#Big Data Market Growth

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[phantomrose96]

If anyone wants to know why every tech company in the world right now is clamoring for AI like drowned rats scrabbling to board a ship, I decided to make a post to explain what's happening.

(Disclaimer to start: I'm a software engineer who's been employed full time since 2018. I am not a historian nor an overconfident Youtube essayist, so this post is my working knowledge of what I see around me and the logical bridges between pieces.)

Okay anyway. The explanation starts further back than what's going on now. I'm gonna start with the year 2000. The Dot Com Bubble just spectacularly burst. The model of "we get the users first, we learn how to profit off them later" went out in a no-money-having bang (remember this, it will be relevant later). A lot of money was lost. A lot of people ended up out of a job. A lot of startup companies went under. Investors left with a sour taste in their mouth and, in general, investment in the internet stayed pretty cooled for that decade. This was, in my opinion, very good for the internet as it was an era not suffocating under the grip of mega-corporation oligarchs and was, instead, filled with Club Penguin and I Can Haz Cheezburger websites.

Then around the 2010-2012 years, a few things happened. Interest rates got low, and then lower. Facebook got huge. The iPhone took off. And suddenly there was a huge new potential market of internet users and phone-havers, and the cheap money was available to start backing new tech startup companies trying to hop on this opportunity. Companies like Uber, Netflix, and Amazon either started in this time, or hit their ramp-up in these years by shifting focus to the internet and apps.

Now, every start-up tech company dreaming of being the next big thing has one thing in common: they need to start off by getting themselves massively in debt. Because before you can turn a profit you need to first spend money on employees and spend money on equipment and spend money on data centers and spend money on advertising and spend money on scale and and and

But also, everyone wants to be on the ship for The Next Big Thing that takes off to the moon.

So there is a mutual interest between new tech companies, and venture capitalists who are willing to invest $$$ into said new tech companies. Because if the venture capitalists can identify a prize pig and get in early, that money could come back to them 100-fold or 1,000-fold. In fact it hardly matters if they invest in 10 or 20 total bust projects along the way to find that unicorn.

But also, becoming profitable takes time. And that might mean being in debt for a long long time before that rocket ship takes off to make everyone onboard a gazzilionaire.

But luckily, for tech startup bros and venture capitalists, being in debt in the 2010's was cheap, and it only got cheaper between 2010 and 2020. If people could secure loans for ~3% or 4% annual interest, well then a $100,000 loan only really costs $3,000 of interest a year to keep afloat. And if inflation is higher than that or at least similar, you're still beating the system.

So from 2010 through early 2022, times were good for tech companies. Startups could take off with massive growth, showing massive potential for something, and venture capitalists would throw infinite money at them in the hopes of pegging just one winner who will take off. And supporting the struggling investments or the long-haulers remained pretty cheap to keep funding.

You hear constantly about "Such and such app has 10-bazillion users gained over the last 10 years and has never once been profitable", yet the thing keeps chugging along because the investors backing it aren't stressed about the immediate future, and are still banking on that "eventually" when it learns how to really monetize its users and turn that profit.

The pandemic in 2020 took a magnifying-glass-in-the-sun effect to this, as EVERYTHING was forcibly turned online which pumped a ton of money and workers into tech investment. Simultaneously, money got really REALLY cheap, bottoming out with historic lows for interest rates.

Then the tide changed with the massive inflation that struck late 2021. Because this all-gas no-brakes state of things was also contributing to off-the-rails inflation (along with your standard-fare greedflation and price gouging, given the extremely convenient excuses of pandemic hardships and supply chain issues). The federal reserve whipped out interest rate hikes to try to curb this huge inflation, which is like a fire extinguisher dousing and suffocating your really-cool, actively-on-fire party where everyone else is burning but you're in the pool. And then they did this more, and then more. And the financial climate followed suit. And suddenly money was not cheap anymore, and new loans became expensive, because loans that used to compound at 2% a year are now compounding at 7 or 8% which, in the language of compounding, is a HUGE difference. A $100,000 loan at a 2% interest rate, if not repaid a single cent in 10 years, accrues to $121,899. A $100,000 loan at an 8% interest rate, if not repaid a single cent in 10 years, more than doubles to $215,892.

Now it is scary and risky to throw money at "could eventually be profitable" tech companies. Now investors are watching companies burn through their current funding and, when the companies come back asking for more, investors are tightening their coin purses instead. The bill is coming due. The free money is drying up and companies are under compounding pressure to produce a profit for their waiting investors who are now done waiting.

