Global and U.S. LiDAR Sensors for Self-Driving Market Report, Published by QY Research.

QY Research has released a comprehensive new market report on LiDAR Sensors for Self-Driving, high-resolution 3D sensing systems that enable autonomous vehicles to perceive their surroundings with precise distance, shape, and motion detection. By emitting laser pulses and measuring time-of-flight or phase shift, LiDAR sensors generate real-time 3D point clouds essential for object detection, localization, mapping, and safe navigation. As autonomous driving advances toward Level 3-Level 4 deployment, this report delivers an in-depth assessment of global market size, sensor architectures, cost reduction trends, and competitive dynamics.

Core Market Data

Global market size: USD 12.6 billion
CAGR (2024-2030): 21.3%
Average price: USD 770 per unit
Annual production: 4.25 million units
Gross margin: 48%
Production capacity: 5.7 million units

List of Main Players

Hesai Technology (NASDAQ: HSAI, USA)
Ouster (NYSE: OUST, USA)
Innoviz Technologies (NASDAQ: INVZ, Israel)
Cepton Technologies (NASDAQ: CPTN, USA)
Luminar Technologies (NASDAQ: LAZR, USA)
Aeva Technologies (NYSE: AEVA, USA)
MicroVision (NASDAQ: MVIS, USA)
Valeo (Euronext Paris: VIE, France)
Continental AG (FWB: CON, Germany)
Sony Group (TSE: 6758, Japan)
Wanji Technology (SZSE: 300552, China)
Velodyne Lidar (Private, USA)
LeddarTech (Private, Canada)
Quanergy Systems (Private, USA)
Ibeo (Private, Germany)
Livox (Private, China)
Blickfeld (Private, Germany)
Benewake (Private, China)
XenomatiX (Private, Belgium)
Seyond (Private, China)
SureStar (Private, China)
Leishen Intelligent (Private, China)
Raythink Technology (Private, China)
Huaray Technology (Private, China)
ZVISION (Private, China)
Tonbo Imaging (Private, India)

1. By LiDAR Architecture

Mechanical spinning LiDAR
MEMS-based LiDAR
Flash LiDAR
Optical phased array (OPA) LiDAR
FMCW LiDAR

2. By Mounting Position

Roof-mounted long-range LiDAR
Grille and bumper-integrated LiDAR
Side and corner LiDAR modules
In-cabin LiDAR for driver monitoring

3. By Detection Range

Short-range (Below 50 m)
Mid-range (50-150 m)
Long-range (Above 150 m)

4. By Application

Advanced Driver Assistance Systems (ADAS)
Level 3 autonomous driving
Level 4 autonomous driving
Robotaxis and autonomous shuttles
Autonomous trucks and delivery vehicles

Case Study for Bidding

Time: June 2024
Supplier: Luminar Technologies
Buyer: Volvo Cars
Product: Long-range automotive-grade LiDAR sensors for Level 3+ autonomous vehicles
Quantity: 1.2 million units
Contract Value: USD 720 million
Delivery Timeline: Q2 2026

Case Study for End Using

End User: Waymo

Application: 360° perception for fully autonomous robotaxi operations in urban environments.

Installation Location / Usage Stage

Mounted on roof and vehicle corners for full coverage.
Integrated with cameras, radar, and AI perception stacks.
Operated continuously under diverse lighting and weather conditions.

Purpose

Provides precise 3D spatial awareness independent of ambient light.
Enables accurate object classification and distance measurement.
Supports redundancy and safety validation in autonomous systems.

Effect

Improved obstacle detection accuracy by 30-45% versus camera-only systems.
Enhanced localization accuracy for urban navigation.
Increased system safety and operational reliability.

Alternative Sensing Technologies

Cameras offer rich semantic information but limited depth accuracy.
Radar sensors perform well in adverse weather but have lower spatial resolution.
Ultrasonic sensors are cost-effective for short-range sensing but unsuitable for high-speed autonomy.
Sensor fusion systems combine multiple modalities but increase system complexity.

Therefore, LiDAR Sensors are a critical pillar of self-driving perception stacks, delivering high-precision 3D sensing that enables safe, scalable, and reliable autonomous driving-supporting the transition from advanced driver assistance to full autonomy.

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This release was published on openPR.