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市場調查報告書
商品編碼
2102340

自主移動機器人市場：預測至2034年—按機器人類型、組件、導航技術、有效載荷能力、應用、最終用戶和地區分類的全球分析

Autonomous Mobile Robots Market Forecasts to 2034 - Global Analysis By Robot Type, Component, Navigation Technology, Payload Capacity, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球自主移動機器人 (AMR) 市場規模將達到 55 億美元，並在預測期內以 19.6% 的複合年成長率成長，到 2034 年將達到 161 億美元。

自主移動機器人（AMR）是一種無需固定基礎設施或人工引導，即可在快速變化的工業和商業環境中運輸物料、庫存和貨物的自主機器人系統。這些機器人利用車載感測器、LiDAR、攝影機和人工智慧演算法來感知周圍環境、規劃最佳路線並即時避開障礙物。 AMR平台與倉庫管理系統和企業資源計劃（ERP）軟體整合，以接收工作指令並報告運作狀態。這項技術包括「貨到人（GTP）」揀選機器人、自主堆高機、標籤機器人和庫存掃描單元，它們與倉庫、物流中心和製造工廠中的工作人員協同運作。

人手不足帶來的壓力

倉儲、物流和製造業持續的人手不足迫使企業加快採用自主移動機器人 (AMR) 作為策略性的勞動力增強措施。電子商務的蓬勃發展催生了對訂單處理速度的巨大需求，在許多市場，這種速度已經超越了人工的極限。 AMR 可以連續運作，無需休息、疲勞或換班，從而提供可預測的處理能力指標。終端用戶報告稱，在部署 AMR 後，揀貨效率提高了 30% 至 50%。其商業性意義不僅限於降低成本，還包括增強營運韌性，以應對勞動市場波動和季節性需求激增。

高昂的初始投資成本

部署自主移動機器人 (AMR) 團隊所需的大量前期投資是其普及應用的主要障礙，尤其對於資本支出預算有限的中小型企業 (SME) 而言更是如此。每台 AMR 的價格差異很大，從 3 萬美元到超過 10 萬美元不等，具體取決於有效載荷能力和導航功能的複雜程度。設施維修，例如 Wi-Fi 基礎設施升級和充電站安裝，也會產生額外的成本。與現有倉庫管理系統整合需要專業服務提供者的協助。雖然投資回收期正在縮短，但許多部署項目仍然需要 18 到 36 個月，這對於風險規避型買家來說仍然是一個障礙。

多機器人編配

開發能夠協調數百台異質自主移動機器人的車隊管理軟體，為大幅拓展市場提供了巨大機會。先進的編配平台能夠根據距離、電池電量和負載容量相容性，動態地為每種機器人類型分配任務。基於雲端的車隊最佳化利用機器學習技術預測交通模式，從而防止高密度倉庫環境中的擁塞。最終用戶受益於可擴展的部署方案，這些方案可以隨著工作負載的增加而逐步擴展。市場趨勢有利於那些提供軟體定義車隊協調解決方案的供應商，因為該方案能夠超越單一機器人硬體，成為其競爭優勢。

與AGV的競爭

在物料輸送應用領域，尤其是在工作流程可預測且路線固定的環境中，傳統的自動導引車 (AGV) 與自主移動機器人 (AMR) 之間的競爭仍然激烈。 AGV 的單位成本更低，在佈局模式一致的工廠中部署也更簡單。磁帶或QR碼引導系統在汽車組裝和重工業領域仍然佔據主導地位。一些終端用戶認為，在路線變化極小的應用中，AMR 的柔軟性反而會造成不必要的複雜性。 AGV 和 AMR 架構之間的市場細分使得供應商的定位和客戶的決策流程變得更加複雜。

新型冠狀病毒（COVID-19）的影響：

新冠疫情初期，由於設施關閉，自主移動機器人（AMR）供應鏈受到衝擊，導致客戶採用率下降。疫情期間，電子商務交易量的激增和社交距離的要求極大地加速了對倉庫自動化的投資，使得AMR的部署成為可能，從而減少了履約過程中的人為接觸。疫情恢復階段的勞動力短缺進一步鞏固了機器人自動化的商業價值。後疫情時代的供應鏈韌性策略優先考慮自動化物料輸送，以此作為應對未來勞動力短缺的緩衝手段。

