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Artificial IntelligenceSupply Chain Management

PUBLISHER: MarketsandMarkets | PRODUCT CODE: 1931748

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PUBLISHER: MarketsandMarkets | PRODUCT CODE: 1931748

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

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Description

Table of Contents

List of Tables

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.

Scope of the Report
Years Considered for the Study2021-2032
Base Year2024
Forecast Period2025-2032
Units ConsideredValue (USD Billion)
SegmentsBy Offering, Deployment, Application and Region
Regions coveredNorth America, Europe, APAC, RoW

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.

AI in Supply Chain Market - IMG1

"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)
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Product Code: SE 6402

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION AND SCOPE
  • 1.3 STUDY SCOPE
    • 1.3.1 MARKETS COVERED
    • 1.3.2 INCLUSIONS AND EXCLUSIONS
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 UNITS CONSIDERED
  • 1.6 STAKEHOLDERS
  • 1.7 SUMMARY OF CHANGES

2 EXECUTIVE SUMMARY

  • 2.1 MARKET HIGHLIGHTS AND KEY INSIGHTS
  • 2.2 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS
  • 2.3 DISRUPTIVE TRENDS IN AI IN SUPPLY CHAIN MARKET
  • 2.4 HIGH-GROWTH SEGMENTS
  • 2.5 REGIONAL SNAPSHOT: MARKET SIZE, GROWTH RATE, AND FORECAST

3 PREMIUM INSIGHTS

  • 3.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN SUPPLY CHAIN MARKET
  • 3.2 AI IN SUPPLY CHAIN MARKET, BY OFFERING
  • 3.3 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT AND ORGANIZATION SIZE
  • 3.4 AI IN SUPPLY CHAIN MARKET, BY APPLICATION
  • 3.5 AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY
  • 3.6 AI IN SUPPLY CHAIN MARKET, BY COUNTRY

4 MARKET OVERVIEW

  • 4.1 INTRODUCTION
  • 4.2 MARKET DYNAMICS
    • 4.2.1 DRIVERS
      • 4.2.1.1 Growing implementation of big data and AI technologies
      • 4.2.1.2 Need for enhanced visibility in supply chain processes
      • 4.2.1.3 Rapid AI integration to improve customer satisfaction
      • 4.2.1.4 Shift toward cloud-based supply chain solutions
      • 4.2.1.5 Emphasis on supply chain resilience and risk mitigation post-disruptions
    • 4.2.2 RESTRAINTS
      • 4.2.2.1 Shortage of skilled workforce
      • 4.2.2.2 Security and data privacy concerns
      • 4.2.2.3 High implementation and integration costs
    • 4.2.3 OPPORTUNITIES
      • 4.2.3.1 Surge in demand for intelligent business processes and automation
      • 4.2.3.2 Improved operational efficiency with AI
      • 4.2.3.3 Emergence of generative AI for real-time decision intelligence
    • 4.2.4 CHALLENGES
      • 4.2.4.1 Difficulties in seamless data integration
      • 4.2.4.2 Inconsistent data quality and availability
  • 4.3 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
    • 4.3.1 INTERCONNECTED MARKETS
    • 4.3.2 CROSS-SECTOR OPPORTUNITIES
  • 4.4 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS
    • 4.4.1 MARKET DYNAMICS

5 INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 PORTER'S FIVE FORCES ANALYSIS
    • 5.2.1 INTENSITY OF COMPETITIVE RIVALRY
    • 5.2.2 BARGAINING POWER OF SUPPLIERS
    • 5.2.3 BARGAINING POWER OF BUYERS
    • 5.2.4 THREAT OF SUBSTITUTES
    • 5.2.5 THREAT OF NEW ENTRANTS
  • 5.3 MACROECONOMIC INDICATORS
    • 5.3.1 INTRODUCTION
    • 5.3.2 GDP TRENDS AND FORECAST
    • 5.3.3 TRENDS IN FOOD & BEVERAGES INDUSTRY
    • 5.3.4 TRENDS IN RETAIL INDUSTRY
  • 5.4 VALUE CHAIN ANALYSIS
  • 5.5 ECOSYSTEM ANALYSIS
  • 5.6 PRICING ANALYSIS
    • 5.6.1 INDICATIVE PRICING ANALYSIS OF KEY PLAYERS, BY DEPLOYMENT, 2024
      • 5.6.1.1 Indicative pricing analysis of deployment types offered by key players, 2024
    • 5.6.2 AVERAGE SELLING PRICE TREND, BY REGION, 2021-2024
  • 5.7 KEY CONFERENCES AND EVENTS, 2025-2027
  • 5.8 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.9 INVESTMENT AND FUNDING SCENARIO
  • 5.10 CASE STUDY ANALYSIS
    • 5.10.1 SAP SE LEVERAGES AI TO BOOST FIELD SERVICE PRODUCTIVITY AND DISPATCH EFFICIENCY
    • 5.10.2 WALMART IMPLEMENTS AI-ENHANCED SUPPLY CHAIN OPERATIONS TO DRIVE EFFICIENCY AND CUSTOMER EXPERIENCE
    • 5.10.3 AEON OPTIMIZES LOCAL ASSORTMENTS WITH BLUE YONDER CATEGORY MANAGEMENT
    • 5.10.4 ACCEL IMPROVES WAREHOUSE PRODUCTIVITY BY 35% WITH BLUE YONDER CLOUD MIGRATION
    • 5.10.5 INTEL CORPORATION BRINGS GRAPHICS PROCESSING UNIT TO VEHICLE COCKPIT
    • 5.10.6 IBM AND NABP DEVELOP BLOCKCHAIN-BASED PLATFORM TO ENHANCE DRUG SUPPLY CHAIN SECURITY
    • 5.10.7 UNIPER SE ENHANCES ENERGY OPERATIONS WITH MICROSOFT COPILOT
    • 5.10.8 NORGREN STREAMLINES SUPPLY CHAIN WITH SAP SE INTEGRATED SOLUTIONS
    • 5.10.9 TERADYNE ENHANCES SUPPLY CHAIN EFFICIENCY WITH C.H. ROBINSON WORLDWIDE'S INTEGRATED LOGISTICS SOLUTIONS
  • 5.11 IMPACT OF 2025 US TARIFF - AI IN SUPPLY CHAIN MARKET
    • 5.11.1 INTRODUCTION
    • 5.11.2 KEY TARIFF RATES
    • 5.11.3 PRICE IMPACT ANALYSIS
    • 5.11.4 IMPACT ON COUNTRIES/REGIONS
      • 5.11.4.1 US
      • 5.11.4.2 Europe
      • 5.11.4.3 Asia Pacific
    • 5.11.5 IMPACT ON END-USE INDUSTRIES

