Automotive Artificial Intelligence Market Research Report by Technology (Computer Vision, Context Awareness, Deep Learning, Machine Learning, and Natural Language Processing), by Process (Data Mining, Image Recognition, and Signal Recognition), by Offerin

Automotive Artificial Intelligence Market Research Report by Technology (Computer Vision, Context Awareness, Deep Learning, Machine Learning, and Natural Language Processing), by Process (Data Mining, Image Recognition, and Signal Recognition), by Offerings, by Application - Global Forecast to 2025 - Cumulative Impact of COVID-19

The Global Automotive Artificial Intelligence Market is expected to grow from USD 950.60 Million/EUR 833.50 Million in 2020 to USD 3,967.57 Million/EUR 3,478.84 by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 33.07%.

Market Segmentation & Coverage:

This research report categorizes the Automotive Artificial Intelligence to forecast the revenues and analyze the trends in each of the following sub-markets:

Based on Technology, the Automotive Artificial Intelligence Market studied across Computer Vision, Context Awareness, Deep Learning, Machine Learning, and Natural Language Processing.

Based on Process, the Automotive Artificial Intelligence Market studied across Data Mining, Image Recognition, and Signal Recognition.

Based on Offerings, the Automotive Artificial Intelligence Market studied across Hardware and Software. The Hardware further studied across Neuromorphic Architecture and Von Neumann Architecture. The Software further studied across Platforms and Solutions.

Based on Application, the Automotive Artificial Intelligence Market studied across Autonomous Vehicle, Human–Machine Interface, and Semi-Autonomous Driving.

Based on Geography, the Automotive Artificial Intelligence Market studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region surveyed across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region surveyed across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region surveyed across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Company Usability Profiles:

The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Automotive Artificial Intelligence Market including Alphabet Inc., Audi AG, Bayerische Motoren Werke AG, Ford Motor Company, General Motors Company, Harman International Industries, Inc., Intel Corporation, International Business Machines Corporation, Microsoft Corporation, NVIDIA Corporation, Qualcomm Inc., Tesla, Inc., Toyota Motor Corporation, Volvo Car Corporation, and Xilinx Inc..

FPNV Positioning Matrix:

The FPNV Positioning Matrix evaluates and categorizes the vendors in the Automotive Artificial Intelligence Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Competitive Strategic Window:

The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.

Cumulative Impact of COVID-19:

COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.

The report provides insights on the following pointers:

1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments

The report answers questions such as:

1. What is the market size and forecast of the Global Automotive Artificial Intelligence Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Automotive Artificial Intelligence Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Automotive Artificial Intelligence Market?
4. What is the competitive strategic window for opportunities in the Global Automotive Artificial Intelligence Market?
5. What are the technology trends and regulatory frameworks in the Global Automotive Artificial Intelligence Market?
6. What are the modes and strategic moves considered suitable for entering the Global Automotive Artificial Intelligence Market?


1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Stakeholders
2. Research Methodology
2.1. Research Process
2.1.1. Define: Research Objective
2.1.2. Determine: Research Design
2.1.3. Prepare: Research Instrument
2.1.4. Collect: Data Source
2.1.5. Analyze: Data Interpretation
2.1.6. Formulate: Data Verification
2.1.7. Publish: Research Report
2.1.8. Repeat: Report Update
2.2. Research Execution
2.2.1. Initiation: Research Process
2.2.2. Planning: Develop Research Plan
2.2.3. Execution: Conduct Research
2.2.4. Verification: Finding & Analysis
2.2.5. Publication: Research Report
2.3. Research Outcome
3. Executive Summary
3.1. Introduction
3.2. Market Outlook
3.3. Process Outlook
3.4. Technology Outlook
3.5. Application Outlook
3.6. Offerings Outlook
3.7. Geography Outlook
3.8. Competitor Outlook
4. Market Overview
4.1. Introduction
4.2. Cumulative Impact of COVID-19
4.3. Geographic Growth Opportunities
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increasing government regulations for vehicle safety coupled with the adoption of ADAS technology by OEMs
5.1.1.2. Increasing demand for the advanced convenient features and enhanced user experience
5.1.1.3. Growing adoption of autonomous vehicle
5.1.2. Restraints
5.1.2.1. Expensive implementation options
5.1.3. Opportunities
5.1.3.1. Increasing demand for premium segment vehicles
5.1.3.2. Integration of sensor technology
5.1.4. Challenges
5.1.4.1. Cybersecurity concern associated with the vehicles
5.2. Porters Five Forces Analysis
5.2.1. Threat of New Entrants
5.2.2. Threat of Substitutes
5.2.3. Bargaining Power of Customers
5.2.4. Bargaining Power of Suppliers
5.2.5. Industry Rivalry
6. Global Automotive Artificial Intelligence Market, By Technology
6.1. Introduction
6.2. Computer Vision
6.3. Context Awareness
6.4. Deep Learning
6.5. Machine Learning
6.6. Natural Language Processing
7. Global Automotive Artificial Intelligence Market, By Process
7.1. Introduction
7.2. Data Mining
7.3. Image Recognition
7.4. Signal Recognition
8. Global Automotive Artificial Intelligence Market, By Offerings
8.1. Introduction
8.2. Hardware
8.2.1. Neuromorphic Architecture
8.2.2. Von Neumann Architecture
8.3. Software
8.3.1. Platforms
8.3.2. Solutions
9. Global Automotive Artificial Intelligence Market, By Application
9.1. Introduction
9.2. Autonomous Vehicle
9.3. Human–Machine Interface
9.4. Semi-Autonomous Driving
10. Americas Automotive Artificial Intelligence Market
10.1. Introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States
11. Asia-Pacific Automotive Artificial Intelligence Market
11.1. Introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. South Korea
11.10. Thailand
12. Europe, Middle East & Africa Automotive Artificial Intelligence Market
12.1. Introduction
12.2. France
12.3. Germany
12.4. Italy
12.5. Netherlands
12.6. Qatar
12.7. Russia
12.8. Saudi Arabia
12.9. South Africa
12.10. Spain
12.11. United Arab Emirates
12.12. United Kingdom
13. Competitive Landscape
13.1. FPNV Positioning Matrix
13.1.1. Quadrants
13.1.2. Business Strategy
13.1.3. Product Satisfaction
13.2. Market Ranking Analysis
13.3. Market Share Analysis
13.4. Competitive Scenario
13.4.1. Merger & Acquisition
13.4.2. Agreement, Collaboration, & Partnership
13.4.3. New Product Launch & Enhancement
13.4.4. Investment & Funding
13.4.5. Award, Recognition, & Expansion
14. Company Usability Profiles
14.1. Alphabet Inc.
14.2. Audi AG
14.3. Bayerische Motoren Werke AG
14.4. Ford Motor Company
14.5. General Motors Company
14.6. Harman International Industries, Inc.
14.7. Intel Corporation
14.8. International Business Machines Corporation
14.9. Microsoft Corporation
14.10. NVIDIA Corporation
14.11. Qualcomm Inc.
14.12. Tesla, Inc.
14.13. Toyota Motor Corporation
14.14. Volvo Car Corporation
14.15. Xilinx Inc.
15. Appendix
15.1. Discussion Guide

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