You get enshittification. You get quality going down and price going up. You get "now that you're a captive audience here, we're forcing ads or we're forcing subscriptions on you." Don't get me wrong, the plan was ALWAYS to monetize the users. It's just that it's come earlier than expected, with way more feet-to-the-fire than these companies were expecting. ESPECIALLY with Wall Street as the other factor in funding (public) companies, where Wall Street exhibits roughly the same temperament as a baby screaming crying upset that it's soiled its own diaper (maybe that's too mean a comparison to babies), and now companies are being put through the wringer for anything LESS than infinite growth that Wall Street demands of them.

Internal to the tech industry, you get MASSIVE wide-spread layoffs. You get an industry that used to be easy to land multiple job offers shriveling up and leaving recent graduates in a desperately awful situation where no company is hiring and the market is flooded with laid-off workers trying to get back on their feet.

Because those coin-purse-clutching investors DO love virtue-signaling efforts from companies that say "See! We're not being frivolous with your money! We only spend on the essentials." And this is true even for MASSIVE, PROFITABLE companies, because those companies' value is based on the Rich Person Feeling Graph (their stock) rather than the literal profit money. A company making a genuine gazillion dollars a year still tears through layoffs and freezes hiring and removes the free batteries from the printer room (totally not speaking from experience, surely) because the investors LOVE when you cut costs and take away employee perks. The "beer on tap, ping pong table in the common area" era of tech is drying up. And we're still unionless.

Never mind that last part.

And then in early 2023, AI (more specifically, Chat-GPT which is OpenAI's Large Language Model creation) tears its way into the tech scene with a meteor's amount of momentum. Here's Microsoft's prize pig, which it invested heavily in and is galivanting around the pig-show with, to the desperate jealousy and rapture of every other tech company and investor wishing it had that pig. And for the first time since the interest rate hikes, investors have dollar signs in their eyes, both venture capital and Wall Street alike. They're willing to restart the hose of money (even with the new risk) because this feels big enough for them to take the risk.

Now all these companies, who were in varying stages of sweating as their bill came due, or wringing their hands as their stock prices tanked, see a single glorious gold-plated rocket up out of here, the likes of which haven't been seen since the free money days. It's their ticket to buy time, and buy investors, and say "see THIS is what will wring money forth, finally, we promise, just let us show you."

To be clear, AI is NOT profitable yet. It's a money-sink. Perhaps a money-black-hole. But everyone in the space is so wowed by it that there is a wide-spread and powerful conviction that it will become profitable and earn its keep. (Let's be real, half of that profit "potential" is the promise of automating away jobs of pesky employees who peskily cost money.) It's a tech-space industrial revolution that will automate away skilled jobs, and getting in on the ground floor is the absolute best thing you can do to get your pie slice's worth.

It's the thing that will win investors back. It's the thing that will get the investment money coming in again (or, get it second-hand if the company can be the PROVIDER of something needed for AI, which other companies with venture-back will pay handsomely for). It's the thing companies are terrified of missing out on, lest it leave them utterly irrelevant in a future where not having AI-integration is like not having a mobile phone app for your company or not having a website.

So I guess to reiterate on my earlier point:

Drowned rats. Swimming to the one ship in sight.

[powerexec]

The Power of Big Data Profits Lead Gen For Insurance & Real Estate Agents

Big Data Profits: Hyper-targeted Leads for Insurance & Real Estate Agents The data power of fortune 500 companies without breaking the bank! You know how Fortune 500 companies have access to massive amounts of data and use it to generate leads at will? Well, guess what? You can now tap into that same data power without breaking the bank! Imagine having access to the same level of data insights…

[healthcarehubhh]

The Big Data Healthcare Market will grow at highest pace owing to rising need for data-driven healthcare services

The big data healthcare market involves collecting and analyzing large and complex data sets generated from various sources like electronic health records, radiology and imaging reports, hospital administration systems, mobile health applications, and sensors to provide insights that improve patient outcomes and reduce overall healthcare costs. Big data analytics in healthcare provides numerous advantages such as enabling accurate diagnoses, facilitating individualized treatments based on personal genomic profiles, and reducing rates of readmissions and medical errors.

