The automotive artificial intelligence (AI) market would grow at a CAGR of 23.3% over the predicted time frame. The market is expected to increase in value from US$ 3.58 Bn in 2022 to US$ 19.1Bn in 2030.
The on automotive artificial intelligence (AI) Market, which provides a business strategy, research & development activities, concise outline of the market valuation, valuable insights pertaining to market share, size, supply chain analysis, competitive landscape and regional proliferation of this industry.
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Report Scope of the Automotive Artificial Intelligence (AI) Market
| Report Coverage | Details |
| Market Size in 2022 |
USD 3.58 Billion |
| Market Size by 2030 |
USD 19.1 Billion |
| Growth Rate from 2022 to 2030 | CAGR of 23.3% |
| Base Year | 2021 |
| Forecast Period | 2022 to 2030 |
| Segments Covered | Offering, Technology, Application, Process, Component, and Geography |
A recent report provides crucial insights along with application based and forecast information in the Global Automotive artificial intelligence (AI) Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the Automotive artificial intelligence (AI) market.
A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period.
Companies and Manufacturers Covered
The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analysed and prime business strategies and products that offer high revenue generation capacities were identified. Key players of the global Automotive artificial intelligence (AI) market are included as given below:
Automotive artificial intelligence (AI) Market Key Players
- Intel Corporation
- Waymo, LLC.
- IBM Corporation
- Microsoft Corporation
- Nvidia Corporation
- Xilinx, Inc.
- Micron Technology, Inc.
- Tesla, Inc.
- General Motors Company
- Ford Motor Company
Market Segments
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
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East & Africa (MEA)
Report Objectives
- To define, describe, and forecast the global automotive artificial intelligence (AI) market based on product, and region
- To provide detailed information regarding the major factors influencing the growth of the market (drivers, opportunities, and industry-specific challenges)
- To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
- To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
- To forecast the size of market segments with respect to four main regions—North America, Europe, Asia Pacific and the Rest of the World (RoW)2
- To strategically profile key players and comprehensively analyze their product portfolios, market shares, and core competencies3
- To track and analyze competitive developments such as acquisitions, expansions, new product launches, and partnerships in the automotive artificial intelligence (AI) market
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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