Autonomous Mobile Robots (AMR) for Fulfillment Market

How big is Autonomous Mobile Robots (AMR) for Fulfillment Market size?

USD 6.8 billion in 2026 and USD 53.9 billion by 2036 at a 23.0% CAGR.

The autonomous mobile robots (AMR) for fulfillment market is estimated to record a 23.0% CAGR from 2026 to 2036, taking valuation from USD 6.8 billion to USD 53.9 billion over the forecast period. Fleet software balances daily distribution workloads by linking active shift missions directly to real-time inventory levels and available warehouse labor. Smart coordination reduces walking times for warehouse staff, helping logistics hubs smoothly handle unpredictable order spikes and changing aisle configurations. Highlighting this increasing adoption, an April 2026 Geekplus announcement recorded more than 66,000 deployed robots globally. Efficient battery management and robust traffic routing remain critical to maximizing the daily output of these autonomous fleets.

Facility managers in the United States and Germany prioritize seamless software interfaces and continuous system uptime. Operators in China and India prefer significant fleet expansions paired with close local engineering support. Global internet access continuously reshapes purchasing habits, keeping order volumes highly unpredictable for both established and brand-new distribution centers. International Telecommunication Union figures from November 2025 estimated 6.0 billion people using internet services during 2025. Such vast online audience drives steady fulfillment infrastructure upgrades, though regional operational preferences vary.

Key Takeaways of Autonomous Mobile Robots (AMR) for Fulfillment Market

• Demand for AMRs in fulfillment is driven by operators evaluating travel reduction and task continuity, with accurate inventory records and balanced stations shaping completed-order gains.
• By component, hardware is expected to lead with 56.0% share in 2026, led by mobile platforms and charging assets.
• 3PL & e-commerce is the dominant end-user segment, projected to hold 40.0% share in 2026, backed by variable client volumes.
• China, the United States, and South Korea are expected to form the higher-growth country tier, advancing at 26.0%, 24.0%, and 23.5% CAGR respectively through 2036, supported by parcel scale, 3PL investment, and mobile commerce activity.
• Competition centers on Locus Robotics, Mobile Industrial Robots, SAFELOG GmbH, Geekplus, and GreyOrange, with vendors differentiating through picking coverage, fleet orchestration, and transport flexibility.

Analyst Perspective

"Autonomous mobile robots create the greatest operational impact when warehouse workflows are redesigned around material movement rather than around the robots themselves. Fulfillment operators are focusing on sustained order throughput, balanced workstation utilization, and traffic coordination as fleets expand across larger facilities. Growth in this market will favor vendors that help customers scale deployments with minimal operational disruption, adapt to changing warehouse layouts, and maintain high fleet availability through effective lifecycle support."

- Nikhil Kaitwade, Principal Consultant for Technology at Future Market Insights

How is Autonomous Mobile Robots (AMR) for Fulfillment Market segmented?

The autonomous mobile robots (AMR) for fulfillment market is segmented by robot type, application, component, end-use industry, business model, and region.

The autonomous mobile robots (AMR) for fulfillment industry is segmented by robot type, application, component, end-use industry, business model, and region. Robot type covers goods-to-person AMRs, point-to-point transport AMRs, pod-lifting systems, roaming pick-assist AMRs, and specialized formats. Application coverage comprises e-commerce fulfillment, retail replenishment, manufacturing intralogistics, contract logistics operations, and other warehouse workflows. Component segmentation covers hardware, fleet management software, and intralogistics automation services. End-use industries comprise 3PL & e-commerce, retail & grocery, consumer goods, pharmaceutical operations, and other fulfillment environments. Business models cover direct purchase, Robotics as a Service, leasing, and pilot programs. Regional assessment spans North America, Latin America, Europe, East Asia, South Asia, Oceania, the Middle East, and Africa.

How do goods-to-person AMRs shape robot type selection?

