Dublin, April 22, 2024 (GLOBE NEWSWIRE) -- The "Automobile AI and Generative Design Market Report 2024-2034" report has been added to ResearchAndMarkets.com's offering.
Overall revenue for Automobile AI and Generative Design Market, 2024 to 2034 in terms of value the market surpassed US$600 million in 2023
Regulatory compliance and emission standards play a significant role in shaping the automotive industry's adoption of artificial intelligence (AI). Governments around the world are imposing stricter regulations on vehicle emissions to combat climate change and air pollution. AI can help automakers design more fuel-efficient vehicles and optimize engine performance to meet these standards. AI-powered systems can analyze vast amounts of data from sensors, vehicle telemetry, and environmental conditions to optimize fuel combustion, reduce emissions, and improve overall vehicle efficiency.
Safety regulations are another area where AI can make a significant impact. Advanced Driver Assistance Systems (ADAS) and autonomous driving technologies rely heavily on AI algorithms to enhance vehicle safety. Compliance with safety regulations often requires automakers to implement features such as automatic emergency braking, lane-keeping assistance, adaptive cruise control, and pedestrian detection, all of which leverage AI for operation.
Data Security and Privacy is Major Challenges for Artificial Intelligence in Automotive Industry
Data security and privacy are significant challenges facing the integration of artificial intelligence (AI) into the automotive industry. AI systems in vehicles often rely on vast amounts of data collected from various sensors, cameras, and other sources. This data can include sensitive information about drivers, passengers, and their surroundings. Safeguarding this data from unauthorized access or misuse is crucial.
As vehicles become increasingly connected through the Internet of Things (IoT), they become susceptible to cyber-attacks. Hackers may attempt to breach AI systems to gain control of the vehicle, steal personal data, or disrupt its operations, posing significant safety and privacy risks. AI-powered systems may gather detailed information about individuals' driving behaviors, locations, and preferences. Ensuring the privacy of this data is essential to protect consumers' rights and comply with regulations such as the General Data Protection Regulation (GDPR) in Europe and similar laws elsewhere.
Key Questions Answered
- How is the automobile AI and generative design market evolving?
- What is driving and restraining the automobile AI and generative design market?
- How will each automobile AI and generative design submarket segment grow over the forecast period and how much revenue will these submarkets account for in 2034?
- How will the market shares for each automobile AI and generative design submarket develops from 2023 to 2034?
- What will be the main driver for the overall market from 2024 to 2034?
- Will leading automobile AI and generative design markets broadly follow the macroeconomic dynamics, or will individual national markets outperform others?
- How will the market shares of the national markets change by 2034 and which geographical region will lead the market in 2034?
- Who are the leading players and what are their prospects over the forecast period?
- What are the automobile AI and generative design projects for these leading companies?
- How will the industry evolve during the period between 2024 and 2034? What are the implications of automobile AI and generative design projects taking place now and over the next 10 years?
- Is there a greater need for product commercialisation to further scale the automobile AI and generative design market?
- Where is the automobile AI and generative design market heading and how can you ensure you are at the forefront of the market?
Market Dynamics
Market Driving Factors
- Growing Demand for Connected Cars to Fuel Generative AI in Automotive
- Generative AI in Driving Efficiency and Optimization in the Automotive Industry
- Regulatory Compliance and Emission Standards to Drive Artificial Intelligence in Automotive Industry
Market Restraining Factors
- Data Security and Privacy is Major Challenges for Artificial Intelligence in Automotive Industry
- Safety and Regulatory Compliance Challenges
Market Opportunities
- Growing Electric Vehicle Industry to Offer New Avenues
- Increasing Uses of Generative AI in Autonomous Driving and ADAS
- Rising Investment for Generative AI in Automotive Industry
COVID-19 Impact Analysis
Porter's Five Forces Analysis
Leading companies profiled in the report
- AUDI AG
- BMW AG
- Ford Motor Company
- Honda Motors
- Intel Corporation
- LeewayHertz
- Markovate Inc.
- Microsoft
- NVIDIA Corporation
- Tencent
- Tesla Inc
- Uber Technologies
- Volvo Car Corporation
- Waymo
Segments Covered in the Report
Vehicle Type Outlook
- Passenger Vehicles
- Commercial Vehicles
Component Outlook
- Hardware
- Software
- Services
Application Outlook
- Vehicle Design
- Manufacturing Optimisation
- Connected Cars
- Autonomous Driving
- ADAS
- Other Industries
North America
- U.S.
- Canada
Europe
- Russia
- Germany
- Spain
- Italy
- France
Asia Pacific
- China
- India
- Japan
- South Korea
- Indonesia
Latin America
- Brazil
- Mexico
Middle East & Africa
- GCC
- South Africa
Companies Featured
- AUDI AG
- BMW AG
- Ford Motor Company
- Honda Motors
- Intel Corporation
- LeewayHertz
- Markovate Inc.
- Microsoft
- NVIDIA Corporation
- Tencent
- Tesla Inc
- Uber Technologies
- Volvo Car Corporation
- Waymo
- Accenture
- Advanced Micro Devices Inc. (AMD)
- aiMotive
- ALD Automotive
- Amazon
- Amazon Web Services
- Ammagamma
- Arm
- ASAP Group
- Ascendion
- Audi
- Blue Titan Ventures
- BMW
- Bosch
- BYD
- Celesta Capital
- Chengdu Wufa Private Equity Fund Management
- Cisco
- CloudMade
- Continental
- Covisian
- Cyngn
- Daimler
- Dasein Capital
- Deloitte Africa
- DNS Capital
- EDS Automotive GmbH
- Ericsson
- Esosphera
- Faraday Future
- Ford
- GAC Group
- Gatik
- GemVaxLink
- GM
- Google Cloud Technologies
- Great Wall Motor
- GreatPoint Ventures
- Haomo.AI
- HARMAN
- HCLTech
- IBM
- Iliad Technology Group
- Impel
- Inovia Capital
- Inverted AI
- KPMG
- L&T Technology Services
- LeddarTech
- Li Auto
- Li Auto
- Loblaw
- Lucid Motors
- Mayfield
- MCAS Group
- Meta
- Microsoft
- Mipsology
- Mitsui Fudosan Group
- Naver Corp.
- NTT DATA
- Nvidia
- Oracle
- Pledge Ventures
- Pony.ai
- Porsche
- Qualcomm
- Recogni
- Renault Group
- Renesas Electronics Corporation
- Rockwell Automation
- Siemens
- Silicon Mobility
- SK Telecom Co.
- Socar Inc.
- SoftBank Corp.
- Solera
- STELLA Automotive AI
- Stellantis
- SW Mobility Fund
- Tasaru Mobility Investments
- Tesla
- TomTom
- TOYOTA MOTOR CORPORATION
- Unilever
- Vodafone
- Volkswagen
- Volta Indonesia
- Waymo
- Wizeline
- WUTIF
- Xiaomi
- XPeng
- Yaletown Partners
- Yandex
- Zapata Computing
- ZEEKR
- Zeekr
For more information about this report visit https://www.researchandmarkets.com/r/yriwu6
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