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市場調查報告書
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1961030

全球汽車雷射雷達市場：依技術類型、成像類型、內燃機車輛類型、檢測範圍、自動駕駛等級、電動車類型和地區劃分－市場規模、產業趨勢、機會分析和預測（2026-2035 年）

Global Automotive LiDAR Market: Analysis By Technology Type, Image Type, ICE Vehicle Type, Range, Level of Autonomy, Electric Vehicle Type, Region - Market Size, Industry Dynamics, Opportunity Analysis and Forecast for 2026-2035
出版日期: | 出版商: Astute Analytica | 英文 320 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

全球汽車雷射雷達市場正經歷快速且變革性的成長，預計到 2025 年將達到約 12.6 億美元。預計未來十年，這一成長速度將顯著加快，到 2035 年市場規模預計將飆升至約 257.5 億美元。這一顯著成長意味著 2026 年至 2035 年預測期內的複合年增長率 (CAGR) 將達到 35.16%，凸顯了此技術應用和發展的強勁勢頭。

市場價值的快速成長主要得益於高級駕駛輔助系統 (ADAS) 的廣泛應用和自動駕駛汽車的日益普及。 隨著汽車製造商和技術供應商朝著更高水準的車輛自動駕駛方向發展，雷射雷達感測器對於實現精準的環境感知至關重要，而精準的環境感知對於安全可靠的駕駛至關重要。日益嚴格的全球安全法規要求車輛配備日益複雜的駕駛輔助功能，以減少事故並提高道路安全，這正在推動這些感測器整合到車輛中。

市場趨勢

汽車光達市場的競爭格局高度集中，中國企業引領潮流並佔主導地位。到2024年，和賽科技和RoboSense將佔乘用車雷射雷達市場93%的佔有率，有效地在這一高需求細分市場形成雙寡頭壟斷。兩家公司各自佔約26%的市場佔有率，顯示它們地位相當，共同控制大部分市場。

截至2024年12月，和賽科技的月出貨量將達到10萬台，象徵著該公司的規模，也是其製造能力和營運效率的里程碑。 這種大規模生產能力使合賽科技能夠為眾多汽車製造商供貨，從而鞏固其市場領導地位。同時，RoboSense也展現出令人矚目的成長勢頭，預計2024年總銷售量將達到544,200台。這相當於驚人的109.6%的年成長，顯示該公司的技術得到了迅速推廣，並在汽車領域不斷擴大影響力。

兩家公司的成功證明了它們在創新和成本控制方面的策略重點。這使它們能夠提供具有競爭力的產品，吸引眾多汽車製造商。它們在保持技術優勢的同時擴大生產規模的能力，有效地為競爭對手設定了很高的進入門檻。雖然包括華為在內的其他公司透過與汽車製造商的合作取得了顯著進展並獲得了可觀的市場佔有率，但合賽科技和RoboSense仍然是推動汽車光達市場發展趨勢的關鍵力量。

核心成長因子

推動汽車雷射雷達市場成長的最重要因素是成本的持續下降，這從根本上改變了產業的格局。多年來，高昂的價格限制了雷射雷達技術的應用，使其主要局限於豪華車，從而限制了其在更廣泛市場領域的普及。然而，如今市場價格已達到臨界點，使得雷射雷達技術得以整合到非豪華車和大眾市場車型中。這項變更為汽車製造商提供了以更實惠的價格提供高級駕駛輔助系統 (ADAS) 和自動駕駛功能的新機遇，加速了該技術的普及。

新的機會趨勢

得益於 "價格-性能融合" 這一現象的出現，汽車光達市場取得了突破性進展。此前，高性能雷射雷達功能，尤其是遠距離偵測能力，需要使用 1550nm 通訊雷射。 儘管這些雷射性能卓越，但其高昂的價格限制了它們的廣泛應用，主要集中在豪華車和小眾應用領域。這些光纖雷射系統的高成本一直是該技術在大眾市場車輛中普及的一大障礙，減緩了先進自動駕駛功能的廣泛部署。

優化障礙

光達感測器的高成本仍然是其在經濟型大眾市場車輛中普及的一大障礙。這些感測器對於高級駕駛輔助系統 (ADAS) 和自動駕駛功能至關重要，但其價格通常非常昂貴，並顯著增加了汽車製造商的零件成本。成本的增加使得汽車製造商難以在不大幅提高車輛零售價格的情況下將光達技術整合到更經濟實惠的車型中，這可能會限制消費者獲得最新的安全和自動駕駛功能。

