아시아태평양의 자동 자재관리 : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, Asia Pacific automated material handling market size in 2026 is estimated at USD 33.54 billion, growing from 2025 value of USD 30.05 billion with 2031 projections showing USD 58.19 billion, growing at 11.62% CAGR over 2026-2031.

This report is Segmented by Product Type (Hardware, Software, and Services), Equipment Type (Mobile Robots, ASRS, and More), End-User Vertical (Airport, Automotive, and More), Payload Capacity (Up To 500 Kg, 500 Kg - 1, 500 Kg, and More), Navigation Technology (Laser Guidance, Vision Guidance, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Asia Pacific Automated Material Handling Market Trends and Insights

Increasing Industry 4.0 Investments in Logistics Facilities

Regional manufacturers channel record budgets into cyber-physical upgrades that unite production lines, warehouse control systems, and enterprise software. China's annual smart-factory spend already exceeds USD 200 billion, while Japan's Society 5.0 program earmarks USD 130 billion for industrial IoT. These commitments translate directly into orders for autonomous tuggers, shuttles, and forklifts that synchronize material flows with real-time planning systems. Singapore's Smart Nation agenda shows how public co-investment catalyzes adoption: 40% of the city-state's warehouses had deployed autonomous mobile robots by 2024. Operators now view integrated material handling as a prerequisite for extracting promised Industry 4.0 efficiency gains.

Proliferation of E-Commerce Fulfillment Centers

Asia Pacific online retail penetration rose to 18.3% of total sales in 2024, outpacing all other regions. Massive order surges compress delivery windows, forcing fulfillment hubs to automate picking, sorting, and dispatch. China's 2024 Singles Day moved 1.48 billion parcels within 24 hours, a feat achievable only through high-throughput autonomous fleets. Platforms such as JD.com now operate more than 1,000 automated warehouses, prompting regional peers Shopee and Lazada to replicate similar robotics playbooks. Each new fulfillment node spurs parallel investments in upstream and downstream logistics sites, sustaining a virtuous demand cycle for autonomous solutions.

High Upfront Capex of Integrated Automation Projects

Deploying end-to-end systems often requires USD 2-5 million for a mid-size site, excluding building modifications and change-management costs. Indonesian warehouses earning under USD 10 million annually view such commitments as 25%-50% of yearly turnover. Financing channels remain limited, and robotics-as-a-service plans, while reducing entry fees, can inflate the total cost of ownership. Until equipment prices fall or credit access widens, smaller operators may delay adoption, moderating overall market growth.

Other drivers and restraints analyzed in the detailed report include:

1. Rapid Adoption of Autonomous Mobile Robots in Warehousing
2. Rising Labor Cost and Scarcity in the Asia Pacific
3. Limited Interoperability Standards Across Vendor Ecosystems

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

Segment Analysis

Hardware held 60.63% of the Asia Pacific automated material handling market share in 2025, reaffirming that physical assets still anchor operations. Yet software revenue will climb at a 13.32% CAGR through 2031 as enterprises pursue data-centric performance boosts. The autonomous material handling market size for software is projected to widen each year as predictive maintenance, energy optimization, and AI-based routing stack on top of existing fleets. Services revenues grow steadily because rising system complexity pushes demand for consulting, integration, and lifecycle support. Vendors such as KION expanded into software by acquiring Dematic, illustrating how mechanical-first firms pivot toward holistic solutions.

Hardware growth decelerates from the 2019-2024 period because many first-wave installations are complete. Operators now refine returns through software-enabled tweaks rather than large capital swaps. Regulatory focus also shifts toward firmware safety checks in ISO 3691-4, amplifying the value of code quality over steel strength. As regional networks mature, software-centric offerings should capture incremental budgets while hardware refresh cycles lengthen, deepening the installed base's stickiness.

