The smart warehousing market is expanding rapidly, with a projected market size rising from USD 31.21 billion in 2025 to USD 46.42 billion by 2030, at a CAGR of 8.3% during the forecast period. The market is driven by the surge in e-commerce, advancements in IoT and automation, demand for contactless operations, need for efficient inventory management, and supportive government initiatives. However, high initial costs, legacy system integration issues, skilled labor shortages, data security concerns, and uncertain ROI restrain growth.
“Autonomous mobile robots segment to account for the fastest growth rate during the forecast period”
Autonomous mobile robots (AMRs) are expected to witness the fastest growth in the smart warehousing market due to their flexibility, scalability, and ability to operate in dynamic warehouse environments without fixed infrastructure. Unlike traditional automated systems, AMRs use advanced sensors and AI for real-time navigation, enabling seamless collaboration with human workers and quick adaptation to layout changes. Their deployment significantly reduces manual labor, improves picking and sorting efficiency, and enhances safety. As e-commerce and on-demand logistics expand, the need for high-speed, cost-effective, and easily deployable automation solutions will further accelerate AMR adoption across global warehouses.
“Warehouse management system segment to hold the largest market share during the forecast period”
Warehouse management system (WMS) software is expected to hold the largest market share in the smart warehousing market due to its central role in optimizing and orchestrating warehouse operations. WMS enables real-time inventory tracking, efficient order fulfillment, labor management, and integration with other digital tools such as robotics and IoT devices. As supply chains become more complex and customer expectations for speed and accuracy rise, businesses increasingly rely on WMS to enhance visibility, reduce operational costs, and improve decision-making. Its scalability and adaptability across industries make it a foundational technology in smart warehousing ecosystems.
“North America dominates with early adoption and infrastructure, while Asia Pacific leads with innovation and e-commerce boom”
North America is projected to hold the largest market share in the smart warehousing market due to its early adoption of advanced technologies, strong presence of leading logistics and e-commerce companies, and significant investments in automation and digital transformation. The region also benefits from a well-established infrastructure and a highly skilled workforce. Conversely, the Asia Pacific region is expected to witness the fastest growth rate, driven by rapid e-commerce expansion, rising demand for efficient supply chain operations, and increasing government initiatives supporting smart infrastructure. Emerging economies such as China and India are aggressively adopting smart warehousing to enhance competitiveness, reduce labor dependency, and meet growing consumer demands.
Breakdown of Primaries
In-depth interviews were conducted with chief executive officers (CEOs), innovation and technology directors, hardware providers, system integrators, and executives from various key organizations operating in the smart warehousing market.
- By Company: Tier I – 38%, Tier II – 50%, and Tier III – 12%
- By Designation: C-Level Executives – 35%, D-Level Executives – 40%, and others – 25%
- By Region: North America – 40%, Europe – 30%, Asia Pacific – 20%, Middle East & Africa – 5%, and Latin America – 5%
Research Coverage
This research report categorizes the smart warehousing market based on offering (hardware, software, services), hardware (robotic systems, storage solutions, automatic identification & data collection, conveyors & sorters), robotic systems (AGVs, AMRs, robotic picking systems, palletizing & depalletizing systems), software (warehouse management systems, transport management systems, order management software), deployment mode (cloud, on-premise) services (professional services, managed services), professional services (training & consulting, system integration & implementation, support & maintenance), warehouse size (small, medium, large), technology (robotics & automation, AI, IoT, blockchain, big data analytics), vertical (transportation & logistics, retail & e-commerce, manufacturing, healthcare & life sciences, food & beverages, other verticals), transportation & logistics (3PL, freight forwarders, last-mile delivery providers), and region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America).
