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市场调查报告书
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1981224

2026年全球供应链产生式人工智慧市场报告

Generative Artificial Intelligence In Supply Chain Global Market Report 2026
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来，供应链领域生成式人工智慧的市场规模呈现爆炸性成长。预计该市场规模将从2025年的5.8亿美元成长到2026年的8.4亿美元，复合年增长率（CAGR）高达43.8%。过去几年成长要素包括：全球供应链日益复杂化、对更快交付的需求不断增长、物流行业早期采用人工智慧、对供应链视觉化工具的投资增加以及对高效库存管理的需求。

未来几年，供应链领域生成式人工智慧的市场规模预计将大幅成长。到2030年，该市场规模预计将达到35.6亿美元，复合年增长率（CAGR）高达43.5%。预测期内的成长要素包括生成式人工智慧模型的进步、云端供应链解决方案的扩展、预测分析与机器人流程自动化（RPA）的融合、人工智慧驱动的供应商风险管理的扩展以及协作式供应链平台的普及。预测期内的关键趋势包括人工智慧驱动的需求预测、生成式供应链模拟、人工智慧驱动的物流路线最佳化、自动化库存管理以及供应商风险预测和缓解。

电子商务的兴起预计将推动供应链中生成式人工智慧市场的成长。电子商务是指透过线上平台和行动应用程式进行的商品和服务交易。电子商务的成长得益于网路购物的日益普及、数位支付系统的进步以及互联网接入的扩展。生成式人工智慧透过大规模数据分析，优化库存管理、提高需求预测的准确性、提升物流营运效率、实现订单处理自动化以及个人化客户体验，进而增强大规模。例如，根据美国政府机构国际贸易管理局 (ITA) 2023 年 11 月发布的报告，预计到 2025 年，英国消费者电子商务的销售额将达到 2,856 亿美元，占零售市场的 36.3%，预计年均成长率为 12.6%。因此，电子商务的兴起正在促进供应链中生成式人工智慧市场的成长。

在供应链生成式人工智慧市场领域，主要企业正致力于开发创新技术，例如认知解决方案，以增强预测分析并优化供应链营运。认知解决方案是利用人工智慧、机器学习和自然语言处理等先进技术，模拟人类思考过程，分析、解释和处理复杂数据。例如，总部位于美国的供应链管理公司 Blue Yonder 于 2023 年 12 月发布了 Blue Yonder Orchestrator，这是一款旨在加速智慧决策和供应链编配的生成式人工智慧解决方案。该解决方案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，提供可操作的洞察，并透过提供即时数据分析以进行动态库存和物流调整以及与现有供应链系统的无缝整合等功能来提升整体绩效。

目录

第一章：执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球供应链生成式人工智慧市场：吸引力评分及分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 人工智慧（AI）和自主人工智慧
    • 数位化、云端运算、巨量资料、网路安全
    • 工业4.0和智慧製造
    • 物联网、智慧基础设施、互联生态系统
    • 自主系统、机器人、智慧运输
  • 主要趋势
    • 人工智慧驱动的需求预测
    • 生成式供应链模拟
    • 人工智慧驱动的物流路线优化
    • 库存管理自动化
    • 预测并降低供应商风险

第五章 终端用户产业市场分析

  • 零售公司
  • 製造公司
  • 医疗保健提供者
  • 物流和运输公司
  • 电子商务企业

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球供应链中的生成式人工智慧市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 全球供应链生成式人工智慧市场规模、对比及成长率分析
  • 全球供应链生成式人工智慧市场表现：规模与成长，2020-2025年
  • 全球供应链生成式人工智慧市场预测：规模与成长，2025-2030年，2035年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 按组件
  • 解决方案、软体
  • 部署模式
  • 基于云端，本地部署
  • 最终用户
  • 零售、製造业、医疗保健和其他终端用户
  • 解决方案细分（按组件）
  • 供应链最佳化解决方案、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
  • 软体细分（按组件）
  • 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)、协作和通讯软体、数据分析工具。

第十章 市场与产业指标：依国家划分

第十一章 区域与国别分析

  • 全球供应链中的生成式人工智慧市场：按地区划分，历史资料及预测（2020-2025年、2025-2030年、2035年）
  • 全球供应链中的生成式人工智慧市场：依国家划分，历史资料及预测，2020-2025年、2025-2030年、2035年

