

According to our latest research, the global AI in Transportation market size will reach USD million in 2030, growing at a CAGR of % over the analysis period.
The AI in Transportation market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.64%, including software, hardware and services.
Market segmentation
AI in Transportation market is split by Type and by Application. For the period 2024-2030, the growth among segments provide accurate calculations and forecasts for revenue by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type, covers
Hardware
Software
Market segment by Application, can be divided into
Human Machine Interface (HMI)
Advance Driver Assistance System (ADAS)
Market segment by players, this report covers
Daimler
Volvo
Scania
MAN
PACCAR
ZF Friedrichshafen
Robert Bosch
Continental
Valeo
NVIDIA
Intel Corporation
Microsoft
Alphabet
Market segment by regions, regional analysis covers
North America
Europe
Asia-Pacific (China, Japan, South Korea, Rest of Asia-Pacific)
South America
Middle East & Africa
The content of the study subjects, includes a total of 8 chapters:
Chapter 1, to describe AI in Transportation product scope, market overview, market opportunities, market driving force and market risks.
Chapter 2, to profile the top players of AI in Transportation, with recent developments and future plans
Chapter 3, the AI in Transportation competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4, to break the market size data at the region level, with key companies in the key region and AI in Transportation market forecast, by regions, with revenue, from 2024 to 2030.
Chapter 5 and 6, to segment the market size by Type and application, with revenue and growth rate by Type, application, from 2024 to 2030.
Chapter 7 and 8, to describe AI in Transportation research findings and conclusion, appendix and data source.
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1 Market Overview
1.1 Product Overview and Scope of AI in Transportation
1.2 Classification of AI in Transportation by Type
1.2.1 Overview: Global AI in Transportation Market Size by Type: 2024 Versus 2030
1.2.2 Global AI in Transportation Revenue Market Share by Type in 2030
1.2.3 Hardware
1.2.4 Software
1.3 Global AI in Transportation Market by Application
1.3.1 Overview: Global AI in Transportation Market Size by Application: 2024 Versus 2030
1.3.2 Human Machine Interface (HMI)
1.3.3 Advance Driver Assistance System (ADAS)
1.4 Global AI in Transportation Market Size & Forecast
1.5 Market Drivers, Restraints and Trends
1.5.1 AI in Transportation Market Drivers
1.5.2 AI in Transportation Market Restraints
1.5.3 AI in Transportation Trends Analysis
2 Company Profiles
2.1 Daimler
2.1.1 Daimler Details
2.1.2 Daimler Major Business
2.1.3 Daimler AI in Transportation Product and Solutions
2.1.4 Daimler Recent Developments and Future Plans
2.2 Volvo
2.2.1 Volvo Details
2.2.2 Volvo Major Business
2.2.3 Volvo AI in Transportation Product and Solutions
2.2.4 Volvo Recent Developments and Future Plans
2.3 Scania
2.3.1 Scania Details
2.3.2 Scania Major Business
2.3.3 Scania AI in Transportation Product and Solutions
2.3.4 Scania Recent Developments and Future Plans
2.4 MAN
2.4.1 MAN Details
2.4.2 MAN Major Business
2.4.3 MAN AI in Transportation Product and Solutions
2.4.4 MAN Recent Developments and Future Plans
2.5 PACCAR
2.5.1 PACCAR Details
2.5.2 PACCAR Major Business
2.5.3 PACCAR AI in Transportation Product and Solutions
2.5.4 PACCAR Recent Developments and Future Plans
2.6 ZF Friedrichshafen
2.6.1 ZF Friedrichshafen Details
2.6.2 ZF Friedrichshafen Major Business
2.6.3 ZF Friedrichshafen AI in Transportation Product and Solutions
