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Smart Warehousing Market by Offering (AGVs, AMRs, AS/RS, AIDC, Palletizing & Depalletizing Systems, Conveyors & Sorters, TMS, WMS, Order Management), Technology (AI, IoT, Blockchain, Big Data & Analytics, Robotics & Automation) - Global Forecast to 2030

出版商 MarketsandMarkets產業別 ICT & Media出版日期 2025-06-05頁數 338報告編號 TC7993

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報告摘要

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% The report includes key players offering smart warehousing. It profiles major vendors 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). 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.
目錄 Table of Contents
1 INTRODUCTION 33 1.1 STUDY OBJECTIVES 33 1.2 MARKET DEFINITION 33 1.3 STUDY SCOPE 34 1.3.1 MARKET SEGMENTATION AND REGIONAL SCOPE 34 1.3.2 INCLUSIONS AND EXCLUSIONS 35 1.4 YEARS CONSIDERED 35 1.5 CURRENCY CONSIDERED 36 1.6 STAKEHOLDERS 36 1.7 SUMMARY OF CHANGES 37 2 RESEARCH METHODOLOGY 38 2.1 RESEARCH DATA 38 2.1.1 SECONDARY DATA 39 2.1.2 PRIMARY DATA 39 2.1.2.1 Breakdown of primary profiles 40 2.1.2.2 Key insights from industry experts 41 2.2 MARKET SIZE ESTIMATION 41 2.2.1 TOP-DOWN APPROACH 42 2.2.2 BOTTOM-UP APPROACH 43 2.2.3 SMART WAREHOUSING MARKET ESTIMATION: DEMAND-SIDE ANALYSIS 44 2.3 DATA TRIANGULATION 46 2.4 RISK ASSESSMENT 47 2.5 RESEARCH ASSUMPTIONS 47 2.6 RESEARCH LIMITATIONS 48 3 EXECUTIVE SUMMARY 49 4 PREMIUM INSIGHTS 54 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN SMART WAREHOUSING MARKET 54 4.2 SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS 54 4.3 NORTH AMERICA: SMART WAREHOUSING MARKET, BY OFFERING AND WAREHOUSE SIZE 55 4.4 SMART WAREHOUSING MARKET, BY REGION 55   5 MARKET OVERVIEW AND INDUSTRY TRENDS 56 5.1 INTRODUCTION 56 5.2 MARKET DYNAMICS 57 5.2.1 INTRODUCTION 57 5.2.2 DRIVERS 57 5.2.2.1 Rising focus on green initiatives and sustainability to minimize waste 57 5.2.2.2 Proliferation of smartphones for faster and efficient management of goods 58 5.2.2.3 Emergence of multi-channel distribution networks 58 5.2.2.4 Dynamic nature and globalization of supply chain networks 59 5.2.2.5 Convergence of IoT and 5G to accelerate warehouse intelligence 59 5.2.3 RESTRAINTS 59 5.2.3.1 Lack of uniform governance standards in fragmented logistics industry 59 5.2.3.2 Data security and privacy concerns 60 5.2.4 OPPORTUNITIES 60 5.2.4.1 Adoption of AR and VR technologies to streamline warehouse operations 60 5.2.4.2 Rising focus on Warehouse 4.0 to reduce operating costs 60 5.2.4.3 Advancements in self-driving vehicles and robotics 61 5.2.5 CHALLENGES 61 5.2.5.1 Lack of awareness about smart warehousing systems among small-scale industries 61 5.2.5.2 High implementation and maintenance costs for SMEs 62 5.3 EVOLUTION OF SMART WAREHOUSING 62 5.4 SMART WAREHOUSING MARKET: ECOSYSTEM ANALYSIS 63 5.5 CASE STUDY ANALYSIS 66 5.5.1 COSTA LOGISTICS TRANSFORMS DISTRIBUTION EFFICIENCY WITH MANHATTAN ASSOCIATES’ WAREHOUSE MANAGEMENT SOLUTION 66 5.5.2 NAGEL GROUP OPTIMIZES WAREHOUSE OPERATIONS USING PSIWMS AND AI-SUPPORTED LOGISTICS SOFTWARE FROM PSI GROUP 66 5.5.3 ENDRIES INTERNATIONAL AND INFOR ACHIEVE 40% WAREHOUSE-PRODUCTIVITY BOOST WITH CLOUD-BASED INFOR WMS ON AWS 67 5.6 SUPPLY CHAIN ANALYSIS 68 5.7 REGULATORY LANDSCAPE 69 5.7.1 REGULATORY FRAMEWORKS 73 5.7.1.1 General Data Protection Regulation (GDPR) 73 5.7.1.2 Occupational Safety and Health Administration (OSHA) 73 5.7.1.3 Federal Motor Carrier Safety Administration (FMCSA) 73 5.8 PRICING ANALYSIS 73 5.8.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING, 2025 74 5.8.2 AVERAGE SELLING PRICE, BY SOFTWARE, 2025 75   5.9 TECHNOLOGY ANALYSIS 75 5.9.1 KEY TECHNOLOGIES 76 5.9.1.1 Voice recognition 76 5.9.1.2 Computer vision 76 5.9.1.3 Robotic process automation 76 5.9.1.4 Augmented Reality/Virtual Reality (AR/VR) 76 5.9.2 ADJACENT TECHNOLOGIES 77 5.9.2.1 Cybersecurity 77 5.9.2.2 Digital twins 77 5.9.2.3 3D printing 77 5.9.3 COMPLEMENTARY TECHNOLOGIES 78 5.9.3.1 Cloud & edge computing 78 5.9.3.2 5G networks & connectivity 78 5.9.3.3 Predictive maintenance 78 5.10 PATENT ANALYSIS 78 5.11 PORTER’S FIVE FORCES ANALYSIS 80 5.11.1 THREAT OF NEW ENTRANTS 81 5.11.2 THREAT OF SUBSTITUTES 82 5.11.3 BARGAINING POWER OF SUPPLIERS 82 5.11.4 BARGAINING POWER OF BUYERS 82 5.11.5 INTENSITY OF COMPETITIVE RIVALRY 82 5.12 KEY STAKEHOLDERS AND BUYING CRITERIA 83 5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS 83 5.12.2 BUYING CRITERIA 83 5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 85 5.14 KEY CONFERENCES AND EVENTS, 2025–2026 85 5.15 TRADE ANALYSIS 86 5.15.1 EXPORT SCENARIO 86 5.15.2 IMPORT SCENARIO 87 5.16 INVESTMENT AND FUNDING SCENARIO 88 5.17 IMPACT OF GENERATIVE AI ON SMART WAREHOUSING MARKET 89 5.17.1 TOP USE CASES AND MARKET POTENTIAL 89 5.17.1.1 Key use cases 90 5.17.2 BEST PRACTICES 91 5.17.2.1 Retail industry 91 5.17.2.2 Automotive industry 91 5.17.2.3 Pharmaceutical infrastructure 91 5.17.3 CASE STUDIES OF GENERATIVE AI IMPLEMENTATION 92 5.17.3.1 Optimizing warehouse layouts for increased throughput 92 5.17.3.2 Real-time task scheduling for autonomous vehicles 92 5.17.3.3 Custom packaging solutions via generative AI 92   5.17.4 CLIENT READINESS AND IMPACT ASSESSMENT 92 5.17.4.1 Client A: An e-commerce enterprise 92 5.17.4.2 Client B: Healthcare supply chain enterprise 92 5.17.4.3 Client C: A global manufacturing enterprise 93 5.18 IMPACT OF 2025 US TARIFF – SMART WAREHOUSING MARKET 93 5.18.1 INTRODUCTION 93 5.18.2 KEY TARIFF RATES 94 5.18.3 PRICE IMPACT ANALYSIS 94 5.18.3.1 Strategic shifts and emerging trends 94 5.18.4 IMPACT ON COUNTRY/REGION 95 5.18.4.1 US 95 5.18.4.1.1 Strategic Shifts and Key Observations 95 5.18.4.2 China 95 5.18.4.2.1 Strategic Shifts and Key Observations 96 5.18.4.3 Europe 96 5.18.4.3.1 Strategic Shifts and Key Observations 96 5.18.4.4 Asia Pacific 96 5.18.4.4.1 Strategic Shifts and Key Observations 96 5.18.5 IMPACT ON END-USE INDUSTRIES 96 5.18.5.1 Retail & eCommerce 96 5.18.5.2 Healthcare & Pharmaceuticals 97 5.18.5.3 3PL 97 5.18.5.4 Manufacturing 97 5.18.5.5 Food & Beverages 97 6 SMART WAREHOUSING MARKET, BY OFFERING 98 6.1 INTRODUCTION 99 6.1.1 DRIVERS: SMART WAREHOUSING MARKET, BY OFFERING 99 6.2 AUTOMATED SYSTEMS 101 6.2.1 ROBOTICS SYSTEMS 103 6.2.1.1 Automated guided vehicles 104 6.2.1.1.1 Automating repetitive material transport, boosting efficiency and reducing labor dependency in warehouses 104 6.2.1.2 Automated mobile robots 105 6.2.1.2.1 Gaining prominence for flexible navigation in dynamic warehouse settings 105 6.2.1.3 Robotics picking systems 105 6.2.1.3.1 Critical for accelerating order fulfillment with improved