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PUBLISHER: The Business Research Company | PRODUCT CODE: 1392439

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PUBLISHER: The Business Research Company | PRODUCT CODE: 1392439

Artificial Intelligence in Transportation Global Market Report 2024

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“Artificial Intelligence in Transportation Global Market Report 2024 ” 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 artificial intelligence 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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for artificial intelligence 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 artificial intelligence 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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

  • 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 Offering: Hardware; Software
  • 2) By Machine Learning Technology: Deep Learning; Computer Vision; Context Awareness; Natural Language Processing
  • 3) By Process: Signal Recognition; Object Recognition; Data Mining
  • 4) By Application: Semi Autonomous Truck; Truck Platooning; Predictive Maintenance; Precision And Mapping; Autonomous Truck; Other Applications
  • Companies Mentioned: The Volvo Group; Mercedes-Benz Group AG; Scania AB; Peloton Interactive Inc.; Valeo SA
  • 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.

Executive Summary

Artificial intelligence in transportation involves the application of AI to process and predict data for travel and transportation operations, with the aim of improving efficiency. This includes the collection of traffic patterns, the minimization of road congestion, and the enhancement of public transportation schedules. Through these processes, AI contributes to optimizing logistics and reducing turnaround time.

The primary offerings in artificial intelligence in transportation are categorized into hardware and software. Hardware constitutes the physical components of a computer or its delivery mechanisms for executing software instructions. In the realm of transportation AI, hardware includes neuromorphic and von Neumann hardware. Various technologies, such as deep learning, computer vision, context awareness, and natural language processing, play a role in processes like signal recognition, object recognition, and data mining. These technologies find applications in semi-autonomous trucks, truck platooning, predictive maintenance, precision mapping, autonomous trucks, and other related areas.

The artificial intelligence in transportation market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence in transportation market statistics, including artificial intelligence in transportation industry global market size, regional shares, competitors with a artificial intelligence in transportation market share, detailed artificial intelligence in transportation market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in transportation industry. This artificial intelligence 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 artificial intelligence in transportation market size has grown rapidly in recent years. It will grow from $3. 11 billion in 2023 to $3. 71 billion in 2024 at a compound annual growth rate (CAGR) of 19. 4%. The expansion observed in the historical period can be attributed to several factors, including the utilization of cameras and sensors for collision avoidance, the integration of AI for real-time information analysis, the application of high-performance computing and deep learning systems, the increased availability of big data for training AI models, and a growing emphasis on automation for enhanced safety and operational efficiency.

The artificial intelligence in transportation market size is expected to see rapid growth in the next few years. It will grow to $7. 54 billion in 2028 at a compound annual growth rate (CAGR) of 19. 4%. The anticipated growth in the forecast period can be attributed to various factors, including the expanding applications of AI in supply chain and logistics for improved operational efficiency, a surge in the adoption of AI for autonomous vehicle development, the integration of AI in multimodal transportation planning and coordination, increased use of AI for real-time route optimization and traffic prediction, and a rising demand for AI-driven solutions in public transportation systems. Key trends expected during this period encompass the development of AI-powered Mobility-as-a-Service (MaaS) platforms, a focus on explainable AI for transparency in decision-making processes, the use of AI for personalized and adaptive in-vehicle experiences, customization of AI solutions tailored to specific transportation modes and industries, and collaborative efforts between AI developers and transportation stakeholders.

The expanding demand for autonomous vehicles is projected to drive the growth of artificial intelligence in the transportation market. Autonomous vehicles are vehicles capable of self-driving, equipped with technologies like adaptive cruise control, active steering, GPS navigation, and various sensors to operate from point A to B. They rely on artificial intelligence for vehicle operation and collision detection. For example, an AlixPartners survey revealed that over 60% of consumers in China, France, Italy, and Germany are familiar with level 2 autonomy, where vehicles handle some driving tasks, expecting drivers to respond as needed. Additionally, more than 50% of consumers are willing to forego vehicle ownership in favor of robotaxi services. Hence, the rising demand for autonomous vehicles will spur artificial intelligence adoption in the transportation sector.

Increasing urbanization is anticipated to drive the growth of artificial intelligence in the transportation market. Urbanization refers to the transition of rural areas into urban settings due to economic growth and industrialization. Artificial intelligence plays a crucial role in optimizing transportation in urban landscapes, enabling smarter traffic management, predictive maintenance, and the use of autonomous vehicles, thereby enhancing efficiency and reducing traffic congestion. As per the World Bank Group's report in April 2023, over half of the world's population currently resides in urban areas, and by 2045, this urban population is predicted to reach 6 billion, marking a 1. 5 times increase. Consequently, the rise in urbanization acts as a catalyst for artificial intelligence adoption in transportation.

Technological advancements stand out as a prominent trend fueling the artificial intelligence in the transportation market. Key market players are concentrating on innovating new products to fortify their market positions. For instance, in January 2022, Qualcomm, a US-based semiconductor manufacturer, introduced Snapdragon Ride. This technology aims to simplify autonomous driving and Advanced Driver Assistance Systems (ADAS) by integrating high-performance, energy-efficient hardware, artificial intelligence (AI) technologies, and an autonomous driving stack. Snapdragon Ride offers comprehensive tools for building deep neural networks (deep learning), resulting in a cost-effective, high-performance system.

Major players in the artificial intelligence in transportation sector are rolling out AI tools like the Dynamic Pricing Engine to tackle logistics industry challenges. This tool utilizes multiple variables like transportation modes, equipment, demand, and market competition to generate price ranges for logistics services. For instance, Imaginnovate, a US-based software firm, introduced the Dynamic Pricing Engine in September 2023. This AI tool automates pricing strategies in transportation and logistics, enabling companies to set competitive yet profitable prices. It considers factors such as transportation types, equipment, demand, and competition to optimize revenue while ensuring customer satisfaction.

In April 2021, Conduent Transportation, a US-based company specializing in business process services and solutions, partnered with Hayden AI to offer advanced solutions aimed at enhancing traffic safety and efficiency to cities and government organizations in the United States and globally. This collaboration merges Conduent's standing as a leading global provider of public transit and mobility solutions, encompassing traffic enforcement and infractions processing, with Hayden AI's expertise in computer vision-based real-time data collection and urban analytics. Hayden AI, a pioneer in smart traffic enforcement, brings extensive experience in leveraging computer vision technology for urban analytics.

Major companies operating in the in the artificial intelligence in transportation market report are The Volvo Group, Mercedes-Benz Group AG, Scania AB, Peloton Interactive Inc., Valeo SA, Xevo Inc., Nvidia Corporation, Intel Corporation, Robert Bosch GmbH, Continental AG, Microsoft Corporation, International Business Machines Corp, Magna International Inc., ZF Friedrichshafen AG, Alphabet Inc., Daimler AG, General Motors Company, Aptiv plc, Denso Corporation, Xilinx Inc., TomTom NV, Harman International Industries Inc., Nauto Inc., FiveAI Inc., Waymo LLC, Uber Technologies Inc., Tesla Inc., Mobileye NV, Baidu Inc., AutoX Inc., Ponyai Inc., TuSimple Inc., Aurora Innovation Inc., Embark Trucks Inc., Plusai Inc.

North America was the largest region in the artificial intelligence in transportation market in 2023. Asia-Pacific is expected to be the fastest growing region in the forecast period. The regions covered in the artificial intelligence in transportation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

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

Artificial Intelligence in transportation market includes revenues earned by entities by road traffic management systems, unmanned aircraft systems, automation of train operation (ATO), automatic identification systems (AIS) for shipping and autonomous navigation. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

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.

Product Code: r10127

Table of Contents

1. Executive Summary

2. Artificial Intelligence in Transportation Market Characteristics

3. Artificial Intelligence in Transportation Market Trends And Strategies

4. Artificial Intelligence in Transportation Market - Macro Economic Scenario

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Artificial Intelligence in Transportation Market Size and Growth

  • 5.1. Global Artificial Intelligence in Transportation Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Artificial Intelligence in Transportation Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Artificial Intelligence in Transportation Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Artificial Intelligence in Transportation Market Segmentation

  • 6.1. Global Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Hardware
  • Software
  • 6.2. Global Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Deep Learning
  • Computer Vision
  • Context Awareness
  • Natural Language Processing
  • 6.3. Global Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Signal Recognition
  • Object Recognition
  • Data Mining
  • 6. 4. Global Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Semi Autonomous Truck
  • Truck Platooning
  • Predictive Maintenance
  • Precision And Mapping
  • Autonomous Truck
  • Other Applications

7. Artificial Intelligence in Transportation Market Regional And Country Analysis

  • 7.1. Global Artificial Intelligence in Transportation Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Artificial Intelligence in Transportation Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific Artificial Intelligence in Transportation Market

