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市場調查報告書
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2007697

LiDAR（LiDAR）的應用現況（汽車、通用機器人等）（2025-2026 年）

LiDAR (Automotive, Pan-Robotics, etc.) Application Research Report, 2025-2026
出版日期: | 出版商: ResearchInChina | 英文 420 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

概括

預計到 2025 年，中國乘用車將配備 321 萬個雷射雷達感測器，比上一年成長 110.1%。

高通道資料的數位化代表著從「點雲」到「影像」的世代飛躍。

隨著競爭加劇，多感測解決方案正逐漸成為主流。

從汽車應用到通用機器人應用的擴展正在加速。

1. 到 2025 年，中國乘用車將配備 321 萬個雷射雷達感測器，比上一年成長 110.1%。

2025年，比亞迪、長安汽車、理想汽車等主要汽車製造商持續推行「技術均等化」策略。因此，先進的自動駕駛功能不再是高階車型的專屬，而是逐漸普及到所有車型。在此背景下，作為城市自動駕駛等先進功能核心感測器之一的LiDAR（LiDAR）的搭載率不斷提高。為了支援城市自動駕駛，包括2026年領克08 EM-P、威高山7、愛拓M6和東風億京在內的多款車型均標配雷射雷達。

在中國，強制國家標準GB 39901-2025《小型車輛自動緊急煞車系統技術要求及試驗方法》將於2028年1月1日生效。屆時，所有新車必須符合該標準的要求，而已獲得型式認可的車型將有12至24個月的過渡期以完成技術合規。這項新的國家標準對自動緊急煞車系統的性能提出了更嚴格的要求，尤其是在夜間等複雜條件下的性能。為了滿足未來日益嚴格的自動緊急煞車系統測試標準，LiDAR已成為不可或缺的感測硬體，這體現了政策對雷射雷達長期搭載率的預期。

隨著車載自動駕駛系統的普及，到 2025 年，中國乘用車上將安裝超過 500 萬個雷射雷達感測器。 2025 年，中國乘用車上安裝的雷射雷達感測器數量達到 321 萬個，比上一年成長 110.1%。

根據過去三年的月度數據，中國乘用車雷射雷達（LiDAR）的搭載率持續穩定上升。 2025年5月，得益於力獅L6和2025款愛拓M9等熱門車款的上市，搭載率突破10%。 2025年11月，搭載率搭載率18.5%，創歷史新高。

2. 大量通道的數位化將帶來從「點雲」到「影像」的世代飛躍。

近年來，LiDAR的「通道數」（垂直解析度）已成為衡量其性能的重要指標。主流產品正迅速從128通道和192通道型號過渡到更高規格型號。例如，超高通道數雷射雷達包括華為的896通道雙光路影像級雷射雷達、合賽的ETX（800通道）和AT1440雷射雷達（1440通道），以及RoboSense的EM4，其通道數可從520通道定製到2160通道不等。預計到2026年，500通道LiDAR將成為旗艦智慧汽車車型的“新標準”，而192通道LiDAR有望成為大眾汽車20萬元以下車型的標配。

本報告對LiDAR市場進行了深入分析，提供了有關LiDAR概述和發展趨勢、技術結構和組件、主要元件供應商、國內外領先的LiDAR供應商、LiDAR技術比較以及LiDAR在各個領域（汽車、通用機器人）的應用等資訊。

目錄

定義

第1章：汽車LiDAR概況及發展趨勢

  • 概述（1-2）
  • 關鍵組件：掃描解決方案（1-4）
  • 主要零件：雷射（1-4）
  • 主要部件：檢測器（1-3）
  • 主要部件：處理器（1-3）
  • 元件供應商產品比較
  • 晶片技術比較（1-2）
  • 中國供應商產品參數總表（1-8）
  • 海外供應商產品參數總表（1-3）
  • LiDAR對比：超過 500 個通道
  • LiDAR對比：通道數少於500個
  • 產業鏈
  • 趨勢

