운송용 AI 시장 보고서(2026년)

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.

Tariffs have impacted the AI in transportation market by increasing costs of imported sensors, cameras, lidar systems, and processing units. Autonomous driving and smart traffic management applications are most affected, particularly in asia-pacific manufacturing regions. Higher component costs can slow pilot projects and large-scale deployments. However, tariffs are encouraging local manufacturing and software-driven innovation. This trend is supporting long-term resilience and regional ecosystem development.

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 exponentially in recent years. It will grow from $4.41 billion in 2025 to $5.3 billion in 2026 at a compound annual growth rate (CAGR) of 20.1%. The growth in the historic period can be attributed to growth of urban traffic congestion, adoption of fleet management systems, advancements in sensor technologies, increasing road safety concerns, expansion of logistics and transportation networks.

The AI in transportation market size is expected to see exponential growth in the next few years. It will grow to $11.17 billion in 2030 at a compound annual growth rate (CAGR) of 20.5%. The growth in the forecast period can be attributed to development of autonomous vehicles, smart city infrastructure investments, demand for emission reduction solutions, integration of AI with electric vehicles, growth of intelligent logistics platforms. Major trends in the forecast period include autonomous driving algorithms, intelligent traffic management systems, predictive fleet maintenance, computer vision for object detection, ai-based route optimization.

The increasing number of vehicles is anticipated to drive the growth of the AI in transportation market in the coming years. Factors such as population growth, economic development, and limited public transportation infrastructure contribute to the rising number of vehicles on the road. AI can help optimize traffic flow, alleviate congestion, and reduce travel times by analyzing real-time traffic data and adjusting signal timings and lane configurations accordingly. For example, in March 2024, the European Automobile Manufacturers' Association, a Belgium-based vehicle industry association, reported that the EU car market grew by 13.9% in 2023 compared to the previous year. In 2024, global car sales reached 74.6 million units, a 2.5% increase over 2023, with the EU accounting for 10.5 million units. Thus, the expanding vehicle population is fueling the growth of the AI in transportation market.

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.

In October 2025, Rose Rocket, a Canada-based software company, acquired Centro for an undisclosed amount. Through this acquisition, Rose Rocket aims to advance artificial intelligence innovation in the transportation sector by integrating sophisticated AI capabilities into its logistics management ecosystem to improve operational efficiency and automation. Centro, a Canada-based provider of logistics technology, specializes in AI-driven solutions that enhance connectivity between carriers and shippers and streamline freight operations.

Major companies operating in the AI in transportation market are 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 2025. The regions covered in the AI in transportation market report are Asia-Pacific, South East Asia, 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, Taiwan, 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 Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses 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, including technological disruption, regulatory shifts, and changing consumer preferences? 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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, 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. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• 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.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered:1) By Components: Hardware; Software
• 2) By Process: Signal Recognition; Object Recognition; Data Mining
• 3) By Technology Type: 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; 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.
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; South East Asia; 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.
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Table of Contents

1. Executive Summary

• 1.1. Key Market Insights (2020-2035)
• 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
• 1.3. Major Factors Driving the Market
• 1.4. Top Three Trends Shaping the Market

2. AI in Transportation Market Characteristics

• 2.1. Market Definition & Scope
• 2.2. Market Segmentations
• 2.3. Overview of Key Products and Services
• 2.4. Global AI in Transportation Market Attractiveness Scoring And Analysis
  • 2.4.1. Overview of Market Attractiveness Framework
  • 2.4.2. Quantitative Scoring Methodology
  • 2.4.3. Factor-Wise Evaluation
• Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
• 2.4.4. Market Attractiveness Scoring and Interpretation
• 2.4.5. Strategic Implications and Recommendations

3. AI in Transportation Market Supply Chain Analysis

• 3.1. Overview of the Supply Chain and Ecosystem
• 3.2. List Of Key Raw Materials, Resources & Suppliers
• 3.3. List Of Major Distributors and Channel Partners
• 3.4. List Of Major End Users

4. Global AI in Transportation Market Trends And Strategies

• 4.1. Key Technologies & Future Trends
  • 4.1.1 Artificial Intelligence & Autonomous Intelligence
  • 4.1.2 Autonomous Systems, Robotics & Smart Mobility
  • 4.1.3 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
  • 4.1.4 Digitalization, Cloud, Big Data & Cybersecurity
  • 4.1.5 Electric Mobility & Transportation Electrification
• 4.2. Major Trends
  • 4.2.1 Autonomous Driving Algorithms
  • 4.2.2 Intelligent Traffic Management Systems
  • 4.2.3 Predictive Fleet Maintenance
  • 4.2.4 Computer Vision For Object Detection
  • 4.2.5 Ai-Based Route Optimization

5. AI in Transportation Market Analysis Of End Use Industries

• 5.1 Automotive Manufacturers
• 5.2 Logistics And Freight Companies
• 5.3 Public Transportation Authorities
• 5.4 Smart City Operators
• 5.5 Fleet Management Companies