  • 8.1. Asia-Pacific Artificial Intelligence in Transportation Market Overview
  • Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8. 4. Asia-Pacific Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Artificial Intelligence in Transportation Market

  • 9.1. China Artificial Intelligence in Transportation Market Overview
  • 9.2. China Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9. 4. China Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Artificial Intelligence in Transportation Market

  • 10.1. India Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Artificial Intelligence in Transportation Market

  • 11.1. Japan Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.2. Japan Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Artificial Intelligence in Transportation Market

  • 12.1. Australia Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Artificial Intelligence in Transportation Market

  • 13.1. Indonesia Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Artificial Intelligence in Transportation Market

  • 14.1. South Korea Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.2. South Korea Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe Artificial Intelligence in Transportation Market

  • 15.1. Western Europe Artificial Intelligence in Transportation Market Overview
  • 15.2. Western Europe Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15. 4. Western Europe Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Artificial Intelligence in Transportation Market

  • 16.1. UK Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Artificial Intelligence in Transportation Market

  • 17.1. Germany Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Artificial Intelligence in Transportation Market

  • 18. 5. France Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18. 6. France Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18. 7. France Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Artificial Intelligence in Transportation Market

  • 19. 9. Italy Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.10. Italy Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.11. Italy Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Artificial Intelligence in Transportation Market

  • 20.13. Spain Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.14. Spain Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.15. Spain Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Artificial Intelligence in Transportation Market

  • 21.1. Eastern Europe Artificial Intelligence in Transportation Market Overview
  • 21.2. Eastern Europe Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21. 4. Eastern Europe Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Artificial Intelligence in Transportation Market

  • 22.1. Russia Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Artificial Intelligence in Transportation Market

  • 23.1. North America Artificial Intelligence in Transportation Market Overview
  • 23.2. North America Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23. 4. North America Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA Artificial Intelligence in Transportation Market

  • 24.1. USA Artificial Intelligence in Transportation Market Overview
  • 24.2. USA Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24. 4. USA Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada Artificial Intelligence in Transportation Market

  • 25.1. Canada Artificial Intelligence in Transportation Market Overview
  • 25.2. Canada Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25. 4. Canada Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America Artificial Intelligence in Transportation Market

  • 26.1. South America Artificial Intelligence in Transportation Market Overview
  • 26.2. South America Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26. 4. South America Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Artificial Intelligence in Transportation Market

  • 27.1. Brazil Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Artificial Intelligence in Transportation Market

  • 28.1. Middle East Artificial Intelligence in Transportation Market Overview
  • 28.2. Middle East Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28. 4. Middle East Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa Artificial Intelligence in Transportation Market

  • 29.1. Africa Artificial Intelligence in Transportation Market Overview
  • 29.2. Africa Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29. 4. Africa Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. Artificial Intelligence in Transportation Market Competitive Landscape And Company Profiles

  • 30.1. Artificial Intelligence in Transportation Market Competitive Landscape
  • 30.2. Artificial Intelligence in Transportation Market Company Profiles
    • 30.2.1. The Volvo Group
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1. 4. Financial Performance
    • 30.2.2. Mercedes-Benz Group AG
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2. 4. Financial Performance
    • 30.2.3. Scania AB
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3. 4. Financial Performance
    • 30.2. 4. Peloton Interactive Inc.
      • 30.2. 4.1. Overview
      • 30.2. 4.2. Products and Services
      • 30.2. 4.3. Strategy
      • 30.2. 4. 4. Financial Performance
    • 30.2. 5. Valeo SA
      • 30.2. 5.1. Overview
      • 30.2. 5.2. Products and Services
      • 30.2. 5.3. Strategy
      • 30.2. 5. 4. Financial Performance

31. Global Artificial Intelligence in Transportation Market Competitive Benchmarking

32. Global Artificial Intelligence in Transportation Market Competitive Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence in Transportation Market

34. Artificial Intelligence in Transportation Market Future Outlook and Potential Analysis

  • 34.1 Artificial Intelligence in Transportation Market In 2028 - Countries Offering Most New Opportunities
  • 34.2 Artificial Intelligence in Transportation Market In 2028 - Segments Offering Most New Opportunities
  • 34. 3 Artificial Intelligence in Transportation Market In 2028 - Growth Strategies
    • 34.3.1 Market Trend Based Strategies
    • 34.3.2 Competitor Strategies

35. Appendix

  • 35.1. Abbreviations
  • 35.2. Currencies
  • 35.3. Historic And Forecast Inflation Rates
  • 35. 4. Research Inquiries
  • 35. 5. The Business Research Company
  • 35. 6. Copyright And Disclaimer
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