封面
市场调查报告书
商品编码
1619633

2024 年供应链生成式人工智慧全球市场报告

Generative Artificial Intelligence In Supply Chain Global Market Report 2024

出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10个工作天内

价格
简介目录

供应链市场规模的生成式人工智慧预计在未来几年将呈指数级增长。到2028年,将以43.7%的年复合成长率(CAGR)成长至17.3亿美元。预测期内的预期成长是由对即时供应链可视性的需求不断增长、对人工智慧驱动的供应链规划工具的需求不断增长、对供应链创新实验室的人工智慧投资增加以及预测物流中的人工智慧推动的。预计影响这段时期的主要趋势包括技术进步、区块链技术、5G 技术和物联网 (IoT)。

电子商务的成长预计将在未来几年推动生成式人工智慧在供应链市场的扩张。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扩大,电子商务(即透过线上平台和行动应用程式在互联网上买卖商品和服务)正在迅速增长。电子商务供应链透过分析大量资料来开发更有效率、资料驱动的策略,从而优化库存管理、改进需求预测、简化物流并改善订单履行。例如,美国商务部国际贸易局在2023年11月预测,到2025年英国消费电子商务将产生2856亿美元收益,截至2021年1月占零售市场的36.3%。此外,到2025年,英国的电子商务销售额预计将以年均12.6%的速度成长。因此,电子商务的兴起正在推动供应链市场中生成式人工智慧的成长。

供应链市场产生人工智慧的主要企业正在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、解释复杂资料并采取行动的先进技术。它使用人工智慧、机器学习和自然语言处理来使系统能够理解、推理和从资料中学习,类似于人类的认知能力。例如,2023年12月,美国供应链管理公司Blue Yonder发布了Blue Yonder Orchestrator,这是一款旨在改善决策并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,从而提高效率和准确性。主要功能包括即时资料分析,根据当前状况和预测动态调整库存和物流。与现有供应链基础设施无缝集成,并提供可操作的见解和提案,以提高整体营运绩效。

目录

第一章执行摘要

第二章 市场特点

第三章 市场趋势与策略

第四章宏观经济情景

  • 高通膨对市场的影响
  • 乌克兰与俄罗斯战争对市场的影响
  • COVID-19 对市场的影响

第五章世界市场规模与成长

  • 全球供应链中的生成式人工智慧市场:驱动因素与限制因素
    • 市场驱动因素
    • 市场限制因素
  • 全球供应链中的生成式人工智慧市场表现:规模与成长,2018-2023 年
  • 全球供应链生成式人工智慧市场预测:规模与成长,2023-2028 年、2033 年

第六章 市场细分

  • 全球供应链市场生成式人工智慧:按组成部分、绩效和预测,2018-2023、2023-2028、2033
  • 解决方案
  • 软体
  • 全球供应链生成式人工智慧市场:按部署模式分類的绩效与预测,2018-2023、2023-2028、2033
  • 云端基础
  • 本地
  • 全球供应链市场生成式人工智慧:按最终用户、实际和预测,2018-2023、2023-2028、2033
  • 零售
  • 製造业
  • 医疗保健
  • 其他的

第 7 章 区域/国家分析

  • 全球供应链市场产生人工智慧:按地区、表现和预测,2018-2023、2023-2028、2033
  • 全球供应链市场产生人工智慧:按国家、绩效和预测,2018-2023、2023-2028、2033

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14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

第三十章 竞争格局及公司概况

  • 供应链中的产生人工智慧市场:竞争格局
  • 供应链中的产生人工智慧市场:公司简介
    • Amazon.com Inc.
    • Microsoft Corporation
    • Deutsche Post AG
    • Intel Corporation
    • Accenture plc

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章竞争基准化分析

第 33 章. 竞争对手仪表板

第三十四章 重大併购

第35章 未来展望与潜力分析

第36章附录

简介目录
Product Code: r20638

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 $0.28 billion in 2023 to $0.41 billion in 2024 at a compound annual growth rate (CAGR) of 43.4%. The growth observed in the historic period can be attributed to advancements in computational power, the expansion of e-commerce, greater availability of big data, an increased focus on automation, and rising 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 $1.73 billion in 2028 at a compound annual growth rate (CAGR) of 43.7%. The anticipated growth during the forecast period can be attributed to the rising demand for real-time supply chain visibility, an increasing need for AI-powered supply chain planning tools, higher investment in AI for supply chain innovation labs, growing demand for AI in predictive logistics, and a rising interest in advanced forecasting techniques. Key trends expected to shape this period include technological advancements, blockchain technology, 5G technology, and the Internet of Things (IoT).

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 2024 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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

  • 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
  • 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

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Generative Artificial Intelligence In Supply Chain Market Size and Growth

  • 5.1. Global Generative Artificial Intelligence In Supply Chain Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Generative Artificial Intelligence In Supply Chain Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Generative Artificial Intelligence In Supply Chain Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Solutions
  • Software
  • 6.2. Global Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Cloud-Based
  • On-Premise
  • 6.3. Global Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Retail
  • Manufacturing
  • Healthcare
  • Other End-Users

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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Generative Artificial Intelligence In Supply Chain Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, Impact Of COVID-19, 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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.
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Microsoft Corporation
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Deutsche Post AG
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Intel Corporation
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Accenture plc
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

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

33. Global Generative Artificial Intelligence In Supply Chain Market Competitive Dashboard

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

35. Generative Artificial Intelligence In Supply Chain Market Future Outlook and Potential Analysis

  • 35.1 Generative Artificial Intelligence In Supply Chain Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Generative Artificial Intelligence In Supply Chain Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Generative Artificial Intelligence In Supply Chain Market In 2028 - 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