The report’s scope covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the smart warehousing market. A detailed analysis of the key industry players was done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, and mergers and acquisitions; and recent developments associated with the smart warehousing market. This report also covers the competitive analysis of upcoming startups in the smart warehousing market ecosystem.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall smart warehousing market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to better position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
- Analysis of key drivers (rising focus on green initiatives and sustainability to minimize waste, Proliferation of smartphones for faster and more efficient management of goods, emergence of multi-channel distribution networks, dynamic nature and globalization of supply chain networks), restraints (lack of uniform governance standards in the fragmented logistics industry, Data security and privacy concerns), opportunities (adoption of AR and VR technologies to streamline warehouse operations, rising focus on Warehouse 4.0 to reduce operating costs, advancements in self-driving vehicles and robotics), and challenges (lack of awareness among small-scale industries, high implementation and maintenance costs for SMEs).
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the smart warehousing market.
- Market Development: Comprehensive information about lucrative markets – the report analyses the smart warehousing market across varied regions.
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the smart warehousing market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as Manhattan Associates (US), Korber (Germany), Oracle (US), SAP (Germany), Tecsys (Canada), PSI Logistics (Germany), Samsung SDS (South Korea), Reply (Italy), Infor (US), IBM (US), Blue Yonder (US), Generix Group (France), Microlistics (Australia), ABB (Switzerland), Microsoft (US), Epicor (US), Made4net (US), Mantis (Greece), Softeon (US), Synergy Logistics (UK), E2open (US), Vinculum (India), Mecalux (Spain), SSI Schaefer (Germany), Dematic (US), Honeywell (US), Swisslog (Switzerland), Daifuku (Japan), WareIQ (India), Foysonis (US), Increff (India), Locus Robotics (US), ShipHero (US), Cin7 Orderhive (New Zealand), EasyEcom (India), Unicommerce (India), IAM Robotics (US), Logiwa (US), GreyOrange (India), RightHand Robotics (US), Magazino (Germany), Covariant (US), Attabotics (Canada), Geek+ (China), Nomagic (Poland), and Plus One Robotics (US), among others. The report also helps stakeholders understand the smart warehousing market’s pulse and provides information on key market drivers, restraints, challenges, and opportunities.
- 1 Introduction
- 1.1 Study Objectives
- 1.2 Market Definition
- 1.3 Study Scope
- 1.3.1 Market Segmentation And Regional Scope
- 1.3.2 Inclusions And Exclusions
- 1.4 Years Considered
- 1.5 Currency Considered
- 1.6 Stakeholders
- 1.7 Summary Of Changes
- 2 Research Methodology
- 2.1 Research Data
- 2.1.1 Secondary Data
- 2.1.2 Primary Data
- 2.1.2.1 Breakdown Of Primary Profiles