Goods-to-person AMRs shape robot type selection by reducing picker travel and enabling sequenced inventory presentation. Staffed stations support stable scanning and packing routines across high-volume order profiles. Locus Robotics stated in January 2025 customer sites completed more than 4.0 billion picks during 2024, demonstrating fulfillment scale supported by coordinated person-to-goods fleets.

• Goods-to-person AMRs are expected to account for 36.0% share of robot type in 2026, driven by workstation-based picking and lower travel exposure. Operations teams assess storage release and station balance during fleet design.
• Point-to-point transport AMRs and pod-lifting systems serve different movement patterns. Goods-to-person AMRs are likely to retain selection strength through repeatable item presentation and controlled task sequencing.

Why does e-commerce fulfillment guide application selection?

E-commerce fulfillment guide application selection through variable item mixes and compressed dispatch windows. Mobile fleets redirect missions across active zones without fixed conveyors and belt loaders. Eurostat indicated in February 2026 claiming 17.99% of EU enterprises conducted e-sales only through websites or apps during 2024, reinforcing order-channel activity requiring adaptable fulfillment movement.

• By application, e-commerce fulfillment is anticipated to garner 38.0% share in 2026 since it reflects multi-order picking and changing daily volumes. Operators review fleet response across promotions and cutoff periods.
• Retail replenishment and manufacturing intralogistics address scheduled stock movement and production support. E-commerce fulfillment is forecast to maintain leadership due to frequent order release and high route variability.

Why does hardware retain component leadership?

Hardware is set to retain component leadership as each deployment needs mobile bases and batteries. Safety scanners and charging assets shape available fleet hours across long shifts. Amazon announced in June 2025 its 1,000,000th robot across more than 300 facilities, highlighting physical fleet scale and supporting hardware-focused investment. Amazon claimed DeepFleet could improve robot travel efficiency by 10.0%, linking installed equipment with logistics 4.0 traffic control.

• In 2026, hardware is projected to represent 56.0% share owing to robots and charging infrastructure. Facility teams compare payload capacity and duty cycles during fleet review.
• Software and services support mission allocation and integration planning. Hardware is expected to preserve spending leadership as usable transport capacity requires durable physical assets.

How does 3PL & e-commerce shape end-use industry activity?

DHL Group disclosed in July 2025 more than 750 assisted-picking robots operated across 18 sites, demonstrating multi-site deployment needs among contract logistics operators. 3PL & e-commerce leads end-use activity through fluctuating client volumes and mixed service commitments. Configurable fleets support reassignment across customer programs without permanent transport layouts.

• 3PL & e-commerce is estimated to secure 40.0% share in 2026, guided by order variability and multi-client warehouse operations. Providers compare mission flexibility with service-level commitments.
• Retail & grocery and consumer goods create additional fleet requirements. 3PL & e-commerce is anticipated to retain end-use leadership based on adjustable labor support and changing account volumes.

How does direct purchase maintain business model strength?

Direct purchase is forecast to maintain business model strength among facilities carrying stable workloads and internal maintenance resources. Ownership supports long asset planning and direct control over fleet configuration. International Federation of Robotics published figures in October 2025 showing robotics-as-a-service fleets expanded 31.0% during 2024, supporting flexible commercial models along with direct fleet ownership.

• Based on business model, direct purchase is expected to capture 40.0% share in 2026, as increase in preferences for predictable utilization and asset ownership. Buyers review system life and service costs across expected operating periods.
• Robotics as a service and leasing reduce initial capital exposure. Direct purchase is projected to preserve commercial strength among operators seeking direct fleet governance and long operating horizons.

What are drivers, restraints, and opportunities in autonomous mobile robots (AMR) for fulfillment market?

AMR selection is suggested to be driven by variable order flows and repetitive travel reduction. Integration gaps and congested routes are likely to restrict realized output.

• Driver: Fulfillment teams seek mobile transport capacity across shifting picking and replenishment priorities.
• Restraint: Weak inventory accuracy and incomplete traffic planning may interrupt mission completion.
• Opportunity: Fleet analytics may improve slotting and labor allocation across connected warehouse zones.

Sustained parcel activity and frequent order releases support continued market expansion. United States Postal Service documented in February 2026 noting 1.77 billion shipping and package pieces during its first fiscal quarter, encouraging fulfillment operators to review flexible internal transport capacity.

Occupational Safety and Health Administration recorded in its 2024 annual report stating 860 severe injury reports across transportation and warehousing, reinforcing careful route design and worker interaction reviews during AMR deployment. Safety exposure and incomplete process control in shared work areas limit broader implementation.

Workflow software connecting robot missions with live picking priorities creates further scope for operational improvement.

What country CAGRs are profiled in Autonomous Mobile Robots (AMR) for Fulfillment Market?

Country or Market	CAGR
China	26.0%
United States	24.0%
South Korea	23.5%
European Union	22.0%
Japan	20.5%

Source: Future Market Insights analysis, 2026.

How do country-level CAGRs compare in autonomous mobile robots (AMR) for fulfillment market?

The country comparison spans 5.5 percentage points across the autonomous mobile robots (AMR) for fulfillment market. China records the highest CAGR at 26.0%, followed by the United States at 24.0%. South Korea reaches 23.5%, the European Union 22.0% and Japan 20.5%. The ranking reflects different levels of warehouse automation, fulfillment network expansion and adoption of AI-enabled material handling systems.

• China leads with a CAGR of 26.0%. Fulfillment operators are expanding the use of autonomous mobile robots to improve order movement, optimize warehouse traffic and increase throughput across large distribution facilities handling high order volumes.
• The United States follows at 24.0%, 2.0 percentage points below China. Investment continues across e-commerce and third-party logistics facilities where AMRs are deployed to shorten travel distances, improve picking efficiency and support flexible warehouse operations.
• South Korea records a CAGR of 23.5%, only 0.5 percentage points behind the United States. Distribution centers are integrating AMRs with warehouse management systems to automate internal transport, improve space utilization and increase operational consistency.
• The European Union posts a CAGR of 22.0%, 1.5 percentage points below South Korea. Warehouse automation projects increasingly include AMRs for fulfillment activities, although implementation differs among member states because logistics infrastructure, labor availability and investment priorities are not uniform.
• Japan reaches a CAGR of 20.5%, 1.5 percentage points behind the European Union. Market adoption is associated with fulfillment operations seeking more efficient goods movement, continuous warehouse workflows and greater automation in response to changing logistics requirements.

Comparable CAGRs do not indicate identical market conditions. Differences in fulfillment network design, warehouse automation maturity, labor economics and capital investment strategies influence deployment decisions and long-term commercial opportunities. The full report provides country-level CAGR analysis across North America, Latin America, Europe, East Asia, South Asia, Oceania and the Middle East and Africa.

Country-wise Analysis

Parcel activity and warehouse technology readiness determine country-level expansion patterns. Labor conditions and integration capability create further separation among profiled countries. China and United States lead profiled rates through fulfillment scale and multi-site automation programs. South Korea and European Union follow through connected commerce and coordinated warehouse systems. Japan records a measured pace as compact facilities require careful deployment planning and dependable technical support.

