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市場調查報告書
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1876683

自主移動機器人市場預測至2032年：按組件、類型、導航技術、負載容量、應用、最終用戶和地區分類的全球分析

Autonomous Mobile Robot Market Forecasts to 2032 - Global Analysis By Component, Type, Navigation Technology, Payload Capacity, Application, End User, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的一項研究，全球自主移動機器人 (AMR) 市場預計到 2025 年將達到 30 億美元，到 2032 年將達到 102 億美元。

預計市場在預測期內將以18.7%的複合年成長率成長。自主移動機器人（AMR）是一種具備自主導航能力的智慧機器人，廣泛應用於倉庫、工廠和醫療機構等場所，用於物料搬運、揀選和檢測。與固定式輸送機和自動導引車（AGV）不同，AMR能夠繪製環境地圖、避開障礙物並適應不斷變化的工作流程，從而實現快速重新配置並提高效率。隨著電子商務需求的成長、勞動力短缺以及對靈活物流的需求，AMR的應用正在不斷擴大。擴充性和投資回報率（ROI）取決於吞吐量的提升、部署的便利性以及生態系統的支援。

根據國際機器人聯合會 (IFR) 發布的《2023 年世界機器人報告》，2022 年全球商用服務機器人的出貨量達到創紀錄的 158,000 台。

勞動力短缺日益嚴重，工資成本不斷上漲

推動自主移動機器人（AMR）普及的主要因素是持續且日益嚴重的勞動力短缺，尤其是在倉儲業和製造業領域，以及不斷上漲的薪資成本。企業越來越依賴AMR作為維持業務連續性和提高成本可預測性的策略解決方案。這種自動化技術能夠持續且有效率地完成物料搬運和揀選等任務，同時降低勞動力波動帶來的風險，從而在人手不足的市場環境下直接提高生產力並實現長期營運成本的穩定。

AMR實施和系統整合的初始投資成本很高

自主移動機器人（AMR）廣泛應用的一大障礙是其部署所需的高額初始資本投入，包括機器人本身、高級軟體整合以及必要的基礎設施。對於許多中小企業而言，儘管長期來看可能獲得回報，但這筆初始成本仍然是一大阻礙。這項財務門檻要求企業提供令人信服的商業論證來證明投資的合理性，從而延緩了決策流程，並將市場滲透限制在規模更大、資金更雄厚的公司。

開發具備先進人工智慧能力的自主移動機器人（AMR）來處理複雜任務

視覺系統、情境察覺和決策演算法的進步將使機器人能夠超越簡單的物料搬運任務，執行日益複雜且非重複性的任務。這種發展將拓展自主移動機器人（AMR）的價值提案，使其能夠在諸如最終組裝和品質檢測等動態環境中實現新的應用，從而為尚未開發的工業領域的製造商開闢新的、利潤豐厚的收入來源。

互聯自主移動機器人系統面臨的網路安全風險

隨著自主移動機器人（AMR）透過工業物聯網（IIoT）實現更緊密的互聯，網路安全漏洞帶來的威脅也日益加劇。一旦發生安全漏洞，惡意控制機器人可能導致運行中斷、資料竊取，甚至引發安全事故。應對此風險需要持續投資於強大的安全通訊協定和加密技術，但這會增加系統複雜性和成本。此外，一次重大安全事件就可能削弱信任，減緩市場成長，使網路安全成為整個產業面臨的重大挑戰。

新冠疫情的影響：

新冠疫情極大地推動了自主移動機器人（AMR）市場的發展，暴露了依賴人工的供應鏈中存在的許多脆弱性，並造成了嚴重的營運中斷。強制性的社交隔離和封鎖措施促使企業加速向自動化轉型，以確保營運韌性並減少對人力的依賴。這導致對AMR的需求激增，尤其是在電商履約領域，因為企業優先考慮自動化，以建立更具韌性、更能抵禦疫情影響的未來營運模式。

預計在預測期內，貨物搬運揀貨機器人細分市場將佔據最大的市場佔有率。

在電子商務的爆炸性成長和倉庫最佳化迫切需求的推動下，預計在預測期內，揀貨機器人細分市場將佔據最大的市場佔有率。貨到人揀選顯著減少了工人的行走時間，並提高了揀選的準確性和速度，而這些都是履約中心的關鍵指標。透過將庫存直接送到工人手中，這些自主移動機器人（AMR）簡化了倉庫中最耗費人力的流程，並直接應對了勞動力短缺和消費者對更快訂單交付速度日益成長的期望所帶來的挑戰，使其成為現代物流的基礎性投資。