- 2.1.2.2 Key Insights From Industry Experts
- 2.2 Market Size Estimation
- 2.2.1 Top-down Approach
- 2.2.2 Bottom-up Approach
- 2.2.3 Smart Warehousing Market Estimation: Demand-side Analysis
- 2.3 Data Triangulation
- 2.4 Risk Assessment
- 2.5 Research Assumptions
- 2.6 Research Limitations
- 3 Executive Summary
- 4 Premium Insights
- 4.1 Attractive Opportunities For Players In Smart Warehousing Market
- 4.2 Smart Warehousing Market, By Automated Systems
- 4.3 North America: Smart Warehousing Market,
- By Offering And Warehouse Size
- 4.4 Smart Warehousing Market, By Region
- 5 Market Overview And Industry Trends
- 5.1 Introduction
- 5.2 Market Dynamics
- 5.2.1 Introduction
- 5.2.2 Drivers
- 5.2.2.1 Rising Focus On Green Initiatives And Sustainability To Minimize Waste
- 5.2.2.2 Proliferation Of Smartphones For Faster And Efficient Management Of Goods
- 5.2.2.3 Emergence Of Multi-channel Distribution Networks
- 5.2.2.4 Dynamic Nature And Globalization Of Supply Chain Networks
- 5.2.2.5 Convergence Of Iot And 5g To Accelerate Warehouse Intelligence
- 5.2.3 Restraints
- 5.2.3.1 Lack Of Uniform Governance Standards In Fragmented Logistics Industry
- 5.2.3.2 Data Security And Privacy Concerns
- 5.2.4 Opportunities
- 5.2.4.1 Adoption Of Ar And Vr Technologies To Streamline Warehouse Operations
- 5.2.4.2 Rising Focus On Warehouse 4.0 To Reduce Operating Costs
- 5.2.4.3 Advancements In Self-driving Vehicles And Robotics
- 5.2.5 Challenges
- 5.2.5.1 Lack Of Awareness About Smart Warehousing Systems Among Small-scale Industries
- 5.2.5.2 High Implementation And Maintenance Costs For Smes
- 5.3 Evolution Of Smart Warehousing
- 5.4 Smart Warehousing Market: Ecosystem Analysis
- 5.5 Case Study Analysis
- 5.5.1 Costa Logistics Transforms Distribution Efficiency With Manhattan Associates’ Warehouse Management Solution
- 5.5.2 Nagel Group Optimizes Warehouse Operations Using Psiwms And Ai-supported Logistics Software From Psi Group
- 5.5.3 Endries International And Infor Achieve 40% Warehouse-productivity Boost With Cloud-based Infor Wms On Aws
- 5.6 Supply Chain Analysis
- 5.7 Regulatory Landscape
- 5.7.1 Regulatory Frameworks
- 5.7.1.1 General Data Protection Regulation (Gdpr)
- 5.7.1.2 Occupational Safety And Health Administration (Osha)
- 5.7.1.3 Federal Motor Carrier Safety Administration (Fmcsa)
- 5.8 Pricing Analysis
- 5.8.1 Average Selling Price Trend Of Key Players, By Offering, 2025
- 5.8.2 Average Selling Price, By Software, 2025
- 5.9 Technology Analysis
- 5.9.1 Key Technologies
- 5.9.1.1 Voice Recognition
- 5.9.1.2 Computer Vision
- 5.9.1.3 Robotic Process Automation
- 5.9.1.4 Augmented Reality/Virtual Reality (Ar/Vr)
- 5.9.2 Adjacent Technologies
- 5.9.2.1 Cybersecurity
- 5.9.2.2 Digital Twins
- 5.9.2.3 3d Printing
- 5.9.3 Complementary Technologies
- 5.9.3.1 Cloud & Edge Computing
- 5.9.3.2 5g Networks & Connectivity
- 5.9.3.3 Predictive Maintenance
- 5.10 Patent Analysis
- 5.11 Porter’s Five Forces Analysis
- 5.11.1 Threat Of New Entrants
- 5.11.2 Threat Of Substitutes
- 5.11.3 Bargaining Power Of Suppliers
- 5.11.4 Bargaining Power Of Buyers
- 5.11.5 Intensity Of Competitive Rivalry
- 5.12 Key Stakeholders And Buying Criteria
