查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1760170

2025年供应链管理中的机器学习全球市场报告

Machine Learning in Supply Chain Management Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10个工作天内

价格
简介目录

预计未来几年，供应链管理中的机器学习市场规模将呈指数级增长。到 2029 年，它将以 23.9% 的年复合成长率（CAGR）增长到 243.9 亿美元。预测期内的成长可以归因于数位转型的采用、市场波动性加剧、对永续性的重视、电子商务的扩张、数据主导决策的增加以及对物流自动化和数据主导策略的日益增长的需求。预测期内的主要趋势包括改进的库存管理解决方案、即时供应链视觉性、透过 AI 洞察进行风险管理、云端基础的供应链解决方案以实现更好的协作，以及用于优化仓库业务的 AI主导解决方案。

物流自动化的兴起将推动未来几年供应链管理市场中机器学习的扩张。物流自动化是指利用机器人、人工智慧和软体系统等技术，在尽量减少人工干预的情况下，简化和优化供应链流程。自动化的成长源自于人们能够利用技术来提高效率、降低成本、扩大营运扩充性并提升客户满意度，从而满足日益增长的电子商务需求。机器学习在供应链管理中发挥关键作用，它能够实现预测分析、需求预测和即时决策。此外，它还透过路线优化、仓库机器人和智慧库存管理等工具支援物流自动化。例如，总部位于德国的行业协会国际机器人联合会 (IFR) 在 2024 年 9 月报告称，到 2023 年，全球工厂中运作的机器人数量将达到 4,281,585 台，比 2022 年的 3,904,000 台增长 10%。这推动了物流自动化程度的提高，从而促进了供应链管理市场中机器学习的成长。

供应链管理市场机器学习的主要企业正专注于开发先进的技术解决方案，例如用于供应链管理的人工智慧助手，以优化决策、改善业务和提高整体效率。供应链管理人工智慧助理是一种智慧软体工具，它使用人工智慧来自动化和优化供应链功能，例如预测、库存管理和物流计划。例如，2024 年 2 月，美国数位供应链解决方案供应商 One Network Enterprises 推出了 NEO Assistant，这是一款专为供应链管理设计的创新人工智慧工具。该平台结合了人工智慧和机器学习 (ML) 技术，提供即时监控、智慧处方笺和互动式视觉化。透过将人工智慧主导的洞察力与基于机器学习的预测分析相结合，NEO Assistant 提高了复杂物流网路的决策和业务效率。 NEO Assistant 为使用者提供可行的提案和简化的解决问题的能力，使其在管理动态供应链环境中非常有效。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场 - 宏观经济情景，包括利率、通膨、地缘政治、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球供应链管理中的机器学习 PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 最终用途产业分析
  • 全球供应链管理机器学习市场：成长率分析
  • 全球供应链管理机器学习市场表现：规模与成长，2019-2024
  • 全球供应链管理机器学习市场预测：规模与成长，2024-2029 年，2034 年
  • 全球供应链管理中的机器学习总目标市场（TAM）

第六章市场区隔

  • 全球供应链管理机器学习市场：依组成部分、实际及预测，2019-2024 年、2024-2029 年、2034 年
  • 软体
  • 服务
  • 全球供应链管理机器学习市场（依技术、绩效与预测），2019-2024 年、2024-2029 年、2034 年
  • 人工智慧
  • 深度学习
  • 自然语言处理
  • 预测分析
  • 全球供应链管理机器学习市场（按部署模式、效能和预测），2019-2024 年、2024-2029 年、2034 年
  • 云端基础
  • 本地
  • 全球供应链管理机器学习市场：应用、绩效及预测（2019-2024 年、2024-2029 年及 2034 年）
  • 需求预测
  • 库存管理
  • 供应商选择
  • 物流最佳化
  • 风险管理
  • 全球供应链管理机器学习市场：按最终用户、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 零售与电子商务
  • 製造业
  • 卫生保健
  • 车
  • 食品/饮料
  • 消费品
  • 其他最终用户
  • 全球供应链管理机器学习市场细分（按软体类型、实际情况和预测），2019-2024 年、2024-2029 年、2034 年
  • 需求预测软体
  • 仓库管理软体（WMS）
  • 运输管理系统（TMS）
  • 库存优化软体
  • 采购与寻源分析工具
  • 供应链规划软体
  • 风险管理与合规软体
  • 全球供应链管理机器学习市场，按服务类型、绩效和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 託管服务
  • 专业服务
  • 咨询服务
  • 培训和支援服务

第七章 区域和国家分析

  • 全球供应链管理机器学习市场：按地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 全球供应链管理机器学习市场：依国家/地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章竞争格局与公司概况