第十二章 亚太市场

第十三章：中国市场

第十四章：印度市场

第十五章：日本市场

第十六章：澳洲市场

第十七章：印尼市场

第十八章：韩国市场

第十九章 台湾市场

第二十章：东南亚市场

第21章 西欧市场

第22章英国市场

第23章：德国市场

第24章：法国市场

第25章：义大利市场

第26章：西班牙市场

第27章 东欧市场

第28章：俄罗斯市场

第29章 北美市场

第三十章：美国市场

第31章：加拿大市场

第32章：南美洲市场

第33章：巴西市场

第34章 中东市场

第35章：非洲市场

第三十六章 市场监理与投资环境

第37章：竞争格局与公司概况

  • 供应链中的生成式人工智慧市场：竞争格局与市场占有率（2024 年）
  • 供应链中的生成式人工智慧市场：公司估值矩阵
  • 供应链中的生成式人工智慧市场：公司概况
    • Amazon.com Inc.
    • Microsoft Corporation
    • Deutsche Post AG
    • Intel Corporation
    • International Business Machines Corporation

第38章 其他大型企业和创新企业

  • Oracle Corporation, SAP SE, NVIDIA Corporation, Dematic Inc., PTC Inc., Teradata Corporation, Blue Yonder Inc., Manhattan Associates Inc., Logility Inc., LLamasoft Inc., Covariant Inc., FourKites Inc., ClearMetal Inc., o9 Solutions, Anaplan Inc.

第39章 全球市场竞争基准分析与仪錶板

第四十章 重大併购

第41章 具有高市场潜力的国家、细分市场与策略

  • 2030年供应链中的生成式人工智慧市场：提供新机会的国家
  • 2030年供应链中的生成式人工智慧市场：蕴藏新机会的细分领域
  • 2030年供应链中的生成式人工智慧市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第42章附录

简介目录
Product Code: IT4MGAIS02_G26Q1

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.

Tariffs have affected the generative AI in supply chain market by increasing costs for importing high-performance servers, predictive analytics software, robotics process automation tools, and AI-enabled supply chain platforms. Segments such as logistics optimization, inventory management, and end-to-end supply chain visibility are particularly impacted, especially in regions like North America, Europe, and Asia-Pacific that depend on imported technology. While tariffs have raised operational costs and slowed deployment in certain areas, they have also encouraged local production, innovation in cost-efficient AI solutions, and accelerated adoption of domestic supply chain technologies.

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 the 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 $0.58 billion in 2025 to $0.84 billion in 2026 at a compound annual growth rate (CAGR) of 43.8%. The growth in the historic period can be attributed to growing complexity in global supply chains, increasing demand for faster delivery, early adoption of AI in logistics, rising investment in supply chain visibility tools, need for efficient inventory management.

The generative artificial intelligence in supply chain market size is expected to see exponential growth in the next few years. It will grow to $3.56 billion in 2030 at a compound annual growth rate (CAGR) of 43.5%. The growth in the forecast period can be attributed to advancements in generative AI models, expansion of cloud-based supply chain solutions, integration of predictive analytics with rpa, growth in AI-driven supplier risk management, adoption of collaborative supply chain platforms. Major trends in the forecast period include AI-powered demand forecasting, generative supply chain simulation, logistics route optimization using ai, inventory management automation, supplier risk prediction and mitigation.

The rise in e-commerce is expected to support the growth of generative artificial intelligence in the supply chain market going forward. E-commerce involves conducting commercial transactions for goods and services through online platforms and mobile applications. Growth in e-commerce is driven by wider adoption of online shopping, advancements in digital payment systems, and expanded internet access. Generative artificial intelligence enhances e-commerce supply chains by optimizing inventory management, improving demand forecasting, streamlining logistics operations, automating order processing, and personalizing customer experiences through large-scale data analysis. For example, in November 2023, according to the International Trade Administration, a US-based government body, consumer e-commerce in the UK was projected to generate $285.60 billion in revenue by 2025, accounting for 36.3% of the retail market, with revenues expected to grow at an average annual rate of 12.6%. Therefore, the rise in e-commerce is contributing to the growth of generative artificial intelligence in the supply chain market.

Leading companies operating in the generative artificial intelligence in the supply chain market are focusing on developing innovative technologies, such as cognitive solutions, to strengthen predictive analytics and optimize supply chain operations. Cognitive solutions are advanced technologies that emulate human thought processes to analyze, interpret, and act on complex data using artificial intelligence, machine learning, and natural language processing. For example, in December 2023, Blue Yonder, a US-based supply chain management company, launched Blue Yonder Orchestrator, a generative AI solution designed to accelerate intelligent decision-making and supply chain orchestration. This capability uses advanced AI algorithms to automate and optimize complex supply chain processes, offering features such as real-time data analysis for dynamic inventory and logistics adjustments and seamless integration with existing supply chain systems to deliver actionable insights and improve overall performance.