accuracy and reduced human error 105 6.2.1.4 Palletizing & depalletizing systems 105 6.2.1.4.1 Essential for optimizing pallet handling, minimizing manual labor, and ensuring consistent load stability 105   6.2.2 AUTOMATED STORAGE & RETRIEVAL SYSTEMS 105 6.2.3 AUTOMATED IDENTIFICATION AND DATA COLLECTION 106 6.2.4 CONVEYORS AND SORTERS 106 6.3 SOFTWARE 106 6.3.1 TRANSPORT MANAGEMENT SYSTEMS 108 6.3.1.1 Real-time visibility and tracking 109 6.3.1.1.1 Fundamental for supply chain transparency, enabling proactive inventory and shipment management 109 6.3.1.2 Route optimization & transportation management 109 6.3.1.2.1 Used to cut delivery times and transportation costs in complex logistics networks 109 6.3.1.3 Fleet management solutions 110 6.3.1.3.1 Maximizing vehicle utilization and improving overall transportation efficiency 110 6.3.1.4 Freight audits and payment solutions 110 6.3.1.4.1 Ensures accurate billing and reduces financial errors, saving significant operational costs 110 6.3.1.5 Load optimization 110 6.3.1.5.1 Vital for maximizing transport capacity, reducing shipping expenses, and lowering carbon footprint 110 6.3.2 WAREHOUSE MANAGEMENT SYSTEMS 111 6.3.2.1 Inventory management 112 6.3.2.1.1 Critical for balancing stock levels and preventing costly overstocking or shortages 112 6.3.2.2 Yard management 112 6.3.2.2.1 Increasingly important for smoothing inbound/outbound flows and reducing dock congestion 112 6.3.2.3 Shipping management 112 6.3.2.3.1 Accelerate dispatch processes and ensure timely deliveries 112 6.3.2.4 Labor management 113 6.3.2.4.1 Optimize workforce productivity amid labor shortages 113 6.3.2.5 Vendor management 113 6.3.2.5.1 Ensures efficient coordination with suppliers, improving inbound supply reliability 113 6.3.2.6 Others 113 6.3.3 ORDER MANAGEMENT SOFTWARE 113 6.3.3.1 Chatbots & virtual assistants 114 6.3.3.1.1 Enhance customer engagement and operational responsiveness through AI-driven automation 114 6.3.3.2 Documents & record management 115 6.3.3.2.1 Crucial for regulatory compliance and seamless warehouse operations 115 6.3.3.3 Sales accounting processing 115 6.3.3.3.1 Improves financial accuracy and expedites transaction processing in warehouse operations 115 6.3.3.4 Others 115 7 SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE 116 7.1 INTRODUCTION 116 7.2 CLOUD 117 7.2.1 OFFERS SCALABLE, FLEXIBLE WAREHOUSE MANAGEMENT FOR BUSINESSES SEEKING COST-EFFECTIVE AND EASILY UPDATABLE SOLUTIONS 117 7.3 ON-PREMISES 118 7.3.1 PROVIDES FULL CONTROL AND CUSTOMIZATION OF WAREHOUSE OPERATIONS WITH ENHANCED SECURITY 118 8 SMART WAREHOUSING SOFTWARE MARKET, SERVICES 120 8.1 INTRODUCTION 120 8.2 PROFESSIONAL SERVICES 122 8.2.1 TRAINING & CONSULTING 124 8.2.1.1 Effectively adopt and scale automation and AI-driven software technologies 124 8.2.2 SYSTEM INTEGRATION & IMPLEMENTATION 125 8.2.2.1 Seamless connectivity across robotics, WMS, and IoT platforms for end-to-end smart warehouse operations 125 8.2.3 SUPPORT & MAINTENANCE 126 8.2.3.1 Optimize performance and extend life of smart warehousing systems and infrastructure 126 8.3 MANAGED SERVICES 127 9 SMART WAREHOUSING MARKET, BY TECHNOLOGY 128 9.1 INTRODUCTION 129 9.1.1 DRIVERS: SMART WAREHOUSING MARKET, BY TECHNOLOGY 129 9.2 IOT 130 9.2.1 ENABLING REAL-TIME TRACKING, PREDICTIVE MAINTENANCE, AND SMART INVENTORY SYSTEMS THROUGH CONNECTED DEVICES 130 9.3 ROBOTICS AND AUTOMATION 131 9.3.1 WITNESSING ACCELERATED ADOPTION AS WAREHOUSES STRIVE FOR HIGHER THROUGHPUT AND REDUCED ERRORS 131 9.4 AI 132 9.4.1 GAINING MOMENTUM IN SMART WAREHOUSING BY DRIVING AUTONOMOUS DECISIONS 132 9.5 BLOCKCHAIN 133 9.5.1 ENHANCING DATA INTEGRITY AND TRACEABILITY IN WAREHOUSE TRANSACTIONS AND MULTI-PARTY LOGISTICS ENVIRONMENTS 133 9.6 BIG DATA & ANALYTICS 134 9.6.1 ESSENTIAL FOR DEMAND FORECASTING AND RESOURCE OPTIMIZATION ACROSS COMPLEX WAREHOUSE OPERATIONS 134   10 SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE 136 10.1 INTRODUCTION 137 10.1.1 DRIVERS: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE 137 10.2 SMALL 138 10.2.1 GROWING DEMAND FOR COST-EFFECTIVE, FLEXIBLE SOLUTIONS TO DRIVE ADOPTION OF SCALABLE SMART TECHNOLOGIES IN LIMITED SPACES 138 10.3 MEDIUM 139 10.3.1 INCREASING ORDER VOLUMES AND OPERATIONAL COMPLEXITY TO FUEL INTEGRATION OF AUTOMATION AND IOT FOR ENHANCED EFFICIENCY 139 10.4 LARGE 140 10.4.1 NEED TO MANAGE VAST INVENTORIES AND OPTIMIZE COMPLEX SUPPLY CHAINS TO DRIVE INVESTMENT IN ADVANCED AUTOMATION AND AI SYSTEMS 140 11 SMART WAREHOUSING MARKET, BY VERTICAL 142 11.1 INTRODUCTION 143 11.1.1 DRIVERS: SMART WAREHOUSING MARKET, BY VERTICAL 143 11.2 TRANSPORTATION AND LOGISTICS 145 11.2.1 THIRD-PARTY LOGISTICS 147 11.2.1.1 Empowering 3PL providers to offer faster, scalable, and value-added logistics services through automation and real-time visibility 147 11.2.2 FREIGHT FORWARDERS 147 11.2.2.1 Leveraging intelligent warehousing to streamline global cargo handling and reduce transit delays 147 11.2.3 LAST-MILE DELIVERY PROVIDERS 148 11.2.3.1 Enabling last-mile delivery firms to meet rapid fulfillment demands through micro-fulfillment and real-time inventory updates 148 11.3 MANUFACTURING 148 11.4 HEALTHCARE AND LIFE SCIENCES 149 11.5 FOOD AND BEVERAGES 150 11.6 RETAIL AND E-COMMERCE 151 11.7 OTHER VERTICALS 152 12 SMART WAREHOUSING MARKET, BY REGION 154 12.1 INTRODUCTION 155 12.2 NORTH AMERICA 157 12.2.1 NORTH AMERICA: SMART WAREHOUSING MARKET DRIVERS 157 12.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK 158 12.2.3 US 166 12.2.3.1 Need for faster and more efficient supply chain operations to drive market 166 12.2.4 CANADA 167 12.2.4.1 E-commerce growth and digital innovation to propel warehousing expansion 167   12.3 EUROPE 168 12.3.1 EUROPE: SMART WAREHOUSING MARKET DRIVERS 168 12.3.2 EUROPE: MACROECONOMIC OUTLOOK 169 12.3.3 UK 176 12.3.3.1 Increasing need for efficient order fulfillment solutions to drive market 176 12.3.4 GERMANY 177 12.3.4.1 Rising focus on automation in manufacturing and logistics to fuel market 177 12.3.5 FRANCE 178 12.3.5.1 Growth in logistics and retail sectors to boost demand 178 12.3.6 ITALY 179 12.3.6.1 Leveraging strategic location to enhance logistics efficiency and technology adoption 179 12.3.7 SPAIN 180 12.3.7.1 Capitalizing on strategic location to become a logistics and tech innovation hub 180 12.3.8 REST OF EUROPE 181 12.4 ASIA PACIFIC 182 12.4.1 ASIA PACIFIC: SMART WAREHOUSING MARKET DRIVERS 183 12.