#Automotive Artificial Intelligence Market 2022

[neha24blog]

Automotive Artificial Intelligence Market Segmented On The Basis Of Component, Level Of Autonomy, Technology, Vehicle Type, Region And Forecast To 2030: Grand View Research Inc.

San Francisco, 1 Feb 2023: The Report Automotive Artificial Intelligence Market Size, Share & Trends Analysis Report By Component, By Level Of Autonomy (Level 1, Level 2, Level 3, Level 4), By Technology, By Vehicle Type, By Region, And Segment Forecasts, 2022 – 2030 The global automotive artificial intelligence market size is expected to reach USD 14.23 billion by 2030, advancing at 21.6% CAGR,…

[chandupalle]

The global automotive artificial intelligence market size is valued at USD 2.3 Billion in 2022 and is anticipated to be USD 7.0 Billion by 2027; growing at a CAGR of 24.1% from 2022 to 2027.

[mariacallous]

Elon Musk is a man comfortable with risky bets. He pledged to send 1 million people to Mars (SpaceX), to fill factories with humanoid workers (Tesla Bot), and to create a network of highways deep underground (the Boring Company). All of these bets are yet to pay off. But six years ago, Musk took a leap of faith that would also affect him personally. He tied his own pay at Tesla to a series of financial targets over the next decade, including boosting the company’s market value from $59 billion to $650 billion. Such targets were decried by commentators at the time as “jaw-dropping” and “his most unlikely goal yet.�� And Musk’s wage from the company if he didn’t pull them off? Nothing at all.

The board agreed to the plan in 2018. However, a heavy-metal drummer named Richard Tornetta, who owned just nine Tesla shares, did not. In June of that year, he decided to sue, claiming the pay package was unfair to investors like him. By the time the case reached court in Delaware in 2022, Musk had just one milestone left before the big payout. But the judge agreed with Tornetta in January, voiding what she called an unfathomably large pay package and describing the directors who negotiated it as beholden to Musk.

Musk succeeded in hitting those 12 jaw-dropping targets by the close of 2023, following Tesla’s brief spell as a trillion-dollar company. And now, despite what happened in Delaware, he’s demanding to be paid. At Tesla’s annual meeting on Thursday, shareholders are being asked to vote again on whether Musk should receive what has by now swollen to a nearly $50 billion pay package, the biggest in US corporate history. The $50 billion question for shareholders is: Is Musk worth it?

Posing the question of whether he deserves his pay packet at all marks a significant shift for the relationship between Musk and the electric automaker he has led since 2008. “The resistance shows that there is a ceiling to the influence that a single person has on the company,” says Mike Ramsey, an automotive analyst at the consultancy Gartner. “This is the the first time Tesla shareholders might be willing to say, ‘You can’t have unlimited power.’”

The vote comes at a difficult time for Tesla. For the first time in the company’s history, Tesla is facing intense competition in the electric car market—especially from cheaper Chinese competitors. Meanwhile, some observers have puzzled over Musk’s response and his pivot to robotaxis and artificial intelligence.

“The debate here really is about the future, not the past,” says John Colley, professor of practice in strategy and leadership at the UK’s Warwick Business School. “Tesla has become a mature business, and it’s got all the problems that mature carmakers have now.” Whether a visionary like Musk is the best man to lead a mature business is unclear, he adds.

The pay package is just one in a series of measures that shareholders have already been asked to vote on by proxy, ahead of Thursday’s meeting. Others include whether Tesla’s incorporation should move from Delaware to Texas, whether the company should soften its hardline stance on labor negotiations, and whether the company should preemptively impose a moratorium on using minerals mined from the seabed.

Yet none have been as divisive as Musk’s pay. Deep rifts among investors have been exposed in the lead-up to the vote. Tesla board chair Robyn Denholm has backed the pay package, as has billionaire investor Ron Baron. “Tesla is better with Elon,” Baron wrote in an open letter last week. “Tesla is Elon.” Yet the deal’s opponents include two influential proxy advisory groups, which guide institutional investors on votes, as well as shareholders from the Nordic countries, where Tesla has clashed with workers over labor rights.

Norway’s trillion-dollar sovereign wealth fund has said it will vote against the pay deal, as will the country’s largest pension fund, KLP. “While we acknowledge that the company has grown significantly and successfully during the performance period, we still note that the total award value remains excessive,” Kiran Aziz, KLP's head of responsible investments, told WIRED, adding the fund will vote in favor of the motion urging Tesla to engage in labor negotiations. “Recent [dispute] between Tesla and the company’s workers in Sweden as well as Tesla’s history of accusations of interference with workers’ rights is of great concern and shows that the company needs to do better work in the area.”

Behind the scenes of the vote, lobbying has been intense. Tesla has paid for ads on Google and X, which is owned by Musk, telling investors to “protect your investment” and support the proposal, according to a company filing with the Securities and Exchange Commission. In April, Tesla also launched a website urging shareholders to vote against the Delaware court decision and support the pay package. “The Court’s decision, if implemented, means that Elon would not receive any compensation for the tremendous accomplishments that have generated significant stockholder returns in less than six years,” the website reads.

“This is the most advertising I can remember from any proxy solicitation,” says Robert Anderson, a professor at the University of Arkansas School of Law. He believes the Musk effect—the CEO’s ability to attract endless publicity—has contributed to this situation. But the pay package and the proposed Texas move are both unprecedented in the business world, he adds. “Either [of] those things by themselves would be pretty significant, even if he were not a public figure.”

The vote will be decided by a mix of institutional investors as well as an unusually large cohort of retail investors, who control around 44 percent of the business. Among shareholders, there are concerns that if Musk does not win his compensation, “his attention might drift to some of his other ventures a little bit more,” says Anderson. Musk managed to juggle multiple ventures for years, but he has been more publicly distracted since acquiring the social media service Twitter and renaming it X. There, his visible turn to right-wing politics has garnered new fans and left some old ones behind.

