물류 자동화 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the logistics automation market size is expected to increase from USD 81.65 billion in 2025 to USD 90.72 billion in 2026 and reach USD 132.74 billion by 2031, growing at a CAGR of 7.91% over 2026-2031.

This report is Segmented by Function (Warehouse Automation and Transportation Automation), Automation Level (Fully-Automated Systems and Semi-Automated Systems), Component (Hardware, Software, and Services), End-User Industry (E-Commerce and Parcel, Food and Beverage, Grocery Retail, Apparel and Fashion, Manufacturing, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Logistics Automation Market Trends and Insights

Rapid E-commerce Parcel Volumes

Parcel flows climbed 10% year over year to 121 billion shipments in 2025, locking in consumer expectations for same-day fulfillment. Retailers are therefore embedding 10,000-20,000 square-foot micro-fulfillment nodes inside existing stores, cutting last-mile distances by as much as 60%. Instacart's partnership with Fabric to deploy automated micro-fulfillment nodes across 100,000 retail locations illustrates how grocers are leveraging existing real estate to bypass the capital intensity of standalone dark stores. Design focus is shifting from pallets per hour to parcels per square foot, forcing vendors to engineer denser storage grids, lighter robots, and software that optimizes vertical cube utilization. The result is a virtuous cycle, higher order density justifies incremental automation spend, which further compresses delivery windows and raises the competitive bar.

Rising Labor Shortages and Wage Inflation

Manufacturing and logistics vacancies are widening despite wage gains, with U.S. shortfalls projected to reach up to 3.8 million workers by 2030. Even after Amazon lifted entry wages to USD 22 per hour in 2024, seasonal hiring lagged demand, driving accelerated robot rollouts. In Japan, a declining working-age population pushes robot density to 399 units per 10,000 workers, compelling operators to automate or face throughput caps. Labor-driven ROI improvements are material: payback on automated storage and retrieval systems tightened from five years in 2020 to fewer than three years in 2025. Automation has moved from a cost-reduction lever to a precondition for sustaining throughput in tight labor markets.

High Up-Front CAPEX

Large automated warehouses require USD 5 million to USD 25 million in upfront capital expenditure, a threshold that excludes most small and mid-sized logistics operators from deploying fully automated systems. Finance committees frequently insist on sub-three-year payback, especially after several grocery retailers paused large projects when online volumes plateaued. Robotics-as-a-service models convert capex to opex but add 20-30% to lifetime cost, limiting uptake to sites with volatile demand. Consequently, market expansion skews toward tier-one 3PLs that can amortize investments across multiple client contracts, exacerbating a digital divide between large and small operators.

Other drivers and restraints analyzed in the detailed report include:

1. Corporate Net-Zero Logistics Commitments
2. Convergence of 5G and Private-LTE Inside Warehouses
3. Integration Complexity with Brown-Field IT

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

Segment Analysis

Warehouse automation anchored 56.82% of global Logistics automation market revenue in 2025, underscoring its maturity and deep installed base. Cube-based storage, robotic picking arms, and high-speed sorters continue to dominate capex plans in high-SKU-velocity environments. Yet transportation automation, including fleet-management platforms and autonomous yard trucks, records the fastest forecast CAGR at 7.96%, reflecting heightened urgency to shrink empty-mile ratios and hit emission targets. The Logistics automation market continues to reward vendors that deliver real-time asset visibility across warehouse and road networks, blurring functional boundaries and enabling end-to-end optimization.

Software-driven load-matching launched in 2026 allows carriers to slash empty miles by double-digit percentages, pushing transportation automation up the priority list even among shippers with highly automated distribution centers. The Logistics automation market for transportation orchestration is set to grow steadily as carriers invest in AI-enabled route redesign. In parallel, warehouse operators are reallocating budgets from fixed conveyors to autonomous mobile robots that can shift with demand, reflecting growing preference for flexible capital deployment over peak-capacity builds.

Semi-automated configurations accounted for 61.48% of 2025 spending, driven by facilities that keep humans in the loop for exception handling and fragile picks. However, fully automated systems are projected to post a 7.99% CAGR through 2031, driven by shrinking component costs and the arrival of safety-certified AI inference chips. Fully robotized micro-fulfillment centers already process up to 18,000 daily orders with fewer than 50 staff, proving the economic case where order density is high.

