Automotive Artificial Intelligence (AI) Market Size 2021-2030

The global automotive artificial intelligence market size accounted for US$ 2.9 billion in 2021 and is projected to reach around USD 19.1 billion by 2030, growing at a CAGR of 23.3% from 2022 to 2030.

Automotive Artificial Intelligence Market Key Takeaways:

• The hardware segment is projected to dominate the market with a share of over 58%.
• The Asia Pacific accounted for a revenue share of more than 80% of the overall market in 2021.
• By application, the semi-autonomous segment held 53% revenue share in 2021
• By technology, computer vision segment accounted highest revenue share of over 34% in 2021.

Report Summary

The global automotive artificial intelligence market report provides a Point-by-Point and In-Depth analysis of global market size, regional and country-level market size, market share, segmentation market growth, competitive landscape, sales analysis, opportunities analysis, strategic market growth analysis, the impact of domestic and global market key players, value chain optimization, trade regulations, recent developments, product launches, area marketplace expanding, and technological innovations.

The study offers a comprehensive analysis on diverse features, including production capacities, demand, product developments, revenue generation, and sales in the automotive artificial intelligence market across the globe.

A comprehensive estimate on the automotive artificial intelligence market has been provided through an optimistic scenario as well as a conservative scenario, taking into account the sales of automotive artificial intelligence during the forecast period. Price point comparison by region with global average price is also considered in the study.

Automotive Artificial Intelligence (AI) Market Scope

Key Highlights:

Reports Coverage: It incorporates key market sections, key makers secured, the extent of items offered in the years considered, worldwide containerized automotive artificial intelligence market and study goals. Moreover, it contacts the division study gave in the report based on the sort of item and applications.

Market Outline: This area stresses the key investigations, market development rate, serious scene, market drivers, patterns, and issues notwithstanding the naturally visible pointers.

Market Production by Region: The report conveys information identified with import and fare, income, creation, and key players of every single local market contemplated are canvassed right now.

Also Read: IoT Based Asset Tracking and Monitoring Market Size 2021-2030

Automotive Artificial Intelligence Market Players

The report includes the profiles of key automotive artificial intelligence market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information, key development in past five years.

Major companies operating in this area are:

• Intel Corporation
• Waymo, LLC.
• IBM Corporation
• Microsoft Corporation
• Nvidia Corporation
• Xilinx, Inc.
• Micron Technology, Inc.
• Tesla, Inc.
• General Motors Company
• Ford Motor Company

Market Segmentation

By Offering

• Hardware
• Software
• Service

By Technology  

• Computer Vision
• Context Awareness
• Deep Learning
• Machine Learning
• Natural Language Processing

By Application  

• Autonomous Driving
• Human–Machine Interface
• Semi-autonomous Driving

By Process

• Signal Recognition
• Image Recognition
• Voice Recognition
• Data Mining

By Component

• Graphics processing unit (GPU)
• Field Programmable Gate Array (FPGA)
• Microprocessors (Incl. ASIC)
• Image Sensors
• Memory and Storage systems
• Biometric Scanners
• Others

Regional Segmentation

• North America (U.S., Canada, Mexico)
• Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
• Asia-Pacific (China, Japan, India, Southeast Asia and Rest of APAC)
• Latin America (Brazil and Rest of Latin America)
• Middle East and Africa (GCC, North Africa, South Africa, Rest of MEA)

Research Methodology

Secondary Research

It involves company databases such as Hoover’s: This assists us to recognize financial information, the structure of the market participants and industry’s competitive landscape.

The secondary research sources referred in the process are as follows:

• Governmental bodies, and organizations creating economic policies
• National and international social welfare institutions
• Company websites, financial reports and SEC filings, broker and investor reports
• Related patent and regulatory databases
• Statistical databases and market reports
• Corporate Presentations, news, press release, and specification sheet of Manufacturers

Primary Research

Primary research includes face-to-face interviews, online surveys, and telephonic interviews.

• Means of primary research: Email interactions, telephonic discussions and Questionnaire-based research etc.
• In order to validate our research findings and analysis, we conduct primary interviews of key industry participants. Insights from primary respondents help in validating the secondary research findings. It also develops Research Team’s expertise and market understanding.

