Global AI in Transportation Market Size, Status and Forecast 2022

SKU ID : QYR-19697555 | Publishing Date : 13-Dec-2021 | No. of pages : 108

In 2021, the global AI in Transportation market size will be US$ million and it is expected to reach US$ million by the end of 2027, with a CAGR of % during 2021-2027.
This report focuses on the global AI in Transportation status, future forecast, growth opportunity, key market, and key players. The study objectives are to present the AI in Transportation development in North America, Europe, Japan, China, Southeast Asia, India, etc.

Global AI in Transportation Scope and Market Size
AI in Transportation market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global AI in Transportation market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
Hardware
Software

Segment by Application
Human Machine Interface (HMI)
Advance Driver Assistance System (ADAS)

By Region
North America
Europe
Japan
China
Southeast Asia
India

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

Frequently Asked Questions

This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
  • By product type
  • By End User/Applications
  • By Technology
  • By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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