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK 183 12.4.3 CHINA 192 12.4.3.1 E-Commerce expansion to drive demand for automated and efficient warehousing 192 12.4.4 JAPAN 193 12.4.4.1 Growing e-commerce industry to boost adoption of smart warehousing solutions 193 12.4.5 INDIA 194 12.4.5.1 Rapid e-commerce growth in Tier 2 and Tier 3 cities to drive market 194 12.4.6 SOUTH KOREA 195 12.4.6.1 Accelerating smart warehousing through advanced automation and government-backed innovation to drive market 195 12.4.7 AUSTRALIA & NEW ZEALAND 196 12.4.7.1 Commitment to sustainability to encourage adoption of eco-friendly warehousing solutions 196 12.4.8 ASEAN 197 12.4.8.1 Driving smart warehousing growth through rapid e-commerce expansion and urbanization 197 12.4.9 REST OF ASIA PACIFIC 198 12.5 MIDDLE EAST & AFRICA 200 12.5.1 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET DRIVERS 200 12.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK 200   12.5.3 MIDDLE EAST 207 12.5.3.1 Saudi Arabia 208 12.5.3.1.1 Launching advanced robotics to boost efficiency in smart warehousing 208 12.5.3.2 UAE 209 12.5.3.2.1 Implementing 5G and AGVs to transform warehouse operations 209 12.5.3.3 Qatar 210 12.5.3.3.1 Digitizing warehouse Access through national warehousing marketplace platform to drive market 210 12.5.3.4 Turkey 211 12.5.3.4.1 Expanding licensed warehousing to boost agricultural efficiency and food security 211 12.5.3.5 Rest of Middle East 212 12.5.4 AFRICA 213 12.6 LATIN AMERICA 214 12.6.1 LATIN AMERICA: SMART WAREHOUSING MARKET DRIVERS 215 12.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK 215 12.6.3 BRAZIL 223 12.6.3.1 Harnessing AI and Blockchain to revolutionize smart warehousing efficiency 223 12.6.4 MEXICO 224 12.6.4.1 Expansion of e-commerce accelerates demand for automated and efficient warehouse solutions 224 12.6.5 ARGENTINA 225 12.6.5.1 Accelerating digital transformation and automation to boost warehousing efficiency 225 12.6.6 REST OF LATIN AMERICA 226 13 COMPETITIVE LANDSCAPE 228 13.1 OVERVIEW 228 13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022–2025 228 13.3 REVENUE ANALYSIS, 2020–2024 230 13.4 MARKET SHARE ANALYSIS, 2024 231 13.5 BRAND/PRODUCT COMPARATIVE ANALYSIS 234 13.5.1 PRODUCT COMPARATIVE ANALYSIS, BY SOFTWARE VENDORS 234 13.5.1.1 Manhattan Associates (Manhattan Active WM) 234 13.5.1.2 Oracle (Oracle Warehouse Management Cloud) 234 13.5.1.3 SAP (SAP Extended Warehouse Management - SAP EWM) 235 13.5.1.4 Infor (Infor WMS) 235 13.5.1.5 IBM (IBM Sterling Supply Chain Suite) 235   13.5.2 BRAND COMPARATIVE ANALYSIS, BY AUTOMATED SYSTEM VENDORS 236 13.5.2.1 Körber 236 13.5.2.2 ABB 236 13.5.2.3 SSI Schäefer 237 13.5.2.4 Dematic 237 13.5.2.5 Honeywell 237 13.6 COMPANY VALUATION AND FINANCIAL METRICS 237 13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024 238 13.7.1 STARS 238 13.7.2 EMERGING LEADERS 238 13.7.3 PERVASIVE PLAYERS 239 13.7.4 PARTICIPANTS 239 13.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024 240 13.7.5.1 Company footprint 240 13.7.5.2 Region footprint 241 13.7.5.2.1 Offering footprint 242 13.7.5.2.2 Technology footprint 243 13.7.5.2.3 Vertical footprint 244 13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024 245 13.8.1 PROGRESSIVE COMPANIES 245 13.8.2 RESPONSIVE COMPANIES 245 13.8.3 DYNAMIC COMPANIES 245 13.8.4 STARTING BLOCKS 245 13.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024 247 13.8.5.1 Detailed list of key startups/SMEs 247 13.8.5.2 Competitive benchmarking of key startups/SMEs 249 13.9 COMPETITIVE SCENARIO 250 13.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS 250 13.9.2 DEALS 251 14 COMPANY PROFILES 256 14.1 INTRODUCTION 256 14.2 KEY PLAYERS 256 14.2.1 MANHATTAN ASSOCIATES 256 14.2.1.1 Business overview 256 14.2.1.2 Products/Solutions/Services offered 257 14.2.1.3 Recent developments 258 14.2.1.4 MnM view 259 14.2.1.4.1 Key strengths/Right to win 259 14.2.1.4.2 Strategic choices 259 14.2.1.4.3 Weaknesses and competitive threats 259   14.2.2 KÖRBER 260 14.2.2.1 Business overview 260 14.2.2.2 Products/Solutions/Services offered 260 14.2.2.3 Recent developments 261 14.2.2.4 MnM view 262 14.2.2.4.1 Key strengths/Right to win 262 14.2.2.4.2 Strategic choices 262 14.2.2.4.3 Weaknesses and competitive threats 262 14.2.3 ORACLE 263 14.2.3.1 Business overview 263 14.2.3.2 Products/Solutions/Services offered 264 14.2.3.3 Recent developments 265 14.2.3.4 MnM view 265 14.2.3.4.1 Key strengths/Right to win 265 14.2.3.4.2 Strategic choices 265 14.2.3.4.3 Weaknesses and competitive threats 265 14.2.4 SAP 266 14.2.4.1 Business overview 266 14.2.4.2 Products/Solutions/Services offered 267 14.2.4.3 Recent developments 268 14.2.4.4 MnM view 269 14.2.4.4.1 Key strengths/Right to win 269 14.2.4.4.2 Strategic choices 269 14.2.4.4.3 Weaknesses and competitive threats 269 14.2.5 DEMATIC (KION GROUP) 270 14.2.5.1 Business overview 270 14.2.5.2 Products/Solutions/Services offered 271 14.2.5.3 Recent developments 271 14.2.5.4 MnM view 271 14.2.5.4.1 Key strengths/Right to win 271 14.2.5.4.2 Strategic choices 272 14.2.5.4.3 Weaknesses and competitive threats 272 14.2.6 PSI GROUP 273 14.2.6.1 Business overview 273 14.2.6.2 Products/Solutions/Services offered 274 14.2.6.3 Recent developments 275 14.2.7 SAMSUNG SDS 276 14.2.7.1 Business overview 276 14.2.7.2 Products/Solutions/Services offered 277 14.2.7.3 Recent developments 278   14.2.8 REPLY 279 14.2.8.1 Business overview 279 14.2.8.2 Products/Solutions/Services offered 280 14.2.8.3 Recent developments 281 14.2.9 INFOR 282 14.2.9.1 Business overview 282 14.2.9.2 Products/Solutions/Services offered 282 14.2.9.3 Recent developments 283 14.2.10 IBM 284 14.2.10.1 Business overview 284 14.2.10.2 Products/Solutions/Services offered 285 14.2.10.3 Recent developments 286 14.2.11 BLUE YONDER 287 14.2.11.1 Business overview 287 14.2.11.2 Products/Solutions/Services offered 287 14.2.11.3 Recent developments 288 14.2.12 TECSYS 289 14.2.13 GENERIX GROUP 290 14.2.14 MICROLISTICS 290 14.2.15 ABB 291 14.2.16 MICROSOFT 291 14.2.17 EPICOR 292 14.2.18 MADE4NET 292 14.2.19 MANTIS 293 14.2.20 SOFTEON 293 14.2.21 SYNERGY LOGISTICS 294 14.2.22 E2OPEN 294 14.2.23 VINCULUM 295 14.2.24 MECALUX 295 14.2.25 SSI SCHAEFER 296 14.2.26 HONEYWELL 296 14.2.27 SWISSLOG (KUKA) 297 14.2.28 DAIFUKU 297 14.3 OTHER KEY PLAYERS 298 14.3.1 WAREIQ 298 14.3.2 FOYSONIS 298 14.3.3 INCREFF 299 14.3.4 LOCUS ROBOTICS 300 14.3.5 SHIPHERO 301 14.3.6 CIN7 ORDERHIVE 301 14.3.7 EASYECOM 302 14.3.8 UNICOMMERCE 303 14.3.9 ONWARD ROBOTICS 304 14.3.10 LOGIWA 305 14.3.11 GREYORANGE 306 14.3.12 RIGHTHAND ROBOTICS 307 14.3.13 MAGAZINO 308 14.3.14 COVARIANT 309 14.3.15 ATTABOTICS 310 14.3.16 GEEK+ 311 14.3.17 NOMAGIC 312 14.3.18 PLUS ONE ROBOTICS 313 15 ADJACENT AND RELATED MARKETS 314 15.1 INTRODUCTION 314 15.2 LOGISTICS AUTOMATION MARKET - GLOBAL FORECAST TO 2029 314 15.2.1 MARKET DEFINITION 