在預測期內，「產品對人」機器人細分市場預計將佔據最大的市場佔有率。

在預測期內，「貨到人」機器人預計將佔據最大的市場佔有率。這主要歸功於其顯著的效率提升能力，它能將庫存直接送到固定的揀貨員手中，無需負責人穿梭於寬敞的倉庫通道。這些機器人能夠自主導航至儲存位置，取出整排貨架，並將其運送到符合人體工學設計的揀貨站，由工人進行分類。電子商務和零售分銷行業的終端用戶報告稱，每小時揀貨量增加了3到5倍。該領域的商業性主導地位反映了其成熟的技術水平、成熟的投資回報率（ROI）指標以及廣泛的產品類別適用性。

在預測期內，服務業預計將呈現最高的複合年成長率。

在預測期內，服務板塊預計將呈現最高的成長率，這主要得益於隨著自主移動機器人（AMR）在企業產品組合中的應用不斷擴展，對專家部署、整合、培訓以及持續的機器人集群最佳化服務的需求日益成長。服務內容包括現場評估、工作流程重組、倉庫管理系統（WMS）整合以及持續的效能調優。由於多家供應商提供的機器人集群方案複雜多樣，許多終端用戶缺乏內部專業知識。基於訂閱的託管服務模式降低了中型企業客戶的採用門檻。供應商生態系統正日益重視能夠提供高利潤率和持續收入的業務收益來源。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其成熟的電子商務基礎設施、高昂的人事費用加速了自動化經濟效益的實現，以及眾多主要自主移動機器人（AMR）供應商和整合商的存在。美國憑藉亞馬遜的大規模機器人部署和第三方物流供應商的積極擴張，引領市場。加拿大和墨西哥則受惠於近岸外包趨勢和對跨境物流中心的投資。創業投資對機器人新創企業的注入，為創新提供了支持。法律規範總體上促進了自動駕駛車輛在工業環境中的應用。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於電子商務的爆炸式成長、政府主導的智慧製造舉措以及中日企業在自動化領域的積極投資。中國在該領域處於領先地位，大規模的倉儲建設支撐著國內消費和出口物流。在日本，隨著人口老化和勞動力短缺的加劇，製造業和物流業正在加速採用自主移動機器人（AMR）。在韓國，先進的多機器人系統正被引入先進的電子和汽車產業。政府對工業4.0和物流現代化項目的補貼正在加速這一進程。

免費客製化服務：

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    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章：執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 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
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球自主移動機器人市場：依機器人類型分類

  • GTP（貨物到人）機器人
  • 自動堆高機
  • 自主標籤器
  • 自主推車機器人
  • 庫存掃描機器人
  • 人形移動機器人
  • 其他類型的機器人

第6章 全球自主移動機器人市場：依組件分類

  • 硬體
  • 軟體
  • 服務

第7章：全球自主移動機器人市場：依導航技術分類

  • 基於LiDAR的導航
  • 基於視覺的導航
  • 雷射導
  • SLAM導航
  • GPS導航
  • 混合導航

第8章：全球自主移動機器人市場：依酬載能力分類

  • 100公斤或以下
  • 101～500 kg
  • 501～1000 kg
  • 超過1000公斤

第9章 全球自主移動機器人市場：依應用分類

  • 物料輸送
  • 揀貨
  • 運輸
  • 庫存管理
  • 排序
  • 最後一公里物料運輸
  • 其他用途

第10章：全球自主移動機器人市場：依最終用戶分類

  • 電子商務與零售
  • 車
  • 食品/飲料
  • 衛生保健
  • 物流和倉儲
  • 電子設備
  • 製造業
  • 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

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • ABB Ltd.
  • Omron Corporation
  • Geek+
  • Locus Robotics
  • MiR（Mobile Industrial Robots）
  • KUKA AG
  • Zebra Technologies Corporation
  • Honeywell International Inc.
  • Daifuku Co., Ltd.
  • SSI SCHAEFER Group
  • Seegrid Corporation
  • Fetch Robotics
  • OTTO Motors
  • BALYO
  • FANUC Corporation
  • Yaskawa Electric Corporation
  • Boston Dynamics
Product Code: SMRC38301

According to Stratistics MRC, the Global Autonomous Mobile Robots (AMRs) Market is accounted for $5.5 billion in 2026 and is expected to reach $16.1 billion by 2034 growing at a CAGR of 19.6% during the forecast period. Autonomous mobile robots are self-navigating robotic systems capable of transporting materials, inventory, and goods within dynamic industrial and commercial environments without fixed infrastructure or human guidance. These robots utilize onboard sensors, LiDAR, cameras, and artificial intelligence algorithms to perceive their surroundings, plan optimal paths, and avoid obstacles in real time. AMR platforms integrate with warehouse management systems and enterprise resource planning software to receive task assignments and report operational status. The technology encompasses goods-to-person picking robots, autonomous forklifts, tuggers, and inventory scanning units that operate collaboratively alongside human workers in warehouses, distribution centers, and manufacturing facilities.