Whatever happens this week, Tesla and Musk may emerge looking a bit less superhuman. For years, the two have insisted that Tesla is a tech company, with a Silicon Valley–style startup scrappiness. “We should be thought of as an AI or robotics company,” Musk told investors—or voters—in April. “If you value Tesla as just an auto company … fundamentally, it’s just the wrong framework.”

[techscopetechnologiesltd]

Revolutionizing Manufacturing: Top Trends to Watch in 2023

The manufacturing industry faced several challenges in 2022, including disruptions in the supply chain, transportation difficulties, worker shortages, and inflation. As a manufacturing company, it is essential to stay informed about the emerging industrial developments to prevent the issues that plagued the industry last year.

However, one thing we can tell you for sure is, having the right technology in place can bring you closer to gaining a competitive edge and adapting to the changing industry dynamics. To help manufacturing businesses gain this edge, we offer next generation SAP ERP solution.

What are some technological trends the manufacturing industry can expect in 2023?

Industry 4.0 and Digital Transformation

Industry 4.0 and digital transformation will continue to be major drivers of innovation in the manufacturing industry in 2023. With the rise of the Internet of Things (IoT), Artificial Intelligence (AI), and other advanced technologies, manufacturers will have unprecedented access to real-time data, which will enable them to optimize their operations and improve efficiency. By integrating digital technologies across the entire supply chain, manufacturers will be able to achieve greater flexibility, agility, and responsiveness to changing market demands.

Advanced Robotics and Automation

As the cost of robotics and automation technology continues to decrease, we can expect to see an increased adoption of these technologies in the manufacturing industry. Robotics and automation can help manufacturers reduce labor costs, improve quality and consistency, and increase productivity. With the advent of more advanced robotics and automation systems, we can expect to see greater levels of collaboration between human workers and robots, as well as the development of more complex and sophisticated automation systems.

Sustainability and Green Manufacturing

As the world becomes increasingly aware of the impact of climate change, sustainability and green manufacturing will become more important in 2023. Manufacturers will need to find ways to reduce their environmental impact, including the use of renewable energy sources, the reduction of waste and emissions, and the adoption of sustainable materials and processes. Customers are also becoming more conscious of their environmental impact, which means that manufacturers who prioritize sustainability will be more competitive in the marketplace.

Additive Manufacturing

Additive manufacturing, also known as 3D printing, is a rapidly growing technology that is changing the way manufacturers design, prototype, and produce products. In 2023, we can expect to see an increased adoption of additive manufacturing technologies, particularly in industries such as aerospace, healthcare, and automotive. With the ability to produce highly complex parts and components on-demand, additive manufacturing will enable manufacturers to achieve greater levels of customization and flexibility.

Reshoring and Nearshoring

The COVID-19 pandemic has highlighted the risks of global supply chains and the importance of resilience and agility in manufacturing. In 2023, we can expect to see more manufacturers exploring reshoring and nearshoring strategies to reduce their reliance on overseas suppliers and improve their ability to respond to changing market conditions. By bringing production closer to home, manufacturers can reduce lead times, improve quality control, and reduce transportation costs.

In conclusion, the manufacturing industry is set to undergo significant changes in 2023, driven by digital transformation, advanced robotics and automation, sustainability, additive manufacturing, and reshoring and nearshoring. Manufacturers who stay ahead of these trends will be better equipped to compete in an increasingly complex and competitive global marketplace.

If you want to transform your business by implementing latest solutions, get in touch with the team of Techscope Technologies.

Source: https://techscope.co.in/revolutionizing-manufacturing-top-trends-to-watch-in-2023/

[rohitpalan]

Facial Recognition Market Set to Skyrocket to USD 25.4 Billion by 2033, Growing at a 16.1% CAGR

The face recognition market is expected to increase at a 16.1% compound annual growth rate (CAGR) from US$ 5.7 billion in 2023 to US$ 25.4 billion by 2033, according to a new FMI report. This poll indicates that the modern CCTV cameras installed in most public locations to deter crime and terrorist acts and to improve public safety are receiving more funding from the government, which is driving the expansion of the facial recognition industry.

Throughout the forecast period, the need for face detection systems to boost safety and security, as well as the growth of applications in physical security and intelligent signs, are anticipated to fuel the global facial recognition market’s expansion. The poll’s predictions suggest that technological developments such as cloud-based

The gradual rise in use cases following the COVID-19 pandemic is another factor that has benefited the market’s requirement for facial recognition. Additionally, these devices are being used by healthcare institutions all around the world to do thermal camera inspections.

Key Takeaways from the Market Study

Global Facial Recognition market to be valued at US$ 5.2 Bn by 2022-end

By Component, Software Tools Segment expanded at a CAGR of 16.8% until 2021

Law Enforcement applications ruled the Facial Recognition market with a CAGR of 16.7% until 2021.

China to account for the highest value share of US$ 1.6 Bn of global market demand for the Facial Recognition market in 2032.

Competitive Landscape

Players in the global Facial Recognition market focus on expanding their global reach through various strategies, such as; partnerships, collaborations, and partnerships. The players are also making a significant investment in R&D to add innovations to their products which would help them in strengthening their position in the global market. Some of the recent developments among the key players are:

In March 2022, Aware, a biometrics software and services company, partnered with MIRACL to expand its cloud-based biometric authentication technology. The partnership is a mutual reseller arrangement whereby each company can both sell each other’s products and integrate them within their own product lines, quickly bringing to market password-free login paradigms delivering superior security and simplicity for users.

In March 2022, SALTO’s acquisition of Cognitec Systems initiates a strong partnership of business synergy and innovation. This acquisition is expected to meet market requests for adding face recognition and artificial intelligence technologies to the company’s renowned electronic access control and ticketing solutions. In addition, both companies appreciate a similar innovative work environment and corporate culture.

More Insights on the Facial Recognition Market

Future Market Insights offers an unbiased analysis of the global facial recognition market, providing historical data for 2015-2021 and forecast statistics from 2022-2032. To understand opportunities in the facial recognition market, the market is segmented on the basis of component type, application, and vertical across five major regions.

