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市場調查報告書
商品編碼
2081195

汽車LiDAR市場預測至2034年－全球LiDAR類型、技術、組件、偵測範圍、安裝位置、應用和區域分析

Automotive LiDAR Market Forecasts to 2034 - Global Analysis By LiDAR Type (Mechanical LiDAR, Solid-State LiDAR, and Hybrid LiDAR), Technology, Component, Range, Installation Location, Application, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球汽車LiDAR市場預計將在 2026 年達到 46.6 億美元，到 2034 年達到 120.7 億美元，在預測期內以 12.62% 的複合年成長率成長。

車載雷射雷達是一種先進的感測技術，它利用雷射脈衝測量距離，並創建車輛周圍環境的高解析度即時3D地圖。即使在惡劣條件下，它也能實現精確的物體偵測和環境感知，因此在實現高階駕駛輔助系統（ADAS）和自動駕駛方面發揮著至關重要的作用。

對先進安全功能和自動駕駛能力的需求日益成長

汽車雷射雷達市場的主要驅動力是消費者對車輛安全性的日益成長的需求以及自動駕駛技術的快速發展。雷射雷達是高級駕駛輔助系統（ADAS）和自動駕駛汽車的核心感測器，可提供高解析度的3D感知數據，這對於自動緊急煞車、主動式車距維持定速系統和車道維持輔助等功能至關重要。隨著美國國家公路交通安全管理局（NHTSA）和歐洲新車安全評估協會（Euro NCAP）等監管機構日益強制要求車輛配備先進的安全功能，以及行業向L3級及以上自動駕駛水平邁進，雷射雷達即使在弱光和惡劣天氣條件下也能提供準確可靠的環境數據，其重要性日益凸顯。這正加速LiDAR從豪華車向更主流車型的普及。

技術整合的高成本與挑戰

高昂的系統成本和複雜的整合挑戰是汽車LiDAR市場的主要限制因素。儘管近期價格有所下降，但高性能LiDAR單元，尤其是遠程和固態雷射雷達，仍然價格昂貴，這影響了其在對成本敏感的汽車細分市場的普及。將LiDAR系統整合到車輛設計中需要複雜的工程技術，以在不影響性能的前提下，兼顧封裝、外觀和散熱等方面的要求。此外，開發和檢驗用於即時處理海量雷射雷達點雲資料以實現安全自動駕駛的複雜軟體演算法，也是一項重大的技術挑戰。這些因素導致整車成本增加，開發週期延長。

降低成本和提高固態雷射雷達技術

固態雷射雷達技術的持續發展和成本降低帶來了巨大的市場機會。固態系統由於沒有移動部件，與傳統的機械式雷射雷達相比，具有更高的耐用性、更小的體積和更低的製造成本。向固態設計的轉變，包括基於微機電系統（MEMS）、快閃記憶體和光學相控陣式雷射雷達，使得感測器更加經濟可靠，並可無縫整合到車輛的格柵、保險桿和頭燈中。半導體技術的快速發展，例如單光子崩潰式二極體（SPAD）檢測器的應用，也有助於在降低成本的同時提升效能。這一趨勢對於加速雷射雷達技術的應用、使其在消費級車輛中的應用以及加速自動駕駛功能的部署至關重要。

資料管理與網路安全漏洞

有效利用LiDAR數據需要一個強大且高頻寬的車載網路，用於即時處理海量點雲數據，以及一個高性能的車載計算平台，這可能會給現有的電氣和電子架構帶來壓力。更重要的是，對資料傳輸和網路連接的依賴使雷射雷達以及更廣泛的感知系統面臨潛在的網路攻擊風險。篡改感測器數據或惡意干擾會導致高階駕駛輔助系統（ADAS）和自動駕駛系統出現感知錯誤和決策失誤。這會帶來重大的安全隱患，並可能導致事故或系統故障。保護LiDAR資料的完整性、機密性和彈性免受網路威脅是一項日益嚴峻的挑戰，需要持續的警覺和大量的投資。

