This would be helpful in training & developing intelligence within the vehicle to operate with little manual intervention. For instance, quantum computing algorithms can rapidly process and calculate huge amounts of data generated from LIDAR, RADAR, & image sensors, and other advanced systems.

Owing to these advantages, quantum computing can act as a breakthrough advancement to make autonomous vehicles a reality soon with lower error margins. Few surveys suggest that about 90% of these autonomous vehicles will be shared, and 10% will be used for personal commuting. The future adoption of Level 3, 4, and 5 autonomous vehicles could result in passengers spending more time in cars and less time physically driving them. The automotive quantum computing market is projected to grow from USD 143 million in 2026 to USD 5,203 million by 2035, at a CAGR of 35.0% from 2031 to 2035.Īutonomous & connected vehicles to become the fastest-growing segment during the forecast periodĭevelopments in autonomous vehicles will be significant in the near years. Global Quantum Computing in Automotive Marketĭublin, Ma(GLOBE NEWSWIRE) - The 'Quantum Computing in Automotive Market by Application (Route Planning & Traffic Management, Battery Optimization, Material Research, Production Planning & Scheduling), Deployment, Component, Stakeholder & Region - Global Forecast to 2035' report has been added to 's offering.

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