第2章 汽車LiDAR市場

  • 汽車LiDAR搭載率
  • 汽車LiDAR搭載率（月）
  • 汽車LiDAR部署策略（1-2）
  • 汽車前置LiDAR感測器數量的特點（1）：價格範圍
  • 汽車前置LiDAR感應器數量特性（2）：合資品牌
  • 汽車前置LiDAR感應器數量特性（3）：獨立品牌
  • 汽車上安裝的前置LiDAR感測器的數量特徵（4）：供應商
  • 汽車側向LiDAR感知器安裝數量的特點（1）：價格範圍
  • 汽車側向雷射雷達感測器安裝數量的特點（2）：合資品牌
  • 汽車側向雷射雷達感測器安裝數量的特點（3）：獨立品牌
  • 汽車上安裝的側向雷射雷達感測器的數量特徵（4）：供應商
  • 汽車後部安裝的LiDAR感測器數量的特點
  • 汽車LiDAR的價格特點
  • 適用於售價在15萬至20萬元人民幣之間的車型的雷射雷達解決方案
  • 適用於售價在20萬至25萬元人民幣之間的車型的雷射雷達解決方案
  • 適用於售價在25萬至30萬元人民幣之間的車型的雷射雷達解決方案
  • 適用於售價在30萬至35萬元人民幣之間的車型的雷射雷達解決方案
  • 適用於售價在35萬至40萬元人民幣之間的車型的雷射雷達解決方案
  • 適用於售價在40萬至50萬元人民幣之間的車型的雷射雷達解決方案
  • 適用於售價超過50萬元人民幣的車型的雷射雷達解決方案
  • 預測汽車LiDAR安裝數量和市場規模。
  • 預測乘用車中安裝的雷射雷達感測器的平均數量
  • 乘用車搭載率：依自動駕駛等級分類（2026-2030 年）
  • 乘用車中雷射雷達感測器的數量和搭載率：按自動駕駛等級分類（2026-2030 年）
  • 乘用車雷射雷達安裝數量及市場規模（2026-2030 年）
  • 汽車LiDAR價格趨勢

第3章：LiDAR在各領域的應用

  • 汽車LiDAR應用概述：乘用車（1）
  • 汽車LiDAR應用概述：乘用車（2）
  • 汽車LiDAR應用概述：乘用車（3）
  • 汽車LiDAR應用概述：乘用車（9）
  • 汽車LiDAR應用概述：無人計程車（1）
  • 汽車LiDAR應用概述：無人計程車（2）
  • 汽車LiDAR應用概述：無人計程車（3）
  • 汽車LiDAR應用概述：無人計程車（4）
  • 汽車LiDAR應用概述：自動駕駛送貨車（1）
  • 汽車LiDAR應用概述：自動駕駛送貨車（2）
  • 汽車LiDAR應用概述：自動駕駛送貨車（3）
  • 非汽車LiDAR應用概述：機器人（1）
  • 非汽車LiDAR應用概述：機器人（2）
  • 非汽車LiDAR應用概述：人形機器人（1）
  • 非汽車LiDAR應用概述：人形機器人（2）
  • 非汽車LiDAR應用概述：機器狗
  • 非汽車領域雷射雷達應用概述：割草機器人（1）
  • 非汽車領域雷射雷達應用概述：割草機器人（2）
  • 非汽車領域雷射雷達應用概述：割草機器人（3）
  • 非汽車領域LiDAR應用概述：清潔機器人

第4章：LiDAR元件供應商

  • Fortsense
  • ADAPS
  • Sophoton
  • MORELITE
  • Siliconroad
  • Raysees
  • Microparity

第5章：國內汽車LiDAR供應商

  • HESAI
  • RoboSense
  • Seyond
  • Huawei
  • VanJee Technology
  • Livox
  • Rayz Technologies
  • LuminWave
  • Zvision
  • LiangDao Intelligence
  • Litra Technology
  • LeiShen Intelligent System
  • OLEI
  • Lanhai Photoelectricity
  • Senfoto

第6章：國外汽車LiDAR供應商

  • MicroVision
  • Innoviz
  • Aeva
  • AEYE
  • Ouster
  • Valeo
  • KOITO
  • Vueron
  • Voyant
  • Lumotive
  • MorpheusTEK
簡介目錄
Product Code: FZQ024

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°X0.025°, Falcon K3 with up to 0.07°X0.03°).

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° X 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.

Table of Contents

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(TM)" 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(TM) S (1)
  • MOVIA(TM) S (2)
  • MOVIA(TM) L (1)
  • MOVIA(TM) L (2)
  • MOVIA(TM) L for Automotive Use (1)
  • MOVIA(TM) L for Automotive Use (2)
  • MOVIA(TM) L for Industrial Use (1)
  • MOVIA(TM) 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(TM) 1V
  • Aeva Aeries(TM) II
  • Aeva Atlas
  • Aeva Atlas Orion 4D LiDAR
  • Aeva Atlas(TM) Ultra 4D LiDAR (1)
  • Aeva Atlas(TM) Ultra 4D LiDAR (2)
  • Aeva Atlas(TM) 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(TM)
  • 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(TM) Gen 3
  • Comparison between SCALA(TM) 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