Table of Content

1 Automotive Semiconductor Industry

1.1 Overview of Automotive Semiconductor Industry
1.1.1 Classification of Automotive Semiconductors
1.1.2 Classification of Automotive Semiconductors and Products
1.1.3 Average Costs of Semiconductors in Autonomous Vehicle of Varied Level
1.1.4 Forecast of the Demand for Various Sensors from Autonomous Vehicle (L2-L5)
1.1.5 Value Growth of Intelligent Connected Vehicle (ICV) Chip
1.1.6 Global Automotive Semiconductor Market Size and Structure
1.1.7 Automotive Chip Types and Typical Vendors
1.1.8 List of the Top 20 Automotive Semiconductor Vendors Worldwide
1.1.9 Automotive Semiconductor Market Size by Systems
1.1.10 Market Size of Automotive Chip Vendors Worldwide
1.1.11 Market Size of Automotive Chip Vendors Worldwide (by Sector)
1.1.12 Fields Where Automotive Chips Get Used Worldwide
1.1.13 Automotive Chip Niche Market Size and Competition Pattern: MCU
1.1.14 Automotive Chip Niche Market Size and Competition Pattern: Master Chip
1.1.15 Automotive Chip Niche Market Size and Competition Pattern: Memory Chip
1.1.16 Automotive Chip Niche Market Size and Competition Pattern: Communication Chip & Module
1.1.17 Automotive Chip Niche Market Size and Competition Pattern: Power Chip
1.1.18 Average Power Semiconductors Contained in the Differently Electrified New Energy Vehicle
1.2 Automotive Chip Trends
1.3 Requirements on Auto-grade Chip
1.3.1 Basic Requirements for Auto-grade Chip
1.3.2 Threshold for Access to Auto-grade Chip and Industry Barriers
1.3.3 Elements for Auto-grade Chip Appraisal: Performance, Price and Power Consumption
1.3.4 Automobile Supply Chain Standard System Criteria which Auto-grade Chips Have to Meet
1.4 Chip Industry Structure and Auto-grade Chip Development in China
1.4.1 Policy Climate for Automotive Chip Industry in China
1.4.2 Hard Nuts to Crack for China Automotive Chip Industry
1.4.3 Gaps between Automotive Chip Niche Markets and Rates of Self-sufficiency
1.4.4 List of Automotive Chip Vendors and Corporate Types in China


2 ADAS/AD Master Chips and Trends

2.1 Classification of Automotive ADAS/AD Master Chips
2.2 CPU, GPU, FPGA and ASIC
2.3 Features of GPU
2.4 Features of FPGA
2.5 Features of ASIC
2.6 Compute Capability Asked by ADAS/AD Master Chip
2.7 Global ADAS/AD Master Chip Vendors and Comparison between Product Parameters
2.8 Chinese ADAS/AD Master Chip Vendors and Comparison between Product Parameters
2.9 Chips Adopted by Waymo Computing Platform
2.10 Chips Adopted by Apollo Computing Platform