目錄

第一章：摘要整理：汽車光達市場

第二章：研究方法與架構

  • 研究目標
  • 產品概述
  • 市場區隔
  • 質性研究
    • 一手和二手資料來源
  • 量化研究
    • 一手和二手資料來源
  • 依地區劃分的一手調查受訪者組成
  • 研究假設
  • 市場規模估算
  • 資料三角驗證

第三章 汽車光達市場概論

  • 產業價值鏈分析
    • 原料和基礎組件
    • 光達系統設計、整合與製造
    • 供應商及感測器在車輛平台中的整合
    • 汽車製造商 (OEM)
    • 售後市場與改裝服務
  • 行業展望
    • 全球汽車與ADAS產業概覽
    • 全球汽車生產與銷售趨勢
    • 豪華和高端汽車的採用趨勢
    • OEM與雷射雷達供應商之間的策略聯盟
    • 電氣化和軟體定義汽車 (SDV) 的發展趨勢
    • 半導體和汽車感測器產業概覽
    • 電動車銷售成長對感測器整合的影響
    • 符合監理與安全標準
  • 汽車光達市場的購買行為與採購趨勢
  • PESTLE分析
  • 波特五力模型分析
    • 供應商議價能力
    • 買方議價能力
    • 替代品威脅
    • 新進入者威脅
    • 競爭強度
  • 市場動態與趨勢
    • 成長驅動因素
    • 限制因素
    • 機遇
    • 關鍵趨勢
  • 市場成長與展望
    • 市場收入估計與預測（2020-2035）
    • 價格趨勢與成本波動分析

第四章 競爭格局概覽

  • 市場集中度
  • 公司佔有率分析（基於價值，2025）
  • 競爭格局分析基準測試

第五章 汽車光達市場分析

第六章 北美汽車光達市場分析

第七章 歐洲汽車雷射雷達市場分析

第八章 亞太地區汽車光達市場分析

第九章 中東及非洲汽車光達市場分析

第十章 南美洲汽車光達市場分析

第11章 企業簡介

  • Continental AG
  • Delphi Automotive
  • First Sensor AG
  • Infineon Technologies AG
  • Innoviz Technologies, Ltd
  • LeddarTech, Inc.
  • Quanergy Systems, Inc
  • Texas Instruments, Inc.
  • Velodyne LiDAR, Inc.
  • ZF Friedrichshafen AG
  • Other Prominent Players

第12章 附錄

簡介目錄
Product Code: AA01261667

The global automotive LiDAR market is undergoing rapid and transformative growth, with its valuation reaching approximately USD 1.26 billion in 2025. This expansion is expected to accelerate significantly over the next decade, with projections estimating the market will soar to around USD 25.75 billion by 2035. Such a dramatic increase corresponds to a compound annual growth rate (CAGR) of 35.16% during the forecast period from 2026 to 2035, highlighting the strong momentum behind this technology's adoption and development.

This surge in market value is primarily driven by the widespread adoption of Advanced Driver Assistance Systems (ADAS) and the growing deployment of autonomous vehicles. As automakers and technology providers push toward higher levels of vehicle autonomy, LiDAR sensors have become indispensable for enabling precise environmental perception, which is critical for safe and reliable operation. The increasing integration of these sensors into vehicles is fueled by stringent safety regulations worldwide, which mandate enhanced driver assistance features to reduce accidents and improve road safety.

Noteworthy Market Developments

The competitive landscape of the automotive LiDAR market has become intensely concentrated, with Chinese specialists leading the charge and dominating the sector. In 2024, Hesai and RoboSense together commanded an overwhelming 93% share of the passenger car LiDAR market, effectively establishing a duopoly in the high-volume segment. Individually, both companies held approximately 26% market share each, underscoring their equal footing and joint control over the majority of the market.

Hesai's scale is exemplified by its achievement of a monthly delivery run-rate of 100,000 units as of December 2024, a milestone that highlights its manufacturing prowess and operational efficiency. This capacity to produce LiDAR sensors at such volume enables Hesai to supply a broad range of automotive manufacturers, reinforcing its market leadership. Meanwhile, RoboSense demonstrated equally impressive growth, with total sales volume reaching 544,200 units in 2024. This figure represents a staggering 109.6% year-over-year increase, signaling rapid adoption of its technology and expanding footprint in the automotive sector.

