LiDAR (Automotive, Pan-Robotics, etc.) Application Research Report, 2025-2026

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LiDAR research: hardware competition shifts to combined sensing capabilities from "point cloud" to "images” and from automotive to robots

The "LiDAR (Automotive, Pan-Robotics, etc.) Application Research Report, 2025-2026" mainly covers the following content: LiDAR overview and development trends, technical structure and components, market data analysis, core component supplier research, domestic and foreign top LiDAR providers, LiDAR parameter summary, LiDAR technology comparison, LiDAR application in different fields (automotive, pan-robotics), etc.

【Abstract】
In 2025, China's passenger cars installed 3.21 million LiDAR sensors, a year-on-year increase of 110.1%.
High-channel digitalization brings an intergenerational breakthrough from "point cloud" to "images"
The competition intensifies and combined sensing solutions gradually become mainstream
The expansion from automotive to pan-robotic applications is accelerating

1. In 2025, China's passenger cars installed 3.21 million LiDAR sensors, a year-on-year increase of 110.1%.

In 2025, leading OEMs represented by BYD, Changan, Li Auto, etc. continued to promote the "technological equality" strategy, resulting in high-level autonomous driving functions no longer being exclusive to top-of-the-channel vehicle models, but becoming common to all vehicle models. In this context, LiDAR, as one of the core sensors for realizing high-levl functions such as urban NOA, has seen its installation rate rise. In order to support urban NOA, many vehicle models have LiDAR as standard, such as the 2026 Lynk & Co 08 EM-P, WEY Gaoshan (Alpine) 7, AITO M6, Dongfeng Yijing, etc.

China will begin to implement the mandatory national standard "Technical Requirements and Test Methods for Light Vehicle AEB Systems" with the standard number GB 39901-2025 from January 1, 2028. By then, all new vehicle models must meet the requirements of the standard, and vehicle models that have already received type approval will have a transition period of 12 to 24 months to complete technical adaptation. The new national standard has stricter requirements for AEB performance, especially under complex scenarios such as at night. To meet the more stringent AEB test standards in the future, LiDAR has become an indispensable sensing hardware, which provides policy expectations for the long-term installation rate of LiDAR.

With the promotion of autonomous driving systems in vehicles, China’s passenger cars had installed over 5 million LiDAR sensors by 2025. In 2025, China's passenger cars installed 3.21 million LiDAR sensors, a year-on-year increase of 110.1%.

As per the monthly data in the past three years, China's passenger car LiDAR installation rate has maintained a steady upward trend. In May 2025, the LiDAR installation rate exceeded 10%, mainly driven by popular vehicle models such as the newly launched Li L6 and the 2025 AITO M9. In November 2025, the LiDAR installation rate hit 16.6%, which was mainly affected by the robust growth of new vehicle models such as Xiaomi YU7 and 2026 AITO M7. In December 2025, LiDAR set a new high, with the installation rate reaching 18.5%, thanks to Fangchengbao Titanium 7, 2026 NIO ES8, etc.

2. High-channel digitalization brings an intergenerational breakthrough from “point cloud” to “images”

In recent years, LiDAR’s “channel count” (vertical resolution) has become a key indicator of its performance. Mainstream products have rapidly moved from 128 channels and 192 channels to higher specifications. For example, LiDAR with ultra-high channel count includes Huawei's 896-channel dual-optical path image-level LiDAR, Hesai ETX (800 channels) and AT1440 LiDAR (1440 channels), and RoboSense EM4 supports customization from 520 channels to 2160 channels. In 2026, 500-channel LiDAR has become the "new threshold" for flagship smart vehicle models, while 192-channel LiDAR will spread to Volkswagen's vehicle models priced below RMB200,000 as standard.

"High-channel digitalization" is driving the industry from "point-cloud-level" perception to "image-level" perception

On March 4, 2026, Huawei Qiankun released the next-generation dual-optical path image-level LiDAR, which pushed the mass production of 896-channel LiDAR, marking the current highest level in the world. It was first seen in the new versions of Maextro S800 and AITO M9, handling long-tail scenarios of autonomous driving (corner cases):

The recognition distance is significantly extended: the recognition distance of 896-channel LiDAR for low-reflectivity objects (such as black tires) is increased from 42 meters to 122 meters, and the recognition distance of special-shaped obstacles (such as cones) is increased by 77%. This provides longer decision-making reaction time for high-speed driving and fundamentally improves active safety capabilities.

