Global Artificial Intelligence in Transportation Market Growth (Status and Outlook) 2024-2030

Global Artificial Intelligence in Transportation Market Growth (Status and Outlook) 2024-2030

The global Artificial Intelligence in Transportation market size is projected to grow from US$ million in 2023 to US$ million in 2030; it is expected to grow at a CAGR of % from 2024 to 2030.

LPI (LP Information)' newest research report, the “Artificial Intelligence in Transportation Industry Forecast” looks at past sales and reviews total world Artificial Intelligence in Transportation sales in 2023, providing a comprehensive analysis by region and market sector of projected Artificial Intelligence in Transportation sales for 2024 through 2030. With Artificial Intelligence in Transportation sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Artificial Intelligence in Transportation industry.

This Insight Report provides a comprehensive analysis of the global Artificial Intelligence in Transportation landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Artificial Intelligence in Transportation portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Artificial Intelligence in Transportation market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Artificial Intelligence in Transportation and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Artificial Intelligence in Transportation.

China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/38 of that of the United States.

This report presents a comprehensive overview, market shares, and growth opportunities of Artificial Intelligence in Transportation market by product type, application, key players and key regions and countries.

Segmentation by type
Hardware
Software

Segmentation by application
Semi & Full-Autonomous
HMI
Platooning

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Continental
Magna
Bosch
Valeo
ZF
Scania
Paccar
Volvo
Daimler
Nvidia
Alphabet
Intel
Microsoft

Please note: The report will take approximately 2 business days to prepare and deliver.