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Autonomous Vehicle SoC Chips Market Size, Trends & Forecasts | Valuates Reports

11-13-2025 12:49 PM CET | Advertising, Media Consulting, Marketing Research

Press release from: Valuates Reports

Autonomous Vehicle SoC Chips Market Size

The global market for semiconductor was estimated at US$ 579 billion in the year 2022, is projected to US$ 790 billion by 2029, growing at a CAGR of 6% during the forecast period.

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Autonomous Vehicle System-on-Chip (SoC) chips are specialized integrated circuits designed for autonomous vehicles. These chips are responsible for processing a vast amount of data from various sensors, cameras, radar, lidar, and other sources to enable self-driving capabilities. They handle real-time decision-making, navigation, and control tasks, making them a critical component in the development of autonomous vehicles. Autonomous Vehicle SoC chips are at the forefront of automotive technology, enabling vehicles to perceive their environment, make driving decisions, and enhance safety.

Although some major categories are still double-digit year-over-year growth in 2022, led by Analog with 20.76%, Sensor with 16.31%, and Logic with 14.46% growth, Memory declined with 12.64% year over year. The microprocessor (MPU) and microcontroller (MCU) segments will experience stagnant growth due to weak shipments and investment in notebooks, computers, and standard desktops. In the current market scenario, the growing popularity of IoT-based electronics is stimulating the need for powerful processors and controllers. Hybrid MPUs and MCUs provide real-time embedded processing and control for the topmost IoT-based applications, resulting in significant market growth. The Analog IC segment is expected to grow gradually, while demand from the networking and communications industries is limited. Few of the emerging trends in the growing demand for Analog integrated circuits include signal conversion, automotive-specific Analog applications, and power management. They drive the growing demand for discrete power devices.

By Type
• CPU+ASIC Architecture
• CPU+GPU+ASIC Architecture
• CPU+FPGA Architecture

By Application
• Driver Assistant
• Vehicle Motion
• Safety
• Infotainment

Key Companies
NVIDIA Corporation, Qualcomm, Mobileye, Intel Corporation, Tesla, TI (Texas Instruments), Infineon, Renesas Electronics, Samsung, Waymo, Autotalks, Seimens, Xilinx

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