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AI in Supply Chain Market by Offering (Software, Services), Deployment (Cloud, On-premises, Hybrid), Application (Demand Planning & Forecasting, Warehouse & Transportation Management, Supply Chain Risk Management) - Global Forecast to 2032

出版商 MarketsandMarkets產業別 Electronics & Semiconductor出版日期 2026-01-30頁數 311報告編號 SE6402

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報告摘要

The global AI in supply chain market is projected to reach USD 50.41 billion by 2032 from USD 13.93 billion in 2025 at a CAGR of 20.2%. The market is growing rapidly as organizations respond to greater supply chain complexity, demand changes, and regular operational disruptions. Businesses are using AI to improve demand forecasting, manage inventory, and plan logistics. This enables quicker and more accurate decisions. Growth is further boosted by cloud-based systems, real-time data use, and a rise in digital supply chain platforms. The focus on resilience, cost savings, and overall visibility in global supply networks is making AI essential for modern, data-driven supply chain changes across industries. “Services segment to record highest CAGR during forecast period” The services segment is expected to grow rapidly in the AI in supply chain market. This growth is driven by the increasing complexity of AI projects and the need for custom solutions. Organizations want specialized services for data preparation, customizing models, integrating systems, and making AI work with their existing ERP, warehouse, and transportation systems. Services are also crucial for managing change, training users, and ongoing optimization to keep AI models accurate as demand patterns and supply conditions shift. As businesses adopt AI across different functions and regions, the demand for consulting, managed services, and performance monitoring is increasing. The move toward cloud-based and subscription-based AI systems also supports long-term service contracts, making services a major growth factor in the AI in supply chain market. “Large organizations captured largest market share in 2024” Large organizations held the biggest market share in the AI in supply chain market, thanks to their complicated operations, global supplier networks, and higher budgets for technology. These businesses deal with more challenges around demand changes, balancing inventory, and coordinating logistics across many regions, making AI planning and optimization essential. Large organizations are often early adopters of advanced tools like demand sensing, scenario planning, predictive risk analytics, and real-time supply chain visibility. Their ability to invest in strong data systems, cloud services, and integration across the organization allows for faster and wider AI use. Furthermore, large businesses typically follow long-term digital transformation plans, embedding AI in procurement, manufacturing, and distribution, which reinforces their leading market position. “Europe to account for a significant share of the AI in supply chain market in 2025” Europe is expected to hold significant share in the AI in supply chain market due to its well-connected trade networks, strong export-focused industries, and commitment to supply chain resilience. Companies throughout Europe are increasingly turning to AI to manage supplier risks, enhance production planning, and improve coordination across operations in multiple countries. Rising labor costs and workforce shortages are also driving the adoption of AI automation in warehousing, transportation, and demand planning. Additionally, European regulations on traceability, sustainability, and reporting are prompting companies to use AI analytics for compliance and transparency. The growing use of cloud platforms, digital twins, and data-sharing initiatives in the region is further boosting AI adoption on a larger scale. Together, these factors are promoting ongoing use of AI in supply chain operations across Europe, maintaining its strong market presence. Extensive primary interviews were conducted with key industry experts in the AI in supply chain market to determine and verify the market size for various segments and subsegments gathered through secondary research. The breakdown of primary participants for the report is shown below. The study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows: • By Company Type: Tier 1 - 20%, Tier 2 - 40%, and Tier 3 - 40% • By Designation: C-level Executives - 20%, Directors - 30%, and Others - 50% • By Region: North America - 20%, Europe - 30%, Asia Pacific - 40%, and RoW - 10% The AI in supply chain market is dominated by a few globally established players, such as SAP SE (Germany), Oracle (US), Blue Yonder Group, Inc. (US), Kinaxis Inc. (Canada), Manhattan Associates (US), IBM (US), Microsoft (US), Amazon Web Services, Inc. (US), Anaplan, Inc. (US), and Logility Supply Chain Solutions, Inc. (US). The study includes an in-depth competitive analysis of these key players in the AI in supply chain market, with their company profiles, recent developments, and key market strategies. Research Coverage The report segments the AI in supply chain market based on offering (software, services), deployment (cloud, on-premises, hybrid), organization size (large organizations, small & medium organizations), application (demand planning & forecasting, procurement & sourcing, inventory management, production planning & scheduling, warehouse & transportation management, supply chain risk management, other applications), and end-use industry (retail, healthcare & pharmaceuticals, food & beverages, automotive, logistics & transportation, aerospace & defense, chemicals, electronics & semiconductor, energy & utilities, manufacturing, other end-use industries). It also discusses the market’s drivers, restraints, opportunities, and challenges. It gives a detailed view of the market across four main regions (North America, Europe, Asia Pacific, and Rest of the World [RoW]). The report includes an ecosystem analysis of key players. Key Benefits of Buying the Report • Analysis of key drivers (growing implementation of big data and AI technologies, need for enhanced visibility in supply chain processes, rapid AI integration to improve customer satisfaction, shift toward cloud-based supply chain solutions, emphasis on supply chain resilience and risk mitigation post-disruptions), restraints (shortage of skilled workforce, security and data privacy concerns, high implementation and integration costs), opportunities (surge in demand for intelligent business processes and automation, improved operational efficiency with AI, emergence of generative AI for real-time decision intelligence), challenges (difficulties in seamless data integration, inconsistent data quality and availability) • Service Development/Innovation: Detailed insights into upcoming technologies, research & development activities, and launches in the AI in supply chain market • Market Development: Comprehensive information about lucrative markets through the analysis of the AI in supply chain market across varied regions • Market Diversification: Exhaustive information about new software and services, untapped geographies, recent developments, and investments in the AI in supply chain market • Competitive Assessment: In-depth assessment of market shares, growth strategies, and product offerings of leading players, such as SAP SE (Germany), Oracle (US), Blue Yonder Group, Inc. (US), Kinaxis Inc. (Canada), Manhattan Associates (US), IBM (US), Microsoft (US), Amazon Web Services, Inc. (US), Anaplan, Inc. (US), and Logility Supply Chain Solutions, Inc. (US)
目錄 Table of Contents
1 INTRODUCTION 25 1.1 STUDY OBJECTIVES 25 1.2 MARKET DEFINITION AND SCOPE 25 1.3 STUDY SCOPE 26 1.3.1 MARKETS COVERED 26 1.3.2 INCLUSIONS AND EXCLUSIONS 27 1.3.3 YEARS CONSIDERED 27 1.4 CURRENCY CONSIDERED 28 1.5 UNITS CONSIDERED 28 1.6 STAKEHOLDERS 28 1.7 SUMMARY OF CHANGES 28 2 EXECUTIVE SUMMARY 30 2.1 MARKET HIGHLIGHTS AND KEY INSIGHTS 30 2.2 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS 31 2.3 DISRUPTIVE TRENDS IN AI IN SUPPLY CHAIN MARKET 32 2.4 HIGH-GROWTH SEGMENTS 33 2.5 REGIONAL SNAPSHOT: MARKET SIZE, GROWTH RATE, AND FORECAST 34 3 PREMIUM INSIGHTS 35 3.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN SUPPLY CHAIN MARKET 35 3.2 AI IN SUPPLY CHAIN MARKET, BY OFFERING 35 3.3 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT AND ORGANIZATION SIZE 36 3.4 AI IN SUPPLY CHAIN MARKET, BY APPLICATION 36 3.5 AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY 37 3.6 AI IN SUPPLY CHAIN MARKET, BY COUNTRY 37 4 MARKET OVERVIEW 38 4.1 INTRODUCTION 38 4.2 MARKET DYNAMICS 38 4.2.1 DRIVERS 38 4.2.1.1 Growing implementation of big data and AI technologies 38 4.2.1.2 Need for enhanced visibility in supply chain processes 39 4.2.1.3 Rapid AI integration to improve customer satisfaction 40 4.2.1.4 Shift toward cloud-based supply chain solutions 40 4.2.1.5 Emphasis on supply chain resilience and risk mitigation post-disruptions 41   4.2.2 RESTRAINTS 42 4.2.2.1 Shortage of skilled workforce 42 4.2.2.2 Security and data privacy concerns 43 4.2.2.3 High implementation and integration costs 43 4.2.3 OPPORTUNITIES 44 4.2.3.1 Surge in demand for intelligent business processes and automation 44 4.2.3.2 Improved operational efficiency with AI 45 4.2.3.3 Emergence of generative AI for real-time decision intelligence 45 4.2.4 CHALLENGES 46 4.2.4.1 Difficulties in seamless data integration 46 4.2.4.2 Inconsistent data quality and availability 47 4.3 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES 48 4.3.1 INTERCONNECTED MARKETS 48 4.3.2 CROSS-SECTOR OPPORTUNITIES 48 4.4 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS 49 4.4.1 MARKET DYNAMICS 49 5 INDUSTRY TRENDS 50 5.1 INTRODUCTION 50 5.2 PORTER’S FIVE FORCES ANALYSIS 50 5.2.1 INTENSITY OF COMPETITIVE RIVALRY 51 5.2.2 BARGAINING POWER OF SUPPLIERS 51 5.2.3 BARGAINING POWER OF BUYERS 52 5.2.4 THREAT OF SUBSTITUTES 52 5.2.5 THREAT OF NEW ENTRANTS 52 5.3 MACROECONOMIC INDICATORS 53 5.3.1 INTRODUCTION 53 5.3.2 GDP TRENDS AND FORECAST 53 5.3.3 TRENDS IN FOOD & BEVERAGES INDUSTRY 55 5.3.4 TRENDS IN RETAIL INDUSTRY 55 5.4 VALUE CHAIN ANALYSIS 55 5.5 ECOSYSTEM ANALYSIS 57 5.6 PRICING ANALYSIS 60 5.6.1 INDICATIVE PRICING ANALYSIS OF KEY PLAYERS, BY DEPLOYMENT, 2024 61 5.6.1.1 Indicative pricing analysis of deployment types offered by key players, 2024 61 5.6.2 AVERAGE SELLING PRICE TREND, BY REGION, 2021–2024 61 5.7 KEY CONFERENCES AND EVENTS, 2025–2027 65 5.8 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 67 5.9 INVESTMENT AND FUNDING SCENARIO 68 5.10 CASE STUDY ANALYSIS 69 5.10.1 SAP SE LEVERAGES AI TO BOOST FIELD SERVICE PRODUCTIVITY AND DISPATCH EFFICIENCY 69 5.10.2 WALMART IMPLEMENTS AI-ENHANCED SUPPLY CHAIN OPERATIONS TO DRIVE EFFICIENCY AND CUSTOMER EXPERIENCE 69 5.10.3 AEON OPTIMIZES LOCAL ASSORTMENTS WITH BLUE YONDER CATEGORY MANAGEMENT 70 5.10.4 ACCEL IMPROVES WAREHOUSE PRODUCTIVITY BY 35% WITH BLUE YONDER CLOUD MIGRATION 70 5.10.5 INTEL CORPORATION BRINGS GRAPHICS PROCESSING UNIT TO VEHICLE COCKPIT 71 5.10.6 IBM AND NABP DEVELOP BLOCKCHAIN-BASED PLATFORM TO ENHANCE DRUG SUPPLY CHAIN SECURITY 71 5.10.7 UNIPER SE ENHANCES ENERGY OPERATIONS WITH MICROSOFT COPILOT 71 5.10.8 NORGREN STREAMLINES SUPPLY CHAIN WITH SAP SE INTEGRATED SOLUTIONS 72 5.10.9 TERADYNE ENHANCES SUPPLY CHAIN EFFICIENCY WITH C.H. ROBINSON WORLDWIDE’S INTEGRATED LOGISTICS SOLUTIONS 72 5.11 IMPACT OF 2025 US TARIFF – AI IN