Artificial Intelligence in Automotive Global Market Report 2024

The artificial intelligence in automotive market size has grown exponentially in recent years. It will grow from $6.7 billion in 2023 to $10.88 billion in 2024 at a compound annual growth rate (CAGR) of 62.3%. The growth observed during the historical period can be attributed to several factors, including the escalating demand for enhanced user experience and convenience features in vehicles, a heightened awareness surrounding these advanced technologies, the increasing adoption of AI in the automotive supply chain, a surge in demand for autonomous vehicles, and a notable increase in the utilization of AI in the manufacturing processes of automobiles.

The artificial intelligence in automotive market size is expected to see exponential growth in the next few years. It will grow to $64.2 billion in 2028 at a compound annual growth rate (CAGR) of 55.9%. The anticipated growth in the forecast period can be ascribed to various factors, including the ongoing development of autonomous driving technologies, a rising demand for connected cars, an increased focus on vehicle safety, a growing desire for in-car personalization, a heightened emphasis on energy efficiency, and rapid advancements in computer vision. Prominent trends expected in the forecast period encompass continued advancements in autonomous driving, personalized user experiences, the implementation of predictive maintenance practices, enhanced vehicle connectivity, and the integration of natural language processing (NLP) technologies.

The increasing demand for autonomous vehicles is poised to drive the growth of artificial intelligence in the automotive market in the foreseeable future. Autonomous vehicles, capable of operating and performing essential functions without human intervention by sensing their surroundings, are a focal point for the integration of AI in the automotive sector. AI is instrumental in the development of autonomous driving systems, allowing vehicles to sense and interpret their environment, make decisions, and control their movements autonomously. As indicated by the National Highway Traffic Safety Administration in December 2022, the projection is for 3.5 million self-driving vehicles to be on U.S. roads by 2025, with an anticipated increase to 4.5 million by 2030. Consequently, the growing demand for autonomous vehicles serves as a driving force for the expansion of artificial intelligence in the automotive market.

Prominent companies operating in the artificial intelligence in the automotive market are dedicated to the development of innovative products, exemplified by the Snapdragon automotive cockpit platforms, to enhance customer service. These advanced in-car technology platforms, pioneered by Qualcomm, a U.S.-based semiconductor company, aim to elevate the automotive infotainment experience and facilitate connected and intelligent features in modern vehicles. The 4th Generation Snapdragon Automotive Cockpit Platforms, launched in January 2021, redefine the in-car experience by integrating advanced AI capabilities and seamless connectivity. These platforms revolutionize the digital cockpit, offering enhanced graphics, multimedia, computer vision, and in-car connectivity. They are fully scalable, supporting all three Snapdragon Automotive performance tiers - Performance, Premiere, and Paramount.

In August 2023, Tech Mahindra, an information technology services and consulting company based in India, established a partnership with Anyverse. The collaborative effort is geared towards expediting AI adoption in the automotive industry by simplifying the use of synthetic data for training, testing, and validating AI systems. Anyverse, a Spain-based hyperspectral synthetic data generation platform, specializes in accelerating the development of computer vision-based solutions for autonomous applications.

Major companies operating in the artificial intelligence in automotive market report are Alphabet Inc., Toyota Motor Corporation, Microsoft Corporation, Ford Motor Company, General Motors Company, Bayerische Motoren Werke AG, Honda Motor Co. Ltd., Tencent Holdings Ltd., Tesla Inc., Intel Corporation, The International Business Machines Corporation (IBM), Audi AG, Volvo Cars, AB Volvo, Qualcomm Technologies Inc., The Mercedes-Benz Group AG, Mitsubishi Electric, Uber Technologies Inc., Micron Technology Inc., NVIDIA Corporation, Harman International Industries Inc., Waymo LLC, Xilinx Inc., Argo AI, Cognata ltd.

North America was the largest region in the artificial intelligence in automotive market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in automotive market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence in automotive market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence in automotive market consists of revenues earned by entities by providing services such as autonomous driving systems, connected car services, predictive maintenance, customer service and support, cybersecurity solutions, and smart parking solutions. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in automotive market includes sales of cameras, LiDAR, ultrasonic sensors, and radars. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

Artificial Intelligence (AI) in the automotive sector denotes the incorporation and utilization of AI technologies to enhance multiple facets of the automotive ecosystem. This encompasses the development and implementation of AI-driven systems and solutions in vehicles, manufacturing processes, supply chain management, and customer service.

The primary components within artificial intelligence in the automotive sector encompass hardware, software, and services. In the context of AI in automotive hardware, this refers to the integration of specialized hardware components crafted to support and expedite AI-based tasks and applications within vehicles. This integration involves various processes such as data mining, image or signal recognition, utilizing technologies such as computer vision, context awareness, deep learning, machine learning, and natural language processing (NLP) for applications in semi-autonomous and fully-autonomous vehicles.

The artificial intelligence in automotive market research report is one of a series of new reports that provides artificial intelligence in automotive market statistics, including artificial intelligence in automotive industry global market size, regional shares, competitors with an artificial intelligence in automotive market share, detailed artificial intelligence in automotive market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in automotive industry. This artificial intelligence in automotive market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


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