The recognition accuracy is higher across generations: the minimum object height that can be stably recognized has been reduced from 30 cm to 14 cm, and small obstacles such as small cartons, gravel, and fallen traffic cones on the pavement, which were easily ignored in the past, can be accurately recognized. In a night scenario, it can even clearly see the details of a puppy wagging its tail 55 meters away, reaching an "image-level" perception level.

High channel count directly brings exponential improvement in angular resolution. The vertical angular resolution of 192-channel radar is usually around 0.2°, while radar with more than 500 channels can compress the angular resolution to 0.05° or even 0.01°, (such as AT1440 with 0.05° x 0.0125°, AT128 with optimal 0.1° x 0.2°, ATL with 0.08° x 0.1°, EMX with 0.08° x 0.10° global resolution, EM4 with 0.050°×0.025°, Falcon K3 with up to 0.07°×0.03°).

Hesai Technology's AT1440 is an automotive-grade ultra-high-definition LiDAR for high-level autonomous driving. It features 1440 channels and image-level point cloud output, with a single echo point frequency of up to 34 million points/second. It is equipped with Hesai’s fourth-generation self-developed chip, with cutting-edge efficient photosensitivity and ultra-high parallel processing technology. The detection range is up to 300 meters @10%, mainly for L4 and above autonomous driving systems. It is the core sensor of the "Qianliyan A" sensing solution. This solution usually uses four AT1440 sensors to work together to achieve 360° full coverage and zero blind zone sensing. Applications include robotaxis, robotrucks, etc.

Seyond's Falcon K3 long-range LiDAR has an equivalent of 600 channels, an angular resolution of up to 0.07° × 0.03°, and a detection range of 350 meters. It is mainly mounted on NIO's high-end vehicle models and provides key sensing support for L3 and higher-level autonomous driving. 600,000 units had been delivered as of early January 2026 cumulatively.

Behind the resolution jump is the paradigm shift from analog architectures to digital chips, and the evolution from analog signal (APD) architectures to digital signal (SPAD-SoC) architectures. The SPAD (Single-Photon Avalanche Diode) chip is homologous and isomorphic to the camera CMOS, and uses a pixel array, so that increasing the number of channels is like increasing the number of pixels in a camera, and is no longer subject to the physical limitations of the number of analog channels and complex circuits.

For example, RoboSense's EM4 uses VCSEL + SPAD-SoC and integrates many advanced technologies such as digital architecture, crosstalk elimination, full-condition photoelectric signal processing, and lossless data compression. Based on the platform design, EM4 supports customized technical solutions such as 520 channels, 720 channels, 1080 channels, and 2160 channels. At present, the custom-developed 520-channel version, relying on its mature and mass-produced advantages, has been mass-produced for many vehicle models such as IMLS9, IMLS6, and ZEEKR 9X.

EM4 can provide 1080P high-definition three-dimensional perception for vehicles, with the imaging of 25.92 million points/second. It can not only measure distances up to 600 meters, but also accurately recognize distant small objects such as tires, cones, and cartons. Compared with current mainstream LiDAR sensors, EM4 can increase the response time of the autonomous driving system by up to 70%, making the system decision-making and response calmer, and making the autonomous driving experience safer and more comfortable.

The high channel count of automotive LiDAR expands the safety boundary of autonomous driving from "high-probability visible" to "very small probability visible details", providing better "safety redundancy." This transition is the key cornerstone for high-level autonomous driving at L3 and above to move from "available" to "reliable".

3. The competition intensifies and combined sensing solutions gradually become mainstream

Currently, global autonomous driving is in a critical transition from L2+ to L3. At the same time, the overall sales volume of Chinese automobiles is under pressure in 2026. LiDAR, as one of the core components of autonomous driving perception, has upgraded its industry competition from competing on radar performance to providing an overall solution capability of "hardware combination + algorithm collaboration + scenario adaptation".

Regarding the safety standards of different autonomous driving levels, Hesai is an example. In the L2 market, it mainly uses ATX (costing about US$200) to promote the transformation of LiDAR from "high-end configuration" to "safety standard configuration"; in the L3/L4 market, a higher safety limit is defined through high-performance combinations, such as the L3 LiDAR combination (ETX*1 + FTX*2), and the L4 LiDAR combination (AT1440*4 + FTX*4).

Other combined sensing solutions include:

Seyond's "1+2 LiDAR combination" solution: 1*Falcon ultra-long-range main-view LiDAR + 2*Robin W wide-angle LiDAR. These three LiDAR sensors are integrated into NIO's new ES8, building an all-scenario perception matrix from long range to near field, from main view to blind filling.