• Industry in China is anticipated to expand at 26.0% CAGR between 2026 and 2036, led by parcel volumes and domestic warehouse automation capability. Large distribution networks create suitable conditions for staged fleet deployment across several facilities. State Council of China stated in January 2026 announcing for postal operations having processed 216.5 billion delivery items during 2025, increasing pressure for automated sorting and internal goods movement.
• United States Bureau of Labor Statistics recorded warehousing and storage adding 10,000 positions during April 2025 in a May 2025 release, illustrating active staffing needs across facilities evaluating labor-support robotics. Persistent labor requirements encourage operators to compare mobile fleets with conventional staffing models. Autonomous mobile robots (AMR) for fulfillment market in United States are projected to rise at 24.0% CAGR through 2036, driven by e-commerce scale and 3PL modernization.
• Sector in South Korea is expected to progress at 23.5% CAGR over study period, guided by mobile commerce and dense urban fulfillment requirements. High urban order density supports compact robot fleets across space-constrained distribution facilities. Ministry of Science and ICT outlined in April 2025 noting overseas purchasing among 34.3% of internet users during 2024, supporting compact fleet deployment across order-intensive fulfillment operations.
• Eurostat indicated in May 2026 enterprise resource planning use among 46.45% of EU enterprises during 2025, strengthening system readiness for fleet and inventory data exchange. Enterprise software familiarity supports clearer mission exchange between robots and warehouse management systems. Sales across European Union are forecast to expand at 22.0% CAGR between 2026 and 2036, backed by coordinated warehouse software integration.
• Autonomous mobile robots (AMR) for fulfillment sector in Japan are estimated to grow at 20.5% CAGR by 2036, shaped by compact facilities and careful integration practices. Frequent online ordering supports disciplined fleet planning across established distribution facilities. Statistics Bureau of Japan published in 2025 figures showing 55.3% of two-or-more-person households used internet shopping during 2024, reflecting fulfillment automation reviews across online merchandise operations.

What companies Participate in Autonomous Mobile Robots (AMR) for Fulfillment Market?

Locus Robotics is expected to influence fulfillment workflow selection. Mobile Industrial Robots and SAFELOG GmbH are anticipated to support internal transport programs. Geekplus and GreyOrange are projected to compete through goods movement software and expandable fleets. Exotec and HAI ROBOTICS are likely to support storage-to-person automation. OMRON Corporation and OTTO Motors by Rockwell Automation are estimated to add industrial transport depth.

Competition in autonomous mobile robots (AMR) for fulfillment is anticipated to center on mission coverage and system integration. Mobile Industrial Robots is projected to compete depending on in-plant logistics and integrator relationships. SAFELOG GmbH is likely to support modular fleet expansion across European warehouse operations. Geekplus and GreyOrange are anticipated to gain review through goods-to-person and order orchestration capabilities. Exotec and HAI ROBOTICS are expected to compete across storage and retrieval workflows. OMRON Corporation and OTTO Motors by Rockwell Automation are forecast to support facilities requiring industrial-grade movement and service coverage.

• Locus Robotics shape picking workflows led by robots and orchestration software. Account teams compare deployment speed and exception handling.
• Mobile Industrial Robots and SAFELOG GmbH compete due to point-to-point transport and fleet flexibility. Integrator access influences site expansion.
• Geekplus and GreyOrange support expandable goods movement across retail and 3PL facilities. Software compatibility guides evaluation.
• Exotec and HAI ROBOTICS strengthen storage-to-person selection. OMRON Corporation and OTTO Motors by Rockwell Automation add industrial transport depth.

Competitive Benchmarking: Autonomous Mobile Robots (AMR) for Fulfillment Market

Company	Portfolio Depth	Fulfillment Match	Service Support	Service Reach
Locus Robotics	High	High	High	North America, Europe and global
Mobile Industrial Robots	High	Medium	High	Europe and global
SAFELOG GmbH	Medium	High	Medium	Europe
Geekplus	High	High	High	Asia, Europe and global
GreyOrange	High	High	High	United States, India and global
Exotec	High	High	High	Europe, North America and global
HAI ROBOTICS	High	High	High	Asia, Europe and global
OMRON Corporation	High	Medium	High	Japan and global
OTTO Motors by Rockwell Automation	High	Medium	High	North America and global

Source: Future Market Insights competitive analysis, 2026.