314 15.2.2 MARKET OVERVIEW 314 15.2.2.1 Logistics automation market, by offering 314 15.2.2.2 Logistics automation market, software by deployment mode 315 15.2.2.3 Logistics automation market, by logistics type 316 15.2.2.4 Logistics automation market, by technology 317 15.2.2.5 Logistics automation market, by end user 318 15.2.2.6 Logistics automation market, by region 319 15.3 SUPPLY CHAIN ANALYTICS MARKET - GLOBAL FORECAST TO 2027 321 15.3.1 MARKET DEFINITION 321 15.3.2 MARKET OVERVIEW 321 15.3.2.1 Supply chain analytics market, by offering 321 15.3.2.2 Supply chain analytics market, by technology 322 15.3.2.3 Supply chain analytics market, by deployment mode 323 15.3.2.4 Supply chain analytics market, by organization size 323 15.3.2.5 Supply chain analytics market, by business function 324 15.3.2.6 Supply chain analytics market, by vertical 325 15.3.2.7 Supply chain analytics market, by region 326 16 APPENDIX 328 16.1 DISCUSSION GUIDE 328 16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 334 16.3 AVAILABLE CUSTOMIZATIONS 336 16.4 RELATED REPORTS 336 16.5 AUTHOR DETAILS 337
圖表清單 List of Tables & Figures
TABLE 1 USD EXCHANGE RATES, 2020–2024 36 TABLE 2 LIST OF PRIMARY PARTICIPANTS 40 TABLE 3 GLOBAL SMART WAREHOUSING MARKET SIZE AND GROWTH RATE, 2020–2024 (USD MILLION, Y-O-Y %) 50 TABLE 4 GLOBAL SMART WAREHOUSING MARKET SIZE AND GROWTH RATE, 2025–2030 (USD MILLION, Y-O-Y %) 51 TABLE 5 SMART WAREHOUSING MARKET: ROLE OF PLAYERS IN ECOSYSTEM 63 TABLE 6 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 69 TABLE 7 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 71 TABLE 8 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 72 TABLE 9 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 72 TABLE 10 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 73 TABLE 11 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING, 2025 74 TABLE 12 AVERAGE SELLING PRICE, BY SOFTWARE, 2025 75 TABLE 13 LIST OF KEY PATENTS 79 TABLE 14 PORTER FIVE FORCES’ IMPACT ON SMART WAREHOUSING MARKET 80 TABLE 15 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 83 TABLE 16 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 84 TABLE 17 SMART WAREHOUSING MARKET: DETAILED LIST OF KEY CONFERENCES AND EVENTS, 2025–2026 85 TABLE 18 EXPORT DATA FOR HS CODE 8428, BY KEY COUNTRY, 2017-2024 87 TABLE 19 IMPORT DATA FOR HS CODE 8428, BY KEY COUNTRY, 2017-2024 88 TABLE 20 TABLE 1: US ADJUSTED RECIPROCAL TARIFF RATES 94 TABLE 21 SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 100 TABLE 22 SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 100 TABLE 23 AUTOMATED SYSTEMS: SMART WAREHOUSING MARKET, BY TYPE, 2020–2024 (USD MILLION) 102 TABLE 24 AUTOMATED SYSTEMS: SMART WAREHOUSING MARKET, BY TYPE, 2025–2030 (USD MILLION) 102 TABLE 25 AUTOMATED SYSTEMS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 102 TABLE 26 AUTOMATED SYSTEMS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 103 TABLE 27 ROBOTICS SYSTEMS: SMART WAREHOUSING MARKET, BY TYPE, 2020–2024 (USD MILLION) 104 TABLE 28 ROBOTICS SYSTEMS: SMART WAREHOUSING MARKET, BY TYPE, 2025–2030 (USD MILLION) 104 TABLE 29 SOFTWARE: SMART WAREHOUSING MARKET, BY TYPE, 2020–2024 (USD MILLION) 107 TABLE 30 SOFTWARE: SMART WAREHOUSING MARKET, BY TYPE, 2025–2030 (USD MILLION) 107 TABLE 31 TMS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 108 TABLE 32 TMS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 109 TABLE 33 WMS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 111 TABLE 34 WMS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 111 TABLE 35 OMS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 114 TABLE 36 OMS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 114 TABLE 37 SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION) 117 TABLE 38 SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2025–2030 (USD MILLION) 117 TABLE 39 CLOUD: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 118 TABLE 40 CLOUD: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 118 TABLE 41 ON-PREMISES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 119 TABLE 42 ON-PREMISES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 119 TABLE 43 SERVICES: SMART WAREHOUSING MARKET, BY TYPE, 2020–2024 (USD MILLION) 121 TABLE 44 SERVICES: SMART WAREHOUSING MARKET, BY TYPE, 2025–2030 (USD MILLION) 121 TABLE 45 SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 121 TABLE 46 SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 121 TABLE 47 PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY TYPE, 2020–2024 (USD MILLION) 122 TABLE 48 PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY TYPE, 2025–2030 (USD MILLION) 123 TABLE 49 PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 123 TABLE 50 PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 123 TABLE 51 TRAINING & CONSULTING SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 124 TABLE 52 TRAINING & CONSULTING SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 124 TABLE 53 SYSTEM INTEGRATION & IMPLEMENTATION SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 125 TABLE 54 SYSTEM INTEGRATION & IMPLEMENTATION SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 125 TABLE 55 SUPPORT & MAINTENANCE SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 126 TABLE 56 SUPPORT & MAINTENANCE SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 126 TABLE 57 MANAGED SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 127 TABLE 58 MANAGED SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 127 TABLE 59 SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2020–2024 (USD MILLION) 130 TABLE 60 SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 130 TABLE 61 IOT: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 131 TABLE 62 IOT: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 131 TABLE 63 ROBOTICS AND AUTOMATION: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 132 TABLE 64 ROBOTICS AND AUTOMATION: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 132 TABLE 65 AI TECHNOLOGY: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 133 TABLE 66 AI TECHNOLOGY: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 133 TABLE 67 BLOCKCHAIN: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 134 TABLE 68 BLOCKCHAIN: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 134 TABLE 69 BIG DATA & ANALYTICS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 135 TABLE 70 BIG DATA & ANALYTICS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 135 TABLE 71 SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2020–2024 (USD MILLION) 137 TABLE 72 SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2025–2030 (USD