Global AI in Transportation Market Research Report 2024

Publication ID:

PB502247627

Publication Date:

February 21, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Hardware (Computing & Electronics) [3]

Computing & Electronics [4]

Description:

The global AI in Transportation market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
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 鈧�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$432.8 billion in 2022, a year-on-year increase of 19.64%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for AI in Transportation, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI in Transportation.
Report Scope
The AI in Transportation market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI in Transportation market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI in Transportation companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
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
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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: Introduces executive summary of global market size, regional market size, 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, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size 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 market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

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: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.3 Market by Application
1.3.1 Global AI in Transportation Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Human Machine Interface (HMI)
1.3.3 Advance Driver Assistance System (ADAS)
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI in Transportation Market Perspective (2019-2030)
2.2 AI in Transportation Growth Trends by Region
2.2.1 Global AI in Transportation Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI in Transportation Historic Market Size by Region (2019-2024)
2.2.3 AI in Transportation Forecasted Market Size by Region (2025-2030)
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 Top AI in Transportation Players by Revenue
3.1.1 Global Top AI in Transportation Players by Revenue (2019-2024)
3.1.2 Global AI in Transportation Revenue Market Share by Players (2019-2024)
3.2 Global AI in Transportation Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI in Transportation Revenue
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 2023
3.5 AI in Transportation Key Players Head office and Area Served
3.6 Key Players AI in Transportation Product Solution and Service
3.7 Date of Enter into AI in Transportation Market
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 (2019-2024)
4.2 Global AI in Transportation Forecasted Market Size by Type (2025-2030)
5 AI in Transportation Breakdown Data by Application
5.1 Global AI in Transportation Historic Market Size by Application (2019-2024)
5.2 Global AI in Transportation Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI in Transportation Market Size (2019-2030)
6.2 North America AI in Transportation Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI in Transportation Market Size by Country (2019-2024)
6.4 North America AI in Transportation Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI in Transportation Market Size (2019-2030)
7.2 Europe AI in Transportation Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI in Transportation Market Size by Country (2019-2024)
7.4 Europe AI in Transportation Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI in Transportation Market Size (2019-2030)
8.2 Asia-Pacific AI in Transportation Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI in Transportation Market Size by Region (2019-2024)
8.4 Asia-Pacific AI in Transportation Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI in Transportation Market Size (2019-2030)
9.2 Latin America AI in Transportation Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI in Transportation Market Size by Country (2019-2024)
9.4 Latin America AI in Transportation Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI in Transportation Market Size (2019-2030)
10.2 Middle East & Africa AI in Transportation Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI in Transportation Market Size by Country (2019-2024)
10.4 Middle East & Africa AI in Transportation Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Daimler
11.1.1 Daimler Company Detail
11.1.2 Daimler Business Overview
11.1.3 Daimler AI in Transportation Introduction
11.1.4 Daimler Revenue in AI in Transportation Business (2019-2024)
11.1.5 Daimler Recent Development
11.2 Volvo
11.2.1 Volvo Company Detail
11.2.2 Volvo Business Overview
11.2.3 Volvo AI in Transportation Introduction
11.2.4 Volvo Revenue in AI in Transportation Business (2019-2024)
11.2.5 Volvo Recent Development
11.3 Scania
11.3.1 Scania Company Detail
11.3.2 Scania Business Overview
11.3.3 Scania AI in Transportation Introduction
11.3.4 Scania Revenue in AI in Transportation Business (2019-2024)
11.3.5 Scania Recent Development
11.4 MAN
11.4.1 MAN Company Detail
11.4.2 MAN Business Overview
11.4.3 MAN AI in Transportation Introduction
11.4.4 MAN Revenue in AI in Transportation Business (2019-2024)
11.4.5 MAN Recent Development
11.5 PACCAR
11.5.1 PACCAR Company Detail
11.5.2 PACCAR Business Overview
11.5.3 PACCAR AI in Transportation Introduction
11.5.4 PACCAR Revenue in AI in Transportation Business (2019-2024)
11.5.5 PACCAR Recent Development
11.6 ZF Friedrichshafen
11.6.1 ZF Friedrichshafen Company Detail
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 (2019-2024)
11.6.5 ZF Friedrichshafen Recent Development
11.7 Robert Bosch
11.7.1 Robert Bosch Company Detail
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 (2019-2024)
11.7.5 Robert Bosch Recent Development
11.8 Continental
11.8.1 Continental Company Detail
11.8.2 Continental Business Overview
11.8.3 Continental AI in Transportation Introduction
11.8.4 Continental Revenue in AI in Transportation Business (2019-2024)
11.8.5 Continental Recent Development
11.9 Valeo
11.9.1 Valeo Company Detail
11.9.2 Valeo Business Overview
11.9.3 Valeo AI in Transportation Introduction
11.9.4 Valeo Revenue in AI in Transportation Business (2019-2024)
11.9.5 Valeo Recent Development
11.10 NVIDIA
11.10.1 NVIDIA Company Detail
11.10.2 NVIDIA Business Overview
11.10.3 NVIDIA AI in Transportation Introduction
11.10.4 NVIDIA Revenue in AI in Transportation Business (2019-2024)
11.10.5 NVIDIA Recent Development
11.11 Intel Corporation
11.11.1 Intel Corporation Company Detail
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 (2019-2024)
11.11.5 Intel Corporation Recent Development
11.12 Microsoft
11.12.1 Microsoft Company Detail
11.12.2 Microsoft Business Overview
11.12.3 Microsoft AI in Transportation Introduction
11.12.4 Microsoft Revenue in AI in Transportation Business (2019-2024)
11.12.5 Microsoft Recent Development
11.13 Alphabet
11.13.1 Alphabet Company Detail
11.13.2 Alphabet Business Overview
11.13.3 Alphabet AI in Transportation Introduction
11.13.4 Alphabet Revenue in AI in Transportation Business (2019-2024)
11.13.5 Alphabet Recent Development
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

Companies Mentioned:

Daimler
Volvo
Scania
MAN
PACCAR
ZF Friedrichshafen
Robert Bosch
Continental
Valeo
NVIDIA
Intel Corporation
Microsoft
Alphabet

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