新型冠狀病毒（COVID-19）的影響：

新冠疫情初期對汽車LiDAR市場的影響喜憂參半。工廠停工、供應鏈瓶頸以及汽車產量銳減導致市場嚴重混亂，新車型發布延遲，先進技術投資減少。然而，這場危機也凸顯了自動化和非接觸式科技的價值。隨著產業復甦，人們對車輛安全和自動駕駛功能的關注度再次提升，加速了這一趨勢。LiDAR在其中扮演核心角色。疫情有效地凸顯了高階駕駛輔助系統（ADAS）的戰略重要性，隨著製造商優先考慮韌性、安全性和技術領先地位，雷射雷達市場正走上快速成長的道路。

在預測期內，固態雷射雷達細分市場預計將佔據最大的市場佔有率。

在預測期內，固態雷射雷達預計將佔據最大的市場佔有率。這一成長主要得益於固態設計相比機械系統所具有的卓越耐用性、緊湊尺寸和成本降低潛力。由於沒有移動部件，固態雷射雷達非常適合整合到汽車中，例如格柵、保險桿和大燈，在提供高可靠性的同時，也不會影響車輛的美觀。乘用車中高級駕駛輔助系統（ADAS）和自動駕駛技術的日益普及，顯示了市場對這些可靠且經濟高效的感測器的巨大需求，使該領域成為市場領先技術。

預計在預測期內，遠程LiDAR領域將呈現最高的複合年成長率。

在預測期內，遠程雷射雷達（200公尺及以上）市場預計將呈現最高的成長率。這是因為該細分市場在實現高速自動駕駛和高級安全功能方面發揮著至關重要的作用。遠程雷射雷達能夠提供高速公路行駛時自動緊急煞車所需的偵測範圍，從而確保高速行駛的安全。華為896通道雷射雷達等先進高通道技術的發展，顯著提升了識別範圍和精度，推動了市場對這類系統的需求，以實現更高水準的車輛自動駕駛。

市佔率最大的地區：

在預測期內，亞太地區預計將佔據最大的市場佔有率。這主要得益於自動駕駛技術的快速普及，尤其是在中國——全球雷射雷達部署領域的領導者。該地區受益於政府大力支持電動車和自動駕駛汽車的舉措、蓬勃發展的汽車製造地，以及何賽和睿思等主要LiDAR供應商的存在。自動駕駛專案的巨額投資和新組裝的建設正在加速雷射雷達的整合應用。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於不斷壯大的中產階級、對具備先進安全功能的車輛日益成長的需求以及有利的法規結構。中國、日本、韓國和印度等國家正大力投資汽車產業現代化，並推動本土技術的發展。隨著車輛數量的快速成長以及對維護和製造能力現代化的重視，該地區已成為雷射雷達市場擴張的關鍵區域，其中中國憑藉其強大的國內供應鍊和較高的消費者滲透率，將發揮主導作用。

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目錄

第1章：執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球汽車LiDAR市場：以LiDAR類型分類

  • 機械LiDAR
  • 固態雷射雷達
    • 基於MEMS的LiDAR
    • 閃光雷射雷達
    • 光學相控陣（OPA）雷射雷達
  • 混合LiDAR

第6章 全球汽車LiDAR市場：依技術分類

  • 飛行時間（ToF）雷射雷達
    • 直接飛行時間
    • 間接飛行時間
  • 調頻連續波（FMCW）雷射雷達
  • 脈衝雷射雷達

第7章 全球汽車LiDAR市場：依組件分類

  • 雷射光源
    • 光纖雷射
    • 半導體雷射
  • 檢測器
    • 崩光二極體
    • 單光子崩潰式二極體
  • 掃描器和光學裝置
  • 處理器和控制器
  • 軟體和演算法

第8章 全球汽車LiDAR市場：依範圍分類

  • 短程LiDAR（小於100公尺）
  • 中程LiDAR（100-200公尺）
  • 遠程LiDAR（>200公尺）

第9章：全球汽車LiDAR市場：依安裝位置分類

  • 車頂安裝式LiDAR
  • 前格柵雷射雷達
  • 保險桿安裝式LiDAR
  • 整合於頭燈中的LiDAR
  • 側裝式雷射雷達
  • 後置雷射雷達

第10章 全球汽車LiDAR市場：依應用領域分類

  • 高級駕駛輔助系統（ADAS）
  • 自動駕駛
  • 停車協助
  • 交通監控和地圖
  • 防碰撞系統

第11章 全球汽車LiDAR市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • Luminar Technologies
  • Hesai Technology
  • RoboSense
  • Innoviz Technologies
  • Ouster
  • Valeo
  • Aeva Technologies
  • Cepton
  • Continental AG
  • Bosch
  • Velodyne LiDAR
  • Quanergy
  • Livox
  • Seyond
  • Blickfeld
Product Code: SMRC37674

According to Stratistics MRC, the Global Automotive LiDAR Market is accounted for $4.66 billion in 2026 and is expected to reach $12.07 billion by 2034, growing at a CAGR of 12.62% during the forecast period. Automotive LiDAR is an advanced sensing technology that uses laser pulses to measure distances and creates high-resolution, real-time 3D maps of a vehicle's surroundings. It plays a critical role in enabling advanced driver-assistance systems (ADAS) and autonomous driving by providing accurate object detection and environmental perception even in challenging conditions.

Market Dynamics:

Driver:

Increasing demand for advanced safety and autonomous driving features

The automotive LiDAR market is primarily driven by the escalating consumer demand for enhanced vehicle safety and the rapid progression of autonomous driving technologies. LiDAR is a cornerstone sensor for ADAS and autonomous vehicles, providing the high-resolution, three-dimensional perception required for functions like automatic emergency braking, adaptive cruise control, and lane-keeping assist. As regulatory bodies such as the NHTSA and Euro NCAP increasingly mandate advanced safety features and the industry moves towards Level 3 and higher automation, LiDAR's ability to offer precise, reliable environmental data, even in low-light or adverse weather, makes it indispensable. This has accelerated its adoption from luxury vehicles to more mainstream models.

Restraint:

High costs and technological integration challenges

High system costs and complex integration challenges are significant restraints for the automotive LiDAR market. Despite recent price reductions, high-performance LiDAR units, particularly long-range and solid-state variants, remain expensive, impacting their adoption in cost-sensitive vehicle segments. The integration of LiDAR systems into vehicle designs requires sophisticated engineering to manage packaging, aesthetics, and thermal requirements without compromising performance. Furthermore, developing and validating the complex software algorithms needed to process massive amounts of LiDAR point cloud data in real-time for safe autonomous navigation presents a substantial technological hurdle. These factors contribute to higher overall vehicle costs and extended development cycles.

Opportunity:

Cost reduction and solid-state LiDAR advancement

A significant market opportunity lies in the ongoing development and cost reduction of solid-state LiDAR technology. Solid-state systems, which have no moving parts, offer superior durability, smaller form factors, and lower manufacturing costs compared to traditional mechanical LiDAR . The shift towards solid-state designs, including MEMS-based, Flash, and Optical Phased Array LiDAR, is enabling more affordable and reliable sensors that can be seamlessly integrated into vehicle grilles, bumpers, and headlights. The rapid advancement in semiconductor technology, such as the use of SPAD (Single-Photon Avalanche Diode) detectors, is also enhancing performance while reducing costs . This trend is crucial for democratizing LiDAR technology, enabling its adoption in mass-market vehicles and accelerating the deployment of autonomous driving capabilities.

Threat:

Data management and cybersecurity vulnerabilities

The effective use of LiDAR data requires robust, high-bandwidth in-vehicle networks and powerful on-board computing platforms to process the massive point clouds in real-time, which can strain existing electrical/electronic architectures. More critically, the reliance on data transmission and networked connectivity exposes LiDAR and the broader perception system to potential cyberattacks. Compromised sensor data or malicious interference could lead to incorrect environmental perception and faulty decision-making by ADAS or autonomous driving systems. This poses significant safety risks, potentially causing accidents or system failures. Protecting the integrity, confidentiality, and resilience of LiDAR data against cyber threats is a growing challenge that requires constant vigilance and significant investment.

