Garment Sorting Robot Market

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Infographics Companies
Market Size (2026)
USD 640.6 Mn
Forecast (2036)
USD 2546.9 Mn
CAGR (2026 to 2036)
14.8%

How big is the garment sorting robot market in 2026?

USD 640.6 million in 2026 and USD 2,546.9 million by 2036 at a 14.8% CAGR.

The garment sorting robot market was valued at USD 558.0 million in 2025. It is expected to grow from USD 640.6 million in 2026 to USD 2,546.9 million in 2036 at a CAGR of 14.8%. Apparel warehouses and textile recyclers are moving from manual sorting to workflow-specific cells that can identify labels and manage soft items. AI vision sorting robots are projected to hold a 38.5% share in 2026, driven by garment recognition and label‑reading applications, while size/SKU sorting is expected to secure a 34.0% share as order accuracy becomes a key buyer selection criterion.

Garment Sorting Robot Market Value Analysis
Garment Sorting Robot Market Value Analysis
Metric Value
2026 Market Size USD 640.6 million
2036 Market Size USD 2,546.9 million
Forecast CAGR 14.8% from 2026 to 2036
Leading Robot Type AI Vision Sorting Robots
AI Vision Sorting Robots Share in 2026 38.5%
Leading Sorting Target Size / SKU
Size / SKU Share in 2026 34.0%
Fastest-growing Country India
India CAGR 17.2% by 2036

Summary of the Garment Sorting Robot Market

Market Signal Commercial Impact
Demand and Growth Drivers Garment sorting robot demand is expanding as apparel warehouses and recycling facilities automate sorting to reduce labor costs and improve throughput.
  • Apparel warehouse demand growth is supported by faster item induction for polybagged garments and folded returns.
  • Textile recycling adoption is attributable to stricter sorting requirements before reuse or fiber recovery.
  • Retrofit cell sales are expected to be driven by e-commerce return flows in active fulfillment centers.
  • Market outlook benefits from AMR-connected sort points that reduce fixed-conveyor rebuild risk.
Product and Segment View AI Vision Sorting Robots, Size / SKU sorting, Apparel Warehouses, Retrofit Sorting Cells, and Capex Purchase dominate their respective market segments.
  • AI Vision Sorting Robots are projected to account for 38.5% of 2026 revenue, supported by garment recognition and label-reading applications.
  • Size / SKU sorting is expected to secure 34.0% of 2026 revenue, driven by order accuracy and inventory management requirements.
  • Apparel Warehouses are forecast to represent 41.0% of 2026 revenue, reflecting growing automation across returns processing.
  • Retrofit Sorting Cells are projected to hold 56.0% of 2026 revenue, supported by brownfield warehouse modernization strategies.
  • Capex Purchase is expected to account for 52.0% of 2026 revenue, driven by long-term automation investment planning.
Geography and Growth Outlook India, China, and South Korea are expected to remain high-growth markets as warehouse automation and textile recycling investments increase.
  • India is projected to grow at a 17.2% CAGR (2026–2036), supported by apparel export expansion and phased warehouse automation.
  • China is expected to expand at a 16.5% CAGR (2026-2036), driven by large-scale e-commerce operations and domestic robotics suppliers.
  • South Korea is forecast to grow at a 15.4% CAGR (2026-2036), supported by compact logistics facilities and third-party logistics automation.
Competitive Landscape Competition is increasingly focused on intelligent garment handling, AI vision performance, and seamless warehouse automation integration.
  • ABB and FANUC compete through robotic handling systems designed for apparel induction and automated sorting.
  • TOMRA and Pellenc ST strengthen their positions through advanced optical sorting technologies supporting textile recovery and recycling operations.
Analyst Perspective Garment sorting robots are evolving into workflow automation platforms that improve sorting accuracy, labor efficiency, and warehouse productivity.
  • Industrial buyers increasingly evaluate garment singulation accuracy, label recognition, and routing performance before automation investments.
  • System selection is becoming closely linked with warehouse software integration and automated error recovery capabilities.
  • Suppliers combining AI vision, robotic handling expertise, and warehouse software integration are expected to strengthen customer retention and long-term deployment opportunities.

- Nikhil Kaitwade, Principal Consultant for Industrial Automation at FMI

Automation demand is shaped by wider warehouse robotics spending. ABB lists its Robotic Fashion Inductor for apparel and accessories. The module reaches up to 1,300 picks per hour and more than 99.5% picking accuracy. TOMRA applies near-infrared and visual spectrometry to textile sorting. This gives garment robot demand a textile recycling capacity route. Supplier selection in textile recycling projects is shaped by material recognition that improves pre-processing before fiber recovery.

Which factors support expansion in the garment sorting robot market?

Finished robot cell revenue and retrofit integration work support market value across apparel logistics and textile recovery sites.

  • Market value is supported by robot cells that combine grippers and cameras and safety hardware for soft goods.
  • Supplier pricing reflects vision packages and WMS links before service contracts affect total installed cost.
  • Revenue improves from retailer conversion of manual returns work into automated dock-to-stock workflows.
  • Buyer trust rises after live-site demonstrations show stable handling across garments and polybags.

Why is the garment sorting robot market growing?

Apparel returns and textile recovery sites need faster sorting. They also need better item recognition and lower manual rework.

Growth outlook has become more structured after apparel logistics moved beyond parcel handling. The U.S. Census Bureau reported Q1 2026 retail e-commerce sales of USD 302.3 billion on a not-adjusted basis and a 16.8% share of total retail sales. Buyers often benchmark these systems against broader clothing recycling workflows during textile recovery assessments.

The recycling side is another separate demand route. The European Environment Agency reported in March 2025 that EU Member States generated about 6.94 million tonnes of textile waste in 2022. EU rules entering force in October 2025 require separately collected textiles to undergo sorting before possible shipment. These rules make industrial robotics relevant for repeatable handling and inspection at textile recovery sites.

How is the garment sorting robot market segmented?

The garment sorting robot industry is segmented by robot type and sorting target. End use and deployment define two remaining parent segments. Sales model defines the final parent segment.

  • AI Vision Sorting Robots are projected to secure 38.5% share in 2026 supported by image-based recognition of garment type and labels.
  • Size / SKU sorting is anticipated to hold 34.0% share in 2026 attributable to reshipment and markdown cost controls.
  • Apparel Warehouses are expected to capture 41.0% share in 2026 due to high SKU volume and return-to-stock pressure.
  • Retrofit Sorting Cells are forecast to represent 56.0% share in 2026 supported by brownfield upgrades at active warehouses.
  • Capex Purchase is projected to account for 52.0% share in 2026 attributable to asset control and fixed depreciation planning.

Which robot type category holds a notable share in the garment sorting robot market?

Garment Sorting Robot Market Analysis By Robot Type
Garment Sorting Robot Market Analysis By Robot Type
  • AI Vision Sorting Robots are projected to account for 38.5% share in 2026 supported by label reading and garment recognition.
  • Pick-and-place robots remain relevant in controlled cells that need proven grippers and repeatable item transfer.

How does the sorting target segment perform in the garment sorting robot market?

Garment Sorting Robot Market Analysis By Sorting Target
Garment Sorting Robot Market Analysis By Sorting Target
  • Size / SKU sorting is expected to hold 34.0% share in 2026 attributable to item accuracy in warehouse investment decisions.
  • Defects / Condition sorting gains support from recyclers that need cleaner fractions before reuse or fiber recovery.

What drives demand across the end use segment in the garment sorting robot market?

Garment Sorting Robot Market Analysis By End Use
Garment Sorting Robot Market Analysis By End Use
  • Apparel Warehouses are anticipated to represent 41.0% share in 2026 due to returns and high-SKU order flows.
  • Textile Recycling gains relevance from sorting quality that determines material value before mechanical or chemical recovery.

Which deployment segment shows a prominent position in the garment sorting robot market?

Garment Sorting Robot Market Analysis By Deployment
Garment Sorting Robot Market Analysis By Deployment
  • Retrofit Sorting Cells are projected to hold 56.0% share in 2026 supported by operator preference for upgrades inside live sites.
  • New Automation Lines remain useful for greenfield sites that can design conveyors and safety zones from the start.