The global big data healthcare market is estimated to be valued at US$ 52,629.8 million in 2024 and is expected to exhibit a CAGR of 25% over the forecast period of 2023 to 2030. Key Takeaways Key players operating in the big data healthcare market include Innovaccer Inc., SAS Institute Inc., Optum Inc., Oracle Corporation, Dell Technologies Inc., Epic Systems Corporation, GE Healthcare (GE Company), Cerner Corporation, Allscripts Healthcare Solutions Inc., and International Business Machines Corporation (IBM), among others. These key players are focusing on developing innovative big data analytics solutions and services to gain a competitive advantage in the market. The growing demand for data-driven healthcare services and increasing adoption of digital technologies is one of the major factors driving the growth of the big data healthcare market. Various healthcare organizations and providers are increasingly utilizing big data and real-time analytics to gain meaningful insights from disparate data sources that help enhance decision making and provide better outcomes. Technological advancements in big data analytics, artificial intelligence, and machine learning are further assisting healthcare professionals in acquiring real-time insights from the whole patient history and past treatments to deliver efficient and personalized healthcare services. AI-powered tools analyze genomic data and help clinicians in faster diagnosis and defining personalized treatment plans. Market Trends Rising investments by pharma companies in big data analytics to boost drug discovery and development activities. Drugmakers are utilizing real-time big data insights towards R&D of new molecular entities and formulations with efficacy. Growing adoption of precision medicine and personalized treatment approaches driven by genomics is another key trend witnessed in the market. Market Opportunities Increasing digitization of patient health records in developing nations provides huge opportunities for key players. Integration of IoT-based medical devices and wearables with big data platforms will further enhance applications of real-time healthcare monitoring and chronic disease management. Development of AI-assisted clinical decision support systems also presents lucrative growth prospects. Impact of COVID-19 on Big Data Healthcare Market Growth The COVID-19 pandemic has significantly impacted the growth of the big data healthcare market. Before the pandemic, telehealth and remote patient monitoring were not widely adopted. However, during the pandemic, there was a surge in digitization of healthcare with the implementation of telehealth solutions on a large scale. Healthcare organizations started leveraging big data analytics to better understand the spread of the virus and patient outcomes. Data related to virus symptoms, treatment pathways, clinical trials, vaccine research, and more was gathered and analyzed using big data tools. This helped medical researchers and policymakers make data-driven decisions to curb the virus spread and save lives. However, during the initial months of the pandemic, lack of infrastructure and resources impacted the collection of COVID-19 related data from hospitals and clinics. There were also privacy and security challenges around data sharing among different stakeholders. As the pandemic progressed, more funding was provided for big data infrastructure development. Data standards were established and privacy laws were adapted to facilitate secure data sharing. In the post-COVID era, healthcare systems are now more digitally mature and value the role of big data in delivering value-based and preventive care. Telehealth is expected to remain popular. Overall, while the pandemic initially slowed growth, it accelerated the adoption of big data in the long run.

[trendingreportz]

Big Data Consulting Market - Forecast(2024 - 2030)

Big Data Consulting Market - Overview

The Big Data Consulting market size is forecast to reach USD 36,751.2 million by 2030, after growing at a CAGR of 13.9% during the forecast period 2024-2030. The market for Big Data Consulting industry is influenced by continuous technological advancements, with a focus on innovative solutions such as artificial intelligence and machine learning, driving the demand for expert consulting services. Additionally, the surge in consumer demand for advanced analytics and data-driven insights contributing to the growth of the Big Data Consulting market, as businesses seek strategic guidance to harness the power of large datasets. As businesses seek to maximize the value of their data, the digital transformation wave has raised demand for Big Data consulting services. Big Data trends show a greater emphasis on information quality and better governance, highlighting the necessity of having accurate and reliable data for decision-making. Data as a service, responsible AI predictive analytics, and quantum computing are transforming the Big Data analytics landscape. Businesses acknowledge the importance of data in creating deeper relationships with customers, developing better goods, and optimizing services in 2023. Big data consulting is critical in assisting firms through this data-driven transformation. Governments are rapidly recognizing the value of digital transformation, which has resulted in significant investments in big data technology to boost economic development and efficiency. Governments are eager to maximize the value produced from big data while also mitigating the hazards connected with AI, demonstrating a balanced approach to technological adoption.

Report Coverage

The report “Big Data Consulting Market – Forecast (2024-2030)”, by IndustryARC, covers an in-depth analysis of the following segments of the Big Data Consulting market.

By Type: Solutions, Services.

By Deployment Type: Cloud, On premises and Hybrid

By Organization Size: SME, Large Enterprises

By Application: Data Strategy Consulting, Data Assessment, Analytics, Design and Architectural Consultation, Implementation, Capacity Planning, Performance and Opportunity Analysis, Customer Insights and Others

By End Use Industry: BFSI, Transportation, Government and Defense, Healthcare and Life sciences, Education and Research, IT and Telecom, Retail and Others

By Geography:  North America, South America, Europe, APAC, and RoW.

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Key Takeaways

• North America held the largest market share with 36% in 2023. The growth of Big Data consulting in the U.S. is attributed to several factors,

including the escalating volume of data generated, the evolution of advanced analytics technologies, and the rising awareness among enterprises about the strategic advantages of data-driven decision-making.

• Organizations are recognizing the value of harnessing data-driven insights to make informed business decisions, driving the demand for expert consulting services. Moreover, the proliferation of emerging technologies like artificial intelligence and machine learning is amplifying the need for robust Big Data solutions, further fueling the consulting market's growth.

