipment Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.

Market Size - The satellite communication service and equipment market size has grown exponentially in recent years. It will grow from $26.9 billion in 2023 to $32.59 billion in 2024 at a compound annual growth rate (CAGR) of 21%. The growth in the historic period can be attributed to rising demand for space data-as-a-service, national security investments in satellite communications, demand for reliable communication networks in remote areas, launch of low earth orbit (LEO) satellites and constellations, public-private collaboration for scaling opportunities in the space sector.

The satellite communication service and equipment market size is expected to see rapid growth in the next few years. It will grow to $65.03 billion in 2028 at a compound annual growth rate (CAGR) of 18.8%. The growth in the forecast period can be attributed to expansion of cellular networks, penetration of IoT devices, development of high-throughput satellites (HTS), increasing need for high-speed, growth of the commercial space industry, demand for satellite technology in military and government applications. Major trends in the forecast period include technological advancements, demand for more efficient satellites, rising edge computing, artificial intelligence investments, introduction of digital technologies.

Order your report now for swift delivery @ https://www.thebusinessresearchcompany.com/report/satellite-communication-service-and-equipment-global-market-report

Scope Of Satellite Communication Service And Equipment Market The Business Research Company's reports encompass a wide range of information, including:

Market Size (Historic and Forecast): Analysis of the market's historical performance and projections for future growth.

Drivers: Examination of the key factors propelling market growth.

Trends: Identification of emerging trends and patterns shaping the market landscape.

Key Segments: Breakdown of the market into its primary segments and their respective performance.

Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.

Macro Economic Factors: Assessment of broader economic elements impacting the market.

Satellite Communication Service And Equipment Market Overview

Market Drivers - The rise in satellite deployments is expected to propel the growth of the satellite communication service and equipment market going forward. Satellite deployment refers to launching satellites into orbit around the Earth or other celestial bodies. The demand for satellite deployments stems from the need for global connectivity, remote sensing capabilities, and national security, facilitating communication, observation, navigation, and data transmission across vast distances and challenging terrains. Satellite deployments use satellite communication services and equipment to establish reliable data transmission links between ground stations and orbiting satellites, enabling tasks such as telemetry, tracking, and command functions essential for mission control and data retrieval. For instance, in April 2023, according to the United Nations Office for Outer Space Affairs (UNOOSA), an Austria-based international cooperation agency, the number of individual satellites orbiting the Earth reached 8,261, marking an 11.84% increase compared to April 2021. By the end of January 2022, 12,293 space objects had been launched into space. Therefore, the rise in satellite deployments is driving the growth of the satellite communication service and equipment market.

Market Trends - Major companies operating in the satellite communication service and equipment market focus on technological innovation such as LTE-based satellite broadband devices to enable mission-critical communications during natural disasters and normal operations. This device's hardware utilizes LTE (Long-Term Evolution) technology to connect to the internet via satellite communication. It combines the speed and reliability of LTE cellular networks with the global coverage of satellite connections. For instance, in January 2024, Sasken Technologies Limited, an India-based telecommunications company, launched an LTE-based satellite broadband device catering to critical communications needs. This innovative product provides various services, including emergency communication support. It enables mission-critical satellite communications during natural disasters such as, tsunamis and ensures reliable connectivity for essential communication requirements. The introduction of LTE over mobile satellite equipment brings standard 3GPP services over satellite infrastructure, transforming traditional communication methods and enhancing connectivity options for critical operations.

The satellite communication service and equipment market covered in this report is segmented –

1) By Type: Satellite Communication Service, Satellite Communication Equipment 2) By Frequency: C Band, L And S Band, X Band, Ka Band, Ku Band, Very High Frequency (VHF) And Ultra High Frequency (UHF) Bands, Extremely High Frequency (EHF) And Super High Frequency bands (SHF) Bands, Multi Band, Q Band 3) By Application: Government And Military Applications, Civil Satellite Communications, Commercial Application, Other Applications

Get an inside scoop of the satellite communication service and equipment market, Request now for Sample Report @ https://www.thebusinessresearchcompany.com/sample.aspx?id=14486&type=smp

Regional Insights - North America was the largest region in the satellite communication service and equipment market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the satellite communication service and equipment market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Key Companies - Major companies operating in the satellite communication service and equipment market are Raytheon Technologies Corporation, Lockheed Martin Corporation, Airbus SE, QualComm Technologies Inc., General Dynamics Corporation, Honeywell International Inc., Safran SA, Texas Instruments Inc., Thales SA, L3Harris Technologies Inc., Bharti Airtel Limited, STMicroelectronics N.V., Singapore Technologies Engineering Ltd., ViaSat Inc., SES S.A., Tata Communications Ltd., Hughes Network Systems LLC, Eutelsat Communications S.A., Sky Perfect JSAT Holdings Inc., Furuno Electric Co. Ltd., Comtech Telecommunications Corp., China Satellite Communications Co. Ltd., Gilat Satellite Networks Ltd., APT Satellite Holdings Limited, Tejas Networks Limited, Global Invacom Group Limited, Space Star Technology Co. Ltd., AsiaSat Satellite Telecommunications Ltd., Synertone Communication Corporation, Avanti Communications Group plc

Table of Contents 1. Executive Summary 2. Satellite Communication Service And Equipment Market Report Structure 3. Satellite Communication Service And Equipment Market Trends And Strategies 4. Satellite Communication Service And Equipment Market – Macro Economic Scenario 5. Satellite Communication Service And Equipment Market Size And Growth ….. 27. Satellite Communication Service And Equipment Market Competitor Landscape And Company Profiles 28. Key Mergers And Acquisitions 29. Future Outlook and Potential Analysis 30. Appendix

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[govindhtech]

Dell Trusted Device & SafeBIOS: Pillars Of Endpoint Security

The Trade Secret of Dell’s Reliable Devices. Have you ever wondered why it products are the safest business PCs on the market? Dell SafeBIOS and Dell Trusted Device (DTD) software are two special endpoint security features that are included with Dell Technologies business PCs.

Dell SafeBIOS: Protecting the Device at the Deepest Levels

With integrated firmware attack detection, Dell SafeBIOS is a set of features that reduces the possibility of BIOS and firmware manipulation. It includes partner technologies in addition to Dell’s exclusive intellectual property. It integrate these features to help make sure devices are safe at the BIOS level, which is often unprotected but is undoubtedly recognized to hackers as a place to take advantage of if it is weak. BIOS-level attacks have the potential to be very destructive and covert. Additionally, malware gains control of the PC and network access when it takes control of the BIOS.