How are buyers selecting across sales model options in the garment sorting robot market?

Garment Sorting Robot Market Analysis By Sales Model
Garment Sorting Robot Market Analysis By Sales Model
  • Capex Purchase is estimated to hold 52.0% share in 2026 attributable to enterprise preference for owned assets.
  • Robot-as-a-Service can support mid-sized operators that need trial access before committing capital.

What are the driver, restraints, and opportunities in the garment sorting robot market?

Garment Sorting Robot Market Opportunity Matrix Growth Vs Value
Garment Sorting Robot Market Opportunity Matrix Growth Vs Value

Returns recovery and textile sorting support growth. Soft-goods handling risk slows wider deployment.

  • Driver: Returns recovery favors robots that shorten dock-to-stock time for sellable garments.
  • Restraint: Soft-goods manipulation raises failure risk for loose garments and irregular polybags.
  • Opportunity: Integrator-led retrofits can reach mid-sized warehouses that cannot fund full automation lines.

Garment Sorting Robot Market Demand Outlook

Demand outlook is moving toward cells that prove uptime before scale purchasing. GreyOrange reported a February 2024 fashion case using more than 160 AMRs and mobile sorters to reduce fulfillment time by 50%. This supports stronger buyer interest in Robotics-as-a-Service for smaller apparel sites that want automation without a full capex cycle.

Textile Feedstock Sorting Analysis

Textile feedstock sorting is expected to become a clearer application route after the revised EU Waste Framework Directive entered force in October 2025. The European Commission stated that separately collected textiles must undergo sorting before possible shipment. This requirement improves the case for automated material handling equipment in recycling facilities that need stable pre-processing.

Soft-Goods Handling Constraint

The main restraint remains reliable handling of deformable items. FANUC America shows an apparel induction example that processes 1,800 packages per hour using 3D vision. Buyers still test loose garments and returns bins carefully before they approve material handling equipment projects.

Which countries are growing fastest in the garment sorting robot market?

India 17.2% CAGR, China 16.5% CAGR, South Korea 15.4% CAGR, United States 14.9% CAGR, United Kingdom 14.6% CAGR, France 14.3% CAGR, Germany 13.7% CAGR, and Japan 12.8% CAGR through 2036.

Top Country Growth Comparison Garment Sorting Robot Market Cagr (2026 2036)
Top Country Growth Comparison Garment Sorting Robot Market Cagr (2026 2036)
Country CAGR
India 17.2%
China 16.5%
South Korea 15.4%
United States 14.9%
United Kingdom 14.6%
France 14.3%
Germany 13.7%
Japan 12.8%

Source: Future Market Insights, 2026.

Garment Sorting Robot Market Cagr Analysis By Country
Garment Sorting Robot Market Cagr Analysis By Country

How do country-level CAGRs compare in the garment sorting robot market?

  • India is forecast to record 17.2% CAGR by 2036, supported by apparel export activity, online fashion returns, and phased warehouse automation.
  • China is projected to record 16.5% CAGR by 2036, driven by large e-commerce fulfillment networks and local robotics integration capability.
  • South Korea is estimated to record 15.4% CAGR by 2036, supported by compact logistics facilities, third-party logistics automation, and textile sorting efficiency needs.
  • The United States is expected to record 14.9% CAGR by 2036, led by apparel returns processing, warehouse labor pressure, and textile recovery automation.
  • The United Kingdom is likely to post 14.6% CAGR by 2036, supported by apparel resale, returns recovery, and recycling-led sorting demand.
  • France is expected to record 14.3% CAGR by 2036, supported by circular textile programs, warehouse modernization, and improved garment identification needs.
  • Germany is projected to record 13.7% CAGR by 2036, shaped by logistics automation maturity, industrial integration discipline, and textile recovery workflows.
  • Japan is forecast to record 12.8% CAGR by 2036, driven by labor availability constraints, compact warehouse formats, and automation-led sorting reliability.

