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供应链中人工智慧的全球市场：按产品、按部署、按组织规模、按应用、按最终用途行业、按地区 - 到 2030 年的预测
市场调查报告书
商品编码
1593550

供应链中人工智慧的全球市场：按产品、按部署、按组织规模、按应用、按最终用途行业、按地区 - 到 2030 年的预测

AI in Supply Chain Market by Application (Demand Planning & Forecasting, Supply Chain Risk Management, Inventory Management, Warehouse & Transportation Management), Services (Professional, and Managed), Software - Global Forecast to 2030
出版日期: | 出版商: MarketsandMarkets | 英文 276 Pages | 订单完成后即时交付

价格

供应链人工智慧市场规模预计将从2024年的91.5亿美元增加到2030年的405.3亿美元，2024年至2030年复合年增长率为28.2%。

人工智慧正在提高客户对消费产品的满意度。这项改进透过保持销售追踪并因此获得更多客户而使组织受益。具有深度分析和即时监控功能的机器学习技术可以显着提高公司供应链的可见性，从而使他们能够提供更好的客户体验并跟上交货期限。因此，市场参与企业正在采用基于人工智慧的供应链管理解决方案来提高效率和生产力。

调查范围
调查年份 2020-2030
基准年 2023年
预测期 2024-2030
考虑单位 金额（十亿美元）
按细分市场 按产品、按部署、按组织规模、按应用、按最终用途行业、按地区
目标区域 北美、欧洲、亚太等地区

云端领域主要由云端基础的解决方案驱动，这些解决方案越来越多地被中小型企业采用，主要是因为它们提供了组织所需的灵活性、扩充性和经济高效的功能，这是有原因的。此外，基于云端基础的部署中复杂的安全解决方案的开发速度为现有的资料隐​​私问题提供了答案，这使得那些希望在不投资大规模本地基础设施的情况下部署人工智慧的企业具有吸引力。

美国公司面临降低成本同时保持高水准客户服务的压力和竞争。人工智慧供应链解决方案可以自动化工作、分析巨量资料并产生可行的见解，从而有可能在供应链中创造更高的效率、透明度和敏捷性。美国製造业和物流劳动力短缺。人工智慧的使用可以帮助消除人类劳动力并支持需要专业知识和经验的更高价值的业务相关活动。此外，美国是人工智慧研发的领先国家。这正在推动专门针对供应链应用的先进人工智慧解决方案的开发。

该报告研究了供应链市场中的全球人工智慧，包括产品、部署、组织规模、应用、最终用途行业、地区和参与市场的公司概况的趋势。

目录

第一章简介

第二章调查方法

第三章执行摘要

第 4 章重要考察

第五章市场概况

  • 介绍
  • 市场动态
  • 价值链分析
  • 生态系分析
  • 影响客户业务的趋势和颠覆
  • 技术分析
  • 投资金筹措场景
  • 波特五力分析
  • 主要相关人员和采购标准
  • 案例研究分析
  • 贸易分析
  • 专利分析
  • 2024-2025年重大会议和活动
  • 监管状况
  • 价格分析

第六章供应链中的人工智慧市场（按产品划分）

  • 介绍
  • 软体
  • 服务

第七章供应链中的人工智慧市场（按部署）

  • 介绍
  • 云
  • 本地
  • 混合

第八章供应链中的人工智慧市场，依组织规模划分

  • 介绍
  • 大公司
  • 小型企业

第九章供应链中的人工智慧市场，依应用分类

  • 介绍
  • 需求计划/预测
  • 采购/寻源
  • 库存管理
  • 生产计画/进度表
  • 仓储/运输管理
  • 供应链风险管理
  • 其他的

第 10 章 供应链市场中的人工智慧（依最终用途产业）

  • 介绍
  • 零售
  • 医疗保健/製药
  • 食品/饮料
  • 车
  • 物流/运输
  • 航太/国防
  • 化学品
  • 电子/半导体
  • 能源/公共事业
  • 製造业
  • 其他的

第十一章供应链中的人工智慧市场（按地区）

  • 介绍
  • 北美洲
  • 欧洲
  • 亚太地区
  • 其他领域

第十二章竞争格局

  • 概述
  • 主要参与企业的策略/秘密
  • 2019-2023年收益分析
  • 2023 年市场占有率分析
  • 企业价值评估及财务指标
  • 品牌/产品比较
  • 企业评估矩阵：主要参与企业，2023
  • 企业评估矩阵：Start-Ups/小型企业，2023 年
  • 竞争场景

第十三章 公司简介

  • 主要参与企业
    • SAP SE
    • ORACLE
    • BLUE YONDER GROUP, INC.
    • KINAXIS INC.
    • MANHATTAN ASSOCIATES
    • NVIDIA CORPORATION
    • ADVANCED MICRO DEVICES, INC.
    • INTEL CORPORATION
    • MICRON TECHNOLOGY, INC.
    • QUALCOMM TECHNOLOGIES, INC.
    • SAMSUNG
    • IBM
    • MICROSOFT
    • AMAZON WEB SERVICES, INC.
    • GOOGLE
    • ANAPLAN, INC.
  • 其他公司
    • LOGILITY SUPPLY CHAIN SOLUTIONS, INC.
    • COUPA
    • O9 SOLUTIONS, INC.
    • ALIBABA GROUP HOLDING LIMITED
    • FEDEX CORPORATION
    • DEUTSCHE POST AG
    • SERVICENOW
    • PROJECT44
    • RESILINC CORPORATION
    • FOURKITES, INC.
    • RELEX SOLUTIONS
    • CH ROBINSON WORLDWIDE, INC.
    • E2OPEN, LLC
    • FERO.AI

第十四章附录

Product Code: SE 6402

The AI in supply chain market is projected to grow from USD 9.15 billion in 2024 and is expected to reach USD 40.53 billion by 2030, growing at a CAGR of 28.2% from 2024 to 2030. AI has improved customers satisfaction toward consumer products. This improvement benefits the organization by maintaining sales tracking and hence garnering more customers. The machine learning techniques that involve deep analytics and real-time monitoring significantly enhance the supply chain visibility of the businesses and hence enable them to deliver better customer experiences and maintain the pace within the delivery timelines. Therefore, market players are employing AI-based supply chain management solutions to increase efficiency and productivity.