MILLION) 138 TABLE 73 SMALL: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 138 TABLE 74 SMALL: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 139 TABLE 75 MEDIUM: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 139 TABLE 76 MEDIUM: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 140 TABLE 77 LARGE: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 140 TABLE 78 LARGE: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 141 TABLE 79 SMART WAREHOUSING MARKET, BY VERTICAL, 2020–2024 (USD MILLION) 144 TABLE 80 SMART WAREHOUSING MARKET, BY VERTICAL, 2025–2030 (USD MILLION) 145 TABLE 81 SMART WAREHOUSING MARKET, BY TRANSPORTATION & LOGISTICS, 2020–2024 (USD MILLION) 146 TABLE 82 SMART WAREHOUSING MARKET, BY TRANSPORTATION & LOGISTICS, 2025–2030 (USD MILLION) 146 TABLE 83 TRANSPORTATION & LOGISTICS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 146 TABLE 84 TRANSPORTATION & LOGISTICS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 147 TABLE 85 MANUFACTURING: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 148 TABLE 86 MANUFACTURING: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 149 TABLE 87 HEALTHCARE & LIFE SCIENCES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 149 TABLE 88 HEALTHCARE & LIFE SCIENCES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 150 TABLE 89 FOOD AND BEVERAGES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 150 TABLE 90 FOOD AND BEVERAGES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 151 TABLE 91 RETAIL & E-COMMERCE: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 151 TABLE 92 RETAIL & E-COMMERCE: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 152 TABLE 93 OTHER VERTICALS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 152 TABLE 94 OTHER VERTICALS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 153 TABLE 95 SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION) 156 TABLE 96 SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION) 156 TABLE 97 NORTH AMERICA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 159 TABLE 98 NORTH AMERICA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 159 TABLE 99 NORTH AMERICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2020–2024 (USD MILLION) 159 TABLE 100 NORTH AMERICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2025–2030 (USD MILLION) 160 TABLE 101 NORTH AMERICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2020–2024 USD MILLION) 160 TABLE 102 NORTH AMERICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2025–2030 (USD MILLION) 160 TABLE 103 NORTH AMERICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2020–2024 (USD MILLION) 161 TABLE 104 NORTH AMERICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2025–2030 (USD MILLION) 161 TABLE 105 NORTH AMERICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION) 161 TABLE 106 NORTH AMERICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2025–2030 (USD MILLION) 161 TABLE 107 NORTH AMERICA: SMART WAREHOUSING MARKET, BY SERVICES, 2020–2024 (USD MILLION) 162 TABLE 108 NORTH AMERICA: SMART WAREHOUSING MARKET, BY SERVICES, 2025–2030 (USD MILLION) 162 TABLE 109 NORTH AMERICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2020–2024 (USD MILLION) 162 TABLE 110 NORTH AMERICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2025–2030 (USD MILLION) 162 TABLE 111 NORTH AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2020–2024 (USD MILLION) 163 TABLE 112 NORTH AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2025–2030 (USD MILLION) 163 TABLE 113 NORTH AMERICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2020–2024 (USD MILLION) 163 TABLE 114 NORTH AMERICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 164 TABLE 115 NORTH AMERICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2020–2024 (USD MILLION) 164 TABLE 116 NORTH AMERICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2025–2030 (USD MILLION) 164 TABLE 117 NORTH AMERICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2020–2024 (USD MILLION) 165 TABLE 118 NORTH AMERICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2025–2030 (USD MILLION) 165 TABLE 119 NORTH AMERICA: SMART WAREHOUSING MARKET, BY COUNTRY, 2020–2024 (USD MILLION) 165 TABLE 120 NORTH AMERICA: SMART WAREHOUSING MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 165 TABLE 121 US: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 166 TABLE 122 US: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 166 TABLE 123 CANADA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 167 TABLE 124 CANADA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 167 TABLE 125 EUROPE: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 169 TABLE 126 EUROPE: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 169 TABLE 127 EUROPE: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2020–2024 (USD MILLION) 170 TABLE 128 EUROPE: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2025–2030 (USD MILLION) 170 TABLE 129 EUROPE: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2020–2024 USD MILLION) 170 TABLE 130 EUROPE: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2025–2030 (USD MILLION) 171 TABLE 131 EUROPE: SMART WAREHOUSING MARKET, BY SOFTWARE, 2020–2024 (USD MILLION) 171 TABLE 132 EUROPE: SMART WAREHOUSING MARKET, BY SOFTWARE, 2025–2030 (USD MILLION) 171 TABLE 133 EUROPE: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION) 171 TABLE 134 EUROPE: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2025–2030 (USD MILLION) 172 TABLE 135 EUROPE: SMART WAREHOUSING MARKET, BY SERVICES, 2020–2024 (USD MILLION) 172 TABLE 136 EUROPE: SMART WAREHOUSING MARKET, BY SERVICES, 2025–2030 (USD MILLION) 172 TABLE 137 EUROPE: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2020–2024 (USD MILLION) 172 TABLE 138 EUROPE: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2025–2030 (USD MILLION) 173 TABLE 139 EUROPE: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2020–2024 (USD MILLION) 173 TABLE 140 EUROPE: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2025–2030 (USD MILLION) 173 TABLE 141 EUROPE: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2020–2024 (USD MILLION) 173 TABLE 142 EUROPE: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 174 TABLE 143 EUROPE: SMART WAREHOUSING MARKET, BY VERTICAL, 2020–2024 (USD MILLION) 174 TABLE 144 EUROPE: SMART WAREHOUSING MARKET, BY VERTICAL, 2025–2030 (USD MILLION) 174 TABLE 145 EUROPE: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2020–2024 (USD MILLION) 175 TABLE 146 EUROPE: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2025–2030 (USD MILLION) 175 TABLE 147 EUROPE: SMART WAREHOUSING MARKET, BY COUNTRY, 2020–2024 (USD MILLION) 175 TABLE 148 EUROPE: SMART WAREHOUSING MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 176 TABLE 149 UK: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 176 TABLE 150 UK: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 177 TABLE 151 GERMANY: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 177 TABLE 152 GERMANY: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 178 TABLE 153 FRANCE: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 178 TABLE 154 FRANCE: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 179 TABLE 155 ITALY: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 179 TABLE 156 ITALY: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 180 TABLE 157 SPAIN: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 180 TABLE 158 SPAIN: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 181 TABLE 159 REST OF EUROPE: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 182 TABLE 160 REST OF EUROPE: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 182 TABLE 161 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 184 TABLE 162 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 185 TABLE 163 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2020–2024 (USD MILLION) 185 TABLE 164 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2025–2030 (USD MILLION) 185 TABLE 165 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2020–2024 USD MILLION) 186 TABLE 166 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2025–2030 (USD MILLION) 186 TABLE 167 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY SOFTWARE, 2020–2024 (USD MILLION) 186 TABLE 168 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY SOFTWARE, 2025–2030 (USD MILLION) 187 TABLE 169 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION) 187 TABLE 170 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2025–2030 (USD MILLION) 187 TABLE 171 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY SERVICES, 2020–2024 (USD MILLION) 187 TABLE 172 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY SERVICES, 2025–2030 (USD MILLION) 188 TABLE 173 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2020–2024 (USD MILLION) 188 TABLE 174 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2025–2030 (USD MILLION) 188 TABLE 175 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2020–2024 (USD MILLION) 188 TABLE 176 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2025–2030 (USD MILLION) 189 TABLE 177 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2020–2024 (USD MILLION) 189 TABLE 178 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 189 TABLE 179 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY VERTICAL, 2020–2024 (USD MILLION) 190 TABLE 180 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY VERTICAL, 2025–2030 (USD MILLION) 190 TABLE 181 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2020–2024 (USD MILLION) 190 TABLE 182 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2025–2030 (USD MILLION) 191 TABLE 183 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY COUNTRY, 2020–2024 (USD MILLION) 191 TABLE 184 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 191 TABLE 185 CHINA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 192 TABLE 186 CHINA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 192 TABLE 187 JAPAN: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 193 TABLE 188 JAPAN: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 193 TABLE 189 INDIA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 194 TABLE 190 INDIA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 194 TABLE 191 SOUTH KOREA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 195 TABLE 192 SOUTH KOREA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 195 TABLE 193 AUSTRALIA & NEW ZEALAND: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 196 TABLE 194 AUSTRALIA & NEW ZEALAND: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 196 TABLE 195 ASEAN: SMART WAREHOUSING MARKET, BY COUNTRY, 2020–2024 (USD MILLION) 197 TABLE 196 ASEAN: SMART WAREHOUSING MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 198 TABLE 197 ASEAN: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 198 TABLE 198 ASEAN: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 198 TABLE 199 REST OF ASIA PACIFIC: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 199 TABLE 200 REST OF ASIA PACIFIC: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 199 TABLE 201 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 201 TABLE 202 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 201 TABLE 203 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2020–2024 (USD MILLION) 201 TABLE 204 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2025–2030 (USD MILLION) 202 TABLE 205 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2020–2024 USD MILLION) 202 TABLE 206 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2025–2030 (USD MILLION) 202 TABLE 207 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2020–2024 (USD MILLION) 203 TABLE 208 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2025–2030 (USD MILLION) 203 TABLE 209 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION) 203 TABLE 210 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2025–2030 (USD MILLION) 203 TABLE 211 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY SERVICES, 2020–2024 (USD MILLION) 204 TABLE 212 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY SERVICES, 2025–2030 (USD MILLION) 204 TABLE 213 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2020–2024 (USD MILLION) 204 TABLE 214 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2025–2030 (USD MILLION) 204 TABLE 215 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2020–2024 (USD MILLION) 205 TABLE 216 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2025–2030 (USD MILLION) 205 TABLE 217 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2020–2024 (USD MILLION) 205 TABLE 218 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 206 TABLE 219 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2020–2024 (USD MILLION) 206 TABLE 220 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2025–2030 (USD MILLION) 206 TABLE 221 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2020–2024 (USD MILLION) 207 TABLE 222 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2025–2030 (USD MILLION) 207 TABLE 223 MIDDLE EAST: SMART WAREHOUSING MARKET, BY COUNTRY, 2020–2024 (USD MILLION) 208 TABLE 224 MIDDLE EAST: SMART WAREHOUSING MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 208 TABLE 225 SAUDI ARABIA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 