Quantum Computing in Automotive Market size was valued at USD 246.4 million in 2023 and is estimated to reach USD 7.45 billion by the end of 2036, witnessing more than 36.4% CAGR during the forecast period i.e., between 2024-2036. In 2024, the industry size of quantum computing in automotive is assessed at USD 336.1 million.
The automotive industry players have identified the potential of quantum computing in revolutionizing vehicle design, manufacturing, and operations. Modern connected cars are becoming progressively complex with their expanding ecosystem of processors, sensors, and communication systems. This has implored car manufacturers (OEMs) to highlight the pressing need for efficient quantum computing applications in the automotive sector. The industry is leveraging the latest developments in complex optimization problems, quantum simulation, and sophisticated quantum AI and machine learning to strengthen automobile manufacturing processes.
Quantum computing is projected to impact the development of advanced materials used in automotive manufacturing. OEMs and Tier 1 suppliers employ this technology to modify the behavior of atoms and molecules to develop new materials with customized properties, including enhanced strength and better electrical conductivity. This is anticipated to streamline the production of durable and advanced vehicle components during the forecast period. The integration of quantum computing is expected to enable the transitions toward autonomy and electrification of vehicles, giving the market players a competitive edge. Three main application areas of particular interest to automotive companies are image classification, logistics optimization, and battery chemistry.
Author Credits: Saima Khursheed
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