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全球供应链人工智慧市场：依产品/服务、部署方式、组织规模、应用领域、最终用户产业和地区划分－预测至2032年
市场调查报告书
商品编码
1931748

全球供应链人工智慧市场：依产品/服务、部署方式、组织规模、应用领域、最终用户产业和地区划分－预测至2032年

AI in Supply Chain Market by Offering (Software, Services), Deployment (Cloud, On-premises, Hybrid), Application (Demand Planning & Forecasting, Warehouse & Transportation Management, Supply Chain Risk Management) - Global Forecast to 2032
出版日期: | 出版商: MarketsandMarkets | 英文 311 Pages | 订单完成后即时交付

价格

全球供应链人工智慧市场预计将从 2025 年的 139.3 亿美元成长到 2032 年的 504.1 亿美元，复合年增长率为 20.2%。

随着企业面临日益复杂的供应链、不断变化的需求和频繁的业务中断等挑战，市场正在快速成长。

调查范围
调查期 2021-2032
基准年 2024
预测期 2025-2032
目标单元 金额（十亿美元）
部分 按产品/服务、部署方式、组织规模、应用领域、最终用户产业和地区划分
目标区域 北美、欧洲、亚太地区及其他地区

企业正利用人工智慧改善需求预测、库存管理和物流规划，以实现更快、更精准的决策。云端系统、即时数据利用和数位化供应链平台的普及应用进一步推动了这一成长。提高全球供应链网路的韧性、降低成本和提升整体视觉性，使得人工智慧成为各产业数据驱动型供应链转型不可或缺的一部分。

供应链市场中的人工智慧-IMG1

供应链人工智慧市场的服务领域预计将迎来快速成长。这一成长主要受人工智慧计划日益复杂化以及对客製化解决方案需求的驱动。企业需要资料准备、模型客製化、系统整合以及将人工智慧与现有ERP、仓库和运输系统整合等专业服务。随着需求模式和供应状况的变化，变更管理、使用者培训和持续最佳化也是服务领域维持人工智慧模型准确性的关键环节。随着企业在各个职能部门和地区采用人工智慧，对咨询、託管服务和效能监控的需求也日益增长。向基于云端和订阅的人工智慧系统的转变也促进了长期服务合约的签订，使服务成为供应链人工智慧市场成长要素。

由于业务流程复杂、供应商网路遍布全球且拥有雄厚的技术预算，大型企业在供应链人工智慧市场占据了最大份额。这些企业面临着许多挑战，例如应对需求波动、优化库存以及协调跨区域的物流，因此，人工智慧驱动的规划和优化至关重要。大型企业往往是需求预测、情境规划、预测性风险分析和即时供应链视觉化等先进工具的早期采用者，它们有能力投资于强大的数据系统、云端服务和跨组织集成，从而能够快速、广泛地应用人工智慧。此外，大型企业通常拥有将人工智慧融入采购、製造和分销等环节的长期数位转型计划，从而巩固其市场主导地位。

由于欧洲拥有紧密的贸易网络、强大的出口导向产业基础以及对供应链韧性的重视，预计欧洲将在供应链人工智慧市场占据主要份额。欧洲各地的企业正越来越多地利用人工智慧来管理供应商风险、优化生产计画并改善跨国营运之间的协作。人事费用上升和劳动力短缺也推动了人工智慧自动化在仓储、运输和需求计画领域的应用。此外，欧洲关于可追溯性、永续性和报告的法规也鼓励企业利用人工智慧分析来确保合规性和透明度。该地区对云端平台、数位双胞胎和数据共用倡议的日益普及，进一步推动了人工智慧的大规模应用。这些因素共同推动了人工智慧在欧洲供应链营运中的持续应用，并使其保持了强大的市场地位。

为了确认和检验二手研究中收集到的各个细分市场和子细分市场的规模，我们对供应链人工智慧市场的关键产业专家进行了广泛的一手访谈。本报告的主要研究参与者如下：

该研究汇集了来自各行各业专家的见解，涵盖零件供应商、一级供应商和整车製造商。主要调查参与者包括：

供应链人工智慧市场包括 SAP SE（德国）、Oracle（美国）、Blue Yonder Group, Inc.（美国）、Kinaxis Inc.（加拿大）、Manhattan Associates（美国）、IBM（美国）、微软（美国）、Amazon Web Services, Inc.（美国）、Anaplan, Inc.（美国）和 Logility Suppin Solutions, Inc.（美国）。

本研究对供应链人工智慧市场的主要企业进行了详细的竞争分析，包括公司简介、近期发展和关键市场策略。

调查范围

本报告从产品/服务、部署方式、组织规模、应用领域和最终用户行业等方面对供应链人工智慧市场进行了细分。报告中也探讨了市场驱动因素、挑战和限制因素，并详细分析了北美、欧洲、亚太地区和世界其他地区四大主要区域的市场情况。此外，报告还对主要参与企业进行了生态系统分析。

购买本报告的主要优势

  • 对关键驱动因素（巨量资料和人工智慧技术的日益普及、对供应链流程更高透明度的需求、快速采用人工智慧以提高客户满意度、转向基于云端的供应链解决方案、关注供应链韧性和中断后的风险缓解）、阻碍因素（熟练劳动力短缺、安全和资料隐私问题、高昂的实施和整合成本）、机会（对智慧业务流程和自动化的激增需求、透过人工智慧提高营运效率、用于即时决策智慧的生成式人工智慧的兴起）和挑战（难以实现无缝资料整合、资料品质和可用性不一致）的分析
  • 服务开发/创新：对供应链人工智慧市场的未来技术趋势、研发活动以及新产品和服务发布进行详细分析。
  • 市场发展：透过不同地区供应链人工智慧市场的分析，提供有关盈利市场的全面讯息
  • 市场多元化：全面介绍供应链人工智慧市场的新软体服务、前沿领域、最新发展和投资趋势。
  • 竞争格局分析：详细分析主要参与者的市场份额、成长策略和产品线，包括 SAP SE（德国）、Oracle（美国）、Blue Yonder Group, Inc.（美国）、Kinaxis Inc.（加拿大）、Manhattan Associates（美国）、IBM（美国）、Microsoft（美国）、 主要企业 Web Services, Inc.（美国）、A Solutions, Inc. Inc.（美国）、美国）。

目录

第一章 引言

第二章执行摘要

第三章重要考察

第四章 市场概览

  • 市场动态
    • 司机
    • 抑制因素
    • 机会
    • 任务
  • 相互关联的市场与跨产业机会
    • 互联市场
    • 跨产业机会
  • 一级/二级/三级公司的策略性倡议
    • 市场动态

第五章 产业趋势

  • 波特五力分析
  • 总体经济指标
  • 价值链分析
  • 生态系分析
  • 定价分析
  • 2025年至2027年主要会议及活动
  • 影响客户业务的趋势/干扰因素
  • 投资和资金筹措方案
  • 案例研究分析
  • 美国关税对2025年供应链人工智慧市场的影响

第六章：技术进步、人工智慧影响、专利、创新与未来应用

  • 关键新兴技术
  • 互补技术
  • 邻近技术
  • 技术/产品蓝图
  • 专利分析

第七章 监理环境

    • 监管机构、政府机构和其他组织
    • 标准
    • 政府法规

第八章：顾客状况与购买行为

  • 决策流程
  • 采购过程中的关键相关人员及其评估标准
    • 采购过程中的关键相关人员
    • 采购标准
  • 招募障碍和内部挑战
  • 各个终端用户产业尚未满足的需求

9. 供应链人工智慧市场（依产品/服务分类）

  • 软体
  • 服务

第十章：供应链人工智慧市场（以部署方式划分）

  • 云
  • 本地部署
  • 杂交种

第十一章：供应链人工智慧市场（依组织规模划分）

  • 大型组织
  • 小型企业

第十二章：供应链人工智慧市场（按应用领域划分）

  • 需求计划与预测
  • 采购
  • 库存管理
  • 生产计画与调度
  • 仓储/运输管理
  • 供应链风险管理
  • 其他的

第十三章 供应链人工智慧市场（依最终用户产业划分）

  • 零售
  • 医疗保健和製药
  • 食品/饮料
  • 车
  • 物流/运输
  • 航太/国防
  • 化学品
  • 电子和半导体
  • 能源与公共产业
  • 製造业
  • 其他的

第十四章 供应链人工智慧市场（按地区划分）

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 其他欧洲
  • 亚太地区
    • 中国
    • 日本
    • 韩国
    • 印度
    • 其他的
  • 其他地区
    • 中东和非洲
    • 南美洲

第十五章 竞争格局

  • 概述
  • 2021-2025年主要参与企业的竞争策略/优势
  • 2021-2024年收入分析
  • 2024年市占率分析
  • 估值和财务指标
  • 品牌/产品对比
  • 公司估值矩阵：主要参与企业，2024 年
  • 公司估值矩阵：Start-Ups/中小企业，2024 年
  • 竞争场景

第十六章：公司简介

  • 主要参与企业
    • SAP SE
    • ORACLE
    • BLUE YONDER GROUP, INC.
    • MANHATTAN ASSOCIATES
    • KINAXIS INC.
    • IBM
    • MICROSOFT
    • AMAZON WEB SERVICES, INC.
    • ANAPLAN, INC.
    • LOGILITY SUPPLY CHAIN SOLUTIONS, INC.
  • 其他公司
    • GEP
    • COUPA
    • O9 SOLUTIONS, INC.
    • ALIBABA CLOUD
    • ALTANA
    • PROJECT44
    • RESILINC CORPORATION
    • FOURKITES, INC.
    • FERO.AI
    • INFOR
    • CONVECT.AI, INC.
    • LVRG, INC.
    • EVERSTREAM ANALYTICS
    • RELEX SOLUTIONS
    • E2OPEN, LLC

第十七章调查方法

第十八章附录

Product Code: SE 6402

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)

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

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