The global automotive artificial intelligence market was valued at USD 3.26 billion in 2023 and is anticipated to reach USD 4.05 billion in 2024 from USD 22.76 billion by 2032, growing at a CAGR of 24.10% during 2024 to 2032.
Artificial intelligence (AI) frameworks are utilized to change, process, and function information and algorithms to mimic the intellectual elements of the human mind and increase the ability to assimilate and resolve issues automatically. Vehicles with self-driving highlights are bound to receive such frameworks to improve their productivity and functioning.
This industry is one of the most innovative sectors in the world. These days, the improvement and expansion of driverless or assisted vehicles is probably the most significant advancement in the automotive industry. Artificial Intelligence (AI) enables cars to see, think, learn, and explore an interminable scope of driving situations. The automotive industry utilizes the intensity of AI and deep learning to covey a breakthrough end-to-end solution for autonomous driving from information assortment, model training, and testing in recreation to the organization of smart, safe, and self-driving vehicles.
The developing interest in autonomous vehicles significantly determines the global automotive AI market. These vehicles are gaining prevalence internationally due to numerous highlights like automatic parking, self-driving, autopilot, and others, which decrease human exertion during driving. In addition, such autonomous vehicles are upheld by the absolute greatest technologically reliable companies, for example, Nvidia, Tesla, and Intel, among others. Autonomous cars are anticipated to substantially cut down the prerequisite of human intercession and be of crucial significance in industries that are experiencing low labor for transportation purposes. This, thus, is relied upon to drive the development of the global automotive AI market.
There are different difficulties that manufacturers are confronting with respect to security and privacy concerns such as the safety of personal information, cyber-attacks, and driver interruptions. For example, about 1.4 million Fiat Chryslers were reviewed in the US due to a technical glitch in their dashboard PCs that allowed hackers to debilitate the vehicle. Correspondingly, white hat hackers were effective in embedding malware into the system of a Tesla car. These occurrences of meddling with client security are some of the significant limitations in market development.
REPORT METRIC |
DETAILS |
Market Size Available |
2023 to 2032 |
Base Year |
2023 |
Forecast Period |
2024 to 2032 |
CAGR |
24.10% |
Segments Covered |
By Application, Component, Technology, Process, and Region. |
Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview of Investment Opportunities |
Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
Market Leaders Profiled |
NVIDIA Corporation (US), Alphabet Inc. (US), (US), IBM Corporation (US), Microsoft Corporation (US), Harman International Industries Inc. (US), Xilinx Inc. (US), Qualcomm Inc. (US), Tesla Inc. (US), Volvo Car Corporation (Sweden), BMW AG (Germany), Audi AG (Germany), General Motors Company (US), Ford Motor Company (US), Toyota Motor Corporation (Japan), Hyundai Motor Corporation (South Korea), Uber Technologies Inc. (US), Honda Motor Co. Ltd. (Japan), Daimler AG (Germany), and Didi Chuxing (China). Some important start-ups in the automotive AI market have also been included: AImotive (Hungary), Nauto Inc. (US), nuTonomy (US), Argo AI (US), drive.ai (US), and Others. |
Automotive HMI has developed radically in the last few years and implemented troublesome advances in different items such as voice recognition framework and gesture recognition framework. This is a developing business sector where innovative AI technology is being utilized in forthcoming models in premium segments.
Software is a crucial component that stores information and executes directions. Hardware is used as an interface between the AI framework and humans. All software requires overhauling for its viable functioning. The framework manufacturer or the OEM can give service.
In view of technology, the deep learning segment represented the most significant share of the worldwide automotive AI market in 2018. The large share of this segment is primarily ascribed to the expanding venture by numerous organizations in the improvement of self-driving cars in which deep learning innovation is utilized for image processing, information analysis, motion recognition, and voice search.
Information is gathered from various sensors utilized in a semi-autonomous or autonomous vehicle, which can be used to prepare the car to identify or perceive images, obstructions, and different situations one may experience in the driver’s seat. Because of the enormous volumes of information created and processed in a vehicle, data mining is supposed to be the quickest developing process in the global automotive AI market.
North America is leading with the largest shares of the market owing to the rapid adoption of advanced technologies by automotive industries. The growing prevalence of government road safety measures is greatly influencing North American market shares. The US automotive artificial intelligence market is likely to hit the highest CAGR during the forecast period. Quick upgrades of product portfolio by major players in the US are ascribed to bolster the market demand. Also, all the vehicles in the US are upgrading to the latest technology with various features like blind spot recognition, lane departure, and others.
Europe is next in leading the significant shares of the market due to the growing prevalence of reducing accidents using the latest features in the automotive using AI. In addition, the presence of top leading companies such as Tesla, Intel, and Nvidia, among others, is anticipated to promote the market growth rate eventually in Europe. UK and Germany are leading with the dominant shares of the automotive artificial intelligence market.
Asia Pacific's automotive artificial intelligence market is set to have the highest growth rate during the forecast period.
NVIDIA Corporation (US), Alphabet Inc. (US), IBM Corporation (US), Microsoft Corporation (US), Harman International Industries Inc. (US), Xilinx Inc. (US), Qualcomm Inc. (US), Tesla Inc. (US), Volvo Car Corporation (Sweden), BMW AG (Germany), Audi AG (Germany), General Motors Company (US), Ford Motor Company (US), Toyota Motor Corporation (Japan), Hyundai Motor Corporation (South Korea), Uber Technologies Inc. (US), Honda Motor Co. Ltd. (Japan), Daimler AG (Germany), Didi Chuxing (China), AImotive (Hungary), Nauto Inc. (US), nuTonomy (US), Argo AI (US), Drive.ai (US). These are the market players that are dominating the global automotive artificial intelligence market.
By Application
By Component
By Technology
By Process
By Region
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