209 TABLE 226 SAUDI ARABIA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 209 TABLE 227 UAE: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 210 TABLE 228 UAE: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 210 TABLE 229 QATAR: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 211 TABLE 230 QATAR: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 211 TABLE 231 TURKEY: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 212 TABLE 232 TURKEY: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 212 TABLE 233 REST OF MIDDLE EAST: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 213 TABLE 234 REST OF MIDDLE EAST: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 213 TABLE 235 AFRICA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 214 TABLE 236 AFRICA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 214 TABLE 237 LATIN AMERICA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 216 TABLE 238 LATIN AMERICA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 216 TABLE 239 LATIN AMERICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2020–2024 (USD MILLION) 216 TABLE 240 LATIN AMERICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2025–2030 (USD MILLION) 217 TABLE 241 LATIN AMERICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2020–2024 USD MILLION) 217 TABLE 242 LATIN AMERICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2025–2030 (USD MILLION) 217 TABLE 243 LATIN AMERICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2020–2024 (USD MILLION) 218 TABLE 244 LATIN AMERICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2025–2030 (USD MILLION) 218 TABLE 245 LATIN AMERICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION) 218 TABLE 246 LATIN AMERICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2025–2030 (USD MILLION) 218 TABLE 247 LATIN AMERICA: SMART WAREHOUSING MARKET, BY SERVICES, 2020–2024 (USD MILLION) 219 TABLE 248 LATIN AMERICA: SMART WAREHOUSING MARKET, BY SERVICES, 2025–2030 (USD MILLION) 219 TABLE 249 LATIN AMERICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2020–2024 (USD MILLION) 219 TABLE 250 LATIN AMERICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2025–2030 (USD MILLION) 219 TABLE 251 LATIN AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2020–2024 (USD MILLION) 220 TABLE 252 LATIN AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2025–2030 (USD MILLION) 220 TABLE 253 LATIN AMERICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2020–2024 (USD MILLION) 220 TABLE 254 LATIN AMERICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 221 TABLE 255 LATIN AMERICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2020–2024 (USD MILLION) 221 TABLE 256 LATIN AMERICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2025–2030 (USD MILLION) 221 TABLE 257 LATIN AMERICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2020–2024 (USD MILLION) 222 TABLE 258 LATIN AMERICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2025–2030 (USD MILLION) 222 TABLE 259 LATIN AMERICA: SMART WAREHOUSING MARKET, BY COUNTRY, 2020–2024 (USD MILLION) 222 TABLE 260 LATIN AMERICA: SMART WAREHOUSING MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 223 TABLE 261 BRAZIL: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 223 TABLE 262 BRAZIL: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 224 TABLE 263 MEXICO: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 224 TABLE 264 MEXICO: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 225 TABLE 265 ARGENTINA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 225 TABLE 266 ARGENTINA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 226 TABLE 267 REST OF LATIN AMERICA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION) 227 TABLE 268 REST OF LATIN AMERICA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION) 227 TABLE 269 OVERVIEW OF STRATEGIES ADOPTED BY KEY SMART WAREHOUSING VENDORS, 2022–2025 228 TABLE 270 SMART WAREHOUSING MARKET: DEGREE OF COMPETITION 232 TABLE 271 SMART WAREHOUSING MARKET: REGION FOOTPRINT 241 TABLE 272 SMART WAREHOUSING MARKET: OFFERING FOOTPRINT 242 TABLE 273 SMART WAREHOUSING MARKET: TECHNOLOGY FOOTPRINT 243 TABLE 274 SMART WAREHOUSING MARKET: VERTICAL FOOTPRINT 244 TABLE 275 SMART WAREHOUSING MARKET: KEY STARTUPS/SMES, 2024 247 TABLE 276 SMART WAREHOUSING MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES, 2024 249 TABLE 277 SMART WAREHOUSING MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, MARCH 2020–MAY 2025 250 TABLE 278 SMART WAREHOUSING MARKET: DEALS, MARCH 2020–MAY 2025 251 TABLE 279 MANHATTAN ASSOCIATES: BUSINESS OVERVIEW 256 TABLE 280 MANHATTAN ASSOCIATES: PRODUCTS/SOLUTIONS/SERVICES OFFERED 257 TABLE 281 MANHATTAN ASSOCIATES: PRODUCT LAUNCHES AND ENHANCEMENTS 258 TABLE 282 MANHATTAN ASSOCIATES: DEALS 258 TABLE 283 KÖRBER: BUSINESS OVERVIEW 260 TABLE 284 KÖRBER: PRODUCTS/SOLUTIONS/SERVICES OFFERED 260 TABLE 285 KÖRBER: DEALS 261 TABLE 286 ORACLE: BUSINESS OVERVIEW 263 TABLE 287 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 264 TABLE 288 ORACLE: DEALS 265 TABLE 289 SAP: BUSINESS OVERVIEW 266 TABLE 290 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED 267 TABLE 291 SAP: DEALS 268 TABLE 292 DEMATIC (KION GROUP): BUSINESS OVERVIEW 270 TABLE 293 DEMATIC (KION GROUP): PRODUCTS/SOLUTIONS/SERVICES OFFERED 271 TABLE 294 DEMATIC (KION GROUP): DEALS 271 TABLE 295 PSI GROUP: BUSINESS OVERVIEW 273 TABLE 296 PSI GROUP: PRODUCTS/SOLUTIONS/SERVICES OFFERED 274 TABLE 297 PSI GROUP: DEALS 275 TABLE 298 SAMSUNG SDS: BUSINESS OVERVIEW 276 TABLE 299 SAMSUNG SDS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 277 TABLE 300 SAMSUNG SDS: DEALS 278 TABLE 301 REPLY: BUSINESS OVERVIEW 279 TABLE 302 REPLY: PRODUCTS/SOLUTIONS/SERVICES OFFERED 280 TABLE 303 REPLY: DEALS 281 TABLE 304 INFOR: BUSINESS OVERVIEW 282 TABLE 305 INFOR: PRODUCTS/SOLUTIONS/SERVICES OFFERED 282 TABLE 306 INFOR: DEALS 283 TABLE 307 IBM: BUSINESS OVERVIEW 284 TABLE 308 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 285 TABLE 309 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS 286 TABLE 310 IBM: DEALS 286 TABLE 311 BLUE YONDER: BUSINESS OVERVIEW 287 TABLE 312 BLUE YONDER: PRODUCTS/SOLUTIONS/SERVICES OFFERED 287 TABLE 313 BLUE YONDER: DEALS 288 TABLE 314 LOGISTICS AUTOMATION MARKET, BY OFFERING, 2019–2023 (USD MILLION) 315 TABLE 315 LOGISTICS AUTOMATION MARKET, BY OFFERING, 2024–2029 (USD MILLION) 315 TABLE 316 SOFTWARE: LOGISTICS AUTOMATION MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION) 316 TABLE 317 SOFTWARE: LOGISTICS AUTOMATION MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION) 316 TABLE 318 LOGISTICS AUTOMATION MARKET, BY LOGISTICS TYPE, 