ロボットカー用LiDAR市場：将来予測 (2025年～2030年)

ロボットカー用LiDAR市場は、CAGR 22.59%で、2025年の24億1,600万米ドルから2030年には66億9,000万米ドルに成長すると予測されます。

ロボット車両向けLiDAR市場は、自律走行車の需要増大とセンサー技術の進歩により、大きな成長を遂げています。リアルタイムの3D環境マッピングに不可欠なLiDARシステムは、正確な物体検出、追跡、自由空間検出、道路プロファイリング、位置特定を可能にし、自律走行に不可欠なものとなっています。北米は早期の導入と強固な技術エコシステムによりリードしていますが、高コストや範囲と解像度における技術的限界などの課題は依然として残っています。しかし、費用対効果が高く、コンパクトで信頼性の高いセンサーの開発を目指した研究開発（R&D）投資の継続が、市場の拡大を後押ししています。

市場促進要因

主な促進要因は、自動車分野、特に商業用途における自律走行車の採用が増加していることです。LiDARの正確でリアルタイムの車両周囲の3Dデジタル化能力は、安全性とナビゲーションを強化し、需要を後押ししています。より安全で効率的な輸送を求める消費者や業界の需要に支えられた自律走行技術の推進が、市場の成長をさらに加速させています。さらに、研究開発投資の拡大により、可動部の少ない小型で信頼性の高いLiDARセンサーの開発に重点が置かれ、コストと性能の障壁に対処しています。これらの技術革新は、生産規模を拡大し、乗用車から商用車まで幅広い車両にLiDARを組み込むために不可欠です。

目次

第1章 エグゼクティブサマリー

第2章 市場スナップショット

• 市場概要
• 市場の定義
• 分析範囲
• 市場区分

第3章 ビジネス情勢

• 市場促進要因
• 市場抑制要因
• 市場機会
• ポーターのファイブフォース分析
• 業界バリューチェーン分析
• ポリシーと規制
• 戦略的提言

第4章 技術展望

第5章 ロボットカー用LiDAR市場：LIDARの種類別

• イントロダクション
• MEMSライダー
• 光フェーズドアレイLiDAR
• フラッシュライダー
• その他

第6章 ロボットカー用LiDAR市場：用途別

• イントロダクション
• 自動運転（L4～L5）
• ADAS（先進運転支援システム）（ADAS L2～L3）
• ロボタクシー
• 配達ロボット

第7章 ロボットカー用LiDAR市場：地域別

• イントロダクション
• 北米
  • LiDARの種類別
  • 用途別
  • 国別
    • 米国
    • カナダ
    • メキシコ
• 南米
  • LiDARの種類別
  • 用途別
  • 国別
    • ブラジル
    • アルゼンチン
    • その他
• 欧州
  • LiDARの種類別
  • 用途別
  • 国別
    • 英国
    • ドイツ
    • フランス
    • スペイン
    • その他
• 中東・アフリカ
  • LiDARの種類別
  • 用途別
  • 国別
    • サウジアラビア
    • アラブ首長国連邦
    • その他
• アジア太平洋
  • LiDARの種類別
  • 用途別
  • 国別
    • 中国
    • 日本
    • インド
    • 韓国
    • 台湾
    • その他

第8章 競合環境と分析

• 主要企業と戦略分析
• 市場シェア分析
• 企業合併・買収 (M&A)、合意、事業協力
• 競合ダッシュボード

第9章 企業プロファイル

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

第10章 付録

• 通貨
• 前提条件
• 基準年と予測年のタイムライン
• 利害関係者にとっての主なメリット
• 分析手法
• 略語

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