• Cat-intel
  • MedIntelliX
  • Resources
  • About Us
  • Request Free Sample ×

    Kindly complete the form below to receive a free sample of this Report

    Leading companies partner with us for data-driven Insights

    clients tt-cursor

    Automotive Artificial Intelligence Market

    ID: MRFR/AM/2905-HCR
    111 Pages
    Swapnil Palwe
    September 2025

    Automotive Artificial Intelligence Market Research Report Information by Technology (Deep Learning, Machine Learning, Context Awareness, Computer Vision, Natural Language Processing), by Process (Signal Recognition, Image Recognition, Data Mining), by Application (Human-Machine Interface, Semi-autonomous Driving, Autonomous Driving) And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) – Market Forecast Till 2030

    Share:
    Download PDF ×

    We do not share your information with anyone. However, we may send you emails based on your report interest from time to time. You may contact us at any time to opt-out.

    Automotive Artificial Intelligence Market Research Future - Global Forecast to 2030 Infographic
    Purchase Options
    $ 4,950.0
    $ 5,950.0
    $ 7,250.0
    Table of Contents

    Automotive Artificial Intelligence Market Summary

    As per Market Research Future Analysis, the Global Automotive Artificial Intelligence Market was valued at USD 1.3 Billion in 2021 and is projected to reach USD 9.6 Billion by 2030, growing at a CAGR of 27.2% from 2024 to 2030. The market is driven by the increasing demand for autonomous vehicles, advanced automotive solutions, and government initiatives. However, challenges such as lack of infrastructure and high operational costs may hinder growth. Key technologies include Deep Learning, Machine Learning, and Computer Vision, with Deep Learning expected to dominate. North America is anticipated to lead the market by 2030, supported by major manufacturers and favorable regulations.

    Key Market Trends & Highlights

    The Automotive Artificial Intelligence Market is witnessing significant trends driven by technological advancements and consumer demand.

    • Market Size in 2021: USD 1.3 Billion; projected to reach USD 9.6 Billion by 2030.
    • CAGR of 27.2% during the forecast period (2024-2030).
    • Growing demand for autonomous vehicles is a key driver.
    • North America expected to dominate the market by 2030.

    Market Size & Forecast

    2021 Market Size USD 1.3 Billion
    2022 Market Size USD 2.6 Billion
    2030 Market Size USD 9.6 Billion
    CAGR 27.2% (2024-2030)

    Major Players

    Key players include Tesla Inc., Volvo Car Corporation, BMW AG, Audi AG, General Motors Company, Ford Motor Company, and Toyota Motor Corporation.

    Automotive Artificial Intelligence Market Trends

      • Growing Demand for Autonomous Vehicles is fueling the growth of the Automotive Artificial Intelligence Market.

    The market for autonomous vehicles has witnessed remarkable growth in recent years. As the adoption of AI in autonomous vehicles progresses from needing driver assistance to having full autonomy, enhanced user experience, and convenience features, driverless cars are becoming a reality. 

    Autonomous vehicles are called self-driven or driverless vehicles that use artificial intelligence (AI) software, light detection & ranging (LiDAR), computer vision, GPS, and RADAR sensing technology and sensors to operate without any human interference. The growing demand and necessity for a safe, efficient, and convenient driving experience; increasing government focus on streamlined traffic infrastructure and regulations, rising demand for a reliable transportation system, and availability of advanced technologies relevant to the automotive industry are driving the demand for autonomous and semi-autonomous vehicles, globally. 

    Furthermore, an increase in demand for connected vehicles using the internet of things (IoT), a reduction in traffic congestion, and increased road safety measures, are contributing to the growth of the autonomous vehicles market. In the U.K. the government has committed an investment of $327.5 Billion (£250 Billion) towards R&D and test sites to accelerate the development of safe technologies for automotive vehicles for the U.K. market.

    Additionally, Autonomous vehicle provide many features, such as adaptive cruise control, automatic emergency braking, automatic parking, lane departure warning systems, and adaptive headlights. With technological enhancements, the number of such features is continuously expanding. Automotive manufacturers are aggressively working towards incorporating advanced technologies in their vehicles for enhancing the user experience.