Scope of the Report
Years Considered for the Study2020-2030
Base Year2023
Forecast Period2024-2030
Units ConsideredValue (USD Billion)
SegmentsBy Application, Services, Software and Region
Regions coveredNorth America, Europe, APAC, RoW

"The cloud segment in the AI in supply chain market to witness higher growth rate during the forecast period."

Cloud segment is mainly driven by cloud-based solutions that are increasingly being adopted by small and medium enterprises, primarily because they provide the flexibility, scalability, and cost-effectiveness features that the organizations require. In addition, the speed in developing sophisticated security solutions for cloud-based deployment offers answers to issues that existed on data privacy and thus attract businesses seeking to adopt AI without investing in big premises-based infrastructure.

"The US is expected to hold the largest market size in the North America region during the forecast period."

The US companies face pressure and competition to reduce costs while maintaining high levels of customer service. AI supply chain solutions allow for the automation of tasks, analyzing big data, and generating actionable insights that might make efficiency, transparency, and agility inside the supply chain more efficient. There has been a manufacturing and logistics labor shortfall in the US. The use of AI helps to eliminate a human workforce so that activities relate more to higher-value tasks requiring expertise and experience. Further, the US is a leading country in AI research and development. This encourages the development of advanced AI solutions specifically for supply chain applications.

  • By Company Type: Tier 1 - 20%, Tier 2 - 35%, and Tier 3 - 45%
  • By Designation: C-level Executives - 15%, Directors -20%, and Others - 65%
  • By Region: North America -20%, Europe - 15%, Asia Pacific- 60%, and RoW - 5%

Players profiled in this report are SAP SE (Germany), Oracle (US), Blue Yonder Group, Inc. (US), Kinaxis Inc. (Canada), Manhattan Associates (US), NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), Intel Corporation (US), Micron Technology, Inc. (US), Qualcomm Technologies, Inc. (US), SAMSUNG (South Korea), IBM (US), Microsoft (US), Amazon Web Services, Inc. (US), Google (US), Anaplan, Inc. (US), Logility Supply Chain Solutions, Inc. (US), Coupa (US), O9 Solutions, Inc. (US), Alibaba Group Holding Limited (China), FedEx Corporation (US), Deutsche Post AG (Germany), ServiceNow (US), Project44 (US), Resilinc Corporation (US), FourKites, Inc. (US), RELEX Solutions (Finland), C.H. Robinson Worldwide, Inc. (US), e2open, LLC (US), FERO.Ai (UAE) among a few other key companies in the AI in supply chain ecosystem.

Report Coverage

The report defines, describes, and forecasts the AI in supply chain market based on offering, deployment, organization size, application, end-use industry, and region. It provides detailed information regarding drivers, restraints, opportunities, and challenges influencing the growth of the AI in supply chain market. It also analyzes competitive developments such as acquisitions, product launches, expansions, and actions carried out by the key players to grow in the market.

Reasons to Buy This Report

The report will help the market leaders/new entrants in the market with information on the closest approximations of the revenue for the overall AI in supply chain market and the subsegments. The report will help stakeholders understand the competitive landscape and gain more insight to position their business better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key drivers, restraints, opportunities, and challenges.

The report will provide insights into the following pointers:

  • Analysis of key drivers (Big data enhance supply chain efficiency through data-driven decision making) restraints (Shortage of skilled workforce)

opportunities (Surge in increasing demand for intelligent business processes and automation), and challenges (Difficulties in data integration from multiple sources) of the AI in supply chain market.

  • Product development /Innovation: Detailed insights on upcoming technologies, research & development activities, and new product launches in the AI in supply chain market.
  • Market Development: Comprehensive information about lucrative markets; the report analyses the AI in supply chain market across various regions.
  • Market Diversification: Exhaustive information about new products launched, untapped geographies, recent developments, and investments in the AI in supply chain market.
  • Competitive Assessment: In-depth assessment of market share, growth strategies, and offering of leading players like SAP SE (Germany), Oracle (US), Blue Yonder Group, Inc. (US), Kinaxis Inc. (Canada), Manhattan Associates (US) among others in the AI in supply chain market.

TABLE OF CONTENTS

1 INTRODUCTION

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

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
      • 2.1.1.1 List of secondary sources
      • 2.1.1.2 Key data from secondary sources
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 List of interview participants
      • 2.1.2.2 Breakdown of primary interviews
      • 2.1.2.3 Key data from primary sources
      • 2.1.2.4 Insights from industry experts
    • 2.1.3 SECONDARY AND PRIMARY RESEARCH
  • 2.2 MARKET SIZE ESTIMATION
    • 2.2.1 BOTTOM-UP APPROACH
      • 2.2.1.1 Approach to estimate market size using bottom-up analysis (supply side)
    • 2.2.2 TOP-DOWN APPROACH
      • 2.2.2.1 Approach to estimate market size using top-down analysis (demand side)
  • 2.3 DATA TRIANGULATION
  • 2.4 RESEARCH ASSUMPTIONS
  • 2.5 RESEARCH LIMITATIONS
  • 2.6 RISK ASSESSMENT

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN SUPPLY CHAIN MARKET
  • 4.2 AI IN SUPPLY CHAIN MARKET, BY OFFERING
  • 4.3 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT
  • 4.4 AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE
  • 4.5 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT AND COUNTRY
  • 4.6 GLOBAL AI IN SUPPLY CHAIN MARKET, BY COUNTRY

