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市场调查报告书
商品编码
1936180

自主移动机器人 (AMR) 市场规模、占有率及预测：依感测器类型（雷射雷达、视觉、雷达、超音波）、感测器融合演算法、SLAM 技术及应用（仓库、工厂、户外）划分 - 全球预测至 2036 年

Autonomous Mobile Robot (AMR) Market Size, Share, & Forecast by Sensor Type (Lidar, Vision, Radar, Ultrasonic), Sensor Fusion Algorithms, SLAM Technology, and Application (Warehouse, Factory, Outdoor) - Global Forecast to 2036
出版日期: | 出版商: Meticulous Research | 英文 275 Pages | 商品交期: 5-7个工作天内

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简介目录

预计 2026 年至 2036 年，全球自主移动机器人市场将以 19.3% 的复合年增长率成长，到 2036 年市场规模将达到 284.5 亿美元。本报告对五大主要地区的自主移动机器人市场进行了详细分析，重点关注当前市场趋势、市场规模、近期发展以及至 2036 年的预测。基于广泛的一手和二手研究以及对市场现状的深入分析，本报告对关键产业驱动因素、限制因素、机会和挑战进行了影响分析。该市场的成长受多种因素驱动，例如物料搬运自动化和营运效率提升的重要性、电子商务和物流配送的快速扩张、劳动力成本压力和劳动力短缺、人工智慧导航和避障技术的进步，以及先进感测器融合和SLAM演算法的开发。此外，先进的雷射雷达、视觉和雷达感测器技术的整合、云端车队管理系统的采用、对工作场所安全和协作自动化的日益重视、能够适应各种环境的户外自主移动机器人（AMR）的开发，以及製造业和物流业对自主系统的日益普及，预计也将推动市场成长。

目录

第一章：引言

第二章：研究方法

第三章：摘要整理

  • 依感测器类型划分的市场分析
  • 依感测器融合演算法划分的市场分析
  • 依SLAM技术划分的市场分析
  • 依导航方式划分的市场分析
  • 以货物容量划分的市场分析
  • 依应用划分的市场分析
  • 依最终用户产业划分的市场分析
  • 依地区划分的市场分析
  • 依竞争分析划分的市场分析

第四章 市场洞察

  • 市场驱动因素
    • 电子商务的快速成长和对物流自动化的需求
    • 持续的劳动短缺和劳动成本的上升成本
    • 工业4.0和智慧製造的采用
  • 市场限制因素
    • 高额初始投资与整合复杂性
    • 基础设施需求和营运限制
  • 市场机遇
    • 从仓库管理扩展到生产车间和户外应用（规模庞大）
    • 建构整合人工智慧和车队管理的自动化平台
  • 市场挑战
    • 安全认证与人机协作
    • 供应商标准化和互通性
  • 市场趋势
    • 向智慧协作机器人群集演进
    • 采用机器人即服务 (RaaS) 商业模式
  • 波特五力模型分析

第五章 自主移动机器人 (AMR) 的导航技术与人工智慧演算法

  • 基于雷射雷达的感知与建图
  • 基于视觉的导航与目标识别
  • 感测器融合与多模态感知
  • SLAM 演算法与定位技术
  • 路径规划与避障
  • 车队管理与多机器人协作
  • 用于自适应行为的人工智慧和机器学习
  • 市场成长及其对技术采纳的影响

第六章：竞争格局

  • 关键成长策略
    • 市场差异化因素
    • 协同效应分析：关键交易与策略联盟
  • 竞争格局概览
    • 行业领导者
    • 市场差异化因素
    • 先驱者
    • 新兴公司
  • 供应商市场定位
  • 主要公司市占率/排名

第七章 全球自主移动机器人 (AMR) 市场（依感测器类型划分）

  • 光达感测器
    • 2D 光达
    • 3D 光达
  • 视觉相机
    • RGB 相机
    • 立体相机
    • 3D 相机（飞行时间、结构光）
  • 雷达感测器
  • 超音波感测器
  • 惯性测量单元 (IMU) 和里程计感测器

