AI in Transportation Global Market Report 2025

Description

AI in transportation involves the application of artificial intelligence technologies in various aspects of transportation, including autonomous vehicles, traffic management, and logistics. The primary goals of AI in transportation include improving passenger safety, reducing accidents and traffic congestion, minimizing carbon emissions, and lowering overall costs.

The main components of AI in transportation comprise hardware and software. Hardware refers to the physical infrastructure that forms the basis for computer systems and other electronic devices to operate. In AI transportation processes, key activities include signal recognition, object recognition, and data mining. Various technology types, such as natural language processing, deep learning, computer vision, and context-awareness, are applied in applications such as semi-autonomous trucks, truck platooning, predictive maintenance, precision mapping, autonomous trucks, machine-human interface, and others.

The AI in transportation market research report is one of a series of new reports from The Business Research Company that provides AI in transportation market statistics, including AI in transportation industry global market size, regional shares, competitors with a AI in transportation market share, detailed AI in transportation market segments, market trends and opportunities, and any further data you may need to thrive in the AI in transportation industry. This AI in transportation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The AI in transportation market size has grown rapidly in recent years. It will grow from$3.78 billion in 2024 to $4.43 billion in 2025 at a compound annual growth rate (CAGR) of 17.4%. The growth in the historic period can be attributed to traffic management optimization, autonomous vehicles development, demand for intelligent public transportation, predictive maintenance for vehicles, rise in smart infrastructure

The AI in transportation market size is expected to see exponential growth in the next few years. It will grow to $9.31 billion in 2029 at a compound annual growth rate (CAGR) of 20.4%. The growth in the forecast period can be attributed to expansion of electric and connected vehicles, integration of AI in urban mobility, focus on sustainable and smart cities, enhanced safety features, remote operations and monitoring. Major trends in the forecast period include advancements in AI algorithms and machine learning, government initiatives and regulations, autonomous vehicles advancements, predictive maintenance with ai, multimodal integration.

The increasing number of vehicles is projected to drive the growth of the AI in transportation market in the coming years. This rise in vehicles on the road can be linked to various factors, such as population growth, economic development, and the shortcomings of public transportation infrastructure. AI can enhance traffic management by analyzing real-time traffic data to optimize traffic flow, alleviate congestion, and decrease travel times through adjustments in signal timings and lane configurations. For example, a report released in June 2024 by Statistics Canada, a national statistical agency in Canada, noted that the total number of registered road motor vehicles in the country reached 26.3 million in 2022, reflecting a modest increase of 0.3% from 2021. Consequently, the growing number of vehicles is fueling the expansion of the AI in transportation market.

The rising incidence of road accidents is also expected to fuel the growth of the AI in transportation market. Road accidents are defined as collisions involving at least one vehicle on a public road resulting in at least one person being injured or killed. AI in transportation is deployed to manage traffic congestion, enhance traffic flow, and minimize the likelihood of accidents. For instance, the National Highway Traffic Safety Administration reported an estimated 20,175 fatalities in on-road car accidents during the first half of 2022 in the United States, reflecting a 0.5% increase from 2021. Consequently, the increasing number of road accidents is a driving force behind the adoption of AI in the transportation sector.

Major companies in the AI in transportation market are forming strategic partnerships to leverage valuable information and resources, fostering innovation and the development of new technologies. These partnerships enable collaboration, allowing companies to pool their expertise and resources to create innovative AI-driven transportation solutions. For example, in October 2023, Amazon, a US-based e-commerce giant, entered into a partnership with UVeye, an automatic vehicle inspection provider, to develop an AI-based technology called Automated Vehicle Inspection (AVI). AVI is designed to inspect delivery vans for anomalies such as tire deformities, undercarriage wear, and body deformations. The system performs a quick full-vehicle scan while the vehicle is moving at 5 mph, identifies issues, classifies them by severity, and sends results to a computer. This technology aims to enhance the safety of Amazon's delivery fleet and reduce the need for manual inspections.

Technological advancements are a prominent trend in the AI in transportation market, with major companies adopting new technologies to maintain their competitive positions. In March 2023, Alibaba Cloud, a Singapore-based cloud computing services provider, introduced EasyDispatch, an AI-driven logistics solution. This solution features an AI-powered real-time service dispatch system that enhances supply chain management and reduces logistics costs. It offers high-accuracy address processing and field service dispatch capabilities, providing high performance, stability, and fast access from any location.