- 5.12.1 Key Stakeholders In Buying Process
- 5.12.2 Buying Criteria
- 5.13 Trends/Disruptions Impacting Customer Business
- 5.14 Key Conferences And Events, 2025–2026
- 5.15 Trade Analysis
- 5.15.1 Export Scenario
- 5.15.2 Import Scenario
- 5.16 Investment And Funding Scenario
- 5.17 Impact Of Generative Ai On Smart Warehousing Market
- 5.17.1 Top Use Cases And Market Potential
- 5.17.1.1 Key Use Cases
- 5.17.2 Best Practices
- 5.17.2.1 Retail Industry
- 5.17.2.2 Automotive Industry
- 5.17.2.3 Pharmaceutical Infrastructure
- 5.17.3 Case Studies Of Generative Ai Implementation
- 5.17.3.1 Optimizing Warehouse Layouts For Increased Throughput
- 5.17.3.2 Real-time Task Scheduling For Autonomous Vehicles
- 5.17.3.3 Custom Packaging Solutions Via Generative Ai
- 5.17.4 Client Readiness And Impact Assessment
- 5.17.4.1 Client A: An E-commerce Enterprise
- 5.17.4.2 Client B: Healthcare Supply Chain Enterprise
- 5.17.4.3 Client C: A Global Manufacturing Enterprise
- 5.18 Impact Of 2025 Us Tariff – Smart Warehousing Market
- 5.18.1 Introduction
- 5.18.2 Key Tariff Rates
- 5.18.3 Price Impact Analysis
- 5.18.3.1 Strategic Shifts And Emerging Trends
- 5.18.4 Impact On Country/Region
- 5.18.4.1 Us
- 5.18.4.1.1 Strategic Shifts And Key Observations
- 5.18.4.2 China
- 5.18.4.2.1 Strategic Shifts And Key Observations
- 5.18.4.3 Europe
- 5.18.4.3.1 Strategic Shifts And Key Observations
- 5.18.4.4 Asia Pacific
- 5.18.4.4.1 Strategic Shifts And Key Observations
- 5.18.5 Impact On End-use Industries
- 5.18.5.1 Retail & Ecommerce
- 5.18.5.2 Healthcare & Pharmaceuticals
- 5.18.5.3 3pl
- 5.18.5.4 Manufacturing
- 5.18.5.5 Food & Beverages
- 6 Smart Warehousing Market, By Offering
- 6.1 Introduction
- 6.1.1 Drivers: Smart Warehousing Market, By Offering
- 6.2 Automated Systems
- 6.2.1 Robotics Systems
- 6.2.1.1 Automated Guided Vehicles
- 6.2.1.1.1 Automating Repetitive Material Transport, Boosting Efficiency And Reducing Labor Dependency In Warehouses
- 6.2.1.2 Automated Mobile Robots
- 6.2.1.2.1 Gaining Prominence For Flexible Navigation In Dynamic Warehouse Settings
- 6.2.1.3 Robotics Picking Systems
- 6.2.1.3.1 Critical For Accelerating Order Fulfillment With Improved Accuracy And Reduced Human Error
- 6.2.1.4 Palletizing & Depalletizing Systems
- 6.2.1.4.1 Essential For Optimizing Pallet Handling, Minimizing Manual Labor, And Ensuring Consistent Load Stability
- 6.2.2 Automated Storage & Retrieval Systems
- 6.2.3 Automated Identification And Data Collection
- 6.2.4 Conveyors And Sorters
- 6.3 Software
- 6.3.1 Transport Management Systems
- 6.3.1.1 Real-time Visibility And Tracking
- 6.3.1.1.1 Fundamental For Supply Chain Transparency, Enabling Proactive Inventory And Shipment Management
- 6.3.1.2 Route Optimization & Transportation Management
- 6.3.1.2.1 Used To Cut Delivery Times And Transportation Costs In Complex Logistics Networks
- 6.3.1.3 Fleet Management Solutions
- 6.3.1.3.1 Maximizing Vehicle Utilization And Improving Overall Transportation Efficiency
- 6.3.1.4 Freight Audits And Payment Solutions
- 6.3.1.4.1 Ensures Accurate Billing And Reduces Financial Errors, Saving Significant Operational Costs
- 6.3.1.5 Load Optimization
