창고 자동화 시장(물류 자동화) - 2032년까지 640억 달러 규모에 이를 전망 : 기술별(AGV/AMR, ASRS, 컨베이어, 구분해 오더 피킹, AIDC, 팔레타이징, ATLS, WMS/WES/WCS), 업계별, 지역 및 국가별(제6판)

The global warehouse automation market has reached a strategic inflection point. Navigating beyond a well-documented phase of macroeconomic calibration and structural realignment, the sector is entering a broad-based, high-velocity expansion phase. Direct quantitative modeling by LogisticsIQ positions the global warehouse automation market to reach $64 Billion by 2032, sustained by an accelerating CAGR of 12% from 2026 through 2032.

While market visibility often centers on high-profile installations, the underlying reality is stark: 80% of operational warehouses worldwide remain completely manual, lacking any automation support. This profound structural vacuum represents an unprecedented, multi-billion-dollar runway for enterprise commercial growth, technology replacement cycles, and private equity capital deployment.

This study serves as the definitive global reference tool across the corporate spectrum. It provides system integrators with critical competitor benchmarking, mobile robotics OEMs with clear software integration pathways, component manufacturers with exact addressable demand sizing, tier-1 management consultancies with validated modeling baselines, and investment firms with the exact data needed to evaluate enterprise multiples. The 6th edition of our market study, synthesized from over 100 deep-dive stakeholder interviews and an exhaustive evaluation of more than 700 global players, provides a clear view to the structural shifts defining the industry today.

Warehouse Automation Drivers:

• The Greenfield-to-Brownfield Structural Pivot: As macroeconomic variables cause a slowdown in new global greenfield construction, the industry’s primary value pool has shifted decisively toward retrofitting existing brownfield assets. This report analyses how layout limitations are altering the demand for traditional conveyors and driving the adoption of high-density Cube-Based AS/RS and infrastructure-free mobile fleets.
• The Software-Defined Orchestration Shift: Hardware performance characteristics are standardizing, causing the industry’s competitive moat to migrate from physical machinery to software orchestration. We provide a comprehensive look at how Warehouse Execution Systems (WES) and AI machine vision platforms are converging to dictate equipment selection, completely reshaping the landscape for software developers, vision providers, and system integrators alike.
• Quantifying the Automation Frontiers: Beyond established modalities, we calculate the exact financial trajectory of frontier solutions, from Autonomous Mobile Robots (AMRs) executing automated piece-picking to Automatic Truck Loading Systems (ATLS) engineered to resolve terminal dock bottlenecks. Crucially, the report tracks how MRO and Digital Services are scaling to generate high-margin, recurring revenues that protect technology vendors from cyclical project capital expenditure downturns.

KEY FINDINGS

Warehouse Automation Adoption Accelerates as Labor Shortages, eCommerce Growth, and Evolving Consumer Expectations Reshape Supply Chains