預計混合和多感測器融合領域在預測期內將呈現最高的複合年成長率。

預計在預測期內，混合和多感測器融合領域將實現最高的成長率。這是因為混合系統結合了雷射雷達、視覺系統（在某些情況下還包括聲吶）等技術，能夠使自主移動機器人（AMR）更加穩健可靠。這種多感測器方法提供冗餘數據，從而在動態和人口密集的環境中實現更佳的導航，並能夠執行更複雜的任務，例如精確機動。隨著應用場景從簡單的引導路徑發展到更高級的路徑導航，對這些感知功能豐富的先進系統的需求正在加速成長，從而推動該領域的顯著成長。

佔比最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於主要自主移動機器人（AMR）供應商的強大影響力、高昂的人事費用，以及成熟製造業和大規模電子商務行業對自動化技術的早期積極應用。此外，供應鏈基礎設施現代化方面的大量投資，以及擁有自動化倉庫的領先技術公司的存在，共同造就了該地區集中的需求中心。該地區強勁的經濟基本面使其能夠吸收高額的初始投資，進一步鞏固了其在全球AMR市場收入領先地位。

年複合成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於中國、印度和韓國等國製造業的持續擴張和物流現代化進程。該地區各國政府正積極推動工業4.0獎勵，並提供舉措以促進自動化發展。此外，人事費用的上升以及為維持全球出口競爭力而提高生產效率的需求，也是推動自主移動機器人（AMR）技術加速應用的關鍵因素，為該地區的發展創造了有利條件。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 原始研究資料
    • 二手研究資料
    • 先決條件

第3章 市場趨勢分析

  • 介紹
  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的影響

第4章 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
  • 競爭對手之間的競爭

5. 全球自主移動機器人市場（按組件分類）

  • 介紹
  • 硬體
    • 感知系統
      • LiDAR（光探測和測距）
      • 視覺系統/攝影機
      • 接近感測器
      • 其他感測器
    • 處理和控制單元
      • 微控制器和微處理器（MCU/MPU）
      • 圖形處理單元 (GPU)/人工智慧晶片
      • 工業用電腦/嵌入式系統
    • 運動和機械系統
      • 致動器和電機
      • 底盤和框架
      • 輪子、履帶、全向輪
      • 煞車和變速箱
    • 電力和電氣系統
      • 電池
      • 電池管理系統（BMS）
      • 充電站和基礎設施
    • 其他硬體
  • 軟體
    • 導航和地圖軟體
      • SLAM（即時定位與構建圖）演算法
      • 路線規劃與最佳化
      • 避障和碰撞檢測
    • 車隊管理系統（FMS）
    • 人工智慧和機器學習模組
    • 作業系統（OS）
  • 服務
    • 實施和整合服務
    • 維護、修理和營運 (MRO)
    • 軟體升級與支援（SaaS 模式）
    • 諮詢和培訓
    • RaaS（機器人即服務）服務

6. 全球自主移動機器人市場（按類型分類）

  • 介紹
  • 一種可以揀選物品和人的機器人
  • 自主堆高機/無人駕駛堆高機
  • 自主庫存機器人
  • 其他類型

7. 依導航技術分類的全球自主移動機器人市場

  • 介紹
  • LiDAR猛擊
  • 基於視覺（2D/3D 相機）
  • 磁感應/感應/QR碼感應
  • 混合多感測器融合

8. 全球自主移動機器人市場（依負載容量）

  • 介紹
  • 輕型（100公斤以下）
  • 中等體重（101公斤-500公斤）
  • 體重（超過500公斤）

9. 全球自主移動機器人市場（按應用分類）

  • 介紹
  • 分類和碼垛
  • 物料輸送和運輸
  • 組裝和套件
  • 檢查和監測
  • 安全與監控
  • 最後一公里配送
  • 其他用途

第10章 全球自主移動機器人市場（以最終用戶分類）

  • 介紹
  • 倉庫/物流/配送中心
  • 製造業
  • 醫療保健和製藥
  • 零售與電子商務
  • 國防與安全
  • 飯店業
  • 其他最終用戶

第11章 全球自主移動機器人市場（按地區分類）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與併購
  • 新產品上市
  • 業務拓展
  • 其他關鍵策略