Some of these features, such as BIOS Guard and Intel Boot Guard, are industry standards. The others, including Indicators of Attack, or IoA, which identifies potentially harmful changes to BIOS properties, are only offered by Dell. Image Capture for Forensic Analysis is another example of a feature offered by Dell that goes beyond the standard option of only switching back to the reliable BIOS. This feature may assist protect the device by capturing a snapshot of the faulty BIOS and making it accessible for forensic investigation. It enables security operations centers (SOCs) to examine the incident in order to assist stop similar assaults in the future.

The BIOS safeguards of Dell and it partner are robust on their own. However, because security is a team sport, Dell has teamed up with top partners to strengthen protection “below the OS,” which is where far too many assaults nowadays start.

Dell Trusted Device (DTD) Software: Maximizing Protections Through PC Telemetry

Dell tops the industry in BIOS safeguards, as shown by SafeBIOS IoA and Image Capture. But how can all that telemetry help you? DTD software is useful in this situation. Through endpoint telemetry communication between the device and a secure Dell cloud, DTD software optimizes SafeBIOS capabilities and offers special below-the-OS insights on security “health.”

The transmission of the data ensures that the BIOS is being measured. The IT administrator is alerted to potential manipulation if any feature reports suddenly change.

Dell Trusted Device program offers telemetry to activate many Dell SafeBIOS functions, including BIOS Verification and IoA, which identify BIOS firmware manipulation. Additionally, it offers to Health Score, a feature that combines multiple indicators into a single, easily readable security score, and Intel ME (Management Engine) Verification, which checks the integrity of highly privileged ME firmware on the platform by comparing it with previously measured hashes (stored off-host).

The Windows Event Viewer, which is a record of system and application messages, including warnings, information messages, and problems, provides the administrator with alerts. It’s a helpful tool for problem-solving.

How DTD Software Improves Security and Manageability

It wide partner connections allow Dell Trusted Device software to function in many of the clients’ settings, which is one of its main benefits. Actually, only Dell enhances fleet-wide security by combining device telemetry with cutting-edge software. True hardware-assisted security is the outcome of this.

DTD software can provide telemetry to SIEMs like Splunk, endpoint management like Microsoft Intune and Carbon Black Cloud, and third-party security programs like VMware Carbon Black and CrowdStrike Falcon.

These connections not only help you maximize your software investments, but they also enhance threat detection and response by providing a fresh set of device-level data. To keep releasing updates to Dell Trusted Device software that allow for more integration options since the understand how much it clients enjoy being able to see (for example, security warnings) in the settings of their choice.

For instance, it increased the number of important feature integrations in the Intune environment this autumn. With more features to be included in further DTD versions, Intune administrators may now access more information from BIOS Verification, Intel ME Firmware Verification, and Secured Component Verification (also known as SCV, a component integrity check exclusive to Dell).

Take Advantage of Dell’s Built-in Security

These safeguards, which are all part of the device’s price, are probably already advantageous to you if you own or oversee Dell business PCs.

With the built-in capabilities of Dell SafeBIOS, all Dell business PCs instantly increase the security of any fleet.

Your PC came with Dell Trusted Device software if you bought a commercial device after August 2023. Nous now ship with the “standard” image and pre-install DTD software at the plants. To download and install the program on older devices or for companies who would rather use their own picture, go this link.

Read more on Govindhtech.com

[sunaleisocial]

NASA to Embrace Commercial Sector, Fly Out Legacy Relay Fleet  - NASA

New Post has been published on https://sunalei.org/news/nasa-to-embrace-commercial-sector-fly-out-legacy-relay-fleet-nasa-2/

NASA to Embrace Commercial Sector, Fly Out Legacy Relay Fleet  - NASA

NASA is one step closer on its transition to using commercially owned and operated satellite communications services to provide future near-Earth space missions with increased service coverage, availability, and accelerated science and data delivery.     

As of Friday, Nov. 8, the agency’s legacy TDRS (Tracking and Data Relay Satellite) system, as part of the Near Space Network, will support only existing missions while new missions will be supported by future commercial services.    

“There have been tremendous advancements in commercial innovation since NASA launched its first TDRS satellite more than 40 years ago,” said Kevin Coggins, deputy associate administrator of NASA’s SCaN (Space Communications and Navigation) program. “TDRS will continue to provide critical support for at least the next decade, but now is the time to embrace commercial services that could enhance science objectives, expand experimentation, and ultimately provide greater opportunities for discovery.”    

Kevin Coggins

Deputy Associate Administrator for NASA’s SCaN

Just as NASA has adopted commercial crew, commercial landers, and commercial transport services, the Near Space Network, managed by NASA’s SCaN, will leverage private industry’s vast investment in the Earth-based satellite communications market, which includes communications on airplanes, ships, satellite dish television, and more. Now, industry is developing a new space-based market for these services, where NASA plans to become one of many customers, bolstering the domestic space industry.    

NASA’s Communications Services Project is working with industry through funded Space Act Agreements to develop and demonstrate commercial satellite communications services that meet the agency’s mission needs, and the needs of other potential users.   

In 2022, NASA provided $278.5 million in funding to six domestic partners so they could develop and demonstrate space relay communication capabilities.  

A successful space-based commercial service demonstration would encompass end-to-end testing with a user spacecraft for one or more of the following use cases: launch support, launch and early operations phase, low and high data rate routine missions, terrestrial support, and contingency services. Once a demonstration has been completed, it is expected that the commercial company would be able to offer their services to government and commercial users.    

NASA also is formulating non-reimbursable Space Act Agreements with members of industry to exchange capability information as a means of growing the domestic satellite communications market. The Communications Services Project currently is partnered with Kepler Communications US Inc. through a non-reimbursable Space Act Agreement.    

As the agency and the aerospace community expand their exploration efforts and increase mission complexity, the ability to communicate science, tracking, and telemetry data to and from space quickly and securely will become more critical than ever before. The goal is to validate and deliver space-based commercial communications services to the Near Space Network by 2031, to support future NASA missions.   

While TDRS will not be accepting new missions, it won’t be retiring immediately. Current TDRS users, like the International Space Station, Hubble Space Telescope, and many other Earth- and universe-observing missions, will still rely on TDRS until the mid-2030s. Each TDRS spacecraft’s retirement will be driven by individual health factors, as the seven active TDRS satellites are expected to decline at variable rates.     

The TDRS fleet began in 1983 and consists of three generations of satellites, launching over the course of 40 years. Each successive generation of TDRS improved upon the previous model, with additional radio frequency band support and increased automation.    

The first TDRS was designed for a mission life of 10 years, but lasted 26 years before it was decommissioned in 2009. The last in the third generation – TDRS-13 –was launched Aug. 18, 2017.   

DAve Israel

Near Space Network Chief Architect

“Each astronaut conversation from the International Space Station, every picture you’ve seen from Hubble Space Telescope, Nobel Prize-winning science data from the COBE satellite, and much more has flowed through TDRS,” said Dave Israel, Near Space Network chief architect. “The TDRS constellation has been a workhorse for the agency, enabling significant data transfer and discoveries.”   