• In April 2022, Deloitte Canada acquired MDB Insight Inc. to strengthen its Economic Advisory talents and leadership, as well as to expand its existing solutions for public sector and mid-market customers. MDB Insight, with over 15 years of experience, combines comprehensive knowledge in economic and workforce development with new tools and research methodologies to create practical answers and assist organizations in overcoming both commercial and policy difficulties.

By Type - Segment Analysis

Solutions dominated the Big Data Consulting market in 2023. The big data consulting market encompasses a variety of solutions to help businesses leverage large volumes of data for actionable insights like Data Analytics and Business Intelligence, Data Integration and Management and Data Warehousing. As marketing agencies have accumulated more data over time, there has been a need to compress their data and companies have started to rely on data compression in data warehousing methodologies, Thus Big data consultancy in terms of solutions type will see a surge in recent times. Gartner presents AI TRiSM as one of the concepts that will help organizations ensure AI model governance, trustworthiness, fairness, reliability, robustness, efficacy, and data protection. Which they claim will be 50% more successful in terms of adoption and thereby impacting the solution type of Big Data Consulting. The implementation of privacy regulations such as the GDPR in the EU, the CCPA in the USA, and the LGPD in Brazil have set building blocks for data security, which will provide more reliability to data-based solutions in upcoming times.

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By End Use Industry - Segment Analysis

Banking, Financial Services and Insurance (BFSI) dominated the Big Data Consulting market in 2023. Big data consultancy is vital in the BFSI sector, handling vast amounts of daily data, including customer information, financial transactions, market data, and regulatory compliance. It plays a crucial role in leveraging data for valuable insights, operational efficiency, enhanced customer experiences, and meeting regulatory requirements. Federal Trade commission report has stated that credit card fraud is the most prevalent identity theft with 805,000 reports have been filed with the FTC through three quarters of 2023. To overcome these threats BFSI industry has been looking up to Big Data consultancy to control the thefts and cut down losses. The organizational recommendation by Association of Certified Fraud Examiners (ACFE) has emphasized on the use of Big Data and Machine Learning-Artificial Intelligence for it is essential for better customer experience, ensure high fraud detection rate and help identify and fix weaknesses in the system, so it is safe to conclude that the BFSI sector will look towards adapting to big data consultancy in the recent times.

By Geography - Segment Analysis

North America Big Data Consulting market generated a revenue of $5,201 million in 2023 and is projected to reach a revenue of $11,324 million by 2030 growing at a CAGR of 11.6% during 2024-2030. The APAC Big Data Consulting market is projected to experience significant growth during the forecast period. The demand for Big Data consulting services in the United States is witnessing substantial growth, positioning itself as a cornerstone in the ever-evolving landscape of data analytics. In May 2023, IBM introduced IBM watsonx, a new AI and data platform at its annual Think conference, which would enable organizations to scale and accelerate the effect of the most sophisticated AI with trustworthy data. Enterprises that are embracing AI today require access to a full technology stack that allows them to train, tune, and deploy AI models, including foundation models and machine learning capabilities, across their organization with trusted data, speed, and governance - all in one place and across any cloud environment.

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Drivers – Big Data Consulting Market

Rising Consultancy Surrounding Development of Big Data Architecture

Big Data Consulting advises organizations on Big Data, strategy, implementation, and technology that is most suited to managing data collections. Many distinct Big Data initiatives have been undertaken around the world to develop many Big Data models, frameworks, and new technologies to provide additional storage capacity, real-time analysis, and parallel processing of various enormous amounts of data from heterogeneous sources. The Big Data Consulting Market is comprised of two primary strategists, Data Strategist/Architect and Data Scientist/Analyst, whose roles are to analyze business problems, define solutions, optimize solutions, and implement solutions this will push the market forward. In October 2023, The X5 Group, a renowned Russian food retailer, enhanced the capabilities of Dialog.X5, its digital platform for suppliers, with the introduction of a big data analytics solution for suppliers that allows for quick and easy data retrieval. Using X5 DataBridge, X5's partners will be able to swiftly develop whatever report they require, leveraging X5's analytics and combining data from other retailers or data platforms.

Rising Amount of Data Generated by Organizations

The increasing volume of data generated by organizations has resulted in an increase in Big Data consulting services. As firms deal with huge amounts of data, they need expertise in maximizing its value. Organizations are increasingly implementing digital transformation initiatives, which is growing demand for Big Data consulting services to maximize data consumption and decision-making processes. One of the current trends in the Big Data Consulting Market is that it is becoming increasingly popular and in-demand as storage capacity in terms of Terabyte and Petabyte of Big Data generated by enterprises increases. It is extensively used because it can manage enormous amounts of data while scaling to accommodate growth and providing input and output data to analytical tools for analysis. In June 2023, Nielsen, a global leader in audience measurement, data, and analytics, has launched Nielsen Media Data Room (MDR), a cloud-based platform that will modernize how the firm distributes its vast audience data. As census first-party data from clients becomes more crucial in measurement, this significant breakthrough will give organizations with the means to access and share enormous data sets in an efficient and privacy-safe manner.