第13章：企業概況

  • Mobile Industrial Robots A/S
  • Locus Robotics, Inc.
  • Geek+Technology Co., Ltd.
  • OTTO Motors
  • Seegrid Corporation
  • GreyOrange Pte. Ltd.
  • Hai Robotics Co., Ltd.
  • Amazon Robotics, Inc.
  • Swisslog Holding AG
  • Dematic GmbH
  • Zebra Technologies Corporation
  • KUKA Aktiengesellschaft
  • ABB Ltd.
  • OMRON Corporation
  • Boston Dynamics, Inc.
  • Clearpath Robotics, Inc.
  • FANUC Corporation
  • Yaskawa Electric Corporation
  • IAM Robotics, Inc.
  • inVia Robotics, Inc.
Product Code: SMRC32443

According to Stratistics MRC, the Global Autonomous Mobile Robot (AMR) Market is accounted for $3.0 billion in 2025 and is expected to reach $10.2 billion by 2032, growing at a CAGR of 18.7% during the forecast period. AMRs are intelligent, navigation-capable robots used for material transport, order picking, and inspection in warehouses, factories, and healthcare. Unlike fixed conveyors or AGVs, AMRs map environments, avoid obstacles, and adapt to changing workflows, enabling rapid reconfiguration and efficiency gains. Adoption grows with e-commerce demand, labor shortages, and the need for flexible intralogistics. Scalability and ROI depend on throughput improvement, ease of deployment, and ecosystem support.

According to the International Federation of Robotics (IFR) World Robotics 2023 Report, sales of professional service robots reached a new record of 158,000 units shipped globally in 2022.

Market Dynamics:

Driver:

Growing labor shortages and rising wage costs

The primary driver for AMR adoption is the persistent and growing labor shortage, particularly in warehousing and manufacturing, coupled with steadily rising wage costs. Companies are increasingly turning to AMRs as a strategic solution to maintain operational continuity and improve cost predictability. This automation mitigates the risk of human resource volatility while ensuring tasks like material transport and picking are completed consistently, directly enhancing productivity and stabilizing long-term operational expenditure in a tight labor market.

Restraint:

High initial investment costs for AMR deployment and system integration

A significant barrier to widespread AMR adoption is the high initial capital expenditure required for deployment, which includes the robots themselves, sophisticated software integration, and necessary infrastructure upgrades. For many small and medium-sized enterprises, this upfront cost can be prohibitive, despite the promise of long-term ROI. This financial hurdle necessitates a compelling business case to justify the investment, often slowing down the decision-making process and limiting market penetration to larger, more capital-rich organizations.

Opportunity:

Development of AMRs with enhanced AI capabilities for complex tasks

Enhancements in vision systems, contextual awareness, and decision-making algorithms will allow robots to perform increasingly complex and non-repetitive tasks beyond simple transport. This evolution will unlock new applications in dynamic environments like final assembly or quality inspection, thereby expanding the AMR's value proposition and opening up new, high-margin revenue streams for manufacturers in untapped industry verticals.

Threat:

Cybersecurity risks in connected AMR systems

As AMRs become more connected through the Industrial Internet of Things (IIoT), they face an escalating threat from cybersecurity vulnerabilities. A breach could lead to operational shutdown, data theft, or even safety incidents if robots are maliciously controlled. This risk necessitates continuous investment in robust security protocols and encryption, which can increase system complexity and cost. Moreover, a single high-profile security incident could erode trust and slow market growth, making cybersecurity a critical challenge for the entire industry.

Covid-19 Impact:

The COVID-19 pandemic acted as a significant catalyst for the AMR market. It exposed critical vulnerabilities in supply chains reliant on manual labor, causing severe disruptions. The enforced social distancing protocols and lockdowns accelerated the shift towards automation as companies sought to ensure operational resilience and reduce human dependency. This led to a surge in demand for AMRs, particularly in e-commerce fulfillment and logistics, as businesses prioritized automation to build more robust and pandemic-proof operations for the future.