    The integration of artificial intelligence in the automotive sector is poised to revolutionize vehicle safety, efficiency, and user experience, reflecting a transformative shift in how transportation systems operate.

    U.S. Department of Transportation

    Automotive Artificial Intelligence Market Drivers

    Enhanced Safety Features

    Safety remains a paramount concern in the automotive sector, and the integration of AI technologies is transforming safety features in vehicles. The Global Automotive Artificial Intelligence Market Industry is witnessing a surge in demand for AI-driven safety systems, such as collision avoidance and emergency braking. These systems utilize machine learning algorithms to analyze real-time data from various sensors, significantly reducing accident rates. As a result, the market is anticipated to grow substantially, with projections indicating a rise to 120 USD Billion by 2035. Enhanced safety features not only protect passengers but also foster consumer trust in AI technologies, further driving market growth.

    Market Growth Projections

    The Global Automotive Artificial Intelligence Market Industry is poised for remarkable growth, with projections indicating a market value of 35 USD Billion in 2024 and a substantial increase to 120 USD Billion by 2035. This growth trajectory reflects a compound annual growth rate (CAGR) of 11.85% from 2025 to 2035. The increasing adoption of AI technologies in various automotive applications, including autonomous driving and smart traffic management, is driving this expansion. As manufacturers continue to innovate and enhance vehicle functionalities, the market is likely to experience robust demand, positioning AI as a cornerstone of future automotive developments.

    Rising Demand for Autonomous Vehicles

    The increasing consumer demand for autonomous vehicles is a primary driver of the Global Automotive Artificial Intelligence Market Industry. As technology advances, manufacturers are integrating AI systems to enhance vehicle autonomy, safety, and efficiency. In 2024, the market is projected to reach 35 USD Billion, reflecting a growing interest in self-driving technology. Major automotive companies are investing heavily in AI to develop advanced driver-assistance systems (ADAS) that improve safety and user experience. This trend is expected to accelerate as more consumers embrace the convenience and safety offered by autonomous vehicles, thereby propelling the market further.

    Government Regulations and Initiatives

    Government regulations aimed at improving road safety and reducing emissions are significantly influencing the Global Automotive Artificial Intelligence Market Industry. Many countries are implementing stringent safety standards that necessitate the adoption of AI technologies in vehicles. For instance, regulations promoting the use of advanced driver-assistance systems are becoming more common, compelling manufacturers to innovate. This regulatory landscape is expected to create a favorable environment for AI adoption, thereby contributing to a projected compound annual growth rate (CAGR) of 11.85% from 2025 to 2035. As governments push for smarter and safer transportation solutions, the demand for AI in automotive applications is likely to increase.

    Integration of AI with IoT Technologies

    The convergence of artificial intelligence and Internet of Things (IoT) technologies is reshaping the Global Automotive Artificial Intelligence Market Industry. The integration of AI with IoT enables vehicles to communicate with each other and their surroundings, enhancing functionalities such as traffic management and predictive analytics. This synergy is likely to improve operational efficiency and user experience, driving consumer adoption. As the market evolves, the collaboration between AI and IoT is expected to play a pivotal role in shaping future automotive innovations. The anticipated growth trajectory suggests a robust market presence, with projections indicating a rise to 120 USD Billion by 2035.

    Growing Investment in Research and Development

    Investment in research and development (R&D) within the automotive sector is a critical driver of the Global Automotive Artificial Intelligence Market Industry. Companies are allocating substantial resources to explore innovative AI applications, such as predictive maintenance and personalized driving experiences. This focus on R&D is essential for staying competitive in a rapidly evolving market. As a result, the industry is expected to witness significant growth, with the market projected to reach 120 USD Billion by 2035. The continuous pursuit of technological advancements not only enhances vehicle performance but also attracts consumers seeking cutting-edge features, thereby fueling market expansion.

    Market Segment Insights

    Automotive Artificial Intelligence Technology Insights

    The Automotive AI market segmentation, based on Technology, includes Deep Learning, Machine Learning, Context Awareness, Computer Vision, and Natural Language Processing. Deep learning technology is expected to be the largest and fastest-growing technology. 