The Near Space Network and the Communications Services Project are funded by NASA’s SCaN (Space Communications and Navigation) program office at NASA Headquarters in Washington. The network is operated out of NASA’s Goddard Space Flight Center in Greenbelt, Maryland, and the Communications Services Project is managed out of NASA’s Glenn Research Center in Cleveland. 

[harshnews]

Wireless Medical Device Connectivity Market Size, Share, Demand, Future Growth, Challenges and Competitive Analysis

"Wireless Medical Device Connectivity Market – Industry Trends and Forecast to 2029

Global Wireless Medical Device Connectivity Market, By Component (Wi-Fi Hardware, Wireless Medical Telemetry Hardware, Bluetooth Hardware), End-User (Hospitals, Home Healthcare, Diagnostic Centers, Ambulatory Care) – Industry Trends and Forecast to 2029.

Access Full 350 Pages PDF Report @

**Segments**

- **Product Type:** The wireless medical device connectivity market can be segmented based on product type into monitoring devices, diagnostic devices, implantable devices, and others. Monitoring devices, such as vital signs monitors and ECG machines, play a crucial role in healthcare settings for real-time patient data tracking. Diagnostic devices, including X-ray machines and ultrasound systems, facilitate quick and accurate diagnostics. Implantable devices, like pacemakers and neurostimulators, rely on wireless connectivity for remote monitoring and adjustments. Other devices encompass a wide range of healthcare equipment that can benefit from wireless connectivity.

- **Technology:** Segmentation by technology includes Bluetooth, Wi-Fi, Zigbee, NFC, cellular, and others. Bluetooth technology is commonly used for short-range communication between medical devices and smartphones or tablets. Wi-Fi connections enable broader coverage within healthcare facilities, allowing seamless data transfer. Zigbee is utilized for low-power, short-distance communication in medical device networks. NFC technology facilitates secure data exchange between devices placed in close proximity. Cellular connectivity offers wide-area coverage for remote patient monitoring and telemedicine applications.

- **End-user:** The market can also be segmented by end-user, such as hospitals & clinics, home healthcare, ambulatory care centers, and others. Hospitals and clinics represent the largest end-user segment due to the extensive use of wireless medical devices for patient monitoring and data management. Home healthcare is growing rapidly, driven by the demand for remote monitoring solutions and telehealth services. Ambulatory care centers utilize wireless connectivity to streamline workflows and improve patient care quality. Other end-users include nursing homes, rehabilitation centers, and specialty clinics.

**Market Players**

- **Siemens Healthineers:** A renowned player in the wireless medical device connectivity market, Siemens Healthineers offers a range of solutions for seamless data integration and interoperability in healthcare settings. Their portfolio includes medical imaging systems, laboratory diagnostics, and digital health solutions.

- **GE Healthcare:** With a focus on innovation and technology, GE Healthcare provides advancedGE Healthcare, a key player in the wireless medical device connectivity market, has gained a significant market share through its innovative solutions tailored for healthcare providers. The company's emphasis on technological advancements and research has led to the development of cutting-edge medical devices and systems that support seamless data connectivity and interoperability. GE Healthcare's wide range of offerings includes medical imaging systems, diagnostic equipment, patient monitoring systems, and healthcare IT solutions. These products are designed to enhance clinical workflows, improve patient outcomes, and enable healthcare professionals to make informed decisions efficiently.

GE Healthcare's commitment to research and development has positioned the company as a leader in the wireless medical device connectivity market. By investing in new technologies and partnerships, GE Healthcare continues to introduce innovative solutions that address the evolving needs of healthcare providers. The company's focus on digital health solutions, telemedicine platforms, and remote monitoring devices has contributed to the growth of the wireless medical device connectivity market. GE Healthcare's strong presence in hospitals, clinics, and other healthcare settings worldwide has further solidified its position as a trusted provider of advanced medical technologies.

In addition to its product offerings, GE Healthcare's collaboration with industry partners, healthcare organizations, and technology providers has strengthened its market presence and enabled the company to deliver comprehensive healthcare solutions. By leveraging data analytics, artificial intelligence, and cloud-based platforms, GE Healthcare enhances data management, enables predictive analytics, and supports personalized medicine initiatives. These initiatives not only streamline clinical workflows but also contribute to improved patient care and outcomes.

Furthermore, GE Healthcare's focus on user-friendly interfaces, data security, and regulatory compliance underscores its commitment to delivering high-quality and reliable wireless medical device connectivity solutions. The company's dedication to ensuring seamless interoperability and data exchange across different healthcare systems and devices demonstrates its understanding of the complex challenges healthcare providers face in an increasingly digital and interconnected environment.

In conclusion, GE Healthcare's prominent position in the wireless medical device connectivity market is a result of its relentless pursuit of innovation, collaboration with industry stakeholders, and commitment to addressing the unique needs**Segments**

- **Global Wireless Medical Device Connectivity Market:** The market for wireless medical device connectivity can be segmented based on various factors such as product type, technology, and end-user. Product type segmentation includes monitoring devices, diagnostic devices, implantable devices, and others. Monitoring devices play a crucial role in healthcare settings for real-time data tracking, while diagnostic devices facilitate accurate diagnostics. Implantable devices rely on wireless connectivity for remote monitoring. Technology segmentation covers Bluetooth, Wi-Fi, Zigbee, NFC, cellular, and others. End-user segmentation includes hospitals & clinics, home healthcare, ambulatory care centers, and others.

**Market Players**

- **Siemens Healthineers:** Siemens Healthineers is a key player in the wireless medical device connectivity market, offering solutions for seamless data integration. Their portfolio includes medical imaging systems, laboratory diagnostics, and digital health solutions.

- **GE Healthcare:** GE Healthcare has gained a significant market share through innovative solutions tailored for healthcare providers. Their range of offerings includes medical imaging systems, diagnostic equipment, patient monitoring systems, and healthcare IT solutions. GE Healthcare's commitment to research and development, focus on technological advancements, and collaboration with industry partners have solidified its position in the market.