TABLE OF CONTENT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Automotive Artificial Intelligence (AI) Market 

5.1. COVID-19 Landscape: Automotive Artificial Intelligence (AI) Industry Impact

5.2. COVID 19 – Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Automotive Artificial Intelligence (AI) Market, By Offering

8.1. Automotive Artificial Intelligence (AI) Market, by Offering, 2022-2030

8.1.1. Hardware

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Software

8.1.2.1. Market Revenue and Forecast (2017-2030)

8.1.3. Service

8.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Automotive Artificial Intelligence (AI) Market, By Technology

9.1. Automotive Artificial Intelligence (AI) Market, by Technology, 2022-2030

9.1.1. Computer Vision

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Context Awareness

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Deep Learning

9.1.3.1. Market Revenue and Forecast (2017-2030)

9.1.4. Machine Learning

9.1.4.1. Market Revenue and Forecast (2017-2030)

9.1.5. Natural Language Processing

9.1.5.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Automotive Artificial Intelligence (AI) Market, By Application 

10.1. Automotive Artificial Intelligence (AI) Market, by Application, 2022-2030

10.1.1. Autonomous Driving

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Human–Machine Interface

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. Semi-autonomous Driving

10.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Automotive Artificial Intelligence (AI) Market, By Process

11.1. Automotive Artificial Intelligence (AI) Market, by Process, 2022-2030

11.1.1. Signal Recognition

11.1.1.1. Market Revenue and Forecast (2017-2030)

11.1.2. Image Recognition

11.1.2.1. Market Revenue and Forecast (2017-2030)

11.1.3. Voice Recognition

11.1.3.1. Market Revenue and Forecast (2017-2030)

11.1.4. Data Mining

11.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 12. Global Automotive Artificial Intelligence (AI) Market, By Component

12.1. Automotive Artificial Intelligence (AI) Market, by Component, 2022-2030

12.1.1. Graphics processing unit (GPU)

12.1.1.1. Market Revenue and Forecast (2017-2030)

12.1.2. Field Programmable Gate Array (FPGA)

12.1.2.1. Market Revenue and Forecast (2017-2030)

12.1.3. Microprocessors (Incl. ASIC)

12.1.3.1. Market Revenue and Forecast (2017-2030)

12.1.4. Image Sensors

12.1.4.1. Market Revenue and Forecast (2017-2030)

12.1.5. Memory and Storage systems

12.1.5.1. Market Revenue and Forecast (2017-2030)

12.1.6. Biometric Scanners

12.1.6.1. Market Revenue and Forecast (2017-2030)

12.1.7. Others

12.1.7.1. Market Revenue and Forecast (2017-2030)

Chapter 13. Global Automotive Artificial Intelligence (AI) Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Offering (2017-2030)

13.1.2. Market Revenue and Forecast, by Technology (2017-2030)

13.1.3. Market Revenue and Forecast, by Application (2017-2030)

13.1.4. Market Revenue and Forecast, by Process (2017-2030)

13.1.5. Market Revenue and Forecast, by Component (2017-2030)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.1.6.2. Market Revenue and Forecast, by Technology (2017-2030)

13.1.6.3. Market Revenue and Forecast, by Application (2017-2030)

13.1.6.4. Market Revenue and Forecast, by Process (2017-2030)

13.1.6.5. Market Revenue and Forecast, by Component (2017-2030)

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Forecast, by Offering (2017-2030)

13.1.7.2. Market Revenue and Forecast, by Technology (2017-2030)

13.1.7.3. Market Revenue and Forecast, by Application (2017-2030)

13.1.7.4. Market Revenue and Forecast, by Process (2017-2030)

13.1.7.5. Market Revenue and Forecast, by Component (2017-2030)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.2. Market Revenue and Forecast, by Technology (2017-2030)

13.2.3. Market Revenue and Forecast, by Application (2017-2030)

13.2.4. Market Revenue and Forecast, by Process (2017-2030)

13.2.5. Market Revenue and Forecast, by Component (2017-2030)

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.6.2. Market Revenue and Forecast, by Technology (2017-2030)

13.2.6.3. Market Revenue and Forecast, by Application (2017-2030)

13.2.7. Market Revenue and Forecast, by Process (2017-2030)

13.2.8. Market Revenue and Forecast, by Component (2017-2030)

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.9.2. Market Revenue and Forecast, by Technology (2017-2030)

13.2.9.3. Market Revenue and Forecast, by Application (2017-2030)

13.2.10. Market Revenue and Forecast, by Process (2017-2030)

13.2.11. Market Revenue and Forecast, by Component (2017-2030)

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.12.2. Market Revenue and Forecast, by Technology (2017-2030)

13.2.12.3. Market Revenue and Forecast, by Application (2017-2030)

13.2.12.4. Market Revenue and Forecast, by Process (2017-2030)

13.2.13. Market Revenue and Forecast, by Component (2017-2030)

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.14.2. Market Revenue and Forecast, by Technology (2017-2030)

