Global Automotive Semiconductor Forecast by the Level of Autonomy, 2022-2030F
Overview: This research includes forecasts for key semiconductor components in autonomous vehicles from 2022 through 2030, including ADAS/AD SoC, lidar, radar, ultrasonic, CIS, connectivity, DRAM, and NAND. It provides key semiconductors’ market size, shipment, and penetration rate as autonomous driving evolves.
Table of Contents:
- Forecast: Passenger Car by the Level of Autonomy
- Forecast: ADAS/AD SoC in Automotive
- Forecast: CIS in Automotive
- Forecast: LiDAR Semiconductor in Automotive
- Forecast: Memory in Automotive
- Forecast: Connectivity in Automotive
- Analyst Contacts
Published Date: June 2024
Category
Industry
Automotive
Service
Automotive, ADAS and AD
Report Type
Report
Time Period
Other
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Author
Mohit Sharma
Mohit is a seasoned Research Analyst at Counterpoint Technology Market Research, specializing in the Automotive Industry and its transformative megatrends, including Connectivity, Autonomous Vehicles, Electric Vehicles, Shared Mobility, and Location Technology. His academic foundation as a Mechanical Engineer is complemented by a Master's degree from EBS University in Germany, where he collaborated with leading automotive OEMs such as Kia and Daimler.
Parv Sharma
Parv is a Senior Analyst with Counterpoint Technology Market Research based out of Gurgaon, India. He has over 10 years of experience at Counterpoint in market research and strategic consulting across the global technology and telecom sectors. He tracks the global semiconductor ecosystem, with a focus on HPC and data center compute, server CPUs, and AI infrastructure — covering competitive dynamics across Intel, AMD, Arm, Nvidia, and hyperscaler custom silicon. His research also spans the smartphone semiconductor ecosystem — including the Application Processor (AP)/SoC market, foundry, node and manufacturing technology, the RFFE ecosystem and value chain, and smartphone Bill of Materials (BoM) analysis — as well as the Automotive and Connected Car value chain. He leads a team driving data analysis and insights and contributes regularly to media coverage on semiconductors and AI infrastructure.