The goods-to-person picking robots segment is expected to be the largest during the forecast period

The goods-to-person picking robots segment is expected to account for the largest market share during the forecast period, which is attributed to the explosive growth of e-commerce and the pressing need for warehouse optimization. Goods-to-person systems drastically reduce operator walking time and increase picking accuracy and speed, which are critical metrics in fulfillment centers. By bringing inventory directly to workers, these AMRs streamline the most labor-intensive process in a warehouse, directly addressing the challenges of labor shortages and rising consumer expectations for rapid order delivery, making them a foundational investment for modern logistics.

The hybrid and multi-sensor fusion segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the hybrid and multi-sensor fusion segment is predicted to witness the highest growth rate because hybrid systems, which combine technologies like LiDAR with vision systems and sometimes sonar, create a more robust and reliable AMR. This multi-sensor approach provides redundant data, allowing for superior navigation in dynamic, human-populated environments and enabling more complex tasks like precise manipulation. As applications move beyond simple guided paths, the demand for these advanced, perception-rich systems is accelerating, driving significant growth in this segment.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, fueled by a strong presence of major AMR vendors, high labor costs, and an early, aggressive adoption of automation technologies across its mature manufacturing and massive e-commerce sectors. Furthermore, substantial investments in modernizing supply chain infrastructure and the presence of tech giants with automated warehouses create a concentrated hub of demand. The region's robust economic capacity to absorb high initial investments further consolidates its position as the current revenue leader in the global AMR market.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by the relentless expansion of its manufacturing sector and the ongoing logistics modernization in countries like China, India, and South Korea. Governments in the region are actively promoting Industry 4.0 initiatives, incentivizing automation. Additionally, rising labor costs and the need to improve production efficiency to maintain a competitive edge in global exports are compelling factors creating a fertile ground for the accelerated adoption of AMR technologies.

Key players in the market

Some of the key players in Autonomous Mobile Robot Market include Mobile Industrial Robots A/S, Locus Robotics, Inc., Geek+ Technology Co., Ltd., OTTO Motors, Seegrid Corporation, GreyOrange Pte. Ltd., Hai Robotics Co., Ltd., Amazon Robotics, Inc., Swisslog Holding AG, Dematic GmbH, Zebra Technologies Corporation, KUKA Aktiengesellschaft, ABB Ltd., OMRON Corporation, Boston Dynamics, Inc., Clearpath Robotics, Inc., FANUC Corporation, Yaskawa Electric Corporation, IAM Robotics, Inc., and inVia Robotics, Inc.

Key Developments:

In June 2025, Seegrid announced its AMRs surpassed 17 million autonomous miles and continues to post product launches and leadership appointments on its news hub.

In April 2025, Boston Dynamics expanded collaboration with Hyundai Motor Group to scale manufacturing and published program updates and partner MOUs on its official news page.

In November 2024, MiR announced the launch of the MiR MC600, a mobile collaborative robot (cobot) that combines a MiR600 autonomous mobile robot base with Universal Robots' heavy-payload UR20/UR30 collaborative robot arms. The MC600 can handle payloads up to 600 kg and is designed for complex industrial workflows such as palletizing, box handling, and machine tending.

Components Covered:

  • Hardware
  • Software
  • Services

Types Covered:

  • Goods-to-Person Picking Robots
  • Autonomous Forklifts/Self-driving Forklifts
  • Autonomous Inventory Robots
  • Other Types

Navigation Technologies Covered:

  • LiDAR SLAM
  • Vision-Based (2D/3D Camera)
  • Magnetic/Inductive/QR Code Guided
  • Hybrid and Multi-Sensor Fusion

Payload Capacities Covered:

  • Low (Up to 100 kg)
  • Medium (101 kg - 500 kg)
  • Heavy-Duty (Above 500 kg)

Applications Covered:

  • Sorting and Palletizing
  • Material Handling and Transportation
  • Assembly and Kitting
  • Inspection and Monitoring
  • Security and Surveillance
  • Last-Mile Delivery
  • Other Applications

End Users Covered:

  • Warehouse and Logistics/Distribution Centers
  • Manufacturing
  • Healthcare and Pharmaceuticals
  • Retail and E-commerce
  • Defense and Security
  • Hospitality
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & 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 2024, 2025, 2026, 2028, and 2032
  • 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