What supports garment sorting robot demand in India?

India is forecast to record a 17.2% CAGR through 2036. Growth is supported by apparel export activity, online fashion returns, and phased warehouse automation.

  • Apparel warehouses need faster size/SKU sorting as return volumes and omnichannel order flows increase.
  • Textile recovery sites benefit from repeatable pre-sorting before reuse, resale, or fiber recovery.
  • Retrofit sorting cells help active facilities add automation without rebuilding entire warehouse layouts.

What is shaping garment sorting robot demand in China?

China is projected to record a 16.5% CAGR through 2036. Growth is driven by large e-commerce fulfillment networks and domestic robotics integration capability.

  • High-volume apparel fulfillment creates demand for robot cells that can identify labels, colors, sizes, and SKUs.
  • Local automation suppliers improve access to cameras, grippers, AMRs, and warehouse software integration.
  • Textile recycling capacity adds a second demand route for automated garment recognition and sorting.

How is South Korea performing in the garment sorting robot market?

South Korea is estimated to record a 15.4% CAGR through 2036. Growth is supported by compact logistics facilities, third-party logistics automation, and textile sorting efficiency needs.

  • Dense logistics sites favor compact robot cells that improve throughput without large conveyor rebuilds.
  • Third-party logistics operators need better SKU routing and returns handling for fashion accounts.
  • Automation decisions are influenced by uptime, software integration, and reliable handling of folded or bagged garments.

What is the garment sorting robot outlook in the United States?

The United States is expected to record a 14.9% CAGR through 2036. Growth is led by apparel returns processing, warehouse labor pressure, and textile recovery automation.

  • Retailers and fulfillment operators need faster dock-to-stock workflows for returned apparel.
  • Robotic sorting supports labor planning where manual inspection and SKU routing create bottlenecks.
  • Textile recycling programs strengthen demand for accurate garment identification before downstream processing.

How is the garment sorting robot forecast developing in the United Kingdom?

The United Kingdom is likely to post a 14.6% CAGR through 2036. Growth is supported by apparel resale, returns recovery, and recycling-led sorting demand.

  • Fashion returns and resale workflows require repeatable inspection and routing of mixed garments.
  • Warehouse buyers favor retrofit cells that can be deployed alongside existing fulfillment operations.
  • Textile circularity goals increase interest in sorting systems that improve material recovery quality.

What supports garment sorting robot growth in France?

France is expected to record a 14.3% CAGR through 2036. Growth is supported by circular textile programs, warehouse modernization, and improved garment identification needs.

  • Recycling and reuse workflows require cleaner pre-sorting of garments before resale or material recovery.
  • Automation supports apparel logistics sites that need better item recognition and error reduction.
  • Integrator-led deployments help buyers manage gripper selection, vision setup, and warehouse software links.

How does Germany compare in the garment sorting robot market?

Germany is projected to record a 13.7% CAGR through 2036. Growth is shaped by logistics automation maturity, industrial integration discipline, and textile recovery workflows.

  • Automation buyers focus on reliable handling performance, safety integration, and measurable throughput gains.
  • Textile recovery operators need accurate sorting before mechanical or chemical recycling steps.
  • Warehouse modernization supports demand for cells that connect with AMRs, conveyors, and WMS platforms.

What supports garment sorting robot growth in Japan?

Japan is forecast to record a 12.8% CAGR through 2036. Growth is driven by labor availability constraints, compact warehouse formats, and automation-led sorting reliability.

  • Compact logistics sites need automation that improves sorting consistency without expanding facility footprint.
  • Labor constraints increase interest in robotic assistance for repetitive garment routing and returns handling.
  • Buyers evaluate garment handling reliability closely because deformable items create higher automation risk than rigid parcels.

Who are the leading companies in the garment sorting robot market?

