Global Automotive Artificial Intelligence Market research

Automotive Artificial Intelligence Comprehensive Study by Type (Hardware, Software), Application (Human–Machine Interface, Semi-autonomous Driving, Autonomous Driving), Technology (Deep Learning, Machine Learning, Context Awareness, Computer Vision, Natural Language Processing), Process (Signal Recognition, Image Recognition, Data Mining) Players and Region - Global Market Outlook to 2028

Automotive Artificial Intelligence Market by XX Submarkets | Forecast Years 2023-2028 | CAGR: 37.86%  

Access Sample Report Make An Enquiry Before Purchase
  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Automotive Artificial Intelligence
Automotive Artificial intelligence refers to a system built in vehicles which have the capability to mimic the cognitive functions of the human mind, have the ability to learn and solve problems independently and are rapidly being deployed across a variety of industries and use cases. It controls the in-vehicle system and eventually prevents the accident. AI in automotive for smart mobility where AI will be the driver, and passengers may not care about traffic congestion possibilities as the vehicle will have the ability to choose the best route, emergency control, fuel status and other important aspects.

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)
CAGR37.86%


Recently, Nuance communication has announced a new AI research center which will focus on smart and autonomous car technologies. Analyst at AMA Research estimates that United States Vendors will contribute the maximum growth to Global Automotive Artificial Intelligence market throughout the forecasted period. Established and emerging Vendors should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Alphabet Inc. (United States), Microsoft Corporation (United States), IBM Corporation (United States), Intel Corporation (United States), Harman International Industries Inc. (United States), Xilinx Inc. (United States), Qualcomm Inc. (United States), Tesla Inc. (United States), General Motors Company (United States), Ford Motor Company (United States), Uber Technologies Inc. (United States), BMW AG (Germany), Audi AG (Germany), Daimler AG (Germany), Toyota Motor Corporation (Japan), Honda Motor Co. Ltd. (Japan), Hyundai Motor Corporation (South Korea) and Volvo Car Corporation (Sweden) are some of the key players that are part of study coverage. Additionally, the Vendors which are also part of the research coverage are AImotive (Hungary), Nauto (United States), nuTonomy (United States), Argo AI (United States), drive.ai (United States) and Didi Chuxing (China).

Segmentation Overview
AMA Research has segmented the market of Global Automotive Artificial Intelligence market by Type (Hardware and Software), Application (Human–Machine Interface, Semi-autonomous Driving and Autonomous Driving) and Region.



On the basis of geography, the market of Automotive Artificial Intelligence has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Technology, the sub-segment i.e. Deep Learning will boost the Automotive Artificial Intelligence market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Process, the sub-segment i.e. Signal Recognition will boost the Automotive Artificial Intelligence market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Rising Demand for Autonomous Vehicles Performing All Driving Functions and Advancement in Technology and Adoption of IOT

Market Growth Drivers:
Growing Demand for Enhanced User Experience and Convenience Features, Government Regulation for Vehicle Safety in Emerging Economies and Rising Adoption of ADAS Technology by OEM

Challenges:
Maintaining Balance between Cost and Quality

Restraints:
Operator do not have Full Control over the Tournament and Leagues and Increasing Security and Privacy Concerns

Opportunities:
Increasing Demand for Premium Segment Vehicles and Boosting Fuel Efficiency

Market Leaders and their expansionary development strategies
In October 2018, Honda has joined hands with General Motors tech startup Cruise to develop autonomous vehicles as the race to market self-driving cars heats up, the companies and In September 2018, Mercedes-Benz has partnered with SoundHound to integrate its Houndify voice-enabled artificial intelligence into the car’s latest infotainment system.



Key Target Audience
Semiconductor companies, Technology providers, Universities and research organizations, System integrators, AI solution providers, AI platform providers, Cloud service providers, Technology providers, AI system providers, Universities and research organizations, Investors and venture capitalists, Governments and Financial Institution and Research Organization and consulting companies

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • Hardware
  • Software
By Application
  • Human–Machine Interface
  • Semi-autonomous Driving
  • Autonomous Driving
By Technology
  • Deep Learning
  • Machine Learning
  • Context Awareness
  • Computer Vision
  • Natural Language Processing