SUPPLY CHAIN MARKET 73 5.11.1 INTRODUCTION 73 5.11.2 KEY TARIFF RATES 74 5.11.3 PRICE IMPACT ANALYSIS 75 5.11.4 IMPACT ON COUNTRIES/REGIONS 75 5.11.4.1 US 75 5.11.4.2 Europe 76 5.11.4.3 Asia Pacific 76 5.11.5 IMPACT ON END-USE INDUSTRIES 77 6 TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACT, PATENTS, INNOVATIONS, AND FUTURE APPLICATIONS 80 6.1 KEY EMERGING TECHNOLOGIES 80 6.1.1 MACHINE LEARNING 80 6.1.2 NATURAL LANGUAGE PROCESSING 80 6.1.3 COMPUTER VISION 81 6.2 COMPLEMENTARY TECHNOLOGIES 81 6.2.1 INTERNET OF THINGS (IOT) & IIOT SENSORS 81 6.2.2 CLOUD COMPUTING & EDGE COMPUTING 81 6.3 ADJACENT TECHNOLOGIES 82 6.3.1 ROBOTIC PROCESS AUTOMATION (RPA) 82 6.3.2 SMART FACTORIES 82 6.3.3 5G & NEXT-GENERATION CONNECTIVITY 83 6.4 TECHNOLOGY/PRODUCT ROADMAP 83 6.4.1 SHORT-TERM (2025–2027) | AI-AUGMENTED VISIBILITY & AUTOMATION SCALING 83 6.4.2 MID-TERM (2027–2030) | HETEROGENEOUS INTEGRATION & DESIGN ECOSYSTEM EXPANSION 84 6.4.3 LONG-TERM (2030–2035+) | UNIVERSAL RECONFIGURABLE COMPUTING & SYSTEM-LEVEL CONVERGENCE 85 6.5 PATENT ANALYSIS 86 7 REGULATORY LANDSCAPE 90 7.1 INTRODUCTION 90 7.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 90 7.1.2 STANDARDS 94 7.1.3 GOVERNMENT REGULATIONS 95 8 CUSTOMER LANDSCAPE AND BUYER BEHAVIOR 97 8.1 DECISION-MAKING PROCESS 97 8.2 KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA 98 8.2.1 KEY STAKEHOLDERS IN BUYING PROCESS 98 8.2.2 BUYING CRITERIA 99 8.3 ADOPTION BARRIERS AND INTERNAL CHALLENGES 100 8.4 UNMET NEEDS OF VARIOUS END-USE INDUSTRIES 101 9 AI IN SUPPLY CHAIN MARKET, BY OFFERING 103 9.1 INTRODUCTION 104 9.2 SOFTWARE 105 9.2.1 RISING SUPPLY CHAIN COMPLEXITY TO DRIVE ADOPTION OF AI IN SUPPLY CHAIN SOFTWARE 105 9.3 SERVICES 108 9.3.1 MANAGED SERVICES 110 9.3.1.1 Enterprise shift from AI pilots to scaled deployments to drive demand for managed services 110 9.3.2 PROFESSIONAL SERVICES 111 9.3.2.1 Critical role in business innovation to drive demand for professional services 111 10 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT 112 10.1 INTRODUCTION 113 10.2 CLOUD 114 10.2.1 DEMAND FOR SCALABLE AND CONTINUOUSLY UPDATED PLATFORMS TO DRIVE CLOUD AI ADOPTION IN SUPPLY CHAINS 114 10.3 ON-PREMISES 116 10.3.1 NEED FOR DATA SOVEREIGNTY AND REGULATORY COMPLIANCE TO DRIVE ON-PREMISES AI DEPLOYMENT 116 10.4 HYBRID 117 10.4.1 NEED FOR FLEXIBLE AI DEPLOYMENT ACROSS CLOUD AND ON-PREMISES TO DRIVE HYBRID ADOPTION 117   11 AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE 119 11.1 INTRODUCTION 120 11.2 LARGE ORGANIZATIONS 121 11.2.1 GLOBAL SUPPLY CHAIN SCALE AND COMPLEXITY TO DRIVE AI ADOPTION AMONG LARGE ORGANIZATIONS 121 11.3 SMALL & MEDIUM ORGANIZATIONS 122 11.3.1 NEED FOR FASTER, DATA-DRIVEN DECISIONS TO DRIVE AI ADOPTION IN SUPPLY CHAINS FOR SMALL & MEDIUM ORGANIZATIONS 122 12 AI IN SUPPLY CHAIN MARKET, BY APPLICATION 123 12.1 INTRODUCTION 124 12.2 DEMAND PLANNING & FORECASTING 126 12.2.1 RISING DEMAND VOLATILITY TO DRIVE ADOPTION OF AI-POWERED SUPPLY CHAIN SOLUTIONS FOR FORECASTING 126 12.3 PROCUREMENT & SOURCING 127 12.3.1 GROWING NEED TO AUTOMATE PURCHASING DECISIONS AND OPTIMIZE SOURCING STRATEGIES TO DRIVE AI ADOPTION IN PROCUREMENT 127 12.4 INVENTORY MANAGEMENT 127 12.4.1 GROWING PRESSURE TO MINIMIZE MANUAL ERRORS AND OPERATIONAL COSTS TO BOOST AI-BASED INVENTORY MANAGEMENT ADOPTION 127 12.5 PRODUCTION PLANNING & SCHEDULING 128 12.5.1 RISING FOCUS ON THROUGHPUT OPTIMIZATION AND DOWNTIME REDUCTION TO DRIVE AI ADOPTION IN PRODUCTION SCHEDULING 128 12.6 WAREHOUSE & TRANSPORTATION MANAGEMENT 129 12.6.1 SHIFT TOWARD AUTOMATED WAREHOUSES AND INTELLIGENT LOGISTICS NETWORKS TO DRIVE DEMAND FOR AI IN SUPPLY CHAIN EXECUTION 129 12.7 SUPPLY CHAIN RISK MANAGEMENT 130 12.7.1 FOCUS OF ENTERPRISES ON RESILIENCE AND CONTINUITY TO DRIVE DEPLOYMENT OF AI-DRIVEN SUPPLY CHAIN RISK SOLUTIONS 130 12.8 OTHER APPLICATIONS 130 13 AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY 132 13.1 INTRODUCTION 133 13.2 RETAIL 135 13.2.1 EXPANSION OF AI ACROSS RETAIL PLANNING, INVENTORY OPTIMIZATION, AND LOGISTICS EXECUTION TO DRIVE MARKET 135 13.3 HEALTHCARE & PHARMACEUTICALS 137 13.3.1 NEED TO REDUCE SHORTAGES AND IMPROVE FORECAST ACCURACY TO DRIVE AI ADOPTION IN HEALTHCARE & PHARMACEUTICAL SUPPLY CHAIN 137 13.4 FOOD & BEVERAGES 139 13.4.1 NEED TO REDUCE WASTE AND IMPROVE INVENTORY TURNOVER TO DRIVE AI ADOPTION IN FOOD & BEVERAGES SUPPLY CHAIN 139 13.5 AUTOMOTIVE 141 13.5.1 SURGE IN DEMAND FOR ELECTRIC AND SOFTWARE-DEFINED VEHICLES TO DRIVE MARKET 141 13.6 LOGISTICS & TRANSPORTATION 143 13.6.1 NEED FOR REAL-TIME SHIPMENT VISIBILITY TO ACCELERATE AI ADOPTION IN LOGISTICS & TRANSPORTATION 143 13.7 AEROSPACE & DEFENSE 145 13.7.1 MISSION-CRITICAL PRODUCTION SCHEDULES TO ACCELERATE AI INTEGRATION IN AEROSPACE & DEFENSE SUPPLY CHAIN 145 13.8 CHEMICALS 146 13.8.1 NEED TO MANAGE COMPLEX, TIGHTLY COUPLED CHEMICAL PRODUCTION NETWORKS TO DRIVE AI ADOPTION IN SUPPLY CHAIN 146 13.9 ELECTRONICS & SEMICONDUCTOR 148 13.9.1 RAPID TECHNOLOGY TRANSITIONS AND MULTI-TIER SUPPLIER DEPENDENCE TO FUEL MARKET GROWTH 148 13.10 ENERGY & UTILITIES 150 13.10.1 RISING INFRASTRUCTURE COMPLEXITY TO DRIVE AI INTEGRATION IN ENERGY & UTILITIES SUPPLY CHAIN 150 13.11 MANUFACTURING 151 13.11.1 DEMAND FOR REAL-TIME PRODUCTION COORDINATION TO DRIVE AI-ENABLED SUPPLY CHAIN TRANSFORMATION IN MANUFACTURING 151 13.12 OTHER END-USE INDUSTRIES 153 14 AI IN SUPPLY CHAIN MARKET, BY REGION 155 14.1 INTRODUCTION 156 14.2 NORTH AMERICA 157 14.2.1 US 162 14.2.1.1 Integration of robotics and AI to transform supply chain productivity 162 14.2.2 CANADA 164 14.2.2.1 National AI strategy and ecosystem partnerships to propel intelligent supply chain transformation 164 14.2.3 MEXICO 165 14.2.3.1 Manufacturing expansion and cross-border trade to propel market growth 165 14.3 EUROPE 167 14.3.1 GERMANY 