창고 로보틱스 : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the warehouse robotics market size is expected to grow from USD 9.33 billion in 2025 to USD 10.96 billion in 2026 and is forecast to reach USD 24.55 billion by 2031 at 17.5% CAGR over 2026-2031.

This report is Segmented by Type (Industrial Robots, Sortation Systems, and More), Function (Storage, Packaging, and More), Component (Hardware, Software, and Support and Services), End-User Industry (Food and Beverage, Automotive, Retail and E-Commerce, Electrical and Electronics, Pharmaceutical, 3PL, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Warehouse Robotics Market Trends and Insights

E-commerce SKU Proliferation and Same-Day-Delivery Pressure

Amazon now juggles more than 350 million active SKUs, a scale that overwhelms manual pickers and demands robotic confidence in grasping dissimilar shapes. Same-day commitments shrink cycle times to under four hours in major metros, so fulfillment nodes deploy AMRs that triple order-processing speed during peak events. Seasonal spikes can push volumes 500%, rendering manual flex-labor models cost-prohibitive. Goods-to-person systems erase unproductive employee travel, while AI inventory-placement tools cut average pick paths 60%. Regulators enforce truthful delivery-promise disclosure, compelling operators to harden throughput guarantees with robotic capacity.

Rising Investments by 3PLs and Retailers in AMRs and AS/RS

DSV earmarked USD 50 million to roll out AMRs across European sites, unlocking density gains of 85% and shielding margins from urban rent inflation. Walmart matched with a USD 1 billion automation pledge that widens adoption of micro-fulfillment centers embedded in existing stores. Robots-as-a-service schemes lower entry thresholds by shifting spend from CAPEX to variable fees per pick. ISO 3691-4 driverless-truck standards give risk-averse logistics managers a compliance roadmap, accelerating green-lighting of AMR pilot projects.

High CAPEX and Integration Cost for Brownfield Retrofits

Retrofitting legacy sites costs 60-80% more than greenfield builds because aisles, mezzanines, and electrical services rarely align with robot envelopes. Projects often trigger USD 2 million in wiring, floor leveling, and software-interface expenses. Every week of installation downtime can forfeit USD 50,000 in throughput revenue, so operators stagger rollouts in micro-phases that preserve live lanes. Vendors now push modular pods that fit inside existing racks, trimming upfront cash burn and easing board-level approvals.

Other drivers and restraints analyzed in the detailed report include:

1. Shrinking Warehouse Labor Pool in OECD Economies
2. AI-Powered Vision Enabling Robotic Picking of Difficult SKUs
3. Fragmented Safety and Data-Privacy Regulations by Region

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Mobile platforms edge forward with an 18.02% CAGR to 2031, eclipsing fixed industrial units for greenfield fulfillment projects. The warehouse robotics market size for mobile robots is projected to reach USD 10.74 billion by 2031 as retailers value layout agility that supports frequent SKU resets. Industrial six-axis arms still own heavy palletizing with 34.02% share, yet conveyor-less AMR strategies cut infrastructure costs 70% and shrink commissioning times from months to weeks. Parcel hubs favor high-speed sortation systems that already handle 40% more packages than pre-2024 baselines, while cube-based AS/RS lifts storage density fourfold in urban footprints. Integration layers now orchestrate mobile fleets, shuttles, and lifts under one scheduler to prevent aisle congestion and balance work queues.

The warehouse robotics market continues to showcase hybrid deployments where AMRs ferry totes to stationary arm clusters for high-dexterity picks. AI route engines re-plan paths every second to dodge obstacles and reduce robot idle to under 10%. Vendors position large-format floor AMRs for case movement and compact swarm bots for goods-to-person tasks, maximizing cube utilization. Industrial palletizers gain embedded vision that trims pattern design times 25% and improves load stability, vital for fragile EV battery packs. Collectively, multi-modal fleets future-proof operations against product-mix volatility.

