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市场调查报告书
商品编码
1800289

无人驾驶汽车的 LiDAR 市场：未来预测（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个工作天内

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简介目录

预计无人驾驶汽车雷射雷达市场规模将从 2025 年的 24.16 亿美元成长到 2030 年的 66.9 亿美元，复合年增长率为 22.59%。

由于自动驾驶汽车需求的不断增长以及感测器技术的进步，自动驾驶汽车的雷射雷达市场正在经历显着增长。雷射雷达系统是即时3D环境测绘的关键，能够实现精确的物体侦测、追踪、自由空间侦测、道路剖面绘製和定位，是自动驾驶的关键。北美凭藉早期应用和强大的技术生态系统处于领先地位，但仍面临诸多挑战，包括高成本以及探测范围和分辨率的技术限制。然而，持续的研发投入，旨在开发经济高效、结构紧凑、性能可靠的感测器，正在推动市场扩张。

市场驱动因素

一个关键驱动因素是自动驾驶汽车在汽车领域，尤其是在商业应用中的日益普及。光达能够对车辆周围环境进行精准的即时3D数位化，进而提升安全性、导航能力和驾驶需求。消费者和产业对更安全、更有效率交通的需求推动了自动驾驶技术的发展，这进一步加速了市场的成长。此外，不断增加的研发投入正致力于开发更小、更可靠、活动部件更少的光达感测器，以解决成本和性能障碍。这些技术创新对于扩大生产规模并将光达整合到从乘用车到商用车的各种车辆中至关重要。

目录

第一章执行摘要

第二章市场概述

  • 市场概览
  • 市场定义
  • 分析范围
  • 细分市场

第三章 经营状况

  • 市场驱动因素
  • 市场限制
  • 市场机会
  • 波特五力分析
  • 产业价值链分析
  • 政策法规
  • 策略建议

第四章 技术展望

第五章无人驾驶汽车光达市场（按光达类型）

  • 介绍
  • MEMS 骑手
  • 光学相位阵列雷达
  • 闪电骑士
  • 其他的

第六章无人驾驶汽车雷射雷达市场应用

  • 介绍
  • 自动驾驶（L4至L5）
  • ADAS（进阶驾驶辅助系统）（ADAS L2-L3）
  • 机器人计程车
  • 送货机器人

第七章无人驾驶汽车光达市场（按地区）

  • 介绍
  • 北美洲
    • 按光达类型
    • 按用途
    • 按国家
      • 美国
      • 加拿大
      • 墨西哥
  • 南美洲
    • 按光达类型
    • 按用途
    • 按国家
      • 巴西
      • 阿根廷
      • 其他的
  • 欧洲
    • 按光达类型
    • 按用途
    • 按国家
      • 英国
      • 德国
      • 法国
      • 西班牙
      • 其他的
  • 中东和非洲
    • 按光达类型
    • 按用途
    • 按国家
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 其他的
  • 亚太地区
    • 按光达类型
    • 按用途
    • 按国家
      • 中国
      • 日本
      • 印度
      • 韩国
      • 台湾
      • 其他的

第八章竞争格局及分析

  • 主要企业和策略分析
  • 市场占有率分析
  • 企业合併、协议、商业合作
  • 竞争对手仪表板

第九章：公司简介

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

第十章 附录

  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益
  • 分析方法
  • 简称
简介目录
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