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Growing implementation of big data and AI technologies
      • 5.2.1.2 Need for enhanced visibility in supply chain processes
      • 5.2.1.3 Rapid AI integration to improve customer satisfaction
      • 5.2.1.4 Shift toward cloud-based supply chain solutions
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Shortage of skilled workforce
      • 5.2.2.2 Security and data privacy concerns
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Surge in demand for intelligent business processes and automation
      • 5.2.3.2 Improved operational efficiency with AI
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Difficulties in seamless data integration from multiple sources
  • 5.3 VALUE CHAIN ANALYSIS
  • 5.4 ECOSYSTEM ANALYSIS
  • 5.5 TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.6 TECHNOLOGY ANALYSIS
    • 5.6.1 KEY TECHNOLOGIES
      • 5.6.1.1 Machine Learning
      • 5.6.1.2 Natural Language Processing
      • 5.6.1.3 Computer Vision
    • 5.6.2 COMPLEMENTARY TECHNOLOGIES
      • 5.6.2.1 Internet of Things
    • 5.6.3 ADJACENT TECHNOLOGIES
      • 5.6.3.1 Robotic Process Automation
      • 5.6.3.2 Internet of Things
      • 5.6.3.3 Edge Computing
  • 5.7 INVESTMENT AND FUNDING SCENARIO
  • 5.8 PORTER'S FIVE FORCES ANALYSIS
    • 5.8.1 INTENSITY OF COMPETITIVE RIVALRY
    • 5.8.2 BARGAINING POWER OF SUPPLIERS
    • 5.8.3 BARGAINING POWER OF BUYERS
    • 5.8.4 THREAT OF SUBSTITUTES
    • 5.8.5 THREAT OF NEW ENTRANTS
  • 5.9 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • 5.9.2 BUYING CRITERIA
  • 5.10 CASE STUDY ANALYSIS
    • 5.10.1 INTEL CORPORATION BRINGS GRAPHICS PROCESSING UNIT TO VEHICLE COCKPIT
    • 5.10.2 IBM AND NABP DEVELOP BLOCKCHAIN-BASED PLATFORM TO ENHANCE DRUG SUPPLY CHAIN SECURITY
    • 5.10.3 UNIPER SE ENHANCES ENERGY OPERATIONS WITH MICROSOFT COPILOT
    • 5.10.4 NORGREN STREAMLINES SUPPLY CHAIN WITH SAP SE INTEGRATED SOLUTIONS
    • 5.10.5 TERADYNE ENHANCES SUPPLY CHAIN EFFICIENCY WITH C.H. ROBINSON WORLDWIDE'S INTEGRATED LOGISTICS SOLUTIONS
  • 5.11 TRADE ANALYSIS
    • 5.11.1 IMPORT SCENARIO (HS CODE 854231)
    • 5.11.2 EXPORT SCENARIO (HS CODE 854231)
  • 5.12 PATENT ANALYSIS
  • 5.13 KEY CONFERENCES AND EVENTS, 2024-2025
  • 5.14 REGULATORY LANDSCAPE
    • 5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.14.2 REGULATORY STANDARDS
    • 5.14.3 GOVERNMENT REGULATIONS
  • 5.15 PRICING ANALYSIS

6 AI IN SUPPLY CHAIN MARKET, BY OFFERING

  • 6.1 INTRODUCTION
  • 6.2 SOFTWARE
    • 6.2.1 INCLINATION TOWARD SMART AUTOMATION TO DRIVE MARKET
  • 6.3 SERVICES
    • 6.3.1 MANAGED SERVICES
      • 6.3.1.1 Extensive use in supply chain management to drive market
    • 6.3.2 PROFESSIONAL SERVICES
      • 6.3.2.1 Critical role in business innovation to drive market

7 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT

  • 7.1 INTRODUCTION
  • 7.2 CLOUD
    • 7.2.1 GROWING POPULARITY DUE TO SIGNIFICANT ADVANTAGES TO DRIVE MARKET
  • 7.3 ON-PREMISES
    • 7.3.1 COMPLIANCE WITH STRINGENT REGULATORY REQUIREMENTS TO DRIVE MARKET
  • 7.4 HYBRID
    • 7.4.1 NEED FOR CLOUD SCALABILITY AND ON-PREMISES CONTROL TO DRIVE MARKET

8 AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE

  • 8.1 INTRODUCTION
  • 8.2 LARGE ORGANIZATION
    • 8.2.1 RAPID AI INTEGRATION ACROSS GLOBAL SUPPLY CHAIN NETWORKS TO DRIVE MARKET
  • 8.3 SMALL & MEDIUM ORGANIZATION
    • 8.3.1 ADVENT OF SCALABLE AND COST-EFFECTIVE AI SOLUTIONS TO DRIVE MARKET

9 AI IN SUPPLY CHAIN MARKET, BY APPLICATION

  • 9.1 INTRODUCTION
  • 9.2 DEMAND PLANNING & FORECASTING
    • 9.2.1 REAL-TIME DATASET PROCESSING CAPACITY TO DRIVE MARKET
  • 9.3 PROCUREMENT & SOURCING
    • 9.3.1 AUTOMATION OF DATA-DRIVEN DECISION-MAKING TO DRIVE MARKET
  • 9.4 INVENTORY MANAGEMENT
    • 9.4.1 NEED FOR STEADY FLOW OF SUPPLIES AND FINISHED GOODS TO DRIVE MARKET
  • 9.5 PRODUCTION PLANNING & SCHEDULING
    • 9.5.1 ENHANCED SCHEDULING AND INVENTORY MANAGEMENT WITH AI ALGORITHMS TO DRIVE MARKET
  • 9.6 WAREHOUSE & TRANSPORTATION MANAGEMENT
    • 9.6.1 AI-DRIVEN DEMAND FORECASTING AND ROUTE OPTIMIZATION CAPABILITIES TO DRIVE MARKET
  • 9.7 SUPPLY CHAIN RISK MANAGEMENT
    • 9.7.1 ABILITY TO MITIGATE POTENTIAL DISRUPTIONS TO DRIVE MARKET
  • 9.8 OTHER APPLICATIONS

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

  • 10.1 INTRODUCTION
  • 10.2 RETAIL
    • 10.2.1 RAPID ADOPTION OF AI TO ENHANCE CUSTOMER EXPERIENCE TO DRIVE MARKET
  • 10.3 HEALTHCARE & PHARMACEUTICALS
    • 10.3.1 INCREASED FUNDING TO ENHANCE OPERATIONAL EFFICIENCY TO DRIVE MARKET
  • 10.4 FOOD & BEVERAGES
    • 10.4.1 EXTENSIVE USE OF AI IN SUPPLY CHAIN TO PREDICT DEMAND TO DRIVE MARKET
  • 10.5 AUTOMOTIVE
    • 10.5.1 SURGE IN DEMAND FOR ELECTRIC AND AUTONOMOUS VEHICLES TO DRIVE MARKET
  • 10.6 LOGISTICS & TRANSPORTATION
    • 10.6.1 IMPLEMENTATION OF CLOUD-BASED SOLUTIONS TO REDUCE COSTS TO DRIVE MARKET
  • 10.7 AEROSPACE & DEFENSE
    • 10.7.1 GOVERNMENT INITIATIVES TO STRENGTHEN NATIONAL SECURITY TO DRIVE MARKET
  • 10.8 CHEMICALS
    • 10.8.1 NEED FOR PROCESS OPTIMIZATION IN SUPPLY CHAIN TO DRIVE MARKET
  • 10.9 ELECTRONICS & SEMICONDUCTOR
    • 10.9.1 RISE IN TECHNOLOGICAL INNOVATIONS TO DRIVE MARKET
  • 10.10 ENERGY & UTILITIES
    • 10.10.1 NEED FOR EFFICIENT ENERGY UTILIZATION TO DRIVE MARKET
  • 10.11 MANUFACTURING
    • 10.11.1 INCORPORATION OF INTELLIGENT SYSTEMS TO AUTOMATE OPERATIONS TO DRIVE MARKET
  • 10.12 OTHER END-USE INDUSTRIES