Storage still dominates with 38.05% slice of 2025 revenue, yet picking and sorting drives incremental value and will post an 18.11% CAGR to 2031. The warehouse robotics market share for advanced picking systems rises as goods-to-person principles cut worker walk distances 75%. Dynamic slotting algorithms reposition inventory overnight based on forecast demand, shrinking average pick span to 30 seconds. Edge latency now measures below 30 milliseconds, letting robots recalculate optimal routes mid-mission. Cross-dock nodes invest in robotic sorters that process e-commerce returns and re-inject goods into outbound flows the same day, limiting markdown erosion.

Predictive analytics tie demand data to AS/RS shuttle assignments, pushing high-velocity SKUs near ergonomic pick stations and lowering daily cycle-count labor. Robotics packaging cells adapt box size in real time, cutting corrugate waste 15% and optimizing truck fill rates. Split-case automation gains traction in grocery fulfillment where variable weight items challenge conveyor pacing. Operators view picking performance as the rate-limiting step, and capital therefore gravitates toward vision-equipped end-effectors and autonomous carts that close the gap.

Complete Report Scope:

• By Type
  • Industrial Robots
  • Sortation Systems
  • Conveyors
  • Palletizers
  • Automated Storage and Retrieval Systems (AS/RS)
  • Mobile Robots (AGVs and AMRs)
• By Function
  • Storage
  • Packaging
  • Trans-shipment
  • Picking and Sorting
• By Component
  • Hardware
  • Software
  • Support and Services
• By End-user Industry
  • Food and Beverage
  • Automotive
  • Retail and E-commerce
  • Electrical and Electronics
  • Pharmaceutical
  • Third-Party Logistics (3PL)
  • Other End-user Industries
• By Geography
  • North America
    • United States
    • Canada
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • India
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

Asia Pacific retained 39.52% of global revenue in 2025 and is tracking an 17.94% CAGR to 2031 as Chinese makers export aggressively and regional wages climb. Local champions such as Geek+ shipped record volumes while Japan turned to robotics to offset an aging workforce and South Korea integrated AS/RS with smart factories under national industrial policy. India enters an acceleration phase on the back of government-backed automation subsidies that attract foreign direct investment.

North America ranks second and remains a bellwether for venture-backed innovation, channeling more than USD 2 billion into warehouse automation startups during 2024. U.S. big-box retailers pioneer micro-fulfillment and dark-store concepts, while Canada's Toronto-Vancouver corridor scales robotics to relieve labor scarcity. Mexico benefits from near-shoring and deploys AMR-ready warehouses that cut landed costs for U.S. importers by 25%.

Europe lags headline growth yet maintains steady adoption. Germany leans on Industry 4.0 grants to fund integrated logistics cells for automotive suppliers. The United Kingdom prioritizes flexible systems that can realign to post-Brexit customs flows. France and the Netherlands act as pan-European gateways, investing in cube-storage to mitigate land constraints. The EU's forthcoming AI Act will raise compliance costs yet elevate safety baselines, favoring established vendors with proven records.

1. ABB Ltd.
2. Amazon Robotics LLC
3. TGW Logistics Group GmbH
4. ST Engineering Ltd. (Aethon Inc.)
5. inVia Robotics, Inc.
6. FANUC Corporation
7. Honeywell International Inc.
8. Toshiba Corporation
9. OMRON Corporation
10. Yaskawa Electric Corporation
11. KUKA AG
12. Fetch Robotics, Inc. (Zebra)
13. Geekplus Technology Co., Ltd.
14. GreyOrange Pte. Ltd.
15. Hangzhou Hikrobot Technology Co., Ltd.
16. Syrius Robotics Co., Ltd.
17. Locus Robotics Corp.
18. Daifuku Co., Ltd.
19. Dematic Corp. (KION Group AG)
20. Swisslog Holding AG
21. Boston Dynamics, Inc.
22. Exotec SAS
23. Symbotic Inc.
24. Teradyne, Inc. (Mobile Industrial Robots A/S)
25. Zebra Technologies Corporation

