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市場調查報告書
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1710336

2025年供應鏈生成式AI全球市場報告

Generative Artificial Intelligence In Supply Chain Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 200 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中生成式AI的市場規模將呈指數級成長。到 2029 年，這一數字將成長至 24.9 億美元，複合年成長率為 43.6%。預測期內的成長可歸因於對即時供應鏈可視性的需求不斷成長、對人工智慧供應鏈規劃工具的需求不斷成長、對供應鏈創新實驗室人工智慧的投資不斷增加、對預測物流人工智慧的需求不斷成長以及對先進預測技術的需求不斷成長。預測期內的關鍵趨勢包括技術進步、遠端醫療、區塊鏈技術、5G 技術和物聯網。

預計未來幾年電子商務的成長將推動供應鏈市場產生人工智慧 (AI) 的擴張。電子商務，即透過線上平台和行動應用程式在網際網路上購買和銷售商品和服務，由於網路購物的日益普及、數位付款系統的進步以及網際網路接入的不斷擴大，電子商務正在迅速發展。在電子商務供應鏈中，生成式人工智慧被用於最佳化庫存管理、改善需求預測、簡化物流、自動化訂單履行以及個人化客戶體驗，透過分析大量資料來制定更有效率的資料主導策略。例如，美國商務部國際貿易管理局於2023年11月預測，到2025年，英國消費者電子商務將創造2,856億美元的收益，佔2021年1月零售市場的36.3%。此外，預計到2025年，英國電子商務銷售額的年均成長率將達到12.6%。因此，電子商務的興起正在推動供應鏈市場生成性人工智慧的成長。

供應鏈生成人工智慧市場的關鍵參與者正專注於開發認知解決方案等創新技術，以增強預測分析並最佳化供應鏈業務。認知解決方案是模擬人類思考過程來分析、解釋和處理複雜資料的先進技術。它使用人工智慧、機器學習和自然語言處理，使系統能夠理解、推理和學習資料，類似於人類的認知。例如，2023年12月，美國供應鏈管理公司Blue Yonder推出了Blue Yonder Orchestrator，這是一款旨在改善決策和加速供應鏈編配的生成式AI工具。該工具利用先進的人工智慧演算法來自動化和最佳化複雜的供應鏈流程，使其更有效率和準確。主要功能包括即時資料分析，允許根據當前情況和預測對庫存和物流進行動態調整。它與您現有的供應鏈基礎設施無縫整合，並提供可行的見解和提案，以提高整體營運績效。

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、感染疾病、地緣政治、新冠疫情、經濟復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球供應鏈中的生成式AIPESTEL 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
  • 全球供應鏈生成式AI市場：成長率分析
  • 全球供應鏈生成式AI市場表現：規模與成長，2019-2024
  • 全球供應鏈生成式AI市場預測：規模與成長，2024-2029 年，2034 年
  • 全球供應鏈中的生成式AI總可尋址市場（TAM）

第6章市場區隔

  • 全球供應鏈生成式AI市場（按組件、效能和預測），2019-2024 年、2024-2029 年、2034 年
  • 解決方案
  • 軟體
  • 全球供應鏈生成式AI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
  • 全球供應鏈生成式AI市場（按最終用戶、績效及預測），2019-2024 年、2024-2029 年及 2034 年
  • 零售
  • 製造業
  • 衛生保健
  • 其他最終用戶
  • 全球供應鏈生成式AI市場解決方案細分（按類型）、績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 供應鏈最佳化解決方案
  • 需求預測解決方案
  • 庫存管理解決方案
  • 物流和運輸解決方案
  • 供應商風險管理解決方案
  • 端到端可視性解決方案
  • 全球供應鏈生成式AI市場細分（按軟體類型、實際情況和預測），2019-2024 年、2024-2029 年、2034 年
  • 預測分析軟體
  • 機器學習平台
  • 機器人流程自動化 (RPA) 軟體
  • 供應鏈管理人工智慧（AI-SCM）
  • 協作及通訊軟體
  • 資料分析工具

第7章 區域和國家分析

  • 全球供應鏈生成式AI市場：按地區、績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 全球供應鏈生成式AI市場：依國家、表現及預測，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

  • 供應鏈市場中的生成式AI：競爭格局
  • 供應鏈市場中的生成式AI：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
    • Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Accenture plc Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型創新企業

