世界各国のリアルタイムなデータ・インテリジェンスで皆様をお手伝い

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

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


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 gre... もっと見る

 

 

出版社
MarketsandMarkets
マーケッツアンドマーケッツ
出版年月
2026年1月30日
電子版価格
US$4,950
シングルユーザーライセンス
ライセンス・価格情報/注文方法はこちら
納期
通常2営業日以内
ページ数
311
図表数
293
言語
英語

英語原文をAIを使って翻訳しています。


 

Summary

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.

https://mnmimg.marketsandmarkets.com/Images/al-in-supply-chain-market-img-overview-1.webp

“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)

ページTOPに戻る


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

ページTOPに戻る



List of Tables/Graphs

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 302FIGURE 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

 

ページTOPに戻る

ご注文は、お電話またはWEBから承ります。お見積もりの作成もお気軽にご相談ください。

webからのご注文・お問合せはこちらのフォームから承ります

本レポートと同分野(電子部品/半導体)の最新刊レポート

MarketsandMarkets社の Semiconductor and Electronics分野 での最新刊レポート


よくあるご質問


MarketsandMarkets社はどのような調査会社ですか?


マーケッツアンドマーケッツ(MarketsandMarkets)は通信、半導体、医療機器、エネルギーなど、幅広い市場に関する調査レポートを出版しています。また広範な市場を対象としたカスタム調査も行って... もっと見る


調査レポートの納品までの日数はどの程度ですか?


在庫のあるものは速納となりますが、平均的には 3-4日と見て下さい。
但し、一部の調査レポートでは、発注を受けた段階で内容更新をして納品をする場合もあります。
発注をする前のお問合せをお願いします。


注文の手続きはどのようになっていますか?


1)お客様からの御問い合わせをいただきます。
2)見積書やサンプルの提示をいたします。
3)お客様指定、もしくは弊社の発注書をメール添付にて発送してください。
4)データリソース社からレポート発行元の調査会社へ納品手配します。
5) 調査会社からお客様へ納品されます。最近は、pdfにてのメール納品が大半です。


お支払方法の方法はどのようになっていますか?


納品と同時にデータリソース社よりお客様へ請求書(必要に応じて納品書も)を発送いたします。
お客様よりデータリソース社へ(通常は円払い)の御振り込みをお願いします。
請求書は、納品日の日付で発行しますので、翌月最終営業日までの当社指定口座への振込みをお願いします。振込み手数料は御社負担にてお願いします。
お客様の御支払い条件が60日以上の場合は御相談ください。
尚、初めてのお取引先や個人の場合、前払いをお願いすることもあります。ご了承のほど、お願いします。


データリソース社はどのような会社ですか?


当社は、世界各国の主要調査会社・レポート出版社と提携し、世界各国の市場調査レポートや技術動向レポートなどを日本国内の企業・公官庁及び教育研究機関に提供しております。
世界各国の「市場・技術・法規制などの」実情を調査・収集される時には、データリソース社にご相談ください。
お客様の御要望にあったデータや情報を抽出する為のレポート紹介や調査のアドバイスも致します。


詳細検索

このレポートへのお問合せ

03-3582-2531

電話お問合せもお気軽に

 

 

2026/02/09 10:26

157.96 円

187.15 円

217.64 円

ページTOPに戻る