• US, Germany and China are the key market: The U.S., China, and Germany continue to lead the warehouse automation landscape, supported by their position as major global manufacturing, trade, and logistics hubs. North America remains the largest regional market, while Europe accounts for roughly one-third of global logistics activity and hosts many of the industry’s leading automation providers. Looking ahead, the fastest growth is expected in Asia-Pacific, particularly India and Southeast Asia driven by strong eCommerce growth and supply-chain modernization, while emerging markets such as the Middle East, Brazil, Mexico, Poland, and the Czech Republic are gaining prominence as companies diversify and regionalize their supply chains.
• Online Grocery becoming the top attraction for warehouse automation: Grocery remains one of the most logistics-intensive retail segments due to high order volumes, frequent replenishment cycles, and stringent freshness requirements. As online grocery sales continue to expand and retailers pursue faster fulfillment models, automation investments in micro-fulfillment centers (MFCs), robotics, and automated storage systems are accelerating. Leading retailers and solution providers-including Walmart–Symbotic, Kroger–Ocado, and Alibaba’s Freshippo, have demonstrated the strategic importance of automation, while industry estimates indicate the MFC market could exceed $10 billion by 2032, supported by growth rate of ~15%. Higher automation driven by online grocery, micro-fulfillment centers (MFC) and ultrafast deliveries is going to be biggest opportunity in next 5 years led by different type of solution providers such as AutoStore, Ocado, Exotec, Symbotic, Attabotics, OPEX, Fabric, Geek+, and Urbx Logistics.
• AGV/AMR will remain the key technology to adopt: AGV and AMR market is expected to become the fastest-growing segment of warehouse automation, driven by accelerating eCommerce fulfillment requirements, labour shortages, and the need for flexible, scalable automation. Unlike traditional fixed automation, AMRs can be deployed with minimal infrastructure changes, making them particularly attractive for small and mid-sized warehouses seeking rapid ROI and operational agility. As a result, mobile robotics is expected to account for more than 25% of the warehouse automation market by 2032, led by technology providers such as Geek+, Hai Robotics, GreyOrange, Locus Robotics, Quicktron, Hikrobot, Seegrid, MiR (Teradyne), OTTO Motors, and Omron, among others. While ASRS solutions continue to offer higher throughput, AMRs are increasingly preferred for their lower deployment costs, flexibility, and ability to support dynamic fulfillment operations. A key emerging trend is the integration of AI-enabled robotic manipulators and mobile picking robots, which combine autonomous navigation with robotic arms to automate piece-picking, sortation, depalletizing, and mixed-case order fulfillment, further expanding the scope of warehouse automation.
• Picking systems are still largely manual: Order picking remains the most labor-intensive and operationally complex activity within modern warehouses, making it a key focus area for automation investments. While manual picking continues to play an important role in high-SKU environments such as eCommerce and online grocery, warehouses are increasingly adopting goods-to-person systems, RFID-enabled identification, pick-to-light, and pick-to-voice technologies to improve productivity, accuracy, and labor efficiency in picking system market worth ~$5B by 2032. Automated storage and retrieval systems (ASRS) and robotic picking solutions are further reducing dependence on manual labor by streamlining item retrieval and order fulfillment. The latest wave of innovation is centered on AI-powered piece-picking robots and robotic manipulators capable of handling diverse products, irregular shapes, and mixed-SKU orders with greater accuracy and speed. Companies such as Dexterity, Covariant, Plus One Robotics, Berkshire Grey, RightHand Robotics, Fizyr, Osaro, and Pickr AI are advancing vision-guided robotic picking, enabling warehouses to automate increasingly complex picking tasks that were previously considered too challenging for robotics, thereby accelerating the transition toward fully autonomous fulfillment operations.