VanJee Technology’s WLR-760 + WLR-750 autonomous driving perception system: Currently available on ZELOSZ5, its perception system consists of two WLR-760s forward LiDAR sensors and two WLR-750 side and rear LiDAR sensors, achieving all-round, high-precision environmental perception. Z5 is geared towards urban logistics and distribution, with flexible container configuration and multi-mode distribution.

MicroVison's Tri-LiDAR architecture (1*MAVIN + 2*MOVIA S): With the Tri-Lidar architecture, MicroVision provides multiple LiDAR sensors (such as two short-range (MOVIA S) LiDAR sensors and one long-range (MAVIN) LiDAR sensor) integrated into a unified open platform design. This design allows long-range radar (such as the simplified Mavin) to focus on farther detection, while corner LiDAR covers the edge of the field of view, so that they work together to achieve comprehensive environmental perception.

RoboSense's EM4+E1 combination has become one of the preferred sensing solutions for the next-generation robotaxi, and has completed production verification with 8 leading customers around the world. In other fields, for example, on September 15, 2025, RoboSense and MINIEYE reached strategic cooperation. MINIEYE's next-generation iRobo autonomous vehicles - T5 and T8 will be equipped with 3 digital LiDAR sensors from RoboSense, including an automotive-grade 192-channel EMX LiDAR sensor and 2 E1R all-solid-state blind-filling LiDAR sensors, which can greatly improve the perception accuracy and safety redundancy under complex traffic scenarios.

4. The expansion from automotive to pan-robotic applications is accelerating

In addition to automotive applications, LiDAR is being implemented on a large scale in various robot scenarios, providing precise sensing capabilities for AGVs, AMRs, and quadruped and humanoid robots. Among them, lawn mowing robots and autunomous delivery robots have become the main application scenarios. Currently, representative products include Livox's MID-360, Lanhai Photoelectricity’s LDS-M300, RoboSense's Airy/E1R, Hesai’s JT series, etc.

For example, RoboSense sold 303,000 LiDAR sensors in the robotics field in 2025, which are widely used in scenarios such as intelligent lawn mowing robots, autunomous delivery, and humanoid robots. Compared with 2024, RoboSense's sales volume in the robotics field grew strongly by 1141.8% year-on-year.

Since its release in January 2025, Hesai's JT 3D LiDAR has experienced explosive growth in the robotics market thanks to its outstanding performance. From its release to May 2025, Hesai quickly achieved the milestone of delivering 100,000 units; by the end of 2025, it had cumulatively delivered more than 200,000 units. The robot application scenarios include agriculture (Agtonomy), cleaning (Gausium), lawn mowing (Dreame), airports (Boenic), smart measurement (Realsee), game modeling (Black Myth: Wukong), and factory automatic scheduling (BMW’s factory in Germany). In the field of logistics robots, Hesai is also assisting Meituan UAVs, ZELOS autonomous vehicle, Neolix, etc. to bring innovative solutions to urban distribution & logistics.

By expanding into "pan-robotics", leading LiDAR companies can not only multiplex their platform technologies to the robotics arena to support the dual growth of "ADAS + robots", but also diversify business risks and find new growth engines.

Definitions
1 Overview and Trends of Automotive LiDAR
1.1 Overview (1-2)
1.2 Key Components: Scanning Solutions (1-4)
1.2 Key Components: Laser (1-4)
1.2 Key Components: Detectors (1-3)
1.2 Key Components: Processors (1-3)
1.3 Product Comparison of Component Suppliers
1.4 Comparison of Chip Technologies (1-2)
1.5 Product Parameter Summary of Chinese Providers (1-8)
1.6 Product Parameter Summary of Foreign Suppliers (1-3)
1.7 LiDAR Comparison: above 500 channels
1.7 LiDAR Comparison: below 500 channels
1.8 Industry Chain
1.9 Trends
Trend 1:
Trend 2:
Trend 3:
Trend 4:
Trend 5:
Trend 6:

2 Automotive LiDAR Market
2.1 Automotive LiDAR Installation Rate
2.1 Automotive LiDAR Installation Rate (Monthly)
2.2 Automotive LiDAR Installation Strategy (1-2)
2.3 Characteristics of Automotive Forward LiDAR Installations (1): Price Range
2.3 Characteristics of Automotive Forward LiDAR Installations (2): Joint Venture Brands
2.3 Characteristics of Automotive Forward LiDAR Installations (3): Independent Brands
2.3 Characteristics of Automotive Forward LiDAR Installations (4): Suppliers
2.4 Characteristics of Automotive Side LiDAR Installations (1): Price Range
2.4 Characteristics of Automotive Side LiDAR Installations (2): Joint Venture Brands
2.4 Characteristics of Automotive Side LiDAR Installations (3): Independent Brands
2.4 Characteristics of Automotive Side LiDAR Installations (4): Suppliers
2.5 Characteristics of Automotive Rear LiDAR Installations
2.6 Automotive LiDAR Price Characteristics
2.7 LiDAR Solutions for Vehicle Models Priced at RMB150,000-200,000
2.7 LiDAR Solutions for Vehicle Models Priced at RMB200,000-250,000
2.7 LiDAR Solutions for Vehicle Models Priced at RMB250,000-300,000
2.7 LiDAR Solutions for Vehicle Models Priced at RMB300,000-350,000
2.7 LiDAR Solutions for Vehicle Models Priced at RMB350,000-400,000
2.7 LiDAR Solutions for Vehicle Models Priced at RMB400,000-500,000
2.7 LiDAR Solutions for Vehicle Models Priced at RMB500,000+
2.8 Forecast of Automotive LiDAR Installations and Market Size
2.9 Forecast of Average Passenger Car LiDAR Installations
2.10 Passenger Car Installations and Installation Rates by Autonomous Driving Level, 2026-2030E
2.11 Passenger Car LiDAR Installations and Installation Rates by Autonomous Driving Level, 2026-2030E
2.12 Passenger Car LiDAR Installations and Market Size, 2026-2030E
2.13 Automotive LiDAR Price Trend

3 LiDAR Applications in Different Fields
3.1 Summary of Automotive LiDAR Applications: Passenger Cars (1)
3.1 Summary of Automotive LiDAR Applications: Passenger Cars (2)
3.1 Summary of Automotive LiDAR Applications: Passenger Cars (3)
------
3.1 Summary of Automotive LiDAR Applications: Passenger Cars (9)
3.2 Summary of Automotive LiDAR Applications: Robotaxis (1)
3.2 Summary of Automotive LiDAR Applications: Robotaxis (2)
3.2 Summary of Automotive LiDAR Applications: Robotaxis (3)
3.2 Summary of Automotive LiDAR Applications: Robotaxis (4)
3.3 Summary of Automotive LiDAR Applications: Autonomous Delivery Vehicles (1)
3.3 Summary of Automotive LiDAR Applications: Autonomous Delivery Vehicles (2)
3.3 Summary of Automotive LiDAR Applications: Autonomous Delivery Vehicles (3)
3.4 Summary of Non-automotive LiDAR Applications: robots (1)
3.4 Summary of Non-automotive LiDAR Applications: robots (2)
3.5 Summary of Non-automotive LiDAR Applications: Humanoid Robots (1)
3.5 Summary of Non-automotive LiDAR Applications: Humanoid Robots (2)
3.6 Summary of Non-automotive LiDAR Applications: Robotic Dogs
3.7 Summary of Non-automotive LiDAR Applications: Lawn Mowing Robots (1)
3.7 Summary of Non-automotive LiDAR Applications: Lawn Mowing Robots (2)
3.7 Summary of Non-automotive LiDAR Applications: Lawn Mowing Robots (3)
3.8 Summary of Non-automotive LiDAR Applications: Cleaning Robots

4 LiDAR Component Suppliers
4.1 Fortsense
LiDAR Channelup (1)
LiDAR Channelup (2)
Large-array SPAD-SoC
Large-array SPAD-SoC
All-solid-state Light Deflection “Omni-Directional Light Control?” Technology
Automotive-grade Mass Production (1)
Automotive-grade Mass Production (2)

4.2 ADAPS
Profile
SPAD Chip Development History
Product Matrix (1)
Product Matrix (2)
Product Matrix: ADS6311 Solid-state LiDAR SPAD chip (1)
Product Matrix: ADS6311 Solid-state LiDAR SPAD chip (2)
Product Matrix: ADS6401 Module
Product Matrix: ADS6401 Module (Consumer-grade Robot Perception) (1)
Product Matrix: ADS6401 Module (Consumer-grade Robot Perception) (2)
Sensitive Photonic Product Matrix: ADS6303 Module & SiPM
Product Matrix: ADS6102 Module