第八章 全球自主移动机器人 (AMR) 市场（依感测器融合演算法划分）

  • 多模态融合
    • 基于卡尔曼滤波的融合
    • 基于粒子滤波的融合
    • 深度学习融合
  • 光达-相机融合
  • 光达-雷达融合
  • 视觉-惯性测量单元融合
  • 综合多感测器融合

第九章 全球自主移动机器人（AMR）市场（基于SLAM技术）

  • 以雷射为基础的SLAM
    • 2D SLAM
    • 3D SLAM
    • 基于图的SLAM
  • 视觉SLAM（VSLAM）
    • 单目SLAM
    • 立体SLAM
    • RGB-D SLAM
  • 混合SLAM （多感测器）
  • 基于学习的SLAM

第十章 全球自主移动机器人（AMR）市场（以导航方式划分）

  • 自然特征导航
  • 反射器导航
  • 二维码/标记导航
  • 混合导航
  • GPS导航（室外）

第十一章 全球自主移动机器人（AMR）市场（依酬载能力划分）

  • 轻型酬载（100公斤以下）
  • 中型酬载（100-500公斤）
  • 重型酬载（500-1500公斤）
  • 超重型酬载（1500公斤以上）

第十二章 全球自主移动机器人（自主移动机器人）市场依应用领域划分

  • 仓储与物流
    • 人拣货
    • 库存移动与补货
    • 分类与配送
    • 退货处理
  • 製造与组装
    • 物料运送至生产线
    • 在製品运输
    • 套件组装与零件配送
    • 成品运输
  • 户外及外送应用
    • 末端配送机器人
    • 自动场内运输车
    • 农业与农场
  • 医疗保健与饭店
  • 巡检与安防

第十三章 全球自主移动机器人（AMR）市场依最终用户划分产业

  • 电子商务与零售
  • 第三方物流 (3PL)
  • 汽车製造
  • 电子与高科技製造
  • 食品和饮料
  • 製药和医疗保健
  • 航空航太与国防
  • 其他

第十四章 自主移动机器人 (AMR) 市场（依地区划分）

  • 北美
    • 美国
    • 加拿大
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 瑞典
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 日本
    • 东南亚韩国
    • 印度
    • 澳大利亚
    • 东南亚
    • 亚太其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 拉丁美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯联合大公国
    • 南非
    • 中东和非洲其他地区

第十五章 公司简介

  • 移动工业机器人（MiR）
  • Fetch Robotics（斑马技术）
  • Locus Robotics Corporation
  • GreyOrange Inc.
  • Geek+（北京极客科技股份有限公司）
  • AutoStore
  • Vecna Robotics
  • OTTO马达（Clearpath Robotics）
  • 库卡股份公司（Swisslog）
  • ABB有限公司
  • 欧姆龙株式会社（Adept Technology）
  • 西门子股份公司
  • HoneywellIntelligrated
  • 德马泰克（凯傲集团）
  • 亚马逊机器人
  • 波士顿动力公司
  • Seegrid公司
  • IAM Robotics
  • inVia Robotics
  • Agilox Services GmbH
  • 其他

第16章附录

简介目录
Product Code: MRSE - 1041672

Autonomous Mobile Robot (AMR) Market by Sensor Type (Lidar, Vision, Radar, Ultrasonic), Sensor Fusion Algorithms, SLAM Technology, and Application (Warehouse, Factory, Outdoor) - Global Forecasts (2026-2036)

According to the research report titled, 'Autonomous Mobile Robot (AMR) Market by Sensor Type (Lidar, Vision, Radar, Ultrasonic), Sensor Fusion Algorithms, SLAM Technology, and Application (Warehouse, Factory, Outdoor) - Global Forecasts (2026-2036),' the autonomous mobile robot market is projected to reach USD 28.45 billion by 2036, at a CAGR of 19.3% during the forecast period 2026-2036. The report provides an in-depth analysis of the global autonomous mobile robot market across five major regions, emphasizing the current market trends, market sizes, recent developments, and forecasts till 2036. Following extensive secondary and primary research and an in-depth analysis of the market scenario, the report conducts the impact analysis of the key industry drivers, restraints, opportunities, and challenges. The growth of this market is driven by the critical need to automate material handling and improve operational efficiency, the rapid expansion of e-commerce and fulfillment operations, labor cost pressures and workforce shortages, the advancement of AI-powered navigation and obstacle avoidance technologies, and the development of sophisticated sensor fusion and SLAM algorithms. Moreover, the integration of advanced lidar, vision, and radar sensor technologies, the adoption of cloud-based fleet management systems, the increasing focus on workplace safety and collaborative automation, the development of outdoor-capable AMRs for diverse environments, and the growing adoption of autonomous systems across manufacturing and logistics sectors are expected to support the market's growth.