6 TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACT, PATENTS, INNOVATIONS, AND FUTURE APPLICATIONS

  • 6.1 KEY EMERGING TECHNOLOGIES
    • 6.1.1 MACHINE LEARNING
    • 6.1.2 NATURAL LANGUAGE PROCESSING
    • 6.1.3 COMPUTER VISION
  • 6.2 COMPLEMENTARY TECHNOLOGIES
    • 6.2.1 INTERNET OF THINGS (IOT) & IIOT SENSORS
    • 6.2.2 CLOUD COMPUTING & EDGE COMPUTING
  • 6.3 ADJACENT TECHNOLOGIES
    • 6.3.1 ROBOTIC PROCESS AUTOMATION (RPA)
    • 6.3.2 SMART FACTORIES
    • 6.3.3 5G & NEXT-GENERATION CONNECTIVITY
  • 6.4 TECHNOLOGY/PRODUCT ROADMAP
    • 6.4.1 SHORT-TERM (2025-2027) | AI-AUGMENTED VISIBILITY & AUTOMATION SCALING
    • 6.4.2 MID-TERM (2027-2030) | HETEROGENEOUS INTEGRATION & DESIGN ECOSYSTEM EXPANSION
    • 6.4.3 LONG-TERM (2030-2035+) | UNIVERSAL RECONFIGURABLE COMPUTING & SYSTEM-LEVEL CONVERGENCE
  • 6.5 PATENT ANALYSIS

7 REGULATORY LANDSCAPE

  • 7.1 INTRODUCTION
    • 7.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 7.1.2 STANDARDS
    • 7.1.3 GOVERNMENT REGULATIONS

8 CUSTOMER LANDSCAPE AND BUYER BEHAVIOR

  • 8.1 DECISION-MAKING PROCESS
  • 8.2 KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA
    • 8.2.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • 8.2.2 BUYING CRITERIA
  • 8.3 ADOPTION BARRIERS AND INTERNAL CHALLENGES
  • 8.4 UNMET NEEDS OF VARIOUS END-USE INDUSTRIES

9 AI IN SUPPLY CHAIN MARKET, BY OFFERING

  • 9.1 INTRODUCTION
  • 9.2 SOFTWARE
    • 9.2.1 RISING SUPPLY CHAIN COMPLEXITY TO DRIVE ADOPTION OF AI IN SUPPLY CHAIN SOFTWARE
  • 9.3 SERVICES
    • 9.3.1 MANAGED SERVICES
      • 9.3.1.1 Enterprise shift from AI pilots to scaled deployments to drive demand for managed services
    • 9.3.2 PROFESSIONAL SERVICES
      • 9.3.2.1 Critical role in business innovation to drive demand for professional services

10 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT

  • 10.1 INTRODUCTION
  • 10.2 CLOUD
    • 10.2.1 DEMAND FOR SCALABLE AND CONTINUOUSLY UPDATED PLATFORMS TO DRIVE CLOUD AI ADOPTION IN SUPPLY CHAINS
  • 10.3 ON-PREMISES
    • 10.3.1 NEED FOR DATA SOVEREIGNTY AND REGULATORY COMPLIANCE TO DRIVE ON-PREMISES AI DEPLOYMENT
  • 10.4 HYBRID
    • 10.4.1 NEED FOR FLEXIBLE AI DEPLOYMENT ACROSS CLOUD AND ON-PREMISES TO DRIVE HYBRID ADOPTION

11 AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE

  • 11.1 INTRODUCTION
  • 11.2 LARGE ORGANIZATIONS
    • 11.2.1 GLOBAL SUPPLY CHAIN SCALE AND COMPLEXITY TO DRIVE AI ADOPTION AMONG LARGE ORGANIZATIONS
  • 11.3 SMALL & MEDIUM ORGANIZATIONS
    • 11.3.1 NEED FOR FASTER, DATA-DRIVEN DECISIONS TO DRIVE AI ADOPTION IN SUPPLY CHAINS FOR SMALL & MEDIUM ORGANIZATIONS