    Many companies are investing in the development of self-driving cars in which deep learning technology is used for image processing, speech recognition, and data analysis. For instance, Google is heavily investing in autonomous vehicles through its spin-off Waymo and has an active system integrated into its self-driving vehicle with deep learning technology to detect pedestrians in different situations.

    Automotive Artificial Intelligence Process Insights

    Based on Process, the Automotive AI market segmentation includes Signal Recognition, Image Recognition, and Data Mining. Data is collected from different sensors used in a semi-autonomous or autonomous vehicle, which can be used to train the vehicle to detect or recognize images, obstacles, and various scenarios one might encounter behind the wheel. Due to the huge volumes of data generated and processed in a vehicle, data mining is expected to be the fastest-growing process in the Automotive Artificial Intelligence Market.

    Automotive Artificial Intelligence Application Insights

    Based on Application, the AI in Automotive market segmentation includes Human-Machine Interface, Semi-autonomous Driving, and Autonomous Driving. Human-machine interface and Autonomous Driving. Automotive HMI has evolved drastically in the last few years and implemented disruptive technologies in various products, such as voice recognition systems and gesture recognition systems. This is a growing market where innovative AI technology is being used in upcoming models in premium segments.

    Figure 2: Automotive Artificial Intelligence Market, by Application, 2021 & 2030 (USD Billion)

    Automotive Artificial Intelligence Market, by Application, 2021

    Source: Secondary Research, Primary Research, Market Research Future Database, and Analyst Review

    Regional Insights

    By region, the study provides market insights into North America, Europe, Asia-Pacific, and the Rest of the World North America is predicted to be the dominant sector in the Automotive AI industry by 2030, largely as a result of the existence of significant manufacturers in this area. Furthermore, as compared to other regions, this area has considerably greater access to advanced technology to develop artificial intelligence systems. 

    The increasing expectation of autonomous cars in the United States has made a substantial contribution to the expansion of the industry in this country. Favorable government regulations, combined with the fact that the automotive industry's leading companies, such as General Motors, Ford Motor Company, and Fiat Chrysler Automotive, are taking a stand in the advancement of artificial intelligence in automobiles by continuously enhancing their products, will have a better prospect in the market.

    Figure 3: Automotive Artificial Intelligence Market Share By Region 2021 (%)

    Automotive Artificial Intelligence Market Share By Region

    Source: Secondary Research, Primary Research, Market Research Future Database, and Analyst Review

    Key Players and Competitive Insights

    Major market players are spending a lot of money on R&D to increase their product lines, which will help the Automotive Artificial Intelligence market grow even more. Market participants are also taking a range of strategic initiatives to grow their worldwide footprint, with key market developments such as new product launches, contractual agreements, mergers and acquisitions, increased investments, and collaboration with other organizations. 

    Competitors in the Automotive Artificial Intelligence industry must offer cost-effective items to expand and survive in an increasingly competitive and rising market environment. The major market players are investing a lot of money in R&D to expand their product lines, which will spur further market growth for Automotive Artificial Intelligence. 

    With significant market developments like new product releases, contractual agreements, mergers and acquisitions, increased investments, and collaboration with other organizations, market participants are also undertaking various strategic activities to expand their presence. To grow and thrive in a market climate that is becoming more competitive, competitors in the automotive artificial intelligence industry must offer affordable products.

    Manufacturing locally to cut operating costs is one of the main business tactics manufacturers use in the Automotive Artificial Intelligence industry to benefit customers and expand the market. The Automotive Artificial Intelligence market has recently given medicine some of the most important advantages. Major hair care product market players, including Tesla Inc. (US), Volvo Car Corporation (Sweden), BMW AG (Germany), Audi AG (Germany), and others, are attempting to increase market demand by funding R&D initiatives.

    Tesla aims to create AI-integrated chips that will enable cars to navigate through freeways and even traffic. Approximately 6 billion transistors constitute the circuit of each Tesla chip. These Tesla chips are 21 times faster than the original Nvidia chips and 20% cheaper too. 

    They have 32 megabytes of high-speed SRAM memory on the chip which fetches data faster and easier compared to DRAM. Also, Audi is one of the first car manufacturers to use artificial intelligence (AI) in production. AI experts Rüdiger Eck and Stefan Keckl report how Audi uses the technology and why people will remain indispensable, even in the factory of the future.