Market Dynamics:

Driver:

Labor shortage pressures

Persistent labor shortages across warehousing, logistics, and manufacturing sectors are compelling enterprises to accelerate autonomous mobile robot deployments as a strategic workforce augmentation solution. E-commerce growth has created an insatiable demand for order fulfillment velocity that exceeds human labor capacity in many markets. AMRs operate continuously without breaks, fatigue, or shift changes, delivering predictable throughput metrics. End users report thirty to fifty percent improvements in picking productivity following AMR integration. The commercial implication extends beyond cost savings to include operational resilience against labor market volatility and seasonal demand spikes.

Restraint:

High capital costs

The substantial upfront investment required for autonomous mobile robot fleets represents a significant barrier to adoption, particularly for small and medium enterprises with limited capital expenditure budgets. Individual AMR units range from thirty thousand to over one hundred thousand dollars depending on payload capacity and navigation sophistication. Facility modifications, including Wi-Fi infrastructure upgrades and charging station installations, add ancillary costs. Integration with existing warehouse management systems requires professional services engagement. The payback period, while improving, remains eighteen to thirty-six months for many deployments, discouraging risk-averse buyers.

Opportunity:

Multi-robot orchestration

The development of fleet management software capable of coordinating hundreds of heterogeneous autonomous mobile robots presents substantial market expansion opportunities. Advanced orchestration platforms dynamically allocate tasks across robot types based on proximity, battery level, and payload compatibility. Cloud-based fleet optimization leverages machine learning to predict traffic patterns and prevent congestion in high-density warehouse environments. End users benefit from scalable deployments that grow incrementally with business volume. The commercial momentum favors vendors offering software-defined fleet coordination as a competitive differentiator beyond individual robot hardware.

Threat:

AGV competition

Traditional automated guided vehicles continue to compete aggressively with autonomous mobile robots in material handling applications, particularly in environments with predictable workflows and dedicated travel paths. AGVs offer lower per-unit costs and simpler deployment requirements for facilities with consistent layout patterns. Magnetic tape and QR-code guided systems remain entrenched in automotive assembly and heavy manufacturing. Some end users perceive AMR flexibility as unnecessary complexity for applications where route variability is minimal. Market fragmentation between AGV and AMR architectures complicates vendor positioning and customer decision-making processes.

Covid-19 Impact:

The COVID-19 pandemic initially disrupted AMR supply chains and delayed customer implementations due to facility shutdowns. Mid-pandemic, e-commerce volume surges and social distancing requirements dramatically accelerated warehouse automation investments, with AMRs enabling reduced human contact in fulfillment operations. Labor availability constraints during recovery phases reinforced the business case for robotic automation. Post-pandemic, supply chain resilience strategies prioritize automated material handling to buffer against future workforce disruptions.

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

The goods-to-person robots segment is expected to account for the largest market share during the forecast period, due to its proven ability to transform warehouse order fulfillment productivity by bringing inventory directly to stationary human pickers rather than requiring workers to traverse expansive warehouse aisles. These robots navigate autonomously to storage locations, retrieve entire shelving units, and transport them to ergonomic picking stations where operators select individual items. End users in e-commerce and retail distribution report three to five times improvement in picks per hour. The commercial dominance reflects the segment's maturity, established return on investment metrics, and broad applicability across product categories.

The services segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the services segment is predicted to witness the highest growth rate, driven by the expanding requirement for professional deployment, integration, training, and ongoing fleet optimization services as AMR installations scale across enterprise portfolios. Services encompass site assessment, workflow redesign, warehouse management system integration, and continuous performance tuning. The complexity of multi-vendor robot fleets necessitates specialized expertise that many end users lack internally. Subscription-based managed service models lower barriers to adoption for mid-market customers. Vendor ecosystems increasingly prioritize service revenue streams with higher margins and recurring characteristics.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the mature e-commerce infrastructure, high labor costs that accelerate automation economics, and the presence of leading AMR vendors and integrators. The United States dominates with Amazon's extensive robotics deployment and aggressive expansion by third-party logistics providers. Canada and Mexico benefit from nearshoring trends and cross-border distribution center investments. Venture capital availability for robotics startups sustains innovation pipelines. Regulatory frameworks generally support autonomous vehicle operation in industrial settings.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to explosive e-commerce growth, government smart manufacturing initiatives, and aggressive automation investments by Chinese and Japanese enterprises. China leads with massive warehouse construction supporting domestic consumption and export logistics. Japan's aging demographics and labor constraints drive AMR adoption in manufacturing and distribution. South Korea's advanced electronics and automotive sectors deploy sophisticated multi-robot systems. Government subsidies for Industry 4.0 and logistics modernization programs accelerate procurement timelines.

Key players in the market

Some of the key players in Autonomous Mobile Robots (AMRs) include ABB Ltd., Omron Corporation, Geek+, Locus Robotics, MiR (Mobile Industrial Robots), KUKA AG, Zebra Technologies Corporation, Honeywell International Inc., Daifuku Co., Ltd., SSI SCHAEFER Group, Seegrid Corporation, Fetch Robotics, OTTO Motors, BALYO, FANUC Corporation, Yaskawa Electric Corporation and Boston Dynamics.

Key Developments:

In June 2026, Geek+ deployed a next-generation goods-to-person robot fleet exceeding ten thousand units across Asia Pacific distribution centers, integrating AI-driven dynamic slotting optimization for enhanced warehouse throughput.

In May 2026, Locus Robotics expanded its AMR deployment to European pharmaceutical distribution facilities, achieving regulatory compliance certifications for clean room operations and cold chain material handling environments.

In April 2026, MiR (Mobile Industrial Robots) launched an autonomous forklift platform with enhanced heavy payload capacity, targeting automotive and aerospace manufacturing applications requiring precision material transport.

Robot Types Covered:

  • Goods-to-Person Robots
  • Autonomous Forklifts
  • Autonomous Tuggers
  • Autonomous Cart Robots
  • Inventory Scanning Robots
  • Humanoid Mobile Robots
  • Other Robot Types

Components Covered:

  • Hardware
  • Software
  • Services

Navigation Technologies Covered:

  • LiDAR-Based Navigation
  • Vision-Based Navigation
  • Laser Guidance
  • SLAM Navigation
  • GPS Navigation
  • Hybrid Navigation

Payload Capacities Covered:

  • Up to 100 kg
  • 101-500 kg
  • 501-1000 kg
  • Above 1000 kg

Applications Covered:

  • Material Handling
  • Order Picking
  • Transportation
  • Inventory Management
  • Sorting
  • Last-mile Material Movement
  • Other Applications

End Users Covered:

  • E-commerce and Retail
  • Automotive
  • Food and Beverage
  • Healthcare
  • Logistics and Warehousing
  • Electronics
  • Manufacturing
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Autonomous Mobile Robots (AMRs) Market, By Robot Type

  • 5.1 Goods-to-Person Robots
  • 5.2 Autonomous Forklifts
  • 5.3 Autonomous Tuggers
  • 5.4 Autonomous Cart Robots
  • 5.5 Inventory Scanning Robots
  • 5.6 Humanoid Mobile Robots
  • 5.7 Other Robot Types

6 Global Autonomous Mobile Robots (AMRs) Market, By Component

  • 6.1 Hardware
  • 6.2 Software
  • 6.3 Services

7 Global Autonomous Mobile Robots (AMRs) Market, By Navigation Technology

  • 7.1 LiDAR-Based Navigation
  • 7.2 Vision-Based Navigation
  • 7.3 Laser Guidance
  • 7.4 SLAM Navigation
  • 7.5 GPS Navigation
  • 7.6 Hybrid Navigation

8 Global Autonomous Mobile Robots (AMRs) Market, By Payload Capacity

  • 8.1 Up to 100 kg
  • 8.2 101-500 kg
  • 8.3 501-1000 kg
  • 8.4 Above 1000 kg

9 Global Autonomous Mobile Robots (AMRs) Market, By Application

  • 9.1 Material Handling
  • 9.2 Order Picking
  • 9.3 Transportation
  • 9.4 Inventory Management
  • 9.5 Sorting
  • 9.6 Last-mile Material Movement
  • 9.7 Other Applications