The **Global Wireless Medical Device Connectivity Market** is witnessing significant growth, driven by the increasing adoption of wireless technologies in healthcare settings. The demand for real-time patient data tracking, remote monitoring, and seamless data transfer has propelled the market forward. The product type segmentation reflects the diverse

TABLE OF CONTENTS

Part 01: Executive Summary

Part 02: Scope of the Report

Part 03: Research Methodology

Part 04: Market Landscape

Part 05: Pipeline Analysis

Part 06: Market Sizing

Part 07: Five Forces Analysis

Part 08: Market Segmentation

Part 09: Customer Landscape

Part 10: Regional Landscape

Part 11: Decision Framework

Part 12: Drivers and Challenges

Part 13: Market Trends

Part 14: Vendor Landscape

Part 15: Vendor Analysis

Part 16: Appendix

Key Coverage in the Wireless Medical Device Connectivity Market Report:

Detailed analysis of Wireless Medical Device Connectivity Market by a thorough assessment of the technology, product type, application, and other key segments of the report

Qualitative and quantitative analysis of the market along with CAGR calculation for the forecast period

Investigative study of the market dynamics including drivers, opportunities, restraints, and limitations that can influence the market growth

Comprehensive analysis of the regions of the Wireless Medical Device Connectivity industry and their futuristic growth outlook

Competitive landscape benchmarking with key coverage of company profiles, product portfolio, and business expansion strategies

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[systemtek]

Goonhilly to boost deep space communications capacity

Goonhilly Earth Station Ltd (Goonhilly) will provide deep space communications services to the UK Space Agency and international partners from its satellite Earth station in Cornwall, under a new contract announced today (16th October 2024) during the International Astronautical Congress in Milan.   Space agencies and companies use a global network of large antennas to communicate with, and transfer data between, their spacecraft and controllers on Earth. As the numbers of space missions beyond Earth orbit – to destinations including the Moon – increase, the capacity of these existing services is reaching their limit.   Several of the world’s space agencies already share resources to cope with high demand, but this issue is predicted to deteriorate with the increase in robotic and human activity around the Moon.  The UK is in a unique position to provide increased capacity through facilities like Goonhilly, which is the world’s most experienced provider of commercial lunar and deep space communications services. Since 2021, Goonhilly has supported over 17 spacecraft beyond geostationary orbit, including CubeSats deployed on the Artemis-I mission. Goonhilly has also provided services for international organisations, including ESA, ISRO, and Intuitive Machines.  Minister for Data Protection and Telecoms, Sir Chris Bryant, said:   Just as digital infrastructure helps us stay connected here on Earth, this government-backed contract will play a vital role in supporting humanity’s next steps to the Moon and beyond.   The UK has a real competitive advantage in space and I want to exploit that to its full potential, using innovative commercial models such as those demonstrated by Goonhilly and the UK Space Agency to attract more investment, generate high-quality jobs and support our international partners. This new agreement between the UK Space Agency and Goonhilly will help expand existing UK capabilities, unlock new and emerging markets and support the growth of the fledgling lunar economy. It will support Goonhilly to provide more services to international agencies and companies to help them cope with the increasing global demand for deep space communications. The contract is task-based and worth up to an initial £2 million this financial year.   Dr Paul Bate, Chief Executive of the UK Space Agency, said:  Our work with Goonhilly is a great example of how the UK can benefit from the commercial opportunities associated with developing the nascent lunar and deep space economy. This contract award signals a step change in how we use different tools as a government agency to support the growing space sector and strengthen international partnerships.   Earth ground stations will play an increasingly important role in every part of the sector, from supporting major UK-led missions such as TRUTHS and Moonlight to enabling the next generation of broadband connectivity in low Earth orbit. Developing this critical capability will help meet both our national and international ambitions in space. With the rapid rise in lunar missions, including upcoming examples like Intuitive Machines’ IM-2, Astrobotic’s Griffin Mission One, and NASA’s Artemis-II, the UK Space Agency recognises the potential for Goonhilly’s advanced capabilities to ensure that deep space networks are able to support increasing demand for communications services.   The UK Space Agency and Goonhilly will work with new international partners to showcase the quality of Goonhilly’s state-of-the-art assets, robust processes, and expert team, initially demonstrating  downlink telemetry and navigation services, with a long-term goal of providing uplink services to control spacecraft in flight – services Goonhilly has already successfully provided for a number of high profile missions.  Executive Director of UKspace, Colin Baldwin, said: Goonhilly Earth Station has pioneered commercial deep space communications capabilities in the UK. This agreement will put the UK at the heart of international missions to the Moon and Mars, and will continue to give us a seat at the top table of space faring nations. As a founding member of the European Space Agency with strong international ties beyond Europe, the UK wants to play a leading role in addressing this issue facing the global space sector, while supporting the development of new commercial models and national capabilites, and attracting more investment into the growing sector.   Matthew Cosby, CTO, Goonhilly Earth Station:   Goonhilly is at the forefront of commercial lunar and deep space communication services, providing vital infrastructure and expertise that supports international missions to the Moon and beyond. As the demand for deep space communications continues to grow, this new contract enables us to expand our capacity, support more missions, and play a key role in the next chapter of space exploration. We are excited to be contributing to the global space ecosystem and strengthening the UK’s leadership in this critical area. Goonhilly is at the heart of a growing cluster of 300 space organisations in Cornwall and the South West of England, which generate an annual income of £600 million and employ 3,200 people. Read the full article

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Satellite Communication Market - Forecast, 2024-2030

Satellite Communication Market Overview

The Market for Satellite Communication is projected to reach $15.18 billion by 2030, progressing at a CAGR of 9.4% from 2024 to 2030. Satellite communication refers to the transmission of data, voice, and video signals using artificial satellites as relay stations. This technology enables communication over long distances, including areas where traditional terrestrial communication infrastructure is unavailable or impractical. Satellite communication systems typically involve the use of ground stations to uplink data to orbiting satellites, which then downlink the data to other ground stations or directly to end-users. These systems are employed in various applications, including telecommunications, broadcasting, navigation, remote sensing, and military operations. The rising demand for various applications such as audio broadcasting and voice communications in end-user industries is analyzed to fuel the growth of the satellite communication industry. The significant adoption of direct-to-home (DTH) in media and entertainment applications is set to positively impact the growth of the market as satellite communication plays a crucial role in communication in providing subscribers with high-quality content. An increase in the use of High Throughput Satellite (HTR) and Low Earth Orbit Satellite for high-speed broadcasting satellite services, cellular backhaul, and other value-added services such as video conferencing, VOIP is set to be the major driver for the growth of the market. The rising adoption of satellite telemetry, automatic identification systems, and Very Small Aperture Terminal markets with improved uplink frequency will drive the market growth.

𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐚𝐦𝐩𝐥𝐞

Report Coverage

The report based on: “Satellite Communication Market – Forecast (2024-2030)”, by IndustryARC covers an in-depth analysis of the following segments. By Technology: Satellite Telemetry, AIS, VSAT and Others. By Communication Network: Satellite Internet Protocol Terminals, Gateways, Modems and others. By Satellite Services: FSS, BSS, MSS, RNSS, Metrological Satellite Services, SBS, RSS. By Communication Equipment: Network Equipment, Consumer Devices. By End User: Commercial (Power and Utilities, Maritime, Mining, Healthcare, Telecommunication & others), Government & Military (Space Agencies, Defence, Academic Research & others). By Geography: North America (U.S, Canada, Mexico), Europe (Germany, UK, France, Italy, Spain, and Others), APAC (China, Japan India, South Korea, Australia and Others), South America (Brazil, Argentina and others), and ROW (Middle East and Africa).

