Market Analysis and Insights: Global AI in Transportation Market
The global AI in Transportation market is projected to grow from US$ million in 2023 to US$ million by 2029, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The US & Canada market for AI in Transportation is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The China market for AI in Transportation is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The Europe market for AI in Transportation is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global key companies of AI in Transportation include Daimler, Volvo, Scania, MAN, PACCAR, ZF Friedrichshafen, Robert Bosch, Continental and Valeo, etc. in 2022, the global top five players had a share approximately % in terms of revenue.
Report Includes
This report presents an overview of global market for AI in Transportation market size. Analyses of the global market trends, with historic market revenue data for 2018 - 2022, estimates for 2023, and projections of CAGR through 2029.
This report researches the key producers of AI in Transportation, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for AI in Transportation, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the AI in Transportation revenue, market share and industry ranking of main companies, data from 2018 to 2023. Identification of the major stakeholders in the global AI in Transportation market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by type and by application, revenue, and growth rate, from 2018 to 2029. Evaluation and forecast the market size for AI in Transportation revenue, projected growth trends, production technology, application and end-user industry.
Descriptive company profiles of the major global players, including Daimler, Volvo, Scania, MAN, PACCAR, ZF Friedrichshafen, Robert Bosch, Continental and Valeo, etc.
By Company
Daimler
Volvo
Scania
MAN
PACCAR
ZF Friedrichshafen
Robert Bosch
Continental
Valeo
NVIDIA
Intel Corporation
Microsoft
Alphabet
Segment by Type
Hardware
Software
Segment by Application
Human Machine Interface (HMI)
Advance Driver Assistance System (ADAS)
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East, Africa, and Latin America
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc.), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Revenue of AI in Transportation in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world. This section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI in Transportation companies鈥� competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America by type, by application and by country, revenue for each segment.
Chapter 7: Europe by type, by application and by country, revenue for each segment.
Chapter 8: China by type and by application revenue for each segment.
Chapter 9: Asia (excluding China) by type, by application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by type, by application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI in Transportation revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI in Transportation Market Size Growth Rate by Type, 2018 VS 2022 VS 2029
1.2.2 Hardware
1.2.3 Software
1.3 Market by Application
1.3.1 Global AI in Transportation Market Size Growth Rate by Application, 2018 VS 2022 VS 2029
1.3.2 Human Machine Interface (HMI)
1.3.3 Advance Driver Assistance System (ADAS)
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI in Transportation Market Perspective (2018-2029)
2.2 Global AI in Transportation Growth Trends by Region
2.2.1 AI in Transportation Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 AI in Transportation Historic Market Size by Region (2018-2023)
2.2.3 AI in Transportation Forecasted Market Size by Region (2024-2029)
2.3 AI in Transportation Market Dynamics
2.3.1 AI in Transportation Industry Trends
2.3.2 AI in Transportation Market Drivers
2.3.3 AI in Transportation Market Challenges
2.3.4 AI in Transportation Market Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue AI in Transportation by Players
3.1.1 Global AI in Transportation Revenue by Players (2018-2023)
3.1.2 Global AI in Transportation Revenue Market Share by Players (2018-2023)
3.2 Global AI in Transportation Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of AI in Transportation, Ranking by Revenue, 2021 VS 2022 VS 2023
3.4 Global AI in Transportation Market Concentration Ratio