- 6.3.1.5.1 Vital For Maximizing Transport Capacity, Reducing Shipping Expenses, And Lowering Carbon Footprint
- 6.3.2 Warehouse Management Systems
- 6.3.2.1 Inventory Management
- 6.3.2.1.1 Critical For Balancing Stock Levels And Preventing Costly Overstocking Or Shortages
- 6.3.2.2 Yard Management
- 6.3.2.2.1 Increasingly Important For Smoothing Inbound/Outbound Flows And Reducing Dock Congestion
- 6.3.2.3 Shipping Management
- 6.3.2.3.1 Accelerate Dispatch Processes And Ensure Timely Deliveries
- 6.3.2.4 Labor Management
- 6.3.2.4.1 Optimize Workforce Productivity Amid Labor Shortages
- 6.3.2.5 Vendor Management
- 6.3.2.5.1 Ensures Efficient Coordination With Suppliers, Improving Inbound Supply Reliability
- 6.3.2.6 Others
- 6.3.3 Order Management Software
- 6.3.3.1 Chatbots & Virtual Assistants
- 6.3.3.1.1 Enhance Customer Engagement And Operational Responsiveness Through Ai-driven Automation
- 6.3.3.2 Documents & Record Management
- 6.3.3.2.1 Crucial For Regulatory Compliance And Seamless Warehouse Operations
- 6.3.3.3 Sales Accounting Processing
- 6.3.3.3.1 Improves Financial Accuracy And Expedites Transaction Processing In Warehouse Operations
- 6.3.3.4 Others
- 7 Smart Warehousing Software Market, By Deployment Mode
- 7.1 Introduction
- 7.2 Cloud
- 7.2.1 Offers Scalable, Flexible Warehouse Management For Businesses Seeking Cost-effective And Easily Updatable Solutions
- 7.3 On-premises
- 7.3.1 Provides Full Control And Customization Of Warehouse Operations With Enhanced Security
- 8 Smart Warehousing Software Market, Services
- 8.1 Introduction
- 8.2 Professional Services
- 8.2.1 Training & Consulting
- 8.2.1.1 Effectively Adopt And Scale Automation And Ai-driven Software Technologies
- 8.2.2 System Integration & Implementation
- 8.2.2.1 Seamless Connectivity Across Robotics, Wms, And Iot Platforms For End-to-end Smart Warehouse Operations
- 8.2.3 Support & Maintenance
- 8.2.3.1 Optimize Performance And Extend Life Of Smart Warehousing Systems And Infrastructure
- 8.3 Managed Services
- 9 Smart Warehousing Market, By Technology
- 9.1 Introduction
- 9.1.1 Drivers: Smart Warehousing Market, By Technology
- 9.2 Iot
- 9.2.1 Enabling Real-time Tracking, Predictive Maintenance, And Smart Inventory Systems Through Connected Devices
- 9.3 Robotics And Automation
- 9.3.1 Witnessing Accelerated Adoption As Warehouses Strive For Higher Throughput And Reduced Errors
- 9.4 Ai
- 9.4.1 Gaining Momentum In Smart Warehousing By Driving Autonomous Decisions
- 9.5 Blockchain
- 9.5.1 Enhancing Data Integrity And Traceability In Warehouse Transactions And Multi-party Logistics Environments
- 9.6 Big Data & Analytics
- 9.6.1 Essential For Demand Forecasting And Resource Optimization Across Complex Warehouse Operations
- 10 Smart Warehousing Market, By Warehouse Size
- 10.1 Introduction
- 10.1.1 Drivers: Smart Warehousing Market, By Warehouse Size
- 10.2 Small
- 10.2.1 Growing Demand For Cost-effective, Flexible Solutions To Drive Adoption Of Scalable Smart Technologies In Limited Spaces
- 10.3 Medium
- 10.3.1 Increasing Order Volumes And Operational Complexity To Fuel Integration Of Automation And Iot For Enhanced Efficiency
