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1800289

無人駕駛汽車的 LiDAR 市場:未來預測(2025-2030 年)

LiDAR for Robotic Cars Market - Forecasts fom 2025 to 2030

出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

預計無人駕駛汽車雷射雷達市場規模將從 2025 年的 24.16 億美元成長到 2030 年的 66.9 億美元,複合年成長率為 22.59%。

由於自動駕駛汽車需求的不斷成長以及感測器技術的進步,自動駕駛汽車的雷射雷達市場正在經歷顯著成長。雷射雷達系統是即時3D環境測繪的關鍵,能夠實現精確的物體偵測、追蹤、自由空間偵測、道路剖面繪製和定位,是自動駕駛的關鍵。北美憑藉早期應用和強大的技術生態系統處於領先地位,但仍面臨諸多挑戰,包括高成本以及探測範圍和解析度的技術限制。然而,持續的研發投入,旨在開發經濟高效、結構緊湊、性能可靠的感測器,正在推動市場擴張。

市場促進因素

一個關鍵促進因素是自動駕駛汽車在汽車領域,尤其是在商業應用中的日益普及。LiDAR能夠對車輛周圍環境進行精準的即時3D數位化,進而提升安全性、導航能力和駕駛需求。消費者和產業對更安全、更有效率交通的需求推動了自動駕駛技術的發展,這進一步加速了市場的成長。此外,不斷增加的研發投入正致力於開發更小、更可靠、活動部件更少的LiDAR感測器,以解決成本和性能障礙。這些技術創新對於擴大生產規模並將LiDAR整合到從乘用車到商用車的各種車輛中至關重要。

目錄

第1章執行摘要

第2章市場概述

  • 市場概覽
  • 市場定義
  • 分析範圍
  • 細分市場

第3章 經營狀況

  • 市場促進因素
  • 市場限制
  • 市場機會
  • 波特五力分析
  • 產業價值鏈分析
  • 政策法規
  • 策略建議

第4章 技術展望

第5章無人駕駛汽車LiDAR市場(按LiDAR類型)

  • 介紹
  • MEMS 騎手
  • 光學相位陣列雷達
  • 閃電騎士
  • 其他

第6章無人駕駛汽車雷射雷達市場應用

  • 介紹
  • 自動駕駛(L4至L5)
  • ADAS(進階駕駛輔助系統)(ADAS L2-L3)
  • 機器人計程車
  • 送貨機器人

第7章無人駕駛汽車LiDAR市場(按地區)

  • 介紹
  • 北美洲
    • 按LiDAR類型
    • 按用途
    • 按國家
      • 美國
      • 加拿大
      • 墨西哥
  • 南美洲
    • 按LiDAR類型
    • 按用途
    • 按國家
      • 巴西
      • 阿根廷
      • 其他
  • 歐洲
    • 按LiDAR類型
    • 按用途
    • 按國家
      • 英國
      • 德國
      • 法國
      • 西班牙
      • 其他
  • 中東和非洲
    • 按LiDAR類型
    • 按用途
    • 按國家
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 其他
  • 亞太地區
    • 按LiDAR類型
    • 按用途
    • 按國家
      • 中國
      • 日本
      • 印度
      • 韓國
      • 台灣
      • 其他

第8章競爭格局及分析

  • 主要企業和策略分析
  • 市場佔有率分析
  • 企業合併、協議、商業合作
  • 競爭對手儀表板

第9章:公司簡介

  • Luminar Technologies, Inc.
  • Innoviz Technologies Ltd.
  • Continental AG
  • Valeo SA
  • LeddarTech Inc.
  • Quanergy Systems, Inc.
  • XenomatiX NV
  • Microvision Inc.
  • Aeva Inc.

第10章 附錄

  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益
  • 分析方法
  • 簡稱
簡介目錄
Product Code: KSI061612996

The LiDAR For Robotic Cars Market is expected to grow from USD 2.416 billion in 2025 to USD 6.690 billion in 2030, at a CAGR of 22.59%.

The LiDAR market for robotic vehicles is experiencing significant growth, driven by the rising demand for autonomous cars and advancements in sensor technology. LiDAR systems, critical for real-time 3D environmental mapping, enable precise object detection, tracking, free space detection, road profiling, and localization, making them indispensable for autonomous driving. While North America leads due to its early adoption and robust technological ecosystem, challenges such as high costs and technical limitations in range and resolution persist. However, ongoing research and development (R&D) investments aimed at creating cost-effective, compact, and reliable sensors are fostering market expansion.

Market Drivers

The primary driver is the increasing adoption of autonomous vehicles in the automotive sector, particularly for commercial applications. LiDAR's ability to provide accurate, real-time 3D digitization of a vehicle's surroundings enhances safety and navigation, boosting its demand. The push for autonomous driving technologies, supported by consumer and industry demand for safer and more efficient transportation, further accelerates market growth. Additionally, growing R&D investments are focused on developing smaller, more reliable LiDAR sensors with fewer moving parts, addressing cost and performance barriers. These innovations are critical for scaling production and integrating LiDAR into a broader range of vehicles, from passenger cars to commercial fleets.