  • International Business Machines Corporation
  • Cisco Systems Inc.
  • Oracle Corporation
  • SAP SE
  • NVIDIA Corporation
  • Infosys Limited
  • Dematic Inc.
  • Zebra Technologies Corporation
  • PTC Inc.
  • Teradata Corporation
  • Blue Yonder Inc.
  • L&T Technology Services Limited
  • Manhattan Associates Inc.
  • Nitor Infotech Private Limited
  • Logility 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年供應鏈市場中的生成式AI：提供新機會的國家
  • 2029年供應鏈市場中的生成式AI：細分領域帶來新機會
  • 2029年供應鏈市場中的生成式AI：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: r31915

Generative artificial intelligence (AI) in the supply chain involves using advanced AI technologies to create or optimize various elements within the supply chain process. This includes developing new models for demand forecasting, optimizing logistics routes, creating simulations for supply chain scenarios, and more. Generative AI improves decision-making by providing more accurate predictions and innovative solutions, ultimately enhancing efficiency, reducing costs, and improving responsiveness to market changes.

The primary components of generative AI in the supply chain are solutions and software. In this context, solutions refer to comprehensive systems or packages designed to address specific challenges within supply chain management. These solutions can be deployed in cloud-based or on-premise environments and are utilized by various end-users, including those in retail, manufacturing, healthcare, and other sectors.

The generative artificial intelligence in supply chain market research report is one of a series of new reports from The Business Research Company that provides generative artificial intelligence in supply chain market statistics, including generative artificial intelligence in supply chain industry global market size, regional shares, competitors with a generative artificial intelligence in supply chain market share, detailed generative artificial intelligence in supply chain market segments, market trends and opportunities, and any further data you may need to thrive in generative artificial intelligence in supply chain industry. This generative artificial intelligence in supply chain 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 generative artificial intelligence in supply chain market size has grown exponentially in recent years. It will grow from $0.41 $ billion in 2024 to $0.58 $ billion in 2025 at a compound annual growth rate (CAGR) of 43.9%. The growth in the historic period can be attributed to growth in computational power, growth in e-commerce, increasing availability of big data, increasing focus on automation, and growth in investment in AI research and development.

The generative artificial intelligence in supply chain market size is expected to see exponential growth in the next few years. It will grow to $2.49 $ billion in 2029 at a compound annual growth rate (CAGR) of 43.6%. The growth in the forecast period can be attributed to increasing demand for real-time supply chain visibility, growing need for AI-powered supply chain planning tools, rising investment in AI for supply chain innovation labs, growing demand for AI in predictive logistics, and rising demand for advanced forecasting techniques. Major trends in the forecast period include technological advancements, telemedicine, blockchain technology, 5G technology, and internet of things.

The growth of e-commerce is expected to fuel the expansion of generative artificial intelligence (AI) in the supply chain market in the coming years. E-commerce, which involves the buying and selling of goods and services over the Internet through online platforms and mobile applications, has surged due to the increasing popularity of online shopping, advancements in digital payment systems, and broader internet access. In e-commerce supply chains, generative AI is used to optimize inventory management, improve demand forecasting, streamline logistics, automate order processing, and personalize customer experiences by analyzing vast amounts of data to develop more efficient, data-driven strategies. For example, in November 2023, the International Trade Administration, a US-based Department of Commerce, projected that consumer e-commerce in the UK would generate $285.60 billion in revenue by 2025, representing 36.3% of the retail market as of January 2021. Moreover, e-commerce revenues in the UK are expected to grow at an average annual rate of 12.6% by 2025. As a result, the rise of e-commerce is driving the growth of generative AI in the supply chain market.

Key companies in the generative AI in the supply chain market are focusing on developing innovative technologies, such as cognitive solutions, to enhance predictive analytics and optimize supply chain operations. Cognitive solutions are advanced technologies that simulate human thought processes to analyze, interpret, and act on complex data. They use AI, machine learning, and natural language processing to enable systems to understand, reason, and learn from data, similar to human cognitive abilities. For instance, in December 2023, Blue Yonder, a US-based supply chain management company, launched Blue Yonder Orchestrator, a generative AI tool designed to improve decision-making and accelerate supply chain orchestration. This tool utilizes advanced AI algorithms to automate and optimize complex supply chain processes, boosting efficiency and accuracy. Key features include real-time data analysis, allowing dynamic adjustments to inventory and logistics based on current conditions and forecasts. It integrates seamlessly with existing supply chain infrastructure, offering actionable insights and recommendations to enhance overall operational performance.

