According to the new research report published by Precedence Research, titled “Automotive Artificial Intelligence Market (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) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2022-2030”, the global automotive artificial intelligence market size is expected to be worth around US$ 2.9 billion by 2030 and is poised to record a yearly growth rate of 23.3% from 2022 to 2030. The study investigates several elements and their consequences on the growth of the all-wheel drive market.
This report focuses on automotive artificial intelligence market volume and value at the global level, regional level and company level. From a global perspective, this report represents the overall automotive artificial intelligence market size by analyzing historical data and future prospects. Regionally, this report focuses on several key regions: North America, Europe, the Middle East & Africa, Latin America, etc.
The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2030. Understanding the segments helps in identifying the importance of different factors that aid the market growth.
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The study also provides important advancements in organic and inorganic growth strategies in the worldwide automotive artificial intelligence market. A lot of corporations are prioritizing new launches, product approvals, and other business expansion techniques. In addition, the report offers profiles of automotive artificial intelligence market firms and market strategies. Furthermore, the research focuses on top industry participants, providing information such as company profiles, components and services offered, recent financial data, and key developments.
Market Scope
| 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 |
Market Key Players
Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the automotive artificial intelligence market.
Some of the prominent players in the automotive artificial intelligence market include:
- Intel Corporation
- Waymo, LLC.
- IBM Corporation
- Microsoft Corporation
- Nvidia Corporation
- Xilinx, Inc.
- Micron Technology, Inc.
- Tesla, Inc.
- General Motors Company
- Ford Motor Company
Market Segmentations
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, segment, and project the global market size for automotive artificial intelligence market
- To understand the structure of the market by identifying its various sub-segments
- To provide detailed information about the key factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
- To analyze the micro-markets, with respect to individual growth trends, future prospects, and their contributions to the total market
- To project the size of the market and its submarkets, in terms of value, with respect to global. (along with their respective key countries)
- To profile key players and comprehensively analyze their core competencies
- To understand the competitive landscape and identify major growth strategies adopted by players across the globe.
- To analyze the competitive developments such as expansions & investments, new product launches, mergers & acquisitions, joint ventures, and agreements
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
Why should you invest in this report?
If you are aiming to enter the global automotive artificial intelligence market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for automotive artificial intelligence are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030 so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
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