By Process
  • Signal Recognition
  • Image Recognition
  • Data Mining

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Growing Demand for Enhanced User Experience and Convenience Features
      • 3.2.2. Government Regulation for Vehicle Safety in Emerging Economies
      • 3.2.3. Rising Adoption of ADAS Technology by OEM
    • 3.3. Market Challenges
      • 3.3.1. Maintaining Balance between Cost and Quality
    • 3.4. Market Trends
      • 3.4.1. Rising Demand for Autonomous Vehicles Performing All Driving Functions
      • 3.4.2. Advancement in Technology and Adoption of IOT
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Automotive Artificial Intelligence, by Type, Application, Technology, Process and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Automotive Artificial Intelligence (Value)
      • 5.2.1. Global Automotive Artificial Intelligence by: Type (Value)
        • 5.2.1.1. Hardware
        • 5.2.1.2. Software
      • 5.2.2. Global Automotive Artificial Intelligence by: Application (Value)
        • 5.2.2.1. Human–Machine Interface
        • 5.2.2.2. Semi-autonomous Driving
        • 5.2.2.3. Autonomous Driving
      • 5.2.3. Global Automotive Artificial Intelligence by: Technology (Value)
        • 5.2.3.1. Deep Learning
        • 5.2.3.2. Machine Learning
        • 5.2.3.3. Context Awareness
        • 5.2.3.4. Computer Vision
        • 5.2.3.5. Natural Language Processing
      • 5.2.4. Global Automotive Artificial Intelligence by: Process (Value)
        • 5.2.4.1. Signal Recognition
        • 5.2.4.2. Image Recognition
        • 5.2.4.3. Data Mining
      • 5.2.5. Global Automotive Artificial Intelligence Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Automotive Artificial Intelligence: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Alphabet Inc. (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Microsoft Corporation (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. IBM Corporation (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Intel Corporation (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Harman International Industries Inc. (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Xilinx Inc. (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Qualcomm Inc. (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Tesla Inc. (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. General Motors Company (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Ford Motor Company (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Uber Technologies Inc. (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. BMW AG (Germany)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Audi AG (Germany)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. Daimler AG (Germany)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. Toyota Motor Corporation (Japan)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
      • 6.4.16. Honda Motor Co. Ltd. (Japan)
        • 6.4.16.1. Business Overview
        • 6.4.16.2. Products/Services Offerings
        • 6.4.16.3. Financial Analysis
        • 6.4.16.4. SWOT Analysis
      • 6.4.17. Hyundai Motor Corporation (South Korea)
        • 6.4.17.1. Business Overview
        • 6.4.17.2. Products/Services Offerings
        • 6.4.17.3. Financial Analysis
        • 6.4.17.4. SWOT Analysis
      • 6.4.18. Volvo Car Corporation (Sweden)
        • 6.4.18.1. Business Overview
        • 6.4.18.2. Products/Services Offerings
        • 6.4.18.3. Financial Analysis
        • 6.4.18.4. SWOT Analysis
  • 7. Global Automotive Artificial Intelligence Sale, by Type, Application, Technology, Process and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Automotive Artificial Intelligence (Value)
      • 7.2.1. Global Automotive Artificial Intelligence by: Type (Value)
        • 7.2.1.1. Hardware
        • 7.2.1.2. Software
      • 7.2.2. Global Automotive Artificial Intelligence by: Application (Value)
        • 7.2.2.1. Human–Machine Interface
        • 7.2.2.2. Semi-autonomous Driving
        • 7.2.2.3. Autonomous Driving
      • 7.2.3. Global Automotive Artificial Intelligence by: Technology (Value)
        • 7.2.3.1. Deep Learning
        • 7.2.3.2. Machine Learning
        • 7.2.3.3. Context Awareness
        • 7.2.3.4. Computer Vision
        • 7.2.3.5. Natural Language Processing
      • 7.2.4. Global Automotive Artificial Intelligence by: Process (Value)
        • 7.2.4.1. Signal Recognition
        • 7.2.4.2. Image Recognition
        • 7.2.4.3. Data Mining
      • 7.2.5. Global Automotive Artificial Intelligence Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Automotive Artificial Intelligence: by Type(USD Million)
  • Table 2. Automotive Artificial Intelligence Hardware , by Region USD Million (2017-2022)
  • Table 3. Automotive Artificial Intelligence Software , by Region USD Million (2017-2022)
  • Table 4. Automotive Artificial Intelligence: by Application(USD Million)
  • Table 5. Automotive Artificial Intelligence Human–Machine Interface , by Region USD Million (2017-2022)
  • Table 6. Automotive Artificial Intelligence Semi-autonomous Driving , by Region USD Million (2017-2022)
  • Table 7. Automotive Artificial Intelligence Autonomous Driving , by Region USD Million (2017-2022)
  • Table 8. Automotive Artificial Intelligence: by Technology(USD Million)
  • Table 9. Automotive Artificial Intelligence Deep Learning , by Region USD Million (2017-2022)
  • Table 10. Automotive Artificial Intelligence Machine Learning , by Region USD Million (2017-2022)
  • Table 11. Automotive Artificial Intelligence Context Awareness , by Region USD Million (2017-2022)
  • Table 12. Automotive Artificial Intelligence Computer Vision , by Region USD Million (2017-2022)
  • Table 13. Automotive Artificial Intelligence Natural Language Processing , by Region USD Million (2017-2022)
  • Table 14. Automotive Artificial Intelligence: by Process(USD Million)
  • Table 15. Automotive Artificial Intelligence Signal Recognition , by Region USD Million (2017-2022)
  • Table 16. Automotive Artificial Intelligence Image Recognition , by Region USD Million (2017-2022)
  • Table 17. Automotive Artificial Intelligence Data Mining , by Region USD Million (2017-2022)
  • Table 18. South America Automotive Artificial Intelligence, by Country USD Million (2017-2022)
  • Table 19. South America Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 20. South America Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 21. South America Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 22. South America Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 23. Brazil Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 24. Brazil Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 25. Brazil Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 26. Brazil Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 27. Argentina Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 28. Argentina Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 29. Argentina Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 30. Argentina Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 31. Rest of South America Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 32. Rest of South America Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 33. Rest of South America Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 34. Rest of South America Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 35. Asia Pacific Automotive Artificial Intelligence, by Country USD Million (2017-2022)