13.2.14.3. Market Revenue and Forecast, by Application (2017-2030)

13.2.14.4. Market Revenue and Forecast, by Process (2017-2030)

13.2.15. Market Revenue and Forecast, by Component (2017-2030)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.2. Market Revenue and Forecast, by Technology (2017-2030)

13.3.3. Market Revenue and Forecast, by Application (2017-2030)

13.3.4. Market Revenue and Forecast, by Process (2017-2030)

13.3.5. Market Revenue and Forecast, by Component (2017-2030)

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.6.2. Market Revenue and Forecast, by Technology (2017-2030)

13.3.6.3. Market Revenue and Forecast, by Application (2017-2030)

13.3.6.4. Market Revenue and Forecast, by Process (2017-2030)

13.3.7. Market Revenue and Forecast, by Component (2017-2030)

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.8.2. Market Revenue and Forecast, by Technology (2017-2030)

13.3.8.3. Market Revenue and Forecast, by Application (2017-2030)

13.3.8.4. Market Revenue and Forecast, by Process (2017-2030)

13.3.9. Market Revenue and Forecast, by Component (2017-2030)

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.10.2. Market Revenue and Forecast, by Technology (2017-2030)

13.3.10.3. Market Revenue and Forecast, by Application (2017-2030)

13.3.10.4. Market Revenue and Forecast, by Process (2017-2030)

13.3.10.5. Market Revenue and Forecast, by Component (2017-2030)

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.11.2. Market Revenue and Forecast, by Technology (2017-2030)

13.3.11.3. Market Revenue and Forecast, by Application (2017-2030)

13.3.11.4. Market Revenue and Forecast, by Process (2017-2030)

13.3.11.5. Market Revenue and Forecast, by Component (2017-2030)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.2. Market Revenue and Forecast, by Technology (2017-2030)

13.4.3. Market Revenue and Forecast, by Application (2017-2030)

13.4.4. Market Revenue and Forecast, by Process (2017-2030)

13.4.5. Market Revenue and Forecast, by Component (2017-2030)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.6.2. Market Revenue and Forecast, by Technology (2017-2030)

13.4.6.3. Market Revenue and Forecast, by Application (2017-2030)

13.4.6.4. Market Revenue and Forecast, by Process (2017-2030)

13.4.7. Market Revenue and Forecast, by Component (2017-2030)

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.8.2. Market Revenue and Forecast, by Technology (2017-2030)

13.4.8.3. Market Revenue and Forecast, by Application (2017-2030)

13.4.8.4. Market Revenue and Forecast, by Process (2017-2030)

13.4.9. Market Revenue and Forecast, by Component (2017-2030)

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.10.2. Market Revenue and Forecast, by Technology (2017-2030)

13.4.10.3. Market Revenue and Forecast, by Application (2017-2030)

13.4.10.4. Market Revenue and Forecast, by Process (2017-2030)

13.4.10.5. Market Revenue and Forecast, by Component (2017-2030)

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.11.2. Market Revenue and Forecast, by Technology (2017-2030)

13.4.11.3. Market Revenue and Forecast, by Application (2017-2030)

13.4.11.4. Market Revenue and Forecast, by Process (2017-2030)

13.4.11.5. Market Revenue and Forecast, by Component (2017-2030)

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Offering (2017-2030)

13.5.2. Market Revenue and Forecast, by Technology (2017-2030)

13.5.3. Market Revenue and Forecast, by Application (2017-2030)

13.5.4. Market Revenue and Forecast, by Process (2017-2030)

13.5.5. Market Revenue and Forecast, by Component (2017-2030)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.5.6.2. Market Revenue and Forecast, by Technology (2017-2030)

13.5.6.3. Market Revenue and Forecast, by Application (2017-2030)

13.5.6.4. Market Revenue and Forecast, by Process (2017-2030)

13.5.7. Market Revenue and Forecast, by Component (2017-2030)

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Offering (2017-2030)

13.5.8.2. Market Revenue and Forecast, by Technology (2017-2030)

13.5.8.3. Market Revenue and Forecast, by Application (2017-2030)

13.5.8.4. Market Revenue and Forecast, by Process (2017-2030)

13.5.8.5. Market Revenue and Forecast, by Component (2017-2030)

Chapter 14. Company Profiles

14.1. Intel Corporation

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. Waymo, LLC.

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. IBM Corporation

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Microsoft Corporation

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Nvidia Corporation

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. Xilinx, Inc.

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. Micron Technology, Inc.

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Tesla, Inc.

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. General Motors Company

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. Ford Motor Company

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

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