10 Global Autonomous Mobile Robots (AMRs) Market, By End User

  • 10.1 E-commerce and Retail
  • 10.2 Automotive
  • 10.3 Food and Beverage
  • 10.4 Healthcare
  • 10.5 Logistics and Warehousing
  • 10.6 Electronics
  • 10.7 Manufacturing
  • 10.8 Other End Users

11 Global Autonomous Mobile Robots (AMRs) Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 ABB Ltd.
  • 14.2 Omron Corporation
  • 14.3 Geek+
  • 14.4 Locus Robotics
  • 14.5 MiR (Mobile Industrial Robots)
  • 14.6 KUKA AG
  • 14.7 Zebra Technologies Corporation
  • 14.8 Honeywell International Inc.
  • 14.9 Daifuku Co., Ltd.
  • 14.10 SSI SCHAEFER Group
  • 14.11 Seegrid Corporation
  • 14.12 Fetch Robotics
  • 14.13 OTTO Motors
  • 14.14 BALYO
  • 14.15 FANUC Corporation
  • 14.16 Yaskawa Electric Corporation
  • 14.17 Boston Dynamics

List of Tables

  • Table 1 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Robot Type (2023-2034) ($MN)
  • Table 3 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Goods-to-Person Robots (2023-2034) ($MN)
  • Table 4 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Autonomous Forklifts (2023-2034) ($MN)
  • Table 5 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Autonomous Tuggers (2023-2034) ($MN)
  • Table 6 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Autonomous Cart Robots (2023-2034) ($MN)
  • Table 7 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Inventory Scanning Robots (2023-2034) ($MN)
  • Table 8 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Humanoid Mobile Robots (2023-2034) ($MN)
  • Table 9 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Other Robot Types (2023-2034) ($MN)
  • Table 10 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Component (2023-2034) ($MN)
  • Table 11 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 12 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Software (2023-2034) ($MN)
  • Table 13 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Services (2023-2034) ($MN)
  • Table 14 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Navigation Technology (2023-2034) ($MN)
  • Table 15 Global Autonomous Mobile Robots (AMRs) Market Outlook, By LiDAR-Based Navigation (2023-2034) ($MN)
  • Table 16 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Vision-Based Navigation (2023-2034) ($MN)
  • Table 17 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Laser Guidance (2023-2034) ($MN)
  • Table 18 Global Autonomous Mobile Robots (AMRs) Market Outlook, By SLAM Navigation (2023-2034) ($MN)
  • Table 19 Global Autonomous Mobile Robots (AMRs) Market Outlook, By GPS Navigation (2023-2034) ($MN)
  • Table 20 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Hybrid Navigation (2023-2034) ($MN)
  • Table 21 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Payload Capacity (2023-2034) ($MN)
  • Table 22 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Up to 100 kg (2023-2034) ($MN)
  • Table 23 Global Autonomous Mobile Robots (AMRs) Market Outlook, By 101-500 kg (2023-2034) ($MN)
  • Table 24 Global Autonomous Mobile Robots (AMRs) Market Outlook, By 501-1000 kg (2023-2034) ($MN)
  • Table 25 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Above 1000 kg (2023-2034) ($MN)
  • Table 26 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Application (2023-2034) ($MN)
  • Table 27 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Material Handling (2023-2034) ($MN)
  • Table 28 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Order Picking (2023-2034) ($MN)
  • Table 29 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Transportation (2023-2034) ($MN)
  • Table 30 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Inventory Management (2023-2034) ($MN)
  • Table 31 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Sorting (2023-2034) ($MN)
  • Table 32 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Last-mile Material Movement (2023-2034) ($MN)
  • Table 33 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Other Applications (2023-2034) ($MN)
  • Table 34 Global Autonomous Mobile Robots (AMRs) Market Outlook, By End User (2023-2034) ($MN)
  • Table 35 Global Autonomous Mobile Robots (AMRs) Market Outlook, By E-commerce and Retail (2023-2034) ($MN)
  • Table 36 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Automotive (2023-2034) ($MN)
  • Table 37 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Food and Beverage (2023-2034) ($MN)
  • Table 38 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 39 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Logistics and Warehousing (2023-2034) ($MN)
  • Table 40 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Electronics (2023-2034) ($MN)
  • Table 41 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 42 Global Autonomous Mobile Robots (AMRs) Market Outlook, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.