12 AI IN SUPPLY CHAIN MARKET, BY APPLICATION

  • 12.1 INTRODUCTION
  • 12.2 DEMAND PLANNING & FORECASTING
    • 12.2.1 RISING DEMAND VOLATILITY TO DRIVE ADOPTION OF AI-POWERED SUPPLY CHAIN SOLUTIONS FOR FORECASTING
  • 12.3 PROCUREMENT & SOURCING
    • 12.3.1 GROWING NEED TO AUTOMATE PURCHASING DECISIONS AND OPTIMIZE SOURCING STRATEGIES TO DRIVE AI ADOPTION IN PROCUREMENT
  • 12.4 INVENTORY MANAGEMENT
    • 12.4.1 GROWING PRESSURE TO MINIMIZE MANUAL ERRORS AND OPERATIONAL COSTS TO BOOST AI-BASED INVENTORY MANAGEMENT ADOPTION
  • 12.5 PRODUCTION PLANNING & SCHEDULING
    • 12.5.1 RISING FOCUS ON THROUGHPUT OPTIMIZATION AND DOWNTIME REDUCTION TO DRIVE AI ADOPTION IN PRODUCTION SCHEDULING
  • 12.6 WAREHOUSE & TRANSPORTATION MANAGEMENT
    • 12.6.1 SHIFT TOWARD AUTOMATED WAREHOUSES AND INTELLIGENT LOGISTICS NETWORKS TO DRIVE DEMAND FOR AI IN SUPPLY CHAIN EXECUTION
  • 12.7 SUPPLY CHAIN RISK MANAGEMENT
    • 12.7.1 FOCUS OF ENTERPRISES ON RESILIENCE AND CONTINUITY TO DRIVE DEPLOYMENT OF AI-DRIVEN SUPPLY CHAIN RISK SOLUTIONS
  • 12.8 OTHER APPLICATIONS

13 AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY

  • 13.1 INTRODUCTION
  • 13.2 RETAIL
    • 13.2.1 EXPANSION OF AI ACROSS RETAIL PLANNING, INVENTORY OPTIMIZATION, AND LOGISTICS EXECUTION TO DRIVE MARKET
  • 13.3 HEALTHCARE & PHARMACEUTICALS
    • 13.3.1 NEED TO REDUCE SHORTAGES AND IMPROVE FORECAST ACCURACY TO DRIVE AI ADOPTION IN HEALTHCARE & PHARMACEUTICAL SUPPLY CHAIN
  • 13.4 FOOD & BEVERAGES
    • 13.4.1 NEED TO REDUCE WASTE AND IMPROVE INVENTORY TURNOVER TO DRIVE AI ADOPTION IN FOOD & BEVERAGES SUPPLY CHAIN
  • 13.5 AUTOMOTIVE
    • 13.5.1 SURGE IN DEMAND FOR ELECTRIC AND SOFTWARE-DEFINED VEHICLES TO DRIVE MARKET
  • 13.6 LOGISTICS & TRANSPORTATION
    • 13.6.1 NEED FOR REAL-TIME SHIPMENT VISIBILITY TO ACCELERATE AI ADOPTION IN LOGISTICS & TRANSPORTATION
  • 13.7 AEROSPACE & DEFENSE
    • 13.7.1 MISSION-CRITICAL PRODUCTION SCHEDULES TO ACCELERATE AI INTEGRATION IN AEROSPACE & DEFENSE SUPPLY CHAIN
  • 13.8 CHEMICALS
    • 13.8.1 NEED TO MANAGE COMPLEX, TIGHTLY COUPLED CHEMICAL PRODUCTION NETWORKS TO DRIVE AI ADOPTION IN SUPPLY CHAIN
  • 13.9 ELECTRONICS & SEMICONDUCTOR
    • 13.9.1 RAPID TECHNOLOGY TRANSITIONS AND MULTI-TIER SUPPLIER DEPENDENCE TO FUEL MARKET GROWTH
  • 13.10 ENERGY & UTILITIES
    • 13.10.1 RISING INFRASTRUCTURE COMPLEXITY TO DRIVE AI INTEGRATION IN ENERGY & UTILITIES SUPPLY CHAIN
  • 13.11 MANUFACTURING
    • 13.11.1 DEMAND FOR REAL-TIME PRODUCTION COORDINATION TO DRIVE AI-ENABLED SUPPLY CHAIN TRANSFORMATION IN MANUFACTURING
  • 13.12 OTHER END-USE INDUSTRIES

14 AI IN SUPPLY CHAIN MARKET, BY REGION

  • 14.1 INTRODUCTION
  • 14.2 NORTH AMERICA
    • 14.2.1 US
      • 14.2.1.1 Integration of robotics and AI to transform supply chain productivity
    • 14.2.2 CANADA
      • 14.2.2.1 National AI strategy and ecosystem partnerships to propel intelligent supply chain transformation
    • 14.2.3 MEXICO
      • 14.2.3.1 Manufacturing expansion and cross-border trade to propel market growth
  • 14.3 EUROPE
    • 14.3.1 GERMANY
      • 14.3.1.1 Automotive sector investments to strengthen AI-driven supply chain efficiency
    • 14.3.2 UK
      • 14.3.2.1 Government initiatives and policy support to drive AI adoption across supply chains
    • 14.3.3 FRANCE
      • 14.3.3.1 Life sciences and pharmaceutical expansion to boost AI deployment in supply chain ecosystem
    • 14.3.4 ITALY
      • 14.3.4.1 Government focus on accelerating industrial digital transformation across supply chains to drive market
    • 14.3.5 REST OF EUROPE
  • 14.4 ASIA PACIFIC
    • 14.4.1 CHINA
      • 14.4.1.1 AI-powered logistics and e-commerce ecosystems to propel supply chain efficiency and automation
    • 14.4.2 JAPAN
      • 14.4.2.1 AI-driven forecasting and automation to enhance resilience and efficiency in pharmaceutical supply chains
    • 14.4.3 SOUTH KOREA
      • 14.4.3.1 Digital twin and robotics integration to optimize electronics manufacturing supply chains
    • 14.4.4 INDIA
      • 14.4.4.1 Public-private partnerships to drive AI innovation and intelligent supply chain development
    • 14.4.5 REST OF ASIA PACIFIC
  • 14.5 REST OF THE WORLD
    • 14.5.1 MIDDLE EAST & AFRICA
      • 14.5.1.1 Government AI strategies and smart logistics investments to drive supply chain modernization
      • 14.5.1.2 GCC
      • 14.5.1.3 Rest of Middle East & Africa
    • 14.5.2 SOUTH AMERICA
      • 14.5.2.1 Industrial automation and AI-driven manufacturing to enhance supply chain efficiency