- 10.4 Large
- 10.4.1 Need To Manage Vast Inventories And Optimize Complex Supply Chains To Drive Investment In Advanced Automation And Ai Systems
- 11 Smart Warehousing Market, By Vertical
- 11.1 Introduction
- 11.1.1 Drivers: Smart Warehousing Market, By Vertical
- 11.2 Transportation And Logistics
- 11.2.1 Third-party Logistics
- 11.2.1.1 Empowering 3pl Providers To Offer Faster, Scalable, And Value-added Logistics Services Through Automation And Real-time Visibility
- 11.2.2 Freight Forwarders
- 11.2.2.1 Leveraging Intelligent Warehousing To Streamline Global Cargo Handling And Reduce Transit Delays
- 11.2.3 Last-mile Delivery Providers
- 11.2.3.1 Enabling Last-mile Delivery Firms To Meet Rapid Fulfillment Demands Through Micro-fulfillment And Real-time Inventory Updates
- 11.3 Manufacturing
- 11.4 Healthcare And Life Sciences
- 11.5 Food And Beverages
- 11.6 Retail And E-commerce
- 11.7 Other Verticals
- 12 Smart Warehousing Market, By Region
- 12.1 Introduction
- 12.2 North America
- 12.2.1 North America: Smart Warehousing Market Drivers
- 12.2.2 North America: Macroeconomic Outlook
- 12.2.3 Us
- 12.2.3.1 Need For Faster And More Efficient Supply Chain Operations To Drive Market
- 12.2.4 Canada
- 12.2.4.1 E-commerce Growth And Digital Innovation To Propel Warehousing Expansion
- 12.3 Europe
- 12.3.1 Europe: Smart Warehousing Market Drivers
- 12.3.2 Europe: Macroeconomic Outlook
- 12.3.3 Uk
- 12.3.3.1 Increasing Need For Efficient Order Fulfillment Solutions To Drive Market
- 12.3.4 Germany
- 12.3.4.1 Rising Focus On Automation In Manufacturing And Logistics To Fuel Market
- 12.3.5 France
- 12.3.5.1 Growth In Logistics And Retail Sectors To Boost Demand
- 12.3.6 Italy
- 12.3.6.1 Leveraging Strategic Location To Enhance Logistics Efficiency And Technology Adoption
- 12.3.7 Spain
- 12.3.7.1 Capitalizing On Strategic Location To Become A Logistics And Tech Innovation Hub
- 12.3.8 Rest Of Europe
- 12.4 Asia Pacific
- 12.4.1 Asia Pacific: Smart Warehousing Market Drivers
- 12.4.2 Asia Pacific: Macroeconomic Outlook
- 12.4.3 China
- 12.4.3.1 E-commerce Expansion To Drive Demand For Automated And Efficient Warehousing
- 12.4.4 Japan
- 12.4.4.1 Growing E-commerce Industry To Boost Adoption Of Smart Warehousing Solutions
- 12.4.5 India
- 12.4.5.1 Rapid E-commerce Growth In Tier 2 And Tier 3 Cities To Drive Market
- 12.4.6 South Korea
- 12.4.6.1 Accelerating Smart Warehousing Through Advanced Automation And Government-backed Innovation To Drive Market
- 12.4.7 Australia & New Zealand
- 12.4.7.1 Commitment To Sustainability To Encourage Adoption Of Eco-friendly Warehousing Solutions
- 12.4.8 Asean
- 12.4.8.1 Driving Smart Warehousing Growth Through Rapid E-commerce Expansion And Urbanization
- 12.4.9 Rest Of Asia Pacific
- 12.5 Middle East & Africa
- 12.5.1 Middle East & Africa: Smart Warehousing Market Drivers
- 12.5.2 Middle East & Africa: Macroeconomic Outlook
- 12.5.3 Middle East
- 12.5.3.1 Saudi Arabia
- 12.5.3.1.1 Launching Advanced Robotics To Boost Efficiency In Smart Warehousing
- 12.5.3.2 Uae
- 12.5.3.2.1 Implementing 5g And Agvs To Transform Warehouse Operations
- 12.5.3.3 Qatar
