Global AI in Transportation Market Research Report 2024
Published on: 2024-01-04 | No of Pages : 400 | Industry : Latest Trends
Publisher : MRA | Format : PDF
Global AI in Transportation Market Research Report 2024
According to MRA Research’s new survey, 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. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole AI in Transportation market research.
Key companies engaged in the AI in Transportation industry include Daimler, Volvo, Scania, MAN, PACCAR, ZF Friedrichshafen, Robert Bosch, Continental and Valeo, etc. Among those companies, the top 3 players guaranteed % supply worldwide in 2023.
When refers to consumption region, % value of AI in Transportation were sold to North America, Europe and Asia Pacific in 2023. Moreover, China, plays a key role in the whole AI in Transportation market and estimated to attract more attentions from industry insiders and investors.
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.
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
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
Turkey
Saudi Arabia
UAE
Rest of MEA
The AI in Transportation report covers below items
Chapter 1Product Basic Information (Definition, Type and Application)
Chapter 2Global market size, regional market size. Market Opportunities and Challenges
Chapter 3Companies’ Competition Patterns
Chapter 4Product Type Analysis
Chapter 5Product Application Analysis
Chapter 6 to 10Country Level Value Analysis
Chapter 11Companies' Outline
Chapter 12Market Conclusions
Chapter 13Research Methodology and Data Source
Key companies engaged in the AI in Transportation industry include Daimler, Volvo, Scania, MAN, PACCAR, ZF Friedrichshafen, Robert Bosch, Continental and Valeo, etc. Among those companies, the top 3 players guaranteed % supply worldwide in 2023.
When refers to consumption region, % value of AI in Transportation were sold to North America, Europe and Asia Pacific in 2023. Moreover, China, plays a key role in the whole AI in Transportation market and estimated to attract more attentions from industry insiders and investors.
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.
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
Turkey
Saudi Arabia
UAE
Rest of MEA
The AI in Transportation report covers below items
Chapter 1Product Basic Information (Definition, Type and Application)
Chapter 2Global market size, regional market size. Market Opportunities and Challenges
Chapter 3Companies’ Competition Patterns
Chapter 4Product Type Analysis
Chapter 5Product Application Analysis
Chapter 6 to 10Country Level Value Analysis
Chapter 11Companies' Outline
Chapter 12Market Conclusions
Chapter 13Research Methodology and Data Source