Mobile robots controlled 33.22% of equipment demand in 2025 and will grow at a 12.21% CAGR through 2031. These platforms lower entry barriers because they require minimal fixed infrastructure, enabling brownfield sites to automate aisles without costly retrofits. Within the Asia Pacific automated material handling market size for equipment, automated storage and retrieval systems (ASRS) still corner high-density use cases, while conveyors remain indispensable for bulk flow. Nonetheless, AMRs win share by excelling in variable SKUs and rapid SKU expansion environments.

The shift from automated guided vehicles to natural-navigation AMRs underscores a broader preference for flexibility. AMRs equipped with vision sensors and AI algorithms plot adaptive routes, sidestepping rigid guidepaths. Fixed systems still serve profitable niches, especially where high throughput outweighs change frequency. Yet survey data confirm budget allocations moving toward software-rich mobile platforms that integrate seamlessly with warehouse execution systems. Compliance with IEC 61508 functional safety elevates trust in mobile options across regulated industries.

Complete Report Scope:

• By Product Type
  • Hardware
  • Software
  • Services
• By Equipment Type
  • Mobile Robots
    • Automated Guided Vehicles (AGV)
      • Automated Forklift
      • Automated Tow / Tractor / Tug
      • Unit Load
      • Assembly Line
      • Special Purpose
    • Autonomous Mobile Robots (AMR)
    • Laser Guided Vehicle
  • Automated Storage and Retrieval System (ASRS)
    • Fixed Aisle (Stacker Crane + Shuttle System)
    • Carousel (Horizontal Carousel + Vertical Carousel)
    • Vertical Lift Module
  • Automated Conveyor
    • Belt
    • Roller
    • Pallet
    • Overhead
  • Palletizer
    • Conventional (High Level + Low Level)
    • Robotic
  • Sortation System
• By End-User Vertical
  • Airport
  • Automotive
  • Food and Beverage
  • Retail / Warehousing / Distribution / Logistics Centers
  • General Manufacturing
  • Pharmaceuticals
  • Post and Parcel
  • Other End-User Verticals
• By Payload Capacity
  • Up to 500 kg
  • 500 kg - 1,500 kg
  • Above 1,500 kg
• By Navigation Technology
  • Laser Guidance
  • Vision Guidance
  • Magnetic Tape / Wire Guidance
  • Natural Feature Guidance (SLAM)
• By Region
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Thailand
  • Singapore
  • Malaysia
  • Taiwan
  • Rest of Asia Pacific

List of Companies Covered in this Report:

1. DAIFUKU Co., Ltd.
2. Kardex Holding AG
3. KION GROUP AG
4. John Bean Technologies Corporation
5. JUNGHEINRICH AG
6. SSI SCHAEFER AG
7. VisionNav Robotics Co., Ltd.
8. System Logistics S.p.A.
9. BEUMER Group GmbH and Co. KG
10. Interroll Holding AG
11. WITRON Logistik and Informatik GmbH
12. KUKA Aktiengesellschaft
13. Honeywell International Inc.
14. Murata Machinery, Ltd.
15. Toyota Industries Corporation
16. GreyOrange Pte. Ltd.
17. Geekplus Technology Co., Ltd.
18. Hyster-Yale Materials Handling, Inc.
19. Mitsubishi Logisnext Co., Ltd.
20. Shenzhen Casun Intelligent Robot Co., Ltd.

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 Increasing Industry 4.0 Investments in Logistics Facilities
  • 4.2.2 Proliferation of E-Commerce Fulfillment Centers
  • 4.2.3 Rapid Adoption of Autonomous Mobile Robots in Warehousing
  • 4.2.4 Rising Labor Cost and Scarcity in Asia Pacific
  • 4.2.5 Government Incentives for Smart Industrial Parks in ASEAN
  • 4.2.6 Integration of 5G Private Networks Enabling Real-Time Fleet Coordination
• 4.3 Market Restraints
  • 4.3.1 High Upfront Capex of Integrated Automation Projects
  • 4.3.2 Limited Interoperability Standards Across Vendor Ecosystems
  • 4.3.3 Delayed Port Infrastructure Digitalization in Emerging Economies
  • 4.3.4 Data Security Concerns in Cloud-Managed Material Handling Fleets
• 4.4 Industry Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Impact of Macroeconomic Factors
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Threat of New Entrants
  • 4.8.2 Bargaining Power of Buyers
  • 4.8.3 Bargaining Power of Suppliers
  • 4.8.4 Threat of Substitute Products
  • 4.8.5 Intensity of Competitive Rivalry
• 4.9 Investment Analysis