Key Players

The key players operating in the autonomous mobile robot market are Mobile Industrial Robots (MiR) (Denmark), Fetch Robotics/Zebra Technologies (U.S.), Locus Robotics Corporation (U.S.), GreyOrange Inc. (Singapore/India), Geek+ (China), AutoStore (Norway), Vecna Robotics (U.S.), OTTO Motors/Clearpath Robotics (Canada), KUKA AG/Swisslog (Germany), ABB Ltd. (Switzerland), OMRON Corporation/Adept Technology (Japan), Siemens AG (Germany), Honeywell Intelligrated (U.S.), Dematic/KION Group (Germany/U.S.), Amazon Robotics (U.S.), Boston Dynamics (U.S.), Seegrid Corporation (U.S.), IAM Robotics (U.S.), inVia Robotics (U.S.), and Agilox Services GmbH (Austria), among others.

Market Segmentation

The autonomous mobile robot market is segmented by sensor type (lidar, vision, radar, ultrasonic, and others), sensor fusion algorithms (probabilistic, deterministic, and hybrid), SLAM technology (visual SLAM, lidar-based SLAM, and hybrid SLAM), application (warehouse and fulfillment, factory and manufacturing, outdoor and delivery, and others), payload capacity (light-duty <100 kg, medium-duty 100-500 kg, heavy-duty >500 kg), and geography. The study also evaluates industry competitors and analyzes the market at the country level.

Based on Sensor Type

Based on sensor type, the lidar segment holds the largest market share in 2026. This segment's dominance is primarily attributed to superior accuracy for distance measurement and mapping, proven performance in diverse environments, and widespread adoption in commercial AMRs. The vision-based sensor segment is expected to grow at the highest CAGR during the forecast period, driven by advancements in computer vision algorithms, cost reduction in camera technology, and increasing adoption for visual navigation and obstacle recognition.

Based on Sensor Fusion Algorithms

Based on sensor fusion algorithms, the probabilistic fusion segment holds the largest market share in 2026. This segment's leadership is driven by proven effectiveness in combining multiple sensor inputs and reducing uncertainty in navigation. The hybrid fusion segment is expected to grow at the highest CAGR during the forecast period, driven by the need for robust and reliable navigation in complex and dynamic environments.

Based on SLAM Technology

Based on SLAM technology, the lidar-based SLAM segment holds the largest share of the overall market in 2026. This segment's dominance is driven by high accuracy and reliability for indoor navigation and mapping. The visual SLAM segment is expected to grow at a significant CAGR, driven by cost-effectiveness and compatibility with vision-based sensor systems. The hybrid SLAM segment is expected to witness substantial growth due to superior performance in diverse and challenging environments.

Based on Application

Based on application, the warehouse and fulfillment segment holds the largest share of the overall market in 2026. This segment's dominance is driven by extensive e-commerce growth and the need for rapid order fulfillment. The factory and manufacturing segment is expected to grow at a significant CAGR, driven by Industry 4.0 initiatives and the need for flexible automation. The outdoor and delivery segment is expected to witness the highest CAGR, driven by rapid expansion of last-mile delivery services and autonomous delivery platforms.

Geographic Analysis

An in-depth geographic analysis of the industry provides detailed qualitative and quantitative insights into the five major regions (North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa) and the coverage of major countries in each region. In 2026, North America is estimated to account for the largest share of the global autonomous mobile robot market, driven by early automation adoption, extensive warehouse and fulfillment operations, labor cost pressures, and strong presence of AMR vendors and end-users. Asia-Pacific is projected to register the highest CAGR during the forecast period, fueled by rapid manufacturing expansion, massive e-commerce growth, government automation initiatives, and cost-competitive AMR manufacturing ecosystem. The region's rapid industrial transformation is creating substantial market opportunities.

