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市场调查报告书
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1710336

2025年供应链生成式AI全球市场报告

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个工作天内

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简介目录

预计未来几年供应链中生成式AI的市场规模将呈指数级增长。到 2029 年，这一数字将成长至 24.9 亿美元，复合年增长率为 43.6%。预测期内的成长可归因于对即时供应链可视性的需求不断增长、对人工智慧供应链规划工具的需求不断增长、对供应链创新实验室人工智慧的投资不断增加、对预测物流人工智慧的需求不断增长以及对先进预测技术的需求不断增长。预测期内的关键趋势包括技术进步、远端医疗、区块链技术、5G 技术和物联网。

预计未来几年电子商务的成长将推动供应链市场产生人工智慧 (AI) 的扩张。电子商务，即透过线上平台和行动应用程式在互联网上购买和销售商品和服务，由于网路购物的日益普及、数位付款系统的进步以及互联网接入的不断扩大，电子商务正在迅速发展。在电子商务供应链中，生成式人工智慧被用于优化库存管理、改善需求预测、简化物流、自动化订单履行以及个人化客户体验，透过分析大量资料来制定更有效率的资料主导策略。例如，美国商务部国际贸易管理局于2023年11月预测，到2025年，英国消费者电子商务将创造2,856亿美元的收益，占2021年1月零售市场的36.3%。此外，预计到2025年，英国电子商务销售额的年均成长率将达到12.6%。因此，电子商务的兴起正在推动供应链市场生成性人工智慧的成长。

供应链生成人工智慧市场的关键参与者正专注于开发认知解决方案等创新技术，以增强预测分析并优化供应链业务。认知解决方案是模拟人类思考过程来分析、解释和处理复杂资料的先进技术。它使用人工智慧、机器学习和自然语言处理，使系统能够理解、推理和学习资料，类似于人类的认知。例如，2023年12月，美国供应链管理公司Blue Yonder推出了Blue Yonder Orchestrator，这是一款旨在改善决策和加速供应链编配的生成式AI工具。该工具利用先进的人工智慧演算法来自动化和优化复杂的供应链流程，使其更有效率和准确。主要功能包括即时资料分析，允许根据当前情况和预测对库存和物流进行动态调整。它与您现有的供应链基础设施无缝集成，并提供可行的见解和提案，以提高整体营运绩效。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场 - 宏观经济情景，包括利率、感染疾病、地缘政治、新冠疫情、经济復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球供应链中的生成式AIPESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 最终用途产业分析
  • 全球供应链生成式AI市场：成长率分析
  • 全球供应链生成式AI市场表现：规模与成长，2019-2024
  • 全球供应链生成式AI市场预测：规模与成长，2024-2029 年，2034 年
  • 全球供应链中的生成式AI总可寻址市场（TAM）

第六章市场区隔

  • 全球供应链生成式AI市场（按组件、效能和预测），2019-2024 年、2024-2029 年、2034 年
  • 解决方案
  • 软体
  • 全球供应链生成式AI市场（按部署模式、效能和预测），2019-2024 年、2024-2029 年、2034 年
  • 云端基础
  • 本地
  • 全球供应链生成式AI市场（按最终用户、绩效及预测），2019-2024 年、2024-2029 年及 2034 年
  • 零售
  • 製造业
  • 卫生保健
  • 其他最终用户
  • 全球供应链生成式AI市场解决方案细分（按类型）、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 供应链优化解决方案
  • 需求预测解决方案
  • 库存管理解决方案
  • 物流和运输解决方案
  • 供应商风险管理解决方案
  • 端到端可视性解决方案
  • 全球供应链生成式AI市场细分（按软体类型、实际情况和预测），2019-2024 年、2024-2029 年、2034 年
  • 预测分析软体
  • 机器学习平台
  • 机器人流程自动化 (RPA) 软体
  • 供应链管理人工智慧（AI-SCM）
  • 协作及通讯软体
  • 资料分析工具

第七章 区域和国家分析

  • 全球供应链生成式AI市场：按地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 全球供应链生成式AI市场：依国家、表现及预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章竞争格局与公司概况

  • 供应链市场中的生成式AI：竞争格局
  • 供应链市场中的生成式AI：公司简介
    • Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Deutsche Post AG Overview, Products and Services, Strategy and Financial Analysis
    • Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Accenture plc Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型创新企业

  • 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 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

  • 2029年供应链市场中的生成式AI：提供新机会的国家
  • 2029年供应链市场中的生成式AI：细分领域带来新机会
  • 2029年供应链市场中的生成式AI：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第36章 附录

简介目录
Product Code: 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