    Key Companies in the Automotive Artificial Intelligence Market market include

    Industry Developments

    January 2024

    Volkswagen, a German carmaker, has launched its own AI lab, indicating the industry's increasing interest in adopting this technology. In a news statement, Volkswagen said that its new AI lab would function as a "globally networked competence center and incubator" to generate proofs of concept in the area of automotive technology. AI laboratories are centers of research and development dedicated to the advancement of artificial intelligence. Examples of such laboratories include Microsoft's billion-dollar investment in OpenAI and Google's acquisition of DeepMind in 2014.

    Volkswagen said that it will incorporate its lab's AI technologies into its own automobiles to make them smarter. "We aim to provide our consumers with actual additional value using artificial intelligence. We want to connect external digital ecosystems to the automobile, resulting in an even better product experience," says Oliver Blume, CEO of Volkswagen Group and Porsche AG. "Collaboration with technological businesses is critical for us.

    In the future, we want to simplify organizational and cultural collaboration." Volkswagen has no plans to manufacture any production models of its own, but the corporation expects to negotiate with partners about licensing its proprietary AI technology for use in other cars. 

    Volkswagen did not mention any possible partners. The company said that some of the AI solutions researched by the lab would deal with improving electric vehicle charging, predictive maintenance for automobiles, and connecting vehicles to customers' homes via internet-connected gadgets. The business also said that it will investigate AI applications to allow in-car speech recognition. The news comes as other automakers invest extensively in artificial intelligence to improve their technological credentials and make their vehicles smarter. 

    Late this year, French automaker DS Automobiles started implementing ChatGPT into their cars. Mercedes-Benz and Microsoft began testing in-car ChatGPT capability as early as June 2023. Meanwhile, Chinese electric vehicle manufacturer BYD has introduced an AI-powered smart car system to better compete with competitors in sophisticated technologies such as autonomous parking.

    In June 2024, MORAI Inc., a provider of autonomous vehicle simulation platforms, and Automotive Artificial Intelligence (AAI) GmbH, a developer of software for driverless vehicles, formed a partnership to advance autonomous driving technology. Companies may save time and improve the quality of autonomous vehicle systems by integrating MORAI Inc.'s cutting-edge simulation platforms with Automotive Artificial Intelligence (AAI) GmbH's specialist tools.

    Future Outlook

    Automotive Artificial Intelligence Market Future Outlook

    The Automotive Artificial Intelligence Market is projected to grow at 11.85% CAGR from 2024 to 2035, driven by advancements in autonomous driving, enhanced safety features, and increased demand for smart vehicle technologies.

    New opportunities lie in:

    • Develop AI-driven predictive maintenance solutions to reduce vehicle downtime.
    • Invest in machine learning algorithms for personalized in-car experiences.
    • Create partnerships with tech firms to enhance AI capabilities in vehicle systems.

    By 2035, the market is expected to be robust, reflecting substantial advancements and widespread adoption of AI technologies.

    Market Segmentation

    Automotive Artificial Intelligence Process Outlook

    • Signal Recognition
    • Image Recognition
    • Data Mining

    Automotive Artificial Intelligence Regional Outlook

    • US
    • Canada
    • Germany
    • France
    • UK
    • Italy
    • Spain
    • Rest of Europe
    • China
    • Japan
    • India
    • Australia
    • South Korea
    • Rest of Asia-Pacific
    • Middle East
    • Africa
    • Latin America

    Automotive Artificial Intelligence Technology Outlook

    • Deep Learning
    • Machine Learning
    • Context Awareness
    • Computer Vision
    • Natural Language Processing