3 Global ADAS/AD Master Chip Vendors

3.1 NXP
3.1.1 Operation of NXP
3.1.2 Automotive Processors (Chips) of NXP
3.1.3 NXP S32 Series
3.1.4 Next-generation High-performance SoC of NXP
3.1.5 NXP’s Next-generation Processor Will Fuse with MPPA Smart Processor
3.1.6 NXP’s Launch of Service-oriented Gateway Chip S32G
3.1.7 Key Properties and Chip Architecture of NXP S32G
3.1.8 NXP S32 ADAS Chip
3.1.9 Features of NXP S32 ADAS Chip Architecture
3.1.10 NXP S32 ADAS Chip Technology Roadmap
3.1.11 NXP Autonomous Driving Computing Platform -- Bluebox
3.1.12 Bluebox Chip Composition and Properties
3.1.13 Chip Composition of NXP’s Next-generation BlueBox
3.1.14 AI Deployment of NXP
3.1.15 NXP’s Collaborations on Automotive Chip
3.2 Intel/Mobileye
3.2.1 Autonomous Driving Division of Intel
3.2.2 Automotive Master Chips of Intel
3.2.3 Apollo Lake Platform of Intel
3.2.4 Mobileye EyeQx Product Line
3.2.5 Mobileye EyeQ Chip Users and Shipments
3.2.6 Mobileye EyeQ4 Chip
3.2.7 Mobileye EyeQ4 Parameters and Applied Cases
3.2.8 Mobileye EyeQ5 Chip
3.2.9 Mobileye EyeQ5 Chip Achitecture
3.2.10 Mobileye EyeQx Product Line and Its Integration with INTEL System
3.2.11 Intel New-generation FPGA
3.2.12 Intel L3 Autonomous Driving Development Platform
3.2.13 Intel Chip Use in BMW Autonomous Driving Platform
3.2.14 Intel Mobileye’s Collaborations on Automotive Chip
3.2.15 Evolution of Intel AI Chips
3.3 TI
3.3.1 Company Profile
3.3.2 TI’s Automotive Master Chips
3.3.3 TI’s Launch of Next-generation Automotive Processor Platform
3.3.4 TI Jacinto 7 System Architecture
3.3.5 TI’s ADAS Chip -- TDAx
3.3.6 Features of TDA4VM
3.4 Qualcomm
3.4.1 Company Profile
3.4.2 Qualcomm’s Efforts in Automotive Chips
3.4.3 Qualcomm’s Automotive Chips
3.4.4 Qualcomm’s 3rd-Gen Chip Platform
3.4.5 Snapdragon Ride Autonomous Driving Platform
3.4.6 Snapdragon Ride Software Platform
3.4.7 Three Configuration Versions of Snapdragon Ride
3.5 NVIDIA
3.5.1 Company Profile
3.5.1.1 Brief Introduction
3.5.1.2 List of NVIDIA Automotive Chips
3.5.1.3 Automotive Chip Roadmap of NVIDIA
3.5.1.4 Ampere GPU Architecture
3.5.1.5 NVIDIA GPU Architecture Technology Roadmap
3.5.1.6 Comparison between NVIDIA Autonomous Driving Chip Parameters
3.5.1.7 NVIDIA Autonomous Driving Chip Ecosystem
3.5.1.8 NVIDIA’s Collaborations on Autonomous Driving
3.5.1.9 NVIDIA’s Ranking in Autonomous Driving Chips
3.5.2 NVIDIA AGX
3.5.2.1 Introduction to NVIDIA AGX
3.5.2.2 Introduction to AGX Xavier
3.5.2.3 Composition of AGX Xavier
3.5.2.4 Pegasus
3.5.2.5 DRIVE AGX Orin
3.5.2.6 Three Types of DRIVE AGX Orin
3.5.3 NVIDIA Autonomous Driving Software
3.5.3.1 NVIDIA Software Stack
3.5.3.2 NVIDIA DRIVE AutoPilot
3.5.3.3 DRIVE AutoPilot Users
3.5.3.4 AP2X Software Solution
3.5.3.5 Autonomous Driving Simulation Platform
3.6 Renesas
3.6.1 Company Profile
3.6.2 Autonomous Driving Layout of Renesas
3.6.3 Renesas Improves Its Weaknesses
3.6.4 Renesas R-Car Auto-grade Chip Technology Roadmap
3.6.5 Renesas 3rd-Gen R-Car Master Chip (I)
3.6.6 Renesas 3rd-Gen R-Car Master Chip (II)
3.6.7 Renesas 3rd-Gen R-Car Master Chip (III)
3.6.8 Comparison of Master Chips between Renesas and Its Competitors
3.6.9 Renesas R-Car Virtualization Support Package
3.6.10 Chip Use in Renesas L4 Computing Platform
3.6.11 Next-generation Autonomous Driving SoC of Renesas
3.6.12 Autonomy Ecosystem of Renesas
3.6.13 Renesas Collaborations on Automotive Chip
3.7 Xilinx
3.7.1 Company Profile and Its Products
3.7.2 Xilinx Zynq UltraScale+MPSoC 7EV
3.7.3 Virtex UltraScale+ VU19P
3.7.4 Xilinx SoC+FPGA Series (I)
3.7.5 Xilinx SoC+FPGA Series (II)
3.7.6 Xilinx Scalable Product Series
3.7.7 Versal ACAP Series
3.7.8 Xilinx’s Launch of Vitis, a Unified Software Development Platform
3.7.9 High Throughput and Low Latency
3.7.10 RFSoC Development Roadmap
3.7.11 Zynq UltraScale+ MPSoC Product Features
3.7.12 Cases of Xilinx Chips Used in Automobile
3.7.13 Xilinx AD/ADAS Application Route
3.7.14 Xilinx Automotive Chip Partners
3.8 Tesla
3.8.1 Tesla Autopilot System and Processor Evolution
3.8.2 A Plan to Spawn FSD Chip with 7nm Process
3.8.3 Tesla Self-developed FSD Chip
3.8.4 FSD Dual-redundancy Chip Design
3.8.5 Tesla Self-developed Chip: Composition
3.8.6 Tesla Self-developed Chip: NNA
3.8.7 Tesla Self-developed Chip: ISP
3.8.8 Summary of Tesla Chips

4 Chinese ADAS/AD Master Chip Vendors

4.1 Horizon Robotics
4.1.1 Journey Chips of Horizon Robotics
4.1.2 Autonomous Driving Computing Platform of Horizon Robotics
4.1.3 Chip Ecosystem Planning of Horizon Robotics
4.1.4 Autonomous Driving Chip Architecture Roadmap of Horizon Robotics
4.1.5 2nd-Gen Journey Processor (Journey? 2) of Horizon Robotics
4.1.6 Autonomous Driving Computing Platform -- Matrix1.0
4.1.7 Journey 3 Chip of Horizon Robotics
4.1.8 Next-Generation Journey 5 & Journey 6 of Horizon Robotics
4.1.9 Auto-grade AI Chip Clients of Horizon Robotics
4.1.10 Automotive Chip Partners of Horizon Robotics
4.2 Huawei
4.2.1 Intelligent Vehicle Business of Huawei
4.2.2 Huawei Is Only Second to Bosch as concerns CASE Deployments
4.2.3 Aim to be a Supplier of Incremental Parts for Cars
4.2.4 Automotive Chips of Huawei
4.2.5 Automotive Computing Platform Products of Huawei
4.2.6 Huawei Ascend 910 and Ascend 310
4.2.7 All-scenario AI Computing Architecture -- MindSpore
4.2.8 MDC Autonomous Driving Computing Platform Architecture
4.3 Ambarella
4.3.1 Company Profile
4.3.2 Development Course
4.3.3 Ambarella Computer Vision Chip Architecture
4.3.4 Vision Chip CV Series
4.3.5 Viewing/Recording Chip
4.3.6 Vision Chip CV22AQ
4.3.7 Applied Scenarios of Ambarella Vision Chips and Its Partners
4.3.8 Ambarella’s Main Clients in Automotive Business
4.3.9 Cases of Ambarella Chips Applied
4.4 Black Sesame Technologies
4.4.1 Company Profile
4.4.2 Black Sesame Perception Platform Solutions
4.4.3 Black Sesame Perception & Computing Chips
4.4.4 Black Sesame Intelligent Driving Platform SOC
4.4.5 Black Sesame Intelligent HuaShan Chip Series
4.4.6 Intelligence Developments of Black Sesame
4.5 SemiDrive
4.5.1 Company Profile
4.5.2 SemiDrive Master Chips
4.5.3 SemiDrive ADAS Chip V9
4.5.4 SemiDrive Vehicle-On-Chip Strategy
4.5.5 Developments of SemiDrive
4.6 Westwell Lab
4.6.1 Company Profile
4.6.2 Core Technologies on Westwell AI Chip
4.6.3 Westwell’s Autonomous Driving Terminals and Applications