4.3 Sophoton
Product Matrix
The Next-generation Single-point SPAD-SoC (1)
The Next-generation Single-point SPAD-SoC (2)
The Next-generation Single-point SPAD-SoC (3)
Single-point SK103/SK104
The Latest High-performance and Low-cost Array SPAD-SoC SA100 (1)
The Latest High-performance and Low-cost Array SPAD-SoC SA100 (2)
The Latest High-performance and Low-cost Array SPAD-SoC SA100 (3)

4.4 MORELITE
Profile
Multi-Channel Long Distance Silicon Optical Module
LARK Automotive FWCW LiDAR (1)
LARK Automotive FWCW LiDAR (2)
LARK Automotive FWCW LiDAR (3)
FR60 Robot FMCW LiDAR (1)
FR60 Robot FMCW LiDAR (2)
FR60 Robot FMCW LiDAR (3)
FR60 Robot FMCW LiDAR (4)
FMCW Spherical LiDAR
Summary of Typical Cooperation

4.5 Siliconroad
Profile
SRS4201O High-side Integrated Laser Driver (1)
SRS4201O High-side Integrated Laser Driver (2)
SRS4103Q LiDAR Receiving Analog Chip (1)
SRS4103Q LiDAR Receiving Analog Chip (2)
SRS4104S LiDAR Receiving Analog Chip (1)
SRS4104S LiDAR Receiving Analog Chip (2)
SRS4100Q LiDAR Receiving Analog Chip
SRS4203S Low-side Integrated Laser Driver (1)
SRS4203S Low-side Integrated Laser Driver (2)
SRS4204S Low-side Integrated Laser Driver (1)
SRS4204S Low-side Integrated Laser Driver (2)
Summary of Typical Cooperation

4.6 Raysees
Profile
Mass Production Bases
VCSEL Optical Chip Technology
Core VCSEL Technology
VCSEL Chip Shipments
Laser Emission Module
Laser Emission Module - PRAY
Laser Emission Module - XRAY
Laser Emission Module - SRAY
Laser Emission Module - TRAY
Consumer VCSEL Chips (1)
Consumer VCSEL Chips (2)
Automotive-grade VCSEL
Single-mode Polarization-locked VCSEL (1)
Single-mode Polarization-locked VCSEL (2)

4.7 Microparity
Profile
ASIC Product Line: MPT2321
ASIC Product Line: MPT2321/MPT264-B
ASIC Product Line: MPT2022
ASIC Product Line: MPT2042
ASIC Product Line: MPT2082
ASIC Product Line: MPT2043
ASIC Product Line: MPT2083
SiPM for LiDAR: MPA013-1325/MPT081-0425
SiPM for LiDAR: MPT011-0425/MPT014-1325
SiPM for Other Fields: MPT012-3040/MPT012-1040
SPAD: MPX106/MPA1301
Module: MPT1201/MPI501
Module: MPT2321-MA12/MPT2321-MA256

5 Domestic Automotive LiDAR Suppliers
5.1 HESAI
Product Matrix
LiDAR: ETX 800-channel Ultra-long-range LiDAR (1)
LiDAR: ETX 800-channel Ultra-long-range LiDAR (2)
...............
LiDAR: Next-generation FTX Solid-state LiDAR (1)
LiDAR: Next-generation FTX Solid-state LiDAR (2)
LiDAR: AT1440 Ultra-high-definition Ultra-long-range LiDAR
LiDAR: ATX Ultra-high-definition Long-range LiDAR (1)
LiDAR: ATX Ultra-high-definition Long-range LiDAR (2)
LiDAR: AT128 Ultra-high-definition Long-range LiDAR
LiDAR: ATL Ultra-high-definition Long-range LiDAR
LiDAR: JT
LiDAR: JT Application (1)
LiDAR: JT Application (2)
LiDAR: JT16 Short-range LiDAR
LiDAR: JT128/64P
Mini Super Hemispheric 3D LiDAR: JT128
Mini Super Hemispheric 3D LiDAR: JT128
Mini Super Hemispheric 3D LiDAR: JT128
LiDAR: XT32M/32/16
LiDAR: XT32M/32/16
LiDAR: QT128
LiDAR: OT128
LiDAR: PANDAR128
"Qianliyan" Perception Solution for L2 to L4
"Qianliyan A" Perception Solution
"Qianliyan B" Perception Solution
"Qianliyan C" Perception Solution
Summary of Typical Cooperation in the Automotive Field (1)
Summary of Typical Cooperation in the Automotive Field (2)
Production Capacity and Delivery (1)
Production Capacity and Delivery (2)

5.2 RoboSense
Full-stack Chip Technology (1)
Full-stack Chip Technology (2)
Full-stack Chip Technology (3)
LiDAR Receiving and Processing SoC (1)
LiDAR Receiving and Processing SoC (2)
LiDAR Receiving and Processing SoC (3)
Digital EM Platform
Digital EM Platform: EMX (1)
Digital EM Platform: EMX (2)
Digital EM Platform: EMX (3)
Digital EM Platform: EM4 (1)
Digital EM Platform: EM4 (2)
Digital EM Platform: EM4 (3)
E Platform-based Products: E1 (1)
E Platform-based Products: E1 (2)
EM4+E1 High-performance Combination (1)
EM4+E1 High-performance Combination (2)
EM4+E1 High-performance Combination (3): Application Cases
E Platform-based Products: E1R
Application Cases of E1R (1)
Application Cases of E1R (2)
R Platform-based Products: Airy (1)
R Platform-based Products: Airy (2)
Application Cases of Airy
R Platform-based Products: Fairy (1)
R Platform-based Products: Fairy (2)
First EAI Solution (1)
First EAI Solution (2)
First EAI Solution (3)
Autonomous Delivery Vehicle Cooperation (1)
Autonomous Delivery Vehicle Cooperation (2)
Summary of Typical Cooperation in the Automotive Field (1)
Summary of Typical Cooperation in the Automotive Field (2)
Automotive LiDAR Delivery in 2025
Robotic LiDAR Delivery in 2025 (1)
Robotic LiDAR Delivery in 2025 (2)

5.3 Seyond
Technology Route
Product Matrix
Falcon K1 - The First-generation Ultra-long-range LiDAR
Falcon K2 - The Second-generation Ultra-long-range LiDAR
Falcon K3 - The Third-generation Ultra-long-range LiDAR
Falcon K24 - Ultra-long range LiDAR (Commercial Vehicles)
Robin E1X - Long-Range LiDAR (1)
Robin E1X - Long-Range LiDAR (2)
Robin E2 - High-Resolution Digital Main View LiDAR
Robin W - Wide Angle LiDAR
Hummingbird D1 - Solid-state Ultra-Wide-Angle LiDAR
"1+2 LiDAR combination" solution (1)
"1+2 LiDAR combination" solution (2)
Summary of Typical Cooperation

5.4 Huawei
SL210 High-precision Solid-state LiDAR
D2 Automotive LiDAR
D2 Automotive LiDAR Installations by Vehicle Model, 2025
D3 Automotive LiDAR (1)
D3 Automotive LiDAR (2)
D3 Automotive LiDAR Installations by Vehicle Model, 2025
D3 Automotive LiDAR Installations by Vehicle Model, 2025
Qiankun Limera Laser Vision (1)
Qiankun Limera Laser Vision (2)
Qiankun Limera Laser Vision (3)
Dual-optical-path Image-level LiDAR (1)
...............
Dual-optical-path Image-level LiDAR (5)
LiDAR and Autonomous Driving Solution

5.5 VanJee Technology
Laser Product Development Roadmap
LiDAR Portfolio
WLR-716 Mini LiDAR
WLR-719E 3D Security LiDAR
GUJ100 (WLR-720) 32-channel Mechanical Intrinsically Safe LiDAR
WLR-722 LiDAR (1)
WLR-722 LiDAR (2)
GUJ30 LiDAR (WLR-750)
WLR-760 LiDAR
WLR-760 + WLR-750 Autonomous Driving Perception System (1)
WLR-760 + WLR-750 Autonomous Driving Perception System (2)
WLR-733 LiDAR
LiDAR and Vision Integration

5.6 Livox
Profile
LiDAR Array
Mid-360
Application Fields of Mid-360
Latest Typical Cooperation Summary of Mid-360

5.7 Rayz Technologies
Product Array
H260 Long-range, Cost-effective Automotive-grade LiDAR and Application Cases
HX Medium- and Long-range Ultra-high Cost Performance Automotive-grade LiDAR (1)
HX Medium- and Long-range Ultra-high Cost Performance Automotive-grade LiDAR (2)
W100 Medium and Short-range Wide-angle Automotive-grade LiDAR

5.8 LuminWave
Product Line
DS Series High-performance Solid-state Array LiDAR (1)
DS Series High-performance Solid-state Array LiDAR (2)
F Series Silicon Photonic FMCW 4D LiDAR (1)
F Series Silicon Photonic FMCW 4D LiDAR (2)

