Global Artificial Intelligence (AI) in Automotive Market Report, History and Forecast 2016-2027, Breakdown Data by Companies, Key Regions, Types and Application

SKU ID : QYR-18535533 | Publishing Date : 14-Jun-2021 | No. of pages : 119

AI in Automotive is the application of artificial intelligence in cars, which enhances the driving experience through advanced driving standards such as advanced driver assistance system (ADAS) technology, blind spot alert and adaptive cruise control.In addition, artificial intelligence promotes various functions of self-driving cars, such as self-parking, lane assistance and navigation, by identifying objects around the vehicle in real time.Self-driving cars equipped with AI can enhance the user experience and reduce human intervention.AI in auto insurance is driving the development of artificial intelligence in the auto market, as it helps assess risk in real time and speeds up the claims process when an accident occurs.Artificial intelligence is rapidly being adopted in the car industry because it can sense the work of its human counterpart and adjust its movements accordingly to avoid injury.

Market Analysis and Insights: Global Artificial Intelligence (AI) in Automotive Market
The research report studies the Artificial Intelligence (AI) in Automotive market using different methodologies and analyzes to provide accurate and in-depth information about the market. For a clearer understanding, it is divided into several parts to cover different aspects of the market. Each area is then elaborated to help the reader comprehend the growth potential of each region and its contribution to the global market. The researchers have used primary and secondary methodologies to collate the information in the report. They have also used the same data to generate the current market scenario. This report is aimed at guiding people towards an apprehensive, better, and clearer knowledge of the market.
The global Artificial Intelligence (AI) in Automotive market size is projected to reach US$ XX million by 2027, from US$ XX million in 2020, at a CAGR of XX% during 2021-2027.

Global Artificial Intelligence (AI) in Automotive Scope and Segment
The global Artificial Intelligence (AI) in Automotive market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Artificial Intelligence (AI) in Automotive 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 region (country), by Type, and by Application for the period 2016-2027.

Segment by Type
Computer Vision
Context Awareness
Deep Learning
Machine Learning
Natural Language Processing (NLP)
深度学习,机器学习,上下文感知,计算机视觉,自然语言处理

Segment by Application
Human–Machine Interface (HMI)
Semi-Autonomous Vehicle
Autonomous Vehicle

By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Latin America
Mexico
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE

By Company
Alphabet (Google)
IBM
Intel
Samsung
Microsoft
Amazon Web Services
Qualcomm
Micron
Tesla
Toyota Motor Corporation
Uber Technologies
Volvo Corporation
Xilinx
SoundHound
Audi
BMW
Daimler
Didi Chuxing
Ford Motor Company
General Motors Company
Harman Industrial Industries
Honda Motor

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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