    Automotive Artificial Intelligence Application Outlook

    • Human-Machine Interface
    • Semi-autonomous Driving
    • Autonomous Driving

    Report Scope

    Attribute/Metric Details
    Market Size 2021 USD 1.3 Billion
    Market Size 2022 USD 2.6 Billion
    Market Size 2030 USD  9.6 Billion
    Compound Annual Growth Rate (CAGR) 27.2% (2024-2030)
    Base Year 2023
    Market Forecast Period 2024-2030
    Historical Data 2018 & 2022
    Market Forecast Units Value (USD Billion)
    Report Coverage Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends
    Segments Covered By Technology, By Process, By Application, By Vehicle Type, and by Region
    Geographies Covered North America, Europe, Asia Pacific, and the Rest of the World
    Countries Covered The U.S, Canada, Germany, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil
    Key Companies Profiled Qualcomm Inc. (US), Tesla Inc. (US), Volvo Car Corporation (Sweden), BMW AG (Germany), Audi AG (Germany), General Motors Company (US), Ford Motor Company (US), Toyota Motor Corporation (Japan), Hyundai Motor Corporation (South Korea), Uber Technologies Inc. (US)
    Key Market Opportunities Cloud-hosted intelligenceDriver assist features Internet of thing
    Key Market Dynamics Advanced driver assistance systems Blind spot alert

    Market Highlights

    Author
    Swapnil Palwe
    Team Lead - Research

    With a technical background as Bachelor's in Mechanical Engineering, with MBA in Operations Management , Swapnil has 6+ years of experience in market research, consulting and analytics with the tasks of data mining, analysis, and project execution. He is the POC for our clients, for their consulting projects running under the Automotive/A&D domain. Swapnil has worked on major projects in verticals such as Aerospace & Defense, Automotive and many other domain projects. He has worked on projects for fortune 500 companies' syndicate and consulting projects along with several government projects.

    Leave a Comment

    FAQs

    How much is the Automotive Artificial Intelligence market?

    The Automotive Artificial Intelligence market size was valued at USD 1.3 Billion in 2021.

    What is the growth rate of the Automotive Artificial Intelligence market?

    The market is projected to grow at a CAGR of 27.2% during the forecast period, 2024-2030.

    Which region held the largest market share in the Automotive Artificial Intelligence market?

    North America had the largest share of the Automotive Artificial Intelligence market.

    Who are the key players in the Automotive Artificial Intelligence market?

    The key players in the market are Qualcomm Inc. (US), Tesla Inc. (US), Volvo Car Corporation (Sweden), BMW AG (Germany), Audi AG (Germany), General Motors Company (US), Ford Motor Company (US), Toyota Motor Corporation (Japan), Hyundai Motor Corporation (South Korea), Uber Technologies Inc. (US)

    Which Technology led the Automotive Artificial Intelligence market?

    The Deep Learning category dominated the market in 2021.

    Which Process had the largest market share in the market?

    The Data Mining base had the largest share in the market for Automotive Artificial Intelligence.