Market Segmentation

The market is segmented by LiDAR type and geography. By type, it includes MEMS LiDAR, optical-phased array LiDAR, and flash LiDAR, each offering distinct advantages in terms of cost, size, and performance. MEMS LiDAR is valued for its compact design, while flash LiDAR excels in high-resolution imaging, and optical-phased array LiDAR offers flexibility in beam steering. Geographically, the market spans North America, South America, Europe, the Middle East and Africa, and Asia Pacific. North America holds a significant share, driven by its advanced automotive industry, early adoption of autonomous vehicles, and supportive infrastructure for technology development. Key countries within these regions exhibit varying growth patterns based on technological readiness and regulatory frameworks.

Industry Analysis

Porter's Five Forces model provides a comprehensive analysis of competitive dynamics, evaluating factors such as supplier power, buyer influence, and market rivalry. An industry value chain analysis identifies key players in sensor design, manufacturing, and integration, highlighting their contributions to the autonomous vehicle ecosystem. The regulatory framework, including safety and performance standards, is also examined, offering stakeholders insights into factors shaping market dynamics. These regulations are critical for ensuring LiDAR reliability and consumer trust in autonomous systems.

Competitive Landscape

The competitive landscape is mapped through a vendor matrix, categorizing key players into leaders, followers, challengers, and niche providers based on their strategies and market positioning. Companies are investing in R&D to enhance sensor performance and reduce costs, aiming to capture market share in the rapidly evolving autonomous vehicle sector.

Challenges

High costs and technical limitations, such as restricted range and resolution, remain significant barriers. These challenges necessitate continued innovation to improve sensor affordability and performance for widespread adoption.

The LiDAR market for robotic cars is poised for robust growth, driven by the rise of autonomous vehicles, technological advancements, and strong regional demand in North America. While cost and technical challenges persist, R&D investments and regulatory support are paving the way for more accessible and efficient LiDAR solutions. With detailed segmentation and competitive analysis, the market offers significant opportunities for stakeholders to capitalize on the growing autonomous driving ecosystem.

Key Benefits of this Report:

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data from 2020 to 2024 & forecast data from 2025 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others.

Different segments covered under the LiDAR for robotic cars market report are as below:

By LiDAR Type

  • MEMS LiDAR
  • Optical-Phased Array LiDAR
  • Flash LiDAR
  • Others

By Application

  • Autonomous Driving (L4-L5)
  • Advanced Driver Assistance Systems (ADAS - L2-L3)
  • Robotaxis
  • Delivery Robots

By Geography

  • North America
  • South America
  • Europe
  • Middle East and Africa
  • Asia Pacific

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

  • 2.1. Market Overview
  • 2.2. Market Definition
  • 2.3. Scope of the Study
  • 2.4. Market Segmentation

3. BUSINESS LANDSCAPE

  • 3.1. Market Drivers
  • 3.2. Market Restraints
  • 3.3. Market Opportunities
  • 3.4. Porter's Five Forces Analysis
  • 3.5. Industry Value Chain Analysis
  • 3.6. Policies and Regulations
  • 3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. LIDAR FOR ROBOTIC CARS MARKET BY LIDAR TYPE

  • 5.1. Introduction
  • 5.2. MEMS LiDAR
  • 5.3. Optical-Phased Array LiDAR
  • 5.4. Flash LiDAR
  • 5.5. Others

6. LIDAR FOR ROBOTIC CARS MARKET BY APPLICATION

  • 6.1. Introduction
  • 6.2. Autonomous Driving (L4-L5)
  • 6.3. Advanced Driver Assistance Systems (ADAS - L2-L3)
  • 6.4. Robotaxis
  • 6.5. Delivery Robots

7. LIDAR FOR ROBOTIC CARS MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. By LiDAR Type
    • 7.2.2. By Application
    • 7.2.3. By Country
      • 7.2.3.1. USA
      • 7.2.3.2. Canada
      • 7.2.3.3. Mexico
  • 7.3. South America
    • 7.3.1. By LiDAR Type
    • 7.3.2. By Application
    • 7.3.3. By Country
      • 7.3.3.1. Brazil
      • 7.3.3.2. Argentina
      • 7.3.3.3. Others
  • 7.4. Europe
    • 7.4.1. By LiDAR Type
    • 7.4.2. By Application
    • 7.4.3. By Country
      • 7.4.3.1. United Kingdom
      • 7.4.3.2. Germany
      • 7.4.3.3. France
      • 7.4.3.4. Spain
      • 7.4.3.5. Others
  • 7.5. Middle East and Africa
    • 7.5.1. By LiDAR Type
    • 7.5.2. By Application
    • 7.5.3. By Country
      • 7.5.3.1. Saudi Arabia
      • 7.5.3.2. UAE
      • 7.5.3.3. Others
  • 7.6. Asia Pacific
    • 7.6.1. By LiDAR Type
    • 7.6.2. By Application
    • 7.6.3. By Country
      • 7.6.3.1. China
      • 7.6.3.2. Japan
      • 7.6.3.3. India
      • 7.6.3.4. South Korea
      • 7.6.3.5. Taiwan
      • 7.6.3.6. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. Luminar Technologies, Inc.
  • 9.2. Innoviz Technologies Ltd.
  • 9.3. Continental AG
  • 9.4. Valeo SA
  • 9.5. LeddarTech Inc.
  • 9.6. Quanergy Systems, Inc.
  • 9.7. XenomatiX N.V.
  • 9.8. Microvision Inc.
  • 9.9. Aeva Inc.

10. APPENDIX

  • 10.1. Currency
  • 10.2. Assumptions
  • 10.3. Base and Forecast Years Timeline
  • 10.4. Key Benefits for the Stakeholders
  • 10.5. Research Methodology
  • 10.6. Abbreviations