5.9 Zvision
Profile
EZ6 SPAD LiDAR
EZ5 SPAD LiDAR
Next-generation NZ1 Short-range Solid-state LiDAR for Pan-robotics (1)
Next-generation NZ1 Short-range Solid-state LiDAR for Pan-robotics (2)
Application Cases of Next-generation NZ1 Short-range Solid-state LiDAR for Pan-robotics

5.10 LiangDao Intelligence
Profile
Gen2 Mini (1)
Gen2 Mini (2)
Flash Solid-state LiDAR: LD Gen2 Lite
Data Factory (1)
Data Factory (2)
Data Factory (3)
Capacity and Customers

5.11 Litra Technology
Profile
Development History
Core Technologies (1)
Core Technologies (2)
V01/U01 OPA Solid-state LiDAR
LT-X Long-range OPA Solid-state LiDAR
LT-C1 Multi-channel LiDAR
Single-channel LiDAR Array
LTME-02A LiDAR
LT-R1 LiDAR
LT-R2 LiDAR
LT-I1 LiDAR
LT-I2 LiDAR
LT-I3 LiDAR

5.12 LeiShen Intelligent System
Profile
Product Matrix
LiDAR CH16R/CH32R
LiDAR C32W
LiDAR: C32/16
LiDAR: C4/C8
CB64S1 Hybrid Solid-State LiDAR
CH128 Hybrid Solid-State LiDAR
CX128S2 Hybrid Solid-State LiDAR
LS-S4 Ultra-long-range Fiber LiDAR
LS-S3 Fiber Automotive-grade LiDAR
LS-S2 Fiber Automotive-grade LiDAR
LS500W1 Large-FoV Blind-filling LiDAR

5.13 OLEI
Product Matrix (1)
Product Matrix (2)
Product Matrix (3)

5.14 Lanhai Photoelectricity
Profile
3D LiDAR
LDS-M300 3D LiDAR
LDS-S110 3D LiDAR
LDS-S300 3D LiDAR
2D LiDAR
2D LiDAR

5.15 Senfoto

6 Foreign Automotive LiDAR Suppliers
6.1 MicroVision
Profile
Tri-LiDAR Architecture
MAVIN Ultra-high-resolution LiDAR
MOVIA? S (1)
MOVIA? S (2)
MOVIA? L (1)
MOVIA? L (2)
MOVIA? L for Automotive Use (1)
MOVIA? L for Automotive Use (2)
MOVIA? L for Industrial Use (1)
MOVIA? L for Industrial Use (2)

6.2 Innoviz
Profile
Product Portfolio
InnovizThree
InnovizSMART
InnovizTwo --Long-range LiDAR
InnovizTwo --Medium/Short-range LiDAR
InnovizOne --Solid-state LiDAR
Automotive Applications of LiDAR (1)
Automotive Applications of LiDAR (2)
Automotive Applications of LiDAR (3)
Automotive Applications of LiDAR (4)
LiDAR Supply
Dynamics

6.3 Aeva
Aeva Omni
Aeva Eve? 1V
Aeva Aeries? II
Aeva Atlas
Aeva Atlas Orion 4D LiDAR
Aeva Atlas? Ultra 4D LiDAR (1)
Aeva Atlas? Ultra 4D LiDAR (2)
Aeva Atlas? Ultra 4D LiDAR (3)
Performance
Latest Cooperation Dynamics (1)
Latest Cooperation Dynamics (2)

6.4 AEYE
Profile
AEYE Stratos LiDAR
AEYE Apollo LiDAR (1)
AEYE Apollo LiDAR (2)
AEYE OPTIS?
Business Progress in 2025
Latest Cooperation Dynamics

6.5 Ouster
Profile
LiDAR Comparison
Performance (1)
Performance (2)

6.6 Valeo
SCALA 3 Evo LiDAR
SCALA? Gen 3
Comparison between SCALA? Gen 3 and SCALA 1
LiDAR Supply (1)
LiDAR Supply (2)

6.7 KOITO
LiDAR Channelup (1)
LiDAR Channelup (2)

6.8 Vueron
6.9 Voyant
6.10 Lumotive
6.11 MorpheusTEK

Automotive AIOS Research Report, 2026

Automotive AIOS Research: Mass Production Solutions Are Implemented Mass Production Solutions Are Implemented on A Small Scale. In 2026, AIOS starts small-scale implementation, helping to improve v...

Automotive Telematics Service Provider (TSP) Research Report, 2026

TSP Research: Leading providers collectively turn to AI agents to provide all-scenario active services Telematics Service Providers (TSPs) are the core hub of the telematics industry chain, connectin...