    1. 'Table
    2. of Contents
    3. Introduction
      1. Definition
      2. Scope of Study
    4. Research Objective
      1. Assumptions & Limitations
      2. Market Structure:
    5. Research Methodology
      1. Research Process
      2. Primary Research
    6. Secondary Research
    7. Market Dynamics
      1. Drivers
      2. Restraints
      3. Opportunities
    8. Challenges
      1. Macroeconomic Indicators
    9. Market Factor Analysis
      1. Porter’s
    10. five forces model
      1. Bargaining Power of suppliers
        1. Bargaining Power of Customer
    11. Intensity of Competitor’s
      1. Threat of New Entrants
    12. Automotive Artificial Intelligence
    13. Market, By Process
      1. Introduction
        1. Signal Recognition
        2. Image
    14. Recognition
      1. Data Mining
    15. Automotive Artificial Intelligence Market, By Region
    16. Introduction
      1. North America
        1. US
        2. Europe
    17. UK
    18. Italy
      1. Spain
        1. Rest of Europe
        2. Asia Pacific
    19. Japan
      1. China
        1. India
    20. Rest of Asia Pacific
      1. Middle East & Africa
    21. Company Landscape
    22. Introduction
      1. Mergers Acquisitions
        1. Collaborations
        2. Release/New
    23. Product Launches
      1. Other (Expansion, Updates, Partnership)
    24. Company Profile
      1. Qualcomm Inc
        1. Company Overview
        2. Product/Business
    25. Segment Overview
      1. Financials
        1. Key Developments
      2. Volvo
    26. Car Corporation
      1. Overview
        1. Product/Business Segment Overview
    27. Financials
      1. Key Developments
      2. BMW AG
        1. Overview
        2. Product/Business
    28. Segment Overview
      1. Financials
        1. Key Developments
      2. Thales
    29. Overview
      1. Product/Business Segment Overview
        1. Financials
        2. Key
    30. Developments
      1. Ford Motor Company
        1. Overview
        2. Product/Business Segment
    31. Overview
      1. Financials
        1. Key Developments
      2. Toyota Motor Corporation
    32. Overview
      1. Product/Business Segment Overview
        1. Financials
        2. Key
    33. Developments
      1. Hyundai Motor Corporation
        1. Overview
        2. Product/Business Segment
    34. Overview
      1. Financials
        1. Key Developments
    35. Appendix
    36. List
    37. of Tables
    38. 2030, ($ MILLION) 19
    39. MARKET FOR MINING, BY REGION 2022-2030, (MILLION) 19
    40. INTELLIGENCE MARKET FOR MARINE, BY REGION 2022-2030, (MILLION) 20
    41. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR WATERTREATMENT, BY REGION 2022-2030,
    42. (MILLION) 20
    43. BY REGION 2022-2030, (MILLION) 20
    44. MARKET FOR CHEMICAL, BY REGION 2022-2030, (MILLION) 21
    45. INTELLIGENCE MARKET FOR FOOD & BEVERAGES, BY REGION 2022-2030, (MILLION) 21
    46. EUROPE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET FOR OIL & GAS, BY REGION
    47. 2030, (MILLION) 21
    48. MARKET, BY TYPE 2022-2030, (MILLION) 22
    49. INTELLIGENCE MARKET, BY TYPE 2022-2030, (MILLION) 22
    50. ARTIFICIAL INTELLIGENCE MARKET, BY TYPE 2022-2030, (MILLION) 23
    51. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2022-2030, (MILLION) 23
    52. EUROPE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET 2022-2030, ($MILLION) 24
    53. EUROPE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY 2022-2030, ($MILLION)
    54. GERMANY AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030, ($MILLION)
    55. GERMANY AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TYPE 2022-2030, ($MILLION)
    56. FRANCE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030, ($MILLION)
    57. FRANCE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TYPE 2022-2030, ($MILLION)
    58. ITALY AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030, ($MILLION)
    59. ITALY AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TYPE 2022-2030, ($MILLION)
    60. SPAIN AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030, ($MILLION)
    61. SPAIN AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TYPE 2022-2030, ($MILLION)
    62. U.K. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030, ($MILLION)
    63. U.K. AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TYPE 2022-2030, ($MILLION)
    64. SCANDINAVIA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030, ($MILLION)
    65. SCANDINAVIA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TYPE 2022-2030, ($MILLION)
    66. BENELUX AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030, ($MILLION)
    67. BENELUX AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TYPE 2022-2030, ($MILLION)
    68. REST OF EUROPE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030,
    69. ($MILLION) 32
    70. BY TYPE 2022-2030, ($MILLION) 32
    71. MARKET, BY COUNTRY 2022-2030, ($MILLION) 33
    72. ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030, ($MILLION) 34
    73. ARABIA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TYPE 2022-2030, ($MILLION)
    74. UAE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030, ($MILLION)
    75. UAE AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY TYPE 2022-2030, ($MILLION)
    76. KUWAIT AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030, ($MILLION)
    77. KUWAIT AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY VALVE 2022-2030, ($MILLION)
    78. QATAR AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030, ($MILLION)
    79. QATAR AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY VALVE 2022-2030, ($MILLION)
    80. REST OF MIDDLE EAST AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030,
    81. ($MILLION) 38
    82. BY VALVE 2022-2030, ($MILLION) 38
    83. MARKET, BY COUNTRY 2022-2030, ($MILLION) 39
    84. ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030, ($MILLION) 40
    85. AFRICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY VALVE 2022-2030, ($MILLION)
    86. NIGERIA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030, ($MILLION)
    87. NIGERIA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY VALVE 2022-2030, ($MILLION)
    88. ALGERIA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030, ($MILLION)
    89. ALGERIA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY VALVE 2022-2030, ($MILLION)
    90. REST OF AFRICA AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET, BY SECTOR 2022-2030,
    91. ($MILLION) 43
    92. BY VALVE 2022-2030, ($MILLION) 43
    93. pumps 16