Key Takeaways

Media and Entertainment is set to dominate the satellite communication market owing to the rising demand from a growing population. This is mainly attributed to the increasing demand for the internet and online streaming services such as Amazon Prime Video, Netflix and so on.

North America has dominated the market share in 2023, however APAC is analysed to grow at highest rate during the forecast period due to the high implementation of 5G in the mobile broadband technologies.

Deployment of 5G, requiring high bandwidth for communication is set to drive the market during the forecast period 2024-2030.

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ISOBUS Terminal Market is Set to Thrive on Precision Farming boom

The ISOBUS Terminal Market provides vital solutions for real-time monitoring, data capturing, and telemetry needs of precision farming applications. ISOBUS terminals allow farmers to control various agricultural equipment such as tractors, harvesters, and fertilizer spreaders directly from the cab through a single display with simple user interfaces. These terminals are retrofitable with existing machinery and allow compatibility with implements from different OEMs, thereby driving their adoption.

The Global ISOBUS Terminal Market is estimated to be valued at US$ 1,593.7 Mn in 2024 and is expected to exhibit a CAGR of 10% over the forecast period 2024 To 2031. Key Takeaways Key players operating in the ISOBUS Terminal market are Trimble, Topcon, Raven Industries, KUBOTA, Teletrac Navman, AGCO, Aagland, Lely, AgJunction, Robert Bosch, AgLeader Technology, AgEagle, DICKEY John, CLAAS, CNH Industrial, BouMatic, Hexagon Agriculture, Farmers Edge, Autonomous Tractor Company, Deere & Company. The growing demand for automation and data-driven field management solutions from the agriculture industry is one of the major factors driving the growth of the ISOBUS Terminal market. Farmers are increasingly adopting precision farming techniques to improve field efficiency and maximize crop yields. This has fueled the need for user-friendly farm control interfaces such as ISOBUS terminals. Global players in the ISOBUS Terminal Market Growth are focused on strategic acquisitions and partnerships to strengthen their presence across key agricultural markets. For instance, in 2022, Robert Bosch Venture Capital led a $20 million funding round in FarmWise to support the development of its AI-powered field operation solutions. Such initiatives are helping expand the customer base for ISOBUS Terminals internationally. Market Key Trends Precision agriculture is becoming mainstream with the availability of easy-to-use farm management technologies. One of the major trends in the ISOBUS Terminal market is the growing demand for multilingual support terminals that can be used across geographies. ISOBUS Terminal Companies manufacturers are focusing on providing customizable user interfaces that allow displaying instructions and capturing field data in local languages. This helps remove adoption barriers and further propels the global expansion of the ISOBUS Terminal industry.

Porter’s Analysis

Threat of new entrants: Low cost of entering the ISOBUS terminal market due to standardized communication protocols and components. However, established players have strong brand recognition and distribution networks. Bargaining power of buyers: High as buyers have numerous options to choose from and can negotiate on price and features. This impacts profit margins of suppliers. Bargaining power of suppliers: Moderate as suppliers have to compete intensely on quality, technology and price. Buyers can switch to alternate suppliers in case of dissatisfaction. Threat of new substitutes: Low as ISOBUS terminals have no close substitutes and have become essential for modern farming equipment. Competitive rivalry: High among major players like Trimble, Topcon to gain market share through innovative products and service support. Small players focus on specific customer segments and geographic regions. Europe accounts for the largest share of the global ISOBUS terminal market in terms of value. The growth can be attributed to presence of major agricultural equipment manufacturers in countries like Germany, France, and U.K. Early adoption of modern farming techniques and government initiatives to promote precision agriculture drive the demand. The Asia Pacific region is expected to grow at the fastest pace during the forecast period. Rapid mechanization of farms especially in India and China coupled with rising disposable incomes increases sales. Supportive policies and increasing awareness about farm automation solutions influence new purchases. Geographical Regions Europe accounts for the largest share of the global ISOBUS terminal market in terms of value. The growth can be attributed to presence of major agricultural equipment manufacturers in countries like Germany, France, and U.K. Early adoption of modern farming techniques and government initiatives to promote precision agriculture drive the demand. The Asia Pacific region is expected to grow at the fastest pace during the forecast period. Rapid mechanization of farms especially in India and China coupled with rising disposable incomes increases sales. Supportive policies and increasing awareness about farm automation solutions influence new purchases.

Get more insights on ISOBUS Terminal Market

Vaagisha brings over three years of expertise as a content editor in the market research domain. Originally a creative writer, she discovered her passion for editing, combining her flair for writing with a meticulous eye for detail. Her ability to craft and refine compelling content makes her an invaluable asset in delivering polished and engaging write-ups.

(LinkedIn: https://www.linkedin.com/in/vaagisha-singh-8080b91)

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Machine à tête de forage en tunnel de type flèche, Prévisions de la Taille du Marché Mondial, Classement et Part de Marché des 12 Premières Entreprises

Selon le nouveau rapport d'étude de marché “Rapport sur le marché mondial de Machine à tête de forage en tunnel de type flèche 2024-2030”, publié par QYResearch, la taille du marché mondial de Machine à tête de forage en tunnel de type flèche devrait atteindre 585 millions de dollars d'ici 2030, à un TCAC de 6.2% au cours de la période de prévision.

Figure 1. Taille du marché mondial de Machine à tête de forage en tunnel de type flèche (en millions de dollars américains), 2019-2030

Figure 2. Classement et part de marché des 12 premiers acteurs mondiaux de Machine à tête de forage en tunnel de type flèche (Le classement est basé sur le chiffre d'affaires de 2023, continuellement mis à jour)

Selon QYResearch, les principaux fabricants mondiaux de Machine à tête de forage en tunnel de type flèche comprennent Sandvik, Sany, XCMG, Antraquip, BBM Group, Famur, Sunward, Mitsui Miike Machinery, CREG, Shanghai Chuangli Group, etc. En 2023, les cinq premiers acteurs mondiaux détenaient une part d'environ 64.0% en termes de chiffre d'affaires.

According to QYResearch, the global key manufacturers of Boom Type Tunnel Roadheader include Sandvik, Sany, XCMG, Antraquip, BBM Group, Famur, Sunward, Mitsui Miike Machinery, CREG, Shanghai Chuangli Group, etc. In 2023, the global top five players had a share approximately 64.0% in terms of revenue.

