Global Automotive LiDAR Scanner Competitive Landscape Professional Research Report 2025

Research Summary

An Automotive LiDAR scanner is a sensor system that uses light detection and ranging technology to measure distances and generate 3D maps of the surrounding environment, enabling autonomous vehicles to operate safely. It emits rapid pulses of laser light and measures the time taken for the light to reflect off nearby objects and return to the scanner, allowing it to create a detailed real-time map of the vehicle＇s surroundings. This technology is crucial for autonomous vehicles as it enables them to detect obstacles and avoid collisions, making them safe for drivers and passengers on the road.

According to DIResearch's in-depth investigation and research, the global Automotive LiDAR Scanner market size was valued at XX Million USD in 2024 and is projected to reach XX Million USD by 2032, with a CAGR of XX% (2025-2032). Notably, the China market has changed rapidly in the past few years. By 2024, China's market size is expected to be XX Million USD, representing approximately XX% of the global market share. By 2032, it is anticipated to grow further to XX Million USD, contributing XX% to the worldwide market share.

The major global  manufacturers of Automotive LiDAR Scanner include Valeo, RoboSense, Continental, Cepton, Livox, Innoviz, Luminar, Velodyne, ibeo, Hesai Tech, Innovusion etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.

This report studies the market size, price trends and future development prospects of Automotive LiDAR Scanner. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Automotive LiDAR Scanner market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.

The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the Automotive LiDAR Scanner market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Automotive LiDAR Scanner industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.  

The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.

Global Key Manufacturers of Automotive LiDAR Scanner Include:

Valeo

RoboSense

Continental

Cepton

Livox

Innoviz

Luminar

Velodyne

ibeo

Hesai Tech

Innovusion

Automotive LiDAR Scanner Product Segment Include:

Mechanical Lidar

Solid State Lidar

Automotive LiDAR Scanner Product Application Include:

Passenger Car

Commercial Vehicle

Chapter Scope

Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends

Chapter 2: Global Automotive LiDAR Scanner Industry PESTEL Analysis

Chapter 3: Global Automotive LiDAR Scanner Industry Porter’s Five Forces Analysis

Chapter 4: Global Automotive LiDAR Scanner Major Regional Market Size (Revenue, Sales, Price) and Forecast Analysis

Chapter 5: Global Automotive LiDAR Scanner Market Size and Forecast by Type and Application Analysis

Chapter 6: North America Automotive LiDAR Scanner Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 7: Europe Automotive LiDAR Scanner Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 8: China Automotive LiDAR Scanner Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 9: APAC (Excl. China) Automotive LiDAR Scanner Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 10: Latin America Automotive LiDAR Scanner Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 11: Middle East and Africa Automotive LiDAR Scanner Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 12: Global Automotive LiDAR Scanner Competitive Analysis of Key Manufacturers (Sales, Revenue, Market Share, Price, Regional Distribution and Industry Concentration)

Chapter 13: Key Company Profiles (Product Portfolio, Sales, Revenue, Price and Gross Margin)

Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers

Chapter 15: Research Findings and Conclusion

Chapter 16: Methodology and Data Sources