Global and China In-vehicle LiDAR Industry Report, 2017-2022

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Date: 25-Jun-2018
No. of pages: 130
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Global automotive LiDAR sensor market was USD300 million in 2017, and is expected to reach USD1.4 billion in 2022 and soar to USD4.4 billion in 2027 in the wake of large-scale deployment of L4/5 private autonomous cars.

Being subject to autonomous driving technologies as well as laws and regulations, the autonomous driving companies has limited demand for LiDAR as yet. Mature LiDAR firms are mostly foreign ones, such as Valeo and Quanergy. Major companies that have placed LiDARs on prototype autonomous driving test cars are Velodyne, Ibeo, Luminar, Valeo and SICK. There are four firms that have already brought or plan to bring products to the market, specifically;


  • Continental SRL1: State-of-the-art LiDAR for Advanced Driver Assistance Systems, single-beam solid-state LiDAR, installed on Volvo XC60 and S60L;

  • Valeo SCALA Gen.1, mechanical 4-beam LiDAR, installed on Audi A8/A7/A6;

  • InnovizOne (MEMS solid-state LiDAR), will be installed on L3 autonomous car to be launched by BMW in 2021;

  • Quanergy S3 (OPA LiDAR), will be installed on new luxury electric model- Emotion built by Fisker.


Chinese LiDAR companies lag behind key foreign peers in terms of time of establishment and technology. LiDARs are primarily applied to autonomous logistic vehicles (JD and Cainiao) and self-driving test cars (driverless vehicles of Beijing Union University and Moovita). Baidu launched Pandora (co-developed with Hesai Technologies), the sensor integrating LiDAR and camera, in its Apollo 2.5 hardware solution.

LiDAR will become smaller, solid-state and more cost-effective in the future. Solid-state LiDAR needs no rotating parts and hence is smaller and easily integrated in car body. Moreover, the reliability is improved and the costs can be reduced in great measure. So, the solid state of LiDAR will be an inevitable trend.

Most mainstream LiDAR vendors plan to launch solid-state radar around 2020, following technological routes of MEMS, OPA and Flash.

According to ADAS and autonomous driving plans of major OEMs, most of them will roll out SAE L3 models around 2020. Overseas OEMs: PAS SAE L3 (2020), Honda SAE L3 (2020), GM SAE L4 (2021+), Mercedes Benz SAE L3 (Mercedes Benz new-generation S in 2021), BMW SAE L3 (2021). Domestic OEMs: SAIC SAE L3 (2018-2020), FAW SAE L3 (2020), Changan SAE L3 (2020), Great Wall SAE L3 (2020), Geely SAE L3 (2020), and GAC SAE L3 (2020). The L3-and-above models with LiDAR are expected to share 10% of ADAS models in China in 2022. The figure will hit 50% in 2030.

Global and China In-vehicle LiDAR Industry Report, 2017-2022 focuses on the followings:


  • In-vehicle LiDAR market (status quo of application, market size forecast);

  • Leading in-vehicle LiDAR companies at home and abroad (development course, profile, financing, LiDAR products, product planning & technical direction, partners, etc.);

  • Trends of LiDAR Technologies and Costs.

Global and China In-vehicle LiDAR Industry Report, 2017-2022

Table of Contents

1 LiDAR Overview
1.1 Definition, Operating Principle and Composition
1.2 Classification
1.3 Merits & Demerits
1.4 Application in Autonomous Driving
1.4.1 HD Mapping
1.4.2 Point Cloud Based Localization
1.4.3 Obstacle Detection

2 Global LiDAR Industry Chain

3 LiDAR Applications and Market Size
3.1 LiDAR Installation in Passenger Cars on Sale/to be on Sale Soon
3.1.1 Continental SRL1: State-of-the-art LiDAR for Advanced Driver Assistance Systems
3.1.2 Valeo SCALA Gen.1
3.1.3 InnovizOne Will Be Installed to L3 Autonomous Vehicles to be launched by BMW in 2021
3.1.4 Quanergy S3 Will Be Installed to the New Luxury Electric Model Emotion of Fisker Inc.
3.2 LiDAR Applied in Autonomous Vehicle Prototypes
3.3 LiDAR Market Size and Forecast

4 World’s LiDAR Vendors
4.1 Quanergy
4.1.1 Profile
4.1.2 LiDAR Products
4.1.3 Financing
4.1.4 Partners
4.1.5 Production Bases
4.2 Valeo
4.2.1 Profile
4.2.2 Valeo SCALA? LiDAR Roadmap
4.2.3 Partners
4.3 Velodyne
4.3.1 Profile
4.3.2 Production Bases
4.3.3 Products
4.3.4 Product Roadmap
4.3.5 Partners
4.3.6 Operation
4.4 Ibeo
4.4.1 Profile
4.4.2 Products
4.4.3 Product Roadmap
4.4.4 Application of LiDAR Products
4.5 LeddarTech
4.5.1 Profile
4.5.2 Financing
4.5.3 Products
4.5.4 Partners
4.6 Innoviz
4.6.1 Profile
4.6.2 Financing
4.6.3 LiDAR Products
4.6.4 Partners
4.7 Others
4.7.1 Blackmore
4.7.2 Ouster
4.7.3 Luminar
4.7.4 Aeye

