Global Automotive Artificial Intelligence Market

By Technology (Computer Vision, Natural Language Processing, Deep Learning, Machine Learning, Context Awareness), Component (Software, Hardware), Process (Image Recognition, Data Mining, Signal Recognition), Application (Semi-autonomous Driving, Autonomous Driving, Human-Machine Interface), and Regional Market Size, Status and Forecast to 2025

Market Overview:
The Global Automotive Artificial Intelligence Market was valued at USD 572.54 million in 2016 and is projected to reach USD 10,862.51 million by 2025, growing at a CAGR of 38.68% from 2017 to 2025.

The Automotive industry has seen the promise of artificial intelligence (AI) technology, and is among the industries at the forefront of using AI to augment human actions and to mimic the actions of humans. Benefits of automotive artificial intelligence include - driverless cars, smarter, safer and affordable, assisted features, cognitive predictive maintenance.

Sample Infographics:



Market Dynamics:
1. Market Drivers
1.1 Rising demand for premium segment vehicles
1.2 Increasing trend of autonomous vehicle
1.3 Growing demand for enhanced user experience
1.4 Rising government regulations for vehicle safety
1.5 Growing adoption of ADAS technology
2. Market Restraints
2.1 Maintaining the Balance Between Cost and Quality
2.2 Increasing cyber security threats for vehicles
2.3 High overall cost of a vehicle

Market Segmentation:
The Global Automotive Artificial Intelligence Market is segmented on the technology, component, process, application, and region.

1. Technology:
1.1 Computer Vision
1.2 Natural Language Processing
1.3 Deep Learning
1.4 Machine Learning
1.5 Context Awareness

2. By Component:
2.1 Software
2.2 Hardware

3. By Process:
3.1 Image Recognition
3.2 Data Mining
3.3 Signal Recognition

4. By Application:
4.1 Semi-autonomous Driving
4.2 Autonomous Driving
4.3 Human-Machine Interface

5. By Region:
5.1 North America (U.S., Canada, Mexico)
5.2 Europe (Germany, UK, France, Rest of Europe)
5.3 Asia Pacific (China, India, Japan, Rest of Asia Pacific)
5.4 Latin America (Brazil, Argentina, Rest of Latin America)
5.5 Middle East & Africa

Competitive Landscape:
The major players in the market are as follows:
1. Intel Corporation
2. NVIDIA Corporation
3. Alphabet Inc.
4. IBM Corporation
5. Microsoft Corporation
6. Harman International Industries, Inc.
7. Qualcomm Inc.
8. Tesla, Inc.
9. Xilinx Inc.
10. Audi AG
11. Volvo Car Corporation
12. Toyota Motor Corporation
13. Hyundai Motor Company
14. Ford Motor Company
15. Honda Motor Co. Ltd.
16. Uber Technologies, Inc.
17. Daimler AG
18. Didi Chuxing
19. General Motors Company
20. Bayerische Motoren Werke AG

These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.

RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE:
Research study on the Global Automotive Artificial Intelligence Market was performed in five phases which include Secondary research, Primary research, subject matter expert advice, quality check and final review.
The market data was analyzed and forecasted using market statistical and coherent models. Also market shares and key trends were taken into consideration while making the report. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis.

To know more about the Research Methodology of Verified Market Intelligence and other aspects of the research study, kindly get in touch with our sales team.
1 INTRODUCTION OF GLOBAL AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET
1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET OUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
4.5 Regulatory Framework

5 GLOBAL AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET , BY TECHNOLOGY
5.1 Overview
5.2 Computer Vision
5.3 Natural Language Processing
5.4 Deep Learning
5.5 Machine Learning
5.6 Context Awareness

6 GLOBAL AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET , BY COMPONENT
6.1 Overview
6.2 Software
6.3 Hardware

7 GLOBAL AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET , BY PROCESS METHOD
7.1 Overview
7.2 Image Recognition
7.3 Data Mining
7.4 Signal Recognition
8 GLOBAL AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET , BY APPLICATION METHOD
8.1 Overview
8.2 Semi-autonomous Driving
8.3 Autonomous Driving
8.4 Human-Machine Interface