2.6.4 ZF Friedrichshafen Recent Developments and Future Plans
2.7 Robert Bosch
2.7.1 Robert Bosch Details
2.7.2 Robert Bosch Major Business
2.7.3 Robert Bosch AI in Transportation Product and Solutions
2.7.4 Robert Bosch Recent Developments and Future Plans
2.8 Continental
2.8.1 Continental Details
2.8.2 Continental Major Business
2.8.3 Continental AI in Transportation Product and Solutions
2.8.4 Continental Recent Developments and Future Plans
2.9 Valeo
2.9.1 Valeo Details
2.9.2 Valeo Major Business
2.9.3 Valeo AI in Transportation Product and Solutions
2.9.4 Valeo Recent Developments and Future Plans
2.10 NVIDIA
2.10.1 NVIDIA Details
2.10.2 NVIDIA Major Business
2.10.3 NVIDIA AI in Transportation Product and Solutions
2.10.4 NVIDIA Recent Developments and Future Plans
2.11 Intel Corporation
2.11.1 Intel Corporation Details
2.11.2 Intel Corporation Major Business
2.11.3 Intel Corporation AI in Transportation Product and Solutions
2.11.4 Intel Corporation Recent Developments and Future Plans
2.12 Microsoft
2.12.1 Microsoft Details
2.12.2 Microsoft Major Business
2.12.3 Microsoft AI in Transportation Product and Solutions
2.12.4 Microsoft Recent Developments and Future Plans
2.13 Alphabet
2.13.1 Alphabet Details
2.13.2 Alphabet Major Business
2.13.3 Alphabet AI in Transportation Product and Solutions
2.13.4 Alphabet Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global AI in Transportation Revenue and Share by Players (2024 & 2030)
3.2 AI in Transportation Players Head Office, Products and Services Provided
3.3 AI in Transportation Mergers & Acquisitions
3.4 AI in Transportation New Entrants and Expansion Plans
4 Global AI in Transportation Forecast by Region
4.1 Global AI in Transportation Market Size by Region: 2024 VS 2030
4.2 Global AI in Transportation Market Size by Region, (2024-2030)
4.3 North America
4.3.1 Key Companies of AI in Transportation in North America
4.3.2 Current Situation and Forecast of AI in Transportation in North America
4.3.3 North America AI in Transportation Market Size and Prospect (2024-2030)
4.4 Europe
4.4.1 Key Companies of AI in Transportation in Europe
4.4.2 Current Situation and Forecast of AI in Transportation in Europe
4.4.3 Europe AI in Transportation Market Size and Prospect (2024-2030)
4.5 Asia-Pacific
4.5.1 Key Companies of AI in Transportation in Asia-Pacific
4.5.2 Current Situation and Forecast of AI in Transportation in Asia-Pacific
4.5.3 Asia-Pacific AI in Transportation Market Size and Prospect (2024-2030)
4.5.4 China
4.5.5 Japan
4.5.6 South Korea
4.6 South America
4.6.1 Key Companies of AI in Transportation in South America
4.6.2 Current Situation and Forecast of AI in Transportation in South America
4.6.3 South America AI in Transportation Market Size and Prospect (2024-2030)
4.7 Middle East & Africa
4.7.1 Key Companies of AI in Transportation in Middle East & Africa
4.7.2 Current Situation and Forecast of AI in Transportation in Middle East & Africa
4.7.3 Middle East & Africa AI in Transportation Market Size and Prospect (2024-2030)
5 Market Size Segment by Type
5.1 Global AI in Transportation Market Forecast by Type (2024-2030)
5.2 Global AI in Transportation Market Share Forecast by Type (2024-2030)
6 Market Size Segment by Application
6.1 Global AI in Transportation Market Forecast by Application (2024-2030)
6.2 Global AI in Transportation Market Share Forecast by Application (2024-2030)
7 Research Findings and Conclusion
8 Appendix
8.1 Methodology
8.2 Research Process and Data Source
8.3 Disclaimer
Daimler
Volvo
Scania
MAN
PACCAR
ZF Friedrichshafen
Robert Bosch
Continental
Valeo
NVIDIA
Intel Corporation
Microsoft
Alphabet
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*If Applicable.