Highlights of Warehouse Automation Market Report

• Warehouse automation suppliers and industry experts expect sustained double-digit market expansion over the long term, driven by structural labor shortages, continued eCommerce growth, and accelerating digitalization of supply chains. The convergence of Physical AI, Industrial IoT, 5G connectivity, and autonomous operations is reshaping warehouse networks, making automation a strategic enabler of resilience, productivity, and customer responsiveness.
• Competitive landscape - The warehouse automation market remains moderately consolidated, with approximately 15 large players generating over US$1 billion in annual revenue and another 15–20 mid-sized providers generating US$200 million–US$1 billion. Industry leaders including Dematic, Daifuku, SSI Schaefer, Symbotic, Knapp, Vanderlande, Honeywell Intelligrated, Muratec, Beumer, Fortna, and Witron collectively command over half of the global market. At the same time, innovation is increasingly being driven by emerging specialists in AMRs, robotic picking, cube-based storage, micro-fulfillment, and AI-powered autonomy, with companies such as Symbotic rapidly establishing themselves as major competitive forces.
• Services, both MRO and Digital, importance is increasing – Over the time as the installed base of automated warehouse solutions grows, industry players expect an increase in revenues from services and maintenance, which would have a positive impact on profitability as the service business typically has 15-20% operating margins, versus 3-5% margins for new equipment. It is expected to be ~$15B opportunity by 2032 including digital services which is almost 25% of total market.
• Business models are also changing considering the real time pain points of end-users for high capex. Businesses are increasingly intrigued with RaaS (Robotics As a Service) because of its flexibility, scalability, and lower cost of entry than traditional robotics programs. The business model for pick-as-a-service is usually on a per-pick basis, ranging from 6 cents to 10 cents per pick, while AMR-as-a-service is usually leased on a monthly basis, from US$750 per robot per month to several thousands of dollars per month, depending on the commitment period.
• Industry Consolidation – The past 5 years have seen an increase in consolidation amongst material handling equipment providers as traditional players see acquisition of new technology leaders as an increasingly attractive way of positioning themselves in response to changing market trends. Acquisitions like Rockwell Automation (Clearpath Robotics, OTTO Motors), Jungheinrich (Magazino), SSI Schafer (DS Automotion), Zebra (Fetch Robotics, Matrox), ABB (ASTI), Toyota (Vanderlande, Bastian Solutions, ViaStore), Murata Machinery (Cimcorp), Locus Robotics (Waypoint), Hitachi (JR Automation), KPI Solutions (Kuecker Logistics Group, Pulse Integration, QC Software), Ocado (6 River Systems, Kindred, Haddington Dynamics), Element Logic (SDI), Honeywell (Intelligrated, Transnorm), Korber (Cohesio Group, Siemens Logistics, HighJump), Teradyne (MiR, Energid, AutoGuide Mobile Robots), Jungheinrich (Arculus), KION (Dematic), KUKA (Swisslog) are just some of the examples of this consolidation.