The success of these two companies is also a testament to their strategic focus on innovation and cost reduction, which has allowed them to offer competitive products that appeal to a wide array of automakers. Their ability to scale production while maintaining technological excellence has effectively set a high barrier to entry for other competitors. Although other players, including Huawei, have made notable advances and captured significant market share through partnerships with OEMs, Hesai and RoboSense remain the dominant forces shaping the automotive LiDAR market's trajectory.

Core Growth Drivers

The most significant catalyst propelling growth in the automotive LiDAR market is the ongoing reduction in costs, which has fundamentally shifted the industry's dynamics. For years, LiDAR technology was predominantly confined to luxury vehicles due to its high price, limiting its accessibility and adoption across broader market segments. However, the market has now reached a critical pricing tipping point that is opening the door for LiDAR integration into non-luxury, mass-market vehicles. This shift is creating new opportunities for automakers to offer advanced driver-assistance systems and autonomous features at more affordable price points, thereby accelerating the technology's mainstream adoption.

Emerging Opportunity Trends

The automotive LiDAR market experienced a breakthrough with the advent of what is now being called the "Price-Performance Convergence." Historically, achieving high-performance LiDAR capabilities-particularly long detection ranges-depended heavily on the use of 1550nm communication lasers. While these lasers offered superior performance, they were prohibitively expensive, making widespread adoption challenging and limiting their integration primarily to premium or niche applications. The high cost of these fiber-laser systems created a significant barrier to scaling the technology across mass-market vehicles, slowing the broader deployment of advanced autonomous driving features.

Barriers to Optimization

The high cost of LiDAR sensors remains a significant obstacle to their widespread integration into mass-market, budget-friendly vehicles. These sensors, which are essential for advanced driver-assistance systems and autonomous driving capabilities, often come with a steep price tag that adds substantially to the overall bill of materials for vehicle manufacturers. This increased expense can make it challenging for automakers to include LiDAR technology in more affordable models without significantly raising the vehicle's retail price, potentially limiting consumer access to the latest safety and autonomy features.

Detailed Market Segmentation

By Electric Vehicle Type, the battery electric vehicle (BEV) segment is anticipated to experience the fastest growth within the automotive LiDAR market, driven by the ongoing shift among automakers toward utilizing electric vehicle platforms as a foundation for launching advanced, software-defined vehicle architectures. Unlike traditional internal combustion engine (ICE) vehicles, BEVs offer a more flexible and capable platform for integrating cutting-edge sensor technologies, including LiDAR, which are essential for enabling higher levels of vehicle autonomy and enhanced driver-assistance features. This is largely due to the inherent design advantages of BEVs, particularly their powertrain architecture and energy management systems.

By Image Type, the 3D image type segment, often referred to as the 3D motion capture system, holds a dominant position in the automotive LiDAR market due to its unparalleled ability to provide critical "ground truth" data that other sensing technologies, such as 2D cameras and radar, cannot consistently deliver. While traditional automotive cameras face significant challenges in low-contrast lighting conditions-such as nighttime driving, fog, or glare-and radar systems fall short in delivering the fine resolution necessary for detailed object recognition, 3D LiDAR overcomes these limitations by generating highly detailed spatial information in real time.

By Laser Wavelength, the short-wave infrared (SWIR) segment is poised to experience the most rapid growth within the automotive LiDAR market, driven largely by the significant technical advantages offered by 1550nm laser technology. This particular wavelength unlocks new possibilities for high-speed highway autonomy by enabling LiDAR sensors to operate more effectively under demanding conditions. Unlike the traditional near-infrared sensors operating at 905nm, which have been the industry standard for many years, SWIR technology offers a fundamental breakthrough rooted in the physics of how these wavelengths interact with the human eye.

By ICE Vehicle Type, the passenger vehicle segment holds a commanding position in the automotive LiDAR market, capturing over 68% of the total market share. This dominance is driven by a dual imperative: the increasing demand for superior safety features and the rapid advancement toward higher levels of vehicle autonomy. Automakers are prioritizing the integration of LiDAR technology as a critical component in enhancing driver assistance systems and enabling autonomous driving capabilities. As a result, the segment has witnessed explosive growth in LiDAR installations, with approximately 1.5 million units deployed globally in 2024 alone.

