Table of Content

1 Overview of Automotive LiDAR
1.1 Introduction to LiDAR
1.2 LiDAR Structure
1.2.1 Transmitter System
1.2.2 Scanning System
Comparison of Advantages and Disadvantages of LiDAR with Different Scanning Methods
Development Trends of LiDAR Scanning Systems
Mechanical
Semi-solid-state - Rotating Mirror Type
Semi-solid-state - Galvanometer Mirror Type
Semi-solid-state - Prism Type
All-solid-state - Flash
All-solid-state - OPA
1.2.3 Receiver System
SPAD-SoC Technology Development Trends
Localization of SPAD-SoC Facilitates Adoption of Pure Solid-State LiDAR in Vehicles
Case 1:
Case 2:
Case 3:
Case 4:
Case 5:
1.2.4 Information Processing System
Trend 1:
Trend 2:
Case 1:
Case 2:
Case 3:
1.3 LiDAR Types
1.3.1 By Ranging Method:
ToF Is Currently Mainstream, FMCW Is the Future Development Direction
Comparison of Mass Production Implementation between ToF LiDAR and FMCW LiDAR
Detailed technical optimization directions for ToF LiDAR R&D
Lightweight and miniaturization of FMCW LiDAR
1.3.2 By Wavelength:
Summary and Analysis of Current LiDAR Technical Routes
1.3.3 By Optical Control: Solid-state development trend
Is OPA the Ideal Scanning Solution?
Is OPA+FMCW the Ultimate Technical Evolution Direction for LiDAR?
Comparative Analysis of Mainstream Automotive LiDAR Product Technical Routes
Analysis of Key Automotive LiDAR Technology Trends
1.4 Comparison of Solid-State LiDAR Technical Routes
1.5 Cost Breakdown of Solid-State LiDAR
1.6 Continuous Cost Reduction Under Stringent Automotive-Grade Requirements
1.7 R&D Investment Required for Automotive-Grade LiDAR
1.8 Architecture Evolution: Cost Reduction Concept Through Computing Power Migration
Architecture Simplification Case 1:
Chip-Based Cost Reduction Case 1:
Chip-Based Cost Reduction Case 2:
Main Development Directions for LiDAR Chipification in 2025 (1)
Main Development Directions for LiDAR Chipification in 2025 (2)
1.9 New LiDAR Chip Products
Case 1:
Case 2:
Case 3:
Case 4:
Case 5:
Case 6:
1.10 LiDAR Chip Manufacturing Process
The Chip Manufacturing Process Evolves from Front-Side Illumination (FSI) to Back-Side Illumination with Stacking (BSI+Stack)
Miniaturization Trend Case 1:
Miniaturization Trend Case 2:
Digitalization Progress Case 1:
Digitalization Progress Case 2:
1.11 LiDAR Industry Chain


2 Automotive LiDAR Market and Application Vehicles
2.1 Automotive LiDAR Related Standards
2.2 Automotive LiDAR Market Analysis
2.2.1 Automotive LiDAR Price Development Trends
2.2.2 Global and China Automotive LiDAR Market Size
2.2.3 Domestic Automotive LiDAR Installations and Installation Rate (by Year)
2.2.4 Domestic Passenger Vehicle LiDAR Installations and Installation Rate (by Month)
2.2.5 Installations Share Trends of Four Major LiDAR Suppliers
2.2.6 Domestic Passenger Car LiDAR Installation Share (by Price)
2.2.7 LiDAR Installations and Share by Autonomous Driving Level
2.2.8 Passenger Car LiDAR Installations and Share by Number of LiDAR Units
2.2.9 Top 10 Brands of Domestic Passenger Car by LiDAR Installations
2.2.10 Automotive LiDAR Installations and Year-over-Year Growth
2.2.11 Top 11 OEMs and Suppliers by Automotive Pre-installed LiDAR Installations
2.2.12 Installation Share of Leading Automotive LiDAR Manufacturers by Partner OEMs
2.2.13 Installation Share of Other Automotive LiDAR Manufacturers by Partner OEMs
2.3 Domestic LiDAR Application Vehicle Analysis
Case 1: MAEXTRO S800
Case 2:
Case 3:
......
Case 18: GAC Aion 520 LiDAR Edition
Case 19: GAC Toyota bZ3X
Case 20: Leapmotor B10
Partial Models Equipped with LiDAR in Overseas Markets


