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汽车激光雷达市场 - 全球规模、份额、趋势分析、机会、预测报告，2019-2029，按技术、按地点、按图像投影、按范围类型、按车型、用途、按区域分析
市场调查报告书
商品编码
1301785

汽车激光雷达市场 - 全球规模、份额、趋势分析、机会、预测报告，2019-2029，按技术、按地点、按图像投影、按范围类型、按车型、用途、按区域分析

Automotive LiDAR Market - Global Size, Share, Trend Analysis, Opportunity and Forecast Report, 2019-2029, Segmented By Technology ; By Location ; By Image Projection ; By Range Type ; By Vehicle Type ; By Application ; By Region
出版日期: | 出版商: Blueweave Consulting | 英文 400 Pages | 商品交期: 2-3个工作天内

价格
简介目录

汽车激光雷达全球市场规模预计将以39.10%的年复合成长率稳定增长，到2029年将达到49,185.9亿美元

由于先进驾驶辅助系统（ADAS）需求的增加、汽车行业安全标准的提高以及汽车製造商和科技公司对激光雷达技术研发的投资增加，全球汽车激光雷达市场正在快速增长。

领先的战略咨询和市场研究公司 BlueWeave Consulting 最近估计，2022 年全球汽车 LiDAR 市场价值将达到 4.8963 亿美元。 2023-2029年预测期内，全球汽车激光雷达市场规模预计将以39.10%的复合年复合成长率强劲增长，2029年达到491859万美元。推动市场增长的主要因素是对自动驾驶汽车的需求不断增长，这推动了对激光雷达等增强型传感技术的需求。激光雷达使车辆能够正确评估周围环境并提高导航能力。固态激光雷达技术也发生了明显的转变，该技术比传统机械扫描系统更紧凑、耐用且更具成本效益。半导体技术的进步正在加速这种变化。 LiDAR 解决方案製造商专注于提高性能和降低成本，以支持更广泛的车辆，包括乘用车和商用卡车。

该报告的详细分析提供了有关全球汽车激光雷达市场的增长潜力、未来趋势和统计数据的资讯。我们还研究了推动市场总规模预测的因素。该报告致力于提供全球汽车激光雷达市场的最新技术趋势和行业见解，帮助决策者做出明智的战略决策。它还分析了市场成长促进因素、挑战和竞争动态。

目录

第1章研究框架

第2章执行摘要

第3章全球汽车激光雷达市场洞察

  • 行业价值链分析
  • DROC分析
    • 增长背后的动力
      • 增加激光雷达系统在自动驾驶汽车中的使用，以增加市场潜力
      • 激光雷达初创公司的投资和资金筹措激增
    • 抑制因素
      • 昂贵的激光雷达系统
    • 机会
      • 科技的发展
    • 任务
      • 严格的政府法规
  • 技术进步/最新发展
  • 法律规范
  • 波特五力分析

第4章全球汽车激光雷达市场概况

  • 2019-2029 年市场车辆类型及预测
    • 按金额
  • 市场份额及预测
    • 按技术
      • 固态激光雷达
      • 机械/扫描激光雷达
    • 按地点
      • 屋顶和上柱
      • 车头灯和尾灯
      • 保险槓和格栅
    • 通过图像投影
      • 2D 汽车激光雷达
      • 3D 汽车激光雷达
    • 按范围类型
      • 短距离和中距离汽车激光雷达
      • 远距离车载激光雷达
    • 车辆类型
      • 内燃机汽车
      • 混合电动车（HEV）
      • 插电式混合电动车(PHEV)
      • 纯电动车（BEV）
    • 按用途
      • 半自主
      • 自主性
    • 按地区
      • 北美
      • 欧洲
      • 亚太地区 (APAC)
      • 拉丁美洲 (LATAM)
      • 中东和非洲 (MEA)

第5章北美汽车激光雷达市场

  • 2019-2029年市场车型及预测
    • 按金额
  • 市场份额及预测
    • 通过技术
    • 按职位
    • 通过图像投影
    • 按范围类型
    • 车辆类型
    • 按用途
    • 按国家/地区
      • 美国
      • 加拿大