Automotive Smart Interior Research Report, 2026

Smart Interior Research: As Technologies like Interactive Starlight Headliner, Hidden Display and Surface Projection Are Launched, Automotive Interiors Become Ever More Intelligent The Automotive Sma...

Research Report on AI Applications in Cockpits, 2026

AI Application in Cockpits: AI Services Become More Comprehensive, Convenient, and Refined. In the first half of 2026, cockpit AI functions underwent initial upgrades across multiple dimensions, inc...

Software-Defined Vehicles in 2026: OEM Software Development and Supply Chain Deployment Strategy Research Report

Research on OEMs’ Software Strategies: R&D Focus, Development Strategies and Supplier Building Models of 30 OEMs In this paper, we adopt a research framework covering 13 subsystems and 48 sub-di...

Passenger Car Chassis Domain Control and Chassis Cross-Domain Integration Research Report, 2026

Chassis Control Research: Mass Production of Full Chassis-by-Wire Solutions Starts 1. A Cluster of Full Chassis-by-Wire Solutions Make Their Debut, and EMB Enters Mass Production and Adoption for the...

Central Domain Control (Powertrain, Chassis, Body) and Motion Controller Research Report, 2026

Central Domain Control and Motion Control Research: XYZ Coordinated Control and Full X-by-Wire Actuation System With the gradual penetration of L3+ autonomous driving, the chassis control system is ...

48V Low-voltage Power Distribution Network (PDN) Architecture and Supply Chain Panorama Research Report, 2026

Research on 48V Low-Voltage Power Distribution Network （PDN): An Active 48V Supply Chain, with Priority Deployment in High-Power Scenarios Such as Steer-by-Wire Chassis The automotive 48V low-voltage...

AI-Defined Vehicle (AIDV) OEMs' Deployment Strategies Research Report, 2026

AIDV Research: Deployment Strategies of 22 OEMs The AI-Defined Vehicle (AIDV) OEMs' Deployment Strategies Research Report, 2026, released by ResearchInChina, analyzes the AI deployment strategies of ...

OEMs’ Passenger Car Model Planning Research Report, 2026

Vehicle Model Planning Research: Chinese OEMs Launch Sub-Brands Intensively, While Multinational OEMs Apply the Brakes to Electrification Strategies ResearchInChina released the OEMs’ Passenger Car M...

Autonomous Driving Simulation and World Model Research Report, 2026

Autonomous driving simulation research: "Simulation test + world model"-driven test system has become R&D infrastructure. The "Autonomous Driving Simulation and World Model Research Report, 2026"...

Cockpit-Driving Integration Central Domain Controller SoC and AI Supercomputing Architecture Research Report, 2026

Cockpit-Driving integration and AI supercomputing research: The One Chip solution is rapidly installed in vehicles, and AI supercomputing architectures are moving towards full-domain integration. AI ...

Intelligent Driving End-to-End Large Model Research Report, 2026

Research on Intelligent Driving Large Models: A Critical Period for Technological Competition and Paradigm Integration As autonomous driving technology rapidly iterates from L2 to L3?L4, intelligent...

Automotive Digital Key Industry Trend Report, 2026

Digital Key Research: Automotive BLE, UWB and SLE Hardware Layout The Automotive Digital Key Industry Trend Report, 2026, released by ResearchInChina, analyzes and predicts the digital key market, co...

Monthly Report on Automotive New Technology (May 2026)

UHD gaze technology, full-color LiDAR, UWB, etc. promote the upgrade of intelligent driving perception capabilities This report is published once a month and is available for annual subscription.The...

In-Cabin Monitoring Systems (DMS, OMS, etc.) Research Report, 2026

In-Cabin Monitoring System Research: DMS to Become Mandatory in 2027, Expected to be Installed in Over 14 Million Vehicles ResearchInChina released the In-Cabin Monitoring Systems (DMS, OMS, etc.) Re...

Automotive Service-Oriented Architecture (SOA) and Cross-Domain Middleware Industry Report, 2026

Research on automotive SOA and cross-domain middleware: The era of AI atomic services and AI cross-domain fusion agents is coming. Automotive SOA evolves towards AI + full SOA servitization Driv...

Automotive Display, Center Console and Cluster Industry Report, 2026

Automotive Display Research: Multi-Screen Application Slows Down, While OLED and MiniLED Are Introduced in Vehicles Quickly In 2026, automotive displays will no longer excessively pursue the number a...

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