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全球汽车雷射雷达市场：依技术类型、成像类型、内燃机车辆类型、检测范围、自动驾驶等级、电动车类型和地区划分－市场规模、产业趋势、机会分析和预测（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个工作天内

价格
简介目录

全球汽车雷射雷达市场正经历快速且变革性的成长，预计到 2025 年将达到约 12.6 亿美元。预计未来十年，这一成长速度将显着加快，到 2035 年市场规模预计将飙升至约 257.5 亿美元。这一显着成长意味着 2026 年至 2035 年预测期内的复合年增长率 (CAGR) 将达到 35.16%，凸显了此技术应用和发展的强劲势头。

市场价值的快速成长主要得益于高级驾驶辅助系统 (ADAS) 的广泛应用和自动驾驶汽车的日益普及。 随着汽车製造商和技术供应商朝着更高水准的车辆自动驾驶方向发展，雷射雷达感测器对于实现精准的环境感知至关重要，而精准的环境感知对于安全可靠的驾驶至关重要。日益严格的全球安全法规要求车辆配备日益复杂的驾驶辅助功能，以减少事故并提高道路安全，这正在推动这些感测器整合到车辆中。

市场趋势

汽车光达市场的竞争格局高度集中，中国企业引领潮流并占主导地位。到2024年，和赛科技和RoboSense将占乘用车雷射雷达市场93%的占有率，有效地在这一高需求细分市场形成双寡头垄断。两家公司各自占约26%的市场占有率，显示它们地位相当，共同控制大部分市场。

截至2024年12月，和赛科技的月出货量将达到10万台，象征着该公司的规模，也是其製造能力和营运效率的里程碑。 这种大规模生产能力使合赛科技能够为众多汽车製造商供货，从而巩固其市场领导地位。同时，RoboSense也展现出令人瞩目的成长势头，预计2024年总销售量将达到544,200台。这相当于惊人的109.6%的年成长，显示该公司的技术得到了迅速推广，并在汽车领域不断扩大影响力。

两家公司的成功证明了它们在创新和成本控制方面的策略重点。这使它们能够提供具有竞争力的产品，吸引众多汽车製造商。它们在保持技术优势的同时扩大生产规模的能力，有效地为竞争对手设定了很高的进入门槛。虽然包括华为在内的其他公司透过与汽车製造商的合作取得了显着进展并获得了可观的市场占有率，但合赛科技和RoboSense仍然是推动汽车光达市场发展趋势的关键力量。

核心成长因子

推动汽车雷射雷达市场成长的最重要因素是成本的持续下降，这从根本上改变了产业的格局。多年来，高昂的价格限制了雷射雷达技术的应用，使其主要局限于豪华车，从而限制了其在更广泛市场领域的普及。然而，如今市场价格已达到临界点，使得雷射雷达技术得以整合到非豪华车和大众市场车型中。这项变更为汽车製造商提供了以更实惠的价格提供高级驾驶辅助系统 (ADAS) 和自动驾驶功能的新机遇，加速了该技术的普及。

新的机会趋势

得益于 "价格-性能融合" 这一现象的出现，汽车光达市场取得了突破性进展。此前，高性能雷射雷达功能，尤其是远距离侦测能力，需要使用 1550nm 通讯雷射。 儘管这些雷射性能卓越，但其高昂的价格限制了它们的广泛应用，主要集中在豪华车和小众应用领域。这些光纤雷射系统的高成本一直是该技术在大众市场车辆中普及的一大障碍，减缓了先进自动驾驶功能的广泛部署。

优化障碍

光达感测器的高成本仍然是其在经济型大众市场车辆中普及的一大障碍。这些感测器对于高级驾驶辅助系统 (ADAS) 和自动驾驶功能至关重要，但其价格通常非常昂贵，并显着增加了汽车製造商的零件成本。成本的增加使得汽车製造商难以在不大幅提高车辆零售价格的情况下将光达技术整合到更经济实惠的车型中，这可能会限制消费者获得最新的安全和自动驾驶功能。

目录

第一章：摘要整理：汽车光达市场

第二章：研究方法与架构

  • 研究目标
  • 产品概述
  • 市场区隔
  • 质性研究
    • 一手和二手资料来源
  • 量化研究
    • 一手和二手资料来源
  • 依地区划分的一手调查受访者组成
  • 研究假设
  • 市场规模估算
  • 资料三角验证

第三章 汽车光达市场概论

  • 产业价值链分析
    • 原料和基础组件
    • 光达系统设计、整合与製造
    • 供应商及感测器在车辆平台中的整合
    • 汽车製造商 (OEM)
    • 售后市场与改装服务
  • 行业展望
    • 全球汽车与ADAS产业概览
    • 全球汽车生产与销售趋势
    • 豪华和高端汽车的采用趋势
    • OEM与雷射雷达供应商之间的策略联盟
    • 电气化和软体定义汽车 (SDV) 的发展趋势
    • 半导体和汽车感测器产业概览
    • 电动车销售成长对感测器整合的影响
    • 符合监理与安全标准
  • 汽车光达市场的购买行为与采购趋势
  • PESTLE分析
  • 波特五力模型分析
    • 供应商议价能力
    • 买方议价能力
    • 替代品威胁
    • 新进入者威胁
    • 竞争强度
  • 市场动态与趋势
    • 成长驱动因素
    • 限制因素
    • 机遇
    • 关键趋势
  • 市场成长与展望
    • 市场收入估计与预测（2020-2035）
    • 价格趋势与成本波动分析

第四章 竞争格局概览

  • 市场集中度
  • 公司占有率分析（基于价值，2025）
  • 竞争格局分析基准测试

第五章 汽车光达市场分析

第六章 北美汽车光达市场分析

第七章 欧洲汽车雷射雷达市场分析

第八章 亚太地区汽车光达市场分析

第九章 中东及非洲汽车光达市场分析

第十章 南美洲汽车光达市场分析

第11章 企业简介

  • 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 附录

简介目录
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