Global AI in Transportation Market Report, History and Forecast 2018-2034, Breakdown Data by Companies, Key Regions, Types and Application
Published on: 2024-01-04 | No of Pages : 400 | Industry : Latest Trends
Publisher : MRA | Format : PDF
Global AI in Transportation Market Report, History and Forecast 2018-2034, Breakdown Data by Companies, Key Regions, Types and Application
AI in Transportation report published by MRA Research reveals that COVID-19 and Russia-Ukraine War impacted the market dually in 2023. Global AI in Transportation market is projected to reach US$ million in 2033, increasing from US$ million in 2023, with the CAGR of % during the period of 2023 to 2033. Demand from Human Machine Interface (HMI) and Advance Driver Assistance System (ADAS) are the major drivers for the industry.
North America, Europe and Asia Pacific are the key regions for AI in Transportation industry. Among those areas, stimulated by rigid demand from downstream industries, Asia Pacific is estimated to experience fast growth, with the CAGR of % during 2023 to 2033.
Globally, AI in Transportation key companies include Daimler, Volvo, Scania, MAN, PACCAR, ZF Friedrichshafen, Robert Bosch, Continental and Valeo, etc. Daimler, Volvo, Scania are top 3 players and held % share in total in 2023.
AI in Transportation can be divided into Hardware and Software, etc. Hardware is the mainstream product in the market, accounting for % share globally in 2023.
AI in Transportation is widely used in various fields, such as Human Machine Interface (HMI) and Advance Driver Assistance System (ADAS), etc. Human Machine Interface (HMI) provides greatest supports to the AI in Transportation industry development. In 2023, global % share of AI in Transportation went into Human Machine Interface (HMI) filed.
Report Scope
This report, based on historical analysis (2018-2023) and forecast calculation (2023-2033), aims to help readers to get a comprehensive understanding of global AI in Transportation market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
Companies, Type, Application and Regions Listed in the Report
Daimler
Volvo
Scania
MAN
PACCAR
ZF Friedrichshafen
Robert Bosch
Continental
Valeo
NVIDIA
Intel Corporation
Microsoft
Alphabet
Segment by Type
Hardware
Software
Human Machine Interface (HMI)
Advance Driver Assistance System (ADAS)
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Latin America
Mexico
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE
Each chapter of the report provides detailed information for readers to understand the AI in Transportation market further
Chapter 1Global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2033).
Chapter 2Product Types and Revenue analysis of Each Type in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 3Product Application and Revenue analysis of Each Application in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 4Company Competition Status, Detailed analysis of Product Name companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5Companies’ Outline, covering company’s basic information, AI in Transportation introduction, etc. AI in Transportation Revenue and Gross Margin of each company as well as Recent Development are also contained in this part.
Chapter 6 to 10Country Level analysis of North America, Europe, Asia-Pacific, Latin America, Middle East and Africa by revenue.
Chapter 11Market 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.
Chapter 12MRA Research’s Conclusions of AI in Transportation market based on comprehensive survey.
Chapter 13Methodology and Data Sources adopted by MRA Research.
North America, Europe and Asia Pacific are the key regions for AI in Transportation industry. Among those areas, stimulated by rigid demand from downstream industries, Asia Pacific is estimated to experience fast growth, with the CAGR of % during 2023 to 2033.
Globally, AI in Transportation key companies include Daimler, Volvo, Scania, MAN, PACCAR, ZF Friedrichshafen, Robert Bosch, Continental and Valeo, etc. Daimler, Volvo, Scania are top 3 players and held % share in total in 2023.
AI in Transportation can be divided into Hardware and Software, etc. Hardware is the mainstream product in the market, accounting for % share globally in 2023.
AI in Transportation is widely used in various fields, such as Human Machine Interface (HMI) and Advance Driver Assistance System (ADAS), etc. Human Machine Interface (HMI) provides greatest supports to the AI in Transportation industry development. In 2023, global % share of AI in Transportation went into Human Machine Interface (HMI) filed.
Report Scope
This report, based on historical analysis (2018-2023) and forecast calculation (2023-2033), aims to help readers to get a comprehensive understanding of global AI in Transportation market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
Companies, Type, Application and Regions Listed in the Report
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
U.K.
Italy
Russia
Nordic Countries
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Latin America
Mexico
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE
Each chapter of the report provides detailed information for readers to understand the AI in Transportation market further
Chapter 1Global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2033).
Chapter 2Product Types and Revenue analysis of Each Type in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 3Product Application and Revenue analysis of Each Application in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 4Company Competition Status, Detailed analysis of Product Name companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5Companies’ Outline, covering company’s basic information, AI in Transportation introduction, etc. AI in Transportation Revenue and Gross Margin of each company as well as Recent Development are also contained in this part.
Chapter 6 to 10Country Level analysis of North America, Europe, Asia-Pacific, Latin America, Middle East and Africa by revenue.
Chapter 11Market 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.
Chapter 12MRA Research’s Conclusions of AI in Transportation market based on comprehensive survey.
Chapter 13Methodology and Data Sources adopted by MRA Research.
Electronic and Semiconductor
Food and Beverages
Chemicals and Materials
Consumer Goods
Construction Manufacturing
Aerospace and Defence
Energy and Power
ICT Media
Banking and Finance
Automotive and Transportation
Machinery and Equipments
Pharmaceutical and Healthcare
Medical Devices