Automotive computer science is predicted to witness vital growth within the close to future. To boot with major players within the automotive trade heavily finance in development of computer science for cars, the trade wide customary like the adjective control, advanced driver help systems and blind spot alert would additional trigger the growth within the automotive computer science market.
How Big is The Global Automotive Artificial Intelligence Market?
The Automotive Artificial Intelligence Market is expected to be around US$ 14.5 Billion by 2025 at a CAGR of 37.5% in the given forecast period.
The major driving factors of Automotive Artificial Intelligence Market are as follows:
The major restraining factors of Automotive Artificial Intelligence Market are as follows:
The Automotive Artificial Intelligence Market has been segmented as below:
By Technology:
By Offering:
By Process:
By Application:
The Automotive Artificial Intelligence Market is segmented on the lines of its offering, application, technology, process and regional. On the basis of offering, the market can be categorised into software and hardware. On the basis of application, Automotive Artificial Intelligence Market can be segmented into Human–Machine Interface, Semi-Autonomous Driving and Autonomous Vehicle. On the basis of technology can be segmented into Deep Learning, Machine Learning, Computer Vision, Context Awareness and Natural Language Processing. Based on process it covers Signal Recognition, Image Recognition and Data Mining. The Automotive Artificial Intelligence Market on geographic segmentation covers various regions such as North America, Europe, Asia Pacific, Latin America, Middle East and Africa. Each geographic market is further segmented to provide market revenue for select countries such as the U.S., Canada, U.K. Germany, China, Japan, India, Brazil, and GCC countries.
This report provides:
1) An overview of the global market for Automotive Artificial Intelligence Market and related technologies.
2) Analyses of global market trends, with data from 2016, estimates for 2017 and 2018, and projections of compound annual growth rates (CAGRs) through 2025.
3) Identifications of new market opportunities and targeted promotional plans for Automotive Artificial Intelligence Market
4) Discussion of research and development, and the demand for new products and new applications.
5) Comprehensive company profiles of major players in the industry.
Report Scope:
The scope of the report includes a detailed study of Automotive Artificial Intelligence Market with the reasons given for variations in the growth of the industry in certain regions.
The report covers detailed competitive outlook including the market share and company profiles of the key participants operating in the global market. Key players profiled in the report include NVIDIA Corporation, Volvo Car Corporation, Audi AG, Microsoft Corporation, Harman International Industries, Inc., Xilinx Inc., General Motors Company, Daimler AG, Uber Technologies, Inc., Didi Chuxing, Tesla, Inc. Ford Motor Company, Toyota Motor Corporation, Intel Corporation, Alphabet Inc., Microsoft Corporation etc. Company profile includes assign such as company summary, financial summary, business strategy and planning, SWOT analysis and current developments.
The Top Companies Report is intended to provide our buyers with a snapshot of the industry’s most influential players.
Reasons to Buy this Report:
1) Obtain the most up to date information available on all Automotive Artificial Intelligence Market.
2) Identify growth segments and opportunities in the industry.
3) Facilitate decision making on the basis of strong historic and forecast of Automotive Artificial Intelligence Market.
4) Assess your competitor’s refining portfolio and its evolution.
Customization:
We can offer you custom research reports as per client’s special requirements.