    Automotive Artificial Intelligence Market Segmentation

    Automotive Artificial Intelligence Type Outlook (USD Billion, 2018-2030)

    • Deep Learning
    • Machine Learning
    • Context Awareness
    • Computer Vision
    • Natural Language Processing

    Automotive Artificial Intelligence Process Outlook (USD Billion, 2018-2030)

    • Signal Recognition
    • Image Recognition
    • Data Mining

    Automotive Artificial Intelligence Application Outlook (USD Billion, 2018-2030)

    • Human-Machine Interface
    • Semi-autonomous Driving
    • Autonomous Driving

    Automotive Artificial Intelligence Regional Outlook (USD Billion, 2018-2030)

    • North America Outlook (USD Billion, 2018-2030)

      • North America Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • North America Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • North America Automotive Artificial Intelligence by Surgery
        • Minimally Invasive Spine Surgery
        • Open Spine Surgery
      • North America Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
      • US Outlook (USD Billion, 2018-2030)

      • US Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • US Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • US Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
      • CANADA Outlook (USD Billion, 2018-2030)

      • CANADA Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • CANADA Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • CANADA Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
    • Europe Outlook (USD Billion, 2018-2030)

      • Europe Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • Europe Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • Europe Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
      • Germany Outlook (USD Billion, 2018-2030)

      • Germany Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • Germany Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • Germany Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
      • France Outlook (USD Billion, 2018-2030)

      • France Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • France Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • France Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
      • UK Outlook (USD Billion, 2018-2030)

      • UK Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • UK Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • UK Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving

    ITALY Outlook (USD Billion, 2018-2030)

      • ITALY Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • ITALY Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • ITALY Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
      • SPAIN Outlook (USD Billion, 2018-2030)

      • Spain Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • Spain Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • Spain Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
      • Rest Of Europe Outlook (USD Billion, 2018-2030)

      • Rest Of Europe Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • REST OF EUROPE Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • REST OF EUROPE Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
    • Asia-Pacific Outlook (USD Billion, 2018-2030)

      • Asia-Pacific Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • Asia-Pacific Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • Asia-Pacific Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
      • China Outlook (USD Billion, 2018-2030)

      • China Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • China Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • China Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
      • Japan Outlook (USD Billion, 2018-2030)

      • Japan Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • Japan Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • Japan Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
      • India Outlook (USD Billion, 2018-2030)

      • India Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • India Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • India Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
      • Australia Outlook (USD Billion, 2018-2030)

      • Australia Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • Australia Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • Australia Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
      • Rest of Asia-Pacific Outlook (USD Billion, 2018-2030)

      • Rest of Asia-Pacific Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • Rest of Asia-Pacific Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • Rest of Asia-Pacific Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
    • Rest of the World Outlook (USD Billion, 2018-2030)

      • Rest of the World Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • Rest of the World Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • Rest of the World Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
      • Middle East Outlook (USD Billion, 2018-2030)

      • Middle East Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • Middle East Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • Middle East Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
      • Africa Outlook (USD Billion, 2018-2030)

      • Africa Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • Africa Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • Africa Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
      • Latin America Outlook (USD Billion, 2018-2030)

      • Latin America Automotive Artificial Intelligence by Technology
        • Deep Learning
        • Machine Learning
        • Context Awareness
        • Computer Vision
        • Natural Language Processing
      • Latin America Automotive Artificial Intelligence by Process
        • Signal Recognition
        • Image Recognition
        • Data Mining
      • Latin America Automotive Artificial Intelligence by Application
        • Human-Machine Interface
        • Semi-autonomous Driving
        • Autonomous Driving
    Automotive Artificial Intelligence Market Research Future - Global Forecast to 2030 Infographic
    Free Sample Request

    Kindly complete the form below to receive a free sample of this Report

    Customer Strories

    “I am very pleased with how market segments have been defined in a relevant way for my purposes (such as "Portable Freezers & refrigerators" and "last-mile"). In general the report is well structured. Thanks very much for your efforts.”

    Victoria Milne Founder
    Case Study

    Chemicals and Materials