In September 2023, Logility Inc., a US-based provider of AI-driven supply chain planning solutions, acquired Garvis for an undisclosed amount. This acquisition is intended to strengthen Logility's demand forecasting capabilities by incorporating Garvis's AI-native and generative AI technologies. Garvis, based in Belgium, specializes in AI and cloud-based platforms for supply chain forecasting and demand planning.

Major companies operating in the generative artificial intelligence in supply chain market are Amazon.com Inc., Microsoft Corporation, Deutsche Post AG, Intel Corporation, Accenture plc, International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, SAP SE, NVIDIA Corporation, Infosys Limited, Dematic Inc., Zebra Technologies Corporation, PTC Inc., Teradata Corporation, Blue Yonder Inc., L&T Technology Services Limited, Manhattan Associates Inc., Nitor Infotech Private Limited, Logility Inc., LLamasoft Inc., Covariant Inc., FourKites Inc., Kanerika Inc., ClearMetal Inc.

North America was the largest region in the generative artificial intelligence in supply chain market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence in supply chain market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

The generative artificial intelligence in supply chain market consists of revenues earned by entities providing services such as supply chain planning and optimization, logistics and transportation management, supplier relationship management, and predictive maintenance. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence in supply chain market also includes sales of inventory optimization software, supply chain planning platforms, logistics and transportation management systems, warehouse automation and robotics, risk management software, and product lifecycle management software. 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.

Generative Artificial Intelligence In Supply Chain 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 generative artificial intelligence in supply chain 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 generative artificial intelligence in supply chain ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The generative artificial intelligence in supply chain 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: Solutions; Software
  • 2) By Deployment Mode: Cloud-Based; On-Premise
  • 3) By End-User: Retail; Manufacturing; Healthcare; Other End-Users
  • Subsegments:
  • 1) By Solutions: Supply Chain Optimization Solutions; Demand Forecasting Solutions; Inventory Management Solutions; Logistics And Transportation Solutions; Supplier Risk Management Solutions; End-to-End Visibility Solutions
  • 2) By Software: Predictive Analytics Software; Machine Learning Platforms; Robotics Process Automation (RPA) Software; Artificial Intelligence For Supply Chain Management (AI-SCM); Collaboration And Communication Software; Data Analytics Tools
  • Companies Mentioned: Amazon.com Inc.; Microsoft Corporation; Deutsche Post AG; Intel Corporation; Accenture plc
  • 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. Generative Artificial Intelligence In Supply Chain Market Characteristics

3. Generative Artificial Intelligence In Supply Chain Market Trends And Strategies

4. Generative Artificial Intelligence In Supply Chain Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Generative Artificial Intelligence In Supply Chain Growth Analysis And Strategic Analysis Framework

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

6. Generative Artificial Intelligence In Supply Chain Market Segmentation

  • 6.1. Global Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Solutions
  • Software
  • 6.2. Global Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud-Based
  • On-Premise
  • 6.3. Global Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Retail
  • Manufacturing
  • Healthcare
  • Other End-Users
  • 6.4. Global Generative Artificial Intelligence In Supply Chain Market, Sub-Segmentation Of Solutions, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Supply Chain Optimization Solutions
  • Demand Forecasting Solutions
  • Inventory Management Solutions
  • Logistics And Transportation Solutions
  • Supplier Risk Management Solutions
  • End-to-End Visibility Solutions
  • 6.5. Global Generative Artificial Intelligence In Supply Chain Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Predictive Analytics Software
  • Machine Learning Platforms
  • Robotics Process Automation (RPA) Software
  • Artificial Intelligence For Supply Chain Management (AI-SCM)
  • Collaboration And Communication Software
  • Data Analytics Tools

7. Generative Artificial Intelligence In Supply Chain Market Regional And Country Analysis

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

8. Asia-Pacific Generative Artificial Intelligence In Supply Chain Market

  • 8.1. Asia-Pacific Generative Artificial Intelligence In Supply Chain 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 Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Generative Artificial Intelligence In Supply Chain Market

  • 9.1. China Generative Artificial Intelligence In Supply Chain Market Overview
  • 9.2. China Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Generative Artificial Intelligence In Supply Chain Market

  • 10.1. India Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Generative Artificial Intelligence In Supply Chain Market

  • 11.1. Japan Generative Artificial Intelligence In Supply Chain Market Overview
  • 11.2. Japan Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Generative Artificial Intelligence In Supply Chain Market

  • 12.1. Australia Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Generative Artificial Intelligence In Supply Chain Market

  • 13.1. Indonesia Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Generative Artificial Intelligence In Supply Chain Market

  • 14.1. South Korea Generative Artificial Intelligence In Supply Chain Market Overview
  • 14.2. South Korea Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Generative Artificial Intelligence In Supply Chain Market

  • 15.1. Western Europe Generative Artificial Intelligence In Supply Chain Market Overview
  • 15.2. Western Europe Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Generative Artificial Intelligence In Supply Chain Market

  • 16.1. UK Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Generative Artificial Intelligence In Supply Chain Market

  • 17.1. Germany Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Generative Artificial Intelligence In Supply Chain Market

  • 18.1. France Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Generative Artificial Intelligence In Supply Chain Market

  • 19.1. Italy Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Generative Artificial Intelligence In Supply Chain Market

  • 20.1. Spain Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Generative Artificial Intelligence In Supply Chain Market

  • 21.1. Eastern Europe Generative Artificial Intelligence In Supply Chain Market Overview
  • 21.2. Eastern Europe Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Generative Artificial Intelligence In Supply Chain Market

  • 22.1. Russia Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Generative Artificial Intelligence In Supply Chain Market

  • 23.1. North America Generative Artificial Intelligence In Supply Chain Market Overview
  • 23.2. North America Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Generative Artificial Intelligence In Supply Chain Market

  • 24.1. USA Generative Artificial Intelligence In Supply Chain Market Overview
  • 24.2. USA Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Generative Artificial Intelligence In Supply Chain Market

  • 25.1. Canada Generative Artificial Intelligence In Supply Chain Market Overview
  • 25.2. Canada Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Generative Artificial Intelligence In Supply Chain Market

  • 26.1. South America Generative Artificial Intelligence In Supply Chain Market Overview
  • 26.2. South America Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Generative Artificial Intelligence In Supply Chain Market

  • 27.1. Brazil Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Generative Artificial Intelligence In Supply Chain Market

  • 28.1. Middle East Generative Artificial Intelligence In Supply Chain Market Overview
  • 28.2. Middle East Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Generative Artificial Intelligence In Supply Chain Market

  • 29.1. Africa Generative Artificial Intelligence In Supply Chain Market Overview
  • 29.2. Africa Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Generative Artificial Intelligence In Supply Chain Market Competitive Landscape And Company Profiles

  • 30.1. Generative Artificial Intelligence In Supply Chain Market Competitive Landscape
  • 30.2. Generative Artificial Intelligence In Supply Chain 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. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Accenture plc Overview, Products and Services, Strategy and Financial Analysis

31. Generative Artificial Intelligence In Supply Chain Market Other Major And Innovative Companies

  • 31.1. International Business Machines Corporation
  • 31.2. Cisco Systems Inc.
  • 31.3. Oracle Corporation
  • 31.4. SAP SE
  • 31.5. NVIDIA Corporation
  • 31.6. Infosys Limited
  • 31.7. Dematic Inc.
  • 31.8. Zebra Technologies Corporation
  • 31.9. PTC Inc.
  • 31.10. Teradata Corporation
  • 31.11. Blue Yonder Inc.
  • 31.12. L&T Technology Services Limited
  • 31.13. Manhattan Associates Inc.
  • 31.14. Nitor Infotech Private Limited
  • 31.15. Logility Inc.

32. Global Generative Artificial Intelligence In Supply Chain Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Generative Artificial Intelligence In Supply Chain Market

34. Recent Developments In The Generative Artificial Intelligence In Supply Chain Market

35. Generative Artificial Intelligence In Supply Chain Market High Potential Countries, Segments and Strategies

  • 35.1 Generative Artificial Intelligence In Supply Chain Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Generative Artificial Intelligence In Supply Chain Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Generative Artificial Intelligence In Supply Chain 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