Key Questions Answered in the Report-

  • What is the current revenue generated by the autonomous mobile robot market globally?
  • At what rate is the global autonomous mobile robot demand projected to grow for the next 7-10 years?
  • What are the historical market sizes and growth rates of the global autonomous mobile robot market?
  • What are the major factors impacting the growth of this market at the regional and country levels? What are the major opportunities for existing players and new entrants in the market?
  • Which segments in terms of sensor type, sensor fusion algorithms, SLAM technology, and application are expected to create major traction for the manufacturers in this market?
  • What are the key geographical trends in this market? Which regions/countries are expected to offer significant growth opportunities for the companies operating in the global autonomous mobile robot market?
  • Who are the major players in the global autonomous mobile robot market? What are their specific product offerings in this market?
  • What are the recent strategic developments in the global autonomous mobile robot market? What are the impacts of these strategic developments on the market?

Scope of the Report:

Autonomous Mobile Robot Market Assessment -- by Sensor Type

  • Lidar
  • Vision
  • Radar
  • Ultrasonic
  • Other Sensor Types

Autonomous Mobile Robot Market Assessment -- by Sensor Fusion Algorithms

  • Probabilistic
  • Deterministic
  • Hybrid

Autonomous Mobile Robot Market Assessment -- by SLAM Technology

  • Visual SLAM
  • Lidar-Based SLAM
  • Hybrid SLAM

Autonomous Mobile Robot Market Assessment -- by Application

  • Warehouse and Fulfillment
  • Factory and Manufacturing
  • Outdoor and Delivery
  • Other Applications

Autonomous Mobile Robot Market Assessment -- by Payload Capacity

  • Light-Duty (<100 kg)
  • Medium-Duty (100-500 kg)
  • Heavy-Duty (>500 kg)

Autonomous Mobile Robot Market Assessment -- by Geography

  • North America
  • U.S.
  • Canada
  • Europe
  • Germany
  • U.K.
  • France
  • Spain
  • Italy
  • Rest of Europe
  • Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia & New Zealand
  • Rest of Asia-Pacific
  • Latin America
  • Mexico
  • Brazil
  • Argentina
  • Rest of Latin America
  • Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Rest of Middle East & Africa

TABLE OF CONTENTS

1. Introduction

  • 1.1. Market Definition
  • 1.2. Market Ecosystem
  • 1.3. Currency and Limitations
    • 1.3.1. Currency
    • 1.3.2. Limitations
  • 1.4. Key Stakeholders

2. Research Methodology

  • 2.1. Research Approach
  • 2.2. Data Collection & Validation
    • 2.2.1. Secondary Research
    • 2.2.2. Primary Research
  • 2.3. Market Assessment
    • 2.3.1. Market Size Estimation
    • 2.3.2. Bottom-Up Approach
    • 2.3.3. Top-Down Approach
    • 2.3.4. Growth Forecast
  • 2.4. Assumptions for the Study

3. Executive Summary

  • 3.1. Overview
  • 3.2. Market Analysis, by Sensor Type
  • 3.3. Market Analysis, by Sensor Fusion Algorithm
  • 3.4. Market Analysis, by SLAM Technology
  • 3.5. Market Analysis, by Navigation Method
  • 3.6. Market Analysis, by Payload Capacity
  • 3.7. Market Analysis, by Application
  • 3.8. Market Analysis, by End-User Industry
  • 3.9. Market Analysis, by Geography
  • 3.10. Competitive Analysis