- 12.5.3.3.1 Digitizing Warehouse Access Through National Warehousing Marketplace Platform To Drive Market
- 12.5.3.4 Turkey
- 12.5.3.4.1 Expanding Licensed Warehousing To Boost Agricultural Efficiency And Food Security
- 12.5.3.5 Rest Of Middle East
- 12.5.4 Africa
- 12.6 Latin America
- 12.6.1 Latin America: Smart Warehousing Market Drivers
- 12.6.2 Latin America: Macroeconomic Outlook
- 12.6.3 Brazil
- 12.6.3.1 Harnessing Ai And Blockchain To Revolutionize Smart Warehousing Efficiency
- 12.6.4 Mexico
- 12.6.4.1 Expansion Of E-commerce Accelerates Demand For Automated And Efficient Warehouse Solutions
- 12.6.5 Argentina
- 12.6.5.1 Accelerating Digital Transformation And Automation To Boost Warehousing Efficiency
- 12.6.6 Rest Of Latin America
- 13 Competitive Landscape
- 13.1 Overview
- 13.2 Key Player Strategies/Right To Win, 2022–2025
- 13.3 Revenue Analysis, 2020–2024
- 13.4 Market Share Analysis, 2024
- 13.5 Brand/Product Comparative Analysis
- 13.5.1 Product Comparative Analysis, By Software Vendors
- 13.5.1.1 Manhattan Associates (Manhattan Active Wm)
- 13.5.1.2 Oracle (Oracle Warehouse Management Cloud)
- 13.5.1.3 Sap (Sap Extended Warehouse Management - Sap Ewm)
- 13.5.1.4 Infor (Infor Wms)
- 13.5.1.5 Ibm (Ibm Sterling Supply Chain Suite)
- 13.5.2 Brand Comparative Analysis, By Automated System Vendors
- 13.5.2.1 Körber
- 13.5.2.2 Abb
- 13.5.2.3 Ssi Schäefer
- 13.5.2.4 Dematic
- 13.5.2.5 Honeywell
- 13.6 Company Valuation And Financial Metrics
- 13.7 Company Evaluation Matrix: Key Players, 2024
- 13.7.1 Stars
- 13.7.2 Emerging Leaders
- 13.7.3 Pervasive Players
- 13.7.4 Participants
- 13.7.5 Company Footprint: Key Players, 2024
- 13.7.5.1 Company Footprint
- 13.7.5.2 Region Footprint
- 13.7.5.2.1 Offering Footprint
- 13.7.5.2.2 Technology Footprint
- 13.7.5.2.3 Vertical Footprint
- 13.8 Company Evaluation Matrix: Startups/Smes, 2024
- 13.8.1 Progressive Companies
- 13.8.2 Responsive Companies
- 13.8.3 Dynamic Companies
- 13.8.4 Starting Blocks
- 13.8.5 Competitive Benchmarking: Startups/Smes, 2024
- 13.8.5.1 Detailed List Of Key Startups/Smes
- 13.8.5.2 Competitive Benchmarking Of Key Startups/Smes
- 13.9 Competitive Scenario
- 13.9.1 Product Launches And Enhancements
- 13.9.2 Deals
- 14 Company Profiles
- 14.1 Introduction
- 14.2 Key Players
- 14.2.1 Manhattan Associates
- 14.2.1.1 Business Overview
- 14.2.1.2 Products/Solutions/Services Offered
- 14.2.1.3 Recent Developments
- 14.2.1.4 Mnm View
- 14.2.1.4.1 Key Strengths/Right To Win
- 14.2.1.4.2 Strategic Choices
- 14.2.1.4.3 Weaknesses And Competitive Threats
- 14.2.2 Körber
- 14.2.2.1 Business Overview
- 14.2.2.2 Products/Solutions/Services Offered
- 14.2.2.3 Recent Developments
- 14.2.2.4 Mnm View
- 14.2.2.4.1 Key Strengths/Right To Win
- 14.2.2.4.2 Strategic Choices
- 14.2.2.4.3 Weaknesses And Competitive Threats
- 14.2.3 Oracle
- 14.2.3.1 Business Overview
- 14.2.3.2 Products/Solutions/Services Offered
- 14.2.3.3 Recent Developments
- 14.2.3.4 Mnm View
- 14.2.3.4.1 Key Strengths/Right To Win
- 14.2.3.4.2 Strategic Choices
- 14.2.3.4.3 Weaknesses And Competitive Threats
- 14.2.4 Sap
- 14.2.4.1 Business Overview
- 14.2.4.2 Products/Solutions/Services Offered
