Global Artificial Intelligence for Automotive Applications Market 2022: Size, Status and Forecast
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Applications Market Size, Status and Forecast 2022 provides
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About
Artificial Intelligence Market
This report studies the global
Artificial Intelligence for Automotive Applications market, analyzes
and researches the Artificial Intelligence for Automotive
Applications development status and forecast in United States, EU,
Japan, China, India and Southeast Asia. This report focuses on the
top players in global market, like
AImotive
Argo AI
Astute Solutions
Audi
BMW
Bosch
Bright Box
Carnegie Mellon University
Eyeris
FiveAI
Ford
General Motors
Google
Graphcore
Harman International
Honda
Intel
Mercedes-Benz
Microsoft
Nauto
New York Institute of Technology
New York University Tanden School
of Engineering
Nokia
Nuance Communications
NVIDIA
PolySync
Tesla
Texas Instruments
Toyota
DiDi
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Market segment by
Regions/Countries, this report covers
United States
EU
Japan
China
India
Southeast Asia
Market segment by Type, Artificial
Intelligence for Automotive Applications can be split into
Machine Learning
Neural Networks
Market segment by Application,
Artificial Intelligence for Automotive Applications can be split into
Autonomous Driving
Driver and Passenger
Personalization and Enhancement
Enhanced Ability to Capture Data
Other
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requirements, please let us know and we will offer you the report as
you want.
Table of Contents
Global Artificial Intelligence for
Automotive Applications Market Size, Status and Forecast 2022
1 Industry Overview of Artificial
Intelligence for Automotive Applications
1.1 Artificial Intelligence for
Automotive Applications Market Overview
1.1.1 Artificial Intelligence for
Automotive Applications Product Scope
1.1.2 Market Status and Outlook
1.2 Global Artificial Intelligence
for Automotive Applications Market Size and Analysis by Regions
1.2.1 United States
1.2.2 EU
1.2.3 Japan
1.2.4 China
1.2.5 India
1.2.6 Southeast Asia
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1.3 Artificial Intelligence for
Automotive Applications Market by Type
1.3.1 Machine Learning
1.3.2 Neural Networks
1.4 Artificial Intelligence for
Automotive Applications Market by End Users/Application
1.4.1 Autonomous Driving
1.4.2 Driver and Passenger
Personalization and Enhancement
1.4.3 Enhanced Ability to Capture
Data
1.4.4 Other
2 Global Artificial Intelligence
for Automotive Applications Competition Analysis by Players
2.1 Artificial Intelligence for
Automotive Applications Market Size (Value) by Players (2016 and
2017)
2.2 Competitive Status and Trend
2.2.1 Market Concentration Rate
2.2.2 Product/ICT Differences
2.2.3 New Entrants
2.2.4 The Technology Trends in
Future
3 Company (Top Players) Profiles
3.1 AImotive
3.1.1 Company Profile
3.1.2 Main Business/Business
Overview
3.1.3 Products, ICTs and Solutions
3.1.4 Artificial Intelligence for
Automotive Applications Revenue (Value) (2012-2017)
3.1.5 Recent Developments
3.2 Argo AI
3.2.1 Company Profile
3.2.2 Main Business/Business
Overview
3.2.3 Products, ICTs and Solutions
3.2.4 Artificial Intelligence for
Automotive Applications Revenue (Value) (2012-2017)
3.2.5 Recent Developments
3.3 Astute Solutions
3.3.1 Company Profile
3.3.2 Main Business/Business
Overview
3.3.3 Products, ICTs and Solutions
3.3.4 Artificial Intelligence for
Automotive Applications Revenue (Value) (2012-2017)
3.3.5 Recent Developments
3.4 Audi
3.4.1 Company Profile
3.4.2 Main Business/Business
Overview
3.4.3 Products, ICTs and Solutions
3.4.4 Artificial Intelligence for
Automotive Applications Revenue (Value) (2012-2017)
3.4.5 Recent Developments
3.5 BMW
3.5.1 Company Profile
3.5.2 Main Business/Business
Overview
3.5.3 Products, ICTs and Solutions
3.5.4 Artificial Intelligence for
Automotive Applications Revenue (Value) (2012-2017)
3.5.5 Recent Developments
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3.6 Bosch
3.6.1 Company Profile
3.6.2 Main Business/Business
Overview
3.6.3 Products, ICTs and Solutions
3.6.4 Artificial Intelligence for
Automotive Applications Revenue (Value) (2012-2017)
3.6.5 Recent Developments
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