172 14.3.1.1 Automotive sector investments to strengthen AI-driven supply chain efficiency 172 14.3.2 UK 173 14.3.2.1 Government initiatives and policy support to drive AI adoption across supply chains 173 14.3.3 FRANCE 174 14.3.3.1 Life sciences and pharmaceutical expansion to boost AI deployment in supply chain ecosystem 174 14.3.4 ITALY 175 14.3.4.1 Government focus on accelerating industrial digital transformation across supply chains to drive market 175 14.3.5 REST OF EUROPE 176   14.4 ASIA PACIFIC 177 14.4.1 CHINA 182 14.4.1.1 AI-powered logistics and e-commerce ecosystems to propel supply chain efficiency and automation 182 14.4.2 JAPAN 184 14.4.2.1 AI-driven forecasting and automation to enhance resilience and efficiency in pharmaceutical supply chains 184 14.4.3 SOUTH KOREA 185 14.4.3.1 Digital twin and robotics integration to optimize electronics manufacturing supply chains 185 14.4.4 INDIA 186 14.4.4.1 Public–private partnerships to drive AI innovation and intelligent supply chain development 186 14.4.5 REST OF ASIA PACIFIC 188 14.5 REST OF THE WORLD 189 14.5.1 MIDDLE EAST & AFRICA 193 14.5.1.1 Government AI strategies and smart logistics investments to drive supply chain modernization 193 14.5.1.2 GCC 195 14.5.1.3 Rest of Middle East & Africa 196 14.5.2 SOUTH AMERICA 197 14.5.2.1 Industrial automation and AI-driven manufacturing to enhance supply chain efficiency 197 15 COMPETITIVE LANDSCAPE 199 15.1 OVERVIEW 199 15.2 KEY PLAYER COMPETITIVE STRATEGIES/RIGHT TO WIN, 2021–2025 199 15.3 REVENUE ANALYSIS, 2021–2024 202 15.4 MARKET SHARE ANALYSIS, 2024 203 15.5 COMPANY VALUATION AND FINANCIAL METRICS 206 15.6 BRAND/PRODUCT COMPARISON 207 15.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024 208 15.7.1 STARS 208 15.7.2 EMERGING LEADERS 208 15.7.3 PERVASIVE PLAYERS 208 15.7.4 PARTICIPANTS 208 15.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024 210 15.7.5.1 Company footprint 210 15.7.5.2 Regional footprint 211 15.7.5.3 Offering footprint 212 15.7.5.4 Deployment footprint 213 15.7.5.5 Organization size footprint 214 15.7.5.6 Application footprint 215 15.7.5.7 End-use industry footprint 216 15.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024 217 15.8.1 PROGRESSIVE COMPANIES 217 15.8.2 RESPONSIVE COMPANIES 217 15.8.3 DYNAMIC COMPANIES 217 15.8.4 STARTING BLOCKS 217 15.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024 219 15.8.5.1 Detailed list of key startups/SMEs 219 15.8.5.2 Competitive benchmarking of key startups/SMEs 220 15.9 COMPETITIVE SCENARIO 221 15.9.1 PRODUCT LAUNCHES/ENHANCEMENTS 221 15.9.2 DEALS 223 16 COMPANY PROFILES 226 16.1 KEY PLAYERS 226 16.1.1 SAP SE 226 16.1.1.1 Business overview 226 16.1.1.2 Products/Services/Solutions offered 227 16.1.1.3 Recent developments 229 16.1.1.3.1 Product launches/enhancements 229 16.1.1.3.2 Deals 230 16.1.1.4 MnM view 231 16.1.1.4.1 Key strengths 231 16.1.1.4.2 Strategic choices 232 16.1.1.4.3 Weaknesses & competitive threats 232 16.1.2 ORACLE 233 16.1.2.1 Business overview 233 16.1.2.2 Products/Services/Solutions offered 234 16.1.2.3 Recent developments 236 16.1.2.3.1 Product launches/enhancements 236 16.1.2.3.2 Deals 237 16.1.2.4 MnM view 238 16.1.2.4.1 Key strengths 238 16.1.2.4.2 Strategic choices 238 16.1.2.4.3 Weaknesses & competitive threats 239 16.1.3 BLUE YONDER GROUP, INC. 240 16.1.3.1 Business overview 240 16.1.3.2 Products/Services/Solutions offered 241 16.1.3.3 Recent developments 241 16.1.3.3.1 Product launches/enhancements 241 16.1.3.3.2 Deals 242 16.1.3.4 MnM view 244 16.1.3.4.1 Key strengths 244 16.1.3.4.2 Strategic choices 244 16.1.3.4.3 Weaknesses & competitive threats 244 16.1.4 MANHATTAN ASSOCIATES 245 16.1.4.1 Business overview 245 16.1.4.2 Products/Services/Solutions offered 246 16.1.4.3 Recent developments 248 16.1.4.3.1 Product launches/enhancements 248 16.1.4.3.2 Deals 249 16.1.4.4 MnM view 249 16.1.4.4.1 Key strengths 249 16.1.4.4.2 Strategic choices 250 16.1.4.4.3 Weaknesses & competitive threats 250 16.1.5 KINAXIS INC. 251 16.1.5.1 Business overview 251 16.1.5.2 Products/Services/Solutions offered 252 16.1.5.3 Recent developments 253 16.1.5.3.1 Product launches/enhancements 253 16.1.5.3.2 Deals 253 16.1.5.4 MnM view 255 16.1.5.4.1 Key strengths 255 16.1.5.4.2 Strategic choices 255 16.1.5.4.3 Weaknesses & competitive threats 255 16.1.6 IBM 256 16.1.6.1 Business overview 256 16.1.6.2 Products/Services/Solutions offered 257 16.1.6.3 Recent developments 259 16.1.6.3.1 Deals 259 16.1.7 MICROSOFT 261 16.1.7.1 Business overview 261 16.1.7.2 Products/Services/Solutions offered 262 16.1.7.3 Recent developments 263 16.1.7.3.1 Deals 263 16.1.8 AMAZON WEB SERVICES, INC. 264 16.1.8.1 Business overview 264 16.1.8.2 Products/Services/Solutions offered 265 16.1.8.3 Recent developments 266 16.1.8.3.1 Product launches/enhancements 266 16.1.8.3.2 Deals 267 16.1.9 ANAPLAN, INC. 268 16.1.9.1 Business overview 268 16.1.9.2 Products/Services/Solutions offered 268 16.1.9.3 Recent developments 269 16.1.9.3.1 Product launches/enhancements 269 16.1.9.3.2 Deals 270 16.1.10 LOGILITY SUPPLY CHAIN SOLUTIONS, INC. 272 16.1.10.1 Business overview 272 16.1.10.2 Products/Services/Solutions offered 272 16.1.10.3 Recent developments 273 16.1.10.3.1 Product launches/enhancements 273 16.1.10.3.2 Deals 274 16.2 OTHER PLAYERS 275 16.2.1 GEP 275 16.2.2 COUPA 276 16.2.3 O9 SOLUTIONS, INC. 277 16.2.4 ALIBABA CLOUD 278 16.2.5 ALTANA 279 16.2.6 PROJECT44 280 16.2.7 RESILINC CORPORATION 281 16.2.8 FOURKITES, INC. 282 16.2.9 FERO.AI 283 16.2.10 INFOR 284 16.2.11 CONVECT.AI, INC. 285 16.2.12 LVRG, INC. 286 16.2.13 EVERSTREAM ANALYTICS 287 16.2.14 RELEX SOLUTIONS 288 16.2.15 E2OPEN, LLC 289 17 RESEARCH METHODOLOGY 290 17.1 RESEARCH DATA 290 17.1.1 SECONDARY DATA 291 17.1.1.1 Major secondary sources 291 17.1.1.2 Key data from secondary sources 292 17.1.2 PRIMARY DATA 292 17.1.2.1 List of primary interview participants 293 17.1.2.2 Breakdown of primaries 293 17.1.2.3 Key data from primary sources 293 17.1.2.4 Key industry insights 295 17.1.3 SECONDARY AND PRIMARY RESEARCH 295 17.2 MARKET SIZE ESTIMATION 296 17.2.1 BOTTOM-UP APPROACH 297 17.2.1.1 Approach to estimate market size using bottom-up analysis (supply side) 297 17.2.2 TOP-DOWN APPROACH 298 17.2.2.1 Approach to estimate market size using top-down analysis (demand side) 299 17.3 MARKET BREAKDOWN AND DATA TRIANGULATION 300 17.4 RESEARCH ASSUMPTIONS 301 17.5 RISK ASSESSMENT 302 17.6 RESEARCH LIMITATIONS 302 18 APPENDIX 303 18.1 DISCUSSION GUIDE 303 18.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 307 18.3 CUSTOMIZATION OPTIONS 309 18.4 RELATED REPORTS 309 18.5 AUTHOR DETAILS 310