The boom type tunnel roadheader market is influenced by several key drivers that shape its demand and growth prospects:

1. Infrastructure Development: Large-scale infrastructure projects such as tunnels, metro systems, highways, and underground facilities drive the demand for boom type tunnel roadheaders. These machines are essential for excavating tunnels efficiently and precisely, supporting the construction of transportation networks and utilities.

2. Urbanization and Population Growth: Rapid urbanization worldwide increases the demand for transportation infrastructure, including tunnels for metro lines and road networks. Boom type tunnel roadheaders play a crucial role in creating underground pathways that alleviate traffic congestion and support urban expansion.

3. Mining and Quarrying Activities: In addition to civil construction, boom type roadheaders are used in mining and quarrying operations for excavating rock and minerals. The mining sector's demand for these machines contributes to the overall market growth, particularly in regions with significant mineral resources.

4. Technological Advancements: Ongoing technological advancements in roadheader design enhance their efficiency, reliability, and safety. Innovations in cutting tools, automation, control systems, and telemetry improve excavation precision and reduce downtime, driving adoption among contractors and operators.

5. Environmental Regulations: Increasing environmental regulations necessitate the use of efficient and eco-friendly excavation equipment. Modern roadheaders are designed to minimize emissions, noise levels, and energy consumption, aligning with sustainability goals and regulatory requirements in many regions.

6. Cost Efficiency and Project Economics: Boom type tunnel roadheaders offer cost-effective excavation solutions compared to traditional drilling and blasting methods. They reduce project timelines, labor costs, and material wastage, making them attractive for contractors seeking efficient construction methods and better project economics.

7. Government Investments and Funding: Public and private sector investments in infrastructure projects, including transportation and mining, stimulate the demand for tunneling equipment like roadheaders. Government funding initiatives aimed at improving connectivity and infrastructure resilience further boost market growth.

8. Demand for Underground Space Utilization: Growing interest in utilizing underground spaces for various purposes, such as storage, utilities, and commercial facilities, increases the demand for tunnel excavation equipment. Roadheaders enable efficient and safe construction of underground structures, supporting diverse applications.

In summary, the boom type tunnel roadheader market is driven by infrastructure development, urbanization trends, mining activities, technological advancements, environmental considerations, cost efficiency benefits, government investments, and the expanding utilization of underground spaces. These drivers collectively propel the demand for roadheader equipment across various global markets.

À propos de QYResearch

QYResearch a été fondée en 2007 en Californie aux États-Unis. C'est une société de conseil et d'étude de marché de premier plan à l'échelle mondiale. Avec plus de 17 ans d'expérience et une équipe de recherche professionnelle dans différentes villes du monde, QYResearch se concentre sur le conseil en gestion, les services de base de données et de séminaires, le conseil en IPO, la recherche de la chaîne industrielle et la recherche personnalisée. Nous société a pour objectif d’aider nos clients à réussir en leur fournissant un modèle de revenus non linéaire. Nous sommes mondialement reconnus pour notre vaste portefeuille de services, notre bonne citoyenneté d'entreprise et notre fort engagement envers la durabilité. Jusqu'à présent, nous avons coopéré avec plus de 60 000 clients sur les cinq continents. Coopérons et bâtissons ensemble un avenir prometteur et meilleur.

QYResearch est une société de conseil de grande envergure de renommée mondiale. Elle couvre divers segments de marché de la chaîne industrielle de haute technologie, notamment la chaîne industrielle des semi-conducteurs (équipements et pièces de semi-conducteurs, matériaux semi-conducteurs, circuits intégrés, fonderie, emballage et test, dispositifs discrets, capteurs, dispositifs optoélectroniques), la chaîne industrielle photovoltaïque (équipements, cellules, modules, supports de matériaux auxiliaires, onduleurs, terminaux de centrales électriques), la chaîne industrielle des véhicules électriques à énergie nouvelle (batteries et matériaux, pièces automobiles, batteries, moteurs, commande électronique, semi-conducteurs automobiles, etc.), la chaîne industrielle des communications (équipements de système de communication, équipements terminaux, composants électroniques, frontaux RF, modules optiques, 4G/5G/6G, large bande, IoT, économie numérique, IA), la chaîne industrielle des matériaux avancés (matériaux métalliques, polymères, céramiques, nano matériaux, etc.), la chaîne industrielle de fabrication de machines (machines-outils CNC, machines de construction, machines électriques, automatisation 3C, robots industriels, lasers, contrôle industriel, drones), l'alimentation, les boissons et les produits pharmaceutiques, l'équipement médical, l'agriculture, etc.

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Application Performance Management Key Metrics to Track

Welcome to the application performance management (APM) world, where ensuring optimal software functionality is paramount. APM software plays a crucial role in maintaining critical applications’ performance, availability, and user experience.

It continuously measures application performance metrics and promptly alerts administrators when deviations from performance baselines occur. Moreover, APM offers deep visibility into the root causes of potential issues, facilitating proactive resolution before they affect end-users or business operations.

In today’s dynamic digital landscape, characterised by cloud-native environments, APM extends beyond traditional monitoring to encompass comprehensive observability. This holistic approach monitors availability and transaction times and enhances the overall user experience through intelligent insights and automated responses.

What is application performance management?

Application performance management (APM) is the practice of monitoring and analysing critical metrics of software applications using specialised tools and telemetry data. APM helps ensure that applications are available, perform optimally, and deliver excellent user experiences.

It is crucial for mobile apps, websites, and business software. Still, its scope now encompasses services, processes, hosts, logs, networks, and end-users in today’s interconnected digital landscape—including customers and employees.

Monitoring data plays a vital role in Application Performance Management (APM) by providing insights that enable IT teams to pinpoint areas needing improvement and prioritise tasks effectively. By embracing APM, organisations can enhance visibility into dynamic and distributed systems, address issues promptly, and boost overall operational efficiency. 

Application support services ensure that APM solutions integrate seamlessly with existing infrastructure, maximising their effectiveness. When selecting an APM solution, consider scalability, integration capabilities, and ease of use to ensure it aligns with your business needs.

Why do we need APM?

Application Performance Management (APM) tools are crucial for digital teams to monitor and improve application performance. These tools allow teams to analyse various factors affecting an application’s functions, including infrastructure health, code efficiency, and user interactions.

Without APM tools, teams struggle to pinpoint and resolve issues promptly, increasing the risk of user dissatisfaction and app abandonment. 

In today’s digital landscape, where users rely heavily on apps for daily activities like shopping, entertainment, and work, performance issues such as crashes or slow loading times can severely impact user experience and business reputation and revenue.

For practical application management, organisations often rely on project management services to coordinate the deployment and optimisation of APM tools alongside other IT initiatives.

Digital teams face challenges in identifying the root causes of performance problems, ranging from coding errors to network issues or device compatibility conflicts. APM tools provide insights into these issues, enabling proactive management and ensuring smoother app operation.

