Offering (Hardware, Software, Service)
As per the offerings, the hardware segment is estimated to capture the highest share of 76.6% by the end of 2037 in the automotive artificial intelligence market. The transition of vehicles toward automation has raised the need for more powerful processors and GPUs. In March 2024, Nvidia Corporation launched its new Blackwell GPU. It can accelerate the computing power of a generative AI to deliver real-time data in vehicles. These are now accepted by reputed technology service providers including Microsoft, OpenAI, and Tesla. Developed sensor technologies including LiDAR, camera, and RADAR are propelling the demand for high-performance hardware. Developed sensor technologies including LiDAR, camera, and RADAR are propelling the demand for high-performance hardware.
Technology (Computer Vision, Context Awareness, Deep Learning, Machine Learning, Natural Language Processing)
Based on technology, the machine learning segment is dominating the automotive artificial intelligence market. The growth in this segment is driven by its advanced computing power and increased adoption of ADAS. Swelling safety concerns in consumers while driving are demanding liable data processing in automotive artificial intelligence. The learning capability of AI form the real-world efficiently serves the purpose through their effective sensory processors. Usage of recent developments such as AI chips in decision-making algorithms has enhanced its capabilities. The ability to streamline operations in the supply chain is driving manufacturers to adopt AI solutions. Further, solidifying the dominance of machine learning.
Our in-depth analysis of the automotive artificial intelligence market includes the following segments:
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Author Credits: Saima Khursheed
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