15 COMPETITIVE LANDSCAPE

  • 15.1 OVERVIEW
  • 15.2 KEY PLAYER COMPETITIVE STRATEGIES/RIGHT TO WIN, 2021-2025
  • 15.3 REVENUE ANALYSIS, 2021-2024
  • 15.4 MARKET SHARE ANALYSIS, 2024
  • 15.5 COMPANY VALUATION AND FINANCIAL METRICS
  • 15.6 BRAND/PRODUCT COMPARISON
  • 15.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
    • 15.7.1 STARS
    • 15.7.2 EMERGING LEADERS
    • 15.7.3 PERVASIVE PLAYERS
    • 15.7.4 PARTICIPANTS
    • 15.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
      • 15.7.5.1 Company footprint
      • 15.7.5.2 Regional footprint
      • 15.7.5.3 Offering footprint
      • 15.7.5.4 Deployment footprint
      • 15.7.5.5 Organization size footprint
      • 15.7.5.6 Application footprint
      • 15.7.5.7 End-use industry footprint
  • 15.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
    • 15.8.1 PROGRESSIVE COMPANIES
    • 15.8.2 RESPONSIVE COMPANIES
    • 15.8.3 DYNAMIC COMPANIES
    • 15.8.4 STARTING BLOCKS
    • 15.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
      • 15.8.5.1 Detailed list of key startups/SMEs
      • 15.8.5.2 Competitive benchmarking of key startups/SMEs
  • 15.9 COMPETITIVE SCENARIO
    • 15.9.1 PRODUCT LAUNCHES/ENHANCEMENTS
    • 15.9.2 DEALS

16 COMPANY PROFILES

  • 16.1 KEY PLAYERS
    • 16.1.1 SAP SE
      • 16.1.1.1 Business overview
      • 16.1.1.2 Products/Services/Solutions offered
      • 16.1.1.3 Recent developments
        • 16.1.1.3.1 Product launches/enhancements
        • 16.1.1.3.2 Deals
      • 16.1.1.4 MnM view
        • 16.1.1.4.1 Key strengths
        • 16.1.1.4.2 Strategic choices
        • 16.1.1.4.3 Weaknesses & competitive threats
    • 16.1.2 ORACLE
      • 16.1.2.1 Business overview
      • 16.1.2.2 Products/Services/Solutions offered
      • 16.1.2.3 Recent developments
        • 16.1.2.3.1 Product launches/enhancements
        • 16.1.2.3.2 Deals
      • 16.1.2.4 MnM view
        • 16.1.2.4.1 Key strengths
        • 16.1.2.4.2 Strategic choices
        • 16.1.2.4.3 Weaknesses & competitive threats
    • 16.1.3 BLUE YONDER GROUP, INC.
      • 16.1.3.1 Business overview
      • 16.1.3.2 Products/Services/Solutions offered
      • 16.1.3.3 Recent developments
        • 16.1.3.3.1 Product launches/enhancements
        • 16.1.3.3.2 Deals
      • 16.1.3.4 MnM view
        • 16.1.3.4.1 Key strengths
        • 16.1.3.4.2 Strategic choices
        • 16.1.3.4.3 Weaknesses & competitive threats
    • 16.1.4 MANHATTAN ASSOCIATES
      • 16.1.4.1 Business overview
      • 16.1.4.2 Products/Services/Solutions offered
      • 16.1.4.3 Recent developments
        • 16.1.4.3.1 Product launches/enhancements
        • 16.1.4.3.2 Deals
      • 16.1.4.4 MnM view
        • 16.1.4.4.1 Key strengths
        • 16.1.4.4.2 Strategic choices
        • 16.1.4.4.3 Weaknesses & competitive threats
    • 16.1.5 KINAXIS INC.
      • 16.1.5.1 Business overview
      • 16.1.5.2 Products/Services/Solutions offered
      • 16.1.5.3 Recent developments
        • 16.1.5.3.1 Product launches/enhancements
        • 16.1.5.3.2 Deals
      • 16.1.5.4 MnM view
        • 16.1.5.4.1 Key strengths
        • 16.1.5.4.2 Strategic choices
        • 16.1.5.4.3 Weaknesses & competitive threats
    • 16.1.6 IBM
      • 16.1.6.1 Business overview
      • 16.1.6.2 Products/Services/Solutions offered
      • 16.1.6.3 Recent developments
        • 16.1.6.3.1 Deals
    • 16.1.7 MICROSOFT
      • 16.1.7.1 Business overview
      • 16.1.7.2 Products/Services/Solutions offered
      • 16.1.7.3 Recent developments
        • 16.1.7.3.1 Deals
    • 16.1.8 AMAZON WEB SERVICES, INC.
      • 16.1.8.1 Business overview
      • 16.1.8.2 Products/Services/Solutions offered
      • 16.1.8.3 Recent developments
        • 16.1.8.3.1 Product launches/enhancements
        • 16.1.8.3.2 Deals
    • 16.1.9 ANAPLAN, INC.
      • 16.1.9.1 Business overview
      • 16.1.9.2 Products/Services/Solutions offered
      • 16.1.9.3 Recent developments
        • 16.1.9.3.1 Product launches/enhancements
        • 16.1.9.3.2 Deals
    • 16.1.10 LOGILITY SUPPLY CHAIN SOLUTIONS, INC.
      • 16.1.10.1 Business overview
      • 16.1.10.2 Products/Services/Solutions offered
      • 16.1.10.3 Recent developments
        • 16.1.10.3.1 Product launches/enhancements
        • 16.1.10.3.2 Deals
  • 16.2 OTHER PLAYERS
    • 16.2.1 GEP
    • 16.2.2 COUPA
    • 16.2.3 O9 SOLUTIONS, INC.
    • 16.2.4 ALIBABA CLOUD
    • 16.2.5 ALTANA
    • 16.2.6 PROJECT44
    • 16.2.7 RESILINC CORPORATION
    • 16.2.8 FOURKITES, INC.
    • 16.2.9 FERO.AI
    • 16.2.10 INFOR
    • 16.2.11 CONVECT.AI, INC.
    • 16.2.12 LVRG, INC.
    • 16.2.13 EVERSTREAM ANALYTICS
    • 16.2.14 RELEX SOLUTIONS
    • 16.2.15 E2OPEN, LLC