11 AI IN SUPPLY CHAIN MARKET, BY REGION

  • 11.1 INTRODUCTION
  • 11.2 NORTH AMERICA
    • 11.2.1 MACROECONOMIC OUTLOOK
    • 11.2.2 US
      • 11.2.2.1 Increasing adoption of technology infrastructure and growth initiatives by US government to drive market
    • 11.2.3 CANADA
      • 11.2.3.1 Rising investments to boost adoption of AI across industries
    • 11.2.4 MEXICO
      • 11.2.4.1 Government initiatives to boost manufacturing capabilities in Mexico
  • 11.3 EUROPE
    • 11.3.1 MACROECONOMIC OUTLOOK
    • 11.3.2 GERMANY
      • 11.3.2.1 Increasing adoption of AI to drive market growth
    • 11.3.3 UK
      • 11.3.3.1 Continuous investments and initiatives by UK government to bolster growth
    • 11.3.4 FRANCE
      • 11.3.4.1 AI initiatives and investments to push French market forward
    • 11.3.5 REST OF EUROPE
  • 11.4 ASIA PACIFIC
    • 11.4.1 MACROECONOMIC OUTLOOK
    • 11.4.2 CHINA
      • 11.4.2.1 Government initiatives and rising investments to drive market growth
    • 11.4.3 JAPAN
      • 11.4.3.1 Growth in investments and government initiatives to drive innovation
    • 11.4.4 SOUTH KOREA
      • 11.4.4.1 Government investments in artificial intelligence to accelerate market growth
    • 11.4.5 INDIA
      • 11.4.5.1 Rapid surge in development and adoption of AI technologies to propel market
    • 11.4.6 REST OF ASIA PACIFIC
  • 11.5 REST OF THE WORLD
    • 11.5.1 MACROECONOMIC OUTLOOK
    • 11.5.2 MIDDLE EAST & AFRICA
      • 11.5.2.1 Commitment to digital transformation and technological innovation to drive growth
      • 11.5.2.2 GCC
      • 11.5.2.3 Rest of Middle East & Africa
    • 11.5.3 SOUTH AMERICA
      • 11.5.3.1 Growing interest of private enterprises to boost market

12 COMPETITIVE LANDSCAPE

  • 12.1 OVERVIEW
  • 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
  • 12.3 REVENUE ANALYSIS, 2019-2023
  • 12.4 MARKET SHARE ANALYSIS, 2023
  • 12.5 COMPANY VALUATION AND FINANCIAL METRICS
  • 12.6 BRAND/PRODUCT COMPARISON
  • 12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    • 12.7.1 STARS
    • 12.7.2 EMERGING LEADERS
    • 12.7.3 PERVASIVE PLAYERS
    • 12.7.4 PARTICIPANTS
    • 12.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
      • 12.7.5.1 Company footprint
      • 12.7.5.2 Offering footprint
      • 12.7.5.3 Deployment footprint
      • 12.7.5.4 Organization size footprint
      • 12.7.5.5 Application footprint
      • 12.7.5.6 End-use industry footprint
      • 12.7.5.7 Region footprint
  • 12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    • 12.8.1 PROGRESSIVE COMPANIES
    • 12.8.2 RESPONSIVE COMPANIES
    • 12.8.3 DYNAMIC COMPANIES
    • 12.8.4 STARTING BLOCKS
    • 12.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
      • 12.8.5.1 Detailed list of key startups/SMEs
      • 12.8.5.2 Competitive benchmarking of key startups/SMEs
        • 12.8.5.2.1 Competitive benchmarking, by offering and region
        • 12.8.5.2.2 Competitive benchmarking, by application and deployment
        • 12.8.5.2.3 Competitive benchmarking, by end-use industry and organization size
  • 12.9 COMPETITIVE SCENARIO
    • 12.9.1 PRODUCT LAUNCHES/DEVELOPMENTS
    • 12.9.2 DEALS