Key Segments Covered in the Facial Recognition Industry Report

Facial Recognition by Component

Facial Recognition Software Tools

2D Facial Recognition

3D Facial Recognition

Facial Analytics

Facial Recognition Services

Training and Consulting

Cloud Based Facial Recognition

Facial Recognition by Vertical

Facial Recognition in Banking

Facial Recognition in Retail & E-Commerce

Facial Recognition in Automotive

Facial Recognition in Healthcare

Facial Recognition in Government & Defence

Facial Recognition for Other Verticals

Facial Recognition by Application

Facial Recognition for Law Enforcement

Facial Recognition for Access Control

Facial Recognition for Emotion Recognition

Facial Recognition for Attendance Tracking and Monitoring

Facial Recognition for Other Applications

[mrfr1234]

Electrical Digital Twin Market to USD 3,342.7 Million by 2033

As per a new market research report published by Future Market Insights, the global electrical digital twin market is anticipated to increase significantly, progressing from USD 1,085.9 million in 2023 to USD 3,342.7 million by 2033. Throughout this projected period, the market is expected to experience substantial growth with a strong CAGR of 11.9%.

The increased acceptance of innovative technologies such as IoT and cloud for digital twin applications and attractive digital twin prospects in industries such as aerospace and defense, healthcare, and automotive and transportation are driving demand for electrical digital twin.

The digital twin is being used in various industries, including automotive, construction, and manufacturing. In addition, firms in these industry verticals are continually leveraging digital twin systems and technologies to evaluate the performance of physical assets and highlight where changes and enhancements are needed to achieve beneficial outcomes.

Browse more: https://www.globenewswire.com/en/news-release/2022/03/29/2412188/0/en/Electrical-Digital-Twin-Market-Predicted-to-Reach-a-Value-of-US-3-13-Bn-by-2032-Comprehensive-Research-Report-by-FMI.html

Recent Developments by the Electrical Digital Twin Service Providers

Digital twin modeling and simulation technology was developed by ABB and Corys in 2020 using ABB Ability 800xA Simulator and Indices Plus process modeling.

A visual computing platform was designed in 2022 by a collaboration of Siemens and Threedy to provide access to visual digital twin information.

In 2021 the on-premises analytics software of General Electric was upgraded that can now utilize artificial intelligence and machine learning technologies. AI and ML can be used for the quick identification of problems and suggest remedies fast for better performance.

Key Players in the Industry:

Aveva Group; General Electrical; Siemens AG; Emerson Electric Manufacturing Co.; Etteplan Engineering Co.; Wipro Ltd.; Microsoft Corporation; International Business Machines Corporation (IBM); Schneider Electric. Co.

Electrical Digital Twin Industry Segmentation:

By Twin Type:

Digital Gas & Steam Power Plant

Digital Wind Farm

Digital Grid

Digital Hydropower Plant

Distribution Energy Resources

Other Applications

By Usage Type:

Production Digital Twin

Process Digital Twin

System Digital Twin

By Deployment Type:

Cloud

On-premises

By End User:

Utility Service Providers

Grid Infrastructure Operators

By Application:

Asset Performance Management

Business & Operations Optimization

Digital Twin Aggregate

By Region:

North America Market

Europe Market

East Asia Market

Asia Pacific Market

Latin America Market

Middle East and Africa Market

[industrynewsupdates]

Optical Sensors Market: Key Trends and Growth Opportunities

The global optical sensors market size is anticipated to reach USD 54.83 billion by 2030, registering a CAGR of 11.8% from 2024 to 2030, according to a new report by Grand View Research, Inc. Factors such as the rising adoption of automation in various industries and growing demand for consumer electronics products such as smartphones, laptops, & wearable smart devices are driving market growth. Moreover, the increasing demand for optical sensors in consumer electronics, healthcare, automotive, and aerospace & defense industries presents significant growth opportunities for the market.

Robots now perform various duties in electronics, industrial, and automobile manufacturing industries. Industrial robots use many sensors for excellent manipulation and control in industrial automation manufacturing techniques. The sensors enable it to respond to its surroundings flexibly, and cutting-edge sensor technology raises its IQ to new heights. Sensor technology is a critical applied science for industrial robots.

The growing use of industrial robots is expected to drive the optical sensors industry. For instance, India set a new installation record for industrial robots, reaching 4,945 units, marking a 54% surge compared to the prior year (3,215 units in 2020). It places India at the tenth position globally for annual installations, as the International Federation of Robotics (IFR) reported in their World Robotics report.

Gather more insights about the market drivers, restrains and growth of the Optical Sensors Market

Optical Sensors Market Report Highlights

• Based on type, intrinsic sensors dominated the market with a 55.0% share in 2023. A rising trend involves combining intrinsic sensors with emerging technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI). This integration aims to facilitate broader and smarter data analysis across various industries for diverse applications

• Based on sensor type, biomedical sensors are expected to grow at the fastest CAGR over the forecast period. Wearable sensors have been increasingly used in monitoring health indicators like pulse rate, ECG, heart rate, blood pressure, and body temperature. Their application includes personalized medicine and the identification of cancer biomarkers across various diseases

• Based on application, the temperature sensing segment held a significant market share in 2023. Temperature sensors have applications in different sectors, including healthcare, automotive, food, and industrial. The most common applications for body temperature sensors are measuring skin temperature, forehead temperature, or ear temperature

• Asia Pacific dominated the market and accounted for a 40.9% share in 2023. Expansion in automotive sales and technological advancement in consumer electronics in the Asia Pacific region is expected to fuel the market growth. The region has a rising demand for products like smartphones, tablets, PCs, and smartwatches. In the first quarter of 2022, India witnessed a surge of 48% in PC shipments, reaching an exceptional 5.8 million units

Optical Sensors Market Segmentation

Grand View Research has segmented the global optical sensors market based on type, sensor type, application, end-use, and region:

Optical Sensors Type Outlook (Revenue, USD Million, 2018 - 2030)

• Extrinsic Sensor

• Intrinsic Sensor

Optical Sensors, Sensor Type Outlook (Revenue, USD Million, 2018 - 2030)

• Fiber Optic Sensor

• Photoelectric Sensor

• Optical Temperature Sensors

• Biomedical Sensors

• Displacement & Position Sensors

• Point Sensors

• Others 

Optical Sensors Application Outlook (Revenue, USD Million, 2018 - 2030)