第6章欧洲汽车激光雷达市场

  • 2019-2029 年市场车辆类型及预测
    • 按金额
  • 市场份额及预测
    • 通过技术
    • 按职位
    • 通过图像投影
    • 按范围类型
    • 车辆类型
    • 按用途
    • 按国家/地区
      • 德国
      • 英国
      • 意大利
      • 法国
      • 西班牙
      • 比利时
      • 俄罗斯
      • 荷兰
      • 其他欧洲国家

第7章亚太地区汽车激光雷达市场

  • 2019-2029 年市场车辆类型及预测
    • 按金额
  • 市场份额及预测
    • 按技术
    • 按地点
    • 通过图像投影
    • 按范围类型
    • 车辆类型
    • 按用途
    • 按国家/地区
      • 中国
      • 印度
      • 日本
      • 韩国
      • 澳大利亚和新西兰
      • 印尼
      • 马来西亚
      • 新加坡
      • 越南
      • 亚太地区其他国家

第8章拉丁美洲汽车激光雷达市场

  • 2019-2029 年市场车辆类型及预测
    • 按金额
  • 市场份额及预测
    • 通过技术
    • 按职位
    • 通过图像投影
    • 按范围类型
    • 按车型
    • 按用途
    • 按国家/地区
      • 巴西
      • 墨西哥
      • 阿根廷
      • 秘鲁
      • 拉丁美洲其他地区

第9章中东和非洲汽车激光雷达市场

  • 2019-2029 年市场车辆类型及预测
    • 按金额
  • 市场份额及预测
    • 按技术
    • 按地点
    • 通过图像投影
    • 按范围类型
    • 按车型
    • 按用途
    • 按国家/地区
      • 沙特阿拉伯
      • 阿拉伯联合酋长国
      • 卡塔尔
      • 科威特
      • 南非
      • 尼日利亚
      • 阿尔及利亚
      • MEA 的其余部分

第10章竞争形势

  • 主要企业及其产品列表
  • 2022年全球汽车激光雷达厂商市场份额分析
  • 通过运行参数进行竞争基准测试
  • 主要战略发展（合併、收购、合作伙伴关係等）

第11章COVID-19对全球汽车激光雷达市场的影响

第12章公司简介（公司简介、财务矩阵、竞争形势、关键人才、主要竞争、联繫地址、战略展望、SWOT分析）

  • Delphi Automotive PLC
  • NXP Semiconductors
  • TetraVue
  • XenomatiX NV
  • Luminar Technologies Inc.
  • LeddarTech Inc.
  • Continental AG
  • Robert Bosch GmbH
  • Quanergy Systems Inc.
  • Velodyne LIDAR Inc.
  • Valeo SA
  • HELLA GmbH & Co. KGaA
  • First Sensor AG
  • Ibeo Automotive Systems GmbH
  • DENSO Corporation
  • Other Prominent Players

第13章关键战略建议

第14章调查方法

  • 定性研究
    • 初级和次级研究
  • 定量研究
  • 市场细分和资料三角测量
    • 二次调查
    • 初步调查
  • 主要调查受访者的地区分布
  • 假设和限制
简介目录
Product Code: BWC23476

Global Automotive LiDAR Market Size Set to Grow at Robust CAGR of 39.10% to Reach USD 4918.59 Billion by 2029

Global automotive LiDAR market is rapidly growing due to increasing demand for advanced driver assistance systems (ADAS), improving safety standards in the automotive industry, and growing investments by automotive manufacturers and technology companies in LiDAR technology research and development.

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated global automotive LiDAR market size at USD 489.63 million in 2022. During the forecast period between 2023 and 2029, global automotive LiDAR market size is to grow at a robust CAGR of 39.10% reaching a value of USD 4918.59 million by 2029. Major factors driving the growth of the market are the increased need for autonomous vehicles driving the demand for enhanced sensing technologies such as LiDAR. LiDAR allows vehicles to correctly assess their surroundings, improving their navigation capabilities. Also, there is a noticeable shift towards solid-state LiDAR technology, which is more compact, durable, and cost-effective than classic mechanical scanning systems. This change is being accelerated by advances in semiconductor technology. Manufacturers of LiDAR solutions are concentrating on enhancing performance and lowering costs to make them more accessible to a wider range of vehicles, including passenger automobiles and commercial trucks.