17 RESEARCH METHODOLOGY

  • 17.1 RESEARCH DATA
    • 17.1.1 SECONDARY DATA
      • 17.1.1.1 Major secondary sources
      • 17.1.1.2 Key data from secondary sources
    • 17.1.2 PRIMARY DATA
      • 17.1.2.1 List of primary interview participants
      • 17.1.2.2 Breakdown of primaries
      • 17.1.2.3 Key data from primary sources
      • 17.1.2.4 Key industry insights
    • 17.1.3 SECONDARY AND PRIMARY RESEARCH
  • 17.2 MARKET SIZE ESTIMATION
    • 17.2.1 BOTTOM-UP APPROACH
      • 17.2.1.1 Approach to estimate market size using bottom-up analysis (supply side)
    • 17.2.2 TOP-DOWN APPROACH
      • 17.2.2.1 Approach to estimate market size using top-down analysis (demand side)
  • 17.3 MARKET BREAKDOWN AND DATA TRIANGULATION
  • 17.4 RESEARCH ASSUMPTIONS
  • 17.5 RISK ASSESSMENT
  • 17.6 RESEARCH LIMITATIONS

18 APPENDIX

  • 18.1 DISCUSSION GUIDE
  • 18.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 18.3 CUSTOMIZATION OPTIONS
  • 18.4 RELATED REPORTS
  • 18.5 AUTHOR DETAILS
Show more
Product Code: SE 6402