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Autonomous Mobile Robot Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Sensing & Perception Systems
      • 5.2.1.1 LiDAR (Light Detection and Ranging
      • 5.2.1.2 Vision Systems/Cameras
      • 5.2.1.3 Proximity Sensors
      • 5.2.1.4 Other Sensors
    • 5.2.2 Processing & Control Units
      • 5.2.2.1 Microcontrollers and Microprocessors (MCUs/MPUs)
      • 5.2.2.2 Graphics Processing Units (GPUs)/AI Chips
      • 5.2.2.3 Industrial PCs/Embedded Systems
    • 5.2.3 Locomotion & Mechanical Systems
      • 5.2.3.1 Actuators and Motors
      • 5.2.3.2 Chassis and Frame
      • 5.2.3.3 Wheels, Tracks, and Omni-wheels
      • 5.2.3.4 Brakes and Gearboxes
    • 5.2.4 Power & Electrical Systems
      • 5.2.4.1 Batteries
      • 5.2.4.2 Battery Management Systems (BMS)
      • 5.2.4.3 Charging Stations & Infrastructure
    • 5.2.5 Other Hardware
  • 5.3 Software
    • 5.3.1 Navigation & Mapping Software
      • 5.3.1.1 SLAM (Simultaneous Localization and Mapping) Algorithms
      • 5.3.1.2 Path Planning and Optimization
      • 5.3.1.3 Obstacle Avoidance and Collision Detection
    • 5.3.2 Fleet Management Systems (FMS)
    • 5.3.3 AI and Machine Learning Modules
    • 5.3.4 Operating Systems (OS)
  • 5.4 Services
    • 5.4.1 Deployment and Integration Services
    • 5.4.2 Maintenance, Repair, and Operations (MRO)
    • 5.4.3 Software Upgrades and Support (SaaS model)
    • 5.4.4 Consulting and Training
    • 5.4.5 RaaS (Robots-as-a-Service) Offerings

6 Global Autonomous Mobile Robot Market, By Type

  • 6.1 Introduction
  • 6.2 Goods-to-Person Picking Robots
  • 6.3 Autonomous Forklifts/Self-driving Forklifts
  • 6.4 Autonomous Inventory Robots
  • 6.5 Other Types

7 Global Autonomous Mobile Robot Market, By Navigation Technology

  • 7.1 Introduction
  • 7.2 LiDAR SLAM
  • 7.3 Vision-Based (2D/3D Camera)
  • 7.4 Magnetic/Inductive/QR Code Guided
  • 7.5 Hybrid and Multi-Sensor Fusion

8 Global Autonomous Mobile Robot Market, By Payload Capacity

  • 8.1 Introduction
  • 8.2 Low (Up to 100 kg)
  • 8.3 Medium (101 kg - 500 kg)
  • 8.4 Heavy-Duty (Above 500 kg)

9 Global Autonomous Mobile Robot Market, By Application

  • 9.1 Introduction
  • 9.2 Sorting and Palletizing
  • 9.3 Material Handling and Transportation
  • 9.4 Assembly and Kitting
  • 9.5 Inspection and Monitoring
  • 9.6 Security and Surveillance
  • 9.7 Last-Mile Delivery
  • 9.8 Other Applications

10 Global Autonomous Mobile Robot Market, By End User

  • 10.1 Introduction
  • 10.2 Warehouse and Logistics/Distribution Centers
  • 10.3 Manufacturing
  • 10.4 Healthcare and Pharmaceuticals
  • 10.5 Retail and E-commerce
  • 10.6 Defense and Security
  • 10.7 Hospitality
  • 10.8 Other End Users

11 Global Autonomous Mobile Robot Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Mobile Industrial Robots A/S
  • 13.2 Locus Robotics, Inc.
  • 13.3 Geek+ Technology Co., Ltd.
  • 13.4 OTTO Motors
  • 13.5 Seegrid Corporation
  • 13.6 GreyOrange Pte. Ltd.
  • 13.7 Hai Robotics Co., Ltd.
  • 13.8 Amazon Robotics, Inc.
  • 13.9 Swisslog Holding AG
  • 13.10 Dematic GmbH
  • 13.11 Zebra Technologies Corporation
  • 13.12 KUKA Aktiengesellschaft
  • 13.13 ABB Ltd.
  • 13.14 OMRON Corporation
  • 13.15 Boston Dynamics, Inc.
  • 13.16 Clearpath Robotics, Inc.
  • 13.17 FANUC Corporation
  • 13.18 Yaskawa Electric Corporation
  • 13.19 IAM Robotics, Inc.
  • 13.20 inVia Robotics, Inc.

List of Tables

  • Table 1 Global Autonomous Mobile Robot Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Autonomous Mobile Robot Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Autonomous Mobile Robot Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Autonomous Mobile Robot Market Outlook, By Sensing & Perception Systems (2024-2032) ($MN)
  • Table 5 Global Autonomous Mobile Robot Market Outlook, By LiDAR (Light Detection and Ranging) (2024-2032) ($MN)
  • Table 6 Global Autonomous Mobile Robot Market Outlook, By Vision Systems/Cameras (2024-2032) ($MN)
  • Table 7 Global Autonomous Mobile Robot Market Outlook, By Proximity Sensors (2024-2032) ($MN)
  • Table 8 Global Autonomous Mobile Robot Market Outlook, By Other Sensors (2024-2032) ($MN)
  • Table 9 Global Autonomous Mobile Robot Market Outlook, By Processing & Control Units (2024-2032) ($MN)
  • Table 10 Global Autonomous Mobile Robot Market Outlook, By Microcontrollers and Microprocessors (MCUs/MPUs) (2024-2032) ($MN)
  • Table 11 Global Autonomous Mobile Robot Market Outlook, By Graphics Processing Units (GPUs)/AI Chips (2024-2032) ($MN)
  • Table 12 Global Autonomous Mobile Robot Market Outlook, By Industrial PCs/Embedded Systems (2024-2032) ($MN)
  • Table 13 Global Autonomous Mobile Robot Market Outlook, By Locomotion & Mechanical Systems (2024-2032) ($MN)
  • Table 14 Global Autonomous Mobile Robot Market Outlook, By Actuators and Motors (2024-2032) ($MN)
  • Table 15 Global Autonomous Mobile Robot Market Outlook, By Chassis and Frame (2024-2032) ($MN)
  • Table 16 Global Autonomous Mobile Robot Market Outlook, By Wheels, Tracks, and Omni-wheels (2024-2032) ($MN)
  • Table 17 Global Autonomous Mobile Robot Market Outlook, By Brakes and Gearboxes (2024-2032) ($MN)
  • Table 18 Global Autonomous Mobile Robot Market Outlook, By Power & Electrical Systems (2024-2032) ($MN)
  • Table 19 Global Autonomous Mobile Robot Market Outlook, By Batteries (2024-2032) ($MN)
  • Table 20 Global Autonomous Mobile Robot Market Outlook, By Battery Management Systems (BMS) (2024-2032) ($MN)
  • Table 21 Global Autonomous Mobile Robot Market Outlook, By Charging Stations & Infrastructure (2024-2032) ($MN)
  • Table 22 Global Autonomous Mobile Robot Market Outlook, By Other Hardware (2024-2032) ($MN)
  • Table 23 Global Autonomous Mobile Robot Market Outlook, By Software (2024-2032) ($MN)
  • Table 24 Global Autonomous Mobile Robot Market Outlook, By Navigation & Mapping Software (2024-2032) ($MN)
  • Table 25 Global Autonomous Mobile Robot Market Outlook, By SLAM (Simultaneous Localization and Mapping) Algorithms (2024-2032) ($MN)
  • Table 26 Global Autonomous Mobile Robot Market Outlook, By Path Planning and Optimization (2024-2032) ($MN)
  • Table 27 Global Autonomous Mobile Robot Market Outlook, By Obstacle Avoidance and Collision Detection (2024-2032) ($MN)
  • Table 28 Global Autonomous Mobile Robot Market Outlook, By Fleet Management Systems (FMS) (2024-2032) ($MN)
  • Table 29 Global Autonomous Mobile Robot Market Outlook, By AI and Machine Learning Modules (2024-2032) ($MN)
  • Table 30 Global Autonomous Mobile Robot Market Outlook, By Operating Systems (OS) (2024-2032) ($MN)
  • Table 31 Global Autonomous Mobile Robot Market Outlook, By Services (2024-2032) ($MN)
  • Table 32 Global Autonomous Mobile Robot Market Outlook, By Deployment and Integration Services (2024-2032) ($MN)
  • Table 33 Global Autonomous Mobile Robot Market Outlook, By Maintenance, Repair, and Operations (MRO) (2024-2032) ($MN)
  • Table 34 Global Autonomous Mobile Robot Market Outlook, By Software Upgrades and Support (SaaS model) (2024-2032) ($MN)
  • Table 35 Global Autonomous Mobile Robot Market Outlook, By Consulting and Training (2024-2032) ($MN)
  • Table 36 Global Autonomous Mobile Robot Market Outlook, By RaaS (Robots-as-a-Service) Offerings (2024-2032) ($MN)
  • Table 37 Global Autonomous Mobile Robot Market Outlook, By Type (2024-2032) ($MN)
  • Table 38 Global Autonomous Mobile Robot Market Outlook, By Goods-to-Person Picking Robots (2024-2032) ($MN)
  • Table 39 Global Autonomous Mobile Robot Market Outlook, By Autonomous Forklifts/Self-driving Forklifts (2024-2032) ($MN)
  • Table 40 Global Autonomous Mobile Robot Market Outlook, By Autonomous Inventory Robots (2024-2032) ($MN)
  • Table 41 Global Autonomous Mobile Robot Market Outlook, By Other Types (2024-2032) ($MN)
  • Table 42 Global Autonomous Mobile Robot Market Outlook, By Navigation Technology (2024-2032) ($MN)
  • Table 43 Global Autonomous Mobile Robot Market Outlook, By LiDAR SLAM (2024-2032) ($MN)
  • Table 44 Global Autonomous Mobile Robot Market Outlook, By Vision-Based (2D/3D Camera) (2024-2032) ($MN)
  • Table 45 Global Autonomous Mobile Robot Market Outlook, By Magnetic/Inductive/QR Code Guided (2024-2032) ($MN)
  • Table 46 Global Autonomous Mobile Robot Market Outlook, By Hybrid and Multi-Sensor Fusion (2024-2032) ($MN)
  • Table 47 Global Autonomous Mobile Robot Market Outlook, By Payload Capacity (2024-2032) ($MN)
  • Table 48 Global Autonomous Mobile Robot Market Outlook, By Low (Up to 100 kg) (2024-2032) ($MN)
  • Table 49 Global Autonomous Mobile Robot Market Outlook, By Medium (101 kg - 500 kg) (2024-2032) ($MN)
  • Table 50 Global Autonomous Mobile Robot Market Outlook, By Heavy-Duty (Above 500 kg) (2024-2032) ($MN)
  • Table 51 Global Autonomous Mobile Robot Market Outlook, By Application (2024-2032) ($MN)
  • Table 52 Global Autonomous Mobile Robot Market Outlook, By Sorting and Palletizing (2024-2032) ($MN)
  • Table 53 Global Autonomous Mobile Robot Market Outlook, By Material Handling and Transportation (2024-2032) ($MN)
  • Table 54 Global Autonomous Mobile Robot Market Outlook, By Assembly and Kitting (2024-2032) ($MN)
  • Table 55 Global Autonomous Mobile Robot Market Outlook, By Inspection and Monitoring (2024-2032) ($MN)
  • Table 56 Global Autonomous Mobile Robot Market Outlook, By Security and Surveillance (2024-2032) ($MN)
  • Table 57 Global Autonomous Mobile Robot Market Outlook, By Last-Mile Delivery (2024-2032) ($MN)
  • Table 58 Global Autonomous Mobile Robot Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 59 Global Autonomous Mobile Robot Market Outlook, By End User (2024-2032) ($MN)
  • Table 60 Global Autonomous Mobile Robot Market Outlook, By Warehouse and Logistics/Distribution Centers (2024-2032) ($MN)
  • Table 61 Global Autonomous Mobile Robot Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 62 Global Autonomous Mobile Robot Market Outlook, By Healthcare and Pharmaceuticals (2024-2032) ($MN)
  • Table 63 Global Autonomous Mobile Robot Market Outlook, By Retail and E-commerce (2024-2032) ($MN)
  • Table 64 Global Autonomous Mobile Robot Market Outlook, By Defense and Security (2024-2032) ($MN)
  • Table 65 Global Autonomous Mobile Robot Market Outlook, By Hospitality (2024-2032) ($MN)
  • Table 66 Global Autonomous Mobile Robot Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.