• Pressure & Strain Sensing

• Temperature Sensing

• Geological Survey

• Biometric

• Others 

Optical Sensors End-use Outlook (Revenue, USD Million, 2018 - 2030)

• Healthcare

• Consumer Electronics

• Energy & Utility

• Aerospace & Defense

• Automotive & Transportation

• Manufacturing

• Others 

Optical Sensors Regional Outlook (Revenue, USD Million, 2018 - 2030)

• North America

o U.S.

o Canada

• Europe

o Germany

o UK

o France

o Italy

o Spain

o Netherlands

• Asia Pacific

o China

o Japan

o India

o South Korea

o Australia

• Latin America

o Brazil

o Mexico

o Argentina

• Middle East and Africa (MEA)

o Saudi Arabia

o UAE

o South Africa

Order a free sample PDF of the Optical Sensors Market Intelligence Study, published by Grand View Research.

[kristinahertzz]

Automotive Intelligent Tire Market

Automotive Intelligent Tires Market Size, Share, Trends: Continental AG Leads

Smart Tires with Integrated Sensors and AI Capabilities Gain Traction in the Automotive Sector

Market Overview:

The Automotive Intelligent Tires Market is expected to develop at a XX% CAGR from 2024 to 2031. The market value is estimated to reach USD XX billion in 2024 and USD YY billion in 2031. Asia-Pacific is expected to lead the market throughout the projection period. Key metrics include increased car production, rising demand for sophisticated safety features, and increased use of IoT in automotive applications.

The market for automotive intelligent tires is expanding rapidly, owing to a growing emphasis on vehicle safety, fuel efficiency, and performance enhancement. The integration of sensors and communication technology in tires is transforming the automobile industry, allowing for real-time monitoring and data analysis to improve vehicle management and maintenance.

DOWNLOAD FREE SAMPLE

Market Trends:

The automotive intelligent tire industry is seeing a substantial increase in the integration of modern sensors and artificial intelligence (AI) capabilities. These smart tires include embedded sensors that continuously monitor tire pressure, temperature, tread wear, and driving conditions. The obtained data is subsequently evaluated by AI algorithms, which provide real-time insights and predictive maintenance recommendations.

The growing desire for greater safety features, improved fuel efficiency, and optimised vehicle performance is driving this trend. Automotive manufacturers are working with tire firms to create intelligent tire systems that can connect with vehicle control systems, allowing for proactive modifications and improved overall vehicle management. As autonomous and connected car technologies improve, so will the use of these smart tires, generating new prospects for market growth and innovation in the automotive sector.

Market Segmentation:

The Tire Pressure Monitoring System (TPMS) category has emerged as the dominant technology in the automotive intelligent tires market, owing to regulatory requirements and its vital role in improving vehicle safety and efficiency. TPMS technology continuously monitors tire pressure and informs drivers of potential problems, thereby reducing accidents caused by underinflated or overinflated tires. According to the National Highway Traffic Safety Administration (NHTSA), TPMS-equipped vehicles are 55.6% less likely to have significantly underinflated tires. This considerable safety enhancement has resulted in widespread deployment across multiple vehicle types.

In recent years, developments in TPMS technology have strengthened its market position. For example, in 2021, Continental AG debuted its Intelligent Tire System, which integrates TPMS with additional sensors to monitor temperature, tread depth, and tire load. This technology provides a full view of tire health, allowing for predictive maintenance and improved vehicle performance. Similarly, Bridgestone Corporation debuted its Bridgestone Connect smart tire solution in 2022, which employs advanced algorithms to analyse TPMS data and provide fleet managers with actionable insights, thereby enhancing operating efficiency and lowering maintenance costs. Intelligent TPMS technologies have grown in popularity, particularly in the commercial vehicle category. Fleet operators are rapidly recognising the benefits of real-time tire monitoring for lowering fuel usage and reducing vehicle downtime. According to an American Trucking Associations (ATA) study, appropriate tire inflation can increase fuel efficiency by up to 3%, saving large fleets a significant amount of money. This has resulted in agreements between tire producers and telemetry companies to create integrated fleet management systems. For example, in 2023, Goodyear Tire & Rubber Company cooperated with ZF Group to develop an intelligent tire management system specifically built for commercial vehicles, which fuelled the growth of the TPMS segment in the automotive intelligent tires market.

Market Key Players:

Continental AG

Bridgestone Corporation

Michelin

The Goodyear Tire & Rubber Company

Pirelli & C. S.p.A.

Sumitomo Rubber Industries, Ltd.

Contact Us:

Name: Hari Krishna

Email us: hari.krishna@aurorawaveintellects.com

Website: https://aurorawaveintellects.com/

[automotive-and-aerospace]

In-Cabin Automotive AI Market Report

In-Cabin Automotive AI Market Report: Revolutionizing the Driving Experience with AI-Powered Technology

Market Definition and Latest Trends

The In-Cabin Automotive AI Market refers to the market for artificial intelligence (AI) powered technologies used in automotive cabins to enhance the driving experience, improve safety, and provide convenience. The market includes various AI-powered products and applications, such as driver monitoring systems, occupant monitoring systems, conversation assistance, and smart HVAC systems. The latest trends in the market include the increasing adoption of AI-powered technologies in the automotive industry, the growing demand for autonomous vehicles, and the rising need for advanced safety features.

Request a Free Sample (Free Executive Summary at Full Report Starting from USD 1850): https://straitsresearch.com/report/in-cabin-automotive-ai-market/request-sample

Market Size and Growth

The global In-Cabin Automotive AI Market size was valued at USD 112.39 Million in 2022 and is projected to reach from USD XX Million in 2023 to USD 3215.04 Million by 2031, growing at a CAGR of 45.21% during the forecast period (2023–2031).

Buy Full Report (Exclusive Insights with In-Depth Data Supplement): https://straitsresearch.com/buy-now/in-cabin-automotive-ai-market

Key Opportunity

One of the key opportunities in the In-Cabin Automotive AI Market is the growing demand for autonomous vehicles. Autonomous vehicles require advanced AI-powered technologies to operate safely and efficiently, creating a significant opportunity for companies that provide In-Cabin Automotive AI solutions.