  • Table 36. Asia Pacific Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 37. Asia Pacific Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 38. Asia Pacific Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 39. Asia Pacific Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 40. China Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 41. China Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 42. China Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 43. China Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 44. Japan Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 45. Japan Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 46. Japan Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 47. Japan Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 48. India Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 49. India Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 50. India Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 51. India Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 52. South Korea Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 53. South Korea Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 54. South Korea Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 55. South Korea Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 56. Taiwan Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 57. Taiwan Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 58. Taiwan Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 59. Taiwan Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 60. Australia Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 61. Australia Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 62. Australia Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 63. Australia Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 64. Rest of Asia-Pacific Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 65. Rest of Asia-Pacific Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 66. Rest of Asia-Pacific Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 67. Rest of Asia-Pacific Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 68. Europe Automotive Artificial Intelligence, by Country USD Million (2017-2022)
  • Table 69. Europe Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 70. Europe Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 71. Europe Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 72. Europe Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 73. Germany Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 74. Germany Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 75. Germany Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 76. Germany Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 77. France Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 78. France Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 79. France Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 80. France Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 81. Italy Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 82. Italy Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 83. Italy Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 84. Italy Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 85. United Kingdom Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 86. United Kingdom Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 87. United Kingdom Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 88. United Kingdom Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 89. Netherlands Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 90. Netherlands Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 91. Netherlands Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 92. Netherlands Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 93. Rest of Europe Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 94. Rest of Europe Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 95. Rest of Europe Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 96. Rest of Europe Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 97. MEA Automotive Artificial Intelligence, by Country USD Million (2017-2022)
  • Table 98. MEA Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 99. MEA Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 100. MEA Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 101. MEA Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 102. Middle East Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 103. Middle East Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 104. Middle East Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 105. Middle East Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 106. Africa Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 107. Africa Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 108. Africa Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 109. Africa Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 110. North America Automotive Artificial Intelligence, by Country USD Million (2017-2022)
  • Table 111. North America Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 112. North America Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 113. North America Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 114. North America Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 115. United States Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 116. United States Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 117. United States Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 118. United States Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 119. Canada Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 120. Canada Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 121. Canada Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 122. Canada Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 123. Mexico Automotive Artificial Intelligence, by Type USD Million (2017-2022)
  • Table 124. Mexico Automotive Artificial Intelligence, by Application USD Million (2017-2022)
  • Table 125. Mexico Automotive Artificial Intelligence, by Technology USD Million (2017-2022)
  • Table 126. Mexico Automotive Artificial Intelligence, by Process USD Million (2017-2022)
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Company Basic Information, Sales Area and Its Competitors
  • Table 142. Company Basic Information, Sales Area and Its Competitors
  • Table 143. Company Basic Information, Sales Area and Its Competitors
  • Table 144. Company Basic Information, Sales Area and Its Competitors
  • Table 145. Automotive Artificial Intelligence: by Type(USD Million)
  • Table 146. Automotive Artificial Intelligence Hardware , by Region USD Million (2023-2028)
  • Table 147. Automotive Artificial Intelligence Software , by Region USD Million (2023-2028)
  • Table 148. Automotive Artificial Intelligence: by Application(USD Million)
  • Table 149. Automotive Artificial Intelligence Human–Machine Interface , by Region USD Million (2023-2028)
  • Table 150. Automotive Artificial Intelligence Semi-autonomous Driving , by Region USD Million (2023-2028)
  • Table 151. Automotive Artificial Intelligence Autonomous Driving , by Region USD Million (2023-2028)
  • Table 152. Automotive Artificial Intelligence: by Technology(USD Million)
  • Table 153. Automotive Artificial Intelligence Deep Learning , by Region USD Million (2023-2028)
  • Table 154. Automotive Artificial Intelligence Machine Learning , by Region USD Million (2023-2028)
  • Table 155. Automotive Artificial Intelligence Context Awareness , by Region USD Million (2023-2028)
  • Table 156. Automotive Artificial Intelligence Computer Vision , by Region USD Million (2023-2028)
  • Table 157. Automotive Artificial Intelligence Natural Language Processing , by Region USD Million (2023-2028)
  • Table 158. Automotive Artificial Intelligence: by Process(USD Million)
  • Table 159. Automotive Artificial Intelligence Signal Recognition , by Region USD Million (2023-2028)
  • Table 160. Automotive Artificial Intelligence Image Recognition , by Region USD Million (2023-2028)
  • Table 161. Automotive Artificial Intelligence Data Mining , by Region USD Million (2023-2028)
  • Table 162. South America Automotive Artificial Intelligence, by Country USD Million (2023-2028)
  • Table 163. South America Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 164. South America Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 165. South America Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 166. South America Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 167. Brazil Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 168. Brazil Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 169. Brazil Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 170. Brazil Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 171. Argentina Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 172. Argentina Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 173. Argentina Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 174. Argentina Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 175. Rest of South America Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 176. Rest of South America Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 177. Rest of South America Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 178. Rest of South America Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 179. Asia Pacific Automotive Artificial Intelligence, by Country USD Million (2023-2028)
  • Table 180. Asia Pacific Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 181. Asia Pacific Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 182. Asia Pacific Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 183. Asia Pacific Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 184. China Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 185. China Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 186. China Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 187. China Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 188. Japan Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 189. Japan Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 190. Japan Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 191. Japan Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 192. India Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 193. India Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 194. India Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 195. India Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 196. South Korea Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 197. South Korea Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 198. South Korea Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 199. South Korea Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 200. Taiwan Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 201. Taiwan Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 202. Taiwan Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 203. Taiwan Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 204. Australia Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 205. Australia Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 206. Australia Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 207. Australia Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 208. Rest of Asia-Pacific Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 209. Rest of Asia-Pacific Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 210. Rest of Asia-Pacific Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 211. Rest of Asia-Pacific Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 212. Europe Automotive Artificial Intelligence, by Country USD Million (2023-2028)
  • Table 213. Europe Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 214. Europe Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 215. Europe Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 216. Europe Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 217. Germany Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 218. Germany Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 219. Germany Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 220. Germany Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 221. France Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 222. France Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 223. France Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 224. France Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 225. Italy Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 226. Italy Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 227. Italy Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 228. Italy Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 229. United Kingdom Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 230. United Kingdom Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 231. United Kingdom Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 232. United Kingdom Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 233. Netherlands Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 234. Netherlands Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 235. Netherlands Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 236. Netherlands Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 237. Rest of Europe Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 238. Rest of Europe Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 239. Rest of Europe Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 240. Rest of Europe Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 241. MEA Automotive Artificial Intelligence, by Country USD Million (2023-2028)