Garment Sorting Robot Market Analysis By Company
Garment Sorting Robot Market Analysis By Company

ABB, FANUC, RightHand Robotics, Berkshire Grey, GreyOrange, Geekplus, TOMRA, Pellenc ST

  • Competition is based on soft-goods picking proof and the ability to run inside live warehouse workflows.
  • Warehouse robotics suppliers compete on AMR fleets and sortation software. Service coverage remains a separate selection factor.
  • Textile recycling specialists compete on material recognition and output purity for reuse or fiber recovery.
  • System integrators remain important for brownfield sites that need safety fencing and WMS connections.

Robotics OEMs and AMR firms compete in separate but overlapping workflows. Their proposals are often compared against conveyor systems before buyers approve a retrofit. Recycling specialists compete on material recognition and feedstock preparation. Buyers compare these systems against inspection robots in applications that need sensing before handling. Companies that show live apparel evidence are better placed than suppliers offering general robot arms only. Buyers are expected to favor vendors that combine grippers and cameras.

How do top garment sorting robot companies compare?

Companies differ by soft-goods picking depth and material recognition. Integration reach and geographic service access shape the final comparison.

Company Soft-Goods Picking Depth Vision and Material Recognition Warehouse or Recycling Integration Geographic Footprint
ABB High Strong Strong Global
FANUC High Strong Strong Global
RightHand Robotics High Strong Medium United States, Japan, Europe
Berkshire Grey High Strong Strong United States, Europe
GreyOrange Medium Strong High United States, India, Europe, Asia
Geekplus Medium Medium High China, Asia, Europe, North America
Hai Robotics Medium Medium High China, Asia, Europe, North America
TOMRA Low High Strong Global
Pellenc ST Low High Strong Europe, Global
NewRetex Low Strong Medium Europe

Source: Future Market Insights competitive analysis, 2026.

Who are the key players in the garment sorting robot market?

The market includes robotics OEMs and AMR platforms. Warehouse automation firms and textile sorting specialists add adjacent competition.

Key global companies leading the garment sorting robot market include:

  • ABB
  • FANUC
  • RightHand Robotics
  • Berkshire Grey
  • GreyOrange
  • Geekplus
  • Hai Robotics
  • TOMRA
  • Pellenc ST
  • NewRetex

Key Developments in Garment Sorting Robot Market

  • In January 2024, RightHand Robotics introduced the RightPick 4 system. The system handled items up to 25% larger and 50% heavier than the earlier version.
  • In March 2025, ABB expanded its robotic item-picking family by adding the Fashion Inductor. The module targets polybagged apparel and accessories at up to 1,300 picks per hour.
  • In April 2024, TOMRA Textiles and Circle-8 agreed to explore an automated textile sorting facility in the United Kingdom. The plan targets non-reusable textile pre-processing.

Key Players in the Garment Sorting Robot Market

Robotic Induction and Piece-Picking Specialists

  • ABB
  • FANUC
  • RightHand Robotics
  • Berkshire Grey

AMR and Warehouse Sorting Platforms

  • GreyOrange
  • Geekplus
  • Hai Robotics
  • Quicktron
  • Addverb

Textile Recycling Sorting Specialists

  • TOMRA
  • Pellenc ST
  • NewRetex
  • Nouvelles Fibers Textiles
  • ANDRITZ Laroche

Garment Sorting Robot Market - Report Scope

Garment Sorting Robot Market Breakdown By Robot Type, Sorting Target, And Region
Garment Sorting Robot Market Breakdown By Robot Type, Sorting Target, And Region
Parameter Details
Forecast period 2026 to 2036
Historical period 2021 to 2025
Quantitative unit Revenue in USD million
By robot type AI Vision Sorting Robots, pick-and-place robots, AMR-linked sorting cells, robotic induction systems
By sorting target Garment type, color, size / SKU, defects / condition
By end use Apparel warehouses, laundry / rental, textile recycling, e-commerce returns
By deployment New automation lines, retrofit sorting cells
By sales model Capex purchase, Robot-as-a-Service, integrator-led
Regions covered North America, Western Europe, East Asia, South Asia and Pacific
Countries covered United States, United Kingdom, Germany, France, Japan, China, South Korea, India
Key companies profiled ABB, FANUC, RightHand Robotics, Berkshire Grey, GreyOrange, Geekplus, Hai Robotics, TOMRA, Pellenc ST, NewRetex
Approach Bottom-up robot-cell approach using installed systems, apparel facility demand, textile sorting policy, supplier portfolios, and country-level automation readiness

Source: Future Market Insights, 2026.