Key Developments in Autonomous Mobile Robots (AMR) for Fulfillment Market

• In February 2025, Mobile Industrial Robots disclosed a global commercial partnership with Matthews International. Mobile Industrial Robots stated combined AMRs and warehouse execution capabilities were expected to streamline integrated picking, packing, and material movement, supporting operators seeking coordinated automation through one implementation path.
• In March 2026, Locus Robotics recorded its 7.0 billionth robot-assisted pick, and in April 2026, formally launched the Locus Array system with initial deployments at customer sites including DHL Supply Chain.Locus Robotics claimed pick volume and robots-to-goods deployment indicated expanding fulfillment coverage, encouraging multi-workflow fleet planning across established customer sites.

Key Players in Autonomous Mobile Robots (AMR) for Fulfillment Market

Fulfillment picking and orchestration specialists

• Locus Robotics
• Geekplus
• GreyOrange

Storage-to-person automation providers

• Exotec
• HAI ROBOTICS
• SAFELOG GmbH

Internal transport and industrial AMR providers

• Mobile Industrial Robots
• OMRON Corporation
• OTTO Motors by Rockwell Automation

Autonomous Mobile Robots (AMR) for Fulfillment Market - Report Scope

Coverage field	Report scope
Market breakdown	Autonomous mobile robots (AMR) for fulfillment breakdown by robot type, application, component, end-use industry, business model, and region
Market Definition	Fulfillment AMRs include mobile robots using onboard navigation, fleet software for inventory movement, order picking support, replenishment, and internal transport.
Regions Covered	North America, Latin America, Europe, East Asia, South Asia, Oceania, Middle East, and Africa
Countries Covered	United States, China, South Korea, European Union, Japan, Canada, Brazil, Mexico, Germany, United Kingdom, France, Italy, Spain, India, Australia, New Zealand, GCC countries, South Africa, and Türkiye
Key Companies Profiled	Locus Robotics, Mobile Industrial Robots, SAFELOG GmbH, Geekplus, GreyOrange, Exotec, HAI ROBOTICS, OMRON Corporation, and OTTO Motors by Rockwell Automation
Forecast Period	2026 to 2036
Approach	Hybrid bottom-up and top-down methodology using segment shares, country CAGRs, fleet installations, fulfillment workflows, software integration, company activity, and service coverage

Source: Future Market Insights analysis, 2026.

Autonomous Mobile Robots (AMR) for Fulfillment Market - Research Methodology

Method	Approach
Primary Research	FMI analysts gathered input from manufacturers, service providers, technology developers, distributors, end users, procurement teams, and subject-matter experts. Interviews examined purchasing decisions, product or service evaluation, adoption barriers, approval requirements, pricing considerations, and expectations for technical or commercial support. Respondents were also asked what evidence is required before a trial, pilot, or initial order develops into regular purchasing.
Desk Research	Desk research covered government statistics, regulatory publications, trade data, industry associations, technical literature, standards, company filings, product information, and official corporate announcements. Sources were reviewed for relevance, publication date, geographic coverage, and consistency with the defined market scope. Claims relating to performance, applications, approvals, capacity, investment, and commercial activity were retained only when supported by credible public evidence.
Market Sizing and Forecasting	The market model combined the baseline value with historical performance, segment structure, pricing and volume indicators, adoption levels, company participation, and country-level demand conditions. Forecast assumptions considered economic activity, investment trends, regulatory developments, technology adoption, purchasing cycles, supply availability, and barriers to wider market use. Segment and regional estimates were reconciled before the final market total was calculated.
Data Validation	Estimates were checked against multiple independent indicators, including public data, company activity, trade patterns, industry developments, and findings from primary interviews. Validation also tested whether products, services, applications, and company revenues fell within the defined market boundaries. Adjacent categories, unsupported claims, overlapping revenues, and activities without direct market relevance were excluded to reduce double counting and maintain consistency across segments and countries.