- 14.2.4.3 Recent Developments
- 14.2.4.4 Mnm View
- 14.2.4.4.1 Key Strengths/Right To Win
- 14.2.4.4.2 Strategic Choices
- 14.2.4.4.3 Weaknesses And Competitive Threats
- 14.2.5 Dematic (Kion Group)
- 14.2.5.1 Business Overview
- 14.2.5.2 Products/Solutions/Services Offered
- 14.2.5.3 Recent Developments
- 14.2.5.4 Mnm View
- 14.2.5.4.1 Key Strengths/Right To Win
- 14.2.5.4.2 Strategic Choices
- 14.2.5.4.3 Weaknesses And Competitive Threats
- 14.2.6 Psi Group
- 14.2.6.1 Business Overview
- 14.2.6.2 Products/Solutions/Services Offered
- 14.2.6.3 Recent Developments
- 14.2.7 Samsung Sds
- 14.2.7.1 Business Overview
- 14.2.7.2 Products/Solutions/Services Offered
- 14.2.7.3 Recent Developments
- 14.2.8 Reply
- 14.2.8.1 Business Overview
- 14.2.8.2 Products/Solutions/Services Offered
- 14.2.8.3 Recent Developments
- 14.2.9 Infor
- 14.2.9.1 Business Overview
- 14.2.9.2 Products/Solutions/Services Offered
- 14.2.9.3 Recent Developments
- 14.2.10 Ibm
- 14.2.10.1 Business Overview
- 14.2.10.2 Products/Solutions/Services Offered
- 14.2.10.3 Recent Developments
- 14.2.11 Blue Yonder
- 14.2.11.1 Business Overview
- 14.2.11.2 Products/Solutions/Services Offered
- 14.2.11.3 Recent Developments
- 14.2.12 Tecsys
- 14.2.13 Generix Group
- 14.2.14 Microlistics
- 14.2.15 Abb
- 14.2.16 Microsoft
- 14.2.17 Epicor
- 14.2.18 Made4net
- 14.2.19 Mantis
- 14.2.20 Softeon
- 14.2.21 Synergy Logistics
- 14.2.22 E2open
- 14.2.23 Vinculum
- 14.2.24 Mecalux
- 14.2.25 Ssi Schaefer
- 14.2.26 Honeywell
- 14.2.27 Swisslog (Kuka)
- 14.2.28 Daifuku
- 14.3.1 Wareiq
- 14.3.2 Foysonis
- 14.3.3 Increff
- 14.3.4 Locus Robotics
- 14.3.5 Shiphero
- 14.3.6 Cin7 Orderhive
- 14.3.7 Easyecom
- 14.3.8 Unicommerce
- 14.3.9 Onward Robotics
- 14.3.10 Logiwa
- 14.3.11 Greyorange
- 14.3.12 Righthand Robotics
- 14.3.13 Magazino
- 14.3.14 Covariant
- 14.3.15 Attabotics
- 14.3.16 Geek+
- 14.3.17 Nomagic
- 14.3.18 Plus One Robotics
- 15 Adjacent And Related Markets
- 15.1 Introduction
- 15.2 Logistics Automation Market - Global Forecast To 2029
- 15.2.1 Market Definition
- 15.2.2 Market Overview
- 15.2.2.1 Logistics Automation Market, By Offering
- 15.2.2.2 Logistics Automation Market, Software By Deployment Mode
- 15.2.2.3 Logistics Automation Market, By Logistics Type
- 15.2.2.4 Logistics Automation Market, By Technology
- 15.2.2.5 Logistics Automation Market, By End User
- 15.2.2.6 Logistics Automation Market, By Region
- 15.3 Supply Chain Analytics Market - Global Forecast To 2027
- 15.3.1 Market Definition
- 15.3.2 Market Overview
- 15.3.2.1 Supply Chain Analytics Market, By Offering
- 15.3.2.2 Supply Chain Analytics Market, By Technology
- 15.3.2.3 Supply Chain Analytics Market, By Deployment Mode
- 15.3.2.4 Supply Chain Analytics Market, By Organization Size
- 15.3.2.5 Supply Chain Analytics Market, By Business Function
- 15.3.2.6 Supply Chain Analytics Market, By Vertical
- 15.3.2.7 Supply Chain Analytics Market, By Region
- 16 Appendix
- 16.1 Discussion Guide
- 16.2 Knowledgestore: Marketsandmarkets’ Subscription Portal
- 16.3 Available Customizations
- 16.4 Related Reports
- 16.5 Author Details
Research Assistance
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