List of Key Players

Some of the key players in the In-Cabin Automotive AI Market include:

Visteon Corporation

Eyeris

Seeing Machines Limited

Ambarella

Eyesight Technologies (Cipia)

Valeo

Robert Bosch GmbH

Faurecia

Hyundai Mobis

Denso Corporation

ZF Friedrichshafen AG

In-Cabin Automotive AI Market Segmentations

The global In-Cabin Automotive AI Market can be segmented into several categories, including:

By Product Type:

Radar

Camera

Voice Assistance

Smart Sensor

By Applications:

Occupant Monitoring System

Driver Monitoring System

Conversation Assistance

Smart HVAC

Market Segmentation with Insights-Driven Strategy Guide: https://straitsresearch.com/report/in-cabin-automotive-ai-market/segmentation

[willyskristina]

Automotive Intelligent Tires Market

Automotive Intelligent Tires Market Size, Share, Trends: Continental AG Leads

Smart Tires with Integrated Sensors and AI Capabilities Gain Traction in the Automotive Sector

Market Overview:

The Automotive Intelligent Tires Market is expected to develop at a XX% CAGR from 2024 to 2031. The market value is estimated to reach USD XX billion in 2024 and USD YY billion in 2031. Asia-Pacific is expected to lead the market throughout the projection period. Key metrics include increased car production, rising demand for sophisticated safety features, and increased use of IoT in automotive applications.

The market for automotive intelligent tires is expanding rapidly, owing to a growing emphasis on vehicle safety, fuel efficiency, and performance enhancement. The integration of sensors and communication technology in tires is transforming the automobile industry, allowing for real-time monitoring and data analysis to improve vehicle management and maintenance.

DOWNLOAD FREE SAMPLE

Market Trends:

The automotive intelligent tire industry is seeing a substantial increase in the integration of modern sensors and artificial intelligence (AI) capabilities. These smart tires include embedded sensors that continuously monitor tire pressure, temperature, tread wear, and driving conditions. The obtained data is subsequently evaluated by AI algorithms, which provide real-time insights and predictive maintenance recommendations.

The growing desire for greater safety features, improved fuel efficiency, and optimised vehicle performance is driving this trend. Automotive manufacturers are working with tire firms to create intelligent tire systems that can connect with vehicle control systems, allowing for proactive modifications and improved overall vehicle management. As autonomous and connected car technologies improve, so will the use of these smart tires, generating new prospects for market growth and innovation in the automotive sector.

Market Segmentation:

The Tire Pressure Monitoring System (TPMS) category has emerged as the dominant technology in the automotive intelligent tires market, owing to regulatory requirements and its vital role in improving vehicle safety and efficiency. TPMS technology continuously monitors tire pressure and informs drivers of potential problems, thereby reducing accidents caused by underinflated or overinflated tires. According to the National Highway Traffic Safety Administration (NHTSA), TPMS-equipped vehicles are 55.6% less likely to have significantly underinflated tires. This considerable safety enhancement has resulted in widespread deployment across multiple vehicle types.

In recent years, developments in TPMS technology have strengthened its market position. For example, in 2021, Continental AG debuted its Intelligent Tire System, which integrates TPMS with additional sensors to monitor temperature, tread depth, and tire load. This technology provides a full view of tire health, allowing for predictive maintenance and improved vehicle performance. Similarly, Bridgestone Corporation debuted its Bridgestone Connect smart tire solution in 2022, which employs advanced algorithms to analyse TPMS data and provide fleet managers with actionable insights, thereby enhancing operating efficiency and lowering maintenance costs. Intelligent TPMS technologies have grown in popularity, particularly in the commercial vehicle category. Fleet operators are rapidly recognising the benefits of real-time tire monitoring for lowering fuel usage and reducing vehicle downtime. According to an American Trucking Associations (ATA) study, appropriate tire inflation can increase fuel efficiency by up to 3%, saving large fleets a significant amount of money. This has resulted in agreements between tire producers and telemetry companies to create integrated fleet management systems. For example, in 2023, Goodyear Tire & Rubber Company cooperated with ZF Group to develop an intelligent tire management system specifically built for commercial vehicles, which fuelled the growth of the TPMS segment in the automotive intelligent tires market.

Market Key Players:

Continental AG

Bridgestone Corporation

Michelin

The Goodyear Tire & Rubber Company

Pirelli & C. S.p.A.

Sumitomo Rubber Industries, Ltd.

Contact Us:

Name: Hari Krishna

Email us: hari.krishna@aurorawaveintellects.com

Website: https://aurorawaveintellects.com/

[rohitpalan]

Advanced (3D/4D) Visualization Systems Market Surges: Revenue Reaches USD 711.1M in 2022, Expected to Hit USD 1,139.9M by 2033

The global Advanced (3D/4D) Visualization Systems Market demonstrated remarkable growth in 2022, with a total revenue of US$ 711.1 million. This sector is poised for a promising future, as it is projected to expand at a CAGR of 4.5% from 2023 to 2033. By the end of the forecast period in 2033, the market is expected to reach a substantial US$ 1,139.9 million.

Key Takeaways:

The Advanced (3D/4D) Visualization Systems Market is on a growth trajectory, projected to reach US$ 1,139.9 million by 2033, driven by factors such as advanced medical imaging adoption and AI integration.

North America leads the market, while Asia-Pacific presents significant growth opportunities.

Challenges include high implementation costs and data security concerns.

Emerging technologies like VR and AR offer promising prospects for market players.

Drivers and Opportunities:

The growth of the Advanced (3D/4D) Visualization Systems Market can be attributed to several key drivers. The increasing adoption of advanced medical imaging techniques and the rising demand for real-time data visualization in healthcare are significant factors fueling this market’s growth. Additionally, the integration of artificial intelligence (AI) and machine learning (ML) in 3D/4D visualization systems is enhancing diagnostic capabilities and driving market expansion.