3.4.1 Global AI in Transportation Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI in Transportation Revenue in 2022
3.5 Global Key Players of AI in Transportation Head office and Area Served
3.6 Global Key Players of AI in Transportation, Product and Application
3.7 Global Key Players of AI in Transportation, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI in Transportation Breakdown Data by Type
4.1 Global AI in Transportation Historic Market Size by Type (2018-2023)
4.2 Global AI in Transportation Forecasted Market Size by Type (2024-2029)
5 AI in Transportation Breakdown Data by Application
5.1 Global AI in Transportation Historic Market Size by Application (2018-2023)
5.2 Global AI in Transportation Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America AI in Transportation Market Size (2018-2029)
6.2 North America AI in Transportation Market Size by Type
6.2.1 North America AI in Transportation Market Size by Type (2018-2023)
6.2.2 North America AI in Transportation Market Size by Type (2024-2029)
6.2.3 North America AI in Transportation Market Share by Type (2018-2029)
6.3 North America AI in Transportation Market Size by Application
6.3.1 North America AI in Transportation Market Size by Application (2018-2023)
6.3.2 North America AI in Transportation Market Size by Application (2024-2029)
6.3.3 North America AI in Transportation Market Share by Application (2018-2029)
6.4 North America AI in Transportation Market Size by Country
6.4.1 North America AI in Transportation Market Size by Country: 2018 VS 2022 VS 2029
6.4.2 North America AI in Transportation Market Size by Country (2018-2023)
6.4.3 North America AI in Transportation Market Size by Country (2024-2029)
6.4.4 United States
6.4.5 Canada
7 Europe
7.1 Europe AI in Transportation Market Size (2018-2029)
7.2 Europe AI in Transportation Market Size by Type
7.2.1 Europe AI in Transportation Market Size by Type (2018-2023)
7.2.2 Europe AI in Transportation Market Size by Type (2024-2029)
7.2.3 Europe AI in Transportation Market Share by Type (2018-2029)
7.3 Europe AI in Transportation Market Size by Application
7.3.1 Europe AI in Transportation Market Size by Application (2018-2023)
7.3.2 Europe AI in Transportation Market Size by Application (2024-2029)
7.3.3 Europe AI in Transportation Market Share by Application (2018-2029)
7.4 Europe AI in Transportation Market Size by Country
7.4.1 Europe AI in Transportation Market Size by Country: 2018 VS 2022 VS 2029
7.4.2 Europe AI in Transportation Market Size by Country (2018-2023)
7.4.3 Europe AI in Transportation Market Size by Country (2024-2029)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China AI in Transportation Market Size (2018-2029)
8.2 China AI in Transportation Market Size by Type
8.2.1 China AI in Transportation Market Size by Type (2018-2023)
8.2.2 China AI in Transportation Market Size by Type (2024-2029)
8.2.3 China AI in Transportation Market Share by Type (2018-2029)
8.3 China AI in Transportation Market Size by Application
8.3.1 China AI in Transportation Market Size by Application (2018-2023)
8.3.2 China AI in Transportation Market Size by Application (2024-2029)
8.3.3 China AI in Transportation Market Share by Application (2018-2029)
9 Asia (excluding China)
9.1 Asia AI in Transportation Market Size (2018-2029)
9.2 Asia AI in Transportation Market Size by Type
9.2.1 Asia AI in Transportation Market Size by Type (2018-2023)
9.2.2 Asia AI in Transportation Market Size by Type (2024-2029)
9.2.3 Asia AI in Transportation Market Share by Type (2018-2029)
9.3 Asia AI in Transportation Market Size by Application
9.3.1 Asia AI in Transportation Market Size by Application (2018-2023)
9.3.2 Asia AI in Transportation Market Size by Application (2024-2029)
9.3.3 Asia AI in Transportation Market Share by Application (2018-2029)
9.4 Asia AI in Transportation Market Size by Region
9.4.1 Asia AI in Transportation Market Size by Region: 2018 VS 2022 VS 2029
9.4.2 Asia AI in Transportation Market Size by Region (2018-2023)
9.4.3 Asia AI in Transportation Market Size by Region (2024-2029)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America AI in Transportation Market Size (2018-2029)
10.2 Middle East, Africa, and Latin America AI in Transportation Market Size by Type
10.2.1 Middle East, Africa, and Latin America AI in Transportation Market Size by Type (2018-2023)