Facts to Know

• Global e-Commerce sales have grown at a CAGR of 20% over the last decade, reaching almost $5 trillion worldwide in 2021 and expected to grow to more than $10 trillion by 2030, while online shopping adoption exceeded 2.3 billion consumers globally, highlighting the continued shift toward digital retail channels. Looking ahead, eCommerce is expected to account for more than a quarter of global retail sales over the next decade, driving significant investments in automated fulfillment, robotics, last-mile logistics, and high-throughput warehouse infrastructure to support faster and more cost-efficient order fulfillment.
• Amazon Robotics has become one of the most influential forces in warehouse automation, with Amazon surpassing the milestone of 1 million deployed robots across more than 300 fulfillment and logistics facilities globally in 2025, compared to approximately 30,000 robots in 2015. The company is now integrating its new AI-powered orchestration platform, DeepFleet, which improves robotic fleet efficiency by roughly 10% through intelligent traffic management and real-time optimization. Following significant fulfillment network redesign efforts and automation investments, Amazon has materially improved operational productivity while enabling robot-assisted handling in approximately 75% of customer orders. In parallel, Amazon continues to stimulate innovation through its US$1 billion Amazon Industrial Innovation Fund (AIIF), investing in next-generation technologies spanning robotics, AI, automation, fulfillment, transportation, and supply chain solutions.
• Walmart and Symbotic have evolved one of the most significant automation partnerships in global retail logistics. After initially deploying Symbotic’s robotics platform at Walmart’s Brooksville, Florida distribution center in 2017, the collaboration expanded from a pilot deployment to a network-wide transformation initiative. Following Walmart’s decision to automate all 42 U.S. regional distribution centers, Symbotic is currently deploying its AI-enabled robotics and software platform across the entire RDC network. In 2025, the partnership deepened further when Symbotic acquired Walmart’s Advanced Systems and Robotics business and signed a strategic agreement to develop next-generation automation for Walmart’s Accelerated Pickup and Delivery (APD) facilities. Under the agreement, Walmart committed US$520 million toward the development program and plans to deploy automation systems across 400 APD centers over multiple years, potentially adding more than US$5 billion to Symbotic’s future backlog while extending automation beyond distribution centers into store-level fulfillment and last-mile operations.
• Eastern Europe is emerging as one of the most attractive warehouse automation growth regions in Europe, driven by nearshoring, eCommerce expansion, and the relocation of supply chains closer to end markets. Poland has established itself as the region’s leading logistics hub, with modern warehouse stock exceeding 35 million sq. m., ranking among the largest warehouse markets in Europe, while attracting significant investment from global retailers, 3PLs, and manufacturers. Competitive labor economics, growing labor shortages, and continued infrastructure investment are accelerating adoption of robotics, AMRs, ASRS, and warehouse software across Poland, the Czech Republic, Slovakia, and Hungary. As companies increasingly use Central and Eastern Europe as a gateway to both Western and Eastern European markets, the region is expected to deliver above-average growth in warehouse automation over the remainder of the decade.
• China has established itself as the global leader in warehouse automation, fuelled by the world’s largest eCommerce ecosystem, rapid logistics modernization, and strong government support for intelligent manufacturing. A new generation of Chinese automation champions, including Geek+, Hai Robotics, Hikrobot, Quicktron, Siasun, Multiway Robotics, VisionNav Robotics, SEER Robotics, and Libiao Robotics, is driving innovation across AMRs, autonomous case-handling robots (ACRs), robotic picking, high-density storage, and AI-enabled warehouse orchestration. Geek+ has deployed solutions across more than 950 warehouses globally and processed over 10 billion orders, while Quicktron has implemented over 42,000 AMRs for more than 1,000 customers worldwide, underscoring the scale and maturity of China’s automation ecosystem. Chinese providers are increasingly expanding into Europe, North America, Southeast Asia, and the Middle East, leveraging cost-competitive, software-centric, and highly scalable automation platforms to challenge established global leaders and position China as a major exporter of warehouse automation technology.
• Warehouse automation capex remains robust despite broader economic uncertainty, as operators increasingly prioritize productivity, labour resilience, and supply-chain agility. Large-scale distribution centers are typically investing anywhere from US$10–100+ million per facility in automation, while leading retailers and logistics providers continue to commit billions of dollars toward network modernization and robotics deployment. The industry is also witnessing a shift from traditional fixed automation toward modular AMRs, AI-driven software, and goods-to-person systems that can deliver payback periods of approximately 2–5 years. Combined with the rapid adoption of Robotics-as-a-Service (RaaS) and subscription-based models, which can lower upfront investments by up to 60–80%, these financing and technology trends are expected to significantly expand automation penetration and sustain double-digit market growth over the next five years.