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 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)
      • 5.2.1.1.1 Automated Forklift
      • 5.2.1.1.2 Automated Tow / Tractor / Tug
      • 5.2.1.1.3 Unit Load
      • 5.2.1.1.4 Assembly Line
      • 5.2.1.1.5 Special Purpose
    • 5.2.1.2 Autonomous Mobile Robots (AMR)
    • 5.2.1.3 Laser Guided Vehicle
  • 5.2.2 Automated Storage and Retrieval System (ASRS)
    • 5.2.2.1 Fixed Aisle (Stacker Crane + Shuttle System)
    • 5.2.2.2 Carousel (Horizontal Carousel + Vertical Carousel)
    • 5.2.2.3 Vertical Lift Module
  • 5.2.3 Automated Conveyor
    • 5.2.3.1 Belt
    • 5.2.3.2 Roller
    • 5.2.3.3 Pallet
    • 5.2.3.4 Overhead
  • 5.2.4 Palletizer
    • 5.2.4.1 Conventional (High Level + Low Level)
    • 5.2.4.2 Robotic
  • 5.2.5 Sortation System
• 5.3 By End-User Vertical
  • 5.3.1 Airport
  • 5.3.2 Automotive
  • 5.3.3 Food and Beverage
  • 5.3.4 Retail / Warehousing / Distribution / Logistics Centers
  • 5.3.5 General Manufacturing
  • 5.3.6 Pharmaceuticals
  • 5.3.7 Post and Parcel
  • 5.3.8 Other End-User Verticals
• 5.4 By Payload Capacity
  • 5.4.1 Up to 500 kg
  • 5.4.2 500 kg - 1,500 kg
  • 5.4.3 Above 1,500 kg
• 5.5 By Navigation Technology
  • 5.5.1 Laser Guidance
  • 5.5.2 Vision Guidance
  • 5.5.3 Magnetic Tape / Wire Guidance
  • 5.5.4 Natural Feature Guidance (SLAM)
• 5.6 By Region
  • 5.6.1 China
  • 5.6.2 Japan
  • 5.6.3 India
  • 5.6.4 South Korea
  • 5.6.5 Australia
  • 5.6.6 Indonesia
  • 5.6.7 Thailand
  • 5.6.8 Singapore
  • 5.6.9 Malaysia
  • 5.6.10 Taiwan
  • 5.6.11 Rest of Asia Pacific

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 Kardex Holding AG
  • 6.4.3 KION GROUP AG
  • 6.4.4 John Bean Technologies Corporation
  • 6.4.5 JUNGHEINRICH AG
  • 6.4.6 SSI SCHAEFER AG
  • 6.4.7 VisionNav Robotics Co., Ltd.
  • 6.4.8 System Logistics S.p.A.
  • 6.4.9 BEUMER Group GmbH and Co. KG
  • 6.4.10 Interroll Holding AG
  • 6.4.11 WITRON Logistik and Informatik GmbH
  • 6.4.12 KUKA Aktiengesellschaft
  • 6.4.13 Honeywell International Inc.
  • 6.4.14 Murata Machinery, Ltd.
  • 6.4.15 Toyota Industries Corporation
  • 6.4.16 GreyOrange Pte. Ltd.
  • 6.4.17 Geekplus Technology Co., Ltd.
  • 6.4.18 Hyster-Yale Materials Handling, Inc.
  • 6.4.19 Mitsubishi Logisnext Co., Ltd.
  • 6.4.20 Shenzhen Casun Intelligent Robot Co., Ltd.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment