Global Artificial Intelligence in Transportation Market

Artificial Intelligence in Transportation Comprehensive Study by Application (Semi & Full-Autonomous, HMI, Platooning), Technology (Deep Learning, Computer Vision, Context Awareness, NLP), Process (Data Mining, Image Recognition, Signal Recognition), Offering (Hardware, Software) Players and Region - Global Market Outlook to 2027

Artificial Intelligence in Transportation Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Global Artificial Intelligence in Transportation Market Overview:
Transportation industry is evolving significantly in terms of automations. The automated vehicles requires machine intelligence that is artificial intelligence which refers to computer operated tasks which otherwise have required human intelligence such as decision making and visual perception. Transportation is a vital application area for artificial intelligence, involving the use computer vision, decision making and natural language processing (NLP) technologies. Fully Automated vehicles use AI based systems with the set of hardware such as Lidar, RADAR sensors, Video Cameras and many others. Thus, such a wide scope applications will lead to increase the demand for AI in transportation in forecasting years.

AttributesDetails
Study Period2017-2027
Base Year2021
Forecast Period2022-2027
Historical Period2017-2021
UnitValue (USD Billion)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


Influencing Trend:
Upsurging Strategic Alliances with other key players to Gain Competitive Edge and Introduction to Advanced Driver Assistance Systems

Market Growth Drivers:
Increasing Demand for Safe and On Time Movement of Goods and Cargo and Minimizes Operational Cost as well as Increases Efficiency of the Vehicles

Challenges:
Skilled Workforce is required and Data Privacy and Cyber Security

Restraints:
Expensive Artificially Intelligent Systems and Growth of AI in Transportation in Concentrated to Giant Manufacturers Only

Opportunities:
Increasing Adoption of Highly Automated Trucks and Adoption of AI may Reduce Driver Fatigue and Avoid Potential Accidents

Competitive Landscape:

Some of the key players profiled in the report are Microsoft Corporation (United States), IBM Corporation (United States), Continental (Germany), Alphabet Inc. (United States), Intel Corporation (United States), Magna (Canada), Robert Bosch GmbH (Germany), Nvidia Corporation (United States), Valeo SA (France) and ZF Friedrichshafen AG (Germany). The Players having a strong hold in the market are Alphabet ,Inc. Microsoft Corporation, IBM, and Intel Corporation. Additionally, following companies can also be profiled that are part of our coverage like Scania (Sweden), Paccar (United States), Volvo (Sweden) and Daimler (Germany). Analyst at AMA Research see United States and European Players to retain maximum share of Global Artificial Intelligence in Transportation market by 2027. Considering Market by Technology, the sub-segment i.e. Deep Learning will boost the Artificial Intelligence in Transportation market. Considering Market by Process, the sub-segment i.e. Data Mining will boost the Artificial Intelligence in Transportation market. Considering Market by Offering, the sub-segment i.e. Hardware will boost the Artificial Intelligence in Transportation market.

Latest Market Insights:
November 02nd, 2018, Continental AG has announced an agreement to acquire Cooper-Standard Automotive Inc.'s anti-vibration systems business for 265.5 million. The announced agreement also includes a binding offer for substantially through all of Cooper-Standard's anti-vibration business in France and its joint venture in India.

In March 2017, Intel Corporation has acquired Mobileye for around 15 billion USD. That offers software for deep learning technology, furthermore it has a major share in the global AI in transportation market. Therefore, the increasing demand for advancement in autonomous trucks has managed a large amount of funding for various start-ups in the global market.

In the year 2017, 33 US states were introduced legislation related to self-driven vehicles. Since 2012, over 40 states and Washington DC have considered legislation on driverless vehicles, and 22 states have passed laws. In addition to this, the Self Drive Act was passed by the US House of Representatives in April 2018, which restricts states bodies and municipalities from placing “unreasonable restrictions” on the rollout of self-driving cars.

What Can be Explored with the Artificial Intelligence in Transportation Market Study
 Gain Market Understanding
 Identify Growth Opportunities
 Analyze and Measure the Global Artificial Intelligence in Transportation Market by Identifying Investment across various Industry Verticals
 Understand the Trends that will drive Future Changes in Artificial Intelligence in Transportation
 Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Artificial Intelligence in Transportation market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Artificial Intelligence in Transportation market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Artificial Intelligence Hardware and Software Suppliers, Artificial Intelligence in Transportation Software & Solution Providers, Automotive OEMs, Raw Material Manufacturers, Research Organizations and Consulting Companies, Research Institutes, Industry Associations, Market Research and Consulting Firm and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.

Report Objectives / Segmentation Covered

By Application
  • Semi & Full-Autonomous
  • HMI
  • Platooning
By Technology
  • Deep Learning
  • Computer Vision
  • Context Awareness
  • NLP

By Process
  • Data Mining
  • Image Recognition
  • Signal Recognition

By Offering
  • Hardware
  • Software

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. Increasing Demand for Safe and On Time Movement of Goods and Cargo
      • 3.2.2. Minimizes Operational Cost as well as Increases Efficiency of the Vehicles
    • 3.3. Market Challenges
      • 3.3.1. Skilled Workforce is required
      • 3.3.2. Data Privacy and Cyber Security
    • 3.4. Market Trends
      • 3.4.1. Upsurging Strategic Alliances with other key players to Gain Competitive Edge
      • 3.4.2. Introduction to Advanced Driver Assistance Systems
  • 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 Artificial Intelligence in Transportation, by Application, Technology, Process, Offering and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Artificial Intelligence in Transportation (Value)
      • 5.2.1. Global Artificial Intelligence in Transportation by: Application (Value)
        • 5.2.1.1. Semi & Full-Autonomous
        • 5.2.1.2. HMI
        • 5.2.1.3. Platooning
      • 5.2.2. Global Artificial Intelligence in Transportation by: Technology (Value)
        • 5.2.2.1. Deep Learning
        • 5.2.2.2. Computer Vision
        • 5.2.2.3. Context Awareness
        • 5.2.2.4. NLP
      • 5.2.3. Global Artificial Intelligence in Transportation by: Process (Value)
        • 5.2.3.1. Data Mining
        • 5.2.3.2. Image Recognition
        • 5.2.3.3. Signal Recognition
      • 5.2.4. Global Artificial Intelligence in Transportation by: Offering (Value)
        • 5.2.4.1. Hardware
        • 5.2.4.2. Software
      • 5.2.5. Global Artificial Intelligence in Transportation 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
    • 5.3. Global Artificial Intelligence in Transportation (Price)
  • 6. Artificial Intelligence in Transportation: 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 (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Microsoft Corporation (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. IBM 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. Continental (Germany)
        • 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. Alphabet Inc. (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. Intel Corporation (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. Magna (Canada)
        • 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. Robert Bosch GmbH (Germany)
        • 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. Nvidia Corporation (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. Valeo SA (France)
        • 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. ZF Friedrichshafen AG (Germany)
        • 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
  • 7. Global Artificial Intelligence in Transportation Sale, by Application, Technology, Process, Offering and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Artificial Intelligence in Transportation (Value)
      • 7.2.1. Global Artificial Intelligence in Transportation by: Application (Value)
        • 7.2.1.1. Semi & Full-Autonomous
        • 7.2.1.2. HMI
        • 7.2.1.3. Platooning
      • 7.2.2. Global Artificial Intelligence in Transportation by: Technology (Value)
        • 7.2.2.1. Deep Learning
        • 7.2.2.2. Computer Vision
        • 7.2.2.3. Context Awareness
        • 7.2.2.4. NLP
      • 7.2.3. Global Artificial Intelligence in Transportation by: Process (Value)
        • 7.2.3.1. Data Mining
        • 7.2.3.2. Image Recognition
        • 7.2.3.3. Signal Recognition
      • 7.2.4. Global Artificial Intelligence in Transportation by: Offering (Value)
        • 7.2.4.1. Hardware
        • 7.2.4.2. Software
      • 7.2.5. Global Artificial Intelligence in Transportation 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
    • 7.3. Global Artificial Intelligence in Transportation (Price)
  • 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. Artificial Intelligence in Transportation: by Application(USD Billion)
  • Table 2. Artificial Intelligence in Transportation Semi & Full-Autonomous , by Region USD Billion (2016-2021)
  • Table 3. Artificial Intelligence in Transportation HMI , by Region USD Billion (2016-2021)
  • Table 4. Artificial Intelligence in Transportation Platooning , by Region USD Billion (2016-2021)
  • Table 5. Artificial Intelligence in Transportation: by Technology(USD Billion)
  • Table 6. Artificial Intelligence in Transportation Deep Learning , by Region USD Billion (2016-2021)
  • Table 7. Artificial Intelligence in Transportation Computer Vision , by Region USD Billion (2016-2021)
  • Table 8. Artificial Intelligence in Transportation Context Awareness , by Region USD Billion (2016-2021)
  • Table 9. Artificial Intelligence in Transportation NLP , by Region USD Billion (2016-2021)
  • Table 10. Artificial Intelligence in Transportation: by Process(USD Billion)
  • Table 11. Artificial Intelligence in Transportation Data Mining , by Region USD Billion (2016-2021)
  • Table 12. Artificial Intelligence in Transportation Image Recognition , by Region USD Billion (2016-2021)
  • Table 13. Artificial Intelligence in Transportation Signal Recognition , by Region USD Billion (2016-2021)
  • Table 14. Artificial Intelligence in Transportation: by Offering(USD Billion)
  • Table 15. Artificial Intelligence in Transportation Hardware , by Region USD Billion (2016-2021)
  • Table 16. Artificial Intelligence in Transportation Software , by Region USD Billion (2016-2021)
  • Table 17. South America Artificial Intelligence in Transportation, by Country USD Billion (2016-2021)
  • Table 18. South America Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 19. South America Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 20. South America Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 21. South America Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 22. Brazil Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 23. Brazil Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 24. Brazil Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 25. Brazil Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 26. Argentina Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 27. Argentina Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 28. Argentina Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 29. Argentina Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 30. Rest of South America Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 31. Rest of South America Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 32. Rest of South America Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 33. Rest of South America Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 34. Asia Pacific Artificial Intelligence in Transportation, by Country USD Billion (2016-2021)
  • Table 35. Asia Pacific Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 36. Asia Pacific Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 37. Asia Pacific Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 38. Asia Pacific Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 39. China Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 40. China Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 41. China Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 42. China Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 43. Japan Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 44. Japan Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 45. Japan Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 46. Japan Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 47. India Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 48. India Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 49. India Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 50. India Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 51. South Korea Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 52. South Korea Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 53. South Korea Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 54. South Korea Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 55. Taiwan Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 56. Taiwan Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 57. Taiwan Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 58. Taiwan Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 59. Australia Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 60. Australia Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 61. Australia Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 62. Australia Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 63. Rest of Asia-Pacific Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 64. Rest of Asia-Pacific Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 65. Rest of Asia-Pacific Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 66. Rest of Asia-Pacific Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 67. Europe Artificial Intelligence in Transportation, by Country USD Billion (2016-2021)
  • Table 68. Europe Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 69. Europe Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 70. Europe Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 71. Europe Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 72. Germany Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 73. Germany Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 74. Germany Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 75. Germany Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 76. France Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 77. France Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 78. France Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 79. France Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 80. Italy Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 81. Italy Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 82. Italy Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 83. Italy Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 84. United Kingdom Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 85. United Kingdom Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 86. United Kingdom Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 87. United Kingdom Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 88. Netherlands Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 89. Netherlands Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 90. Netherlands Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 91. Netherlands Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 92. Rest of Europe Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 93. Rest of Europe Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 94. Rest of Europe Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 95. Rest of Europe Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 96. MEA Artificial Intelligence in Transportation, by Country USD Billion (2016-2021)
  • Table 97. MEA Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 98. MEA Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 99. MEA Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 100. MEA Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 101. Middle East Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 102. Middle East Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 103. Middle East Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 104. Middle East Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 105. Africa Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 106. Africa Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 107. Africa Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 108. Africa Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 109. North America Artificial Intelligence in Transportation, by Country USD Billion (2016-2021)
  • Table 110. North America Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 111. North America Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 112. North America Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 113. North America Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 114. United States Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 115. United States Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 116. United States Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 117. United States Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 118. Canada Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 119. Canada Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 120. Canada Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 121. Canada Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 122. Mexico Artificial Intelligence in Transportation, by Application USD Billion (2016-2021)
  • Table 123. Mexico Artificial Intelligence in Transportation, by Technology USD Billion (2016-2021)
  • Table 124. Mexico Artificial Intelligence in Transportation, by Process USD Billion (2016-2021)
  • Table 125. Mexico Artificial Intelligence in Transportation, by Offering USD Billion (2016-2021)
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • 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. Artificial Intelligence in Transportation: by Application(USD Billion)
  • Table 137. Artificial Intelligence in Transportation Semi & Full-Autonomous , by Region USD Billion (2022-2027)
  • Table 138. Artificial Intelligence in Transportation HMI , by Region USD Billion (2022-2027)
  • Table 139. Artificial Intelligence in Transportation Platooning , by Region USD Billion (2022-2027)
  • Table 140. Artificial Intelligence in Transportation: by Technology(USD Billion)
  • Table 141. Artificial Intelligence in Transportation Deep Learning , by Region USD Billion (2022-2027)
  • Table 142. Artificial Intelligence in Transportation Computer Vision , by Region USD Billion (2022-2027)
  • Table 143. Artificial Intelligence in Transportation Context Awareness , by Region USD Billion (2022-2027)
  • Table 144. Artificial Intelligence in Transportation NLP , by Region USD Billion (2022-2027)
  • Table 145. Artificial Intelligence in Transportation: by Process(USD Billion)
  • Table 146. Artificial Intelligence in Transportation Data Mining , by Region USD Billion (2022-2027)
  • Table 147. Artificial Intelligence in Transportation Image Recognition , by Region USD Billion (2022-2027)
  • Table 148. Artificial Intelligence in Transportation Signal Recognition , by Region USD Billion (2022-2027)
  • Table 149. Artificial Intelligence in Transportation: by Offering(USD Billion)
  • Table 150. Artificial Intelligence in Transportation Hardware , by Region USD Billion (2022-2027)
  • Table 151. Artificial Intelligence in Transportation Software , by Region USD Billion (2022-2027)
  • Table 152. South America Artificial Intelligence in Transportation, by Country USD Billion (2022-2027)
  • Table 153. South America Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 154. South America Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 155. South America Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 156. South America Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 157. Brazil Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 158. Brazil Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 159. Brazil Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 160. Brazil Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 161. Argentina Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 162. Argentina Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 163. Argentina Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 164. Argentina Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 165. Rest of South America Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 166. Rest of South America Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 167. Rest of South America Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 168. Rest of South America Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 169. Asia Pacific Artificial Intelligence in Transportation, by Country USD Billion (2022-2027)
  • Table 170. Asia Pacific Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 171. Asia Pacific Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 172. Asia Pacific Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 173. Asia Pacific Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 174. China Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 175. China Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 176. China Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 177. China Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 178. Japan Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 179. Japan Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 180. Japan Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 181. Japan Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 182. India Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 183. India Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 184. India Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 185. India Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 186. South Korea Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 187. South Korea Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 188. South Korea Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 189. South Korea Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 190. Taiwan Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 191. Taiwan Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 192. Taiwan Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 193. Taiwan Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 194. Australia Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 195. Australia Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 196. Australia Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 197. Australia Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 198. Rest of Asia-Pacific Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 199. Rest of Asia-Pacific Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 200. Rest of Asia-Pacific Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 201. Rest of Asia-Pacific Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 202. Europe Artificial Intelligence in Transportation, by Country USD Billion (2022-2027)
  • Table 203. Europe Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 204. Europe Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 205. Europe Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 206. Europe Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 207. Germany Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 208. Germany Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 209. Germany Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 210. Germany Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 211. France Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 212. France Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 213. France Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 214. France Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 215. Italy Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 216. Italy Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 217. Italy Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 218. Italy Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 219. United Kingdom Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 220. United Kingdom Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 221. United Kingdom Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 222. United Kingdom Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 223. Netherlands Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 224. Netherlands Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 225. Netherlands Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 226. Netherlands Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 227. Rest of Europe Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 228. Rest of Europe Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 229. Rest of Europe Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 230. Rest of Europe Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 231. MEA Artificial Intelligence in Transportation, by Country USD Billion (2022-2027)