Covid-19 Impact:

The COVID-19 pandemic initially had a mixed impact on the automotive LiDAR market. The market faced significant disruptions due to factory shutdowns, supply chain bottlenecks, and a sharp decline in vehicle production, leading to deferred new model rollouts and reduced spending on advanced technologies. However, the crisis also underscored the value of automation and contactless technology. As the industry recovered, there was a renewed and accelerated focus on vehicle safety and autonomous features, with LiDAR playing a central role. The pandemic effectively highlighted the strategic importance of advanced driver-assistance systems, positioning the LiDAR market for rapid growth as manufacturers prioritize resilience, safety, and technological leadership.

The Solid-State LiDAR segment is expected to be the largest during the forecast period

The Solid-State LiDAR segment is expected to account for the largest market share during the forecast period. This growth is driven by the superior durability, compact size, and lower cost potential of solid-state designs compared to mechanical systems. Solid-state LiDAR, which lacks moving parts, is better suited for automotive integration in grilles, bumpers, and headlights, preserving vehicle aesthetics while offering high reliability. The ongoing trend of mass adoption in passenger cars for ADAS and autonomous driving requires a substantial volume of these reliable and cost-effective sensors, making them the dominant technology.

The Long-Range LiDAR segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Long-Range LiDAR (Above 200 m) segment is predicted to witness the highest growth rate. This is due to its critical role in enabling high-speed autonomous driving and advanced safety features. Long-range LiDAR provides the necessary detection distance for highway-speed automatic emergency braking and ensures safe navigation at higher velocities. The development of advanced, high-channel-count technologies like the 896-channel LiDAR from Huawei, which significantly increases recognition distance and accuracy, is fueling demand for these systems to achieve higher levels of vehicle autonomy.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, driven by the rapid adoption of autonomous driving technologies, particularly in China, which has become a global leader in LiDAR deployment. The region benefits from strong government initiatives supporting electric and autonomous vehicles, a booming automotive manufacturing base, and the presence of key LiDAR suppliers like Hesai and RoboSense. Massive investments in autonomous driving programs and the establishment of new assembly lines are accelerating the integration of LiDAR.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is also anticipated to exhibit the highest CAGR, fueled by the expansion of the middle class, increasing demand for vehicles with advanced safety features, and supportive regulatory frameworks. Countries like China, Japan, South Korea, and India are heavily investing in modernizing their automotive sectors and promoting indigenous technology development. The region's rapidly growing fleet and focus on modernizing maintenance and manufacturing capabilities make it a key area for LiDAR market expansion, with China leading the way due to its robust domestic supply chain and consumer adoption.

Key players in the market

Some of the key players in the Automotive LiDAR Market include Luminar Technologies, Hesai Technology, RoboSense, Innoviz Technologies, Ouster, Valeo, Aeva Technologies, Cepton, Continental AG, Bosch, Velodyne LiDAR, Quanergy, Livox, Seyond, and Blickfeld.

Key Developments:

In February 2026, Honeywell announced that it has entered into an amended agreement to acquire Johnson Matthey's Catalyst Technologies business segment, which adjusts the total consideration from £1.8 billion to £1.325 billion and extends the long stop date to July 21, 2026. In the event that any of the regulatory approvals are not satisfied by the long stop date, the long stop date may be extended to August 21, 2026, if certain conditions are met.

In February 2026, Boeing announced the largest landing gear exchange contract in Boeing's history at the Singapore Airshow. Under this contract, Boeing will provide landing gear exchanges for more than 75 aircraft across the 737 MAX and 787 fleets operated by the Singapore Airlines (SIA) Group. The landing gear exchange program offers gear overhaul scheduling flexibility that will optimize the useful life of the gears and minimizing aircraft downtime.