Challenges – Big Data Consulting Market

Concerns Regarding Data Privacy

Big Data trends include a greater emphasis on AI and ML technology. However, this integration poses questions about preserving information quality and governance, necessitating careful evaluation of the implications for data privacy. The most difficult issue with Big Data is the delicate issue of data privacy and security, which most firms are dealing with. The implementation of GDPR legislation has brought consumer data privacy concerns to the forefront. Concerns about privacy are rising as firms feed more and more customer and vendor data into complex, AI-powered algorithms, resulting in the creation of additional sensitive information unknown to affected consumers and employees. This is especially true in the financial services industry, where consumer data collecting has been at the forefront of big data concerns. These concerns about data privacy may stymie the uptake of Big Data consulting solutions. Organizations are grappling with the need to manage AI threats and maintain acceptable data practices in order to protect individual privacy. Gartner's recognition of "Managing AI Risk" as a trend emphasizes the need of tackling these problems in the big data ecosystem. The prominent big data technology Apache Hadoop emphasizes distributed data processing. However, as businesses implement such technologies, they must handle privacy concerns related to the massive amounts of data being processed.

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Market Landscape

 Technology launches, acquisitions, and Partnership activities are key strategies adopted by players in the Big Data Consulting market. in 2023, The major players in the Big Data Consulting market are Accenture, Amazon Web Services, Dell, HP Inc. IBM, Oracle, SAP and Others.

Developments:

 In September 2023, Oracle and Microsoft have announced Oracle Database@Azure, which gives customers direct access to Oracle database services running on Oracle Cloud Infrastructure (OCI) and deployed in Microsoft Azure datacenters.

 In May 2023, SAP SE and Google Cloud announced an extensive expansion of their partnership, introducing a comprehensive open data offering designed to simplify data landscapes and unleash the power of business data.

[isubhamdas]

Customer Insights: Unravelling Data

Ever wondered how to turn customer data into true understanding? What insights lie hidden in the numbers? Join me on a journey to unravel the mysteries, gaining actionable wisdom for customer-centric success. Your pathway to profound insights begins here! The Pitfall of Relying Solely on DataCracking the Code of Consumer BehaviorThe Human Element in Marketing StrategyStories Over Statistics:…

[mi-researchreports]

The Big Data Analytics in Retail Market is expected to reach USD 5.26 billion in 2023 and grow at a CAGR of 21.20% to reach USD 13.76 billion by 2028. SAP SE, Oracle Corporation, IBM Corporation, Hitachi Vantara Corporation, Qlik Technologies Inc. are the major companies.

[ramkumarss]

Big Data in Agriculture Market Size, Share, Analysis, Growth

Big Data in Agriculture Market Size is valued at USD 718.3 million in 2022 and is expected to reach a value of USD 2,181.7 million by 2029

The global Big data in agriculture market size was valued at USD 718.3 million in 2022 and is poised to grow at a significant CAGR of 17.2% during the forecast period 2023-29. It also includes market size and projection estimations for each of the five major regions from 2023 to 2029. The research report includes historical data, trending features, and market growth estimates for the future. Furthermore, the study includes a global and regional estimation and further split by nations and categories within each region. The research also includes factors and barriers to the Big data in agriculture market growth, as well as their impact on the market's future growth. The report gives a comprehensive overview of both primary and secondary data.  

View the detailed report description here - https://www.precisionbusinessinsights.com/market-reports/big-data-in-agriculture-market                          

The global Big data in agriculture market segmentation: 1) By Solution : Hardware, Software, Services.

2) By Operation on Data : Capturing Data, Storing Data, Sharing Data, Analyzing Data Others.

3) By Application : Chemical Analytics, Weather Analytics, Financial Analytics, Administrative Analytics, Crop Production Analytics, Social Analytics, Farmland/ Equipment Analytics Others.

4) By End User : Farmers, Agriculture Regulatory Bodies, Weather Forecast, Agrochemical Industry, Farm Equipment Industry Others

The primary factors of the Big data in agriculture market drivers are the rising adoption of urban farming practices. The Big data in agriculture market report helps to provide the best results for business enhancement and business growth. It further helps to obtain the reactions of consumers to a novel product or service. It becomes possible for business players to take action for changing perceptions. It uncovers and identifies potential issues of the customers. It becomes easy to obtain the reactions of the customers to a novel product or service. It also enlightens further advancement, so it suits its intended market.