4. Market Insights

  • 4.1. Introduction
  • 4.2. Global Autonomous Mobile Robot (AMR) Market: Impact Analysis of Market Drivers (2026-2036)
    • 4.2.1. Explosive E-Commerce Growth and Fulfillment Automation Demands
    • 4.2.2. Persistent Labor Shortages and Rising Labor Costs
    • 4.2.3. Industry 4.0 and Smart Manufacturing Adoption
  • 4.3. Global Autonomous Mobile Robot (AMR) Market: Impact Analysis of Market Restraints (2026-2036)
    • 4.3.1. High Initial Investment and Integration Complexity
    • 4.3.2. Infrastructure Requirements and Operational Constraints
  • 4.4. Global Autonomous Mobile Robot (AMR) Market: Impact Analysis of Market Opportunities (2026-2036)
    • 4.4.1. Expansion Beyond Warehousing into Manufacturing and Outdoor Applications
    • 4.4.2. Integration with AI and Fleet Management Creating Automation Platforms
  • 4.5. Global Autonomous Mobile Robot (AMR) Market: Impact Analysis of Market Challenges (2026-2036)
    • 4.5.1. Safety Certification and Human-Robot Collaboration
    • 4.5.2. Standardization and Interoperability Across Vendors
  • 4.6. Global Autonomous Mobile Robot (AMR) Market: Impact Analysis of Market Trends (2026-2036)
    • 4.6.1. Evolution Toward Intelligent Collaborative Robot Fleets
    • 4.6.2. Robot-as-a-Service (RaaS) Business Model Adoption
  • 4.7. Porter's Five Forces Analysis
    • 4.7.1. Threat of New Entrants
    • 4.7.2. Bargaining Power of Suppliers
    • 4.7.3. Bargaining Power of Buyers
    • 4.7.4. Threat of Substitute Products
    • 4.7.5. Competitive Rivalry

5. Navigation Technologies and AI Algorithms for AMRs

  • 5.1. Introduction to AMR Navigation Technologies
  • 5.2. Lidar-Based Perception and Mapping
  • 5.3. Vision-Based Navigation and Object Recognition
  • 5.4. Sensor Fusion and Multi-Modal Perception
  • 5.5. SLAM Algorithms and Localization Techniques
  • 5.6. Path Planning and Obstacle Avoidance
  • 5.7. Fleet Management and Multi-Robot Coordination
  • 5.8. AI and Machine Learning for Adaptive Behaviors
  • 5.9. Impact on Market Growth and Technology Adoption

6. Competitive Landscape

  • 6.1. Introduction
  • 6.2. Key Growth Strategies
    • 6.2.1. Market Differentiators
    • 6.2.2. Synergy Analysis: Major Deals & Strategic Alliances
  • 6.3. Competitive Dashboard
    • 6.3.1. Industry Leaders
    • 6.3.2. Market Differentiators
    • 6.3.3. Vanguards
    • 6.3.4. Emerging Companies
  • 6.4. Vendor Market Positioning
  • 6.5. Market Share/Ranking by Key Players

7. Global Autonomous Mobile Robot (AMR) Market, by Sensor Type

  • 7.1. Introduction
  • 7.2. Lidar Sensors
    • 7.2.1. 2D Lidar
    • 7.2.2. 3D Lidar
  • 7.3. Vision Cameras
    • 7.3.1. RGB Cameras
    • 7.3.2. Stereo Cameras
    • 7.3.3. 3D Cameras (ToF, Structured Light)
  • 7.4. Radar Sensors
  • 7.5. Ultrasonic Sensors
  • 7.6. IMU and Odometry Sensors

8. Global Autonomous Mobile Robot (AMR) Market, by Sensor Fusion Algorithm

  • 8.1. Introduction
  • 8.2. Multi-Modal Fusion
    • 8.2.1. Kalman Filter-Based Fusion
    • 8.2.2. Particle Filter-Based Fusion
    • 8.2.3. Deep Learning Fusion
  • 8.3. Lidar-Camera Fusion
  • 8.4. Lidar-Radar Fusion
  • 8.5. Vision-IMU Fusion
  • 8.6. Comprehensive Multi-Sensor Fusion

9. Global Autonomous Mobile Robot (AMR) Market, by SLAM Technology

  • 9.1. Introduction
  • 9.2. Laser-Based SLAM
    • 9.2.1. 2D SLAM
    • 9.2.2. 3D SLAM
    • 9.2.3. Graph-Based SLAM
  • 9.3. Visual SLAM (VSLAM)
    • 9.3.1. Monocular SLAM
    • 9.3.2. Stereo SLAM
    • 9.3.3. RGB-D SLAM
  • 9.4. Hybrid SLAM (Multi-Sensor)
  • 9.5. Learning-Based SLAM