LiDAR Types Covered:

  • Mechanical LiDAR
  • Solid-State LiDAR
  • Hybrid LiDAR

Technologies Covered:

  • Time-of-Flight (ToF) LiDAR
  • Frequency-Modulated Continuous Wave (FMCW) LiDAR
  • Pulsed LiDAR

Components Covered:

  • Laser Source
  • Photodetector
  • Scanner and Optics
  • Processor and Controller
  • Software and Algorithms

Ranges Covered:

  • Short-Range LiDAR (Up to 100 m)
  • Medium-Range LiDAR (100-200 m)
  • Long-Range LiDAR (Above 200 m)

Installation Locations Covered:

  • Roof-Mounted LiDAR
  • Front Grille LiDAR
  • Bumper-Mounted LiDAR
  • Headlight Integrated LiDAR
  • Side-Mounted LiDAR
  • Rear-Mounted LiDAR

Applications Covered:

  • Advanced Driver Assistance Systems (ADAS)
  • Autonomous Driving
  • Parking Assistance
  • Traffic Monitoring and Mapping
  • Collision Avoidance Systems

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Automotive LiDAR Market, By LiDAR Type

  • 5.1 Mechanical LiDAR
  • 5.2 Solid-State LiDAR
    • 5.2.1 MEMS-Based LiDAR
    • 5.2.2 Flash LiDAR
    • 5.2.3 Optical Phased Array (OPA) LiDAR
  • 5.3 Hybrid LiDAR

6 Global Automotive LiDAR Market, By Technology

  • 6.1 Time-of-Flight (ToF) LiDAR
    • 6.1.1 Direct ToF
    • 6.1.2 Indirect ToF
  • 6.2 Frequency-Modulated Continuous Wave (FMCW) LiDAR
  • 6.3 Pulsed LiDAR

7 Global Automotive LiDAR Market, By Component

  • 7.1 Laser Source
    • 7.1.1 Fiber Laser
    • 7.1.2 Semiconductor Laser
  • 7.2 Photodetector
    • 7.2.1 Avalanche Photodiode
    • 7.2.2 Single Photon Avalanche Diode
  • 7.3 Scanner and Optics
  • 7.4 Processor and Controller
  • 7.5 Software and Algorithms

8 Global Automotive LiDAR Market, By Range

  • 8.1 Short-Range LiDAR (Up to 100 m)
  • 8.2 Medium-Range LiDAR (100-200 m)
  • 8.3 Long-Range LiDAR (Above 200 m)

9 Global Automotive LiDAR Market, By Installation Location

  • 9.1 Roof-Mounted LiDAR
  • 9.2 Front Grille LiDAR
  • 9.3 Bumper-Mounted LiDAR
  • 9.4 Headlight Integrated LiDAR
  • 9.5 Side-Mounted LiDAR
  • 9.6 Rear-Mounted LiDAR

10 Global Automotive LiDAR Market, By Application

  • 10.1 Advanced Driver Assistance Systems (ADAS)
  • 10.2 Autonomous Driving
  • 10.3 Parking Assistance
  • 10.4 Traffic Monitoring and Mapping
  • 10.5 Collision Avoidance Systems

11 Global Automotive LiDAR Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 Luminar Technologies
  • 14.2 Hesai Technology
  • 14.3 RoboSense
  • 14.4 Innoviz Technologies
  • 14.5 Ouster
  • 14.6 Valeo
  • 14.7 Aeva Technologies
  • 14.8 Cepton
  • 14.9 Continental AG
  • 14.10 Bosch
  • 14.11 Velodyne LiDAR
  • 14.12 Quanergy
  • 14.13 Livox
  • 14.14 Seyond
  • 14.15 Blickfeld