  • Table 242. MEA Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 243. MEA Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 244. MEA Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 245. MEA Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 246. Middle East Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 247. Middle East Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 248. Middle East Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 249. Middle East Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 250. Africa Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 251. Africa Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 252. Africa Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 253. Africa Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 254. North America Automotive Artificial Intelligence, by Country USD Million (2023-2028)
  • Table 255. North America Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 256. North America Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 257. North America Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 258. North America Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 259. United States Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 260. United States Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 261. United States Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 262. United States Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 263. Canada Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 264. Canada Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 265. Canada Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 266. Canada Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 267. Mexico Automotive Artificial Intelligence, by Type USD Million (2023-2028)
  • Table 268. Mexico Automotive Artificial Intelligence, by Application USD Million (2023-2028)
  • Table 269. Mexico Automotive Artificial Intelligence, by Technology USD Million (2023-2028)
  • Table 270. Mexico Automotive Artificial Intelligence, by Process USD Million (2023-2028)
  • Table 271. Research Programs/Design for This Report
  • Table 272. Key Data Information from Secondary Sources
  • Table 273. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Automotive Artificial Intelligence: by Type USD Million (2017-2022)
  • Figure 5. Global Automotive Artificial Intelligence: by Application USD Million (2017-2022)
  • Figure 6. Global Automotive Artificial Intelligence: by Technology USD Million (2017-2022)
  • Figure 7. Global Automotive Artificial Intelligence: by Process USD Million (2017-2022)
  • Figure 8. South America Automotive Artificial Intelligence Share (%), by Country
  • Figure 9. Asia Pacific Automotive Artificial Intelligence Share (%), by Country
  • Figure 10. Europe Automotive Artificial Intelligence Share (%), by Country
  • Figure 11. MEA Automotive Artificial Intelligence Share (%), by Country
  • Figure 12. North America Automotive Artificial Intelligence Share (%), by Country
  • Figure 13. Global Automotive Artificial Intelligence share by Players 2022 (%)
  • Figure 14. Global Automotive Artificial Intelligence share by Players (Top 3) 2022(%)
  • Figure 15. Global Automotive Artificial Intelligence share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Alphabet Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 18. Alphabet Inc. (United States) Revenue: by Geography 2022
  • Figure 19. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 20. Microsoft Corporation (United States) Revenue: by Geography 2022
  • Figure 21. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. IBM Corporation (United States) Revenue: by Geography 2022
  • Figure 23. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 24. Intel Corporation (United States) Revenue: by Geography 2022
  • Figure 25. Harman International Industries Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 26. Harman International Industries Inc. (United States) Revenue: by Geography 2022
  • Figure 27. Xilinx Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 28. Xilinx Inc. (United States) Revenue: by Geography 2022
  • Figure 29. Qualcomm Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 30. Qualcomm Inc. (United States) Revenue: by Geography 2022
  • Figure 31. Tesla Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 32. Tesla Inc. (United States) Revenue: by Geography 2022
  • Figure 33. General Motors Company (United States) Revenue, Net Income and Gross profit
  • Figure 34. General Motors Company (United States) Revenue: by Geography 2022
  • Figure 35. Ford Motor Company (United States) Revenue, Net Income and Gross profit
  • Figure 36. Ford Motor Company (United States) Revenue: by Geography 2022
  • Figure 37. Uber Technologies Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 38. Uber Technologies Inc. (United States) Revenue: by Geography 2022
  • Figure 39. BMW AG (Germany) Revenue, Net Income and Gross profit
  • Figure 40. BMW AG (Germany) Revenue: by Geography 2022
  • Figure 41. Audi AG (Germany) Revenue, Net Income and Gross profit
  • Figure 42. Audi AG (Germany) Revenue: by Geography 2022
  • Figure 43. Daimler AG (Germany) Revenue, Net Income and Gross profit
  • Figure 44. Daimler AG (Germany) Revenue: by Geography 2022
  • Figure 45. Toyota Motor Corporation (Japan) Revenue, Net Income and Gross profit
  • Figure 46. Toyota Motor Corporation (Japan) Revenue: by Geography 2022
  • Figure 47. Honda Motor Co. Ltd. (Japan) Revenue, Net Income and Gross profit
  • Figure 48. Honda Motor Co. Ltd. (Japan) Revenue: by Geography 2022
  • Figure 49. Hyundai Motor Corporation (South Korea) Revenue, Net Income and Gross profit
  • Figure 50. Hyundai Motor Corporation (South Korea) Revenue: by Geography 2022
  • Figure 51. Volvo Car Corporation (Sweden) Revenue, Net Income and Gross profit
  • Figure 52. Volvo Car Corporation (Sweden) Revenue: by Geography 2022
  • Figure 53. Global Automotive Artificial Intelligence: by Type USD Million (2023-2028)
  • Figure 54. Global Automotive Artificial Intelligence: by Application USD Million (2023-2028)
  • Figure 55. Global Automotive Artificial Intelligence: by Technology USD Million (2023-2028)
  • Figure 56. Global Automotive Artificial Intelligence: by Process USD Million (2023-2028)
  • Figure 57. South America Automotive Artificial Intelligence Share (%), by Country
  • Figure 58. Asia Pacific Automotive Artificial Intelligence Share (%), by Country
  • Figure 59. Europe Automotive Artificial Intelligence Share (%), by Country
  • Figure 60. MEA Automotive Artificial Intelligence Share (%), by Country
  • Figure 61. North America Automotive Artificial Intelligence Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Alphabet Inc. (United States)
  • Microsoft Corporation (United States)
  • IBM Corporation (United States)
  • Intel Corporation (United States)
  • Harman International Industries Inc. (United States)
  • Xilinx Inc. (United States)
  • Qualcomm Inc. (United States)
  • Tesla Inc. (United States)
  • General Motors Company (United States)
  • Ford Motor Company (United States)
  • Uber Technologies Inc. (United States)
  • BMW AG (Germany)
  • Audi AG (Germany)
  • Daimler AG (Germany)
  • Toyota Motor Corporation (Japan)
  • Honda Motor Co. Ltd. (Japan)
  • Hyundai Motor Corporation (South Korea)
  • Volvo Car Corporation (Sweden)
Additional players considered in the study are as follows:
AImotive (Hungary) , Nauto (United States) , nuTonomy (United States) , Argo AI (United States) , drive.ai (United States) , Didi Chuxing (China)
Select User Access Type