Global Automotive LiDAR Market - Overview:

Automotive LiDAR (Light Detection and Ranging) is a term used to describe a technology that allows cars to see and understand their environment. It makes accurate three-dimensional maps of the surroundings using lasers to measure distances. Automotive LiDAR systems use laser pulses to calculate distances and build precise point cloud representations of their surroundings. They then time how long it takes for the light to reflect. Automotive LiDAR plays a critical role in advanced driver assistance systems (ADAS) and autonomous driving applications by delivering precise and real-time data on the vehicle's surroundings, improving safety, and enabling better navigation and decision-making by the vehicle.

Impact of COVID-19 on Global Automotive LiDAR Market

The COVID-19 pandemic significantly impacted the global automotive LiDAR market. As the automotive industry faced disruptions in production and supply chains, the demand for LiDAR technology was affected. The market experienced a slowdown due to temporary factory closures, reduced consumer spending, and supply chain constraints. The pandemic also led to a shift in consumer preferences, with a greater focus on essential needs rather than luxury items like advanced driver-assistance systems (ADAS) that rely on LiDAR. However, as the industry recovers and economies reopen, the automotive LiDAR market is expected to regain momentum, driven by the increasing adoption of autonomous vehicles and the growing emphasis on road safety.

Global Automotive LiDAR Market - By Location:

On the basis of location, global automotive LiDAR market is divided into Roofs & Upper Pillars, Headlights & Taillights, and Bumpers & Grills segments. Roofs & Upper Pillars segment is the largest contributor to the global automotive LiDAR market. This segment encompasses the integration of LiDAR technology into the roofs and upper pillars of vehicles. By incorporating LiDAR sensors in these areas, automotive manufacturers can enhance the capabilities of advanced driver assistance systems (ADAS) and autonomous driving features. The integration of LiDAR in roofs and upper pillars enables a wider field of view and improved detection of surrounding objects, ensuring safer and more efficient driving experiences. This segment represents a significant portion of the global automotive LiDAR market due to the increasing demand for advanced safety and autonomous driving solutions in the automotive industry.

Competitive Landscape:

Global automotive LiDAR market is fiercely competitive. Major companies in the market include Delphi Automotive PLC, NXP Semiconductors, TetraVue, XenomatiX N.V., Luminar Technologies Inc., LeddarTech Inc., Continental AG, Robert Bosch GmbH, Quanergy Systems Inc., Velodyne LIDAR Inc., Valeo SA, HELLA GmbH & Co. KGaA, First Sensor AG, Ibeo Automotive Systems GmbH, and DENSO Corporation. Companies use various strategies, including increasing investments in their R&D activities, mergers, and acquisitions, joint ventures, collaborations, licensing agreements, and new product and service releases to further strengthen their position in global automotive LiDAR market.

The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of Global Automotive LiDAR Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Global Automotive LiDAR Market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.

Table of Contents

1. Research Framework

  • 1.1. Research Objective
  • 1.2. Product Overview
  • 1.3. Market Segmentation

2. Executive Summary

3. Global Automotive LiDAR Market Insights

  • 3.1. Industry Value Chain Analysis
  • 3.2. DROC Analysis
    • 3.2.1. Growth Drivers
      • 3.2.1.1. Increasing Use of LiDAR Systems in Autonomous Vehicles to Boost Market Potential
      • 3.2.1.2. Surge in Investments & Funding in LiDAR Startups
    • 3.2.2. Restraints
      • 3.2.2.1. High Cost Of LIDAR System
    • 3.2.3. Opportunities
      • 3.2.3.1. Advancement in Technology
    • 3.2.4. Challenges
      • 3.2.4.1. Stringent Government Regulations
  • 3.3. Technology Advancements/Recent Developments
  • 3.4. Regulatory Framework
  • 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 New Entrants
    • 3.5.4. Threat of Substitutes
    • 3.5.5. Intensity of Rivalry