Moreover, opportunities abound as the market taps into emerging technologies, including virtual reality (VR) and augmented reality (AR), which are revolutionizing industries such as healthcare, aerospace, and automotive. These innovations are opening new avenues for market players to develop cutting-edge visualization solutions.

Competitive Landscape – Regional Trends:

The Advanced (3D/4D) Visualization Systems Market boasts a competitive landscape with several key players vying for dominance. Regional trends reveal varying market dynamics. North America currently leads the market due to its advanced healthcare infrastructure and substantial investments in research and development. Meanwhile, Asia-Pacific is witnessing rapid growth, driven by increasing healthcare expenditure and a burgeoning demand for advanced visualization technologies in countries like China and India.

Restraints:

Despite its growth prospects, the market faces certain challenges. The high cost of implementing advanced visualization systems and concerns related to data security are restraining factors. Additionally, the complexity of integrating these systems into existing healthcare workflows poses a challenge for market adoption.

Region-wise Insights – Category-wise Insights:

North America remains the dominant region in the Advanced (3D/4D) Visualization Systems Market, with the United States leading the way. The region benefits from a robust healthcare infrastructure and significant investments in research and development.

Europe is witnessing steady growth, with countries like Germany and the United Kingdom contributing significantly to the market. The region’s focus on improving healthcare outcomes through advanced visualization technologies is driving market expansion.

Asia-Pacific is emerging as a lucrative market, driven by the increasing healthcare expenditure in countries like China and India. The demand for 3D/4D visualization systems in diagnostics and treatment planning is on the rise.

Advanced (3D/4D) Visualization Systems Outlook by Category

By Platform, Advanced (3D/4D) Visualization Systems Demand is segmented as:

Ultrasound

MRI

CT

PET

By End User, Advanced (3D/4D) Visualization Systems Outlook is segmented as:

Hospitals

Diagnostic Laboratories

Academic and Research

By Application, Advanced (3D/4D) Visualization Systems Sales are segmented as:

Cardiology

Oncology

Neurology

By Region, Advanced (3D/4D) Visualization Systems Sales are segmented as:

North America

Latin America

Europe

South Asia

East Asia

Oceania

The Middle East and Africa (MEA)

[rameshindustryarc]

𝐀 𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐆𝐮𝐢𝐝𝐞 𝐭𝐨 𝐒𝐮𝐩𝐩𝐥𝐲 𝐂𝐡𝐚𝐢𝐧 𝐑𝐢𝐬𝐤 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 (𝐒𝐂𝐑𝐌) 𝐢𝐧 𝐋𝐨𝐠𝐢𝐬𝐭𝐢𝐜𝐬-IndustryARC™

Supply chain risk management (SCRM) is to ensure the continuity of supply chain operations and reduce the likelihood of disruptions such as product recalls, production delays, quality issues, and supply chain disruptions. The emphasis is on keeping goods and services flowing and protecting against supply chain-related losses. SCRM requires the participation of all supply chain stakeholders, including suppliers, manufacturers, distributors, and customers.

Previously, it was assumed that only large businesses needed a well-thought-out, comprehensive SCRM plan. This was due to the high cost of implementing a viable SCRM plan. Identifying what to analyze, handling the complexity of data gathering, and gaining organizational buy-in, all required a significant investment of time, effort, and money.

Nevertheless, as the world & organizations become more integrated, and supply chains & regulations get more complex, SCRM is an operation that should be addressed by every firm. Organizations can now use AI and Machine Learning (ML)-enabled software solutions to help minimize the cost of building and deploying an SCRM plan. The use of technology has become increasingly important in SCRM, with the use of data analytics, artificial intelligence, & cloud-based systems to manage and monitor supply chain risk.

Furthermore, collaboration and partnerships between major players is important for seamless supply of products and raw materials in industry. SCRM has become more collaborative, with companies partnering with their suppliers and other stakeholders to share information and work together to manage risk. For instance, in December 2022, SAP Ariba and PwC developed a new co-innovation strategy to assist organizations in meeting their ESG and net zero targets.

The supply chain risk management is segmented on the basis of component, end-use industry, enterprise size, deployment, and region. By component, it is bifurcated into solution and services. By end use industry, it is classified into retail and consumer goods, healthcare and pharmaceuticals, manufacturing, food and beverages, transportation and logistics, automotive and other. By enterprise size, it is categorized into large enterprise and small & medium enterprise.

𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐚𝐠𝐞𝐬

The global supply chain risk management market size was valued at $2.9 billion in 2021, and is projected to reach $6.9 billion by 2031, growing at a CAGR of 9.2% from 2022 to 2031.

[automotiveanddefense]

Factory Automation and Industrial Controls Market

Factory Automation and Industrial Controls Market: Trends, Opportunities, and Forecast

The global Factory Automation and Industrial Controls Market size was valued at USD 220.81 Billion in 2021 and is projected to reach from USD XX Billion in 2022 to USD 503.86 Billion by 2030, growing at a CAGR of 9.6% during the forecast period (2022–2030). Factory automation and industrial controls refer to the use of automated systems and control devices to monitor, control, and optimize industrial processes.

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Industry Key Trends

Some of the key trends in the factory automation and industrial controls market include:

Increasing adoption of Industry 4.0 technologies: Industry 4.0 technologies, such as artificial intelligence, machine learning, and the Internet of Things (IoT), are being increasingly adopted in the factory automation and industrial controls market.

Growing demand for smart manufacturing: Smart manufacturing involves the use of advanced technologies, such as sensors, actuators, and control systems, to optimize manufacturing processes.

Rising need for energy efficiency: Energy efficiency is becoming increasingly important in the factory automation and industrial controls market, driven by the need to reduce energy costs and minimize environmental impact.

Increasing focus on cybersecurity: Cybersecurity is becoming increasingly important in the factory automation and industrial controls market, driven by the need to protect industrial control systems from cyber threats.

Factory Automation and Industrial Controls Market Size and Share

The global factory automation and industrial controls market size was valued at USD 220.81 Billion in 2021 and is projected to reach USD 503.86 Billion by 2030, growing at a CAGR of 9.6% during the forecast period.

