자동 자재 취급(AMH) 시장 : 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the automated material handling market size was valued at USD 70.68 billion in 2025 and estimated to grow from USD 79.25 billion in 2026 to reach USD 140.6 billion by 2031, at a CAGR of 12.12% during the forecast period (2026-2031).

This report Segments the Industry Into Product Type (Hardware, Software, and Services), Equipment Type (Mobile Robots, Automated Storage and Retrieval Systems, Automated Conveyors, and More), End User (Airports, Automotive, Food and Beverages, Retail/Warehousing/Distribution, General Manufacturing, and More), Function (Storage, Transport and Tow, Picking and Placing, and More), and Geography.

Global Automated Material Handling (AMH) Market Trends and Insights

E-commerce Fulfillment Intensity Surge

Micro-fulfillment centers reshaped order-fulfillment economics, enabling 2-hour delivery windows in spaces as small as 2,000 ft2 Grocery chains using shuttle automation processed 5,000 order lines daily at 99.99% accuracy levels unattainable with manual. The food and beverage sector integrated temperature-controlled automation to satisfy HACCP requirements. Direct-to-consumer models intensified demand for flexible systems able to scale with seasonal SKU spikes, transforming automation from a cost lever into a competitive differentiator. Retailers that automated last-mile nodes secured customer loyalty by meeting delivery promises that traditional warehouses could not sustain.

Industry 4.0-Linked Capex Cycles in Brown-Field Plants.

Manufacturers layered cyber-physical systems onto legacy material-handling assets, creating hybrid workflows that lifted assembly-line efficiency by 33% while cutting labor costs 64%. Digital twin simulations reduced downtime risk and sharpened capital allocation. Pharmaceutical facilities expanded storage capacity 60% while maintaining GMP compliance and temperature integrity through sophisticated brownfield retrofits. The second-wave capex cycle thus focused on interoperability and scalability rather than wholesale equipment replacement, allowing mature plants to unlock Industry 4.0 benefits without dismantling existing flows.

High Upfront Integration and Retrofit Costs

Comprehensive warehouse automation required USD 2-4 million, a hurdle for mid-market firms. Brownfield sites faced added complexity as operations continued during installation, inflating custom-interface expenses. Robotics-as-a-Service schemes such as BALYO's reduced capital outlays and promised 30% opex savings under performance-based invoicing. Yet adoption remained cautious due to lock-in fears and higher lifetime costs. Temperature-controlled environments saw capital needs double, prompting SMEs to adopt modular deployments that trade scale for affordability.

Other drivers and restraints analyzed in the detailed report include:

1. Labor Shortages in OECD Logistics Hubs
2. ESG-Driven Demand for Energy-Efficient Intralogistics
3. Cyber-Physical Security Vulnerabilities

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

Segment Analysis

Hardware commanded 61.60% revenue in 2025 as conveyors, AS/RS, and robots anchored capital budgets, while software posted a 18.30% CAGR through 2031. The automated material handling market size for software is projected to climb sharply as AI-based orchestration gains acceptance. Services, though smallest, secured recurring revenue via integration and preventive maintenance contracts that ensured uptime.

The software boom mirrored the automated material handling industry's pivot toward intelligent decision-making. SaaS delivery allowed continuous updates without hardware swaps. Digital twins linked to warehouse-control software reduced downtime 25% and optimized energy load balancing, enhancing ROI at multinational facilities.

Mobile robots captured 34.65% of 2025 equipment revenue, and Autonomous Mobile Robots are accelerating at 26.20% CAGR to 2031. Automated Storage and Retrieval Systems retained share through high-density storage, while conveyors provided ubiquitous material flow.

AMRs' infrastructure-free navigation lowered deployment time and delivered flexible scaling, exemplified by DHL's 5,000-unit rollout-the largest AMR project to date. The automated material handling market share held by palletizers and sortation systems grew steadily, thanks to e-commerce volumes, aided by computer-vision upgrades that accommodated SKU shape diversity.

Complete Report Scope:

• By Product Type
  • Hardware
  • Software
  • Services
• By Equipment Type
  • Mobile Robots
    • Automated Guided Vehicles (AGV)
    • Autonomous Mobile Robots (AMR)
  • Automated Storage and Retrieval Systems
    • Fixed-Aisle
    • Carousel
    • Vertical Lift Module
  • Automated Conveyors
    • Belt
    • Roller
    • Pallet
    • Overhead
  • Palletizers
    • Conventional
    • Robotic
  • Sortation Systems
• By End User
  • Airports
  • Automotive
  • Food and Beverages
  • Retail / Warehousing / Distribution
  • General Manufacturing
  • Pharmaceuticals
  • Post and Parcel
  • Others
• By Function
  • Storage
  • Transport and Tow
  • Picking and Placing
  • Sorting
  • Packaging and Palletising
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • India
    • ASEAN
    • 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 accounted for 45.85% 2025 revenue and is growing at 12.55% CAGR through 2031, propelled by China's 52% share of global warehouse-robot output and cross-border e-commerce demand. Regional governments supported automation, illustrated by Daifuku's new Indian plant and JD Logistics' high-tech Melbourne hub. Integrated supply chains reduced hardware costs and deployment times, giving local adopters a cost edge.

North America ranked second, featuring large-scale robotics facilities such as Amazon's 3.5 million ft2 Colorado center, hosting 5,000 robots. Walmart's five high-tech perishable distribution centers doubled throughput while creating 2,000 jobs, demonstrating the region's brownfield transformation pace. Sustainability mandates spurred energy-efficient retrofits across logistics networks.