10.2.2 Middle East, Africa, and Latin America AI in Transportation Market Size by Type (2024-2029)
10.2.3 Middle East, Africa, and Latin America AI in Transportation Market Share by Type (2018-2029)
10.3 Middle East, Africa, and Latin America AI in Transportation Market Size by Application
10.3.1 Middle East, Africa, and Latin America AI in Transportation Market Size by Application (2018-2023)
10.3.2 Middle East, Africa, and Latin America AI in Transportation Market Size by Application (2024-2029)
10.3.3 Middle East, Africa, and Latin America AI in Transportation Market Share by Application (2018-2029)
10.4 Middle East, Africa, and Latin America AI in Transportation Market Size by Country
10.4.1 Middle East, Africa, and Latin America AI in Transportation Market Size by Country: 2018 VS 2022 VS 2029
10.4.2 Middle East, Africa, and Latin America AI in Transportation Market Size by Country (2018-2023)
10.4.3 Middle East, Africa, and Latin America AI in Transportation Market Size by Country (2024-2029)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Daimler
11.1.1 Daimler Company Details
11.1.2 Daimler Business Overview
11.1.3 Daimler AI in Transportation Introduction
11.1.4 Daimler Revenue in AI in Transportation Business (2018-2023)
11.1.5 Daimler Recent Developments
11.2 Volvo
11.2.1 Volvo Company Details
11.2.2 Volvo Business Overview
11.2.3 Volvo AI in Transportation Introduction
11.2.4 Volvo Revenue in AI in Transportation Business (2018-2023)
11.2.5 Volvo Recent Developments
11.3 Scania
11.3.1 Scania Company Details
11.3.2 Scania Business Overview
11.3.3 Scania AI in Transportation Introduction
11.3.4 Scania Revenue in AI in Transportation Business (2018-2023)
11.3.5 Scania Recent Developments
11.4 MAN
11.4.1 MAN Company Details
11.4.2 MAN Business Overview
11.4.3 MAN AI in Transportation Introduction
11.4.4 MAN Revenue in AI in Transportation Business (2018-2023)
11.4.5 MAN Recent Developments
11.5 PACCAR
11.5.1 PACCAR Company Details
11.5.2 PACCAR Business Overview
11.5.3 PACCAR AI in Transportation Introduction
11.5.4 PACCAR Revenue in AI in Transportation Business (2018-2023)
11.5.5 PACCAR Recent Developments
11.6 ZF Friedrichshafen
11.6.1 ZF Friedrichshafen Company Details
11.6.2 ZF Friedrichshafen Business Overview
11.6.3 ZF Friedrichshafen AI in Transportation Introduction
11.6.4 ZF Friedrichshafen Revenue in AI in Transportation Business (2018-2023)
11.6.5 ZF Friedrichshafen Recent Developments
11.7 Robert Bosch
11.7.1 Robert Bosch Company Details
11.7.2 Robert Bosch Business Overview
11.7.3 Robert Bosch AI in Transportation Introduction
11.7.4 Robert Bosch Revenue in AI in Transportation Business (2018-2023)
11.7.5 Robert Bosch Recent Developments
11.8 Continental
11.8.1 Continental Company Details
11.8.2 Continental Business Overview
11.8.3 Continental AI in Transportation Introduction
11.8.4 Continental Revenue in AI in Transportation Business (2018-2023)
11.8.5 Continental Recent Developments
11.9 Valeo
11.9.1 Valeo Company Details
11.9.2 Valeo Business Overview
11.9.3 Valeo AI in Transportation Introduction
11.9.4 Valeo Revenue in AI in Transportation Business (2018-2023)
11.9.5 Valeo Recent Developments
11.10 NVIDIA
11.10.1 NVIDIA Company Details
11.10.2 NVIDIA Business Overview
11.10.3 NVIDIA AI in Transportation Introduction
11.10.4 NVIDIA Revenue in AI in Transportation Business (2018-2023)
11.10.5 NVIDIA Recent Developments
11.11 Intel Corporation
11.11.1 Intel Corporation Company Details
11.11.2 Intel Corporation Business Overview
11.11.3 Intel Corporation AI in Transportation Introduction
11.11.4 Intel Corporation Revenue in AI in Transportation Business (2018-2023)
11.11.5 Intel Corporation Recent Developments
11.12 Microsoft
11.12.1 Microsoft Company Details
11.12.2 Microsoft Business Overview
11.12.3 Microsoft AI in Transportation Introduction
11.12.4 Microsoft Revenue in AI in Transportation Business (2018-2023)
11.12.5 Microsoft Recent Developments
11.13 Alphabet
11.13.1 Alphabet Company Details
11.13.2 Alphabet Business Overview
11.13.3 Alphabet AI in Transportation Introduction
11.13.4 Alphabet Revenue in AI in Transportation Business (2018-2023)
11.13.5 Alphabet Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Daimler
Volvo
Scania
MAN
PACCAR
ZF Friedrichshafen
Robert Bosch
Continental
Valeo
NVIDIA
Intel Corporation
Microsoft
Alphabet
听
听
*If Applicable.
