자율형 공장 물류 시장 : 시장 예측 - 물류 시스템별, 내비게이션별, 기술별, 용도별, 최종 사용자별 및 지역별 분석(-2034년)

According to Stratistics MRC, the Global Autonomous Factory Logistics Market is accounted for $5.9 billion in 2026 and is expected to reach $15.1 billion by 2034 growing at a CAGR of 12.4% during the forecast period. Autonomous factory logistics refers to the self-navigating robotic systems and intelligent automation solutions designed to execute material transportation, inventory movement, and production line supply operations within manufacturing facilities without direct human control. These systems encompass autonomous mobile robots, automated guided vehicles, autonomous forklifts, and robotic conveyor networks that integrate advanced navigation technologies including simultaneous localization and mapping, light detection and ranging, and computer vision with warehouse and manufacturing execution systems. They operate through wireless communication networks, recharge autonomously, and adapt routing dynamically in response to production schedule changes, material availability, and facility layout modifications to optimize internal logistics efficiency.

Market Dynamics:

Driver:

Labor Shortage Pressures Mounting

The persistent shortage of available warehouse and logistics workers across manufacturing sectors is driving substantial demand for autonomous factory logistics systems that can maintain operational throughput without proportional human staffing. Manufacturing facilities face increasing difficulty recruiting and retaining material handling personnel for repetitive, physically demanding tasks including pallet transport, line feeding, and inventory replenishment. Autonomous logistics systems offer consistent operational performance, twenty-four-hour availability, and predictable operating costs that improve production planning reliability. The return on investment calculus increasingly favors robotic deployment as labor availability constraints intensify across major manufacturing regions.

Restraint:

Facility Modification Requirements

The substantial capital investment and facility modifications required to deploy autonomous factory logistics systems in existing manufacturing environments represent a significant barrier to adoption for many operators. Retrofitting legacy facilities with charging infrastructure, wireless networks, safety zoning, and floor surface improvements often requires production downtime and significant capital expenditure. The need for specialized integration expertise to configure fleet management software and establish communication with existing manufacturing execution and enterprise resource planning systems creates additional implementation complexity. These factors collectively elevate total cost of ownership beyond robot hardware acquisition prices and extend deployment timelines considerably.

Opportunity:

Flexible Manufacturing Support

The accelerating trend toward flexible manufacturing and mass customization represents a compelling growth opportunity for autonomous factory logistics systems capable of adapting to frequent production line reconfigurations and variable material flow patterns. Traditional fixed conveyor systems and manually operated forklifts cannot efficiently accommodate the dynamic routing requirements of modern cellular manufacturing and mixed-model assembly operations. Autonomous mobile robots with intelligent fleet coordination can dynamically adjust routes, priorities, and task assignments in response to real-time production schedule changes. Growing adoption of lean manufacturing and just-in-time principles across discrete manufacturing sectors is creating sustained demand for flexible internal logistics automation.

Threat:

Safety Regulatory Uncertainty

The evolving and fragmented regulatory landscape governing human-robot collaboration in industrial environments poses a significant threat to autonomous factory logistics adoption and deployment flexibility. Safety standards for autonomous mobile robot operation in shared human-robot workspaces remain under development across major jurisdictions, creating compliance uncertainty for multinational manufacturers. Potential regulatory requirements for mandatory safety zones, speed limitations, or human oversight capabilities could constrain operational efficiency and increase system costs. The absence of globally harmonized safety standards complicates deployment planning for organizations operating facilities across multiple countries.

Covid-19 Impact:

The COVID-19 pandemic significantly accelerated autonomous factory logistics adoption as manufacturing facilities implemented social distancing measures while maintaining production throughput. Autonomous systems enabled reduced human density on factory floors and eliminated the need for close-contact material handoff operations. Initial supply chain disruptions temporarily constrained robot availability, while heightened awareness of operational resilience drove demand for flexible logistics automation. Post-pandemic emphasis on workforce flexibility and business continuity has sustained procurement momentum, establishing autonomous logistics as a permanent operational capability across manufacturing sectors.

The autonomous mobile robots (AMRs) segment is expected to be the largest during the forecast period

The autonomous mobile robots (AMRs) segment is expected to account for the largest market share during the forecast period, due to its versatility in transporting diverse payload types across unstructured factory environments without requiring fixed guidance infrastructure. AMRs navigate dynamically using onboard sensors and mapping algorithms, enabling rapid deployment in existing facilities without extensive modifications. The technology addresses the broadest range of material handling applications from component delivery to production lines to finished goods transport to shipping areas. Major automotive, electronics, and consumer goods manufacturers have standardized on AMR fleets for flexible internal logistics operations.