In October 2022, Velodyne Lidar, a US-based lidar technology company, acquired the AI software company Bluecity for an undisclosed amount. This acquisition expands Velodyne's capabilities by incorporating AI-powered autonomous vision systems and lidar-based solutions to address safety, traffic, and infrastructure challenges. Bluecity, based in Canada, specializes in AI software for next-generation lidar-based solutions that detect and identify vehicles, bicycles, and pedestrians.

Major companies operating in the AI in transportation market include Volvo AB, Mercedes-Benz Group AG, Alphabet Inc., Intel Corporation, NVIDIA Corporation, Valeo SA, ZF Friedrichshafen AG, Continental AG, Magna International Inc., Microsoft Corporation, PACCAR Inc., Robert Bosch GmbH, Scania Group, Xevo Inc., Zonar Systems Inc., Daimler AG, Waymo LLC, Tesla Inc., Uber Technologies Inc., Mobileye Global Inc., Aptiv plc, TomTom N.V., HERE Technologies, Siemens AG, Cisco Systems Inc., IBM Corporation, Cognata Ltd., Argo AI, Aurora Innovation Inc., Zoox Inc., Embark Technology Inc., TuSimple Holdings Inc., PlusAI Inc.

North America was the largest region in the AI in transportation market in 2024. The regions covered in the ai in transportation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the ai in transportation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The AI in transportation market consists of revenues earned by entities by providing Intelligent traffic management, safety management, automatic traffic incident detection, advanced driver-assistance systems and route optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in transportation market also includes sales of storage devices, network connectors, and storage IOPS. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI in Transportation Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in transportation market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for ai in transportation ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The ai in transportation market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:1) By Components: Hardware; Software
2) By Process: Signal Recognition; Object Recognition; Data Mining
3) By Technology Type: Natural Language Processing; Deep Learning; Computer Vision; Context-Awareness
4) By Application: Semi-Autonomous Truck; Truck Platooning; Predictive Maintenance; Precision And Mapping; Autonomous Truck; Machine Human Interface; Other Applications
Subsegments:
1) By Hardware: Sensors; Cameras; LiDAR; Radar; GPS Devices
2) By Software: Traffic Management Software; Autonomous Driving Software; Route Planning Software; Fleet Management Software; Predictive Analytics Software
Companies Mentioned: Volvo AB; Mercedes-Benz Group AG; Alphabet Inc.; Intel Corporation; NVIDIA Corporation
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery format: PDF, Word and Excel Data Dashboard.

Product Code: r23888

1. Executive Summary

2. AI in Transportation Market Characteristics

3. AI in Transportation Market Trends And Strategies

4. AI in Transportation Market - Macro Economic Scenario including the impact of Interest Rates, Inflation, Geopolitics and Covid And Recovery on the Market

5. Global AI in Transportation Growth Analysis And Strategic Analysis Framework

5.1. Global AI in Transportation PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
5.2. Analysis Of End Use Industries
5.3. Global AI in Transportation Market Growth Rate Analysis
5.4. Global AI in Transportation Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
5.5. Global AI in Transportation Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
5.6. Global AI in Transportation Total Addressable Market (TAM)

6. AI in Transportation Market Segmentation

6.1. Global AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Hardware
Software
6.2. Global AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Signal Recognition
Object Recognition
Data Mining
6.3. Global AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Natural Language Processing
Deep Learning
Computer Vision
Context-Awareness
6.4. Global AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Semi-Autonomous Truck
Truck Platooning
Predictive Maintenance
Precision And Mapping
Autonomous Truck
Machine Human Interface
Other Applications
6.5. Global AI in Transportation Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Sensors
Cameras
LiDAR
Radar
GPS Devices
6.6. Global AI in Transportation Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Traffic Management Software
Autonomous Driving Software
Route Planning Software
Fleet Management Software
Predictive Analytics Software

7. AI in Transportation Market Regional And Country Analysis

7.1. Global AI in Transportation Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
7.2. Global AI in Transportation Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific AI in Transportation Market

8.1. Asia-Pacific AI in Transportation Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
8.2. Asia-Pacific AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8.3. Asia-Pacific AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8.4. Asia-Pacific AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI in Transportation Market