  • 供应链管理市场中的机器学习：竞争格局
  • 供应链管理市场中的机器学习：公司简介
    • Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Deutsche Post AG Overview, Products and Services, Strategy and Financial Analysis
    • FedEx Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Maersk A/S Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型创新企业

  • Siemens AG
  • International Business Machines Corporation
  • Oracle Corporation
  • SAP SE
  • Ferguson Enterprises LLC
  • Zoetop Business Co. Ltd.
  • H&M Hennes & Mauritz AB
  • JC Penney Corporation Inc.
  • ALTANA AG
  • Koch Industries Inc.
  • Industria de Diseno Textil SA
  • FourKites Inc.
  • Noodle.ai Inc.
  • Lokad SAS
  • Garvis Inc.

第 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

  • 2029年供应链管理市场中的机器学习：提供新机会的国家
  • 2029年供应链管理市场中的机器学习：提供新机会的市场
  • 2029年供应链管理市场中的机器学习：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第36章 附录

简介目录
Product Code: r35194

Machine learning in supply chain management refers to the application of advanced algorithms and artificial intelligence (AI) techniques to analyze large volumes of data, predict outcomes, and make informed decisions across various aspects of the supply chain. By leveraging data-driven insights and automation, machine learning transforms traditional supply chain operations, improving efficiency, reducing costs, and enhancing customer satisfaction.

The main components of machine learning in supply chain management include software and services. The software refers to a suite of digital tools and platforms that utilize machine learning algorithms to enhance various supply chain functions. These tools incorporate technologies such as artificial intelligence, deep learning, natural language processing, and predictive analytics, and can be deployed in both cloud-based and on-premises environments. Applications of machine learning in supply chain management include demand forecasting, inventory management, supplier selection, logistics optimization, and risk management. These solutions cater to end users across various industries, including retail and e-commerce, manufacturing, healthcare, automotive, food and beverage, consumer goods, and more.

The machine learning in supply chain management market research report is one of a series of new reports from The Business Research Company that provides machine learning in supply chain management market statistics, including machine learning in supply chain management industry global market size, regional shares, competitors with a machine learning in supply chain management market share, detailed machine learning in supply chain management market segments, market trends and opportunities, and any further data you may need to thrive in the machine learning in supply chain management industry. This machine learning in supply chain management market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The machine learning in supply chain management market size has grown exponentially in recent years. It will grow from$8.32 billion in 2024 to $10.34 billion in 2025 at a compound annual growth rate (CAGR) of 24.2%. The growth during the historical period can be attributed to enhanced operational efficiency, the rising demand for predictive analytics, increased automation in logistics, the surge in data-driven decision-making, and improved accuracy in demand forecasting.

The machine learning in supply chain management market size is expected to see exponential growth in the next few years. It will grow to$24.39 billion in 2029 at a compound annual growth rate (CAGR) of 23.9%. The growth during the forecast period can be attributed to the adoption of digital transformation, greater market volatility, a focus on sustainability, the expansion of e-commerce, the rise in data-driven decision-making, and the growing need for automation and data-driven strategies in logistics. Key trends in the forecast period include improved inventory management solutions, real-time supply chain visibility, risk management through AI insights, cloud-based supply chain solutions for better collaboration, and AI-driven solutions for optimizing warehouse operations.

The rising automation in logistics is set to drive the expansion of the machine learning in supply chain management market in the coming years. Logistics automation refers to the use of technologies such as robotics, AI, and software systems to streamline and optimize supply chain processes with minimal human involvement. This growth in automation is driven by its ability to improve efficiency, lower costs, and meet the increasing demand for e-commerce by utilizing technology to boost operational scalability and customer satisfaction. Machine learning plays a crucial role in supply chain management by enabling predictive analytics, demand forecasting, and real-time decision-making. It also supports logistics automation with tools such as route optimization, warehouse robotics, and intelligent inventory control. For example, in September 2024, the International Federation of Robotics (IFR), a Germany-based industry association, reported that the number of robots operating in factories worldwide reached 4,281,585 units in 2023, a 10% increase from the 3,904,000 units recorded in 2022. As a result, the rise in logistics automation is contributing to the growth of the machine learning in supply chain management market.

