Global Autonomous Mobile Robot (AMR) Fleet Management Software Supply, Demand and Key Producers, 2026-2032
Description
The global Autonomous Mobile Robot (AMR) Fleet Management Software market size is expected to reach $ 580 million by 2032, rising at a market growth of 17.6% CAGR during the forecast period (2026-2032).
Autonomous Mobile Robot (AMR) fleet management software is a core system for unified scheduling, path planning, task allocation, traffic control, and status monitoring of multiple AMRs. Through algorithms, it enables collaborative operation of multiple robots and optimal resource allocation, supports real-time map building, order management, charging management, anomaly alarms, and data analysis, and can interface with WMS, MES, ERP, and other systems. It is widely used in warehousing and logistics, manufacturing plants, and pharmaceutical and retail distribution scenarios, and can be deployed in both local and cloud platform formats. It helps enterprises improve throughput efficiency, reduce labor costs, and ensure system security and scalability.
From a market perspective, autonomous mobile robot (AMR) fleet management software is upgrading from a "supporting tool" to an "intelligent hub." With the continued growth in demand for flexible automation from e-commerce logistics, smart manufacturing, and pharmaceutical cold chain logistics, enterprises are paying more attention to the unified scheduling and system compatibility of multi-brand AMRs. This is driving platform-based and open software to become mainstream, and the value of software in projects is constantly increasing, shifting from one-time licensing to subscription and SaaS models.
From a competitive and technological trend perspective, leading vendors are building barriers based on algorithms, AI scheduling, and large-scale project experience, while smaller vendors are focusing on niche industries and localized services. The market is showing a pattern of "the strong getting stronger + breakthroughs in niche markets." Technologically, multi-machine collaborative optimization, digital twin simulation, edge-cloud collaboration, and low-code integration are becoming differentiating directions. Deep integration of software with the AMR itself, sensing capabilities, and 5G networks will further enhance system stability and scalability.
From the perspective of customer needs and business models, users place greater emphasis on rapid deployment, stable operation, and ROI. Projects are evolving from single-warehouse pilots to large-scale applications across parks and systems, driving vendors to provide integrated solutions encompassing consulting, implementation, operation and maintenance, and data analysis. Simultaneously, flexible pricing based on the number of robots or task volume helps reduce initial investment for customers and expands penetration among small and medium-sized enterprises (SMEs).
Overall, the AMR fleet management software market will maintain a growth rate higher than that of the robots themselves. Future competition will focus on platform openness, intelligent scheduling, and ecosystem building capabilities. Vendors capable of integrating multi-brand equipment, continuously optimizing algorithms, and accumulating industry know-how will occupy a more advantageous position in the wave of intelligent logistics and smart factory upgrades.
This report studies the global Autonomous Mobile Robot (AMR) Fleet Management Software demand, key companies, and key regions.
This report is a detailed and comprehensive analysis of the world market for Autonomous Mobile Robot (AMR) Fleet Management Software, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2025 as the base year. This report explores demand trends and competition, as well as details the characteristics of Autonomous Mobile Robot (AMR) Fleet Management Software that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global Autonomous Mobile Robot (AMR) Fleet Management Software total market, 2021-2032, (USD Million)
Global Autonomous Mobile Robot (AMR) Fleet Management Software total market by region & country, CAGR, 2021-2032, (USD Million)
U.S. VS China: Autonomous Mobile Robot (AMR) Fleet Management Software total market, key domestic companies, and share, (USD Million)
Global Autonomous Mobile Robot (AMR) Fleet Management Software revenue by player, revenue and market share 2021-2026, (USD Million)
Global Autonomous Mobile Robot (AMR) Fleet Management Software total market by Type, CAGR, 2021-2032, (USD Million)
Global Autonomous Mobile Robot (AMR) Fleet Management Software total market by Application, CAGR, 2021-2032, (USD Million)
This report profiles major players in the global Autonomous Mobile Robot (AMR) Fleet Management Software market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include KUKA AG, Fives Group, Zimmer Group, KNAPP, ABB, Youibot, KINEXON, Milvus Robotics, AGILOX, Hangzhou Iplusmobot Technology Co.,Ltd, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the world Autonomous Mobile Robot (AMR) Fleet Management Software market
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2021-2032 by year with 2025 as the base year, 2026 as the estimate year, and 2027-2032 as the forecast year.
Global Autonomous Mobile Robot (AMR) Fleet Management Software Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global Autonomous Mobile Robot (AMR) Fleet Management Software Market, Segmentation by Type:
Task Scheduling Type
Path Optimization Type
Data Analysis Type
Global Autonomous Mobile Robot (AMR) Fleet Management Software Market, Segmentation by Deployment Mode:
Localized Deployment
Cloud-based SaaS Service
Hybrid Deployment
Global Autonomous Mobile Robot (AMR) Fleet Management Software Market, Segmentation by Function:
Task Management and Order Dispatch
Map Management and Navigation
Others
Global Autonomous Mobile Robot (AMR) Fleet Management Software Market, Segmentation by Application:
Logistics Industry
Manufacturing Industry
Medical Industry
Others
Companies Profiled:
KUKA AG
Fives Group
Zimmer Group
KNAPP
ABB
Youibot
KINEXON
Milvus Robotics
AGILOX
Hangzhou Iplusmobot Technology Co.,Ltd
SYNAOS
KONICA MINOLTA
SEER Robotics
Omron Europe
Karelics
Key Questions Answered
1. How big is the global Autonomous Mobile Robot (AMR) Fleet Management Software market?
2. What is the demand of the global Autonomous Mobile Robot (AMR) Fleet Management Software market?
3. What is the year over year growth of the global Autonomous Mobile Robot (AMR) Fleet Management Software market?
4. What is the total value of the global Autonomous Mobile Robot (AMR) Fleet Management Software market?
5. Who are the Major Players in the global Autonomous Mobile Robot (AMR) Fleet Management Software market?
6. What are the growth factors driving the market demand?
Autonomous Mobile Robot (AMR) fleet management software is a core system for unified scheduling, path planning, task allocation, traffic control, and status monitoring of multiple AMRs. Through algorithms, it enables collaborative operation of multiple robots and optimal resource allocation, supports real-time map building, order management, charging management, anomaly alarms, and data analysis, and can interface with WMS, MES, ERP, and other systems. It is widely used in warehousing and logistics, manufacturing plants, and pharmaceutical and retail distribution scenarios, and can be deployed in both local and cloud platform formats. It helps enterprises improve throughput efficiency, reduce labor costs, and ensure system security and scalability.
From a market perspective, autonomous mobile robot (AMR) fleet management software is upgrading from a "supporting tool" to an "intelligent hub." With the continued growth in demand for flexible automation from e-commerce logistics, smart manufacturing, and pharmaceutical cold chain logistics, enterprises are paying more attention to the unified scheduling and system compatibility of multi-brand AMRs. This is driving platform-based and open software to become mainstream, and the value of software in projects is constantly increasing, shifting from one-time licensing to subscription and SaaS models.
From a competitive and technological trend perspective, leading vendors are building barriers based on algorithms, AI scheduling, and large-scale project experience, while smaller vendors are focusing on niche industries and localized services. The market is showing a pattern of "the strong getting stronger + breakthroughs in niche markets." Technologically, multi-machine collaborative optimization, digital twin simulation, edge-cloud collaboration, and low-code integration are becoming differentiating directions. Deep integration of software with the AMR itself, sensing capabilities, and 5G networks will further enhance system stability and scalability.
From the perspective of customer needs and business models, users place greater emphasis on rapid deployment, stable operation, and ROI. Projects are evolving from single-warehouse pilots to large-scale applications across parks and systems, driving vendors to provide integrated solutions encompassing consulting, implementation, operation and maintenance, and data analysis. Simultaneously, flexible pricing based on the number of robots or task volume helps reduce initial investment for customers and expands penetration among small and medium-sized enterprises (SMEs).
Overall, the AMR fleet management software market will maintain a growth rate higher than that of the robots themselves. Future competition will focus on platform openness, intelligent scheduling, and ecosystem building capabilities. Vendors capable of integrating multi-brand equipment, continuously optimizing algorithms, and accumulating industry know-how will occupy a more advantageous position in the wave of intelligent logistics and smart factory upgrades.
This report studies the global Autonomous Mobile Robot (AMR) Fleet Management Software demand, key companies, and key regions.
This report is a detailed and comprehensive analysis of the world market for Autonomous Mobile Robot (AMR) Fleet Management Software, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2025 as the base year. This report explores demand trends and competition, as well as details the characteristics of Autonomous Mobile Robot (AMR) Fleet Management Software that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global Autonomous Mobile Robot (AMR) Fleet Management Software total market, 2021-2032, (USD Million)
Global Autonomous Mobile Robot (AMR) Fleet Management Software total market by region & country, CAGR, 2021-2032, (USD Million)
U.S. VS China: Autonomous Mobile Robot (AMR) Fleet Management Software total market, key domestic companies, and share, (USD Million)
Global Autonomous Mobile Robot (AMR) Fleet Management Software revenue by player, revenue and market share 2021-2026, (USD Million)
Global Autonomous Mobile Robot (AMR) Fleet Management Software total market by Type, CAGR, 2021-2032, (USD Million)
Global Autonomous Mobile Robot (AMR) Fleet Management Software total market by Application, CAGR, 2021-2032, (USD Million)
This report profiles major players in the global Autonomous Mobile Robot (AMR) Fleet Management Software market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include KUKA AG, Fives Group, Zimmer Group, KNAPP, ABB, Youibot, KINEXON, Milvus Robotics, AGILOX, Hangzhou Iplusmobot Technology Co.,Ltd, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the world Autonomous Mobile Robot (AMR) Fleet Management Software market
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2021-2032 by year with 2025 as the base year, 2026 as the estimate year, and 2027-2032 as the forecast year.
Global Autonomous Mobile Robot (AMR) Fleet Management Software Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global Autonomous Mobile Robot (AMR) Fleet Management Software Market, Segmentation by Type:
Task Scheduling Type
Path Optimization Type
Data Analysis Type
Global Autonomous Mobile Robot (AMR) Fleet Management Software Market, Segmentation by Deployment Mode:
Localized Deployment
Cloud-based SaaS Service
Hybrid Deployment
Global Autonomous Mobile Robot (AMR) Fleet Management Software Market, Segmentation by Function:
Task Management and Order Dispatch
Map Management and Navigation
Others
Global Autonomous Mobile Robot (AMR) Fleet Management Software Market, Segmentation by Application:
Logistics Industry
Manufacturing Industry
Medical Industry
Others
Companies Profiled:
KUKA AG
Fives Group
Zimmer Group
KNAPP
ABB
Youibot
KINEXON
Milvus Robotics
AGILOX
Hangzhou Iplusmobot Technology Co.,Ltd
SYNAOS
KONICA MINOLTA
SEER Robotics
Omron Europe
Karelics
Key Questions Answered
1. How big is the global Autonomous Mobile Robot (AMR) Fleet Management Software market?
2. What is the demand of the global Autonomous Mobile Robot (AMR) Fleet Management Software market?
3. What is the year over year growth of the global Autonomous Mobile Robot (AMR) Fleet Management Software market?
4. What is the total value of the global Autonomous Mobile Robot (AMR) Fleet Management Software market?
5. Who are the Major Players in the global Autonomous Mobile Robot (AMR) Fleet Management Software market?
6. What are the growth factors driving the market demand?
Table of Contents
115 Pages
- 1 Supply Summary
- 2 Demand Summary
- 3 World Autonomous Mobile Robot (AMR) Fleet Management Software Companies Competitive Analysis
- 4 United States VS China VS Rest of World (by Headquarter Location)
- 5 Market Analysis by Type
- 6 Market Analysis by Deployment Mode
- 7 Market Analysis by Function
- 8 Market Analysis by Application
- 9 Company Profiles
- 10 Industry Chain Analysis
- 11 Research Findings and Conclusion
- 12 Appendix
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