9 GLOBAL AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET , BY GEOGRAPHY
9.1 Overview
9.2 North America Regional Market Estimates and Forecasts, 2012 - 2025
9.2.1 U.S.
9.2.2 Canada
9.2.3 Mexico
9.3 Europe Regional Market Estimates and Forecasts, 2012 - 2025
9.3.1 Germany
9.3.2 U.K.
9.3.3 France
9.3.4 Rest of Europe
9.4 Asia Pacific Regional Market Estimates and Forecasts, 2012 - 2025
9.4.1 China
9.4.2 Japan
9.4.3 India
9.4.4 Rest of Asia Pacific
9.5 Latin America Regional Market Estimates and Forecasts, 2012 - 2025
9.5.1 Brazil
9.5.2 Argentina
9.6 Rest of the World Regional Market Estimates and Forecasts, 2012 - 2025

10 GLOBAL AUTOMOTIVE ARTIFICIAL INTELLIGENCE MARKET COMPETITIVE LANDSCAPE
10.1 Overview
10.2 Company Market Share
10.3 Vendor Landscape
10.4 Key Development Strategies

11 COMPANY PROFILES
11.1 Intel Corporation
11.1.1 Overview
11.1.2 Financial Performance
11.1.3 Product Outlook
11.1.4 Key Developments

11.2 NVIDIA Corporation
11.2.1 Overview
11.2.2 Financial Performance
11.2.3 Product Outlook
11.2.4 Key Developments

11.3 Alphabet Inc.
11.3.1 Overview
11.3.2 Financial Performance
11.3.3 Product Outlook
11.3.4 Key Developments

11.4 IBM Corporation
11.4.1 Overview
11.4.2 Financial Performance
11.4.3 Product Outlook
11.4.4 Key Developments

11.5 Microsoft Corporation
11.5.1 Overview
11.5.2 Financial Performance
11.5.3 Product Outlook
11.5.4 Key Developments

11.6 Harman International Industries, Inc.
11.6.1 Overview
11.6.2 Financial Performance
11.6.3 Product Outlook
11.6.4 Key Developments

11.7 Qualcomm Inc.
11.7.1 Overview
11.7.2 Financial Performance
11.7.3 Product Outlook
11.7.4 Key Developments

11.8 Tesla, Inc.
11.8.1 Overview
11.8.2 Financial Performance
11.8.3 Product Outlook
11.8.4 Key Developments

11.9 Xilinx Inc.
11.9.1 Overview
11.9.2 Financial Performance
11.9.3 Product Outlook
11.9.4 Key Developments

11.10 Audi AG
11.10.1 Overview
11.10.2 Financial Performance
11.10.3 Product Outlook
11.10.4 Key Developments

11.11 Volvo Car Corporation
11.11.1 Overview
11.11.2 Financial Performance
11.11.3 Product Outlook
11.11.4 Key Developments
11.12 Toyota Motor Corporation
11.12.1 Overview
11.12.2 Financial Performance
11.12.3 Product Outlook
11.12.4 Key Developments

11.13 Hyundai Motor Company
11.13.1 Overview
11.13.2 Financial Performance
11.13.3 Product Outlook
11.13.4 Key Developments

11.14 Ford Motor Company
11.14.1 Overview
11.14.2 Financial Performance
11.14.3 Product Outlook
11.14.4 Key Developments

11.15 Honda Motor Co. Ltd.
11.15.1 Overview
11.15.2 Financial Performance
11.15.3 Product Outlook
11.15.4 Key Developments
11.16 Uber Technologies, Inc.
11.16.1 Overview
11.16.2 Financial Performance
11.16.3 Product Outlook
11.16.4 Key Developments
11.17 Daimler AG
11.17.1 Overview
11.17.2 Financial Performance
11.17.3 Product Outlook
11.17.4 Key Developments

11.18 Didi Chuxing
11.18.1 Overview
11.18.2 Financial Performance
11.18.3 Product Outlook
11.18.4 Key Developments

11.19 General Motors Company
11.19.1 Overview
11.19.2 Financial Performance
11.19.3 Product Outlook
11.19.4 Key Developments

11.20 Bayerische Motoren Werke AG
11.20.1 Overview
11.20.2 Financial Performance
11.20.3 Product Outlook
11.20.4 Key Developments

12 Appendix
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