Global Artificial Intelligence for Automotive Applications Market is expected to rise at a higher CAGR in the forthcoming years. Artificial intelligence (AI) for automotive applications comprise virtual digital assistants deploying artificial intelligence system. These systems significantly use data and algorithms to imitate cognitive functions of the human mind and also include the learning capabilities and problem solving independently. Artificial intelligence is not confined to autonomous driving. By deploying artificial intelligence suppliers and automakers comprehend the AI engines can also be used in making the car more comfortable for driver as well as passenger.

Commercial driving factors responsible for the growth the market include stringent norms by government, rise in adoption for ADAs technology and growth in demand for improved user experience. Based on segmentation by platform, the Artificial Intelligence for Automotive Applications Market includes hardware and software. Based on segmentation by technology, the Industry includes deep learning, machine learning, context awareness, natural language processing and computer vision. Based on segmentation by application, Artificial Intelligence for Automotive Applications Market includes signal recognition, image recognition and data mining.

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Geographically, Artificial Intelligence for Automotive Applications Market spans North America, Latin America, Europe, Asia-Pacific, Middle-East and Africa. APAC regions account for a larger share in the global market owing to rise in living standards and presence of automotive companies in large. Europe and North American regions also account for a significant share in the artificial intelligence for automotive applications industry owing to rise in technology and manufacturing infrastructure.

The key players in the Artificial Intelligence for Automotive Applications Market include NVIDIA Corporation, Alphabet Inc., Intel Corporation, IBM Corporation, Microsoft Corporation, Harman International Industries Inc., Xilinx Inc., Qualcomm Inc., Tesla Inc., Volvo Car Corporation, BMW AG, Audi AG, General Motors Company, Ford Motor Company, Toyota Motor Corporation, Hyundai Motor Corporation, Uber Technologies Inc., Honda Motor Co. Ltd., Daimler AG, and Didi Chuxing, AImotive, Nauto Inc., nuTonomy, Argo AI, and drive.ai.

Market Segment:

Geographically, this report is segmented into several key Regions, with production, consumption, revenue (million USD), market share and growth rate of Artificial Intelligence for Automotive Applications in these regions, from 2012 to 2022 (forecast), covering
• United States
• EU
• China
• Japan
• South Korea
• India

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Global Artificial Intelligence for Automotive Applications market competition by top manufacturers, with production, price, revenue (value) and market share for each manufacturer; the top players including
• AImotive
• Argo AI
• Astute Solutions
• Audi
• BMW

On the basis of product, this report displays the production, revenue, price, market share and growth rate of each type, primarily split into
• Machine Learning
• Neural Networks

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On the basis on the end users/applications, this report focuses on the status and outlook for major applications/end users, consumption (sales), market share and growth rate of Artificial Intelligence for Automotive Applications for each application, including
• Autonomous Driving
• Driver and Passenger Personalization and Enhancement
• Enhanced Ability to Capture Data
• Other

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Artificial Intelligence for Automotive Applications Market Professional Survey Report 2017
Publicado em Tecnologia

This report studies Artificial Intelligence for Automotive Applications in Global market, especially in North America, China, Europe, Southeast Asia, Japan and India, with production, revenue, consumption, import and export in these regions, from 2012 to 2016, and forecast to 2022.

This report focuses on top manufacturers in global market, with production, price, revenue and market share for each manufacturer, covering

  • AImotive
  • Argo AI
  • Astute Solutions
  • Audi
  • BMW

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By Regions, this report covers we can add the regions/countries as you want

  • North America
  • China
  • Europe
  • Southeast Asia
  • Japan
  • India

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By types, the market can be split into

  • Machine Learning
  • Neural Networks

By Application, the market can be split into

  • Autonomous Driving
  • Driver and Passenger Personalization and Enhancement
  • Enhanced Ability to Capture Data
  • Other

Table Of Content

1 Industry Overview of Artificial Intelligence for Automotive Applications
1.1 Definition and Specifications of Artificial Intelligence for Automotive Applications
1.1.1 Definition of Artificial Intelligence for Automotive Applications
1.1.2 Specifications of Artificial Intelligence for Automotive Applications
1.2 Classification of Artificial Intelligence for Automotive Applications

2 Manufacturing Cost Structure Analysis of Artificial Intelligence for Automotive Applications
2.1 Raw Material and Suppliers
2.2 Manufacturing Cost Structure Analysis of Artificial Intelligence for Automotive Applications
2.3 Manufacturing Process Analysis of Artificial Intelligence for Automotive Applications
2.4 Industry Chain Structure of Artificial Intelligence for Automotive Applications

3 Technical Data and Manufacturing Plants Analysis of Artificial Intelligence for Automotive Applications
3.1 Capacity and Commercial Production Date of Global Artificial Intelligence for Automotive Applications Major Manufacturers in 2016
3.2 Manufacturing Plants Distribution of Global Artificial Intelligence for Automotive Applications Major Manufacturers in 2016
3.3 R&D Status and Technology Source of Global Artificial Intelligence for Automotive Applications Major Manufacturers in 2016
3.4 Raw Materials Sources Analysis of Global Artificial Intelligence for Automotive Applications Major Manufacturers in 2016

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