6. AI in Transportation Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global AI in Transportation Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

• 7.1. Global AI in Transportation PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 7.2. Global AI in Transportation Market Size, Comparisons And Growth Rate Analysis
• 7.3. Global AI in Transportation Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
• 7.4. Global AI in Transportation Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global AI in Transportation Total Addressable Market (TAM) Analysis for the Market

• 8.1. Definition and Scope of Total Addressable Market (TAM)
• 8.2. Methodology and Assumptions
• 8.3. Global Total Addressable Market (TAM) Estimation
• 8.4. TAM vs. Current Market Size Analysis
• 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. AI in Transportation Market Segmentation

• 9.1. Global AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Hardware, Software
• 9.2. Global AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Signal Recognition, Object Recognition, Data Mining
• 9.3. Global AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Deep Learning, Computer Vision, Context-Awareness
• 9.4. Global AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Semi-Autonomous Truck, Truck Platooning, Predictive Maintenance, Precision And Mapping, Autonomous Truck, Machine Human Interface, Other Applications
• 9.5. Global AI in Transportation Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Sensors, Cameras, LiDAR, Radar, GPS Devices
• 9.6. Global AI in Transportation Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Traffic Management Software, Autonomous Driving Software, Route Planning Software, Fleet Management Software, Predictive Analytics Software

10. AI in Transportation Market, Industry Metrics By Country

• 10.1. Global AI in Transportation Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
• 10.2. Global AI in Transportation Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. AI in Transportation Market Regional And Country Analysis

• 11.1. Global AI in Transportation Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• 11.2. Global AI in Transportation Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific AI in Transportation Market

• 12.1. 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
• 12.2. Asia-Pacific AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China AI in Transportation Market

• 13.1. China AI in Transportation Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 13.2. China AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India AI in Transportation Market

• 14.1. India AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan AI in Transportation Market

• 15.1. Japan AI in Transportation Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 15.2. Japan AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia AI in Transportation Market

• 16.1. Australia AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia AI in Transportation Market

• 17.1. Indonesia AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea AI in Transportation Market

• 18.1. South Korea AI in Transportation Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 18.2. South Korea AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan AI in Transportation Market

• 19.1. Taiwan AI in Transportation Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 19.2. Taiwan AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia AI in Transportation Market

• 20.1. South East Asia 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
• 20.2. South East Asia AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe AI in Transportation Market

• 21.1. Western Europe 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
• 21.2. Western Europe AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK AI in Transportation Market

• 22.1. UK AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany AI in Transportation Market

• 23.1. Germany AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France AI in Transportation Market

• 24.1. France AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy AI in Transportation Market

• 25.1. Italy AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain AI in Transportation Market

• 26.1. Spain AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe AI in Transportation Market

• 27.1. Eastern Europe 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
• 27.2. Eastern Europe AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia AI in Transportation Market

• 28.1. Russia AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America AI in Transportation Market

• 29.1. North America 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
• 29.2. North America AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA AI in Transportation Market

• 30.1. USA AI in Transportation Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 30.2. USA AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada AI in Transportation Market

• 31.1. Canada AI in Transportation Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 31.2. Canada AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America AI in Transportation Market

• 32.1. South America 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
• 32.2. South America AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil AI in Transportation Market

• 33.1. Brazil AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East AI in Transportation Market

• 34.1. Middle East 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
• 34.2. Middle East AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa AI in Transportation Market

• 35.1. Africa 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
• 35.2. Africa AI in Transportation Market, Segmentation By Components, Segmentation By Process, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. AI in Transportation Market Regulatory and Investment Landscape

37. AI in Transportation Market Competitive Landscape And Company Profiles

• 37.1. AI in Transportation Market Competitive Landscape And Market Share 2024
  • 37.1.1. Top 10 Companies (Ranked by revenue/share)
• 37.2. AI in Transportation Market - Company Scoring Matrix
  • 37.2.1. Market Revenues
  • 37.2.2. Product Innovation Score
  • 37.2.3. Brand Recognition
• 37.3. AI in Transportation Market Company Profiles
  • 37.3.1. Volvo AB Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.2. Mercedes-Benz Group AG Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.3. Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.4. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.5. NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis

38. AI in Transportation Market Other Major And Innovative Companies

• 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.

39. Global AI in Transportation Market Competitive Benchmarking And Dashboard

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

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

• 41.1. AI in Transportation Market In 2030 - Countries Offering Most New Opportunities
• 41.2. AI in Transportation Market In 2030 - Segments Offering Most New Opportunities
• 41.3. AI in Transportation Market In 2030 - Growth Strategies
  • 41.3.1. Market Trend Based Strategies
  • 41.3.2. Competitor Strategies

42. Appendix

• 42.1. Abbreviations
• 42.2. Currencies
• 42.3. Historic And Forecast Inflation Rates
• 42.4. Research Inquiries
• 42.5. The Business Research Company
• 42.6. Copyright And Disclaimer