Operators recognize that fully-automated layouts require distinct architectural choices-redundant power, predictive analytics, and mission-critical networking-that raise capex by roughly 15-20% yet cut unplanned downtime below 1% of operating hours. As certification bottlenecks ease, the Logistics automation market share of fully-automated systems is expected to climb steadily, particularly in pharmaceuticals and electronics, where inventory value and regulatory controls justify premium investments.

Complete Report Scope:

• By Function
  • Warehouse Automation
    • By Component
      • Hardware
        • Mobile Robots
        • Automated Storage and Retrieval Systems
        • Automated Sorting Systems
        • Conveyor Systems
        • Automatic Identification and Data Collection (AIDC)
        • Order Picking
      • Software
      • Services
  • Transportation Automation
    • By Component
      • Hardware
      • Software
      • Services
• By Automation Level
  • Fully-Automated Systems
  • Semi-Automated Systems
• By Component
  • Hardware
  • Software
  • Services
• By End-User Industry
  • E-commerce and Parcel
  • Food and Beverage
  • Grocery Retail
  • Apparel and Fashion
  • Manufacturing
  • Other End-User Industries
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • ASEAN
    • Rest of Asia-Pacific
  • Middle East
    • Saudi Arabia
    • United Arab Emirates
    • Rest of Middle East
  • Africa
    • South Africa
    • Nigeria
    • Egypt
    • Rest of Africa

Geography Analysis

North America retained 34.84% of 2025 revenue, supported by high labor costs, deep e-commerce penetration, and a mature third-party logistics ecosystem that enables capex to be spread across multiple contracts. U.S. operators frequently pilot new automation technologies, giving the region an outsized influence on vendor roadmaps despite its smaller population than the Asia-Pacific. Strong venture-capital funding further accelerates product iteration, reinforcing the Logistics automation market's innovation flywheel in the region.

Asia-Pacific is the fastest-growing territory, posting an 8.11% CAGR through 2031 as China alone targets USD 25.6 billion in warehouse automation spend by 2030. High robot density in Japan, aggressive rollout of industrial 5G, and large-scale greenfield projects in India's manufacturing corridors collectively drive sustained growth. Government logistics modernization programs align fiscal incentives with private investment, multiplying the addressable Logistics automation market across tier-one and tier-two cities.

Europe, with a considerable market share, advances under the twin pressures of strict labor laws and carbon-reduction mandates. Germany's Industry 4.0 initiative mainstreams digital twins and predictive analytics in warehouse design, while the United Kingdom's urban zoning reforms encourage micro-fulfillment buildouts. South America, the Middle East and Africa are smaller today but enjoy tailwinds from near-shoring, energy diversification, and pharmaceutical cold-chain development, creating long-run upside for the Logistics automation market as infrastructure gaps close.

1. Dematic Corp. (KION Group AG)
2. Daifuku Co., Ltd.
3. Honeywell International Inc.
4. Jungheinrich AG
5. Murata Machinery, Ltd.
6. KNAPP AG
7. TGW Logistics Group GmbH
8. Kardex Holding AG
9. Mecalux, S.A.
10. BEUMER Group GmbH & Co. KG
11. SSI SCHAFER AG
12. Vanderlande Industries B.V.
13. WITRON Logistik + Informatik GmbH
14. Interroll Holding AG
15. GreyOrange Pte Ltd.
16. Locus Robotics Corp.
17. Geek+ Technology Co., Ltd.
18. Ocado Group plc (Ocado Intelligent Automation)
19. AutoStore Holdings Ltd.
20. Exotec SAS
21. Fetch Robotics Inc. (Zebra Technologies)
22. Korber Supply Chain GmbH
23. Cimcorp Oy
24. Manhattan Associates Inc.
25. Swisslog Holding AG
26. Siemens Logistics GmbH
27. Bastian Solutions LLC
28. Fives Group
29. Hai Robotics 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 Rapid E-commerce Parcel Volumes
  • 4.2.2 Rising Labor Shortages and Wage Inflation
  • 4.2.3 Corporate Net-Zero Logistics Commitments
  • 4.2.4 Customs-Free Micro-Fulfilment Zoning Laws
  • 4.2.5 Convergence of 5G and Private-LTE Inside Warehouses
  • 4.2.6 Open-Source Robotics Operating Systems (ROS-2) Maturation
• 4.3 Market Restraints
  • 4.3.1 High Up-Front CAPEX
  • 4.3.2 Integration Complexity with Brown-Field IT
  • 4.3.3 Scarcity of Functional-Safety-Certified AI Chips
  • 4.3.4 Rising Cyber-Insurance Premiums for OT Networks
• 4.4 Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Impact of Macroeconomic Factors on the Market
• 4.7 Porter's Five Forces Analysis
  • 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