13 COMPANY PROFILES

  • 13.1 KEY PLAYERS
    • 13.1.1 SAP SE
      • 13.1.1.1 Business overview
      • 13.1.1.2 Products/Services/Solutions offered
      • 13.1.1.3 Recent developments
        • 13.1.1.3.1 Deals
      • 13.1.1.4 MnM view
        • 13.1.1.4.1 Key strengths/Right to win
        • 13.1.1.4.2 Strategic choices
        • 13.1.1.4.3 Weaknesses/Competitive threats
    • 13.1.2 ORACLE
      • 13.1.2.1 Business overview
      • 13.1.2.2 Products/Services/Solutions offered
      • 13.1.2.3 Recent developments
        • 13.1.2.3.1 Product launches/developments
        • 13.1.2.3.2 Deals
      • 13.1.2.4 MnM view
        • 13.1.2.4.1 Key strengths/Right to win
        • 13.1.2.4.2 Strategic choices
        • 13.1.2.4.3 Weaknesses/Competitive threats
    • 13.1.3 BLUE YONDER GROUP, INC.
      • 13.1.3.1 Business overview
      • 13.1.3.2 Products/Services/Solutions offered
      • 13.1.3.3 Recent developments
        • 13.1.3.3.1 Deals
      • 13.1.3.4 MnM view
        • 13.1.3.4.1 Key strengths/Right to win
        • 13.1.3.4.2 Strategic choices
        • 13.1.3.4.3 Weaknesses/Competitive threats
    • 13.1.4 KINAXIS INC.
      • 13.1.4.1 Business overview
      • 13.1.4.2 Products/Services/Solutions offered
      • 13.1.4.3 Recent developments
        • 13.1.4.3.1 Product launches/developments
        • 13.1.4.3.2 Deals
      • 13.1.4.4 MnM view
        • 13.1.4.4.1 Key strengths/Right to win
        • 13.1.4.4.2 Strategic choices
        • 13.1.4.4.3 Weaknesses/Competitive threats
    • 13.1.5 MANHATTAN ASSOCIATES
      • 13.1.5.1 Business overview
      • 13.1.5.2 Products/Services/Solutions offered
      • 13.1.5.3 Recent developments
        • 13.1.5.3.1 Product launches/developments
        • 13.1.5.3.2 Deals
      • 13.1.5.4 MnM view
        • 13.1.5.4.1 Key strengths/Right to win
        • 13.1.5.4.2 Strategic choices
        • 13.1.5.4.3 Weaknesses/Competitive threats
    • 13.1.6 NVIDIA CORPORATION
      • 13.1.6.1 Business overview
      • 13.1.6.2 Products/Services/Solutions offered
      • 13.1.6.3 Recent developments
        • 13.1.6.3.1 Product launches/developments
        • 13.1.6.3.2 Deals
    • 13.1.7 ADVANCED MICRO DEVICES, INC.
      • 13.1.7.1 Business overview
      • 13.1.7.2 Products/Services/Solutions offered
      • 13.1.7.3 Recent developments
        • 13.1.7.3.1 Product launches/developments
        • 13.1.7.3.2 Deals
    • 13.1.8 INTEL CORPORATION
      • 13.1.8.1 Business overview
      • 13.1.8.2 Products/Services/Solutions offered
      • 13.1.8.3 Recent developments
        • 13.1.8.3.1 Product launches/developments
    • 13.1.9 MICRON TECHNOLOGY, INC.
      • 13.1.9.1 Business overview
      • 13.1.9.2 Products/Services/Solutions offered
      • 13.1.9.3 Recent developments
        • 13.1.9.3.1 Deals
    • 13.1.10 QUALCOMM TECHNOLOGIES, INC.
      • 13.1.10.1 Business overview
      • 13.1.10.2 Products/Services/Solutions offered
      • 13.1.10.3 Recent developments
        • 13.1.10.3.1 Product launches/developments
        • 13.1.10.3.2 Deals
    • 13.1.11 SAMSUNG
      • 13.1.11.1 Business overview
      • 13.1.11.2 Products/Services/Solutions offered
      • 13.1.11.3 Recent developments
        • 13.1.11.3.1 Product launches/developments
        • 13.1.11.3.2 Deals
    • 13.1.12 IBM
      • 13.1.12.1 Business overview
      • 13.1.12.2 Products/Services/Solutions offered
      • 13.1.12.3 Recent developments
        • 13.1.12.3.1 Deals
    • 13.1.13 MICROSOFT
      • 13.1.13.1 Business overview
      • 13.1.13.2 Products/Services/Solutions offered
      • 13.1.13.3 Recent developments
        • 13.1.13.3.1 Deals
    • 13.1.14 AMAZON WEB SERVICES, INC.
      • 13.1.14.1 Business overview
      • 13.1.14.2 Products/Services/Solutions offered
      • 13.1.14.3 Recent developments
        • 13.1.14.3.1 Product launches/developments
        • 13.1.14.3.2 Deals
    • 13.1.15 GOOGLE
      • 13.1.15.1 Business overview
      • 13.1.15.2 Products/Services/Solutions offered
      • 13.1.15.3 Recent developments
        • 13.1.15.3.1 Product launches/developments
        • 13.1.15.3.2 Deals
    • 13.1.16 ANAPLAN, INC.
      • 13.1.16.1 Business overview
      • 13.1.16.2 Products/Services/Solutions offered
      • 13.1.16.3 Recent developments
        • 13.1.16.3.1 Deals
  • 13.2 OTHER PLAYERS
    • 13.2.1 LOGILITY SUPPLY CHAIN SOLUTIONS, INC.
    • 13.2.2 COUPA
    • 13.2.3 O9 SOLUTIONS, INC.
    • 13.2.4 ALIBABA GROUP HOLDING LIMITED
    • 13.2.5 FEDEX CORPORATION
    • 13.2.6 DEUTSCHE POST AG
    • 13.2.7 SERVICENOW
    • 13.2.8 PROJECT44
    • 13.2.9 RESILINC CORPORATION
    • 13.2.10 FOURKITES, INC.
    • 13.2.11 RELEX SOLUTIONS
    • 13.2.12 C.H. ROBINSON WORLDWIDE, INC.
    • 13.2.13 E2OPEN, LLC
    • 13.2.14 FERO.AI