What will you get in this report?

• LogisticsIQ™ Exclusive Market Map (700+ Players across 15+ categories)
• 500+ Pages and 290+ Exhibits Market Report for 8 major Industry Verticals and 10 Technologies
• A bottom-up analysis of Warehouse Automation market for 30 countries and regions
• In-depth analysis of 700 companies in the ecosystem with more than 140 company profiles
• Focus Group Discussion with 100+ key industry stakeholders across the value chain to collect the first-hand information to validate our analysis
• Excel file with a pivot modelling and 350+ market tables including forecast till 2032
• 2 Analyst Sessions
• Investment details with 150+ M&A and 750+ funding deals

Table of Contents

1 Executive Summary

• 1.1 Market Dynamics
  • 1.1.1 Change in Market Dynamics
  • 1.1.2 Geopolitical Pressures, Tariffs, and Pricing Impacts
  • 1.1.3 Forecast Revisions and Lowered Adoption Curves
• 1.2 A Market at a Strategic Inflection Point
• 1.3 Three Key Forces Driving Unprecedented Demand
• 1.4 The Technology Paradigm Shift
• 1.5 The Future is Intelligent and Autonomous

2 Warehouse Automation Overview

• 2.1 Anatomy of warehouse operations
  • 2.1.1 Types of Warehouses
  • 2.1.2 Key Areas in a Warehouse or Distribution Center
  • 2.1.3 Picking Systems – Still Largely Manual
  • 2.1.4 Automated Sorting – Widely Adopted
  • 2.1.5 Palletizing Systems – Smarter and More Integrated
  • 2.1.6 Automated Storage and Retrieval Systems (AS/RS) – Critical for Fulfillment
  • 2.1.7 Warehouse Management Systems (WMS) – The Digital Backbone
  • 2.1.8 Key Benefits of Warehouse Automation
• 2.2 Warehouse Management System (WMS) , Warehouse Execution Systems (WES) and Warehouse control systems (WCS)
• 2.3 Automatic Identification and Data Capture (AIDC)
• 2.4 Conveyors, Sorting and Overhead Systems
• 2.5 Mobile Robots - Autonomous Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs)
  • 2.5.1 Goods-to-Person (G2P) Robots
  • 2.5.2 Person-to-Goods (P2G) / Collaborative Picking Robots
  • 2.5.3 Sortation Robots
  • 2.5.4 Autonomous Case-handling Robots (ACRs)
  • 2.5.5 Autonomous Forklifts & Pallet Movers
  • 2.5.6 Tugger AGVs/AMRs
• 2.6 Automated Storage and Retrieval System (AS/RS)
  • 2.6.1 Unit-Load ASRS
  • 2.6.2 Mini-Load Cranes
  • 2.6.3 Shuttle-Based Systems
  • 2.6.4 Cube-Based ASRS
  • 2.6.5 Robotic Mobile Rack ASRS
  • 2.6.6 Vertical Storage Systems
• 2.7 Palletizing/Depalletizing Systems
• 2.8 Order Picking
  • 2.8.1 Picker-to-Parts Methodologies (Human-Centric Augmentation)
  • 2.8.2 Robotic Picking Methodologies
  • 2.8.3 Currently available technologies are capable of delivering fully automated picking solutions
• 2.9 Automatic Truck Loading System (ATLS)
• 2.10 MRO, Digital Services, and Lifecycle Management
• 2.11 Emerging Technologies & The Future of Automation
  • 2.11.1 Humanoid Robots
  • 2.11.2 Other Key Emerging Technologies

3 Warehouse Automation Business Model

• 3.1 The Traditional Model: Project-Based System Integration
  • 3.1.1 Operating Model & Value Proposition
  • 3.1.2 Economic Model & Strategic Insights
• 3.2 The Disruptive Model: Flexible Automation "As-a-Service"
  • 3.2.1 Robotics-as-a-Service (RaaS)
  • 3.2.2 Performance-Based & Outcome-Based Models
• 3.3 The Hybrid Model: Software-as-a-Service (SaaS) for Automation
  • 3.3.1 Operating Model & Value Proposition
• 3.4 The OEM Model: Powering the Ecosystem
  • 3.4.1 Operating Model & Value Proposition
• 3.5 The Brownfield Model: Modular Deployment & Phased Modernization
  • 3.5.1 Operating Model & Value Proposition
  • 3.5.2 Economic Model & Strategic Insights

4 Warehouse Automation Market - Drivers and Challenges

• 4.1 Key Drivers - The Unstoppable Forces Propelling the Automation Imperative
  • 4.1.1 Labor Crisis
  • 4.1.2 The eCommerce & Omnichannel Revolution
  • 4.1.3 Faster adoption of online grocery worldwide
  • 4.1.4 The Strategic Imperative of Supply Chain Resilience
  • 4.1.5 The Decarbonization Mandate: Automation as an ESG Enabler
• 4.2 Key Market Challenges - Navigating the Hurdles to Widespread Adoption
  • 4.2.1 High Upfront Capital Investment & Economic Headwinds
  • 4.2.2 Operational Flexibility & The Pace of Innovation
  • 4.2.3 Integration Complexity
  • 4.2.4 Cybersecurity Risks