Key Highlights of Report


May 2023 250 Pages 94 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

Request Sample Pages

Budget constraints? Get in touch with us for special pricing


Check Discount Now
Global Automotive Artificial Intelligence Market research Quantitative research analysis
Global Automotive Artificial Intelligence Market research Qualitative Industry Analysis
DOWNLOAD SAMPLE PDF

Talk to Our Experts

Want to Customize Study?


"We employ Market statistics, Industry benchmarking, Patent analysis, and Technological Insights to derive requirements and provide customize scope of work."

Make an Enquiry Now

Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as Alphabet Inc. (United States), Microsoft Corporation (United States), IBM Corporation (United States), Intel Corporation (United States), Harman International Industries Inc. (United States), Xilinx Inc. (United States), Qualcomm Inc. (United States), Tesla Inc. (United States), General Motors Company (United States), Ford Motor Company (United States), Uber Technologies Inc. (United States), BMW AG (Germany), Audi AG (Germany), Daimler AG (Germany), Toyota Motor Corporation (Japan), Honda Motor Co. Ltd. (Japan), Hyundai Motor Corporation (South Korea) and Volvo Car Corporation (Sweden) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Rising Demand for Autonomous Vehicles Performing All Driving Functions " is seen as one of major influencing trends for Automotive Artificial Intelligence Market during projected period 2022-2028.
The Automotive Artificial Intelligence market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.
Analysts at AMA estimates Automotive Artificial Intelligence Market to reach USD9537.46 Million by 2028.

Know More About Global Automotive Artificial Intelligence Market research Report?

Have a Query? Click Here

Other Related Reports

Car Radiator Comprehensive Study by Type (Cross-Flow Radiators, Down-Flow Radiators), Distribution Channel (Aftermarket, Original Equipment Manufacturing), Vehicle Type (Heavy Commercial Vehicle, Lig...
$ 3650
Automotive Brake Booster Comprehensive Study by Type (Single Diaphragm, Tandem Diaphragm), Application (Commercial vehicles, Heavy vehicles), Component Type (Body, Booster Piston, Booster Return, Con...
$ 3450
Automotive Alternator Comprehensive Study by Type (Salient Pole Type, Smooth Cylindrical Type), Application (Passenger Cars, Commercial Vehicles (LCVs and HCVs), Hybrid Vehicles), Output Power (Singl...
$ 3650
In-Dash Navigation System Comprehensive Study by Technology (2D Maps, 3D Maps), Connected Navigation Services Type (Real Time Traffic & Direction Information Services, Fleet Management Services, Othe...
$ 3750
Vehicle Turbocharger Comprehensive Study by Components (Turbine, Air Compressor, Shaft, Waste Gate, Lube Holes, Snap Rings, Others), Vehicle Type (Passenger cars, Light commercial vehicles, Truck, Bu...
$ 3450
Trunk Pads Comprehensive Study by Type (Leather, Flax, PVC, Others), Application (Family Car, SUV, Others), Shape (Raised Edges, Flat Edges, Others), Style (All-Weather, Carpet, Others), Material (Po...
$ 3450