The Big data in agriculture marketresearchreport gives a comprehensive outlook across the region with special emphasis on key regions such as North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. North America was the largest region in the Big data in agriculture market report, accounting for the highest share in 2022. It was followed by Asia Pacific, and then the other regions. Request sample report at - https://www.precisionbusinessinsights.com/request-sample/?product_id=26699                     The important profiles and strategies adopted by Big data in agriculture market key players are IBM Corporation (U.S.) Oracle Corporation (U.S.) Hewlett Packard Enterprise Development LP (U.S.) International Centre for Tropical Agriculture (Colombia) NTT Data Corporation (Japan)., covered here to help them in strengthening their place in the market.

About Precision Business Insights: We are a market research company that strives to provide the highest quality market research insights. Our diverse market research experts are enthusiastic about market research and therefore produce high-quality research reports. We have over 500 clients with whom we have a good business partnership and capacity to provide in-depth research analysis for more than 30 countries. In addition to deliver more than 150 custom solutions, we already have accounts with the top five medical device manufacturers.

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[mmr-14]

Big Data analytics is a process to help integration, examination, and management of a large volume of data.The Big data in healthcare is used to expand predictive care monitoring and advances process-oriented spending.

[stickboy-creative]

In the modern digital age, data has become the lifeblood of businesses across the world. The ability to collect, process, and analyze vast amounts of information has given rise to the era of Big Data.

The question arises- Is Big Data right for you? In this blog, we will explore the immense potential of Big Data and see why harnessing its power can transform your business.

[futuretonext]

The Global Big Data Market is expected to grow at a CAGR of around 14.7% during the forecast period, i.e., 2023-28. Most of the market is driven by the ever-increasing utilization of connected devices integrated with the Internet of Things (IoT), backed by an elevating adoption of technologies like Machine Learning (ML) algorithms, the Internet of Things (IoT), and Artificial Intelligence (AI).

[creepyscritches]

I read your post about open enrollment for the ACA and was hoping you might expand on why you believe it would take years to dismantle. I've been terrified that with a Republican house/senate, Trump could just snap his fingers and make it go away within months of taking office. I'd love some reassurance that that's not possible.

Hiya, sure I can share some thoughts on the matter! First, it's very important to understand the ACA is a huuuuuuuuuuuuge system with subject matter experts in dozens of places throughout the process. I'm one of those SMEs, but I am at the end of the process where the revenue is generated, so my insight is limited on the public facing pieces.

What this means is that I am professionally embedded in the ACA in a position that exists purely to show what conditions people are treated for and then generate that data into what's called a "risk score". There's about 6 pages I could write on it, but the takeaway is that the ACA is

1) intricately interwoven with the federal government

2) increasingly profitable, sustainable, and growing (it is STILL a for-profit system if you can believe it)

3) wholeheartedly invested in by the largest insurance companies in the country LARGELY due to the fact that they finally learned the rules of how to make the ACA a thriving center of business

4) since the big issuers are arm+leg invested in the ACA, there is a lot of resistance politically and on an industry level to leave it behind (think of the lobbyists, politicians, corporations that will fight tooth and nail to protect their profit + investment)

The process to calculate a risk score takes roughly 2 years. There is an audit for the concurrent year and then a vigorous retro audit for the prev year - - this is a rolling cycle every year. Medicare has a similar process. These are RVP + RADV audits if you would like the jargon.

Eliminating the ACA abruptly is as internally laughable as us finishing the RADV audit ahead of schedule. If Trump were to blow the ACA into smithereens on day 1, he would be drowning in issuer complaints and an economic health sector that is essentially bleeding out. You cut off the RVP early? We have half of next RADV stuck in the gears now. You cut off the RADV early? No issuer will get their "risk adjusted" payments for services rendered in the prev benefit year (to an extent, again very complex multi-process system).

The ACA is GREAT for the public and should be defended on that basis alone. However, the inner capitalistic nature of the ACA is a powerful armor that has conservatives + liberals defending it on a basis of capital + market growth. It's not sexy, but it makes too much money consistently for the system to be easily dismantled.

Or at least that's what I can tell you from the money center of the ACA. they don't bring us up in political conversation because we are confusing to seasoned professionals, boring to industry outsiders, and consistently we are anathema to the anti-ACA talking points.

I am already preparing for next year's RVP for this window of open enrollment. That RVP process will feed into the RADV in 2026. In 2025, we begin the RADV for 2024. If nothing else, the slow fucking gears of CMS will keep the ACA alive until we finish our work at the end of the process. I highly doubt that will be the only reason the ACA is safeguarded, but it is a powerful type of support to pair with people protecting the ACA for other reasons.