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 E-commerce SKU proliferation and same-day-delivery pressure
  • 4.2.2 Rising investments by 3PLs and retailers in AMRs and AS/RS
  • 4.2.3 Shrinking warehouse labor pool in OECD economies
  • 4.2.4 AI-powered vision enabling robotic picking of "difficult" SKUs
  • 4.2.5 Edge-based fleet orchestration cuts downtime and boosts ROI
  • 4.2.6 Carbon-neutral warehousing mandates favor low-energy robots
• 4.3 Market Restraints
  • 4.3.1 High CAPEX and integration cost for brownfield retrofits
  • 4.3.2 Fragmented safety and data-privacy regulations by region
  • 4.3.3 Cyber-physical security vulnerabilities in fleet software
  • 4.3.4 Lithium-ion battery supply volatility affects AMR BOM costs
• 4.4 Industry Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Buyers
  • 4.7.2 Bargaining Power of Suppliers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitute Products
  • 4.7.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Type
  • 5.1.1 Industrial Robots
  • 5.1.2 Sortation Systems
  • 5.1.3 Conveyors
  • 5.1.4 Palletizers
  • 5.1.5 Automated Storage and Retrieval Systems (AS/RS)
  • 5.1.6 Mobile Robots (AGVs and AMRs)
• 5.2 By Function
  • 5.2.1 Storage
  • 5.2.2 Packaging
  • 5.2.3 Trans-shipment
  • 5.2.4 Picking and Sorting
• 5.3 By Component
  • 5.3.1 Hardware
  • 5.3.2 Software
  • 5.3.3 Support and Services
• 5.4 By End-user Industry
  • 5.4.1 Food and Beverage
  • 5.4.2 Automotive
  • 5.4.3 Retail and E-commerce
  • 5.4.4 Electrical and Electronics
  • 5.4.5 Pharmaceutical
  • 5.4.6 Third-Party Logistics (3PL)
  • 5.4.7 Other End-user Industries
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
  • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
  • 5.5.3 Europe
    • 5.5.3.1 Germany
    • 5.5.3.2 United Kingdom
    • 5.5.3.3 France
    • 5.5.3.4 Italy
    • 5.5.3.5 Rest of Europe
  • 5.5.4 Asia-Pacific
    • 5.5.4.1 China
    • 5.5.4.2 Japan
    • 5.5.4.3 South Korea
    • 5.5.4.4 India
    • 5.5.4.5 Rest of Asia-Pacific
  • 5.5.5 Middle East and Africa
    • 5.5.5.1 Middle East
      • 5.5.5.1.1 Saudi Arabia
      • 5.5.5.1.2 United Arab Emirates
      • 5.5.5.1.3 Turkey
      • 5.5.5.1.4 Rest of Middle East
    • 5.5.5.2 Africa
      • 5.5.5.2.1 South Africa
      • 5.5.5.2.2 Nigeria
      • 5.5.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 ABB Ltd.
  • 6.4.2 Amazon Robotics LLC
  • 6.4.3 TGW Logistics Group GmbH
  • 6.4.4 ST Engineering Ltd. (Aethon Inc.)
  • 6.4.5 inVia Robotics, Inc.
  • 6.4.6 FANUC Corporation
  • 6.4.7 Honeywell International Inc.
  • 6.4.8 Toshiba Corporation
  • 6.4.9 OMRON Corporation
  • 6.4.10 Yaskawa Electric Corporation
  • 6.4.11 KUKA AG
  • 6.4.12 Fetch Robotics, Inc. (Zebra)
  • 6.4.13 Geekplus Technology Co., Ltd.
  • 6.4.14 GreyOrange Pte. Ltd.
  • 6.4.15 Hangzhou Hikrobot Technology Co., Ltd.
  • 6.4.16 Syrius Robotics Co., Ltd.
  • 6.4.17 Locus Robotics Corp.
  • 6.4.18 Daifuku Co., Ltd.
  • 6.4.19 Dematic Corp. (KION Group AG)
  • 6.4.20 Swisslog Holding AG
  • 6.4.21 Boston Dynamics, Inc.
  • 6.4.22 Exotec SAS
  • 6.4.23 Symbotic Inc.
  • 6.4.24 Teradyne, Inc. (Mobile Industrial Robots A/S)
  • 6.4.25 Zebra Technologies Corporation

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-need Assessment