Autonomous Mobile Robots (AMR) for Fulfillment Market by Segments

Autonomous mobile robots (AMR) for fulfillment segmented by robot type:

• Goods-to-person AMRs
• Transport or point-to-point AMRs
• Shelf or pod-lifting robots
• Roaming pick-assist AMRs
• Others

Autonomous mobile robots (AMR) for fulfillment segmented by application:

• E-commerce fulfillment
• Retail replenishment
• Manufacturing intralogistics
• 3PL operations
• Others

Autonomous mobile robots (AMR) for fulfillment segmented by component:

• Hardware
• Software including fleet management and AI
• Services

Autonomous mobile robots (AMR) for fulfillment segmented by end-use industry:

• 3PL & e-commerce
• Retail & grocery
• Consumer goods
• Pharma
• Others

Autonomous mobile robots (AMR) for fulfillment segmented by business model:

• Direct purchase
• Robotics as a service
• Lease
• Pilot programs

Autonomous mobile robots (AMR) for fulfillment by region:

• North America
  • United States
  • Canada
• Latin America
  • Brazil
  • Mexico
  • Argentina
• Europe
  • European Union
  • Germany
  • United Kingdom
  • France
  • Italy
  • Spain
• East Asia
  • China
  • Japan
  • South Korea
• South Asia
  • India
  • Thailand
  • Indonesia
  • Oceania
  • Australia
  • New Zealand
• Middle East and Africa
  • GCC countries
  • South Africa
  • Türkiye

Research Sources and Bibliography

• Geekplus. (2026, April 27). Geekplus brings pioneering ‘Geekplus Brain’ embodied intelligence and integrated robotics platform to LogiMAT 2026.
• International Telecommunication Union. (2025, November 17). ITU’s Facts and Figures 2025 shows steady progress in global connectivity.
• Locus Robotics. (2025, January 3). Warehouse automation reflections for 2024 and what lies ahead in 2025: Part 1/3.
• Eurostat. (2026, February). E-commerce statistics.
• Amazon. (2025, June 30). Amazon deploys over 1 million robots and launches new AI foundation model.
• DHL Group. (2025, July 9). DHL to deploy 1,000+ additional robots across UK operations to support business growth in e-commerce and life sciences health care sector.
• International Federation of Robotics. (2025, October 7). World Robotics 2025 report - Service robots - released by IFR.
• United States Postal Service. (2026, February 5). Quarter I, 2026 report on Form 10-Q.
• Occupational Safety and Health Administration. (2024). 2024 annual report of severe injuries and illnesses reported from employers covered by federal OSHA.
• Zebra Technologies. (2025, October 8). ODW Logistics expects to improve pick rates by 42% with Zebra Technologies.
• State Council of the People’s Republic of China. (2026, January 7). China’s postal delivery volume hits 216.5 billion items in 2025.
• United States Bureau of Labor Statistics. (2025, May 2). Current Employment Statistics highlights, April 2025.
• Ministry of Science and ICT. (2025, April 4). MSIT unveils 2024 internet usage trends.
• Eurostat. (2026, May). E-business integration.
• Statistics Bureau of Japan. (2025). Statistical handbook of Japan 2025.
• Zebra Technologies. (2025, January 30). Zebra Technologies expands Symmetry Fulfillment solution to increase productivity with 30% fewer robots.
• Mobile Industrial Robots. (2025, February 11). MiR announces global commercial partnership with Matthews International to deliver next-generation warehouse automation solutions.
• Locus Robotics. (2026, March 23). Seven billion picks later, warehouse automation is accelerating.

This bibliography coverage supports reader reference without claiming exhaustive source disclosure. Full report access includes detailed supporting citations and model documentation.

This Report Answers

• What segments shape autonomous mobile robots (AMR) for fulfillment across robot type and application?
• How do component and end-use industry shares influence fleet investment planning?
• How do country CAGRs differ across profiled fulfillment markets?
• What companies compete through robots and fleet orchestration software?
• How are forecasts validated through hybrid bottom-up and top-down methods?
• What factors affect account expansion across multi-site AMR programs?
• How do traffic control and inventory accuracy influence mission completion?
• What limits return on investment for teams scaling fulfillment robots?
• How do service coverage and integration records influence vendor review?
• What supplier capabilities support long-term account confidence?