The hybrid navigation segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the hybrid navigation segment is predicted to witness the highest growth rate, driven by the operational advantages of combining multiple sensing technologies to achieve robust navigation performance across diverse factory environments. Hybrid systems integrate LiDAR, visual SLAM, and laser guidance to maintain accurate positioning in facilities with dynamic obstacles, varying lighting conditions, and mixed flooring surfaces. The redundancy provided by multiple navigation modalities reduces robot downtime and improves safety in human-robot collaborative zones. Rapid adoption by leading AMR and AGV manufacturers is establishing hybrid navigation as the preferred architecture for next-generation factory logistics systems.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to its advanced manufacturing base, early adoption of factory automation technologies, and substantial presence of major autonomous logistics vendors including Dematic, Swisslog, and Locus Robotics. The United States leads regional demand through its concentration of automotive, electronics, and e-commerce fulfillment operations that generate sustained demand for sophisticated internal logistics automation. Strong venture capital investment in robotics startups sustains continuous innovation. Labor cost pressures and warehouse worker shortage trends reinforce automation adoption throughout the forecast period.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to rapid manufacturing expansion across China, Japan, and South Korea alongside aggressive government investment in smart factory and logistics modernization programs. China domestic robotics industry is producing cost-competitive autonomous logistics solutions that accelerate adoption among small and medium manufacturers. Japan and South Korea maintain advanced automotive and electronics manufacturing sectors that generate sustained demand for robotic automation. Rising labor costs and land scarcity in major Asian metropolitan areas are compelling operators to maximize factory productivity through intelligent logistics deployment.

Key players in the market

Some of the key players in Autonomous Factory Logistics Market include Daifuku Co., Ltd., KION Group AG, Dematic, Swisslog Holding AG, SSI SCHAEFER Group, Geekplus Technology Co., Ltd., GreyOrange Pte. Ltd., ABB Ltd., FANUC Corporation, Omron Corporation, Murata Machinery, Ltd., KNAPP AG, Honeywell International Inc., Zebra Technologies Corporation, AutoStore Holdings Ltd., Siemens AG, and Rockwell Automation, Inc..

Key Developments:

In June 2026, Daifuku Co., Ltd. launched a next-generation autonomous mobile robot with enhanced payload capacity and AI-driven fleet coordination for automotive component line feeding operations.

In May 2026, KION Group AG expanded its autonomous forklift portfolio with vision-based navigation and automated pallet detection for warehouse and manufacturing facility integration.

In April 2026, Dematic introduced an updated robotic conveyor system with integrated autonomous mobile robot interfaces for seamless material flow across mixed automation environments.

Logistics Systems Covered:

• Autonomous Mobile Robots (AMRs)
• Automated Guided Vehicles (AGVs)
• Autonomous Forklifts
• Robotic Conveyor Systems
• Automated Storage & Retrieval Systems (AS/RS)
• Robotic Palletizers
• Material Handling Robots

Navigations Covered:

• LiDAR Navigation
• SLAM Navigation
• Vision-Based Navigation
• Laser Guidance
• Magnetic Navigation
• Hybrid Navigation

Technologies Covered:

• Artificial Intelligence
• Industrial Internet of Things (IIoT)
• Computer Vision
• Machine Learning
• 5G Connectivity
• Cloud Robotics
• Digital Twin

Applications Covered:

• Material Transportation
• Inventory Movement
• Production Line Supply
• Warehouse Operations
• Order Fulfillment
• Pallet Handling
• Loading & Unloading

End Users Covered:

• Automotive
• Electronics & Semiconductor
• Food & Beverage
• Pharmaceuticals
• Industrial Manufacturing
• Chemicals
• Other End Users

Regions Covered:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Netherlands
  • Belgium
  • Sweden
  • Switzerland
  • Poland
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Thailand
  • Malaysia
  • Singapore
  • Vietnam
  • Rest of Asia Pacific
• South America
  • Brazil
  • Argentina
  • Colombia
  • Chile
  • Peru
  • Rest of South America
• Rest of the World (RoW)
  • Middle East
• Saudi Arabia
• United Arab Emirates
• Qatar
• Israel
• Rest of Middle East
  • Africa
• South Africa
• Egypt
• Morocco
• Rest of Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

• 1.1 Market Snapshot and Key Highlights
• 1.2 Growth Drivers, Challenges, and Opportunities
• 1.3 Competitive Landscape Overview
• 1.4 Strategic Insights and Recommendations

2 Research Framework

• 2.1 Study Objectives and Scope
• 2.2 Stakeholder Analysis
• 2.3 Research Assumptions and Limitations
• 2.4 Research Methodology
  • 2.4.1 Data Collection (Primary and Secondary)
  • 2.4.2 Data Modeling and Estimation Techniques
  • 2.4.3 Data Validation and Triangulation
  • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

• 3.1 Market Definition and Structure
• 3.2 Key Market Drivers
• 3.3 Market Restraints and Challenges
• 3.4 Growth Opportunities and Investment Hotspots
• 3.5 Industry Threats and Risk Assessment
• 3.6 Technology and Innovation Landscape
• 3.7 Emerging and High-Growth Markets
• 3.8 Regulatory and Policy Environment
• 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