By embracing APM solutions, businesses can enhance customer satisfaction, maintain productivity, and safeguard brand integrity in an increasingly competitive market.

Why is application performance management critical?

Application performance management (APM) is crucial, especially in today’s trend towards a microservices architecture. More architects opt for distributed systems like VMs, containers, and serverless setups over traditional monoliths. This shift allows each microservice to scale independently, enhancing availability, durability, and efficiency. 

However, managing performance in such environments poses new challenges. Without complete visibility across all layers of applications and infrastructure, detecting and resolving performance issues becomes daunting. This lack of oversight can harm user experience and revenue generation.

Therefore, practical APM tools are essential. They provide comprehensive monitoring capabilities that ensure heightened observability. By leveraging these tools, IT organisations can proactively manage and optimise system performance, regardless of architecture complexity. 

This proactive approach enhances operational efficiency and boosts overall user satisfaction. In conclusion, adopting robust APM solutions is critical for maintaining seamless application performance in modern, distributed environments.

How does application performance management work?

Application performance management (APM) involves using various tools to monitor and optimise applications’ performance, availability, and user experience. These tools provide visibility into user sessions, services, requests, and code performance.

Furthermore, they help teams address issues promptly, ensuring smooth operation and enhancing overall application performance. In addition, businesses often seek the expertise of business intelligence consultancy firms to refine their APM strategies further and maximise the value derived from these tools.

1. Distributed Tracing

Distributed tracing is a vital tool in the application performance management framework. It enables teams to track requests comprehensively, from frontend devices to backend services. This method allows developers to monitor dependencies per request, identify performance bottlenecks, and precisely locate errors. Many modern tools support automatic instrumentation across various programming languages and adhere to OpenTelemetry standards.

2. Service Inventorying

Service inventorying provides a bird’s-eye view of an application’s ecosystem within application performance management. It offers insights into health metrics, dependencies, deployments, and monitoring status for all services involved.

This tool enables developers to search, filter, and visualise service maps, essential for understanding the application’s architecture and monitoring service health effectively.

3. Code Profiling

Code profiling is an indispensable technique in application performance management. It involves capturing snapshots of code execution to pinpoint methods that consume significant time and resources. Tools for code profiling offer various profile types, including wall time, CPU usage, I/O operations, locking behaviours, and memory consumption.

4. Error Tracking

Error tracking is a critical component of application performance management. It involves grouping related errors to provide context for troubleshooting and actionable alerting. Tools in this category offer insights into source code and the state of local variables when mistakes occur. This visibility helps developers quickly identify and resolve issues, ensuring smoother application operation.

5. Database Monitoring:

Database monitoring offers deep visibility into query performance metrics, explain plans, and host-level metrics. Developers can pinpoint whether issues stem from inefficient queries, suboptimal database design, or resource saturation. This information is invaluable for optimising database performance and enhancing overall application responsiveness.

6. Digital Experience Monitoring (DEM): 

Digital Experience Monitoring (DEM) encompasses Real User Monitoring (RUM) and synthetic testing, both crucial for detecting and reducing user-facing issues. RUM provides real-time metrics like load times and error rates alongside features like Core Web Vitals and session video recordings.

Synthetic testing simulates user traffic to proactively identify issues with critical endpoints and user journeys, ensuring a seamless digital experience. In addition, software implementation services are pivotal in effectively integrating these monitoring tools within an organisation’s infrastructure.

What are the main benefits of application performance management?

Application performance management, also known as APM, offers significant benefits for businesses of all sizes. By implementing an integrated APM strategy, teams can enhance operational efficiency and achieve long-term objectives, such as cloud migration or embracing DevOps.

Moreover, APM enables proactive monitoring and troubleshooting, improves user experience, and ensures optimal performance across complex systems. These advantages make APM a crucial tool in today’s digital landscape.

1. Reduced Mean Time to Detect and Mean Time to Resolve

Engineers can swiftly pinpoint and address bottlenecks when an application encounters increased latency by analysing trace and code profiling data. Additionally, utilising error tracking tools allows for a clear understanding of error impact and severity, facilitating efficient resolutions and minimising downtime.

2. Better Team Collaboration

End-to-end tracing empowers front and backend teams to use unified data to troubleshoot user-facing errors and optimise application performance. This cohesive approach fosters synergy and enhances overall operational efficiency.

3. Reduced Risk During Migrations

Leveraging a service inventory and distributed tracing during critical transitions such as cloud migrations or application modernisations ensures that potential regressions are identified and mitigated early. This proactive strategy minimises risks associated with system changes.

4. Improved User Experience

Application performance management tools offer comprehensive insights into how applications serve end users. This holistic view enables developers to optimise front and backend functionalities, enhancing user experience through improved responsiveness and reliability.

5. Increased Agility

Synthetic testing can significantly boost teams’ agility. This proactive approach helps identify user-facing issues before they impact production, preventing potentially damaging changes from going live. Additionally, teams can employ deployment tracking tools to verify that code updates do not introduce performance regressions.

This dual strategy supports a rapid development pace, enabling quicker feature releases and enhancing market responsiveness.By integrating business growth consultancy, teams can align their development efforts with strategic business goals, ensuring that new features enhance functionality and drive market expansion and revenue growth.

6. Tool Sprawl

Application performance management necessitates utilising multiple tools, which can lead to fragmented data, conflicting sources of truth, and frequent context switching. Such challenges often slow down the troubleshooting process, undermining the efficiency of IT operations.

Consolidating tools and integrating data streams can mitigate these issues, providing a more coherent and streamlined approach to performance monitoring.

7. Maintenance Challenges

Implementing and applying performance monitoring application performance monitoring open-source tools offers flexibility and control. However, these benefits come with a trade-off of increased implementation time and ongoing maintenance efforts.

As environments scale, unforeseen costs may be related to infrastructure and compute resources. Therefore, organisations must weigh the benefits against the overheads and plan accordingly to optimise resource allocation.

8. Scalability Considerations

Modern application environments are characterised by dynamic scalability to meet varying demand levels. Solutions must accommodate ephemeral components like containers and serverless functions to manage performance effectively in such environments.

This adaptability ensures that performance management tools can seamlessly monitor and optimise applications regardless of their underlying infrastructure changes.

Choosing an application performance management solution

When selecting an application performance management (APM) solution, it is crucial to address the challenges inherent in managing application performance. A unified solution that requires minimal maintenance and can scale to meet both short-term and long-term goals is essential.

Moreover, look for features such as comprehensive monitoring, predictive analytics, and robust reporting capabilities to manage application performance effectively.

1. Full Coverage Distributed Tracing without Sampling

In application performance management, achieving comprehensive visibility through end-to-end distributed tracing is pivotal. While some tools rely on head-based sampling—deciding which requests to trace at the outset—the most effective solutions ensure 100% trace ingestion by default.