Europe's adoption focused on ESG-compliant solutions and Industry 4.0 convergence. REWE's Magdeburg facility processed 286,000 packages daily under strict environmental standards, and Dematic's partnership with Groupe Robert pioneered fully automated cold storage in Quebec, showcasing technology exports. The Corporate Sustainability Reporting Directive drove measurable carbon-reduction targets, encouraging investment in renewable-powered warehouses.

1. Daifuku Co., Ltd.
2. KION Group AG (Dematic GmbH)
3. Honeywell Intelligrated, Inc.
4. SSI SCHAFER Group
5. TGW Logistics Group GmbH
6. Kardex Holding AG
7. JBT Corporation
8. Jungheinrich AG
9. KNAPP AG
10. Mecalux, S.A.
11. System Logistics S.p.A.
12. viastore SYSTEMS GmbH
13. BEUMER Group GmbH & Co. KG
14. Interroll Holding AG
15. WITRON Logistik + Informatik GmbH
16. Siemens AG
17. KUKA AG
18. Murata Machinery, Ltd.
19. Toyota Industries Corporation
20. VisionNav Robotics Co., Ltd.
21. AutoStore Holdings Ltd.
22. Locus Robotics Corp.
23. Vanderlande Industries B.V.
24. GreyOrange Pte. Ltd.
25. Amazon Robotics LLC

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 fulfilment intensity surge
  • 4.2.2 Industry 4.0-linked capex cycles in brown-field plants
  • 4.2.3 Labour shortages in OECD logistics hubs
  • 4.2.4 ESG-driven demand for energy-efficient intralogistics
  • 4.2.5 Battery-as-a-Service (BaaS) models for mobile robots
  • 4.2.6 Micro-fulfilment centre roll-outs by grocery chains
• 4.3 Market Restraints
  • 4.3.1 High upfront integration and retro-fit costs
  • 4.3.2 Cyber-physical security vulnerabilities
  • 4.3.3 Scarcity of automation-literate technicians
  • 4.3.4 Volatile rare-earth and steel prices
• 4.4 Evaluation of Critical Regulatory Framework
• 4.5 Value Chain Analysis
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces
  • 4.7.1 Bargaining Power of Suppliers
  • 4.7.2 Bargaining Power of Buyers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Competitive Rivalry
• 4.8 Impact Assessment of Key Stakeholders
• 4.9 Key Use Cases and Case Studies
• 4.10 Impact on Macroeconomic Factors of the Market
• 4.11 Investment Analysis

5 MARKET SEGMENTATION

• 5.1 By Product Type
  • 5.1.1 Hardware
  • 5.1.2 Software
  • 5.1.3 Services
• 5.2 By Equipment Type
  • 5.2.1 Mobile Robots
    • 5.2.1.1 Automated Guided Vehicles (AGV)
    • 5.2.1.2 Autonomous Mobile Robots (AMR)
  • 5.2.2 Automated Storage and Retrieval Systems
    • 5.2.2.1 Fixed-Aisle
    • 5.2.2.2 Carousel
    • 5.2.2.3 Vertical Lift Module
  • 5.2.3 Automated Conveyors
    • 5.2.3.1 Belt
    • 5.2.3.2 Roller
    • 5.2.3.3 Pallet
    • 5.2.3.4 Overhead
  • 5.2.4 Palletizers
    • 5.2.4.1 Conventional
    • 5.2.4.2 Robotic
  • 5.2.5 Sortation Systems
• 5.3 By End User
  • 5.3.1 Airports
  • 5.3.2 Automotive
  • 5.3.3 Food and Beverages
  • 5.3.4 Retail / Warehousing / Distribution
  • 5.3.5 General Manufacturing
  • 5.3.6 Pharmaceuticals
  • 5.3.7 Post and Parcel
  • 5.3.8 Others
• 5.4 By Function
  • 5.4.1 Storage
  • 5.4.2 Transport and Tow
  • 5.4.3 Picking and Placing
  • 5.4.4 Sorting
  • 5.4.5 Packaging and Palletising
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 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 Russia
    • 5.5.3.6 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 ASEAN
    • 5.5.4.6 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 for key companies, Products and Services, and Recent Developments)}
  • 6.4.1 Daifuku Co., Ltd.
  • 6.4.2 KION Group AG (Dematic GmbH)
  • 6.4.3 Honeywell Intelligrated, Inc.
  • 6.4.4 SSI SCHAFER Group
  • 6.4.5 TGW Logistics Group GmbH
  • 6.4.6 Kardex Holding AG
  • 6.4.7 JBT Corporation
  • 6.4.8 Jungheinrich AG
  • 6.4.9 KNAPP AG
  • 6.4.10 Mecalux, S.A.
  • 6.4.11 System Logistics S.p.A.
  • 6.4.12 viastore SYSTEMS GmbH
  • 6.4.13 BEUMER Group GmbH & Co. KG
  • 6.4.14 Interroll Holding AG
  • 6.4.15 WITRON Logistik + Informatik GmbH
  • 6.4.16 Siemens AG
  • 6.4.17 KUKA AG
  • 6.4.18 Murata Machinery, Ltd.
  • 6.4.19 Toyota Industries Corporation
  • 6.4.20 VisionNav Robotics Co., Ltd.
  • 6.4.21 AutoStore Holdings Ltd.
  • 6.4.22 Locus Robotics Corp.
  • 6.4.23 Vanderlande Industries B.V.
  • 6.4.24 GreyOrange Pte. Ltd.
  • 6.4.25 Amazon Robotics LLC

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-Need Assessment