Factory Automation and Industrial Controls Market Statistics

Some of the key statistics in the factory automation and industrial controls market include:

The market is expected to grow at a CAGR of 9.6% during the forecast period.

The field devices segment is expected to account for the largest share of the market.

The automotive segment is expected to account for the largest share of the market.

Regional Trends

The factory automation and industrial controls market can be segmented into four regions: North America, APAC, Europe, and LAMEA.

North America

The North American factory automation and industrial controls market is driven by the presence of a large number of manufacturing facilities in the region. The United States is the largest market in the region, followed by Canada and Mexico.

APAC

The APAC factory automation and industrial controls market is driven by the rapid industrialization and urbanization in the region. China is the largest market in the region, followed by Japan, India, and South Korea.

Europe

The European factory automation and industrial controls market is driven by the presence of a large number of manufacturing facilities in the region. Germany is the largest market in the region, followed by the UK, France, and Italy.

LAMEA

The LAMEA factory automation and industrial controls market is driven by the rapid industrialization and urbanization in the region. Brazil is the largest market in the region, followed by Saudi Arabia, South Africa, and Turkey.

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Factory Automation and Industrial Controls Market Segmentations

The factory automation and industrial controls market can be segmented based on product and end-user industry.

By Product

Field Devices

Industrial Control Systems

By End-User Industry

Automotive

Chemical and Petrochemical

Utility

Pharmaceutical

Food and Beverage

Oil and Gas

Others

Market Segmentation: https://straitsresearch.com/report/factory-automation-and-industrial-controls-market/segmentation

Top Players in Factory Automation and Industrial Controls Market

Schneider Electric SE

Rockwell Automation Inc.

Honeywell International Inc.

Emerson Electric Company

ABB Ltd

Mitsubishi Electric Corporation

Siemens AG

Omron Corporation

Yokogawa Electric Corporation

General Electric Co.

Texas Instruments Inc.

Robert Bosch GmbH.

Detailed Table of Content report: @https://straitsresearch.com/report/factory-automation-and-industrial-controls-market/toc

[skyjohn009]

Encoder Market Report: An Overview of Current Trends and Key Players

Encoder Market Report: An Overview of Current Trends and Key Players

The global encoder market, valued at approximately $2.4 billion in 2021, is anticipated to grow significantly, reaching $4.5 billion by 2030, with a compound annual growth rate (CAGR) of 7.83% during the forecast period from 2022 to 2030. This growth reflects the increasing demand for automation across various industries and the integration of advanced technologies.

The global encoder market is a vital segment of the automation and control systems industry, encompassing devices that convert motion or position into a coded signal. Encoders play a crucial role in various applications, including robotics, industrial automation, automotive systems, and consumer electronics. These devices ensure precise measurements of rotational position, speed, and direction, which are essential for the efficient operation of machinery and equipment.

Market Definition and Latest Trends

Encoders are essential devices that convert motion or position into an electrical signal, which can then be read by a controller or a computer. They play a critical role in various applications, including robotics, industrial automation, and automotive systems. The encoder market is witnessing several notable trends:

Increased Adoption of Industry 4.0: The shift towards smart manufacturing and Industry 4.0 is driving the demand for encoders as industries seek to enhance operational efficiency and precision.

Integration with IoT and AI: The growing integration of encoders with Internet of Things (IoT) devices and artificial intelligence (AI) systems is enabling more sophisticated data analysis and machine learning applications.

Rising Demand in Automotive Sector: The automotive industry is increasingly utilizing encoders for applications such as electric vehicles and advanced driver-assistance systems (ADAS), contributing to market growth.

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Key Opportunities

The encoder market presents significant opportunities for growth due to the following factors:

Technological Advancements: Continuous innovations in encoder technology, such as the development of more reliable and efficient models, are expected to create new market opportunities.

Emerging Markets: Rapid industrialization in regions like Asia-Pacific offers lucrative prospects for encoder manufacturers as demand for automation solutions increases.

Market Segmentation

The encoder market can be segmented based on type, technology, and end-user:

By Type

Rotary Encoder

Linear Encoder

By Technology

Optical

Magnetic

Photoelectric

Others

By End-User

Automotive

Electronics

Textile

Printing Machinery

Industrial

Medical

Others

Key Players in the Encoder Market

Several prominent companies are leading the encoder market, including:

Omron Corporation

Honeywell International

Schneider Electric

Rockwell Automation Inc.

Panasonic Corporation

Baumer Group

Renishaw PLC

Dynapar Corporation (Fortive Corporation)

FAULHABER Drive Systems

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These companies are focusing on strategic partnerships, mergers, and acquisitions to expand their market presence and enhance product offerings.

Why Straits Research?

Straits Research is a trusted market research provider known for its in-depth analysis and strategic insights. With a team of experts, Straits Research offers comprehensive market reports that help businesses and stakeholders make informed decisions.

[automotive-and-aerospace]

Collaborative Robots Market Report

Collaborative Robots Market Report

The global collaborative robot market size was valued at USD 808 million in 2021. It is expected to reach USD 3,142 million by 2030, growing at a CAGR of 18.5% during the forecast period (2022–2030). Collaborative robots, also known as cobots, are designed to work alongside humans in a shared workspace, enhancing productivity, efficiency, and safety.

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Market Categorization

The Collaborative Robots Market can be categorized into three main segments:

By Payload

Less Than 5 kg

5–9 kg

10–20 kg

More Than 20 kg

By End-user

Electronics

Automotive

Manufacturing

Food & Beverage

Chemicals & Pharmaceutical

Others

By Application

Material Handling

Pick & Place

Assembly

Palletizing & De-palletizing

Others

Geographic Overview

The Collaborative Robots Market is dominated by four main regions:

North America: The United States and Canada are the leading countries in this region, driven by the presence of major manufacturers and a strong focus on automation.

Europe: Germany, the United Kingdom, and France are the key countries in this region, with a strong emphasis on industrial automation and robotics.

Asia-Pacific: China, Japan, and South Korea are the dominant countries in this region, driven by rapid industrialization and a growing demand for automation solutions.

