The Artificial Intelligence (AI) in the automotive market size is anticipated to record a robust CAGR of 55% between 2023 and 2033. The market is anticipated to cross a market share of US$ 9.3 billion by 2033, while it is expected to be valued at US$ 744.39 billion in 2023.
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Key Points
- The United States market is another significant market. The market growth is attributed to the presence of EV giants like Tesla, which delivers advanced AI and ML integration. The increased acceptance of autonomous and self-driving vehicles is fueling the sales of AI in the automotive
- Artificial intelligence (AI) in the automotive market in China is another significant market. The growth is attributed to the expanded manufacturing units, high-end research, and advanced experimentation.
- Europe with its environmental compliance adopts EVs and Hybrid Vehicles, which further fuels the demand for AI-integration prospects.
- The software segment is likely to thrive in the component category due to the common application and automotive implementation. It is expected to hold a value of US$ 200 billion by 2033.
- The fully autonomous segment tops the application category with an anticipated value of US$ 30 billion by 2033. The growth is attributed to the advent of self-driving assistance systems
In modern autos, fully autonomous and self-driving gearboxes are widely wanted. The necessity for artificial intelligence (AI) in the automotive sector has grown as a result of the creation of customised solutions by AI integration suppliers.
With the popularity of EVs and hybrid vehicles growing, AI units are being deployed at the same time. These vehicles profit from features like park-guided systems that increase operational effectiveness, user convenience, and vehicle protection.
The research and development of ADAS integration are being advanced by the increased interest in Level 2 ADAS (Advanced Driver Assistance Systems) among auto enthusiasts.
The new car makers’ OEM-based AI processors enable a variety of vehicle functions. Artificial intelligence (AI) supports every component, including the lighting, cruise control, air conditioning, assisted parking, and others.
In modern autos, fully autonomous and self-driving gearboxes are widely wanted. The necessity for artificial intelligence (AI) in the automotive sector has grown as a result of the creation of customised solutions by AI integration suppliers.
With the popularity of EVs and hybrid vehicles growing, AI units are being deployed at the same time. These vehicles profit from features like park-guided systems that increase operational effectiveness, user convenience, and vehicle protection.
The research and development of ADAS integration are being advanced by the increased interest in Level 2 ADAS (Advanced Driver Assistance Systems) among auto enthusiasts.The new car makers’ OEM-based AI processors enable a variety of vehicle functions. Artificial intelligence supports a number of features, including lighting, cruise control, air conditioning, and assisted parking.
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Competitive Landscape
The key competitors focus on inclusivity, while adding sensors and smart software to enhance the guided systems. Companies follow the artificial intelligence innovation with the key competitors and merge, acquire, and partner with other companies to increase the network range, connectivity, supply chain, and distribution channel. The key players in the market are: BMW AG, AUDI AG, Intel Corporation, Tesla Inc, Uber Technologies, Volvo Car Corporation, Honda Motors, Ford Motor Company, NVIDIA Corporation, and Tencent
Recent Market Developments
- Ford Motor Co is the leading patent filer when it comes to the neural network for radar-LiDAR. The company operates with Baidu in China to implement AI technology in automotive.
- A technology company, Aptiv is promoting enhanced automated vehicles that are loaded with AI-based sensors, cameras, and other components.
Key Segments
By Component:
- Hardware
- Software
- Services
By Technology:
- Computer Vision
- Context Awareness
- Deep Learning
- Machine Learning
- Natural Language Processing (NLP)
By Process:
- Data Mining
- Image/signal Recognition
By Application:
- Semi-autonomous vehicles
- Fully-autonomous Vehicles
By Region:
- North America
- Latin America
- Europe
- Asia Pacific (APAC)
- The Middle East & Africa (MEA)
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