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Function
  • 5.1.1 Warehouse Automation
    • 5.1.1.1 By Component
      • 5.1.1.1.1 Hardware
        • 5.1.1.1.1.1 Mobile Robots
        • 5.1.1.1.1.2 Automated Storage and Retrieval Systems
        • 5.1.1.1.1.3 Automated Sorting Systems
        • 5.1.1.1.1.4 Conveyor Systems
        • 5.1.1.1.1.5 Automatic Identification and Data Collection (AIDC)
        • 5.1.1.1.1.6 Order Picking
      • 5.1.1.1.2 Software
      • 5.1.1.1.3 Services
  • 5.1.2 Transportation Automation
    • 5.1.2.1 By Component
      • 5.1.2.1.1 Hardware
      • 5.1.2.1.2 Software
      • 5.1.2.1.3 Services
• 5.2 By Automation Level
  • 5.2.1 Fully-Automated Systems
  • 5.2.2 Semi-Automated Systems
• 5.3 By Component
  • 5.3.1 Hardware
  • 5.3.2 Software
  • 5.3.3 Services
• 5.4 By End-User Industry
  • 5.4.1 E-commerce and Parcel
  • 5.4.2 Food and Beverage
  • 5.4.3 Grocery Retail
  • 5.4.4 Apparel and Fashion
  • 5.4.5 Manufacturing
  • 5.4.6 Other End-User Industries
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 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 Spain
    • 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 India
    • 5.5.4.4 South Korea
    • 5.5.4.5 ASEAN
    • 5.5.4.6 Rest of Asia-Pacific
  • 5.5.5 Middle East
    • 5.5.5.1 Saudi Arabia
    • 5.5.5.2 United Arab Emirates
    • 5.5.5.3 Rest of Middle East
  • 5.5.6 Africa
    • 5.5.6.1 South Africa
    • 5.5.6.2 Nigeria
    • 5.5.6.3 Egypt
    • 5.5.6.4 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 Dematic Corp. (KION Group AG)
  • 6.4.2 Daifuku Co., Ltd.
  • 6.4.3 Honeywell International Inc.
  • 6.4.4 Jungheinrich AG
  • 6.4.5 Murata Machinery, Ltd.
  • 6.4.6 KNAPP AG
  • 6.4.7 TGW Logistics Group GmbH
  • 6.4.8 Kardex Holding AG
  • 6.4.9 Mecalux, S.A.
  • 6.4.10 BEUMER Group GmbH & Co. KG
  • 6.4.11 SSI SCHAFER AG
  • 6.4.12 Vanderlande Industries B.V.
  • 6.4.13 WITRON Logistik + Informatik GmbH
  • 6.4.14 Interroll Holding AG
  • 6.4.15 GreyOrange Pte Ltd.
  • 6.4.16 Locus Robotics Corp.
  • 6.4.17 Geek+ Technology Co., Ltd.
  • 6.4.18 Ocado Group plc (Ocado Intelligent Automation)
  • 6.4.19 AutoStore Holdings Ltd.
  • 6.4.20 Exotec SAS
  • 6.4.21 Fetch Robotics Inc. (Zebra Technologies)
  • 6.4.22 Korber Supply Chain GmbH
  • 6.4.23 Cimcorp Oy
  • 6.4.24 Manhattan Associates Inc.
  • 6.4.25 Swisslog Holding AG
  • 6.4.26 Siemens Logistics GmbH
  • 6.4.27 Bastian Solutions LLC
  • 6.4.28 Fives Group
  • 6.4.29 Hai Robotics Co., Ltd.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment