Press release
Global and U.S. Processors for Self-Driving Market Report, Published by QY Research.
https://www.qyresearch.com/reports/5553838/processors-for-self-driving
Core Market Data
Global market size: USD 8.8 billion
CAGR (2024-2030): 17.6%
Average price: USD 275 per unit
Annual production: 32 million units
Gross margin: 48%
Production capacity: 41 million units
List of Main Players
NVIDIA (NASDAQ: NVDA, USA)
Intel (NASDAQ: INTC, USA)
Qualcomm (NASDAQ: QCOM, USA)
AMD (NASDAQ: AMD, USA)
NXP (NASDAQ: NXPI, Netherlands)
Infineon (FWB: IFX, Germany)
Renesas (TYO: 6723, Japan)
Texas Instruments (NASDAQ: TXN, USA)
Samsung (KRX: 005930, South Korea)
TSMC (NYSE: TSM, Taiwan)
STMicroelectronics (NYSE: STM, Switzerland)
ON Semiconductor (NASDAQ: ON, USA)
Micron (NASDAQ: MU, USA)
Huawei (Private, China)
1. By Processor Architecture
CPU-centric Processors
GPU-based Processors
NPU Processors
Heterogeneous Processors
2. By Compute Performance
Below 30 TOPS
30-200 TOPS
Above 200 TOPS
3. By ASIL Type
ASIL-B Processors
ASIL-C Processors
ASIL-D Processors
4. By Application
Level 1-2 Automation
Level 3 Automation
Level 4-5 Automation
Case Study for Bidding
Time: June 2024
Supplier: Qualcomm
Buyer: BMW Group
Product: Snapdragon Ride centralized autonomous driving processors for next-generation ADAS platforms
Quantity: 740,000 units
Contract Value: USD 510 million
Delivery Timeline: Q2 2026
Case Study for End Using
End User: Mercedes-Benz Group
Application: Deployed in centralized vehicle compute architectures for advanced highway and urban driving assistance.
Installation Location / Usage Stage
Integrated into vehicle domain controllers with active thermal management.
Connected to multi-camera, LiDAR, radar, and V2X subsystems.
Operated continuously under automotive-grade safety and reliability constraints.
Purpose
Executes AI models for perception, prediction, and planning.
Aggregates and fuses data from heterogeneous sensors in real time.
Enables over-the-air software updates and feature upgrades.
Effect
Improved end-to-end perception and planning latency by 28%.
Enabled scalable deployment of higher-level autonomy features.
Reduced electronic control unit (ECU) count via centralized compute.
Alternative Computing Approaches
Traditional automotive MCUs offer robustness but lack AI performance.
Discrete GPUs provide flexibility but increase power and thermal load.
Cloud-based processing supports training and simulation but cannot meet real-time driving latency needs.
Therefore, Processors for Self-Driving are the core digital backbone of autonomous vehicles-balancing extreme compute performance, functional safety, power efficiency, and long-term software scalability required for safe and deployable autonomy.
About QY Research
QY Research has established close partnerships with over 71,000 global leading players. With more than 20,000 industry experts worldwide, we maintain a strong global network to efficiently gather insights and raw data.
Our 36-step verification system ensures the reliability and quality of our data. With over 2 million reports, we have become the world's largest market report vendor. Our global database spans more than 2,000 sources and covers data from most countries, including import and export details.
We have partners in over 160 countries, providing comprehensive coverage of both sales and research networks. A 90% client return rate and long-term cooperation with key partners demonstrate the high level of service and quality QY Research delivers.
More than 30 IPOs and over 5,000 global media outlets and major corporations have used our data, solidifying QY Research as a global leader in data supply. We are committed to delivering services that exceed both client and societal expectations.
For Inquiries:
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Email: global@qyresearch.com
www.qyresearch.com
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