• 4.1 Porter's Five Forces Analysis
  • 4.1.1 Supplier Bargaining Power
  • 4.1.2 Buyer Bargaining Power
  • 4.1.3 Threat of Substitutes
  • 4.1.4 Threat of New Entrants
  • 4.1.5 Competitive Rivalry
• 4.2 Market Share Analysis of Key Players
• 4.3 Product Benchmarking and Performance Comparison

5 Global Autonomous Factory Logistics Market, By Logistics System

• 5.1 Autonomous Mobile Robots (AMRs)
• 5.2 Automated Guided Vehicles (AGVs)
• 5.3 Autonomous Forklifts
• 5.4 Robotic Conveyor Systems
• 5.5 Automated Storage & Retrieval Systems (AS/RS)
• 5.6 Robotic Palletizers
• 5.7 Material Handling Robots

6 Global Autonomous Factory Logistics Market, By Navigation

• 6.1 LiDAR Navigation
• 6.2 SLAM Navigation
• 6.3 Vision-Based Navigation
• 6.4 Laser Guidance
• 6.5 Magnetic Navigation
• 6.6 Hybrid Navigation

7 Global Autonomous Factory Logistics Market, By Technology

• 7.1 Artificial Intelligence
• 7.2 Industrial Internet of Things (IIoT)
• 7.3 Computer Vision
• 7.4 Machine Learning
• 7.5 5G Connectivity
• 7.6 Cloud Robotics
• 7.7 Digital Twin

8 Global Autonomous Factory Logistics Market, By Application

• 8.1 Material Transportation
• 8.2 Inventory Movement
• 8.3 Production Line Supply
• 8.4 Warehouse Operations
• 8.5 Order Fulfillment
• 8.6 Pallet Handling
• 8.7 Loading & Unloading

9 Global Autonomous Factory Logistics Market, By End User

• 9.1 Automotive
• 9.2 Electronics & Semiconductor
• 9.3 Food & Beverage
• 9.4 Pharmaceuticals
• 9.5 Industrial Manufacturing
• 9.6 Chemicals
• 9.7 Other End Users

10 Global Autonomous Factory Logistics Market, By Geography

• 10.1 North America
  • 10.1.1 United States
  • 10.1.2 Canada
  • 10.1.3 Mexico
• 10.2 Europe
  • 10.2.1 United Kingdom
  • 10.2.2 Germany
  • 10.2.3 France
  • 10.2.4 Italy
  • 10.2.5 Spain
  • 10.2.6 Netherlands
  • 10.2.7 Belgium
  • 10.2.8 Sweden
  • 10.2.9 Switzerland
  • 10.2.10 Poland
  • 10.2.11 Rest of Europe
• 10.3 Asia Pacific
  • 10.3.1 China
  • 10.3.2 Japan
  • 10.3.3 India
  • 10.3.4 South Korea
  • 10.3.5 Australia
  • 10.3.6 Indonesia
  • 10.3.7 Thailand
  • 10.3.8 Malaysia
  • 10.3.9 Singapore
  • 10.3.10 Vietnam
  • 10.3.11 Rest of Asia Pacific
• 10.4 South America
  • 10.4.1 Brazil
  • 10.4.2 Argentina
  • 10.4.3 Colombia
  • 10.4.4 Chile
  • 10.4.5 Peru
  • 10.4.6 Rest of South America
• 10.5 Rest of the World (RoW)
  • 10.5.1 Middle East
    • 10.5.1.1 Saudi Arabia
    • 10.5.1.2 United Arab Emirates
    • 10.5.1.3 Qatar
    • 10.5.1.4 Israel
    • 10.5.1.5 Rest of Middle East
  • 10.5.2 Africa
    • 10.5.2.1 South Africa
    • 10.5.2.2 Egypt
    • 10.5.2.3 Morocco
    • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

• 11.1 Industry Value Network and Supply Chain Assessment
• 11.2 White-Space and Opportunity Mapping
• 11.3 Product Evolution and Market Life Cycle Analysis
• 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

• 12.1 Mergers and Acquisitions
• 12.2 Partnerships, Alliances, and Joint Ventures
• 12.3 New Product Launches and Certifications
• 12.4 Capacity Expansion and Investments
• 12.5 Other Strategic Initiatives

13 Company Profiling

• 13.1 Daifuku Co., Ltd.
• 13.2 KION Group AG
• 13.3 Dematic
• 13.4 Swisslog Holding AG
• 13.5 SSI SCHAEFER Group
• 13.6 Geekplus Technology Co., Ltd.
• 13.7 GreyOrange Pte. Ltd.
• 13.8 ABB Ltd.
• 13.9 FANUC Corporation
• 13.10 Omron Corporation
• 13.11 Murata Machinery, Ltd.
• 13.12 KNAPP AG
• 13.13 Honeywell International Inc.
• 13.14 Zebra Technologies Corporation
• 13.15 AutoStore Holdings Ltd.
• 13.16 Siemens AG
• 13.17 Rockwell Automation, Inc.