サプライチェーン管理における機械学習の世界市場レポート 2025年

サプライチェーン管理における機械学習市場規模は、今後数年間で飛躍的な成長が見込まれます。2029年の年間平均成長率（CAGR）は23.9%で、243億9,000万米ドルに成長します。予測期間中の成長は、デジタルトランスフォーメーションの採用、市場のボラティリティの拡大、持続可能性の重視、eコマースの拡大、データ主導の意思決定の増加、ロジスティクスにおける自動化とデータ主導戦略のニーズの高まりに起因すると考えられます。予測期間における主な動向には、在庫管理ソリューションの改善、リアルタイムのサプライチェーン可視化、AIの洞察によるリスク管理、より良いコラボレーションのためのクラウドベースのサプライチェーンソリューション、倉庫業務の最適化のためのAI主導型ソリューションなどがあります。

ロジスティクスにおける自動化の台頭は、今後数年間におけるサプライチェーン管理における機械学習市場の拡大を促進します。ロジスティクスの自動化とは、ロボット工学、AI、ソフトウェアシステムなどの技術を利用して、最小限の人的関与でサプライチェーンプロセスを合理化・最適化することを指します。このような自動化の成長は、効率性の向上、コストの削減、運用の拡張性と顧客満足度を高める技術の活用によるeコマース需要の増加に対応する能力によってもたらされます。機械学習は、予測分析、需要予測、リアルタイムの意思決定を可能にすることで、サプライチェーン管理において重要な役割を果たしています。また、ルート最適化、倉庫ロボット、インテリジェント在庫管理などのツールにより、ロジスティクスの自動化をサポートします。例えば2024年9月、ドイツを拠点とする業界団体である国際ロボット連盟（IFR）は、2023年に世界の工場で稼働するロボットの台数が428万1,585台に達し、2022年に記録した390万4,000台から10％増加したと報告しました。その結果、物流の自動化が進み、サプライチェーン管理における機械学習市場の成長に寄与しています。

サプライチェーン管理における機械学習市場の主要企業は、意思決定を最適化し、業務を改善し、全体的な効率を高めるために、サプライチェーン管理用のAI搭載アシスタントなどの高度な技術ソリューションの開発に注力しています。サプライチェーン管理用AIアシスタントとは、予測、在庫管理、物流計画などのサプライチェーン機能を自動化・最適化するために人工知能を使用するインテリジェントなソフトウェアツールです。例えば、2024年2月、米国を拠点とするデジタル・サプライチェーン・ソリューションのプロバイダーであるOne Network Enterprises社は、サプライチェーン管理用に設計された革新的なAIツールであるNEO Assistantを発表しました。このプラットフォームは、AIと機械学習（ML）技術の両方を組み合わせ、リアルタイムのモニタリング、スマートな処方箋、インタラクティブな可視化を提供します。AI主導の洞察とMLベースの予測分析を融合させることで、NEO Assistantは複雑な物流ネットワーク全体の意思決定と業務効率を向上させる。NEOアシスタントは、ユーザーに実用的な提案と簡素化された問題解決能力を提供し、ダイナミックなサプライチェーン環境の管理に非常に効果的です。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場- 金利、インフレ、地政学、貿易戦争と関税、そしてコロナ禍と回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

• 世界サプライチェーン管理における機械学習 PESTEL分析（政治、社会、技術、環境、法的要因、促進要因と抑制要因）
• 最終用途産業の分析
• 世界のサプライチェーン管理における機械学習市場：成長率分析
• 世界のサプライチェーン管理における機械学習市場の実績：規模と成長, 2019-2024
• 世界のサプライチェーン管理における機械学習市場の予測：規模と成長, 2024-2029, 2034F
• 世界サプライチェーン管理における機械学習総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界のサプライチェーン管理における機械学習市場：コンポーネント別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ソフトウェア
• サービス
• 世界のサプライチェーン管理における機械学習市場：技術別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 人工知能
• ディープラーニング
• 自然言語処理
• 予測分析
• 世界のサプライチェーン管理における機械学習市場：展開モード別、実績と予測, 2019-2024, 2024-2029F, 2034F
• クラウドベース
• オンプレミス
• 世界のサプライチェーン管理における機械学習市場：用途別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 需要予測
• 在庫管理
• サプライヤーの選択
• 物流最適化
• リスク管理
• 世界のサプライチェーン管理における機械学習市場：エンドユーザー別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 小売業とeコマース
• 製造業
• ヘルスケア
• 自動車
• 食品・飲料
• 消費財
• その他のエンドユーザー
• 世界のサプライチェーン管理における機械学習市場ソフトウェアの種類別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
• 需要予測ソフトウェア
• 倉庫管理ソフトウェア（WMS）
• 輸送管理システム（TMS）
• 在庫最適化ソフトウェア
• 調達・ソーシング分析ツール
• サプライチェーン計画ソフトウェア
• リスク管理およびコンプライアンスソフトウェア
• 世界のサプライチェーン管理における機械学習市場、サービスの種類別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
• マネージドサービス
• プロフェッショナルサービス
• コンサルティングサービス
• トレーニングおよびサポートサービス

第7章 地域別・国別分析

• 世界のサプライチェーン管理における機械学習市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界のサプライチェーン管理における機械学習市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• サプライチェーン管理における機械学習市場：競合情勢
• サプライチェーン管理における機械学習市場：企業プロファイル
  • 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 その他の大手企業と革新的企業

• 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.

第32章 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

• サプライチェーン管理における機械学習市場2029：新たな機会を提供する国
• サプライチェーン管理における機械学習市場2029：新たな機会を提供するセグメント
• サプライチェーン管理における機械学習市場2029：成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

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