List of Tables

  • Table 1 Global Automotive LiDAR Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Automotive LiDAR Market Outlook, By LiDAR Type (2023-2034) ($MN)
  • Table 3 Global Automotive LiDAR Market Outlook, By Mechanical LiDAR (2023-2034) ($MN)
  • Table 4 Global Automotive LiDAR Market Outlook, By Solid-State LiDAR (2023-2034) ($MN)
  • Table 5 Global Automotive LiDAR Market Outlook, By MEMS-Based LiDAR (2023-2034) ($MN)
  • Table 6 Global Automotive LiDAR Market Outlook, By Flash LiDAR (2023-2034) ($MN)
  • Table 7 Global Automotive LiDAR Market Outlook, By Optical Phased Array (OPA) LiDAR (2023-2034) ($MN)
  • Table 8 Global Automotive LiDAR Market Outlook, By Hybrid LiDAR (2023-2034) ($MN)
  • Table 9 Global Automotive LiDAR Market Outlook, By Technology (2023-2034) ($MN)
  • Table 10 Global Automotive LiDAR Market Outlook, By Time-of-Flight (ToF) LiDAR (2023-2034) ($MN)
  • Table 11 Global Automotive LiDAR Market Outlook, By Direct ToF (2023-2034) ($MN)
  • Table 12 Global Automotive LiDAR Market Outlook, By Indirect ToF (2023-2034) ($MN)
  • Table 13 Global Automotive LiDAR Market Outlook, By Frequency-Modulated Continuous Wave (FMCW) LiDAR (2023-2034) ($MN)
  • Table 14 Global Automotive LiDAR Market Outlook, By Pulsed LiDAR (2023-2034) ($MN)
  • Table 15 Global Automotive LiDAR Market Outlook, By Component (2023-2034) ($MN)
  • Table 16 Global Automotive LiDAR Market Outlook, By Laser Source (2023-2034) ($MN)
  • Table 17 Global Automotive LiDAR Market Outlook, By Fiber Laser (2023-2034) ($MN)
  • Table 18 Global Automotive LiDAR Market Outlook, By Semiconductor Laser (2023-2034) ($MN)
  • Table 19 Global Automotive LiDAR Market Outlook, By Photodetector (2023-2034) ($MN)
  • Table 20 Global Automotive LiDAR Market Outlook, By Avalanche Photodiode (2023-2034) ($MN)
  • Table 21 Global Automotive LiDAR Market Outlook, By Single Photon Avalanche Diode (2023-2034) ($MN)
  • Table 22 Global Automotive LiDAR Market Outlook, By Scanner and Optics (2023-2034) ($MN)
  • Table 23 Global Automotive LiDAR Market Outlook, By Processor and Controller (2023-2034) ($MN)
  • Table 24 Global Automotive LiDAR Market Outlook, By Software and Algorithms (2023-2034) ($MN)
  • Table 25 Global Automotive LiDAR Market Outlook, By Range (2023-2034) ($MN)
  • Table 26 Global Automotive LiDAR Market Outlook, By Short-Range LiDAR (Up to 100 m) (2023-2034) ($MN)
  • Table 27 Global Automotive LiDAR Market Outlook, By Medium-Range LiDAR (100-200 m) (2023-2034) ($MN)
  • Table 28 Global Automotive LiDAR Market Outlook, By Long-Range LiDAR (Above 200 m) (2023-2034) ($MN)
  • Table 29 Global Automotive LiDAR Market Outlook, By Installation Location (2023-2034) ($MN)
  • Table 30 Global Automotive LiDAR Market Outlook, By Roof-Mounted LiDAR (2023-2034) ($MN)
  • Table 31 Global Automotive LiDAR Market Outlook, By Front Grille LiDAR (2023-2034) ($MN)
  • Table 32 Global Automotive LiDAR Market Outlook, By Bumper-Mounted LiDAR (2023-2034) ($MN)
  • Table 33 Global Automotive LiDAR Market Outlook, By Headlight Integrated LiDAR (2023-2034) ($MN)
  • Table 34 Global Automotive LiDAR Market Outlook, By Side-Mounted LiDAR (2023-2034) ($MN)
  • Table 35 Global Automotive LiDAR Market Outlook, By Rear-Mounted LiDAR (2023-2034) ($MN)
  • Table 36 Global Automotive LiDAR Market Outlook, By Application (2023-2034) ($MN)
  • Table 37 Global Automotive LiDAR Market Outlook, By Advanced Driver Assistance Systems (ADAS) (2023-2034) ($MN)
  • Table 38 Global Automotive LiDAR Market Outlook, By Autonomous Driving (2023-2034) ($MN)
  • Table 39 Global Automotive LiDAR Market Outlook, By Parking Assistance (2023-2034) ($MN)
  • Table 40 Global Automotive LiDAR Market Outlook, By Traffic Monitoring and Mapping (2023-2034) ($MN)
  • Table 41 Global Automotive LiDAR Market Outlook, By Collision Avoidance Systems (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.