List of Tables

  • TABLE 1 IMPACT OF PORTER'S FIVE FORCES ON AI IN SUPPLY CHAIN MARKET
  • TABLE 2 GDP PERCENTAGE CHANGE, BY KEY COUNTRY, 2021-2030
  • TABLE 3 ROLE OF PLAYERS IN AI IN SUPPLY CHAIN ECOSYSTEM
  • TABLE 4 INDICATIVE PRICING ANALYSIS OF KEY PLAYERS, BY DEPLOYMENT, 2024 (USD/YEAR)
  • TABLE 5 INDICATIVE PRICING ANALYSIS OF CLOUD DEPLOYMENT, BY REGION, 2021-2024 (USD/YEAR)
  • TABLE 6 INDICATIVE PRICING ANALYSIS OF ON-PREMISES DEPLOYMENT, BY REGION, 2021-2024 (USD/YEAR)
  • TABLE 7 INDICATIVE PRICING ANALYSIS OF HYBRID DEPLOYMENT, BY REGION, 2021-2024 (USD/YEAR)
  • TABLE 8 KEY CONFERENCES AND EVENTS, 2025-2027
  • TABLE 9 US ADJUSTED RECIPROCAL TARIFF RATES
  • TABLE 10 LIST OF APPLIED/GRANTED PATENTS RELATED TO AI IN SUPPLY CHAIN, JUNE 2023-SEPTEMBER 2025
  • TABLE 11 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 14 REST OF WORLD: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 15 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USE INDUSTRIES (%)
  • TABLE 16 KEY BUYING CRITERIA FOR TOP THREE END-USE INDUSTRIES
  • TABLE 17 UNMET NEEDS IN AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY
  • TABLE 18 AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021-2024 (USD MILLION)
  • TABLE 19 AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 20 SOFTWARE: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2021-2024 (USD MILLION)
  • TABLE 21 SOFTWARE: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2025-2032 (USD MILLION)
  • TABLE 22 SOFTWARE: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 23 SOFTWARE: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 24 SERVICES: AI IN SUPPLY CHAIN MARKET, BY TYPE, 2021-2024 (USD MILLION)
  • TABLE 25 SERVICES: AI IN SUPPLY CHAIN MARKET, BY TYPE, 2025-2032 (USD MILLION)
  • TABLE 26 SERVICES: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2021-2024 (USD MILLION)
  • TABLE 27 SERVICES: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2025-2032 (USD MILLION)
  • TABLE 28 SERVICES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 29 SERVICES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 30 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2021-2024 (USD MILLION)
  • TABLE 31 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2025-2032 (USD MILLION)
  • TABLE 32 CLOUD: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 33 CLOUD: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 34 ON-PREMISES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 35 ON-PREMISES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 36 HYBRID: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 37 HYBRID: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 38 AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 39 AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 40 AI IN SUPPLY CHAIN MARKET, BY APPLICATION, 2021-2024 (USD MILLION)
  • TABLE 41 AI IN SUPPLY CHAIN MARKET, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 42 AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2021-2024 (USD MILLION)
  • TABLE 43 AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2025-2032 (USD MILLION)
  • TABLE 44 RETAIL: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021-2024 (USD MILLION)
  • TABLE 45 RETAIL: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 46 RETAIL: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 47 RETAIL: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 48 HEALTHCARE & PHARMACEUTICALS: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021-2024 (USD MILLION)
  • TABLE 49 HEALTHCARE & PHARMACEUTICALS: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 50 HEALTHCARE & PHARMACEUTICALS: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 51 HEALTHCARE & PHARMACEUTICALS: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 52 FOOD & BEVERAGES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021-2024 (USD MILLION)
  • TABLE 53 FOOD & BEVERAGES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 54 FOOD & BEVERAGES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 55 FOOD & BEVERAGES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 56 AUTOMOTIVE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021-2024 (USD MILLION)
  • TABLE 57 AUTOMOTIVE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 58 AUTOMOTIVE: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 59 AUTOMOTIVE: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 60 LOGISTICS & TRANSPORTATION: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021-2024 (USD MILLION)
  • TABLE 61 LOGISTICS & TRANSPORTATION: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 62 LOGISTICS & TRANSPORTATION: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 63 LOGISTICS & TRANSPORTATION: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 64 AEROSPACE & DEFENSE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021-2024 (USD MILLION)
  • TABLE 65 AEROSPACE & DEFENSE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 66 AEROSPACE & DEFENSE: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 67 AEROSPACE & DEFENSE: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 68 CHEMICALS: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021-2024 (USD MILLION)
  • TABLE 69 CHEMICALS: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 70 CHEMICALS: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 71 CHEMICALS: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 72 ELECTRONICS & SEMICONDUCTOR: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021-2024 (USD MILLION)
  • TABLE 73 ELECTRONICS & SEMICONDUCTOR: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 74 ELECTRONICS & SEMICONDUCTOR: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 75 ELECTRONICS & SEMICONDUCTOR: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 76 ENERGY & UTILITIES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021-2024 (USD MILLION)
  • TABLE 77 ENERGY & UTILITIES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 78 ENERGY & UTILITIES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 79 ENERGY & UTILITIES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 80 MANUFACTURING: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021-2024 (USD MILLION)
  • TABLE 81 MANUFACTURING: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 82 MANUFACTURING: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 83 MANUFACTURING: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 84 OTHER END-USE INDUSTRIES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021-2024 (USD MILLION)
  • TABLE 85 OTHER END-USE INDUSTRIES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 86 OTHER END-USE INDUSTRIES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 87 OTHER END-USE INDUSTRIES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 88 AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 89 AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 90 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021-2024 (USD MILLION)
  • TABLE 91 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 92 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2021-2024 (USD MILLION)
  • TABLE 93 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2025-2032 (USD MILLION)
  • TABLE 94 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 95 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 96 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2021-2024 (USD MILLION)
  • TABLE 97 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2025-2032 (USD MILLION)
  • TABLE 98 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2021-2024 (USD MILLION)
  • TABLE 99 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 100 US: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 101 US: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 102 CANADA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 103 CANADA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 104 MEXICO: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 105 MEXICO: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 106 EUROPE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021-2024 (USD MILLION)
  • TABLE 107 EUROPE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 108 EUROPE: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2021-2024 (USD MILLION)
  • TABLE 109 EUROPE: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2025-2032 (USD MILLION)
  • TABLE 110 EUROPE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 111 EUROPE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 112 EUROPE: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2021-2024 (USD MILLION)
  • TABLE 113 EUROPE: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2025-2032 (USD MILLION)
  • TABLE 114 EUROPE: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2021-2024 (USD MILLION)
  • TABLE 115 EUROPE: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 116 GERMANY: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 117 GERMANY: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 118 UK: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 119 UK: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 120 FRANCE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 121 FRANCE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 122 ITALY: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 123 ITALY: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 124 REST OF EUROPE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 125 REST OF EUROPE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 126 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021-2024 (USD MILLION)
  • TABLE 127 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 128 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2021-2024 (USD MILLION)
  • TABLE 129 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2025-2032 (USD MILLION)
  • TABLE 130 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 131 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 132 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2021-2024 (USD MILLION)
  • TABLE 133 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2025-2032 (USD MILLION)
  • TABLE 134 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2021-2024 (USD MILLION)
  • TABLE 135 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 136 CHINA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 137 CHINA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 138 JAPAN: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 139 JAPAN: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 140 SOUTH KOREA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 141 SOUTH KOREA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 142 INDIA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 143 INDIA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 144 REST OF ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 145 REST OF ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 146 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2021-2024 (USD MILLION)
  • TABLE 147 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 148 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2021-2024 (USD MILLION)
  • TABLE 149 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2025-2032 (USD MILLION)
  • TABLE 150 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 151 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 152 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2021-2024 (USD MILLION)
  • TABLE 153 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2025-2032 (USD MILLION)
  • TABLE 154 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 155 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 156 MIDDLE EAST & AFRICA: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2021-2024 (USD MILLION)
  • TABLE 157 MIDDLE EAST & AFRICA: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 158 MIDDLE EAST & AFRICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 159 MIDDLE EAST & AFRICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 160 SOUTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2021-2024 (USD MILLION)
  • TABLE 161 SOUTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2025-2032 (USD MILLION)
  • TABLE 162 OVERVIEW OF STRATEGIES ADOPTED BY AI IN SUPPLY CHAIN PROVIDERS, 2021-2025
  • TABLE 163 AI IN SUPPLY CHAIN MARKET SHARE ANALYSIS, 2024
  • TABLE 164 AI IN SUPPLY CHAIN MARKET: REGIONAL FOOTPRINT, 2024
  • TABLE 165 AI IN SUPPLY CHAIN MARKET: OFFERING FOOTPRINT, 2024
  • TABLE 166 AI IN SUPPLY CHAIN MARKET: DEPLOYMENT FOOTPRINT, 2024
  • TABLE 167 AI IN SUPPLY CHAIN MARKET: ORGANIZATION SIZE FOOTPRINT, 2024
  • TABLE 168 AI IN SUPPLY CHAIN MARKET: APPLICATION FOOTPRINT, 2024
  • TABLE 169 AI IN SUPPLY CHAIN MARKET: END-USE INDUSTRY FOOTPRINT, 2024
  • TABLE 170 AI IN SUPPLY CHAIN MARKET: LIST OF KEY STARTUPS/SMES, 2024
  • TABLE 171 AI IN SUPPLY CHAIN MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES, 2024
  • TABLE 172 AI IN SUPPLY CHAIN MARKET: PRODUCT LAUNCHES/ENHANCEMENTS, JANUARY 2021-DECEMBER 2025
  • TABLE 173 AI IN SUPPLY CHAIN MARKET: DEALS, JANUARY 2021-DECEMBER 2025
  • TABLE 174 SAP SE: COMPANY OVERVIEW
  • TABLE 175 SAP SE: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 176 SAP SE: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 177 SAP SE: DEALS
  • TABLE 178 ORACLE: COMPANY OVERVIEW
  • TABLE 179 ORACLE: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 180 ORACLE: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 181 ORACLE: DEALS
  • TABLE 182 BLUE YONDER GROUP, INC.: COMPANY OVERVIEW
  • TABLE 183 BLUE YONDER GROUP, INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 184 BLUE YONDER GROUP, INC.: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 185 BLUE YONDER GROUP, INC.: DEALS
  • TABLE 186 MANHATTAN ASSOCIATES: COMPANY OVERVIEW
  • TABLE 187 MANHATTAN ASSOCIATES: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 188 MANHATTAN ASSOCIATES: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 189 MANHATTAN ASSOCIATES: DEALS
  • TABLE 190 KINAXIS INC.: COMPANY OVERVIEW
  • TABLE 191 KINAXIS INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 192 KINAXIS INC.: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 193 KINAXIS INC.: DEALS
  • TABLE 194 IBM: COMPANY OVERVIEW
  • TABLE 195 IBM: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 196 IBM: DEALS
  • TABLE 197 MICROSOFT: COMPANY OVERVIEW
  • TABLE 198 MICROSOFT: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 199 MICROSOFT: DEALS
  • TABLE 200 AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW
  • TABLE 201 AMAZON WEB SERVICES, INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 202 AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 203 AMAZON WEB SERVICES, INC.: DEALS
  • TABLE 204 ANAPLAN, INC.: COMPANY OVERVIEW
  • TABLE 205 ANAPLAN, INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 206 ANAPLAN, INC.: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 207 ANAPLAN, INC.: DEALS
  • TABLE 208 LOGILITY SUPPLY CHAIN SOLUTIONS, INC.: COMPANY OVERVIEW
  • TABLE 209 LOGILITY SUPPLY CHAIN SOLUTIONS, INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 210 LOGILITY SUPPLY CHAIN SOLUTIONS, INC.: PRODUCT LAUNCHES/ENHANCEMENTS
  • TABLE 211 LOGILITY SUPPLY CHAIN SOLUTIONS, INC.: DEALS
  • TABLE 212 GEP: COMPANY OVERVIEW
  • TABLE 213 COUPA: COMPANY OVERVIEW
  • TABLE 214 O9 SOLUTIONS, INC.: COMPANY OVERVIEW
  • TABLE 215 ALIBABA CLOUD: COMPANY OVERVIEW
  • TABLE 216 ALTANA: COMPANY OVERVIEW
  • TABLE 217 PROJECT44: COMPANY OVERVIEW
  • TABLE 218 RESILINC CORPORATION: COMPANY OVERVIEW
  • TABLE 219 FOURKITES, INC.: COMPANY OVERVIEW
  • TABLE 220 FERO.AI: COMPANY OVERVIEW
  • TABLE 221 INFOR: COMPANY OVERVIEW
  • TABLE 222 CONVECT.AI, INC.: COMPANY OVERVIEW
  • TABLE 223 LVRG, INC.: COMPANY OVERVIEW
  • TABLE 224 EVERSTREAM ANALYTICS: COMPANY OVERVIEW
  • TABLE 225 RELEX SOLUTIONS: COMPANY OVERVIEW
  • TABLE 226 E2OPEN, LLC: COMPANY OVERVIEW
  • TABLE 227 AI IN SUPPLY CHAIN MARKET: RISK ANALYSIS

List of Figures

  • FIGURE 1 AI IN SUPPLY CHAIN MARKET: SEGMENTATION AND REGIONAL SCOPE
  • FIGURE 2 MARKET SCENARIO
  • FIGURE 3 GLOBAL AI IN SUPPLY CHAIN MARKET, 2021-2032
  • FIGURE 4 MAJOR STRATEGIES ADOPTED BY KEY PLAYERS IN AI IN SUPPLY CHAIN MARKET, 2021-2025
  • FIGURE 5 DISRUPTIONS INFLUENCING GROWTH OF AI IN SUPPLY CHAIN MARKET
  • FIGURE 6 HIGH-GROWTH SEGMENTS IN AI IN SUPPLY CHAIN MARKET, 2025-2032
  • FIGURE 7 ASIA PACIFIC TO REGISTER HIGHEST CAGR, IN TERMS OF VALUE, DURING FORECAST PERIOD
  • FIGURE 8 RISING FOCUS ON SUPPLY CHAIN RESILIENCE AND RISK MANAGEMENT TO DRIVE MARKET
  • FIGURE 9 SOFTWARE SEGMENT TO DOMINATE FROM 2025 TO 2032
  • FIGURE 10 CLOUD AND LARGE ORGANIZATIONS SEGMENTS TO LEAD MARKET IN 2025
  • FIGURE 11 DEMAND PLANNING & FORECASTING SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 12 AUTOMOTIVE SEGMENT TO REGISTER FASTEST GROWTH DURING FORECAST PERIOD
  • FIGURE 13 INDIA TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 14 AI IN SUPPLY CHAIN MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 15 IMPACT OF DRIVERS ON AI IN SUPPLY CHAIN MARKET
  • FIGURE 16 IMPACT OF RESTRAINTS ON AI IN SUPPLY CHAIN MARKET
  • FIGURE 17 IMPACT OF OPPORTUNITIES ON AI IN SUPPLY CHAIN MARKET
  • FIGURE 18 IMPACT OF CHALLENGES ON AI IN SUPPLY CHAIN MARKET
  • FIGURE 19 AI IN SUPPLY CHAIN MARKET: PORTER'S FIVE FORCES ANALYSIS
  • FIGURE 20 AI IN SUPPLY CHAIN MARKET: VALUE CHAIN ANALYSIS
  • FIGURE 21 AI IN SUPPLY CHAIN MARKET: ECOSYSTEM ANALYSIS
  • FIGURE 22 AVERAGE SELLING PRICE TREND OF CLOUD DEPLOYMENT, BY REGION, 2021-2024 (USD/YEAR)
  • FIGURE 23 AVERAGE SELLING PRICE TREND OF ON-PREMISES DEPLOYMENT, BY REGION, 2021-2024 (USD/YEAR)
  • FIGURE 24 AVERAGE SELLING PRICE TREND OF HYBRID DEPLOYMENT, BY REGION, 2021-2024 (USD/YEAR)
  • FIGURE 25 TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 26 INVESTMENT AND FUNDING SCENARIO, 2021-2025 (USD MILLION)
  • FIGURE 27 PATENTS APPLIED AND GRANTED, 2014-2024
  • FIGURE 28 AI IN SUPPLY CHAIN MARKET DECISION-MAKING FACTORS
  • FIGURE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USE INDUSTRIES
  • FIGURE 30 KEY BUYING CRITERIA FOR TOP THREE END-USE INDUSTRIES
  • FIGURE 31 ADOPTION BARRIERS AND INTERNAL CHALLENGES
  • FIGURE 32 SOFTWARE SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD
  • FIGURE 33 CLOUD SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD
  • FIGURE 34 SMALL & MEDIUM ORGANIZATIONS SEGMENT TO GROW AT HIGHER RATE DURING FORECAST PERIOD
  • FIGURE 35 DEMAND PLANNING & FORECASTING SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 36 AUTOMOTIVE SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 37 NORTH AMERICA TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 38 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET SNAPSHOT
  • FIGURE 39 US TO DOMINATE MARKET IN NORTH AMERICA DURING FORECAST PERIOD
  • FIGURE 40 EUROPE: AI IN SUPPLY CHAIN MARKET SNAPSHOT
  • FIGURE 41 GERMANY TO LEAD MARKET IN EUROPE DURING FORECAST PERIOD
  • FIGURE 42 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET SNAPSHOT
  • FIGURE 43 CHINA TO LEAD MARKET IN ASIA PACIFIC DURING FORECAST PERIOD
  • FIGURE 44 REST OF THE WORLD: AI IN SUPPLY CHAIN MARKET SNAPSHOT
  • FIGURE 45 MIDDLE EAST & AFRICA TO LEAD MARKET IN REST OF THE WORLD DURING FORECAST PERIOD
  • FIGURE 46 REVENUE ANALYSIS OF FOUR KEY PLAYERS IN AI IN SUPPLY CHAIN MARKET, 2021-2024 (USD MILLION)
  • FIGURE 47 AI IN SUPPLY CHAIN MARKET: SHARE ANALYSIS OF KEY PLAYERS
  • FIGURE 48 COMPANY VALUATION, 2025 (USD BILLION)
  • FIGURE 49 FINANCIAL METRICS (EV/EBITDA), 2025
  • FIGURE 50 BRAND/PRODUCT COMPARISON
  • FIGURE 51 AI IN SUPPLY CHAIN MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024
  • FIGURE 52 AI IN SUPPLY CHAIN MARKET: COMPANY FOOTPRINT, 2024
  • FIGURE 53 AI IN SUPPLY CHAIN MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024
  • FIGURE 54 SAP SE: COMPANY SNAPSHOT
  • FIGURE 55 ORACLE: COMPANY SNAPSHOT
  • FIGURE 56 MANHATTAN ASSOCIATES: COMPANY SNAPSHOT
  • FIGURE 57 KINAXIS INC.: COMPANY SNAPSHOT
  • FIGURE 58 IBM: COMPANY SNAPSHOT
  • FIGURE 59 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 60 AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
  • FIGURE 61 AI IN SUPPLY CHAIN MARKET: RESEARCH DESIGN
  • FIGURE 62 AI IN SUPPLY CHAIN MARKET: RESEARCH FLOW OF MARKET SIZE ESTIMATION
  • FIGURE 63 AI IN SUPPLY CHAIN MARKET: SUPPLY SIDE ANALYSIS
  • FIGURE 64 AI IN SUPPLY CHAIN MARKET: BOTTOM-UP APPROACH
  • FIGURE 65 AI IN SUPPLY CHAIN MARKET: TOP-DOWN APPROACH
  • FIGURE 66 AI IN SUPPLY CHAIN MARKET: DATA TRIANGULATION
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