  • Table 232. MEA Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 233. MEA Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 234. MEA Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 235. MEA Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 236. Middle East Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 237. Middle East Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 238. Middle East Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 239. Middle East Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 240. Africa Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 241. Africa Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 242. Africa Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 243. Africa Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 244. North America Artificial Intelligence in Transportation, by Country USD Billion (2022-2027)
  • Table 245. North America Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 246. North America Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 247. North America Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 248. North America Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 249. United States Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 250. United States Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 251. United States Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 252. United States Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 253. Canada Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 254. Canada Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 255. Canada Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 256. Canada Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 257. Mexico Artificial Intelligence in Transportation, by Application USD Billion (2022-2027)
  • Table 258. Mexico Artificial Intelligence in Transportation, by Technology USD Billion (2022-2027)
  • Table 259. Mexico Artificial Intelligence in Transportation, by Process USD Billion (2022-2027)
  • Table 260. Mexico Artificial Intelligence in Transportation, by Offering USD Billion (2022-2027)
  • Table 261. Research Programs/Design for This Report
  • Table 262. Key Data Information from Secondary Sources
  • Table 263. 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 Artificial Intelligence in Transportation: by Application USD Billion (2016-2021)
  • Figure 5. Global Artificial Intelligence in Transportation: by Technology USD Billion (2016-2021)
  • Figure 6. Global Artificial Intelligence in Transportation: by Process USD Billion (2016-2021)
  • Figure 7. Global Artificial Intelligence in Transportation: by Offering USD Billion (2016-2021)
  • Figure 8. South America Artificial Intelligence in Transportation Share (%), by Country
  • Figure 9. Asia Pacific Artificial Intelligence in Transportation Share (%), by Country
  • Figure 10. Europe Artificial Intelligence in Transportation Share (%), by Country
  • Figure 11. MEA Artificial Intelligence in Transportation Share (%), by Country
  • Figure 12. North America Artificial Intelligence in Transportation Share (%), by Country
  • Figure 13. Global Artificial Intelligence in Transportation share by Players 2021 (%)
  • Figure 14. Global Artificial Intelligence in Transportation share by Players (Top 3) 2021(%)
  • Figure 15. Global Artificial Intelligence in Transportation share by Players (Top 5) 2021(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 18. Microsoft Corporation (United States) Revenue: by Geography 2021
  • Figure 19. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 20. IBM Corporation (United States) Revenue: by Geography 2021
  • Figure 21. Continental (Germany) Revenue, Net Income and Gross profit
  • Figure 22. Continental (Germany) Revenue: by Geography 2021
  • Figure 23. Alphabet Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 24. Alphabet Inc. (United States) Revenue: by Geography 2021
  • Figure 25. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 26. Intel Corporation (United States) Revenue: by Geography 2021
  • Figure 27. Magna (Canada) Revenue, Net Income and Gross profit
  • Figure 28. Magna (Canada) Revenue: by Geography 2021
  • Figure 29. Robert Bosch GmbH (Germany) Revenue, Net Income and Gross profit
  • Figure 30. Robert Bosch GmbH (Germany) Revenue: by Geography 2021
  • Figure 31. Nvidia Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 32. Nvidia Corporation (United States) Revenue: by Geography 2021
  • Figure 33. Valeo SA (France) Revenue, Net Income and Gross profit
  • Figure 34. Valeo SA (France) Revenue: by Geography 2021
  • Figure 35. ZF Friedrichshafen AG (Germany) Revenue, Net Income and Gross profit
  • Figure 36. ZF Friedrichshafen AG (Germany) Revenue: by Geography 2021
  • Figure 37. Global Artificial Intelligence in Transportation: by Application USD Billion (2022-2027)
  • Figure 38. Global Artificial Intelligence in Transportation: by Technology USD Billion (2022-2027)
  • Figure 39. Global Artificial Intelligence in Transportation: by Process USD Billion (2022-2027)
  • Figure 40. Global Artificial Intelligence in Transportation: by Offering USD Billion (2022-2027)
  • Figure 41. South America Artificial Intelligence in Transportation Share (%), by Country
  • Figure 42. Asia Pacific Artificial Intelligence in Transportation Share (%), by Country
  • Figure 43. Europe Artificial Intelligence in Transportation Share (%), by Country
  • Figure 44. MEA Artificial Intelligence in Transportation Share (%), by Country
  • Figure 45. North America Artificial Intelligence in Transportation Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Microsoft Corporation (United States)
  • IBM Corporation (United States)
  • Continental (Germany)
  • Alphabet Inc. (United States)
  • Intel Corporation (United States)
  • Magna (Canada)
  • Robert Bosch GmbH (Germany)
  • Nvidia Corporation (United States)
  • Valeo SA (France)
  • ZF Friedrichshafen AG (Germany)
Additional players considered in the study are as follows:
Scania (Sweden) , Paccar (United States) , Volvo (Sweden) , Daimler (Germany)
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Key Highlights of Report


Oct 2022 207 Pages 83 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Artificial Intelligence in Transportation Market Quantitative research analysis
Global Artificial Intelligence in Transportation Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

Top performing companies in the Global Artificial Intelligence in Transportation market are Microsoft Corporation (United States), IBM Corporation (United States), Continental (Germany), Alphabet Inc. (United States), Intel Corporation (United States), Magna (Canada), Robert Bosch GmbH (Germany), Nvidia Corporation (United States), Valeo SA (France) and ZF Friedrichshafen AG (Germany), to name a few.
"Upsurging Strategic Alliances with other key players to Gain Competitive Edge " is seen as one of major influencing trends for Artificial Intelligence in Transportation Market during projected period 2021-2027.

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