Segment Breakdown

By Technology Type:

  • Mechanical LiDAR
  • Solid-state LiDAR

By Image Type:

  • 2D
  • 3D

By ICE Vehicle Type:

  • Passenger Cars
  • Light Commercial Vehicles (LCVs)
  • Heavy Commercial Vehicles (HCVs)

By Range:

  • Short- and Mid-range LiDAR (170 Meters and Below)
  • Long-range LiDAR (Above 170 Meters)

By Laser Wavelength:

  • Near-infrared
  • Short-wave Infrared
  • Long-wave Infrared

By Location:

  • Bumper & Grille
  • Headlight & Taillight
  • Roof & Upper Pillar
  • Others

By Measurement Process:

  • Frequency-modulated Continuous Wave (FMCW)
  • Time of Flight (ToF)

By Level of Autonomy:

  • Semi-autonomous
  • Autonomous

By Electric Vehicle Type:

  • Battery Electric Vehicle (BEV)
  • Plug-in Hybrid Electric Vehicle (PHEV)
  • Fuel Cell Electric Vehicle (FCEV)
  • Hybrid Electric Vehicle (HEV)

By Region

  • North America
  • Europe
  • Asia Pacific
  • Middle East and Africa
  • South America

Geography Breakdown

  • The Asia Pacific region is not just leading the automotive LiDAR market; it is setting the technological pace and shaping the industry's future. As of 2025, the region commands a commanding 57.10% share of the global market, underscoring its dominant position. This leadership stems from a distinctive consumer environment in China, where "intelligent driving" features have become the primary factor influencing the purchase decisions of New Energy Vehicle (NEV) buyers.
  • Major Chinese players such as BYD and Xiaomi have played a pivotal role in democratizing LiDAR by integrating it even in mid-trim vehicle configurations. A notable example is the Xiaomi SU7, which achieved delivery volumes exceeding 135,000 units in 2025, with LiDAR sensors included as a standard component across multiple trims. This volume-first approach has not only accelerated the adoption of LiDAR technology among everyday drivers but also created significant economies of scale that benefit the entire supply chain.

Leading Market Participants

  • Continental AG
  • Delphi Automotive
  • First Sensor AG
  • Infineon Technologies AG
  • Innoviz Technologies, Ltd
  • LeddarTech, Inc.
  • Quanergy Systems, Inc
  • Texas Instruments, Inc.
  • Velodyne LiDAR, Inc.
  • ZF Friedrichshafen AG
  • Other Prominent Players

Table of Content

Chapter 1. Executive Summary: Automotive LiDAR Market

Chapter 2. Research Methodology & Research Framework

  • 2.1. Research Objective
  • 2.2. Product Overview
  • 2.3. Market Segmentation
  • 2.4. Qualitative Research
    • 2.4.1. Primary & Secondary Sources
  • 2.5. Quantitative Research
    • 2.5.1. Primary & Secondary Sources
  • 2.6. Breakdown of Primary Research Respondents, By Region
  • 2.7. Assumption for Study
  • 2.8. Market Size Estimation
  • 2.9. Data Triangulation

Chapter 3. Automotive LiDAR Market Overview

  • 3.1. Industry Value Chain Analysis
    • 3.1.1. Raw Materials & Basic Components
    • 3.1.2. LiDAR System Design, Integration & Manufacturing
    • 3.1.3. Suppliers & Sensor Integration into Vehicle Platforms
    • 3.1.4. Original Equipment Manufacturers (OEMs)
    • 3.1.5. Aftermarket & Retrofit Services
  • 3.2. Industry Outlook
    • 3.2.1. Overview of Global Automotive & ADAS Industry
    • 3.2.2. Global Vehicle Production & Sales Trends
    • 3.2.3. Luxury & Premium Vehicles Adoption Trends
    • 3.2.4. OEM Strategic Partnerships with LiDAR Suppliers.
    • 3.2.5. Electrification & Software-Defined Vehicle (SDV) Trends
    • 3.2.6. Semiconductor & Automotive Sensor Industry Overview
    • 3.2.7. EV sales growth influencing sensor integration
    • 3.2.8. Regulatory & Safety Compliance
  • 3.3. Buyer Behavior & Procurement Dynamics in Automotive LiDAR Market
  • 3.4. PESTLE Analysis
  • 3.5. Porter's Five Forces Analysis
    • 3.5.1. Bargaining Power of Suppliers
    • 3.5.2. Bargaining Power of Buyers
    • 3.5.3. Threat of Substitutes
    • 3.5.4. Threat of New Entrants
    • 3.5.5. Degree of Competition
  • 3.6. Market Dynamics and Trends
    • 3.6.1. Growth Drivers
      • 3.6.1.1. Rising Adoption of Advanced Driver Assistance Systems
      • 3.6.1.2. Declining LiDAR Costs & Technological Advancements
    • 3.6.2. Restraints
    • 3.6.3. Opportunity
    • 3.6.4. Key Trend
  • 3.7. Market Growth and Outlook
    • 3.7.1. Market Revenue Estimates and Forecast (US$ Mn), 2020 - 2035
    • 3.7.2. Price Trend and Cost Dynamic Analysis

Chapter 4. Competition Dashboard

  • 4.1. Market Concentration Rate
  • 4.2. Company Market Share Analysis (Value %), 2025
  • 4.3. Competitor Mapping & Benchmarking

Chapter 5. Automotive LiDAR Market Analysis

  • 5.1. Key Insights
  • 5.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 5.3. By Technology Type
    • 5.3.1. Mechanical LiDAR
    • 5.3.2. Solid-state LiDAR
  • 5.4. By Image Type
    • 5.4.1. 2D
    • 5.4.2. 3D
  • 5.5. By ICE Vehicle Type
    • 5.5.1. Passenger Cars
    • 5.5.2. Light Commercial Vehicles (LCVs)
    • 5.5.3. Heavy Commercial Vehicles (HCVs)
  • 5.6. By Range
    • 5.6.1. Short- and Mid-range LiDAR (170 Meters and Below)
    • 5.6.2. Long-range LiDAR (Above 170 Meters)
  • 5.7. By Laser Wavelength
    • 5.7.1. Near-infrared
    • 5.7.2. Short-wave Infrared
    • 5.7.3. Long-wave Infrared
  • 5.8. By Location
    • 5.8.1. Bumper & Grille
    • 5.8.2. Headlight & Taillight
    • 5.8.3. Roof & Upper Pillar
    • 5.8.4. Others
  • 5.9. By Measurement Process
    • 5.9.1. Frequency-modulated Continuous Wave (FMCW)
    • 5.9.2. Time of Flight (ToF)
  • 5.10. By Level of Autonomy
    • 5.10.1. Semi-autonomous
    • 5.10.2. Autonomous
  • 5.11. By Electric Vehicle Type
    • 5.11.1. Battery Electric Vehicle (BEV)
    • 5.11.2. Plug-in Hybrid Electric Vehicle (PHEV)
    • 5.11.3. Fuel Cell Electric Vehicle (FCEV)
    • 5.11.4. Hybrid Electric Vehicle (HEV)
  • 5.12. By Region
      • 5.12.1.1. North America
        • 5.12.1.1.1. The U.S.
        • 5.12.1.1.2. Canada
        • 5.12.1.1.3. Mexico
      • 5.12.1.2. Europe
        • 5.12.1.2.1. Western Europe
          • 5.12.1.2.1.1. The UK
          • 5.12.1.2.1.2. Germany
          • 5.12.1.2.1.3. France
          • 5.12.1.2.1.4. Italy
          • 5.12.1.2.1.5. Spain
          • 5.12.1.2.1.6. Rest of Western Europe
        • 5.12.1.2.2. Eastern Europe
          • 5.12.1.2.2.1. Poland
          • 5.12.1.2.2.2. Russia
          • 5.12.1.2.2.3. Rest of Eastern Europe
      • 5.12.1.3. Asia Pacific
        • 5.12.1.3.1. China
        • 5.12.1.3.2. India
        • 5.12.1.3.3. Japan
        • 5.12.1.3.4. South Korea
        • 5.12.1.3.5. Australia & New Zealand
        • 5.12.1.3.6. ASEAN
          • 5.12.1.3.6.1. Indonesia
          • 5.12.1.3.6.2. Malaysia
          • 5.12.1.3.6.3. Thailand
          • 5.12.1.3.6.4. Singapore
          • 5.12.1.3.6.5. Rest of ASEAN
          • 5.12.1.3.6.6. Rest of Asia Pacific
      • 5.12.1.4. Middle East & Africa
        • 5.12.1.4.1. UAE
        • 5.12.1.4.2. Saudi Arabia
        • 5.12.1.4.3. South Africa
        • 5.12.1.4.4. Rest of MEA
      • 5.12.1.5. South America
        • 5.12.1.5.1. Argentina
        • 5.12.1.5.2. Brazil
        • 5.12.1.5.3. Rest of South America

Chapter 6. North America Automotive LiDAR Market Analysis

  • 6.1. Market Dynamics and Trends
    • 6.1.1. Growth Drivers
    • 6.1.2. Restraints
    • 6.1.3. Opportunity
    • 6.1.4. Key Trends
  • 6.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 6.2.1. By Technology Type
    • 6.2.2. By Image Type
    • 6.2.3. By ICE Vehicle Type
    • 6.2.4. By Range
    • 6.2.5. By Laser Wavelength
    • 6.2.6. By Location
    • 6.2.7. By Measurement Process
    • 6.2.8. By Level of Autonomy
    • 6.2.9. By Electric Vehicle Type
    • 6.2.10. By Country

Chapter 7. Europe Automotive LiDAR Market Analysis

  • 7.1. Market Dynamics and Trends
    • 7.1.1. Growth Drivers
    • 7.1.2. Restraints
    • 7.1.3. Opportunity
    • 7.1.4. Key Trends
  • 7.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 7.2.1. By Technology Type
    • 7.2.2. By Image Type
    • 7.2.3. By ICE Vehicle Type
    • 7.2.4. By Range
    • 7.2.5. By Laser Wavelength
    • 7.2.6. By Location
    • 7.2.7. By Measurement Process
    • 7.2.8. By Level of Autonomy
    • 7.2.9. By Electric Vehicle Type
    • 7.2.10. By Country

Chapter 8. Asia Pacific Automotive LiDAR Market Analysis

  • 8.1. Market Dynamics and Trends
    • 8.1.1. Growth Drivers
    • 8.1.2. Restraints
    • 8.1.3. Opportunity
    • 8.1.4. Key Trends
  • 8.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 8.2.1. By Technology Type
    • 8.2.2. By Image Type
    • 8.2.3. By ICE Vehicle Type
    • 8.2.4. By Range
    • 8.2.5. By Laser Wavelength
    • 8.2.6. By Location
    • 8.2.7. By Measurement Process
    • 8.2.8. By Level of Autonomy
    • 8.2.9. By Electric Vehicle Type
    • 8.2.10. By Country

Chapter 9. Middle East & Africa Automotive LiDAR Market Analysis

  • 9.1. Market Dynamics and Trends
    • 9.1.1. Growth Drivers
    • 9.1.2. Restraints
    • 9.1.3. Opportunity
    • 9.1.4. Key Trends
  • 9.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 9.2.1. By Technology Type
    • 9.2.2. By Image Type
    • 9.2.3. By ICE Vehicle Type
    • 9.2.4. By Range
    • 9.2.5. By Laser Wavelength
    • 9.2.6. By Location
    • 9.2.7. By Measurement Process
    • 9.2.8. By Level of Autonomy
    • 9.2.9. By Electric Vehicle Type
    • 9.2.10. By Country

Chapter 10. South America Automotive LiDAR Market Analysis

  • 10.1. Market Dynamics and Trends
    • 10.1.1. Growth Drivers
    • 10.1.2. Restraints
    • 10.1.3. Opportunity
    • 10.1.4. Key Trends
  • 10.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 10.2.1. By Technology Type
    • 10.2.2. By Image Type
    • 10.2.3. By ICE Vehicle Type
    • 10.2.4. By Range
    • 10.2.5. By Laser Wavelength
    • 10.2.6. By Location
    • 10.2.7. By Measurement Process
    • 10.2.8. By Level of Autonomy
    • 10.2.9. By Electric Vehicle Type
    • 10.2.10. By Country

Chapter 11. Company Profile (Company Overview, Financial Matrix, Key Product landscape, Key Personnel, Key Competitors, Contact Address, and Business Strategy Outlook)

  • 11.1. Continental AG
  • 11.2. Delphi Automotive
  • 11.3. First Sensor AG
  • 11.4. Infineon Technologies AG
  • 11.5. Innoviz Technologies, Ltd
  • 11.6. LeddarTech, Inc.
  • 11.7. Quanergy Systems, Inc
  • 11.8. Texas Instruments, Inc.
  • 11.9. Velodyne LiDAR, Inc.
  • 11.10. ZF Friedrichshafen AG
  • 11.11. Other Prominent Players

Chapter 12. Annexure

  • 12.1. List of Secondary Sources
  • 12.2. Macro-Economic Outlook/Indicators