I work every day to show, defend, and educate on how many diagnoses are managed thru my company's ACA plans. My specialty is cancer and I see a lot of it. The revenue drive comes from the Medical Loss Ratio (MLR) rule stating only 20% MAX of profit may go to the issuer + the 80% at a minimum must go back to the customer or be invested in expanding benefits. The more people on the plan using it, the higher that 20% becomes for the issuer and the more impactful that 80% becomes for the next year of benefit growth. It is remarkably profitable once issuers stop seeking out "healthy populations". The ACA is a functional method for issuers to tap into a stable customer base (sick/chronic ill customers) that turns a profit, grows, and builds strong consumer bases in each state.

The industry can never walk away from this overnight - - this is the preferred investment for many big players. Changing the direction of those businesses will be a monumental effort that takes years (at least 2 with the audits). In the meantime, you still have benefits, you still have care, and you still have reason to sign up. Let us deal with the bureaucracy bullshit, go get your care and know you have benefits thru 2025 and we will be working to keep it that way for 2026 and forward. This is a wing of the federal government, it is not a jenga tower like Trump wishes.

[reporttrendz]

The Market for Big Data In Supply Chain is forecast to reach $3.9billion by 2026, growing at a CAGR of 26.1% from 2021 to 2026 due to rapid increase in consumer and machine data developments. The market will be driven by new channel programs such as E-commerce and social media programs.

[theresearchblog]

Big Data in Aerospace and Defence Market to See Huge Growth by 2027 | Amazon, Microsoft, Cisco Systems, Accenture

Advance Market Analytics published a new research publication on “Global Big Data in Aerospace and Defence Market Insights, to 2027” with 232 pages and enriched with self-explained Tables and charts in presentable format. In the study, you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market-associated stakeholders. The growth of the Big Data in Aerospace and Defence market was mainly driven by the increasing R&D spending across the world.

Major players profiled in the study are:

Accenture (Ireland), Airbus Defense and Space (Munich), IBM (United States), Teradata Corporation (United States), Amazon (United States), Microsoft Corporation (United States), Google (United States), Cisco Systems (United States), SAS Institute (United States), SAP SE (Germany),

Get Exclusive PDF Sample Copy of This Research @ https://www.advancemarketanalytics.com/sample-report/119578-global-big-data-in-aerospace-and-defence-market#utm_source=DigitalJournalVinay

Scope of the Report of Big Data in Aerospace and Defence

Big Data analytics is extensively changing the outlook for the aerospace and defence industry, economically, strategically, and operationally. Big Data has capabilities to maximize the business potential of data collection and analytics for the benefits of the aerospace and defence industry. Also, enhance the passenger experience as well as have an optimized environment. The use of big data for predictive maintenance, vehicle tracking, route planning, and real-time performance checking has increased the adoption of big data in the aerospace and defence industry. This has majorly driven the market growth and is anticipated to boost the market size in upcoming years.

On June 13, 2019 – The aerospace and defense (A&D) industry will be more affected by artificial intelligence (AI) than by any other major emerging technology over the next three years, according to Aerospace & Defense Technology Vision 2019, the annual report from Accenture that predicts key technology trends likely to redefine business. The study also underscores the growing importance of reskilling programs as a competitive lever.

The Global Big Data in Aerospace and Defence Market segments and Market Data Break Down are illuminated below:

by Type (Solution (Big Data Analytics, Data Discovery, Data Management, System Integration, Others), Service (Professional, Managed)), Application (Customer Analytics, Operational Analytics, Data Warehouse Optimization, Other), Industry (Defence, Aerospace), Deployment (On-Premises, Cloud)

Market Opportunities:

Real-Time Aircraft Monitoring Using Big Data Platform

Strengthening Regulatory Landscape For Data Protection

Market Drivers:

Growing Need To Analyze High Volume Data

Increasing Demand for Real-time Tracking Of Vehicle

Market Trend:

Increasing Number of Connected Devices

What can be explored with the Big Data in Aerospace and Defence Market Study?

Gain Market Understanding

Identify Growth Opportunities

Analyze and Measure the Global Big Data in Aerospace and Defence Market by Identifying Investment across various Industry Verticals

Understand the Trends that will drive Future Changes in Big Data in Aerospace and Defence

Understand the Competitive Scenarios

Track Right Markets

Identify the Right Verticals

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Have Any Questions Regarding Global Big Data in Aerospace and Defence Market Report, Ask Our Experts@ https://www.advancemarketanalytics.com/enquiry-before-buy/119578-global-big-data-in-aerospace-and-defence-market#utm_source=DigitalJournalVinay

Strategic Points Covered in Table of Content of Global Big Data in Aerospace and Defence Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Big Data in Aerospace and Defence market

Chapter 2: Exclusive Summary – the basic information of the Big Data in Aerospace and Defence Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Big Data in Aerospace and Defence

Chapter 4: Presenting the Big Data in Aerospace and Defence Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2016-2021

Chapter 6: Evaluating the leading manufacturers of the Big Data in Aerospace and Defence market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2022-2027)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

Finally, Big Data in Aerospace and Defence Market is a valuable source of guidance for individuals and companies.