Rest of the World: This region includes countries such as Brazil, Russia, and India, which are emerging as key markets for collaborative robots.

Top Players of Collaborative Robots Market

Some of the top players in the Collaborative Robots Market include:

Universal Robots AS (Teradyne Inc.)

Fanuc Corp.

TechMan Robot Inc. (Quanta Computer Inc.)

Rethink Robotics GmbH

AUBO Robotics USA

ABB Ltd

Kawasaki Heavy Industries Ltd

Precise Automation Inc. (Brooks Automation Inc. )

Siasun Robot & Automation Co. Ltd

Stäubli International AG

OMRON Corporation

Epson Robots (Seiko Epson)

Festo Group

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Key Unit Economics for Businesses and Startups

When considering the adoption of collaborative robots, businesses and startups should focus on the following key unit economics:

Cost Savings: Collaborative robots can help reduce labor costs, improve productivity, and minimize waste.

Return on Investment (ROI): Businesses should calculate the ROI on their collaborative robot investment, considering factors such as increased productivity, reduced downtime, and improved product quality.

Payback Period: The payback period for collaborative robots can vary depending on the application, industry, and company size. However, with the increasing demand for automation, the payback period is decreasing.

Total Cost of Ownership (TCO): Businesses should consider the TCO of collaborative robots, including factors such as maintenance, repair, and upgrade costs.

Detailed Table of Content: https://straitsresearch.com/report/collaborative-robots-market/toc

Collaborative Robots Market Operational Factors

The Collaborative Robots Market is driven by several operational factors, including:

Increasing Demand for Automation: The growing need for automation in various industries, such as manufacturing, logistics, and healthcare, is driving the demand for collaborative robots.

Advancements in Robotics Technology: Advances in robotics technology, such as artificial intelligence, machine learning, and sensor systems, are enhancing the capabilities and safety of collaborative robots.

Growing Focus on Workplace Safety: The increasing focus on workplace safety and the need to reduce workplace injuries and fatalities are driving the adoption of collaborative robots.

Government Initiatives and Funding: Government initiatives and funding for robotics research and development are supporting the growth of the Collaborative Robots Market.

[jayanthitbrc]

Global Artificial Intelligence In Automotive Market Analysis 2024: Size Forecast and Growth Prospects

The artificial intelligence in automotive 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.

Artificial Intelligence In Automotive 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 artificial intelligence in automotive market size has grown exponentially in recent years. It will grow from $6.7 billion in 2023 to $10.88 billion in 2024 at a compound annual growth rate (CAGR) of 62.3%. The growth in the historic period can be attributed to rising demand for enhanced user experience and convenience features, increasing awareness around these vehicles, growing adoption of ai in automotive supply chain, growth in demand for autonomous vehicle, increase in the use of manufacturing a car.

The artificial intelligence in automotive market size is expected to see exponential growth in the next few years. It will grow to $64.2 billion in 2028 at a compound annual growth rate (CAGR) of 55.9%. The growth in the forecast period can be attributed to autonomous driving development, increasing demand for connected cars, rising focus on vehicle safety, demand for in-car personalization, growing emphasis on energy efficiency, rapid advancements in computer vision. Major trends in the forecast period include autonomous driving advancements, personalized user experiences, predictive maintenance, enhanced vehicle connectivity, natural language processing (nlp) integration.

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Scope Of Artificial Intelligence In Automotive Market The Business Research Company's reports encompass a wide range of information, including:

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

2. Drivers: Examination of the key factors propelling market growth.

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

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

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

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

Artificial Intelligence In Automotive Market Overview

Market Drivers - The growing need for autonomous vehicles is expected to propel the growth of artificial intelligence in the automotive market going forward. An autonomous vehicle is a vehicle capable of operating itself and performing necessary functions without any human intervention through its ability to sense its surroundings. AI in automotive is being used to develop autonomous driving systems that can sense and interpret the environment, make decisions, and control the vehicle without human intervention. For instance, in December 2022, according to the National Highway Traffic Safety Administration, a US-based government agency, there will be 3.5 million self-driving vehicles on U.S. roads by 2025 and 4.5 million by 2030. Therefore, the growing need for autonomous vehicles is driving the growth of artificial intelligence in the automotive market.

Market Trends - Major companies operating in the artificial intelligence in the automotive market are developing innovative products such as Snapdragon automotive cockpit platforms to better serve their customers. The Snapdragon automotive cockpit platforms are advanced in-car technology platforms designed to enhance the automotive infotainment experience and enable connected and intelligent features in modern vehicles. For instance, in January 2021, Qualcomm, a US-based semiconductor company, launched the 4th Generation Snapdragon Automotive Cockpit Platforms. This new generation promises to redefine the in-car experience, offering a blend of advanced AI capabilities and seamless connectivity. The platforms are designed to revolutionize the digital cockpit, offering enhanced graphics, multimedia, computer vision, and in-car connectivity. They are fully scalable, supporting all three Snapdragon Automotive performance tiers, ranging from Performance, Premiere, and Paramount.

The artificial intelligence in automotive market covered in this report is segmented –

1) By Component: Hardware, Software, Services 2) By Process: Data Mining, Image Or Signal Recognition 3) By Technology: Computer Vision, Context Awareness, Deep Learning, Machine Learning, Natural Language Processing (NLP) 4) By Application: Semi-autonomous vehicles, Fully-autonomous Vehicles

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

Key Companies - Major companies operating in the artificial intelligence in automotive market report are Alphabet Inc., Toyota Motor Corporation , Microsoft Corporation, Ford Motor Company, General Motors Company, Bayerische Motoren Werke AG, Honda Motor Co. Ltd., Tencent Holdings Ltd., Tesla Inc., Intel Corporation, The International Business Machines Corporation (IBM), Audi AG, Volvo Cars, AB Volvo, Qualcomm Technologies Inc., The Mercedes-Benz Group AG, Mitsubishi Electric , Uber Technologies Inc., Micron Technology Inc., NVIDIA Corporation, Harman International Industries Inc., Waymo LLC, Xilinx Inc., Argo AI, Cognata ltd

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

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