Garment Sorting Robot Market - Scope & Definition

Scope Item Definition
Market Definition Robotic systems that identify, pick, induct, transfer, and sort garments or apparel-linked soft goods across logistics, laundry, recycling, and return workflows.
Functions Covered Identification, singulation, picking, induction, transfer, routing, material recognition, and warehouse-system reporting.
Applications Covered Apparel fulfillment, e-commerce returns, laundry sorting, textile recycling pre-processing, and SKU-level warehouse sorting.
End-Use Industries Apparel warehouses, laundry and rental operators, textile recyclers, e-commerce returns centers, and 3PL fulfillment operators.
Grades Covered Industrial robot cells, AMR-linked sorting cells, robotic induction modules, and integrator-built retrofit systems.
Inclusions AI vision sorting robots, pick-and-place robots, AMR-linked sorting cells, robotic induction systems, and related software or integration packages.
Exclusions General parcel sorters without garment handling capability, sewing robots, fabric cutting machines, basic barcode scanners, and upstream textile production machinery.

Garment Sorting Robot Market - Research Methodology

Methodology Area Approach
Primary Research FMI analysts reviewed buyer input from apparel warehouse operators, textile recyclers, laundry service providers, 3PLs, system integrators, and robotics suppliers.
Desk Research Desk research covered robotics safety standards, company product documents, textile recovery policy, e-commerce statistics, and official trade or industry sources.
Market Sizing & Forecasting The model combined installed robot cells, average system pricing, apparel facility density, textile recycling capacity signals, and country-level automation readiness.
Data Validation Forecasts were validated against supplier portfolios, customer case studies, tender patterns, workflow fit, and adjacent robot demand indicators.

Garment Sorting Robot Market Breakdown by Robot Type, Sorting Target, End Use, Deployment, Sales Model, and Region

Garment Sorting Robot Market Segmented by Robot Type

  • AI Vision Sorting Robots
  • Pick-and-place Robots
  • AMR-linked Sorting Cells
  • Robotic Induction Systems

Garment Sorting Robot Market Segmented by Sorting Target

  • Garment Type
  • Color
  • Size / SKU
  • Defects / Condition

Garment Sorting Robot Market Segmented by End Use

  • Apparel Warehouses
  • Laundry / Rental
  • Textile Recycling
  • E-commerce Returns