10. Global Autonomous Mobile Robot (AMR) Market, by Navigation Method

  • 10.1. Introduction
  • 10.2. Natural Feature Navigation
  • 10.3. Reflector-Based Navigation
  • 10.4. QR Code/Marker Navigation
  • 10.5. Hybrid Navigation
  • 10.6. GPS-Based Navigation (Outdoor)

11. Global Autonomous Mobile Robot (AMR) Market, by Payload Capacity

  • 11.1. Introduction
  • 11.2. Light Payload (Up to 100 kg)
  • 11.3. Medium Payload (100-500 kg)
  • 11.4. Heavy Payload (500-1500 kg)
  • 11.5. Extra Heavy Payload (Above 1500 kg)

12. Global Autonomous Mobile Robot (AMR) Market, by Application

  • 12.1. Introduction
  • 12.2. Warehouse and Logistics
    • 12.2.1. Goods-to-Person Picking
    • 12.2.2. Inventory Movement and Replenishment
    • 12.2.3. Sorting and Distribution
    • 12.2.4. Returns Processing
  • 12.3. Manufacturing and Assembly
    • 12.3.1. Material Delivery to Production Lines
    • 12.3.2. Work-in-Process Transport
    • 12.3.3. Kitting and Component Delivery
    • 12.3.4. Finished Goods Transport
  • 12.4. Outdoor and Delivery Applications
    • 12.4.1. Last-Mile Delivery Robots
    • 12.4.2. Autonomous Yard Trucks
    • 12.4.3. Agriculture and Farming
  • 12.5. Healthcare and Hospitality
  • 12.6. Inspection and Security

13. Global Autonomous Mobile Robot (AMR) Market, by End-User Industry

  • 13.1. Introduction
  • 13.2. E-Commerce and Retail
  • 13.3. Third-Party Logistics (3PL)
  • 13.4. Automotive Manufacturing
  • 13.5. Electronics and High-Tech Manufacturing
  • 13.6. Food and Beverage
  • 13.7. Pharmaceuticals and Healthcare
  • 13.8. Aerospace and Defense
  • 13.9. Others

14. Autonomous Mobile Robot (AMR) Market, by Geography

  • 14.1. Introduction
  • 14.2. North America
    • 14.2.1. U.S.
    • 14.2.2. Canada
  • 14.3. Europe
    • 14.3.1. Germany
    • 14.3.2. U.K.
    • 14.3.3. France
    • 14.3.4. Italy
    • 14.3.5. Spain
    • 14.3.6. Sweden
    • 14.3.7. Rest of Europe
  • 14.4. Asia-Pacific
    • 14.4.1. China
    • 14.4.2. Japan
    • 14.4.3. South Korea
    • 14.4.4. India
    • 14.4.5. Australia
    • 14.4.6. Southeast Asia
    • 14.4.7. Rest of Asia-Pacific
  • 14.5. Latin America
    • 14.5.1. Brazil
    • 14.5.2. Mexico
    • 14.5.3. Argentina
    • 14.5.4. Rest of Latin America
  • 14.6. Middle East & Africa
    • 14.6.1. Saudi Arabia
    • 14.6.2. UAE
    • 14.6.3. South Africa
    • 14.6.4. Rest of Middle East & Africa

15. Company Profiles

  • 15.1. Mobile Industrial Robots (MiR)
  • 15.2. Fetch Robotics (Zebra Technologies)
  • 15.3. Locus Robotics Corporation
  • 15.4. GreyOrange Inc.
  • 15.5. Geek+ (Beijing Geekplus Technology Co. Ltd.)
  • 15.6. AutoStore
  • 15.7. Vecna Robotics
  • 15.8. OTTO Motors (Clearpath Robotics)
  • 15.9. KUKA AG (Swisslog)
  • 15.10. ABB Ltd.
  • 15.11. OMRON Corporation (Adept Technology)
  • 15.12. Siemens AG
  • 15.13. Honeywell Intelligrated
  • 15.14. Dematic (KION Group)
  • 15.15. Amazon Robotics
  • 15.16. Boston Dynamics
  • 15.17. Seegrid Corporation
  • 15.18. IAM Robotics
  • 15.19. inVia Robotics
  • 15.20. Agilox Services GmbH
  • 15.21. Others

16. Appendix

  • 16.1. Questionnaire
  • 16.2. Available Customization