2019–2023 (USD MILLION) 317 TABLE 319 LOGISTICS AUTOMATION MARKET, BY LOGISTICS TYPE, 2024–2029 (USD MILLION) 317 TABLE 320 LOGISTICS AUTOMATION MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION) 318 TABLE 321 LOGISTICS AUTOMATION MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION) 318 TABLE 322 LOGISTICS AUTOMATION MARKET, BY ENTERPRISE TYPE, 2019–2023 (USD MILLION) 319 TABLE 323 LOGISTICS AUTOMATION MARKET, BY ENTERPRISE TYPE, 2024–2029 (USD MILLION) 319 TABLE 324 LOGISTICS AUTOMATION MARKET, BY REGION, 2019–2023 (USD MILLION) 320 TABLE 325 LOGISTICS AUTOMATION MARKET, BY REGION, 2024–2029 (USD MILLION) 320 TABLE 326 SUPPLY CHAIN ANALYTICS MARKET, BY OFFERING, 2016–2021 (USD BILLION) 321 TABLE 327 SUPPLY CHAIN ANALYTICS MARKET, BY OFFERING, 2022–2027 (USD BILLION) 322 TABLE 328 SUPPLY CHAIN ANALYTICS MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION) 322 TABLE 329 SUPPLY CHAIN ANALYTICS MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION) 322 TABLE 330 SUPPLY CHAIN ANALYTICS MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION) 323 TABLE 331 SUPPLY CHAIN ANALYTICS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION) 323 TABLE 332 SUPPLY CHAIN ANALYTICS MARKET SIZE, BY ORGANIZATION, 2016–2021 (USD BILLION) 324 TABLE 333 SUPPLY CHAIN ANALYTICS MARKET SIZE, BY ORGANIZATION, 2022–2027 (USD BILLION) 324 TABLE 334 SUPPLY CHAIN ANALYTICS MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION) 324 TABLE 335 SUPPLY CHAIN ANALYTICS MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION) 325 TABLE 336 SUPPLY CHAIN ANALYTICS MARKET, BY VERTICAL, 2016–2021 (USD BILLION) 325 TABLE 337 SUPPLY CHAIN ANALYTICS MARKET, BY VERTICAL, 2022–2027 (USD BILLION) 326 TABLE 338 SUPPLY CHAIN ANALYTICS MARKET, BY REGION, 2016–2021 (USD BILLION) 326 TABLE 339 SUPPLY CHAIN ANALYTICS MARKET, BY REGION, 2022–2027 (USD BILLION) 327 FIGURE 1 SMART WAREHOUSING MARKET: RESEARCH DESIGN 38 FIGURE 2 BREAKDOWN OF PRIMARY INTERVIEWS, BY COMPANY TYPE, DESIGNATION, AND REGION 40 FIGURE 3 SMART WAREHOUSING MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 42 FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1 (SUPPLY SIDE): REVENUE OF VENDORS IN SMART WAREHOUSING MARKET 43 FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 2 (DEMAND SIDE): SMART WAREHOUSING MARKET 44 FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: DEMAND-SIDE ANALYSIS 44 FIGURE 7 MARKET SIZE ESTIMATION USING BOTTOM-UP APPROACH 45 FIGURE 8 SMART WAREHOUSING MARKET: DATA TRIANGULATION 46 FIGURE 9 AUTOMATED SYSTEMS SEGMENT TO DOMINATE MARKET IN 2025 51 FIGURE 10 ROBOTICS & AUTOMATION TO HOLD LARGEST MARKET SHARE IN 2025 51 FIGURE 11 LARGE WAREHOUSE SIZE SEGMENT TO LEAD MARKET IN 2025 52 FIGURE 12 HEALTHCARE & LIFE SCIENCES TO HOLD HIGHEST GROWTH RATE IN 2025 52 FIGURE 13 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 53 FIGURE 14 CONVERGENCE OF IOT AND 5G ACCELERATING WAREHOUSE INTELLIGENCE TO DRIVE MARKET 54 FIGURE 15 AUTOMATIC IDENTIFICATION & DATA COLLECTION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 54 FIGURE 16 AUTOMATED SYSTEMS AND LARGE WAREHOUSE SIZE SEGMENTS TO DOMINATE MARKET IN NORTH AMERICA IN 2025 55 FIGURE 17 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2025 55 FIGURE 18 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: SMART WAREHOUSING MARKET 57 FIGURE 19 EVOLUTION: SMART WAREHOUSING 62 FIGURE 20 SMART WAREHOUSING MARKET ECOSYSTEM 65 FIGURE 21 SMART WAREHOUSING MARKET: SUPPLY CHAIN ANALYSIS 68 FIGURE 22 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING, 2025 74 FIGURE 23 LIST OF KEY PATENTS FOR SMART WAREHOUSING, 2015–2025 79 FIGURE 24 SMART WAREHOUSING MARKET: PORTER’S FIVE FORCES ANALYSIS 81 FIGURE 25 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 83 FIGURE 26 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 84 FIGURE 27 SMART WAREHOUSING MARKET: TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS 85 FIGURE 28 EXPORT SCENARIO FOR HS CODE 8428, BY KEY COUNTRY, 2017–2024 86 FIGURE 29 IMPORT VALUE FOR HS CODE 8428IMPORT, BY KEY COUNTRY, 2017–2024 87 FIGURE 30 INVESTMENT AND FUNDING SCENARIO, 2019–2024 (USD MILLION) 88 FIGURE 31 MARKET POTENTIAL OF GENERATIVE AI IN ENHANCING SMART WAREHOUSING ACROSS VARIOUS TYPES OF SOLUTIONS 89 FIGURE 32 GENERATIVE AI BEST PRACTICES ACROSS MAJOR INDUSTRIES 91 FIGURE 33 SMART WAREHOUSING SERVICES TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 100 FIGURE 34 AUTOMATIC IDENTIFICATION & DATA COLLECTION SEGMENT TO RECORD HIGHEST CAGR DURING FORECAST PERIOD 101 FIGURE 35 AUTONOMOUS MOBILE ROBOTS SEGMENT TO RECORD HIGHEST CAGR DURING FORECAST PERIOD 103 FIGURE 36 TRANSPORT MANAGEMENT SYSTEMS TO RECORD HIGHEST CAGR DURING FORECAST PERIOD 107 FIGURE 37 3PL TO RECORD HIGHEST CAGR DURING FORECAST PERIOD 108 FIGURE 38 CLOUD DEPLOYMENT SEGMENT TO RECORD HIGHER CAGR DURING FORECAST PERIOD 116 FIGURE 39 MANAGED SERVICES SEGMENT TO RECORD HIGHER CAGR DURING FORECAST PERIOD 120 FIGURE 40 SUPPORT & MAINTENANCE SERVICES TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 122 FIGURE 41 ROBOTICS & AUTOMATION SEGMENT TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD 129 FIGURE 42 SMALL WAREHOUSES TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 137 FIGURE 43 HEALTHCARE AND LIFE SCIENCES VERTICAL TO WITNESS HIGHEST GROWTH DURING FORECAST PERIOD 144 FIGURE 44 3PL VERTICAL TO WITNESS HIGHEST GROWTH DURING FORECAST PERIOD 145 FIGURE 45 NORTH AMERICA TO BE LARGEST REGIONAL MARKET DURING FORECAST PERIOD 155 FIGURE 46 INDIA TO WITNESS FASTEST GROWTH DURING FORECAST PERIOD 156 FIGURE 47 NORTH AMERICA: SMART WAREHOUSING MARKET SNAPSHOT 158 FIGURE 48 ASIA PACIFIC: SMART WAREHOUSING MARKET SNAPSHOT 184 FIGURE 49 SMART WAREHOUSING MARKET: REVENUE ANALYSIS OF KEY PLAYERS, 2020–2024 230 FIGURE 50 SMART WAREHOUSING MARKET SHARE ANALYSIS, 2024 232 FIGURE 51 PRODUCT COMPARATIVE ANALYSIS, BY SOFTWARE VENDORS 234 FIGURE 52 BRAND COMPARATIVE ANALYSIS, BY AUTOMATED SYSTEM VENDORS 236 FIGURE 53 FINANCIAL METRICS OF KEY VENDORS 237 FIGURE 54 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS 238 FIGURE 55 SMART WAREHOUSING MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024 239 FIGURE 56 SMART WAREHOUSING MARKET: COMPANY FOOTPRINT 240 FIGURE 57 SMART WAREHOUSING MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024 246 FIGURE 58 MANHATTAN ASSOCIATES: COMPANY SNAPSHOT 257 FIGURE 59 ORACLE: COMPANY SNAPSHOT 264 FIGURE 60 SAP: COMPANY SNAPSHOT 267 FIGURE 61 PSI GROUP: COMPANY SNAPSHOT 274 FIGURE 62 SAMSUNG SDS: COMPANY SNAPSHOT 277 FIGURE 63 REPLY: COMPANY SNAPSHOT 280 FIGURE 64 IBM: COMPANY SNAPSHOT 285

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