Garment Sorting Robot Market Segmented by Deployment

  • New Automation Lines
  • Retrofit Sorting Cells

Garment Sorting Robot Market Segmented by Sales Model

  • Capex Purchase
  • Robot-as-a-Service
  • Integrator-led

Garment Sorting Robot Market by Region

  • North America
  • Western Europe
  • East Asia
  • South Asia and Pacific

Research Sources and Bibliography

  • ABB. (2025, March 11). ABB expands robotic item picking family with new functional modules for fashion and logistics industries.
  • Berkshire Grey. (2024, January 31). Robotic sortation just got better with Berkshire Grey fourth-generation robotic sortation solution.
  • Circle-8 Textile Ecosystems. (2024, April 11). TOMRA Textiles and Circle-8 to explore solutions for a UK circular textile ecosystem.
  • Destatis. (2026, June). Online trade is steadily gaining in importance.
  • European Commission. (2025, October 16). Revised Waste Framework Directive enters into force.
  • European Environment Agency. (2025, March 26). Consumption of clothing, footwear and other textiles in the EU reaches new record high.
  • FANUC America. (2026, June). Warehouse robots and cobots for fulfillment and distribution.
  • Geekplus. (2024, April 14). Geek+ collaborates with Toll Group to launch its first robotics sorting warehouse in Korea.
  • GreyOrange. (2024, February). Leading apparel giant achieves fulfillment excellence.
  • Hai Robotics. (2026, April 10). Turning apparel returns bottlenecks into smoother operations.
  • International Federation of Robotics. (2025, September 25). World Robotics 2025 report: Industrial robots.
  • Invest India. (2026, June). Investment opportunities in textiles and apparel.
  • Ministry of Economy, Trade and Industry. (2025, August 26). Results of FY2024 E-Commerce Market Survey compiled.
  • National Bureau of Statistics of China. (2026, January 20). Total retail sales of consumer goods in December 2025.
  • Pellenc ST. (2025, April 29). Groot MRF and Pellenc ST: A successful partnership.
  • ANDRITZ. (2025, September). Celebrate 100 years of excellence in textile recycling.
  • Press Information Bureau, Government of India. (2025, April 1). Threads of progress.
  • Refashion. (2025, June). Annual activity information on used textiles and shoes collected in 2024.
  • RightHand Robotics. (2024, January 24). RightHand Robotics introduces the RightPick 4 system.
  • Statistics Korea. (2026, February 2). Online shopping in December 2025.
  • TOMRA. (2024, February 7). TOMRA presents textile circular value chain solutions.
  • U.S. Bureau of Labor Statistics. (2026, January 22). Employer-reported workplace injuries and illnesses in 2024 and 2025.
  • U.S. Census Bureau. (2026, May 18). Quarterly retail e-commerce sales report.
  • VDMA. (2026, February 27). Robotics and automation industry remains under pressure.
  • WRAP. (2024, March 31). Textiles market situation report 2024.
  • ZOZO, Inc. (2025, November). Market environment.

This bibliography is provided for reader reference and supports the statistical and company-development evidence used in this report.

This Report Answers

  • Market size estimates for 2026 and forecasts to 2036 for the garment sorting robot market.
  • Analysis of demand drivers and buyer problems related to soft-goods handling barriers.
  • Segmentation insights across robot type and sorting target. End use and deployment are also covered. Sales model receives separate coverage.
  • Country-level growth analysis covers the United States and United Kingdom. Germany and France are also included. Japan and China receive separate coverage. South Korea and India receive separate coverage.
  • Evaluation of apparel warehouse and textile recycling demand routes. Laundry and e-commerce returns are also covered.
  • Assessment of competitive positioning across robotic induction and AMR sorting. Textile recycling specialists are reviewed separately.
  • Review of company developments from 2024 onward that affect product capability and commercial positioning.
  • Definition of included and excluded systems within the garment sorting robot market scope.
  • Research methodology details cover primary research and desk research. Market sizing and data validation are also included.
  • Delivery of market data and forecasts for strategic planning. Supporting analysis informs supplier evaluation.

Frequently Asked Questions

What is the growth prospect for garment sorting robots?

Demand for garment sorting robots is expected to rise with apparel warehouses and textile recyclers automating soft-goods handling.

Which companies are expected to shape the garment sorting robot market?

ABB and FANUC are expected to shape robotic induction competition. RightHand Robotics and Berkshire Grey support soft-goods picking. GreyOrange and Geekplus shape warehouse automation. TOMRA and Pellenc ST shape textile sorting.

Why are apparel warehouses investing in garment sorting robots?

Apparel warehouses are investing to reduce manual induction work and shorten return-to-stock cycles.

Why is textile recycling important in the garment sorting robot market?

Textile recycling creates demand for robots and sensor systems that improve feedstock sorting before reuse or fiber recovery.

Which robot formats are gaining attention in garment sorting?

AI vision sorting robots and AMR-connected sorting cells are gaining attention for SKU recognition and flexible routing.

How do regulations influence garment sorting robot demand?

Regulations influence demand by requiring better sorting of separately collected textiles before shipment or recovery.

Why is software integration important for garment sorting robots?

Software integration is important for reporting item identity and route. Exception data must also reach warehouse systems.

What limits wider adoption of garment sorting robots?

High upfront cost and handling error risk can slow wider adoption. Safety validation and WMS integration work add further approval barriers.

How do sales models differ in this market?

Capex purchase supports large networks. Robot-as-a-Service can help smaller operators test automation before full ownership.

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Future Market Insights

Garment Sorting Robot Market