9.1. China AI in Transportation Market Overview
9.2. China AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
9.3. China AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
9.4. China AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India AI in Transportation Market

10.1. India AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
10.2. India AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
10.3. India AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan AI in Transportation Market

11.1. Japan AI in Transportation Market Overview
11.2. Japan AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11.3. Japan AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11.4. Japan AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia AI in Transportation Market

12.1. Australia AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12.2. Australia AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12.3. Australia AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia AI in Transportation Market

13.1. Indonesia AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13.2. Indonesia AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13.3. Indonesia AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea AI in Transportation Market

14.1. South Korea AI in Transportation Market Overview
14.2. South Korea AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14.3. South Korea AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14.4. South Korea AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe AI in Transportation Market

15.1. Western Europe AI in Transportation Market Overview
15.2. Western Europe AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15.3. Western Europe AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15.4. Western Europe AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK AI in Transportation Market

16.1. UK AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16.2. UK AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16.3. UK AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany AI in Transportation Market

17.1. Germany AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17.2. Germany AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17.3. Germany AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France AI in Transportation Market

18.1. France AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18.2. France AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18.3. France AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy AI in Transportation Market

19.1. Italy AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19.2. Italy AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19.3. Italy AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain AI in Transportation Market

20.1. Spain AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20.2. Spain AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20.3. Spain AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe AI in Transportation Market

21.1. Eastern Europe AI in Transportation Market Overview
21.2. Eastern Europe AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21.3. Eastern Europe AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21.4. Eastern Europe AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia AI in Transportation Market

22.1. Russia AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22.2. Russia AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22.3. Russia AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America AI in Transportation Market

23.1. North America AI in Transportation Market Overview
23.2. North America AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23.3. North America AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23.4. North America AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA AI in Transportation Market

24.1. USA AI in Transportation Market Overview
24.2. USA AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24.3. USA AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24.4. USA AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada AI in Transportation Market

25.1. Canada AI in Transportation Market Overview
25.2. Canada AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25.3. Canada AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25.4. Canada AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America AI in Transportation Market

26.1. South America AI in Transportation Market Overview
26.2. South America AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26.3. South America AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26.4. South America AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil AI in Transportation Market

27.1. Brazil AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27.2. Brazil AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27.3. Brazil AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East AI in Transportation Market

28.1. Middle East AI in Transportation Market Overview
28.2. Middle East AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28.3. Middle East AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28.4. Middle East AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa AI in Transportation Market

29.1. Africa AI in Transportation Market Overview
29.2. Africa AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29.3. Africa AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29.4. Africa AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. AI in Transportation Market Competitive Landscape And Company Profiles

30.1. AI in Transportation Market Competitive Landscape
30.2. AI in Transportation Market Company Profiles
- 30.2.1. Volvo AB Overview, Products and Services, Strategy and Financial Analysis
- 30.2.2. Mercedes-Benz Group AG Overview, Products and Services, Strategy and Financial Analysis
- 30.2.3. Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
- 30.2.4. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
- 30.2.5. NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis

31. AI in Transportation Market Other Major And Innovative Companies

31.1. Valeo SA
31.2. ZF Friedrichshafen AG
31.3. Continental AG
31.4. Magna International Inc.
31.5. Microsoft Corporation
31.6. PACCAR Inc.
31.7. Robert Bosch GmbH
31.8. Scania Group
31.9. Xevo Inc.
31.10. Zonar Systems Inc.
31.11. Daimler AG
31.12. Waymo LLC
31.13. Tesla Inc.
31.14. Uber Technologies Inc.
31.15. Mobileye Global Inc.

32. Global AI in Transportation Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI in Transportation Market

34. Recent Developments In The AI in Transportation Market

35. AI in Transportation Market High Potential Countries, Segments and Strategies

35.1 AI in Transportation Market In 2029 - Countries Offering Most New Opportunities
35.2 AI in Transportation Market In 2029 - Segments Offering Most New Opportunities
35.3 AI in Transportation Market In 2029 - Growth Strategies
- 35.3.1 Market Trend Based Strategies
- 35.3.2 Competitor Strategies

36. Appendix

36.1. Abbreviations
36.2. Currencies
36.3. Historic And Forecast Inflation Rates
36.4. Research Inquiries
36.5. The Business Research Company
36.6. Copyright And Disclaimer