Leading companies in the machine learning in supply chain management market are focusing on developing advanced technological solutions, such as AI-powered assistants for supply chain management, to optimize decision-making, improve operations, and boost overall efficiency. An AI assistant for supply chain management is an intelligent software tool that uses artificial intelligence to automate and optimize supply chain functions such as forecasting, inventory management, and logistics planning. For instance, in February 2024, One Network Enterprises, a US-based provider of digital supply chain solutions, introduced NEO Assistant, an innovative AI tool designed for supply chain management. This platform combines both AI and machine learning (ML) technologies to offer real-time monitoring, smart prescriptions, and interactive visualizations. By merging AI-driven insights with ML-based predictive analytics, NEO Assistant enhances decision-making and operational efficiency across complex logistics networks. It provides users with actionable recommendations and simplified problem-solving capabilities, making it highly effective for managing dynamic supply chain environments.

In September 2023, Logility, a US-based software company, acquired Garvis for an undisclosed amount. With this acquisition, Logility aims to bolster its supply chain planning capabilities by integrating Garvis' AI-driven demand forecasting technology, utilizing generative AI and machine learning to enhance forecast accuracy and streamline supply chain operations. Garvis, a Belgium-based SaaS company, specializes in AI-driven demand forecasting and machine learning-powered supply chain solutions.

Major players in the machine learning in supply chain management market are Amazon.com Inc., Microsoft Corporation, Deutsche Post AG, FedEx Corporation, Maersk A/S, Siemens AG, International Business Machines Corporation, Oracle Corporation, SAP SE, Ferguson Enterprises LLC, Zoetop Business Co. Ltd., H&M Hennes & Mauritz AB, J. C. Penney Corporation Inc., ALTANA AG, Koch Industries Inc., Industria de Diseno Textil S.A., FourKites Inc., Noodle.ai Inc., Lokad SAS, Garvis Inc., and Logility Inc.

North America was the largest region in the machine learning in supply chain management market in 2024. The regions covered in machine learning in supply chain management report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the machine learning in supply chain management market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The machine learning in supply chain management market consists of revenues earned by entities by providing services such as demand forecasting, inventory optimization, supply chain risk management, intelligent procurement, and predictive maintenance. The market value includes the value of related goods sold by the service provider or included within the service offering. The machine learning in supply chain management market also includes sales of software solutions, AI-powered platforms, supply chain control towers, and data analytics tools. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Machine Learning in Supply Chain Management Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on machine learning in supply chain management market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
  • Assess the impact of key macro factors such as conflict, pandemic and recovery, inflation and interest rate environment and the 2nd Trump presidency.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for machine learning in supply chain management ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The machine learning in supply chain management market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Software; Services
  • 2) By Technology: Artificial Intelligence; Deep Learning; Natural Language Processing; Predictive Analytics
  • 3) By Deployment Mode: Cloud-Based; On-Premises
  • 4) By Application: Demand Forecasting; Inventory Management; Supplier Selection; Logistics Optimization; Risk Management
  • 5) By End-User: Retail And E-Commerce; Manufacturing; Healthcare; Automotive; Food And Beverage; Consumer Goods; Other End-Users
  • Subsegments:
  • 1) By Software: Demand Forecasting Software; Warehouse Management Software (WMS); Transportation Management Systems (TMS); Inventory Optimization Software; Procurement And Sourcing Analytics Tools; Supply Chain Planning Software; Risk Management And Compliance Software
  • 2) By Services: Managed Services; Professional Services; Consulting Services; Training And Support Services
  • Companies Mentioned: Amazon.com Inc.; Microsoft Corporation; Deutsche Post AG; FedEx Corporation; Maersk A/S
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Machine Learning In Supply Chain Management Market Characteristics

3. Machine Learning In Supply Chain Management Market Trends And Strategies

4. Machine Learning In Supply Chain Management Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Machine Learning In Supply Chain Management Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Machine Learning In Supply Chain Management PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Machine Learning In Supply Chain Management Market Growth Rate Analysis
  • 5.4. Global Machine Learning In Supply Chain Management Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Machine Learning In Supply Chain Management Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Machine Learning In Supply Chain Management Total Addressable Market (TAM)

6. Machine Learning In Supply Chain Management Market Segmentation

  • 6.1. Global Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Services
  • 6.2. Global Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Artificial Intelligence
  • Deep Learning
  • Natural Language Processing
  • Predictive Analytics
  • 6.3. Global Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud-Based
  • On-Premises
  • 6.4. Global Machine Learning In Supply Chain Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Demand Forecasting
  • Inventory Management
  • Supplier Selection
  • Logistics Optimization
  • Risk Management
  • 6.5. Global Machine Learning In Supply Chain Management Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Retail And E-Commerce
  • Manufacturing
  • Healthcare
  • Automotive
  • Food And Beverage
  • Consumer Goods
  • Other End-Users
  • 6.6. Global Machine Learning In Supply Chain Management Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Demand Forecasting Software
  • Warehouse Management Software (WMS)
  • Transportation Management Systems (TMS)
  • Inventory Optimization Software
  • Procurement And Sourcing Analytics Tools
  • Supply Chain Planning Software
  • Risk Management And Compliance Software
  • 6.7. Global Machine Learning In Supply Chain Management Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Managed Services
  • Professional Services
  • Consulting Services
  • Training And Support Services

