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

• Software
• Hardware

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

• U.S.
• Canada

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.

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