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市場調查報告書
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1760170

2025年供應鏈管理中的機器學習全球市場報告

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個工作天內

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簡介目錄

預計未來幾年，供應鏈管理中的機器學習市場規模將呈指數級成長。到 2029 年，它將以 23.9% 的年複合成長率（CAGR）成長到 243.9 億美元。預測期內的成長可以歸因於數位轉型的採用、市場波動性加劇、對永續性的重視、電子商務的擴張、數據主導決策的增加以及對物流自動化和數據主導策略的日益成長的需求。預測期內的主要趨勢包括改進的庫存管理解決方案、即時供應鏈視覺性、透過 AI 洞察進行風險管理、雲端基礎的供應鏈解決方案以實現更好的協作，以及用於最佳化倉庫業務的 AI主導解決方案。

物流自動化的興起將推動未來幾年供應鏈管理市場中機器學習的擴張。物流自動化是指利用機器人、人工智慧和軟體系統等技術，在盡量減少人工干預的情況下，簡化和最佳化供應鏈流程。自動化的成長源自於人們能夠利用技術來提高效率、降低成本、擴大營運擴充性並提升客戶滿意度，從而滿足日益成長的電子商務需求。機器學習在供應鏈管理中發揮關鍵作用，它能夠實現預測分析、需求預測和即時決策。此外，它還透過路線最佳化、倉庫機器人和智慧庫存管理等工具支援物流自動化。例如，總部位於德國的行業協會國際機器人聯合會 (IFR) 在 2024 年 9 月報告稱，到 2023 年，全球工廠中運作的機器人數量將達到 4,281,585 台，比 2022 年的 3,904,000 台成長 10%。這推動了物流自動化程度的提高，從而促進了供應鏈管理市場中機器學習的成長。

供應鏈管理市場機器學習的主要企業正專注於開發先進的技術解決方案，例如用於供應鏈管理的人工智慧助手，以最佳化決策、改善業務和提高整體效率。供應鏈管理人工智慧助理是一種智慧軟體工具，它使用人工智慧來自動化和最佳化供應鏈功能，例如預測、庫存管理和物流計劃。例如，2024 年 2 月，美國數位供應鏈解決方案供應商 One Network Enterprises 推出了 NEO Assistant，這是一款專為供應鏈管理設計的創新人工智慧工具。該平台結合了人工智慧和機器學習 (ML) 技術，提供即時監控、智慧處方箋和互動式視覺化。透過將人工智慧主導的洞察力與基於機器學習的預測分析相結合，NEO Assistant 提高了複雜物流網路的決策和業務效率。 NEO Assistant 為使用者提供可行的提案和簡化的解決問題的能力，使其在管理動態供應鏈環境中非常有效。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場 - 宏觀經濟情景，包括利率、通膨、地緣政治、貿易戰和關稅，以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球供應鏈管理中的機器學習 PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 最終用途產業分析
  • 全球供應鏈管理機器學習市場：成長率分析
  • 全球供應鏈管理機器學習市場表現：規模與成長，2019-2024
  • 全球供應鏈管理機器學習市場預測：規模與成長，2024-2029 年，2034 年
  • 全球供應鏈管理中的機器學習總目標市場（TAM）

第6章市場區隔

  • 全球供應鏈管理機器學習市場：依組成部分、實際及預測，2019-2024 年、2024-2029 年、2034 年
  • 軟體
  • 服務
  • 全球供應鏈管理機器學習市場（依技術、績效與預測），2019-2024 年、2024-2029 年、2034 年
  • 人工智慧
  • 深度學習
  • 自然語言處理
  • 預測分析
  • 全球供應鏈管理機器學習市場（按部署模式、效能和預測），2019-2024 年、2024-2029 年、2034 年
  • 雲端基礎
  • 本地
  • 全球供應鏈管理機器學習市場：應用、績效及預測（2019-2024 年、2024-2029 年及 2034 年）
  • 需求預測
  • 庫存管理
  • 供應商選擇
  • 物流最佳化
  • 風險管理
  • 全球供應鏈管理機器學習市場：按最終用戶、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 零售與電子商務
  • 製造業
  • 衛生保健
  • 車
  • 食品/飲料
  • 消費品
  • 其他最終用戶
  • 全球供應鏈管理機器學習市場細分（按軟體類型、實際情況和預測），2019-2024 年、2024-2029 年、2034 年
  • 需求預測軟體
  • 倉庫管理軟體（WMS）
  • 運輸管理系統（TMS）
  • 庫存最佳化軟體
  • 採購與尋源分析工具
  • 供應鏈規劃軟體
  • 風險管理與合規軟體
  • 全球供應鏈管理機器學習市場，按服務類型、績效和預測細分，2019-2024 年、2024-2029 年、2034 年
  • 託管服務
  • 專業服務
  • 諮詢服務
  • 培訓和支援服務

第7章 區域和國家分析

  • 全球供應鏈管理機器學習市場：按地區、績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 全球供應鏈管理機器學習市場：依國家/地區、績效及預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章競爭格局與公司概況

  • 供應鏈管理市場中的機器學習：競爭格局
  • 供應鏈管理市場中的機器學習：公司簡介
    • 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 其他大型創新企業

  • 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章 高市場潛力國家、細分市場與策略

  • 2029年供應鏈管理市場中的機器學習：提供新機會的國家
  • 2029年供應鏈管理市場中的機器學習：提供新機會的市場
  • 2029年供應鏈管理市場中的機器學習：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第36章 附錄

簡介目錄
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.

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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