4. Global Automotive LiDAR Market Overview

  • 4.1. Market Vehicle Type & Forecast, 2019-2029
    • 4.1.1. By Value (USD Million)
  • 4.2. Market Share & Forecast
    • 4.2.1. By Technology
      • 4.2.1.1. Solid-state LiDAR
      • 4.2.1.2. Mechanical/Scanning LiDAR
    • 4.2.2. By Location
      • 4.2.2.1. Roofs & Upper Pillars
      • 4.2.2.2. Headlights & Taillights
      • 4.2.2.3. Bumpers & Grills
    • 4.2.3. By Image Projection
      • 4.2.3.1. 2D Automotive LiDAR
      • 4.2.3.2. 3D Automotive LiDAR
    • 4.2.4. By Range Type
      • 4.2.4.1. Short & Mid-range Automotive LiDAR
      • 4.2.4.2. Long-range Automotive LiDAR
    • 4.2.5. By Vehicle Type
      • 4.2.5.1. IC Engine Vehicles
      • 4.2.5.2. Hybrid Electric Vehicles (HEVs)
      • 4.2.5.3. Plug-in Hybrid Electric Vehicles (PHEVs)
      • 4.2.5.4. Battery Electric Vehicles (BEVs)
    • 4.2.6. By Application
      • 4.2.6.1. Semi-autonomous
      • 4.2.6.2. Autonomous
    • 4.2.7. By Region
      • 4.2.7.1. North America
      • 4.2.7.2. Europe
      • 4.2.7.3. Asia Pacific (APAC)
      • 4.2.7.4. Latin America (LATAM)
      • 4.2.7.5. Middle East and Africa (MEA)

5. North America Automotive LiDAR Market

  • 5.1. Market Vehicle Type & Forecast, 2019-2029
    • 5.1.1. By Value (USD Million)
  • 5.2. Market Share & Forecast
    • 5.2.1. By Technology
    • 5.2.2. By Location
    • 5.2.3. By Image Projection
    • 5.2.4. By Range Type
    • 5.2.5. By Vehicle Type
    • 5.2.6. By Application
    • 5.2.7. By Country
      • 5.2.7.1. United States
      • 5.2.7.1.1. By Technology
      • 5.2.7.1.2. By Location
      • 5.2.7.1.3. By Image Projection
      • 5.2.7.1.4. By Range Type
      • 5.2.7.1.5. By Vehicle Type
      • 5.2.7.1.6. By Application
      • 5.2.7.2. Canada
      • 5.2.7.2.1. By Technology
      • 5.2.7.2.2. By Location
      • 5.2.7.2.3. By Image Projection
      • 5.2.7.2.4. By Range Type
      • 5.2.7.2.5. By Vehicle Type
      • 5.2.7.2.6. By Application

6. Europe Automotive LiDAR Market

  • 6.1. Market Vehicle Type & Forecast, 2019-2029
    • 6.1.1. By Value (USD Million)
  • 6.2. Market Share & Forecast
    • 6.2.1. By Technology
    • 6.2.2. By Location
    • 6.2.3. By Image Projection
    • 6.2.4. By Range Type
    • 6.2.5. By Vehicle Type
    • 6.2.6. By Application
    • 6.2.7. By Country
      • 6.2.7.1. Germany
      • 6.2.7.1.1. By Technology
      • 6.2.7.1.2. By Location
      • 6.2.7.1.3. By Image Projection
      • 6.2.7.1.4. By Range Type
      • 6.2.7.1.5. By Vehicle Type
      • 6.2.7.1.6. By Application
      • 6.2.7.2. United Kingdom
      • 6.2.7.2.1. By Technology
      • 6.2.7.2.2. By Location
      • 6.2.7.2.3. By Image Projection
      • 6.2.7.2.4. By Range Type
      • 6.2.7.2.5. By Vehicle Type
      • 6.2.7.2.6. By Application
      • 6.2.7.3. Italy
      • 6.2.7.3.1. By Technology
      • 6.2.7.3.2. By Location
      • 6.2.7.3.3. By Image Projection
      • 6.2.7.3.4. By Range Type
      • 6.2.7.3.5. By Vehicle Type
      • 6.2.7.3.6. By Application
      • 6.2.7.4. France
      • 6.2.7.4.1. By Technology
      • 6.2.7.4.2. By Location
      • 6.2.7.4.3. By Image Projection
      • 6.2.7.4.4. By Range Type
      • 6.2.7.4.5. By Vehicle Type
      • 6.2.7.4.6. By Application
      • 6.2.7.5. Spain
      • 6.2.7.5.1. By Technology
      • 6.2.7.5.2. By Location
      • 6.2.7.5.3. By Image Projection
      • 6.2.7.5.4. By Range Type
      • 6.2.7.5.5. By Vehicle Type
      • 6.2.7.5.6. By Application
      • 6.2.7.6. Belgium
      • 6.2.7.6.1. By Technology
      • 6.2.7.6.2. By Location
      • 6.2.7.6.3. By Image Projection
      • 6.2.7.6.4. By Range Type
      • 6.2.7.6.5. By Vehicle Type
      • 6.2.7.6.6. By Application
      • 6.2.7.7. Russia
      • 6.2.7.7.1. By Technology
      • 6.2.7.7.2. By Location
      • 6.2.7.7.3. By Image Projection
      • 6.2.7.7.4. By Range Type
      • 6.2.7.7.5. By Vehicle Type
      • 6.2.7.7.6. By Application
      • 6.2.7.8. Netherlands
      • 6.2.7.8.1. By Technology
      • 6.2.7.8.2. By Location
      • 6.2.7.8.3. By Image Projection
      • 6.2.7.8.4. By Range Type
      • 6.2.7.8.5. By Vehicle Type
      • 6.2.7.8.6. By Application
      • 6.2.7.9. Rest of Europe
      • 6.2.7.9.1. By Technology
      • 6.2.7.9.2. By Location
      • 6.2.7.9.3. By Image Projection
      • 6.2.7.9.4. By Range Type
      • 6.2.7.9.5. By Vehicle Type
      • 6.2.7.9.6. By Application

7. Asia Pacific Automotive LiDAR Market

  • 7.1. Market Vehicle Type & Forecast, 2019-2029
    • 7.1.1. By Value (USD Million)
  • 7.2. Market Share & Forecast
    • 7.2.1. By Technology
    • 7.2.2. By Location
    • 7.2.3. By Image Projection
    • 7.2.4. By Range Type
    • 7.2.5. By Vehicle Type
    • 7.2.6. By Application
    • 7.2.7. By Country
      • 7.2.7.1. China
      • 7.2.7.1.1. By Technology
      • 7.2.7.1.2. By Location
      • 7.2.7.1.3. By Image Projection
      • 7.2.7.1.4. By Range Type
      • 7.2.7.1.5. By Vehicle Type
      • 7.2.7.1.6. By Application
      • 7.2.7.2. India
      • 7.2.7.2.1. By Technology
      • 7.2.7.2.2. By Location
      • 7.2.7.2.3. By Image Projection
      • 7.2.7.2.4. By Range Type
      • 7.2.7.2.5. By Vehicle Type
      • 7.2.7.2.6. By Application
      • 7.2.7.3. Japan
      • 7.2.7.3.1. By Technology
      • 7.2.7.3.2. By Location
      • 7.2.7.3.3. By Image Projection
      • 7.2.7.3.4. By Range Type
      • 7.2.7.3.5. By Vehicle Type
      • 7.2.7.3.6. By Application
      • 7.2.7.4. South Korea
      • 7.2.7.4.1. By Technology
      • 7.2.7.4.2. By Location
      • 7.2.7.4.3. By Image Projection
      • 7.2.7.4.4. By Range Type
      • 7.2.7.4.5. By Vehicle Type
      • 7.2.7.4.6. By Application
      • 7.2.7.5. Australia & New Zealand
      • 7.2.7.5.1. By Technology
      • 7.2.7.5.2. By Location
      • 7.2.7.5.3. By Image Projection
      • 7.2.7.5.4. By Range Type
      • 7.2.7.5.5. By Vehicle Type
      • 7.2.7.5.6. By Application
      • 7.2.7.6. Indonesia
      • 7.2.7.6.1. By Technology
      • 7.2.7.6.2. By Location
      • 7.2.7.6.3. By Image Projection
      • 7.2.7.6.4. By Range Type
      • 7.2.7.6.5. By Vehicle Type
      • 7.2.7.6.6. By Application
      • 7.2.7.7. Malaysia
      • 7.2.7.7.1. By Technology
      • 7.2.7.7.2. By Location
      • 7.2.7.7.3. By Image Projection
      • 7.2.7.7.4. By Range Type
      • 7.2.7.7.5. By Vehicle Type
      • 7.2.7.7.6. By Application
      • 7.2.7.8. Singapore
      • 7.2.7.8.1. By Technology
      • 7.2.7.8.2. By Location
      • 7.2.7.8.3. By Image Projection
      • 7.2.7.8.4. By Range Type
      • 7.2.7.8.5. By Vehicle Type
      • 7.2.7.8.6. By Application
      • 7.2.7.9. Vietnam
      • 7.2.7.9.1. By Technology
      • 7.2.7.9.2. By Location
      • 7.2.7.9.3. By Image Projection
      • 7.2.7.9.4. By Range Type
      • 7.2.7.9.5. By Vehicle Type
      • 7.2.7.9.6. By Application
      • 7.2.7.10. Rest of APAC
      • 7.2.7.10.1. By Technology
      • 7.2.7.10.2. By Location
      • 7.2.7.10.3. By Image Projection
      • 7.2.7.10.4. By Range Type
      • 7.2.7.10.5. By Vehicle Type
      • 7.2.7.10.6. By Application

8. Latin America Automotive LiDAR Market

  • 8.1. Market Vehicle Type & Forecast, 2019-2029
    • 8.1.1. By Value (USD Million)
  • 8.2. Market Share & Forecast
    • 8.2.1. By Technology
    • 8.2.2. By Location
    • 8.2.3. By Image Projection
    • 8.2.4. By Range Type
    • 8.2.5. By Vehicle Type
    • 8.2.6. By Application
    • 8.2.7. By Country
      • 8.2.7.1. Brazil
      • 8.2.7.1.1. By Technology
      • 8.2.7.1.2. By Location
      • 8.2.7.1.3. By Image Projection
      • 8.2.7.1.4. By Range Type
      • 8.2.7.1.5. By Vehicle Type
      • 8.2.7.1.6. By Application
      • 8.2.7.2. Mexico
      • 8.2.7.2.1. By Technology
      • 8.2.7.2.2. By Location
      • 8.2.7.2.3. By Image Projection
      • 8.2.7.2.4. By Range Type
      • 8.2.7.2.5. By Vehicle Type
      • 8.2.7.2.6. By Application
      • 8.2.7.3. Argentina
      • 8.2.7.3.1. By Technology
      • 8.2.7.3.2. By Location
      • 8.2.7.3.3. By Image Projection
      • 8.2.7.3.4. By Range Type
      • 8.2.7.3.5. By Vehicle Type
      • 8.2.7.3.6. By Application
      • 8.2.7.4. Peru
      • 8.2.7.4.1. By Technology
      • 8.2.7.4.2. By Location
      • 8.2.7.4.3. By Image Projection
      • 8.2.7.4.4. By Range Type
      • 8.2.7.4.5. By Vehicle Type
      • 8.2.7.4.6. By Application
      • 8.2.7.5. Rest of LATAM
      • 8.2.7.5.1. By Technology
      • 8.2.7.5.2. By Location
      • 8.2.7.5.3. By Image Projection
      • 8.2.7.5.4. By Range Type
      • 8.2.7.5.5. By Vehicle Type
      • 8.2.7.5.6. By Application