1. Introduction
1.1. Key Take Aways
1.2. Report Description
1.3. Markets Covered
1.4. Stakeholders
2. Research Methodology
2.1. Research Scope
2.2. Research Methodology
2.2.1. Market Research Process
2.2.2. Research Methodology
2.2.2.1. Secondary Research
2.2.2.2. Primary Research
2.2.2.3. Models for Estimation
2.3. Market Size Estimation
2.3.1. Bottom-Up Approach
2.3.2. Top-Down Approach
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Drivers
4.3. Restraints
5. Automotive Artificial Intelligence Market, By Offering
5.1. Key Points
5.2. Software
5.3. Hardware
6. Automotive Artificial Intelligence Market, By Process
6.1. Key Points
6.2. Image Recognition
6.3. Data Mining
6.4. Signal Recognition
7. Automotive Artificial Intelligence Market, By Application
7.1. Key Points
7.2. Autonomous Driving
7.3. Semi-autonomous Driving
7.4. Human–Machine Interface
8. Automotive Artificial Intelligence Market, By Technology
8.1. Key Points
8.2. Machine Learning
8.3. Context Awareness
8.4. Computer Vision
8.5. Deep Learning
8.6. Natural Language Processing
9. Automotive Artificial Intelligence Market, By Region
9.1. Key Points
9.2. North America
9.2.1. U.S
9.2.2. Canada
9.3. Europe
9.3.1. Germany
9.3.2. U.K
9.3.3. France
9.3.4. Italy
9.3.5. Spain
9.3.6. Netherlands
9.3.7. Belgium
9.3.8. Rest of Europe
9.4. Asia Pacific
9.4.1. China
9.4.2. India
9.4.3. Japan
9.4.4. Australia
9.4.5. Rest of Asia Pacific
9.5. Rest of World
9.6. Competitive Landscape
9.7. Introduction
9.8. Recent Developments
9.8.1. Mergers & Acquisitions
9.8.2. New Product Developments
9.8.3. Portfolio/Production Capacity Expansions
9.8.4. Joint Ventures, Collaborations, Partnerships & Agreements
9.8.5. Others
10. Company Profile
10.1. Volvo Car Corporation
10.1.1. Company Overview
10.1.2. Product/Service Landscape
10.1.3. Financial Overview
10.1.4. Recent Developments
10.2. Bayerische Motoren Werke AG
10.2.1. Company Overview
10.2.2. Product/Service Landscape
10.2.3. Financial Overview
10.2.4. Recent Developments
10.3. Audi AG
10.3.1. Company Overview
10.3.2. Product/Service Landscape
10.3.3. Financial Overview
10.3.4. Recent Developments
10.4. General Motors Company
10.4.1. Company Overview
10.4.2. Product/Service Landscape
10.4.3. Financial Overview
10.4.4. Recent Developments
10.5. Ford Motor Company
10.5.1. Company Overview
10.5.2. Product/Service Landscape
10.5.3. Financial Overview
10.5.4. Recent Developments
10.6. NVIDIA Corporation
10.6.1. Company Overview
10.6.2. Product/Service Landscape
10.6.3. Financial Overview
10.6.4. Recent Developments
10.7. Alphabet Inc.
10.7.1. Company Overview
10.7.2. Product/Service Landscape
10.7.3. Financial Overview
10.7.4. Recent Developments
10.8. Intel Corporation
10.8.1. Company Overview
10.8.2. Product/Service Landscape
10.8.3. Financial Overview
10.8.4. Recent Developments
10.9. Microsoft Corporation
10.9.1. Company Overview
10.9.2. Product/Service Landscape
10.9.3. Financial Overview
10.9.4. Recent Developments
10.10. International Business Machines Corporation
10.10.1. Company Overview
10.10.2. Product/Service Landscape
10.10.3. Financial Overview
10.10.4. Recent Developments
10.11. Harman International Industries, Inc.
10.11.1. Company Overview
10.11.2. Product/Service Landscape
10.11.3. Financial Overview
10.11.4. Recent Developments
10.12. Xilinx Inc.
10.12.1. Company Overview
10.12.2. Product/Service Landscape
10.12.3. Financial Overview
10.12.4. Recent Developments
10.13. Qualcomm Inc.
10.13.1. Company Overview
10.13.2. Product/Service Landscape
10.13.3. Financial Overview
10.13.4. Recent Developments
10.14. Tesla, Inc.
10.14.1. Company Overview
10.14.2. Product/Service Landscape
10.14.3. Financial Overview
10.14.4. Recent Developments
10.15. Honda Motor Co. Ltd.
10.15.1. Company Overview
10.15.2. Product/Service Landscape
10.15.3. Financial Overview
10.15.4. Recent Developments
10.16. Hyundai Motor Company
10.16.1. Company Overview
10.16.2. Product/Service Landscape
10.16.3. Financial Overview
10.16.4. Recent Developments
10.17. Daimler AG
10.17.1. Company Overview
10.17.2. Product/Service Landscape
10.17.3. Financial Overview
10.17.4. Recent Developments
10.18. Uber Technologies, Inc.
10.18.1. Company Overview
10.18.2. Product/Service Landscape
10.18.3. Financial Overview
10.18.4. Recent Developments
10.19. Didi Chuxing
10.19.1. Company Overview
10.19.2. Product/Service Landscape
10.19.3. Financial Overview
10.19.4. Recent Developments
The Automotive Artificial Intelligence Market has been segmented as below:
By Technology:
By Offering:
By Process:
By Application:
By Regional Analysis:
North America
Europe
Asia-Pacific
Rest of the World
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