Read Detailed Index of full Research Study at @ https://www.advancemarketanalytics.com/buy-now?format=1&report=119578#utm_source=DigitalJournalVinay

Contact Us:

Craig Francis (PR & Marketing Manager)

AMA Research & Media LLP

Unit No. 429, Parsonage Road Edison, NJ

New Jersey USA – 08837

[themarketinsights]

Big Data Spending in Healthcare Market to See Booming Growth | Optum, Philips, Cerner, Mckesson

Advance Market Analytics published a new research publication on “Global Big Data Spending in Healthcare Market Insights, to 2027” with 232 pages and enriched with self-explained Tables and charts in presentable format. In the study, you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market-associated stakeholders. The growth of the Big Data Spending in Healthcare market was mainly driven by the increasing R&D spending across the world.

Major players profiled in the study are:

Cognizant (United States), Dell (United States), GE Healthcare (United States), Siemens (Germany), Cerner Corporation (United States), Optum (United States), Philips (The Netherlands), Mckesson (United States), Xerox (United States), IBM Corporation (United States), Allscripts (United States), Microsoft Corporation (United States), Oracle Corporation (United States)

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Scope of the Report of Big Data Spending in Healthcare

Big Data in Healthcare is mainly a term that is used to describe the vast amounts of information created by the advent of digital technologies that collect patient records and help manage hospital performance, otherwise too large and complex for traditional technologies. The application of big data analysis in healthcare has many positive and life-saving results. Big-style data essentially refers to the enormous amounts of information created by digitizing everything that is consolidated and analyzed by certain technologies. Applied to health care, it uses specific health data of a population (or a specific person) and may help prevent epidemics, cure diseases, reduce costs, etc. The US health system is rapidly adopting electronic health records, increasing the number of electronic health records that are available to clinical data dramatically. At the same time, many rapid advances have been made in clinical analytics techniques for analyzing large amounts of data as well as extracting new insights from that analysis, which is a very important part of what is known as big data.

The Global Big Data Spending in Healthcare Market segments and Market Data Break Down are illuminated below:

by Application (Clinical Analysis, Financial Analysis, Operational Analysis), Deployment Mode (Cloud-Based, On-Premises), Source of Big Data (Patient Portal, Government Agencies, Electronic Health Record, Search Engine Data, Public Records, Research Studies, Others), Software/Service Type (Software, Service), End-Use (Private Insurance Companies, Hospitals, Post-Acute Care Organizations (PACOS), Ambulatory Settings, Others)

Market Opportunities:

Surging Adoption of the Cloud Model

Rising Adoption as the Use of Big Data Reduce the Costs of Health Care

Market Drivers:

Increase in Data Volume Generated

Staggering Growth in Unstructured Medical Data

Market Trend:

Aforementioned Move from a Pay-For-Service Model to a Value-Based Care Model

Huge Demand for Data Science and Predictive Analysis

What can be explored with the Big Data Spending in Healthcare Market Study?

Gain Market Understanding

Identify Growth Opportunities

Analyze and Measure the Global Big Data Spending in Healthcare Market by Identifying Investment across various Industry Verticals

Understand the Trends that will drive Future Changes in Big Data Spending in Healthcare

Understand the Competitive Scenarios

Track Right Markets

Identify the Right Verticals

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Have Any Questions Regarding Global Big Data Spending in Healthcare Market Report, Ask Our Experts@ https://www.advancemarketanalytics.com/enquiry-before-buy/33432-global-big-data-spending-in-healthcare-market#utm_source=DigitalJournalVinay

Strategic Points Covered in Table of Content of Global Big Data Spending in Healthcare Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Big Data Spending in Healthcare market

Chapter 2: Exclusive Summary – the basic information of the Big Data Spending in Healthcare Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Big Data Spending in Healthcare

Chapter 4: Presenting the Big Data Spending in Healthcare Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2016-2021

Chapter 6: Evaluating the leading manufacturers of the Big Data Spending in Healthcare market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2022-2027)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

Finally, Big Data Spending in Healthcare Market is a valuable source of guidance for individuals and companies.

Read Detailed Index of full Research Study at @ https://www.advancemarketanalytics.com/buy-now?format=1&report=33432#utm_source=DigitalJournalVinay

Contact Us:

Craig Francis (PR & Marketing Manager)

AMA Research & Media LLP

Unit No. 429, Parsonage Road Edison, NJ

New Jersey USA – 08837