5 Major End-Customers in Warehouse Automation Market

• 5.1 Amazon
  • 5.1.1 The Expanding (Accelerating) Role of Robot-Enabled Fulfilment
  • 5.1.2 The Benefits of Automation/Robotics
  • 5.1.3 Amazon Industrial Innovation Fund
  • 5.1.4 There Is Still Room for Improvement
  • 5.1.5 Fleet Scaling and Generative AI Infrastructure
  • 5.1.6 Amazon – New Technology Deployment and Humanoid Pilots
  • 5.1.7 Future Outlook: Next Generation AMRs and Prime Air Expansion
• 5.2 JD.com
  • 5.2.1 Automated Warehouse development
  • 5.2.2 Deployment of Delivery Drones
  • 5.2.3 Autonomous Delivery Robots in Changsha and Hohhot
• 5.3 Walmart
  • 5.3.1 Next Gen Fulfillment Centers and partnership with Symbotic
  • 5.3.2 Future Outlook & Announced Projects
  • 5.3.3 Alphabot Micro-Fulfilment Centre – Transition from Alert Innovation to Symbotic
• 5.4 Tesco
• 5.5 Kroger
  • 5.5.1 Kroger-Ocado Partnership
  • 5.5.2 Delivery Logistics: Expanded Third-Party Partnerships
  • 5.5.3 Autonomous Last Mile Delivery
  • 5.5.4 Optimization and In-Store AI Adaptations
• 5.6 Ocado
  • 5.6.1 Ocado Smart Platform (OSP)
  • 5.6.2 Ocado is distributing and licensing its technology to other retailers
• 5.7 ASOS
• 5.8 Zalando
  • 5.8.1 Zalando and Magazino Partnership
• 5.9 DHL Supply Chain
  • 5.9.1 DHL and Locus Robotics Partnership

6 Warehouse Automation Market, by Technology

• 6.1 Conveyors and Sortation Systems
• 6.2 Overhead Systems
  • 6.2.1 Gantry Robots
• 6.3 Automated Storage and Retrieval System (AS/RS)
• 6.4 Palletizing/De-palletizing Systems
• 6.5 Automatic Identification and Data Capture
• 6.6 Autonomous Guided Vehicles (AGV) & Autonomous Mobile Robots (AMR)
• 6.7 Order Picking
• 6.8 WMS, WES, WCS
• 6.9 Automated Truck Loading Systems
• 6.10 MRO services

7 Warehouse Automation Market, by End-user Industry

• 7.1 E-Commerce
  • 7.1.1 Amazon
  • 7.1.2 Alibaba (Cainiao Network)
  • 7.1.3 JD.com
• 7.2 Grocery
  • 7.2.1 Walmart
  • 7.2.2 Kroger
  • 7.2.3 Ocado Group
• 7.3 Food and Beverage
  • 7.3.1 PepsiCo
  • 7.3.2 Nestle
  • 7.3.3 Anheuser-Busch InBev
• 7.4 Fashion & Apparel
  • 7.4.1 Inditex (Zara)
  • 7.4.2 Nike
  • 7.4.3 Zalando
• 7.5 3PL
  • 7.5.1 DHL Supply Chain
  • 7.5.2 GXO Logistics
  • 7.5.3 Kuehne+Nagel
• 7.6 General Merchandise
  • 7.6.1 Target
  • 7.6.2 The Home Depot
• 7.7 Post & Parcel
  • 7.7.1 UPS
  • 7.7.2 FedEx
  • 7.7.3 DHL Express
• 7.8 Wholesale
  • 7.8.1 W.W. Grainger:
• 7.9 Others (incl. Pharma & Lifesciences, Metals & Mining, Chemicals)
  • 7.9.1 McKesson (Pharmaceuticals)
  • 7.9.2 BASF (Chemicals)

8 Warehouse Automation Market Size, by country

• 8.1 North America
  • 8.1.1 USA
  • 8.1.2 Canada
• 8.2 Europe
  • 8.2.1 Western Europe: Maximizing Tight Urban Footprints
  • 8.2.2 Central & Eastern Europe: The Rapidly Expanding Regional Hub
  • 8.2.3 UK
  • 8.2.4 Germany
  • 8.2.5 France
  • 8.2.6 Italy
  • 8.2.7 Spain
  • 8.2.8 Netherlands
  • 8.2.9 Nordic
  • 8.2.10 Rest of Europe
• 8.3 Asia-Pacific
  • 8.3.1 China
  • 8.3.2 Japan
  • 8.3.3 South Korea
  • 8.3.4 India
  • 8.3.5 Australia
  • 8.3.6 South East Asia
  • 8.3.7 Conclusion
• 8.4 Middle East & Africa
  • 8.4.1 The Middle East Is Building Regional Logistics Hubs to Diversify Beyond Oil
  • 8.4.2 Economic Diversification, E-commerce and Localization Are Reshaping Warehouse Investments
  • 8.4.3 Automation Demand Is Led by 3PL, Retail, E-commerce and Food Logistics
  • 8.4.4 Country-Level Differences
  • 8.4.5 Saudi Arabia
  • 8.4.6 UAE
  • 8.4.7 Turkey
  • 8.4.8 South Africa
  • 8.4.9 Conclusion
• 8.5 Latin America
  • 8.5.1 Latin America Is Modernizing Historically Fragmented Logistics Networks
  • 8.5.2 E-commerce, Nearshoring and Retail Modernization Are Reshaping Warehouse Investments
  • 8.5.3 Automation Demand Is Led by E-commerce, Retail, 3PL and Manufacturing Logistics
  • 8.5.4 Country-Level Differences
  • 8.5.5 Mexico
  • 8.5.6 Brazil
  • 8.5.7 Argentina
  • 8.5.8 Conclusion