5 Leading Chinese LiDAR Companies
5.1 SureStar
5.1.1 Profile
5.1.2 Development Course
5.1.3 Financing
5.1.4 Navigation LiDAR
5.2 Hesai Technologies
5.2.1 Profile
5.2.2 Development Course
5.2.3 Financing
5.2.4 In-vehicle LiDAR Products
5.3 RoboSense
5.3.1 Profile
5.3.2 Development Course
5.3.3 Financing
5.3.4 Products
5.3.5 “Prometheus” Program
5.3.6 Partners
5.4 LeiShen Intelligent System
5.4.1 Profile
5.4.2 Financing
5.4.3 Products
5.4.4 LiDAR Development Plan

6 Development Trends of LiDAR
6.1 Miniaturization, Solid State and Low Cost Will Be Focuses in Future
6.2 Most LiDAR Vendors First Select MEMS and Then OPA Technologies for Solid-state LiDAR
6.2.1 MEMS Solid-state LiDAR
6.2.2 Phased Array Solid-state LiDAR
6.2.3 Plane Array Imaging LiDAR
6.2.4 Other Technical Solutions
6.3 Well Fused with Vehicle Body and Meets Automotive Grade
6.4 The Price of Mass-produced Solid-state LiDAR Possibly Drops to Hundreds of Dollars

List of Charts

Comparison of Performance between LiDAR and Other Sensors
Point Cloud Based Localization
Key Technologies for LiDAR
Core Components of LiDAR
LiDAR Industry Chain
Interior Rearview Mirror Modules for Basic Vehicle Models Equipped with Continental LiDAR and City Safety System
Performance Parameters of Valeo SCALA Gen.1
Place of Valeo SCALA Gen.1 Installed in Audi A8
Key Parameters of InnovizOne?
Parameters of Quanergy S3
Application of LiDAR to Autonomous Vehicle Prototypes
LiDAR Market Size Prediction
Permeability of SAE’s L3-above Automated Driving Technologies
Application of LiDAR to ADAS
PSA’s Automated Driving Roadmap and Functional Planning
Honda’s Automated Driving Roadmap and Functional Planning
Mercedes-Benz’s Automated Driving Roadmap and Functional Planning
GM’s Automated Driving Roadmap and Functional Planning
SAIC’s Automated Driving Roadmap and Functional Planning
FAW’s Automated Driving Roadmap and Functional Planning
Changan’s Automated Driving Roadmap and Functional Planning
Geely’s Automated Driving Roadmap and Functional Planning
GAC’s Automated Driving Roadmap and Functional Planning
Parameters of Quanergy LiDAR
Quanergy LiDAR Roadmap
Quanergy’s Financing
Quanergy’s Partners
Quanergy’s Plant in San Jose, Silicon Valley
Valeo SCALA? LiDAR Product Roadmap
Valeo’s Partners
Velodyne’s Product Matrix
Velodyne’s Product Roadmap
Ibeo’s Development Course
Ibeo’s LiDAR Products
Ibeo’s LiDAR Product Roadmap
LeddarTech LCA2/ LCA3 Product Planning
LeddarVu8 LiDAR Structure Diagram
Parameters of LeddarVu8 LiDAR
Parameters of LeddarOne Single-Element Sensor Module
Parameters of IS16 Multi-Element Industrial Sensor
Parameters of LEDDAR M16
Parameters of Leddar d-tec
Innoviz’s Financing
Key Parameters of InnovizOne?
Key Parameters of InnovizPro?
Luminar LiDAR
Key Parameters of R-Fans LiDAR
Key Parameters of C-Fans LiDAR
Performance Parameters of Pandar40 LiDAR
Pandar GT
Pandora
RoboSense’s Development Course
List of RoboSense’s Products
Parameters of RS-LiDAR-16
Parameters of RS-LiDAR-32
Parameters of RS-LiDAR-M1
Density Decomposition of Radar Beams at Different Angles of Four 16-beam LiDAR Coupling Solutions
Parameters of Four 16-beam LiDAR Coupling Solutions
RoboSense’s Partners (Partial)
List of LeiShen Intelligent System’s Products
Parameters of LS01 Series 360° 2D LiDAR Scanner
Parameters of LS02 Series Solid-state LiDAR
Parameters of LS03 Phase-based LiDAR
Parameters of N301 Series TOF Navigation and Obstacle Avoidance LiDAR
Parameters of N1 Series TOF2D LiDAR
Parameters of WXX0X Series AGV Anti-collision LiDAR
Parameters of CX Series Multi-beam LiDAR
Parameters of C1 Series TOF Vehicle LiDAR
Parameters of M006 Fixed Height LiDAR
LeiShen’s LiDAR System Solutions and Boards
LeiShen’s LiDAR Development Plan
LeiShen’s 3DFLASH LiDAR Development Plan
Comparison of Application between Mechanical LiDAR and Solid-state LiDAR
Product Planning and Mass Production Technologies of Major LiDAR Vendors
Schematic Diagram of MEMS Scanning Mirror Based Hybrid Solid-state LiDAR
Comparison of Performance between MEMS Scanning Mirrors of Four Driving Principles
Schematic Diagram of Quanergy Optical Phased Array (OPA) LiDAR S3
Schematic Diagram of TetraVue LiDAR
Self-driving Prototype Vehicle Developed on Toyota Platform 3.0
Self-driving Prototype Vehicle Developed on Toyota Platform 2.0

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