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汽車LiDAR市場 - 全球規模、佔有率、趨勢分析、機遇、預測報告，2019-2029，按技術、按地點、按圖像投影、按範圍類型、按車型、用途、按區域分析
市場調查報告書
商品編碼
1301785

汽車LiDAR市場 - 全球規模、佔有率、趨勢分析、機遇、預測報告，2019-2029，按技術、按地點、按圖像投影、按範圍類型、按車型、用途、按區域分析

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個工作天內

價格
簡介目錄

汽車LiDAR全球市場規模預計將以39.10%的年複合成長率穩定成長，到2029年將達到49,185.9億美元

由於先進駕駛輔助系統（ADAS）需求的增加、汽車行業安全標準的提高以及汽車製造商和科技公司對LiDAR技術研發的投資增加，全球汽車LiDAR市場快速成長。

領先的戰略諮詢和市場研究公司 BlueWeave Consulting 最近估計，2022年全球汽車 LiDAR 市場價值將達到 4.8963 億美元。2023-2029年預測期內，全球汽車LiDAR市場規模預計將以39.10%的年複合成長率強勁成長，2029年達到491859萬美元。推動市場成長的主要因素是對自動駕駛汽車的需求不斷成長，這推動了對LiDAR等增強型感測技術的需求。LiDAR使車輛能夠正確評估周圍環境並提高導航能力。固態LiDAR技術也發生了明顯的轉變，該技術比傳統機械掃描系統更緊湊、耐用且更具成本效益。半導體技術的進步加速這種變化。 LiDAR 解決方案製造商致力於提高性能和降低成本，以支持更廣泛的車輛，包括乘用車和商用卡車。

本報告的詳細分析提供了有關全球汽車LiDAR市場的成長潛力、未來趨勢和統計資料的資訊。還研究了推動市場總規模預測的因素。本報告致力於提供全球汽車LiDAR市場的最新技術趨勢和行業見解，幫助決策者做出明智的戰略決策。它還分析了市場成長促進因素、挑戰和競爭動態。

目錄

第1章 研究框架

第2章 執行摘要

第3章 全球汽車LiDAR市場洞察

  • 行業價值鏈分析
  • DROC分析
    • 成長背後的動力
      • 增加LiDAR系統在自動駕駛汽車中的使用，以增加市場潛力
      • LiDAR初創公司的投資和資金籌措激增
    • 抑制因素
      • 昂貴的LiDAR系統
    • 機會
      • 科技的發展
    • 任務
      • 嚴格的政府法規
  • 技術進步/最新發展
  • 法律規範
  • 波特五力分析

第4章 全球汽車LiDAR市場概況

  • 2019-2029年市場車輛類型及預測
    • 按金額
  • 市場佔有率及預測
    • 按技術
      • 固態LiDAR
      • 機械/掃描LiDAR
    • 按位置
      • 屋頂和上柱
      • 車頭燈和尾燈
      • 保險桿和格柵
    • 按圖像投影
      • 2D 汽車LiDAR
      • 3D 汽車LiDAR
    • 按範圍類型
      • 短距離和中距離汽車LiDAR
      • 遠距離車載LiDAR
    • 按車輛類型
      • 內燃機汽車
      • 混合電動車（HEV）
      • 插電式混合電動車(PHEV)
      • 純電動車（BEV）
    • 按用途
      • 半自主
      • 自主性
    • 按地區
      • 北美
      • 歐洲
      • 亞太地區 (APAC)
      • 拉丁美洲 (LATAM)
      • 中東和非洲 (MEA)

第5章 北美汽車LiDAR市場

  • 2019-2029年市場車型及預測
    • 按金額
  • 市場佔有率及預測
    • 按技術
    • 按位置
    • 按圖像投影
    • 按範圍類型
    • 按車輛類型
    • 按用途
    • 按國家/地區
      • 美國
      • 加拿大

第6章 歐洲汽車LiDAR市場

  • 2019-2029年市場車輛類型及預測
    • 按金額
  • 市場佔有率及預測
    • 按技術
    • 按位置
    • 按圖像投影
    • 按範圍類型
    • 按車輛類型
    • 按用途
    • 按國家/地區
      • 德國
      • 英國
      • 義大利
      • 法國
      • 西班牙
      • 比利時
      • 俄羅斯
      • 荷蘭
      • 其他歐洲國家

第7章 亞太地區汽車LiDAR市場

  • 2019-2029年市場車輛類型及預測
    • 按金額
  • 市場佔有率及預測
    • 按技術
    • 按位置
    • 按圖像投影
    • 按範圍類型
    • 按車輛類型
    • 按用途
    • 按國家/地區
      • 中國
      • 印度
      • 日本
      • 韓國
      • 澳洲和紐西蘭
      • 印尼
      • 馬來西亞
      • 新加坡
      • 越南
      • 亞太地區其他國家

第8章 拉丁美洲汽車LiDAR市場

  • 2019-2029年市場車輛類型及預測
    • 按金額
  • 市場佔有率及預測
    • 按技術
    • 按位置
    • 按圖像投影
    • 按範圍類型
    • 按車型
    • 按用途
    • 按國家/地區
      • 巴西
      • 墨西哥
      • 阿根廷
      • 秘魯
      • 拉丁美洲其他地區

第9章 中東和非洲汽車LiDAR市場

  • 2019-2029年市場車輛類型及預測
    • 按金額
  • 市場佔有率及預測
    • 按技術
    • 按位置
    • 按圖像投影
    • 按範圍類型
    • 按車型
    • 按用途
    • 按國家/地區
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 科威特
      • 南非
      • 奈及利亞
      • 阿爾及利亞
      • MEA 的其餘部分

第10章 競爭形勢

  • 主要企業及其產品列表
  • 2022年全球汽車LiDAR廠商市場佔有率分析
  • 按運行參數進行競爭基準測試
  • 主要戰略發展（合併、收購、合作夥伴關係等）

第11章COVID-19對全球汽車LiDAR市場的影響

第12章公司簡介（公司簡介、財務矩陣、競爭形勢、關鍵人才、主要競爭、聯繫地址、戰略展望、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章關鍵戰略建議

第14章調查方法

  • 定性研究
    • 初級和次級研究
  • 定量研究
  • 市場細分和資料三角測量
    • 二次調查
    • 初步調查
  • 主要調查受訪者的地區分佈
  • 假設和限制
簡介目錄
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