The global market for automotive artificial intelligence (AI) accounted for US$ 2,717 Mn in 2021 and is estimated to reach US$ 53,118 Mn by 2030, with a significant CAGR of 39.6% from 2022 to 2030.
Artificial intelligence has a wide range of applications in the automotive industry. AI is currently being used in the automotive industry, in areas such as design, supply chain, production, and post-production. Furthermore, AI is being used in 'driving assistance' and 'driver risk assessment' systems, which is revolutionizing the transportation industry. Artificial intelligence is also revolutionizing aftermarket services such as predictive maintenance and insurance. Experts in the automobile industry have been debating four significant disruptive trends for the past few years: autonomous driving, car networking with data sensors, electrification, and shared mobility, which is referred to as ACES. The automotive market is predicted to develop as a result of these trends, and AI is a major technology in this.
Market Growth Drivers
- Increasing government regulations for vehicle safety
- Surging adoption of ADAS technology by OEMs
- Increasing trend of autonomous vehicles
- Increase in preference for enhanced user experience and convenience features
Market Restraints
- Growing overall cost of the vehicles
- Increased cybercrime threats
Market Opportunities
- Growing demand from premium segment vehicles
- Rising investments in the autonomous vehicle technologies
Report Coverage:
| Market |
Automotive Artificial Intelligence (AI) Market
|
| Market Size 2021 |
US$ 2,717 Mn |
| Market Forecast 2028 |
US$ 53,118 Mn |
| CAGR |
39.6% During 2022 - 2030 |
| Analysis Period |
2018 - 2030 |
| Base Year |
2021 |
| Forecast Data |
2022 - 2030 |
| Segments Covered |
By Offering, By Process, By Technology, By Application, And By Geography
|
| Regional Scope |
North America, Europe, Asia Pacific, Latin America, and Middle East & Africa |
| Key Companies Profiled |
Appian, Nvidia Corporation, Alphabet Inc. (Waymo), Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Micron Technology, Inc, BMW, Uber Technologies Inc. (OTTO Motors), Tesla, Inc, and Toyota Motor Corporation.
|
Report Coverage
|
Market Trends, Drivers, Restraints, Competitive Analysis, Player Profiling, Regulation Analysis |
| Customization Scope |
10 hrs of free customization and expert consultation
|
Market Dynamics
One of the primary reasons for the impressive growth of the global automotive artificial intelligence market is that AI has helped improve vehicle and road safety concerns. Many modern vehicles include driver assistance systems, which help to save lives and avoid injuries on roads. Some driver assistance technologies are designed to alert the driver if they are about to crash, while others are designed to help avoid crashing. Thus, the advancement of vehicle technology, such as driver assistance systems and automated driving systems, aims to provide even more safety benefits.
Another major factor that is driving the market growth is the increasing trend of autonomous vehicles. Features such as automatic emergency braking (AEB) and lane departure warning (LDW) have been legislated by governments all over the world, opening the path for new technology and self-driving cars. Developing a favorable regulatory environment, government financing, and investment in digital infrastructure are projected to play a major role in favorably affecting the market growth in the coming years. With the support of new technologies, several major players are aiming to improve the experience of using autonomous vehicles. For example, in 2019, Volkswagen, the world's largest automaker, announced a partnership with Ford to invest in AI vendor Argo AI. The purpose of the alliance was to bring autonomous car technology to the United States and Europe.
However, the growing overall cost of the vehicles and increasing concerns such as cybercrime could hamper the market from growing. According to a report from the United Nations, Europol, and cybersecurity company Trend Micro, cybercriminals might use developing technologies such as artificial intelligence and machine learning to aid in attacks on self-driving cars, drones, and Internet of Things-connected vehicles.
Market Segmentation
The global automotive artificial intelligence market is categorized based on offering, process, technology, application, and geography.
Market By Offering
Based on our analysis, the hardware segment conquered a significant market share in 2021. Businesses can smoothly integrate AI in automotive, cope with business difficulties, and enforce digital transformation thanks to the growth of efficient algorithms, high-performance computer hardware, and data-powered sensors. On the other hand, the software segment is anticipated to attain a substantial growth rate throughout the forecast period 2022 – 2030. Alphabet Inc., Microsoft Corporation, IBM Corporation, and Intel Corporation are among the leaders in AI software development for the automotive industry.
Market By Process
- Image Recognition
- Signal Recognition
- Voice Recognition
- Data Mining
Data mining in the automobile industry will be the most important and fastest-growing technology in the business. When it comes to the processes and data mining in automotive industry goods with vehicle learning and optimization to be utilized in the automotive industry of the future, artificial intelligence, data science, and machine learning are the benefits and important technologies.
Market By Technology
- Computer Vision
- Context Awareness
- Deep Learning
- Machine Learning
- Natural Language Processing
Among them, the deep learning segment is likely to register a significant growth rate in the coming years. One of the primary technologies that enable self-driving is deep learning. It's a versatile instrument capable of resolving practically any issue. Self-driving cars are more powerful than ever before, thanks to today's high-performance graphics cards, computers, and massive volumes of data. It will reduce traffic congestion and improve road safety if it becomes widely adopted. Autonomous decision-making systems are what self-driving automobiles are. They can process data streams from a variety of sensors, including cameras, RADAR, GPS, LiDAR, and inertia sensors. This information is then modelled using deep learning algorithms, which make decisions based on the car's current environment.
Market By Application
- Autonomous Driving
- Semi-Autonomous Driving
- Human–Machine Interface
Among all of them, the human-machine interface segment conquered the market with noteworthy shares in 2021. In the last few years, automotive HMI has advanced dramatically, with disruptive technologies such as voice recognition and gesture detection being deployed in a variety of devices. This is a burgeoning market where cutting-edge AI technology is being implemented in next premium models.
Automotive Artificial Intelligence Market Regional Overview
North America
Europe
- U.K.
- Germany
- France
- Spain
- Rest of Europe
Latin America
- Brazil
- Mexico
- Rest of Latin America
Asia-Pacific
- India
- Japan
- China
- Australia
- South Korea
- Rest of Asia-Pacific
Middle East & Africa
- Gulf Cooperation Council (GCC)
- South Africa
- Rest of the Middle East & Africa
The increasing adoption of electric and autonomous vehicles in the North America region, fuels the regional market growth
Geographically, the North America region consumed the majority of the share in 2021. This is due to the early adoption of technologies such as AI, machine learning, deep learning, automation, etc. In addition, the increasing trend of self-driving cars and electric vehicles and rising implementation of drives assist technologies and increased per capita income in the region are some of the aspects that keep the North America region at the top. However, the Asia-Pacific region is likely to witness the fastest CAGR during the forecast period 2022 – 2030.
Competitive Landscape
Some of the top vendors offered in the professional report include Appian, Nvidia Corporation, Alphabet Inc. (Waymo), Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Micron Technology, Inc, BMW, Uber Technologies Inc. (OTTO Motors), Tesla, Inc, and Toyota Motor Corporation.
CHAPTER 1. Industry Overview of Automotive Artificial Intelligence Market
1.1. Definition and Scope
1.1.1. Definition of Automotive Artificial Intelligence
1.1.2. Market Segmentation
1.1.3. Years Considered for the Study
1.1.4. Assumptions and Acronyms Used
1.1.4.1. Market Assumptions and Market Forecast
1.1.4.2. Acronyms Used in Global Automotive Artificial Intelligence Market
1.2. Summary
1.2.1. Executive Summary
1.2.2. Automotive Artificial Intelligence Market By Offering
1.2.3. Automotive Artificial Intelligence Market By Process
1.2.4. Automotive Artificial Intelligence Market By Technology
1.2.5. Automotive Artificial Intelligence Market By Application
1.2.6. Automotive Artificial Intelligence Market By Region
CHAPTER 2. Research Approach
2.1. Methodology
2.1.1. Research Programs
2.1.2. Market Size Estimation
2.1.3. Market Breakdown and Data Triangulation
2.2. Data Source
2.2.1. Secondary Sources
2.2.2. Primary Sources
CHAPTER 3. Market Dynamics And Competition Analysis
3.1. Market Drivers
3.1.1. Driver 1
3.1.2. Driver 2
3.2. Restraints and Challenges
3.2.1. Restraint 1
3.2.2. Restraint 2
3.3. Growth Opportunities
3.3.1. Opportunity 1
3.3.2. Opportunity 2
3.4. Porter’s Five Forces Analysis
3.4.1. Bargaining Power of Suppliers
3.4.2. Bargaining Power of Buyers
3.4.3. Threat of Substitute
3.4.4. Threat of New Entrants
3.4.5. Degree of Competition
3.5. Market Concentration Ratio and Market Maturity Analysis of Automotive Artificial Intelligence Market
3.5.1. Go To Market Strategy
3.5.1.1. Introduction
3.5.1.2. Growth
3.5.1.3. Maturity
3.5.1.4. Saturation
3.5.1.5. Possible Development
3.6. Technological Roadmap for Automotive Artificial Intelligence Market
3.7. Value Chain Analysis
3.7.1. List of Key Manufacturers
3.7.2. List of Customers
3.7.3. Level of Integration
3.8. Regulatory Compliance
3.9. Competitive Landscape, 2021
3.9.1. Player Positioning Analysis
3.9.2. Key Strategies Adopted By Leading Players
CHAPTER 4. Automotive Artificial Intelligence Market By Offering
4.1. Introduction
4.2. Automotive Artificial Intelligence Revenue By Offering
4.2.1. Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast, By Offering, 2018-2030
4.2.2. Software
4.2.2.1. Software Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
4.2.3. Hardware
4.2.3.1. Hardware Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
CHAPTER 5. Automotive Artificial Intelligence Market By Process
5.1. Introduction
5.2. Automotive Artificial Intelligence Revenue (US$ Mn) By Process
5.2.1. Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
5.2.2. Signal Recognition
5.2.2.1. Signal Recognition Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
5.2.3. Image Recognition
5.2.3.1. Image Recognition Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
5.2.4. Voice Recognition
5.2.4.1. Voice Recognition Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
5.2.5. Data Mining
5.2.5.1. Data Mining Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
CHAPTER 6. Automotive Artificial Intelligence Market By Technology
6.1. Introduction
6.2. Automotive Artificial Intelligence Revenue (US$ Mn) By Technology
6.2.1. Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
6.2.2. Deep Learning
6.2.2.1. Deep Learning Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
6.2.3. Machine Learning
6.2.3.1. Machine Learning Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
6.2.4. Context Awareness
6.2.4.1. Context Awareness Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
6.2.5. Computer Vision
6.2.5.1. Computer Vision Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
6.2.6. Natural Language Processing
6.2.6.1. Natural Language Processing Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
CHAPTER 7. Automotive Artificial Intelligence Market By Application
7.1. Introduction
7.2. Automotive Artificial Intelligence Revenue (US$ Mn) By Application
7.2.1. Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
7.2.2. Autonomous Driving
7.2.2.1. Autonomous Driving Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
7.2.3. Human–Machine Interface
7.2.3.1. Human–Machine Interface Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
7.2.4. Semi-Autonomous Driving
7.2.4.1. Semi-Autonomous Driving Market Revenue (US$ Mn) and Growth Rate (%), 2018-2030
CHAPTER 8. North America Automotive Artificial Intelligence Market By Country
8.1. North America Automotive Artificial Intelligence Overview
8.2. U.S.
8.2.1. U.S. Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
8.2.2. U.S. Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
8.2.3. U.S. Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
8.2.4. U.S. Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
8.3. Canada
8.3.1. Canada Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
8.3.2. Canada Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
8.3.3. Canada Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
8.3.4. Canada Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
8.4. North America PEST Analysis
CHAPTER 9. Europe Automotive Artificial Intelligence Market By Country
9.1. Europe Automotive Artificial Intelligence Overview
9.2. U.K.
9.2.1. U.K. Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
9.2.2. U.K. Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
9.2.3. U.K. Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
9.2.4. U.K. Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
9.3. Germany
9.3.1. Germany Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
9.3.2. Germany Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
9.3.3. Germany Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
9.3.4. Germany Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
9.4. France
9.4.1. France Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
9.4.2. France Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
9.4.3. France Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
9.4.4. France Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
9.5. Spain
9.5.1. Spain Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
9.5.2. Spain Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
9.5.3. Spain Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
9.5.4. Spain Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
9.6. Rest of Europe
9.6.1. Rest of Europe Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
9.6.2. Rest of Europe Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
9.6.3. Rest of Europe Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
9.6.4. Rest of Europe Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
9.7. Europe PEST Analysis
CHAPTER 10. Asia Pacific Automotive Artificial Intelligence Market By Country
10.1. Asia Pacific Automotive Artificial Intelligence Overview
10.2. China
10.2.1. China Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
10.2.2. China Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
10.2.3. China Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
10.2.4. China Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
10.3. Japan
10.3.1. Japan Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
10.3.2. Japan Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
10.3.3. Japan Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
10.3.4. Japan Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
10.4. India
10.4.1. India Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
10.4.2. India Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
10.4.3. India Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
10.4.4. India Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
10.5. Australia
10.5.1. Australia Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
10.5.2. Australia Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
10.5.3. Australia Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
10.5.4. Australia Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
10.6. South Korea
10.6.1. South Korea Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
10.6.2. South Korea Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
10.6.3. South Korea Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
10.6.4. South Korea Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
10.7. Rest of Asia-Pacific
10.7.1. Rest of Asia-Pacific Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
10.7.2. Rest of Asia-Pacific Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
10.7.3. Rest of Asia-Pacific Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
10.7.4. Rest of Asia-Pacific Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
10.8. Asia Pacific PEST Analysis
CHAPTER 11. Latin America Automotive Artificial Intelligence Market By Country
11.1. Latin America Automotive Artificial Intelligence Overview
11.2. Brazil
11.2.1. Brazil Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
11.2.2. Brazil Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
11.2.3. Brazil Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
11.2.4. Brazil Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
11.3. Mexico
11.3.1. Mexico Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
11.3.2. Mexico Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
11.3.3. Mexico Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
11.3.4. Mexico Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
11.4. Rest of Latin America
11.4.1. Rest of Latin America Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
11.4.2. Rest of Latin America Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
11.4.3. Rest of Latin America Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
11.4.4. Rest of Latin America Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
11.5. Latin America PEST Analysis
CHAPTER 12. Middle East & Africa Automotive Artificial Intelligence Market By Country
12.1. Middle East & Africa Automotive Artificial Intelligence Overview
12.2. GCC
12.2.1. GCC Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
12.2.2. GCC Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
12.2.3. GCC Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
12.2.4. GCC Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
12.3. South Africa
12.3.1. South Africa Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
12.3.2. South Africa Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
12.3.3. South Africa Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
12.3.4. South Africa Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
12.4. Rest of Middle East & Africa
12.4.1. Rest of Middle East & Africa Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Offering, 2018-2030
12.4.2. Rest of Middle East & Africa Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Process, 2018-2030
12.4.3. Rest of Middle East & Africa Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Technology, 2018-2030
12.4.4. Rest of Middle East & Africa Automotive Artificial Intelligence Revenue (US$ Mn) and Forecast By Application, 2018-2030
12.5. Middle East & Africa PEST Analysis
CHAPTER 13. Player Analysis Of Automotive Artificial Intelligence Market
13.1. Automotive Artificial Intelligence Market Company Share Analysis
13.2. Competition Matrix
13.2.1. Competitive Benchmarking of key players by price, presence, market share, and R&D investment
13.2.2. New Product Launches and Product Enhancements
13.2.3. Mergers And Acquisition In Global Automotive Artificial Intelligence Market
13.2.4. Partnership, Joint Ventures and Strategic Alliances/ Sales Agreements
CHAPTER 14. Company Profile
14.1. Appian
14.1.1. Company Snapshot
14.1.2. Business Overview
14.1.3. Financial Overview
14.1.3.1. Revenue (US$ Mn), 2021
14.1.3.2. Appian 2021 Automotive Artificial Intelligence Business Regional Distribution
14.1.4. Product/Service and Specification
14.1.5. Recent Developments & Business Strategy
14.1.6. Human–Machine Interface Plant Footprint Analysis
14.2. Alphabet Inc. (Waymo)
14.3. BMW
14.4. Intel Corporation
14.5. International Business Machines Corporation (IBM)
14.6. Microsoft Corporation
14.7. Micron Technology, Inc
14.8. Nvidia Corporation
14.9. Uber Technologies Inc. (OTTO Motors)
14.10. Tesla, Inc
14.11. Toyota Motor Corporation