圖表清單 List of Tables & Figures
TABLE 1 IMPACT OF PORTER’S FIVE FORCES ON AI IN SUPPLY CHAIN MARKET 50 TABLE 2 GDP PERCENTAGE CHANGE, BY KEY COUNTRY, 2021–2030 53 TABLE 3 ROLE OF PLAYERS IN AI IN SUPPLY CHAIN ECOSYSTEM 59 TABLE 4 INDICATIVE PRICING ANALYSIS OF KEY PLAYERS, BY DEPLOYMENT, 2024 (USD/YEAR) 61 TABLE 5 INDICATIVE PRICING ANALYSIS OF CLOUD DEPLOYMENT, BY REGION, 2021–2024 (USD/YEAR) 62 TABLE 6 INDICATIVE PRICING ANALYSIS OF ON-PREMISES DEPLOYMENT, BY REGION, 2021–2024 (USD/YEAR) 63 TABLE 7 INDICATIVE PRICING ANALYSIS OF HYBRID DEPLOYMENT, BY REGION, 2021–2024 (USD/YEAR) 64 TABLE 8 KEY CONFERENCES AND EVENTS, 2025–2027 65 TABLE 9 US ADJUSTED RECIPROCAL TARIFF RATES 74 TABLE 10 LIST OF APPLIED/GRANTED PATENTS RELATED TO AI IN SUPPLY CHAIN, JUNE 2023–SEPTEMBER 2025 87 TABLE 11 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 90 TABLE 12 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 91 TABLE 13 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 92 TABLE 14 REST OF WORLD: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 93 TABLE 15 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USE INDUSTRIES (%) 99 TABLE 16 KEY BUYING CRITERIA FOR TOP THREE END-USE INDUSTRIES 99 TABLE 17 UNMET NEEDS IN AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY 101 TABLE 18 AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021–2024 (USD MILLION) 104 TABLE 19 AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025–2032 (USD MILLION) 104 TABLE 20 SOFTWARE: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2021–2024 (USD MILLION) 106 TABLE 21 SOFTWARE: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2025–2032 (USD MILLION) 107 TABLE 22 SOFTWARE: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 107 TABLE 23 SOFTWARE: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 107 TABLE 24 SERVICES: AI IN SUPPLY CHAIN MARKET, BY TYPE, 2021–2024 (USD MILLION) 108 TABLE 25 SERVICES: AI IN SUPPLY CHAIN MARKET, BY TYPE, 2025–2032 (USD MILLION) 108 TABLE 26 SERVICES: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2021–2024 (USD MILLION) 109 TABLE 27 SERVICES: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2025–2032 (USD MILLION) 109 TABLE 28 SERVICES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 110 TABLE 29 SERVICES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 110 TABLE 30 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2021–2024 (USD MILLION) 113 TABLE 31 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2025–2032 (USD MILLION) 114 TABLE 32 CLOUD: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 115 TABLE 33 CLOUD: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 116 TABLE 34 ON-PREMISES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 117 TABLE 35 ON-PREMISES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 117 TABLE 36 HYBRID: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 118 TABLE 37 HYBRID: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 118 TABLE 38 AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 120 TABLE 39 AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 120 TABLE 40 AI IN SUPPLY CHAIN MARKET, BY APPLICATION, 2021–2024 (USD MILLION) 125 TABLE 41 AI IN SUPPLY CHAIN MARKET, BY APPLICATION, 2025–2032 (USD MILLION) 125 TABLE 42 AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2021–2024 (USD MILLION) 134 TABLE 43 AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2025–2032 (USD MILLION) 134 TABLE 44 RETAIL: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021–2024 (USD MILLION) 136 TABLE 45 RETAIL: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025–2032 (USD MILLION) 136 TABLE 46 RETAIL: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 136 TABLE 47 RETAIL: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 137 TABLE 48 HEALTHCARE & PHARMACEUTICALS: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021–2024 (USD MILLION) 138 TABLE 49 HEALTHCARE & PHARMACEUTICALS: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025–2032 (USD MILLION) 138 TABLE 50 HEALTHCARE & PHARMACEUTICALS: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 138 TABLE 51 HEALTHCARE & PHARMACEUTICALS: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 139 TABLE 52 FOOD & BEVERAGES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021–2024 (USD MILLION) 140 TABLE 53 FOOD & BEVERAGES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025–2032 (USD MILLION) 140 TABLE 54 FOOD & BEVERAGES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 140 TABLE 55 FOOD & BEVERAGES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 141 TABLE 56 AUTOMOTIVE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021–2024 (USD MILLION) 142 TABLE 57 AUTOMOTIVE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025–2032 (USD MILLION) 142 TABLE 58 AUTOMOTIVE: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 142 TABLE 59 AUTOMOTIVE: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 