3 LiDAR Application Scenarios
3.1 Main Application Scenarios of LiDAR
3.2 Emerging Applications of LiDAR
3.3 Non-Automotive Applications of LiDAR
Comparison Between Automotive LiDAR and Robotic LiDAR
Perception Solutions for Humanoid Robots and Robotic Dogs
LiDAR Installation Rate in Robotic Dogs
LiDAR Installation Rate in Humanoid Robots
Pilot Implementations of Domestic and International Humanoid Robots in Automotive Industry
3.4 Robotic Deployment Case: Hesai Technology
LiDAR Sales in Robotics Market
Designed Specifically for Robotics Field: Mini High-Performance 3D LiDAR
LiDAR for Robotics Scenarios: QT128
LiDAR for Robotics Scenarios: XT32
3.5 Robotic Deployment Case: RoboSense
Active Camera - Robotic Eye: Integrating LiDAR Digital Signals with Camera Data
Digital LiDAR Enables Comprehensive Upgrade for Both Automotive and Robotic Perception Capabilities
Robotics Business Dynamics


4 Chinese Automotive LiDAR Suppliers
4.1 Hesai Technology
4.1.1 Profile
4.1.2 R&D Patents
4.1.3 Chipification Roadmap
4.1.4 System Security Development History
4.1.5 Overall LiDAR Supporting
4.1.6 LiDAR Supporting, 2024
4.1.7 Performance, 2021 - 2024
4.1.8 Product Matrix
4.1.9 AT1440
4.1.10 AT512
4.1.11 ATX
ATX Designation Case 1:
ATX Application Case 1:
4.1.12 AT 128
AT128 Designation Case 1:
AT128 Designation Case 2:
AT128 Designation Case 3:
4.1.13 OT128 (1)
4.1.13 OT128 (2)
4.1.13 OT128 (3)
4.1.14 ET25
4.1.15 FTX Series
4.1.16 FT120 (1)
4.1.16 FT120 (2)
4.1.17 JT Series
4.1.18 Cooperation Case (1)
4.1.18 Cooperation Case (2)
4.2 RoboSense
4.2.1 Profile
4.2.2R&D Breakthrough (1)
4.2.2R&D Breakthrough (2)
4.2.3 Core Technology (1)?
4.2.3 Core Technology (2)?
4.2.3 Core Technology (3)?
4.2.4 LiDAR Platforms and Products
4.2.5 Comparison of Main Parameters for LiDAR Platforms and Products
4.2.6LiDAR Supporting, 2024
4.2.7 EM4 (1)
4.2.7 EM4 (2)
4.2.7 EM4 (3)
4.2.8 E1R (1)
4.2.8 E1R (2)
4.2.9 E1
4.2.10 Airy
4.2.11 MX
4.2.12 M3
4.2.13 Cooperation Case
4.3 Seyond
4.3.1 Comprehensive Product Series Analysis (1)
4.3.2 Comprehensive Product Series Analysis (2)
4.3.3 Application Status and Trends in Non-Automotive Fields
4.3.4 Sales and Customer Share, 2022-2025
4.3.5 Cooperation Dynamics
4.3.6 Operational Risks and Improvement Recommendations
4.4 Huawei
4.4.1 LiDAR Development History
4.4.2 LiDAR Product Comparison (1)
4.4.2 LiDAR Product Comparison (2)
4.4.3 LiDAR D2
4.4.4 LiDAR D3
4.4.5 LiDAR D5
4.4.5 LiDAR Core Technology
4.4.6 LiDAR and Autonomous Driving Solutions
4.4.7 Challenges and Countermeasures (1)
4.4.7 Challenges and Countermeasures (2)
4.4.8 Detailed LiDAR Supporting, 2024 (1)
4.4.8 Detailed LiDAR Supporting, 2024 (2)
4.5 Zhuoyu Technology
4.5.1 Comparison of Chengxing Platform Configurations
4.5.2 Comparison of Chengxing Platform’s LiDAR Configurations and Performance
4.5.3 Advantages of LiDAR-Vision Solution (1)
4.5.3 Advantages of LiDAR-Vision Solution (2)
4.6 Livox
4.6.1 Profile
4.6.2 High-Performance 3D LiDAR Series Implementation Status (1)
4.6.2 High-Performance 3D LiDAR Series Implementation Status (2)
4.7 Tanway Technology
4.7.1 Profile
4.7.2 Perception Algorithms
4.7.3 Product Series Comparison
4.7.4 Automotive Application Products
4.7.5 Non-Automotive Applications (1)
4.7.5 Non-Automotive Applications (2)
4.8 ZVISION
4.8.1 Profile
4.8.2 LiDAR Technological Innovation
4.8.3 LiDAR Product Series Comparison
4.8.4 Price of LiDAR Series and Selection Recommendations
4.8.5 Partners
4.9 LiangDao Automotive Technology
4.9.1 Profile
4.9.2 3D Perception Technology
4.9.3 AI Perception Function Development and Data Training
4.9.4 Gen2 Mini
4.9.5 Next-Generation LDSatellite?
4.9.6 Cooperation Dynamics
4.9.7 Customers
4.10 VanJee Technology
4.10.1 Designations and Application Expansion of LiDAR
4.10.2 Comparison of LiDAR Series
4.10.3 WLR-760
4.10.4 WLR-750
4.10.5 WLR-720/719E
4.10.6 WLR-718H/722
4.10.7 Applications of LiDAR in Automotive ADAS
4.10.8 Competitiveness of LiDAR in Automotive ADAS Field
4.10.9 LiDAR Mass Production Capability
4.11 Others
4.11.1 Benewake
4.11.2 WHST
4.11.3 Rayz Technologies

5 Foreign Automotive LiDAR Suppliers
5.1 Luminar
5.1.1 Profile
5.1.2 Development History
5.1.3 Technical Advantages
5.1.4 Ecosystem
5.1.5 Product Roadmap
5.1.6 Iris
5.1.7 Halo
5.1.8 Sentinel?
5.1.9 LiDAR Supporting
5.1.10 Customer Expansion
5.2 Innoviz
5.2.1 Profile & Product Portfolio
5.2.2 Core Technology of LiDAR Matrix
5.2.3 Two Long-Range LiDAR
5.2.4 Vehicle Installations of Two Long-Range Version
5.2.5 Two Mid/Short-Range LiDAR
5.2.6 One’s Specifications and Applications
5.2.7 One’s Performance in Specific Vehicle Models
5.2.8 Revenue and Net Profit Trend, 2023-2025
5.2.9 Commercialization Progress
5.3 Aeva
5.3.1 Latest Dynamics
5.3.2 Revenue and Mass Production Designations
5.3.3 Atlas? Ultra 4D LiDAR
5.3.4 Atlas
5.3.5 Aeries? II
5.4 AEYE
5.4.1 Profile
5.4.2 Performance Trend
5.4.3 Light Asset Mode
5.4.4 Comparison of LiDAR Product Series
5.4.5 Mass Production and Future Capacity Plan of Apollo LiDAR
5.5 Ouster
5.5.1 Profile
5.5.2 Comparison of LiDAR Product Series
5.5.3 Performance
5.6 Valeo
5.6.1 LiDAR Supporting (1)
5.6.2 LiDAR Supporting (2)


6 Development Trends of Automotive LiDAR
Trend 1:
Trend 2:
Trend 3:
Trend 4:
Trend 5:
Trend 6:
Trend 7:
Trend 8:
Trend 9:
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Trend 11:
Trend 12:
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Trend 14:
Trend 15:
Trend 16: