Global Autonomous Mobile Robot (AMR) Fleet Management Software Market Growth (Status and Outlook) 2026-2032
Description
The global Autonomous Mobile Robot (AMR) Fleet Management Software market size is predicted to grow from US$ 177 million in 2025 to US$ 583 million in 2032; it is expected to grow at a CAGR of 18.7% from 2026 to 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.
LPI (LP Information)' newest research report, the “Autonomous Mobile Robot (AMR) Fleet Management Software Industry Forecast” looks at past sales and reviews total world Autonomous Mobile Robot (AMR) Fleet Management Software sales in 2025, providing a comprehensive analysis by region and market sector of projected Autonomous Mobile Robot (AMR) Fleet Management Software sales for 2026 through 2032. With Autonomous Mobile Robot (AMR) Fleet Management Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Autonomous Mobile Robot (AMR) Fleet Management Software industry.
This Insight Report provides a comprehensive analysis of the global Autonomous Mobile Robot (AMR) Fleet Management Software landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Autonomous Mobile Robot (AMR) Fleet Management Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Autonomous Mobile Robot (AMR) Fleet Management Software market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Autonomous Mobile Robot (AMR) Fleet Management Software and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Autonomous Mobile Robot (AMR) Fleet Management Software.
This report presents a comprehensive overview, market shares, and growth opportunities of Autonomous Mobile Robot (AMR) Fleet Management Software market by product type, application, key players and key regions and countries.
Segmentation by Type:
Task Scheduling Type
Path Optimization Type
Data Analysis Type
Segmentation by Deployment Mode:
Localized Deployment
Cloud-based SaaS Service
Hybrid Deployment
Segmentation by Function:
Task Management and Order Dispatch
Map Management and Navigation
Others
Segmentation by Application:
Logistics Industry
Manufacturing Industry
Medical Industry
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
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
Please note: The report will take approximately 2 business days to prepare and deliver.
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.
LPI (LP Information)' newest research report, the “Autonomous Mobile Robot (AMR) Fleet Management Software Industry Forecast” looks at past sales and reviews total world Autonomous Mobile Robot (AMR) Fleet Management Software sales in 2025, providing a comprehensive analysis by region and market sector of projected Autonomous Mobile Robot (AMR) Fleet Management Software sales for 2026 through 2032. With Autonomous Mobile Robot (AMR) Fleet Management Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Autonomous Mobile Robot (AMR) Fleet Management Software industry.
This Insight Report provides a comprehensive analysis of the global Autonomous Mobile Robot (AMR) Fleet Management Software landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Autonomous Mobile Robot (AMR) Fleet Management Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Autonomous Mobile Robot (AMR) Fleet Management Software market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Autonomous Mobile Robot (AMR) Fleet Management Software and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Autonomous Mobile Robot (AMR) Fleet Management Software.
This report presents a comprehensive overview, market shares, and growth opportunities of Autonomous Mobile Robot (AMR) Fleet Management Software market by product type, application, key players and key regions and countries.
Segmentation by Type:
Task Scheduling Type
Path Optimization Type
Data Analysis Type
Segmentation by Deployment Mode:
Localized Deployment
Cloud-based SaaS Service
Hybrid Deployment
Segmentation by Function:
Task Management and Order Dispatch
Map Management and Navigation
Others
Segmentation by Application:
Logistics Industry
Manufacturing Industry
Medical Industry
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
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
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
117 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 Autonomous Mobile Robot (AMR) Fleet Management Software Market Size by Player
- 4 Autonomous Mobile Robot (AMR) Fleet Management Software by Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Global Autonomous Mobile Robot (AMR) Fleet Management Software Market Forecast
- 11 Key Players Analysis
- 12 Research Findings and Conclusion
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