142 TABLE 60 LOGISTICS & TRANSPORTATION: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021–2024 (USD MILLION) 144 TABLE 61 LOGISTICS & TRANSPORTATION: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025–2032 (USD MILLION) 144 TABLE 62 LOGISTICS & TRANSPORTATION: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 144 TABLE 63 LOGISTICS & TRANSPORTATION: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 144 TABLE 64 AEROSPACE & DEFENSE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021–2024 (USD MILLION) 145 TABLE 65 AEROSPACE & DEFENSE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025–2032 (USD MILLION) 146 TABLE 66 AEROSPACE & DEFENSE: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 146 TABLE 67 AEROSPACE & DEFENSE: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 146 TABLE 68 CHEMICALS: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021–2024 (USD MILLION) 147 TABLE 69 CHEMICALS: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025–2032 (USD MILLION) 147 TABLE 70 CHEMICALS: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 147 TABLE 71 CHEMICALS: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 148 TABLE 72 ELECTRONICS & SEMICONDUCTOR: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021–2024 (USD MILLION) 149 TABLE 73 ELECTRONICS & SEMICONDUCTOR: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025–2032 (USD MILLION) 149 TABLE 74 ELECTRONICS & SEMICONDUCTOR: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 149 TABLE 75 ELECTRONICS & SEMICONDUCTOR: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 149 TABLE 76 ENERGY & UTILITIES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021–2024 (USD MILLION) 150 TABLE 77 ENERGY & UTILITIES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025–2032 (USD MILLION) 151 TABLE 78 ENERGY & UTILITIES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 151 TABLE 79 ENERGY & UTILITIES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 151 TABLE 80 MANUFACTURING: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021–2024 (USD MILLION) 152 TABLE 81 MANUFACTURING: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025–2032 (USD MILLION) 152 TABLE 82 MANUFACTURING: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 153 TABLE 83 MANUFACTURING: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 153 TABLE 84 OTHER END-USE INDUSTRIES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021–2024 (USD MILLION) 154 TABLE 85 OTHER END-USE INDUSTRIES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025–2032 (USD MILLION) 154 TABLE 86 OTHER END-USE INDUSTRIES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 154 TABLE 87 OTHER END-USE INDUSTRIES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 154 TABLE 88 AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 156 TABLE 89 AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 157 TABLE 90 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021–2024 (USD MILLION) 159 TABLE 91 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025–2032 (USD MILLION) 159 TABLE 92 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2021–2024 (USD MILLION) 160 TABLE 93 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2025–2032 (USD MILLION) 160 TABLE 94 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 160 TABLE 95 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 160 TABLE 96 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2021–2024 (USD MILLION) 161 TABLE 97 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2025–2032 (USD MILLION) 161 TABLE 98 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2021–2024 (USD MILLION) 162 TABLE 99 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2025–2032 (USD MILLION) 162 TABLE 100 US: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 164 TABLE 101 US: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 164 TABLE 102 CANADA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 165 TABLE 103 CANADA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 165 TABLE 104 MEXICO: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 166 TABLE 105 MEXICO: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 166 TABLE 106 EUROPE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021–2024 (USD MILLION) 168 TABLE 107 EUROPE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025–2032 (USD MILLION) 168 TABLE 108 EUROPE: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2021–2024 (USD MILLION) 169 TABLE 109 EUROPE: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2025–2032 (USD MILLION) 169 TABLE 110 EUROPE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 169 TABLE 111 EUROPE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 169 TABLE 112 EUROPE: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2021–2024 (USD MILLION) 170 TABLE 113 EUROPE: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2025–2032 (USD MILLION) 170 TABLE 114 EUROPE: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2021–2024 (USD MILLION) 171 TABLE 115 EUROPE: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2025–2032 (USD MILLION) 171 TABLE 116 GERMANY: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 173 TABLE 117 GERMANY: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 173 TABLE 118 UK: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 174 TABLE 119 UK: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 174 TABLE 120 FRANCE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 175 TABLE 121 FRANCE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 175 TABLE 122 ITALY: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 176 TABLE 123 ITALY: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 176 TABLE 124 REST OF EUROPE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 177 TABLE 125 REST OF EUROPE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 177 TABLE 126 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021–2024 (USD MILLION) 179 TABLE 127 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025–2032 (USD MILLION) 179 TABLE 128 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2021–2024 (USD MILLION) 179 TABLE 129 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2025–2032 (USD MILLION) 179 TABLE 130 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 180 TABLE 131 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 180 TABLE 132 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2021–2024 (USD MILLION) 180 TABLE 133 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2025–2032 (USD MILLION) 181 TABLE 134 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2021–2024 (USD MILLION) 182 TABLE 135 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2025–2032 (USD MILLION) 182 TABLE 136 CHINA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 183 TABLE 137 CHINA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 183 TABLE 138 JAPAN: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 185 TABLE 139 JAPAN: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 185 TABLE 140 SOUTH KOREA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 186 TABLE 141 SOUTH KOREA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 186 TABLE 142 INDIA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 187 TABLE 143 INDIA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 187 TABLE 144 REST OF ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 188 TABLE 145 REST OF ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 189 TABLE 146 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021–2024 (USD MILLION) 190 TABLE 147 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025–2032 (USD MILLION) 190 TABLE 148 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2021–2024 (USD MILLION) 191 TABLE 149 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2025–2032 (USD MILLION) 191 TABLE 150 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 191 TABLE 151 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 191 TABLE 152 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2021–2024 (USD MILLION) 192 TABLE 153 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2025–2032 (USD MILLION) 192 TABLE 154 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021–2024 (USD MILLION) 193 TABLE 155 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025–2032 (USD MILLION) 193 TABLE 156 MIDDLE EAST & AFRICA: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2021–2024 (USD MILLION) 194 TABLE 157 MIDDLE EAST & AFRICA: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2025–2032 (USD MILLION) 194 TABLE 158 MIDDLE EAST & AFRICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 195 TABLE 159 MIDDLE EAST & AFRICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 195 TABLE 160 SOUTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021–2024 (USD MILLION) 197 TABLE 161 SOUTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025–2032 (USD MILLION) 198 TABLE 162 OVERVIEW OF STRATEGIES ADOPTED BY AI IN SUPPLY CHAIN PROVIDERS, 2021–2025 199 TABLE 163 AI IN SUPPLY CHAIN MARKET SHARE ANALYSIS, 2024 203 TABLE 164 AI IN SUPPLY CHAIN MARKET: REGIONAL FOOTPRINT, 2024 211 TABLE 165 AI IN SUPPLY CHAIN MARKET: OFFERING FOOTPRINT, 2024 212 TABLE 166 AI IN SUPPLY CHAIN MARKET: DEPLOYMENT FOOTPRINT, 2024 213 TABLE 167 AI IN SUPPLY CHAIN MARKET: ORGANIZATION SIZE FOOTPRINT, 2024 214 TABLE 168 AI IN SUPPLY CHAIN MARKET: APPLICATION FOOTPRINT, 2024 215 TABLE 169 AI IN SUPPLY CHAIN MARKET: END-USE INDUSTRY FOOTPRINT, 2024 216 TABLE 170 AI IN SUPPLY CHAIN MARKET: LIST OF KEY STARTUPS/SMES, 2024 219 TABLE 171 AI IN SUPPLY CHAIN MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES, 2024 220 TABLE 172 AI IN SUPPLY CHAIN MARKET: PRODUCT LAUNCHES/ENHANCEMENTS, JANUARY 2021−DECEMBER 2025 221 TABLE 173 AI IN SUPPLY CHAIN MARKET: DEALS, JANUARY 2021−DECEMBER 2025 223 TABLE 174 SAP SE: COMPANY OVERVIEW 226 TABLE 175 SAP SE: PRODUCTS/SERVICES/SOLUTIONS OFFERED 227 TABLE 176 SAP SE: PRODUCT LAUNCHES/ENHANCEMENTS 229 TABLE 177 SAP SE: DEALS 230 TABLE 178 ORACLE: COMPANY OVERVIEW 233 TABLE 179 ORACLE: PRODUCTS/SERVICES/SOLUTIONS OFFERED 234 TABLE 180 ORACLE: PRODUCT LAUNCHES/ENHANCEMENTS 236 TABLE 181 ORACLE: DEALS 237 TABLE 182 BLUE YONDER GROUP, INC.: COMPANY OVERVIEW 240 TABLE 183 BLUE YONDER GROUP, INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED 241 TABLE 184 BLUE YONDER GROUP, INC.: PRODUCT LAUNCHES/ENHANCEMENTS 241 TABLE 185 BLUE YONDER GROUP, INC.: DEALS 242 TABLE 186 MANHATTAN ASSOCIATES: COMPANY OVERVIEW 245 TABLE 187 MANHATTAN ASSOCIATES: PRODUCTS/SERVICES/SOLUTIONS OFFERED 246 TABLE 188 MANHATTAN ASSOCIATES: PRODUCT LAUNCHES/ENHANCEMENTS 248 TABLE 189 MANHATTAN ASSOCIATES: DEALS 249 TABLE 190 KINAXIS INC.: COMPANY OVERVIEW 251 TABLE 191 KINAXIS INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED 252 TABLE 192 KINAXIS INC.: PRODUCT LAUNCHES/ENHANCEMENTS 253 TABLE 193 KINAXIS INC.: DEALS 253 TABLE 194 IBM: COMPANY OVERVIEW 256 TABLE 195 IBM: PRODUCTS/SERVICES/SOLUTIONS OFFERED 257 TABLE 196 IBM: DEALS 259 TABLE 197 MICROSOFT: COMPANY OVERVIEW 261 TABLE 198 MICROSOFT: PRODUCTS/SERVICES/SOLUTIONS OFFERED 262 TABLE 199 MICROSOFT: DEALS 263 TABLE 200 AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW 264 TABLE 201 AMAZON WEB SERVICES, INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED 265 TABLE 202 AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES/ENHANCEMENTS 266 TABLE 203 AMAZON WEB SERVICES, INC.: DEALS 267 TABLE 204 ANAPLAN, INC.: COMPANY OVERVIEW 268 TABLE 205 ANAPLAN, INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED 268 TABLE 206 ANAPLAN, INC.: PRODUCT LAUNCHES/ENHANCEMENTS 269 TABLE 207 ANAPLAN, INC.: DEALS 270 TABLE 208 LOGILITY SUPPLY CHAIN SOLUTIONS, INC.: COMPANY OVERVIEW 272 TABLE 209 LOGILITY SUPPLY CHAIN SOLUTIONS, INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED 272 TABLE 210 LOGILITY SUPPLY CHAIN SOLUTIONS, INC.: PRODUCT LAUNCHES/ENHANCEMENTS 273 TABLE 211 LOGILITY SUPPLY CHAIN SOLUTIONS, INC.: DEALS 274 TABLE 212 GEP: COMPANY OVERVIEW 275 TABLE 213 COUPA: COMPANY OVERVIEW 276 TABLE 214 O9 SOLUTIONS, INC.: COMPANY OVERVIEW 277 TABLE 215 ALIBABA CLOUD: COMPANY OVERVIEW 278 TABLE 216 ALTANA: COMPANY OVERVIEW 279 TABLE 217 PROJECT44: COMPANY OVERVIEW 280 TABLE 218 RESILINC CORPORATION: COMPANY OVERVIEW 281 TABLE 219 FOURKITES, INC.: COMPANY OVERVIEW 282 TABLE 220 FERO.AI: COMPANY OVERVIEW 283 TABLE 221 INFOR: COMPANY OVERVIEW 284 TABLE 222 CONVECT.AI, INC.: COMPANY OVERVIEW 285 TABLE 223 LVRG, INC.: COMPANY OVERVIEW 286 TABLE 224 EVERSTREAM ANALYTICS: COMPANY OVERVIEW 287 TABLE 225 RELEX SOLUTIONS: COMPANY OVERVIEW 288 TABLE 226 E2OPEN, LLC: COMPANY OVERVIEW 289 TABLE 227 AI IN SUPPLY CHAIN MARKET: RISK ANALYSIS 302 FIGURE 1 AI IN SUPPLY CHAIN MARKET: SEGMENTATION AND REGIONAL SCOPE 26 FIGURE 2 MARKET SCENARIO 30 FIGURE 3 GLOBAL AI IN SUPPLY CHAIN MARKET, 2021–2032 31 FIGURE 4 MAJOR STRATEGIES ADOPTED BY KEY PLAYERS IN AI IN SUPPLY CHAIN MARKET, 2021–2025 31 FIGURE 5 DISRUPTIONS INFLUENCING GROWTH OF AI IN SUPPLY CHAIN MARKET 32 FIGURE 6 HIGH-GROWTH SEGMENTS IN AI IN SUPPLY CHAIN MARKET, 2025–2032 33 FIGURE 7 ASIA PACIFIC TO REGISTER HIGHEST CAGR, IN TERMS OF VALUE, DURING FORECAST PERIOD 34 FIGURE 8 RISING FOCUS ON SUPPLY CHAIN RESILIENCE AND RISK MANAGEMENT TO DRIVE MARKET 35 FIGURE 9 SOFTWARE SEGMENT TO DOMINATE FROM 2025 TO 2032 35 FIGURE 10 CLOUD AND LARGE ORGANIZATIONS SEGMENTS TO LEAD MARKET IN 2025 36 FIGURE 11 DEMAND PLANNING & FORECASTING SEGMENT TO LEAD MARKET DURING FORECAST PERIOD 36 FIGURE 12 AUTOMOTIVE SEGMENT TO REGISTER FASTEST GROWTH DURING FORECAST PERIOD 37 FIGURE 13 INDIA TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD 37 FIGURE 14 AI IN SUPPLY CHAIN MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 38 FIGURE 15 IMPACT OF DRIVERS ON AI IN SUPPLY CHAIN MARKET 42 FIGURE 16 IMPACT OF RESTRAINTS ON AI IN SUPPLY CHAIN MARKET 44 FIGURE 17 IMPACT OF OPPORTUNITIES ON AI IN SUPPLY CHAIN MARKET 46 FIGURE 18 IMPACT OF CHALLENGES ON AI IN SUPPLY CHAIN MARKET 47 FIGURE 19 AI IN SUPPLY CHAIN MARKET: PORTER’S FIVE FORCES ANALYSIS 51 FIGURE 20 AI IN SUPPLY CHAIN MARKET: VALUE CHAIN ANALYSIS 56 FIGURE 21 AI IN SUPPLY CHAIN MARKET: ECOSYSTEM ANALYSIS 58 FIGURE 22 AVERAGE SELLING PRICE TREND OF CLOUD DEPLOYMENT, BY REGION, 2021–2024 (USD/YEAR) 62 FIGURE 23 AVERAGE SELLING PRICE TREND OF ON-PREMISES DEPLOYMENT, BY REGION, 2021–2024 (USD/YEAR) 63 FIGURE 24 AVERAGE SELLING PRICE TREND OF HYBRID DEPLOYMENT, BY REGION, 2021–2024 (USD/YEAR) 64 FIGURE 25 TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS 67 FIGURE 26 INVESTMENT AND FUNDING SCENARIO, 2021–2025 (USD MILLION) 68 FIGURE 27 PATENTS APPLIED AND GRANTED, 2014–2024 86 FIGURE 28 AI IN SUPPLY CHAIN MARKET DECISION-MAKING FACTORS 97 FIGURE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USE INDUSTRIES 98 FIGURE 30 KEY BUYING CRITERIA FOR TOP THREE END-USE INDUSTRIES 99 FIGURE 31 ADOPTION BARRIERS AND INTERNAL CHALLENGES 100 FIGURE 32 SOFTWARE SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD 104 FIGURE 33 CLOUD SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD 113 FIGURE 34 SMALL & MEDIUM ORGANIZATIONS SEGMENT TO GROW AT HIGHER RATE DURING FORECAST PERIOD 120 FIGURE 35 DEMAND PLANNING & FORECASTING SEGMENT TO LEAD MARKET DURING FORECAST PERIOD 124 FIGURE 36 AUTOMOTIVE SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 133 FIGURE 37 NORTH AMERICA TO LEAD MARKET DURING FORECAST PERIOD 156 FIGURE 38 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET SNAPSHOT 159 FIGURE 39 US TO DOMINATE MARKET IN NORTH AMERICA DURING FORECAST PERIOD 162 FIGURE 40 EUROPE: AI IN SUPPLY CHAIN MARKET SNAPSHOT 168 FIGURE 41 GERMANY TO LEAD MARKET IN EUROPE DURING FORECAST PERIOD 171 FIGURE 42 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET SNAPSHOT 178 FIGURE 43 CHINA TO LEAD MARKET IN ASIA PACIFIC DURING FORECAST PERIOD 181 FIGURE 44 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET SNAPSHOT 190 FIGURE 45 MIDDLE EAST & AFRICA TO LEAD MARKET IN REST OF THE WORLD DURING FORECAST PERIOD 193 FIGURE 46 REVENUE ANALYSIS OF FOUR KEY PLAYERS IN AI IN SUPPLY CHAIN MARKET, 2021–2024 (USD MILLION) 202 FIGURE 47 AI IN SUPPLY CHAIN MARKET: SHARE ANALYSIS OF KEY PLAYERS 204 FIGURE 48 COMPANY VALUATION, 2025 (USD BILLION) 206 FIGURE 49 FINANCIAL METRICS (EV/EBITDA), 2025 206 FIGURE 50 BRAND/PRODUCT COMPARISON 207 FIGURE 51 AI IN SUPPLY CHAIN MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024 209 FIGURE 52 AI IN SUPPLY CHAIN MARKET: COMPANY FOOTPRINT, 2024 210 FIGURE 53 AI IN SUPPLY CHAIN MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024 218 FIGURE 54 SAP SE: COMPANY SNAPSHOT 227 FIGURE 55 ORACLE: COMPANY SNAPSHOT 234 FIGURE 56 MANHATTAN ASSOCIATES: COMPANY SNAPSHOT 246 FIGURE 57 KINAXIS INC.: COMPANY SNAPSHOT 252 FIGURE 58 IBM: COMPANY SNAPSHOT 257 FIGURE 59 MICROSOFT: COMPANY SNAPSHOT 262 FIGURE 60 AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT 265 FIGURE 61 AI IN SUPPLY CHAIN MARKET: RESEARCH DESIGN 290 FIGURE 62 AI IN SUPPLY CHAIN MARKET: RESEARCH FLOW OF MARKET SIZE ESTIMATION 296 FIGURE 63 AI IN SUPPLY CHAIN MARKET: SUPPLY SIDE ANALYSIS 297 FIGURE 64 AI IN SUPPLY CHAIN MARKET: BOTTOM-UP APPROACH 298 FIGURE 65 AI IN SUPPLY CHAIN MARKET: TOP-DOWN APPROACH 299 FIGURE 66 AI IN SUPPLY CHAIN MARKET: DATA TRIANGULATION 300

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