This approach captures every trace, enabling teams to visualise the entire journey of requests, from frontend devices to backend services. Such comprehensive data availability gives teams the necessary insights to troubleshoot issues swiftly.

2. Automated Service Mapping

Modern applications are dynamic and transient, posing challenges in tracking service dependencies. A robust service mapping tool utilises real-time application traces to construct and maintain a live view of service interdependencies across the entire environment.

This capability equips developers with actionable insights to investigate failures and effectively pinpoint the root causes of performance issues.

3. Lightweight Code Profiling

Low-overhead code profiling plays a crucial role in optimising application performance. Unlike traditional profilers, which impose significant performance impacts, advanced tools can operate continuously in production environments without compromising application performance.

They provide granular insights at both request and service levels, enabling developers to proactively identify and address performance bottlenecks.

4. AI-driven Alerts and Insights

Machine learning has revolutionised performance management by automating the detection of causal relationships between issues and their root causes. This capability significantly reduces Mean Time to Resolution (MTTR) by autonomously pinpointing performance anomalies in large-scale, dynamic systems.

By leveraging AI-powered tools, teams can streamline troubleshooting efforts, save time, and optimise operating costs effectively.

Conclusion

In conclusion, effective application performance management (APM) is indispensable for maintaining application performance management software functionality in today’s digital landscape. Organisations can proactively identify and resolve performance issues before they impact end-users by continuously monitoring key metrics and leveraging advanced tools like distributed tracing and AI-driven insights.

A robust APM strategy enhances operational efficiency, improves user experience, mitigates risks during migrations, and fosters better team collaboration across IT functions. Moreover, modern APM solutions’ scalability and comprehensive visibility ensure adaptability to complex, distributed environments.

Therefore, investing in a reliable APM solution is beneficial and essential for businesses looking to uphold application reliability, meet customer expectations, and sustain competitive advantage in the ever-evolving tech industry.

Source: Application Performance Management

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Peripheral Neuropathy Treatment Market Anticipated To Witness High Growth Owing To Increasing Prevalence Of Diabetes

Peripheral neuropathy treatment involves the treatment of diseases of the peripheral nervous system, which can cause numbness, pain, tingling, and weakness. Peripheral neuropathies can affect both the sensory and motor functions of peripheral nerves. The symptoms can range from mild to severe depending on the cause of neuropathy. The main causes of peripheral neuropathies include diabetes, alcohol consumption, infection such as HIV, and autoimmune disorders.

The global peripheral neuropathy treatment market is estimated to be valued at US$ 2146.54 Bn in 2024 and is expected to exhibit a CAGR of 19% over the forecast period 2024 To 2031. Key Takeaways Key players operating in the peripheral neuropathy treatment market are DMedHOK, Inc., Safecare Technology, Octal IT Solution, McKesson Corporation, LS Retail ehf., Liberty Software, Inc., GlobeMed Group, Datascan, Cerner Corporation, Allscripts Healthcare, LLC, and Epicor Software Corporation, among others. The key players are focusing on new product launches, mergers, acquisitions, and partnerships to gain a competitive advantage in the market. For instance, in April 2022, NeuPath Health launched a new peripheral neuropathy treatment program with advanced diagnostics and integrated care to improve treatment outcomes. The increasing adoption of digital technologies such as AI, analytics, and robotic process automation by healthcare providers provides lucrative growth opportunities in the market. Manufacturers are developing telemetry-enabled, wearable medical devices for remote monitoring and quick response to peripheral neuropathy treatment market symptoms, especially for patients living in remote areas. There is huge potential for market expansion in the Asia Pacific region due to the rising geriatric population, increasing healthcare expenditure, growing prevalence of diabetes, and favorable government policies in countries such as China and India. Key players are focusing on expanding their distribution networks in emerging economies to tap the large patient pool in the Asia Pacific region. Market Drivers Increasing prevalence of diabetes: According to IDF, the global prevalence of diabetes among adults over 18 years of age has risen to 10.5% in 2019 and is projected to increase to 12.2% by 2030. Diabetes is the leading cause of peripheral neuropathy and the increasing diabetes patient pool is driving market growth. Rising healthcare expenditure: Rising healthcare spending on chronic disease management provides an impetus to market growth. For instance, the US healthcare spending is projected to grow at an annual rate of 5.4% from 2020 to 2028 and reach USD 6.2 trillion by 2028. With the aging population and increasing prevalence of peripheral neuropathy, healthcare providers are expected to spend more on neuropathy treatment. Market Restrains High cost of advanced treatment options: Advanced treatment options such as electrical stimulation therapy, electromagnetic therapy, and cryotherapy procedures involve high upfront costs which can hinder patient access and adoption, especially in developing countries. This can restrain market potential to some extent. Limited awareness in developing nations: Peripheral neuropathy awareness still remains relatively low in developing nations where majority cases go undiagnosed due to limited access to healthcare resources. This lack of awareness acts as a market barrier.

Segment Analysis The Peripheral Neuropathy Treatment market can be segmented into drug class, route of administration, distribution channel, and indication. Based on drug class, the market is dominated by pregabalin currently owing to the lack of newer approved products, proven efficacy to alleviate pain associated with neuropathy. However, in the coming years, the antidepressants sub-segment is expected to gain market share due to the off-label usage of antidepressants for the treatment of neuropathy. Based on the route of administration, the oral segment holds a significant share as oral drugs are convenient to use. The topical segment is also growing steadily owing to benefits such as direct site action, avoidance of first-pass metabolism resulting in reduced side effects. In terms of distribution channel, hospital pharmacies maintain dominance as neuropathy patients prefer hospitals for prescription drugs along with medical advice. However, the increasing internet penetration and rising online pharmacy platforms are expected to boost the growth of the retail pharmacy segment during the forecast period. Based on indication, diabetic neuropathy remains the major application area of peripheral neuropathy treatment drugs. This is because diabetic neuropathy is the most common form of neuropathy, accounting for more than 50% of neuropathy cases worldwide. Global Analysis On the regional front, North America is projected to command the maximum share in the global peripheral neuropathy treatment market during the forecast period. The increasing prevalence of diabetes and subsequent rise in diabetic neuropathy cases, expanding geriatric population in the U.S. and Canada and availability of new drugs and treatment options in North America is expected to keep the region at the forefront. However, Asia Pacific is anticipated to witness lucrative growth prospects, especially in India and China. This is credited to the presence of a large patient pool, rising healthcare spending, and improving access to healthcare in APAC countries. At country-level, the U.S. leads the North American peripheral neuropathy treatment market aided by its well-established healthcare system and presence of key market players. Germany dominates the European peripheral neuropathy treatment market attributed to the rising research activities and increasing healthcare spending in the country.

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