PUBLISHER: Stratistics Market Research Consulting | PRODUCT CODE: 1876683
PUBLISHER: Stratistics Market Research Consulting | PRODUCT CODE: 1876683
Autonomous Mobile Robot Market Forecasts to 2032 - Global Analysis By Component, Type, Navigation Technology, Payload Capacity, Application, End User, and By Geography
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
- 5.2.1 Sensing & Perception Systems
- 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)
- 5.3.1 Navigation & Mapping Software
- 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.