14 APPENDIX

  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS

List of Tables

  • TABLE 1 ROLE OF COMPANIES IN ECOSYSTEM
  • TABLE 2 INVESTMENT AND FUNDING SCENARIO, 2023-2024 (USD MILLION)
  • TABLE 3 IMPACT OF PORTER'S FIVE FORCES ANALYSIS
  • TABLE 4 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USE INDUSTRIES (%)
  • TABLE 5 KEY BUYING CRITERIA FOR TOP THREE END-USE INDUSTRIES
  • TABLE 6 IMPORT DATA FOR HS CODE 854231, BY COUNTRY, 2019-2023 (USD BILLION)
  • TABLE 7 EXPORT DATA FOR HS CODE 854231, BY COUNTRY, 2019-2023 (USD BILLION)
  • TABLE 8 PATENT ANALYSIS, 2023
  • TABLE 9 KEY CONFERENCES AND EVENTS, 2024-2025
  • TABLE 10 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 REST OF THE WORLD: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 14 INDICATIVE PRICING LEVELS OF AI IN SUPPLY CHAIN MANAGEMENT SOLUTIONS AND SERVICES
  • TABLE 15 AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2020-2023 (USD MILLION)
  • TABLE 16 AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 17 AI SOFTWARE IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2020-2023 (USD MILLION)
  • TABLE 18 AI SOFTWARE IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2024-2030 (USD MILLION)
  • TABLE 19 AI SOFTWARE IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 20 AI SOFTWARE IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 21 AI SERVICES IN SUPPLY CHAIN MARKET, BY TYPE, 2020-2023 (USD MILLION)
  • TABLE 22 AI SERVICES IN SUPPLY CHAIN MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 23 AI SERVICES IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2020-2023 (USD MILLION)
  • TABLE 24 AI SERVICES IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2024-2030 (USD MILLION)
  • TABLE 25 AI SERVICES IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 26 AI SERVICES IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 27 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2020-2023 (USD MILLION)
  • TABLE 28 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2024-2030 (USD MILLION)
  • TABLE 29 CLOUD: AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 30 CLOUD: AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 31 ON-PREMISES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 32 ON-PREMISES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 33 HYBRID: AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 34 HYBRID: AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 35 AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 36 AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 37 AI IN SUPPLY CHAIN MARKET, BY APPLICATION, 2020-2023 (USD MILLION)
  • TABLE 38 AI IN SUPPLY CHAIN MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 39 AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2020-2023 (USD MILLION)
  • TABLE 40 AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2024-2030 (USD MILLION)
  • TABLE 41 RETAIL: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2020-2023 (USD MILLION)
  • TABLE 42 RETAIL: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 43 RETAIL: AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 44 RETAIL: AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 45 HEALTHCARE & PHARMACEUTICALS: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2020-2023 (USD MILLION)
  • TABLE 46 HEALTHCARE & PHARMACEUTICALS: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 47 HEALTHCARE & PHARMACEUTICALS: AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 48 HEALTHCARE & PHARMACEUTICALS: AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 49 FOOD & BEVERAGES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2020-2023 (USD MILLION)
  • TABLE 50 FOOD & BEVERAGES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 51 FOOD & BEVERAGES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 52 FOOD & BEVERAGES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 53 AUTOMOTIVE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2020-2023 (USD MILLION)
  • TABLE 54 AUTOMOTIVE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 55 AUTOMOTIVE: AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 56 AUTOMOTIVE: AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 57 LOGISTICS & TRANSPORTATION: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2020-2023 (USD MILLION)
  • TABLE 58 LOGISTICS & TRANSPORTATION: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 59 LOGISTICS & TRANSPORTATION: AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 60 LOGISTICS & TRANSPORTATION: AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 61 AEROSPACE & DEFENSE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2020-2023 (USD MILLION)
  • TABLE 62 AEROSPACE & DEFENSE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 63 AEROSPACE & DEFENSE: AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 64 AEROSPACE & DEFENSE: AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 65 CHEMICALS: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2020-2023 (USD MILLION)
  • TABLE 66 CHEMICALS: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 67 CHEMICALS: AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 68 CHEMICALS: AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 69 ELECTRONICS & SEMICONDUCTOR: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2020-2023 (USD MILLION)
  • TABLE 70 ELECTRONICS & SEMICONDUCTOR: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 71 ELECTRONICS & SEMICONDUCTOR: AI IN SUPPLY CHAIN MARKET, BY TYPE, 2020-2023 (USD MILLION)
  • TABLE 72 ELECTRONICS & SEMICONDUCTOR: AI IN SUPPLY CHAIN MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 73 ELECTRONICS & SEMICONDUCTOR: AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 74 ELECTRONICS & SEMICONDUCTOR: AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 75 ENERGY & UTILITIES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2020-2023 (USD MILLION)
  • TABLE 76 ENERGY & UTILITIES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 77 ENERGY & UTILITIES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 78 ENERGY & UTILITIES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 79 MANUFACTURING: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2020-2023 (USD MILLION)
  • TABLE 80 MANUFACTURING: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 81 MANUFACTURING: AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 82 MANUFACTURING: AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 83 OTHER END-USE INDUSTRIES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2020-2023 (USD MILLION)
  • TABLE 84 OTHER END-USE INDUSTRIES: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 85 OTHER END-USE INDUSTRIES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 86 OTHER END-USE INDUSTRIES: AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 87 AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 88 AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 89 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2020-2023 (USD MILLION)
  • TABLE 90 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 91 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2020-2023 (USD MILLION)
  • TABLE 92 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2024-2030 (USD MILLION)
  • TABLE 93 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 94 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 95 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2020-2023 (USD MILLION)
  • TABLE 96 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2024-2030 (USD MILLION)
  • TABLE 97 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2020-2023 (USD MILLION)
  • TABLE 98 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 99 US: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 100 US: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 101 CANADA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 102 CANADA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 103 MEXICO: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 104 MEXICO: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 105 EUROPE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2020-2023 (USD MILLION)
  • TABLE 106 EUROPE: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 107 EUROPE: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2020-2023 (USD MILLION)
  • TABLE 108 EUROPE: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2024-2030 (USD MILLION)
  • TABLE 109 EUROPE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 110 EUROPE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 111 EUROPE: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2020-2023 (USD MILLION)
  • TABLE 112 EUROPE: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2024-2030 (USD MILLION)