7. Machine Learning In Supply Chain Management Market Regional And Country Analysis

  • 7.1. Global Machine Learning In Supply Chain Management Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Machine Learning In Supply Chain Management Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Machine Learning In Supply Chain Management Market

  • 8.1. Asia-Pacific Machine Learning In Supply Chain Management Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Machine Learning In Supply Chain Management Market

  • 9.1. China Machine Learning In Supply Chain Management Market Overview
  • 9.2. China Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Machine Learning In Supply Chain Management Market

  • 10.1. India Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Machine Learning In Supply Chain Management Market

  • 11.1. Japan Machine Learning In Supply Chain Management Market Overview
  • 11.2. Japan Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Machine Learning In Supply Chain Management Market

  • 12.1. Australia Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Machine Learning In Supply Chain Management Market

  • 13.1. Indonesia Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Machine Learning In Supply Chain Management Market

  • 14.1. South Korea Machine Learning In Supply Chain Management Market Overview
  • 14.2. South Korea Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Machine Learning In Supply Chain Management Market

  • 15.1. Western Europe Machine Learning In Supply Chain Management Market Overview
  • 15.2. Western Europe Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Machine Learning In Supply Chain Management Market

  • 16.1. UK Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Machine Learning In Supply Chain Management Market

  • 17.1. Germany Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Machine Learning In Supply Chain Management Market

  • 18.1. France Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Machine Learning In Supply Chain Management Market

  • 19.1. Italy Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Machine Learning In Supply Chain Management Market

  • 20.1. Spain Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Machine Learning In Supply Chain Management Market

  • 21.1. Eastern Europe Machine Learning In Supply Chain Management Market Overview
  • 21.2. Eastern Europe Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Machine Learning In Supply Chain Management Market

  • 22.1. Russia Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Machine Learning In Supply Chain Management Market

  • 23.1. North America Machine Learning In Supply Chain Management Market Overview
  • 23.2. North America Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Machine Learning In Supply Chain Management Market

  • 24.1. USA Machine Learning In Supply Chain Management Market Overview
  • 24.2. USA Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Machine Learning In Supply Chain Management Market

  • 25.1. Canada Machine Learning In Supply Chain Management Market Overview
  • 25.2. Canada Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Machine Learning In Supply Chain Management Market

  • 26.1. South America Machine Learning In Supply Chain Management Market Overview
  • 26.2. South America Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Machine Learning In Supply Chain Management Market

  • 27.1. Brazil Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Machine Learning In Supply Chain Management Market

  • 28.1. Middle East Machine Learning In Supply Chain Management Market Overview
  • 28.2. Middle East Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Machine Learning In Supply Chain Management Market

  • 29.1. Africa Machine Learning In Supply Chain Management Market Overview
  • 29.2. Africa Machine Learning In Supply Chain Management Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Machine Learning In Supply Chain Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Machine Learning In Supply Chain Management Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Machine Learning In Supply Chain Management Market Competitive Landscape And Company Profiles

  • 30.1. Machine Learning In Supply Chain Management Market Competitive Landscape
  • 30.2. Machine Learning In Supply Chain Management Market Company Profiles
    • 30.2.1. Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Deutsche Post AG Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. FedEx Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Maersk A/S Overview, Products and Services, Strategy and Financial Analysis

31. Machine Learning In Supply Chain Management Market Other Major And Innovative Companies

  • 31.1. Siemens AG
  • 31.2. International Business Machines Corporation
  • 31.3. Oracle Corporation
  • 31.4. SAP SE
  • 31.5. Ferguson Enterprises LLC
  • 31.6. Zoetop Business Co. Ltd.
  • 31.7. H&M Hennes & Mauritz AB
  • 31.8. J. C. Penney Corporation Inc.
  • 31.9. ALTANA AG
  • 31.10. Koch Industries Inc.
  • 31.11. Industria de Diseno Textil S.A.
  • 31.12. FourKites Inc.
  • 31.13. Noodle.ai Inc.
  • 31.14. Lokad SAS
  • 31.15. Garvis Inc.

32. Global Machine Learning In Supply Chain Management Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Machine Learning In Supply Chain Management Market

34. Recent Developments In The Machine Learning In Supply Chain Management Market

35. Machine Learning In Supply Chain Management Market High Potential Countries, Segments and Strategies

  • 35.1 Machine Learning In Supply Chain Management Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Machine Learning In Supply Chain Management Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Machine Learning In Supply Chain Management Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer