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表紙：自動車用LiDAR市場- 世界の規模、シェア、動向分析、機会、予測レポート、2019-2029年、技術別、位置別、画像投影別、レンジタイプ別、車種別、用途別、地域別分析
市場調査レポート
商品コード
1301785

自動車用LiDAR市場- 世界の規模、シェア、動向分析、機会、予測レポート、2019-2029年、技術別、位置別、画像投影別、レンジタイプ別、車種別、用途別、地域別分析

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: | 発行: Blueweave Consulting | ページ情報: 英文 400 Pages | 納期: 2～3営業日

価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=156.70円
自動車用LiDAR市場- 世界の規模、シェア、動向分析、機会、予測レポート、2019-2029年、技術別、位置別、画像投影別、レンジタイプ別、車種別、用途別、地域別分析
出版日: 2023年06月19日
発行: Blueweave Consulting
ページ情報: 英文 400 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 目次
概要

自動車用LiDARの世界市場規模はCAGR 39.10%で堅調に成長し、2029年には4兆9,185億9,000万米ドルに達する見込み

世界の自動車用LiDAR市場は、ADAS（先進運転支援システム）の需要増加、自動車業界の安全基準向上、自動車メーカーやテクノロジー企業によるLiDAR技術研究開発への投資拡大などにより、急速に成長しています。

戦略コンサルティング・市場調査の大手であるBlueWeave Consulting社は、最近の調査で、2022年の自動車用LiDARの世界市場規模を4億8,963万米ドルと推定しました。2023年から2029年にかけての予測期間中、世界の自動車用LiDAR市場規模は39.10%の堅調なCAGRで成長し、2029年には49億1,859万米ドルに達する見込みです。市場の成長を促進する主な要因は、自律走行車に対するニーズの高まりが、LiDARのような強化されたセンシング技術に対する需要を促進していることです。LiDARは、車両が周囲の状況を正しく評価し、ナビゲーション能力を向上させることを可能にします。また、従来の機械式スキャンシステムよりもコンパクトで耐久性があり、コスト効率の高いソリッドステートLiDAR技術へのシフトも顕著です。この変化は、半導体技術の進歩によって加速されています。LiDARソリューションのメーカーは、乗用車や商用トラックなど、より幅広い車種に対応できるよう、性能向上とコスト削減に注力しています。

本レポートの詳細な分析により、世界の自動車用LiDAR市場の成長可能性、今後の動向、統計に関する情報を提供します。また、総市場規模の予測を促進する要因にも注目しています。当レポートは、世界の自動車用LiDAR市場の最新技術動向や業界に関する洞察を提供し、意思決定者が健全な戦略的意思決定を行えるよう支援することをお約束します。さらに、市場の成長促進要因・課題・競争力学についても分析しています。

目次

第1章 調査の枠組み

第2章 エグゼクティブサマリー

第3章 世界の自動車用LiDAR市場に関する洞察

  • 業界のバリューチェーン分析
  • DROC分析
    • 成長の原動力
      • 市場の可能性を高めるために自動運転車でのLiDARシステムの使用を増やす
      • LiDARスタートアップへの投資と資金調達の急増
    • 抑制要因
      • 高額なLIDARシステム
    • 機会
      • テクノロジーの進歩
    • 課題
      • 政府の厳しい規制
  • 技術の進歩/最近の開発
  • 規制の枠組み
  • ポーターのファイブフォース分析

第4章 世界の自動車用LiDAR市場概要

  • 市場車両の種類と予測、2019～2029年
    • 金額別
  • 市場シェアと予測
    • 技術別
      • ソリッドステートLiDAR
      • 機械式/スキャニングLiDAR
    • 位置別
      • ルーフと上柱
      • ヘッドライトとテールライト
      • バンパー&グリル
    • 画像投影別
      • 2D自動車用LiDAR
      • 3D自動車用LiDAR
    • レンジタイプ別
      • 短距離および中距離の自動車用LiDAR
      • 長距離自動車用LiDAR
    • 車種別
      • ICエンジン車両
      • ハイブリッド電気自動車（HEV）
      • プラグインハイブリッド電気自動車（PHEV）
      • バッテリー電気自動車（BEV）
    • 用途別
      • 半自律型
      • 自律型
    • 地域別
      • 北米
      • 欧州
      • アジア太平洋（APAC）
      • ラテンアメリカ（LATAM）
      • 中東およびアフリカ（MEA）

第5章 北米の自動車用LiDAR市場

  • 市場車両の種類と予測、2019～2029年
    • 金額別
  • 市場シェアと予測
    • 技術別
    • 位置別
    • 画像投影別
    • レンジタイプ別
    • 車種別
    • 用途別
    • 国別
      • 米国
      • カナダ

第6章 欧州の自動車用LiDAR市場

  • 市場車両の種類と予測、2019～2029年
    • 金額別
  • 市場シェアと予測
    • 技術別
    • 位置別
    • 画像投影別
    • レンジタイプ別
    • 車種別
    • 用途別
    • 国別
      • ドイツ
      • 英国
      • イタリア
      • フランス
      • スペイン
      • ベルギー
      • ロシア
      • オランダ
      • その他欧州

第7章 アジア太平洋地域の自動車用LiDAR市場

  • 市場車両の種類と予測、2019～2029年
    • 金額別
  • 市場シェアと予測
    • 技術別
    • 位置別
    • 画像投影別
    • レンジタイプ別
    • 車種別
    • 用途別
    • 国別
      • 中国
      • インド
      • 日本
      • 韓国
      • オーストラリアとニュージーランド
      • インドネシア
      • マレーシア
      • シンガポール
      • ベトナム
      • APACのその他諸国

第8章 ラテンアメリカの自動車用LiDAR市場

  • 市場車両の種類と予測、2019～2029年
    • 金額別
  • 市場シェアと予測
    • 技術別
    • 位置別
    • 画像投影別
    • レンジタイプ別
    • 車種別
    • 用途別
    • 国別
      • ブラジル
      • メキシコ
      • アルゼンチン
      • ペルー
      • 中南米の残りの地域

第9章 中東およびアフリカの自動車用LiDAR市場

  • 市場車両の種類と予測、2019～2029年
    • 金額別
  • 市場シェアと予測
    • 技術別
    • 位置別
    • 画像投影別
    • レンジタイプ別
    • 車種別
    • 用途別
    • 国別
      • サウジアラビア
      • アラブ首長国連邦
      • カタール
      • クウェート
      • 南アフリカ
      • ナイジェリア
      • アルジェリア
      • MEAの残りの部分

第10章 競合情勢

  • 主要企業とその製品のリスト
  • 世界の自動車用LiDAR企業の市場シェア分析、2022年
  • 動作パラメータ別競合ベンチマーキング
  • 主要な戦略的展開（合併、買収、パートナーシップなど）

第11章 世界の自動車用LiDAR市場に対するCOVID-19の影響

第12章 企業プロファイル（会社概要、財務マトリックス、競合情勢、主要な人材、主要な競合、連絡先住所、戦略的展望、 SWOT分析）

  • 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
  • DENSO Corporation
  • Other Prominent Players

第13章 主要な戦略的推奨事項

第14章 調査手法

  • 定性的調査
    • 一次および2次調査
  • 定量的調査
  • 市場内訳とデータの三角測量
    • 2次調査
    • 1次調査
  • 1次調査回答者の地域別内訳
  • 前提と制限
目次
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