  • TABLE 113 EUROPE: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2020-2023 (USD MILLION)
  • TABLE 114 EUROPE: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 115 GERMANY: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 116 GERMANY: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 117 UK: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 118 UK: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 119 FRANCE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 120 FRANCE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 121 REST OF EUROPE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 122 REST OF EUROPE: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 123 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2020-2023 (USD MILLION)
  • TABLE 124 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 125 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2020-2023 (USD MILLION)
  • TABLE 126 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2024-2030 (USD MILLION)
  • TABLE 127 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 128 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 129 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2020-2023 (USD MILLION)
  • TABLE 130 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2024-2030 (USD MILLION)
  • TABLE 131 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2020-2023 (USD MILLION)
  • TABLE 132 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 133 CHINA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 134 CHINA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 135 JAPAN: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 136 JAPAN: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 137 SOUTH KOREA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 138 SOUTH KOREA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 139 INDIA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 140 INDIA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 141 REST OF ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 142 REST OF ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 143 ROW: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2020-2023 (USD MILLION)
  • TABLE 144 ROW: AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 145 ROW: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2020-2023 (USD MILLION)
  • TABLE 146 ROW: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2024-2030 (USD MILLION)
  • TABLE 147 ROW: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 148 ROW: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 149 ROW: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2020-2023 (USD MILLION)
  • TABLE 150 ROW: AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2024-2030 (USD MILLION)
  • TABLE 151 ROW: AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 152 ROW: AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 153 MIDDLE EAST & AFRICA: AI IN SUPPLY CHAIN MARKET, BY REGION, 2020-2023 (USD MILLION)
  • TABLE 154 MIDDLE EAST & AFRICA: AI IN SUPPLY CHAIN MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 155 MIDDLE EAST & AFRICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 156 MIDDLE EAST & AFRICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 157 GCC: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 158 GCC: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 159 REST OF MIDDLE EAST & AFRICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 160 REST OF MIDDLE EAST & AFRICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 161 SOUTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
  • TABLE 162 SOUTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • TABLE 163 KEY PLAYER STRATEGIES/RIGHT TO WIN, FEBRUARY 2022-SEPTEMBER 2024
  • TABLE 164 AI IN SUPPLY CHAIN MARKET: DEGREE OF COMPETITION, 2023
  • TABLE 165 AI IN SUPPLY CHAIN MARKET: OFFERING FOOTPRINT
  • TABLE 166 AI IN SUPPLY CHAIN MARKET: DEPLOYMENT FOOTPRINT
  • TABLE 167 AI IN SUPPLY CHAIN MARKET: ORGANIZATION SIZE FOOTPRINT
  • TABLE 168 AI IN SUPPLY CHAIN MARKET: APPLICATION FOOTPRINT
  • TABLE 169 AI IN SUPPLY CHAIN MARKET: END-USE INDUSTRY FOOTPRINT
  • TABLE 170 AI IN SUPPLY CHAIN MARKET: REGION FOOTPRINT
  • TABLE 171 AI IN SUPPLY CHAIN MARKET: DETAILED LIST OF KEY STARTUPS/SMES
  • TABLE 172 AI IN SUPPLY CHAIN MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES, BY OFFERING AND REGION
  • TABLE 173 AI IN SUPPLY CHAIN MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES, BY APPLICATION AND DEPLOYMENT
  • TABLE 174 AI IN SUPPLY CHAIN MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES, BY END-USE INDUSTRY AND ORGANIZATION SIZE
  • TABLE 175 AI IN SUPPLY CHAIN MARKET: PRODUCT LAUNCHES/DEVELOPMENTS, FEBRUARY 2022-SEPTEMBER 2024
  • TABLE 176 AI IN SUPPLY CHAIN MARKET: DEALS, FEBRUARY 2022-SEPTEMBER 2024
  • TABLE 177 SAP SE: COMPANY OVERVIEW
  • TABLE 178 SAP SE: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 179 SAP SE: DEALS
  • TABLE 180 ORACLE: COMPANY OVERVIEW
  • TABLE 181 ORACLE: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 182 ORACLE: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 183 ORACLE: DEALS
  • TABLE 184 BLUE YONDER GROUP, INC.: COMPANY OVERVIEW
  • TABLE 185 BLUE YONDER GROUP, INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 186 BLUE YONDER GROUP, INC.: DEALS
  • TABLE 187 KINAXIS INC.: COMPANY OVERVIEW
  • TABLE 188 KINAXIS INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 189 KINAXIS INC.: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 190 KINAXIS INC.: DEALS
  • TABLE 191 MANHATTAN ASSOCIATES: COMPANY OVERVIEW
  • TABLE 192 MANHATTAN ASSOCIATES: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 193 MANHATTAN ASSOCIATES: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 194 MANHATTAN ASSOCIATES: DEALS
  • TABLE 195 NVIDIA CORPORATION: COMPANY OVERVIEW
  • TABLE 196 NVIDIA CORPORATION: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 197 NVIDIA CORPORATION: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 198 NVIDIA CORPORATION: DEALS
  • TABLE 199 ADVANCED MICRO DEVICES, INC.: COMPANY OVERVIEW
  • TABLE 200 ADVANCED MICRO DEVICES, INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 201 ADVANCED MICRO DEVICES, INC.: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 202 ADVANCED MICRO DEVICES, INC.: DEALS
  • TABLE 203 INTEL CORPORATION: COMPANY OVERVIEW
  • TABLE 204 INTEL CORPORATION: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 205 INTEL CORPORATION: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 206 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW
  • TABLE 207 MICRON TECHNOLOGY, INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 208 MICRON TECHNOLOGY, INC.: DEALS
  • TABLE 209 QUALCOMM TECHNOLOGIES, INC.: COMPANY OVERVIEW
  • TABLE 210 QUALCOMM TECHNOLOGIES, INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 211 QUALCOMM TECHNOLOGIES, INC.: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 212 QUALCOMM TECHNOLOGIES, INC.: DEALS
  • TABLE 213 SAMSUNG: COMPANY OVERVIEW
  • TABLE 214 SAMSUNG: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 215 SAMSUNG: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 216 SAMSUNG: DEALS
  • TABLE 217 IBM: COMPANY OVERVIEW
  • TABLE 218 IBM: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 219 IBM: DEALS
  • TABLE 220 MICROSOFT: COMPANY OVERVIEW
  • TABLE 221 MICROSOFT: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 222 MICROSOFT: DEALS
  • TABLE 223 AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW
  • TABLE 224 AMAZON WEB SERVICES, INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 225 AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 226 AMAZON WEB SERVICES, INC.: DEALS
  • TABLE 227 GOOGLE: COMPANY OVERVIEW
  • TABLE 228 GOOGLE: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 229 GOOGLE: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 230 GOOGLE: DEALS
  • TABLE 231 ANAPLAN, INC.: COMPANY OVERVIEW
  • TABLE 232 ANAPLAN, INC.: PRODUCTS/SERVICES/SOLUTIONS OFFERED
  • TABLE 233 ANAPLAN, INC.: DEALS
  • TABLE 234 LOGILITY SUPPLY CHAIN SOLUTIONS, INC.: COMPANY OVERVIEW
  • TABLE 235 COUPA: COMPANY OVERVIEW
  • TABLE 236 O9 SOLUTIONS, INC.: COMPANY OVERVIEW
  • TABLE 237 ALIBABA GROUP HOLDING LIMITED: COMPANY OVERVIEW
  • TABLE 238 FEDEX CORPORATION: COMPANY OVERVIEW
  • TABLE 239 DEUTSCHE POST AG: COMPANY OVERVIEW
  • TABLE 240 SERVICENOW: COMPANY OVERVIEW
  • TABLE 241 PROJECT44: COMPANY OVERVIEW
  • TABLE 242 RESILINC CORPORATION: COMPANY OVERVIEW
  • TABLE 243 FOURKITES, INC.: COMPANY OVERVIEW
  • TABLE 244 RELEX SOLUTIONS: COMPANY OVERVIEW
  • TABLE 245 C.H. ROBINSON WORLDWIDE, INC.: COMPANY OVERVIEW
  • TABLE 246 E2OPEN, LLC: COMPANY OVERVIEW
  • TABLE 247 FERO.AI: COMPANY OVERVIEW

List of Figures

  • FIGURE 1 AI IN SUPPLY CHAIN MARKET SEGMENTATION AND REGIONAL SCOPE
  • FIGURE 2 RESEARCH DESIGN
  • FIGURE 3 RESEARCH FLOW
  • FIGURE 4 BOTTOM-UP APPROACH
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY (SUPPLY SIDE): REVENUE GENERATED BY AI IN SUPPLY CHAIN MANUFACTURERS
  • FIGURE 6 TOP-DOWN APPROACH
  • FIGURE 7 DATA TRIANGULATION
  • FIGURE 8 CLOUD SEGMENT TO ACCOUNT FOR LARGEST SHARE IN 2024
  • FIGURE 9 SERVICES SEGMENT TO EXHIBIT FASTEST GROWTH DURING FORECAST PERIOD
  • FIGURE 10 LARGE ORGANIZATION SEGMENT TO BE DOMINANT DURING FORECAST PERIOD
  • FIGURE 11 DEMAND PLANNING & FORECASTING SEGMENT TO BE PREVALENT DURING FORECAST PERIOD
  • FIGURE 12 AUTOMOTIVE SEGMENT TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 13 NORTH AMERICA TO BE LARGEST MARKET DURING FORECAST PERIOD
  • FIGURE 14 RISING ADOPTION OF AI IN RETAIL SUPPLY CHAIN TO DRIVE MARKET DURING FORECAST PERIOD
  • FIGURE 15 SOFTWARE SEGMENT TO BE DOMINANT DURING FORECAST PERIOD
  • FIGURE 16 CLOUD SEGMENT TO SURPASS OTHER SEGMENTS IN TERMS OF GROWTH DURING FORECAST PERIOD
  • FIGURE 17 LARGE ORGANIZATION SEGMENT TO ACCOUNT FOR LARGER SHARE THAN SMALL & MEDIUM ORGANIZATION SEGMENT DURING FORECAST PERIOD
  • FIGURE 18 CLOUD SEGMENT AND US TO BE MAJOR STAKEHOLDERS IN 2023
  • FIGURE 19 INDIA TO BE FASTEST-GROWING MARKET DURING FORECAST PERIOD
  • FIGURE 20 AI IN SUPPLY CHAIN MARKET DYNAMICS
  • FIGURE 21 IMPACT OF DRIVERS ON AI IN SUPPLY CHAIN MARKET
  • FIGURE 22 IMPACT OF RESTRAINTS ON AI IN SUPPLY CHAIN MARKET
  • FIGURE 23 IMPACT OF OPPORTUNITIES ON AI IN SUPPLY CHAIN MARKET
  • FIGURE 24 IMPACT OF CHALLENGES ON AI IN SUPPLY CHAIN MARKET
  • FIGURE 25 VALUE CHAIN ANALYSIS
  • FIGURE 26 ECOSYSTEM ANALYSIS
  • FIGURE 27 TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 28 INVESTMENT AND FUNDING SCENARIO, 2023-2024 (USD MILLION)
  • FIGURE 29 PORTER'S FIVE FORCES ANALYSIS
  • FIGURE 30 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USE INDUSTRIES
  • FIGURE 31 KEY BUYING CRITERIA FOR TOP THREE END-USE INDUSTRIES
  • FIGURE 32 IMPORT DATA FOR HS CODE 854231, BY COUNTRY, 2019-2023 (USD BILLION)
  • FIGURE 33 EXPORT DATA FOR HS CODE 854231, BY COUNTRY, 2019-2023 (USD BILLION)
  • FIGURE 34 PATENT ANALYSIS, 2013-2023
  • FIGURE 35 AI IN SUPPLY CHAIN MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • FIGURE 36 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT, 2024-2030 (USD MILLION)
  • FIGURE 37 AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
  • FIGURE 38 AI IN SUPPLY CHAIN MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
  • FIGURE 39 AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY, 2024-2030 (USD MILLION)
  • FIGURE 40 SOFTWARE SEGMENT TO LEAD AI IN SUPPLY CHAIN MARKET FOR AUTOMOTIVE INDUSTRY
  • FIGURE 41 NORTH AMERICA TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 42 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET SNAPSHOT
  • FIGURE 43 US TO LEAD AI IN SUPPLY CHAIN MARKET IN NORTH AMERICA DURING FORECAST PERIOD
  • FIGURE 44 EUROPE: AI IN SUPPLY CHAIN MARKET SNAPSHOT
  • FIGURE 45 GERMANY TO LEAD AI IN SUPPLY CHAIN MARKET IN EUROPE DURING FORECAST PERIOD
  • FIGURE 46 ASIA PACIFIC: AI IN SUPPLY CHAIN MARKET SNAPSHOT
  • FIGURE 47 CHINA TO LEAD AI IN SUPPLY CHAIN MARKET IN ASIA PACIFIC DURING FORECAST PERIOD
  • FIGURE 48 MIDDLE EAST & AFRICA TO LEAD AI IN SUPPLY CHAIN MARKET IN ROW DURING FORECAST PERIOD
  • FIGURE 49 AI IN SUPPLY CHAIN MARKET: REVENUE ANALYSIS OF KEY PLAYERS, 2019-2023 (USD BILLION)
  • FIGURE 50 MARKET SHARE ANALYSIS OF KEY PLAYERS, 2023
  • FIGURE 51 COMPANY VALUATION, 2024
  • FIGURE 52 EV/EBITDA, 2024
  • FIGURE 53 BRAND/PRODUCT COMPARISON
  • FIGURE 54 AI IN SUPPLY CHAIN MARKET: COMPANY EVALUATION MATRIX (KEY COMPANIES), 2023
  • FIGURE 55 AI IN SUPPLY CHAIN MARKET: COMPANY FOOTPRINT
  • FIGURE 56 AI IN SUPPLY CHAIN MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
  • FIGURE 57 SAP SE: COMPANY SNAPSHOT
  • FIGURE 58 ORACLE: COMPANY SNAPSHOT
  • FIGURE 59 KINAXIS INC.: COMPANY SNAPSHOT
  • FIGURE 60 MANHATTAN ASSOCIATES: COMPANY SNAPSHOT
  • FIGURE 61 NVIDIA CORPORATION: COMPANY SNAPSHOT
  • FIGURE 62 ADVANCED MICRO DEVICES, INC.: COMPANY SNAPSHOT
  • FIGURE 63 INTEL CORPORATION: COMPANY SNAPSHOT
  • FIGURE 64 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
  • FIGURE 65 QUALCOMM TECHNOLOGIES, INC.: COMPANY SNAPSHOT
  • FIGURE 66 SAMSUNG: COMPANY SNAPSHOT
  • FIGURE 67 IBM: COMPANY SNAPSHOT
  • FIGURE 68 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 69 AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
  • FIGURE 70 GOOGLE: COMPANY SNAPSHOT