9 Competitive Landscape

• 9.1 Automation Solutions Matrix by key players
  • 9.1.1 System Integrators
  • 9.1.2 Warehouse Management Software Solutions
  • 9.1.3 Automatic Identification and Data Capture (AIDC)
• 9.2 Market Share Analysis
• 9.3 Regional Landscape
  • 9.3.1 North America
  • 9.3.2 Western Europe
  • 9.3.3 United Kingdom
  • 9.3.4 China
  • 9.3.5 Regional Players
• 9.4 System Integrators – Top Players
  • 9.4.1 Daifuku
  • 9.4.2 Dematic (KION Group)
  • 9.4.3 SSI Schaefer
  • 9.4.4 Vanderlande (Toyota Industries)
  • 9.4.5 Symbotic
  • 9.4.6 Fortna
  • 9.4.7 Murata Machinery (Muratec)
  • 9.4.8 Knapp
  • 9.4.9 TGW Logistics Group
  • 9.4.10 Honeywell Intelligrated (American Industrial Partners)
• 9.5 AGV & AMR – Top Players
  • 9.5.1 Geek+ (China)
  • 9.5.2 Locus Robotics (USA)
  • 9.5.3 Hai Robotics (China)
  • 9.5.4 Hikrobot (China)
  • 9.5.5 GreyOrange (US/India)
  • 9.5.6 Tier 2: Specialized & High-Growth Innovators
• 9.6 AIDC & Vision System – Top Players
  • 9.6.1 Zebra Technologies (USA)
  • 9.6.2 Datalogic S.p.A. (Italy)
  • 9.6.3 SICK (Germany)
  • 9.6.4 Honeywell SPS (USA)
  • 9.6.5 SATO (Japan)
  • 9.6.6 Cognex (USA)
  • 9.6.7 Keyence Corporation (Japan)
  • 9.6.8 Basler AG (Germany)
• 9.7 Software (WMS/WES/WCS) – Top Players
  • 9.7.1 Blue Yonder (USA)
  • 9.7.2 Manhattan Associates (USA)
  • 9.7.3 Oracle (USA)
  • 9.7.4 SAP (Germany)
  • 9.7.5 Korber Supply Chain – HighJump (Germany)
  • 9.7.6 Infor (USA)
• 9.8 Industrial Robots (Articulated Arms) – Top Players
  • 9.8.1 Fanuc (Japan)
  • 9.8.2 ABB (Sweden/Switzerland)
  • 9.8.3 Kuka (Germany)
  • 9.8.4 Yaskawa (Japan)
  • 9.8.5 Epson Robots (Japan)
  • 9.8.6 Universal Robots (Denmark)
• 9.9 Automated Loading & Unloading (ATLS) – Top Players
  • 9.9.1 Ancra Systems B.V. (Netherlands)
  • 9.9.2 Joloda Hydraroll (UK) and Actiw Oy (Finland)
  • 9.9.3 Boston Dynamics (USA)
  • 9.9.4 Dexterity (USA)
  • 9.9.5 Pickle Robot (USA)
  • 9.9.6 Slip Robotics (USA)
  • 9.9.7 Fox Robotics (USA)

10 Scope & Definition

11 Research Methodology