9. Middle East & Africa Automotive LiDAR Market

  • 9.1. Market Vehicle Type & Forecast, 2019-2029
    • 9.1.1. By Value (USD Million)
  • 9.2. Market Share & Forecast
    • 9.2.1. By Technology
    • 9.2.2. By Location
    • 9.2.3. By Image Projection
    • 9.2.4. By Range Type
    • 9.2.5. By Vehicle Type
    • 9.2.6. By Application
    • 9.2.7. By Country
      • 9.2.7.1. Saudi Arabia
      • 9.2.7.1.1. By Technology
      • 9.2.7.1.2. By Location
      • 9.2.7.1.3. By Image Projection
      • 9.2.7.1.4. By Range Type
      • 9.2.7.1.5. By Vehicle Type
      • 9.2.7.1.6. By Application
      • 9.2.7.2. UAE
      • 9.2.7.2.1. By Technology
      • 9.2.7.2.2. By Location
      • 9.2.7.2.3. By Image Projection
      • 9.2.7.2.4. By Range Type
      • 9.2.7.2.5. By Vehicle Type
      • 9.2.7.2.6. By Application
      • 9.2.7.3. Qatar
      • 9.2.7.3.1. By Technology
      • 9.2.7.3.2. By Location
      • 9.2.7.3.3. By Image Projection
      • 9.2.7.3.4. By Range Type
      • 9.2.7.3.5. By Vehicle Type
      • 9.2.7.3.6. By Application
      • 9.2.7.4. Kuwait
      • 9.2.7.4.1. By Technology
      • 9.2.7.4.2. By Location
      • 9.2.7.4.3. By Image Projection
      • 9.2.7.4.4. By Range Type
      • 9.2.7.4.5. By Vehicle Type
      • 9.2.7.4.6. By Application
      • 9.2.7.5. South Africa
      • 9.2.7.5.1. By Technology
      • 9.2.7.5.2. By Location
      • 9.2.7.5.3. By Image Projection
      • 9.2.7.5.4. By Range Type
      • 9.2.7.5.5. By Vehicle Type
      • 9.2.7.5.6. By Application
      • 9.2.7.6. Nigeria
      • 9.2.7.6.1. By Technology
      • 9.2.7.6.2. By Location
      • 9.2.7.6.3. By Image Projection
      • 9.2.7.6.4. By Range Type
      • 9.2.7.6.5. By Vehicle Type
      • 9.2.7.6.6. By Application
      • 9.2.7.7. Algeria
      • 9.2.7.7.1. By Technology
      • 9.2.7.7.2. By Location
      • 9.2.7.7.3. By Image Projection
      • 9.2.7.7.4. By Range Type
      • 9.2.7.7.5. By Vehicle Type
      • 9.2.7.7.6. By Application
      • 9.2.7.8. Rest of MEA
      • 9.2.7.8.1. By Technology
      • 9.2.7.8.2. By Location
      • 9.2.7.8.3. By Image Projection
      • 9.2.7.8.4. By Range Type
      • 9.2.7.8.5. By Vehicle Type
      • 9.2.7.8.6. By Application

10. Competitive Landscape

  • 10.1. List of Key Players and Their Offerings
  • 10.2. Global Automotive LiDAR Company Market Share Analysis, 2022
  • 10.3. Competitive Benchmarking, By Operating Parameters
  • 10.4. Key Strategic Developments (Mergers, Acquisitions, Partnerships, etc.)

11. Impact of Covid-19 on Global Automotive LiDAR Market

12. Company Profile (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, SWOT Analysis)

  • 12.1. Delphi Automotive PLC
  • 12.2. NXP Semiconductors
  • 12.3. TetraVue
  • 12.4. XenomatiX N.V.
  • 12.5. Luminar Technologies Inc.
  • 12.6. LeddarTech Inc.
  • 12.7. Continental AG
  • 12.8. Robert Bosch GmbH
  • 12.9. Quanergy Systems Inc.
  • 12.10. Velodyne LIDAR Inc.
  • 12.11. Valeo SA
  • 12.12. HELLA GmbH & Co. KGaA
  • 12.13. First Sensor AG
  • 12.14. Ibeo Automotive Systems GmbH
  • 12.15. DENSO Corporation
  • 12.16. Other Prominent Players

13. Key Strategic Recommendations

14. Research Methodology

  • 14.1. Qualitative Research
    • 14.1.1. Primary & Secondary Research
  • 14.2. Quantitative Research
  • 14.3. Market Breakdown & Data Triangulation
    • 14.3.1. Secondary Research
    • 14.3.2. Primary Research
  • 14.4. Breakdown of Primary Research Respondents, By Region
  • 14.5. Assumptions & Limitations