In September 2023, Logility Inc., a US-based provider of AI-enabled supply chain planning solutions, acquired Garvis for an undisclosed amount. Through this acquisition, Logility seeks to enhance its demand forecasting capabilities by integrating Garvis's AI-native and generative AI technologies. Garvis is a Belgium-based AI and cloud platform specializing in 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, International Business Machines Corporation, Oracle Corporation, SAP SE, NVIDIA Corporation, Dematic Inc., PTC Inc., Teradata Corporation, Blue Yonder Inc.,Manhattan Associates Inc., Logility Inc., LLamasoft Inc., Covariant Inc., FourKites Inc., ClearMetal Inc., o9 Solutions, Anaplan Inc., E2open LLC, Infor Inc., Flexport Inc., Descartes Systems Group Inc., GEP Worldwide, Celonis

North America was the largest region in the generative artificial intelligence in supply chain market in 2025. 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, South East Asia, 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, Taiwan, 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 Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses 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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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
  • Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
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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, including technological disruption, regulatory shifts, and changing consumer preferences? 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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, 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. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • 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.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

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; International Business Machines Corporation; Oracle Corporation; SAP SE; NVIDIA Corporation; Dematic Inc.; PTC Inc.; Teradata Corporation; Blue Yonder Inc.;Manhattan Associates Inc.; Logility Inc.; LLamasoft Inc.; Covariant Inc.; FourKites Inc.; ClearMetal Inc.; o9 Solutions; Anaplan Inc.; E2open LLC; Infor Inc.; Flexport Inc.; Descartes Systems Group Inc.; GEP Worldwide; Celonis
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; South East Asia; 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: Word, PDF or Interactive Report
  • + Excel Dashboard
  • Added Benefits
  • Bi-Annual Data Update
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Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Generative Artificial Intelligence In Supply Chain Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Generative Artificial Intelligence In Supply Chain Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Generative Artificial Intelligence In Supply Chain Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Generative Artificial Intelligence In Supply Chain Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.3 Industry 4.0 & Intelligent Manufacturing
    • 4.1.4 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.5 Autonomous Systems, Robotics & Smart Mobility
  • 4.2. Major Trends
    • 4.2.1 AI-Powered Demand Forecasting
    • 4.2.2 Generative Supply Chain Simulation
    • 4.2.3 Logistics Route Optimization Using AI
    • 4.2.4 Inventory Management Automation
    • 4.2.5 Supplier Risk Prediction And Mitigation

5. Generative Artificial Intelligence In Supply Chain Market Analysis Of End Use Industries

  • 5.1 Retail Companies
  • 5.2 Manufacturing Firms
  • 5.3 Healthcare Providers
  • 5.4 Logistics And Transportation Companies
  • 5.5 E-Commerce Companies

6. Generative Artificial Intelligence In Supply Chain Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Generative Artificial Intelligence In Supply Chain Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Generative Artificial Intelligence In Supply Chain PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Generative Artificial Intelligence In Supply Chain Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Generative Artificial Intelligence In Supply Chain Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Generative Artificial Intelligence In Supply Chain Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Generative Artificial Intelligence In Supply Chain Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Generative Artificial Intelligence In Supply Chain Market Segmentation

  • 9.1. Global Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Solutions, Software
  • 9.2. Global Generative Artificial Intelligence In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Cloud-Based, On-Premise
  • 9.3. Global Generative Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Retail, Manufacturing, Healthcare, Other End-Users
  • 9.4. Global Generative Artificial Intelligence In Supply Chain Market, Sub-Segmentation Of Solutions, By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Supply Chain Optimization Solutions, Demand Forecasting Solutions, Inventory Management Solutions, Logistics And Transportation Solutions, Supplier Risk Management Solutions, End-to-End Visibility Solutions
  • 9.5. Global Generative Artificial Intelligence In Supply Chain Market, Sub-Segmentation Of Software, By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ 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

10. Generative Artificial Intelligence In Supply Chain Market, Industry Metrics By Country

  • 10.1. Global Generative Artificial Intelligence In Supply Chain Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global Generative Artificial Intelligence In Supply Chain Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

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

  • 11.1. Global Generative Artificial Intelligence In Supply Chain Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global Generative Artificial Intelligence In Supply Chain Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 12.1. 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
  • 12.2. Asia-Pacific Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Generative Artificial Intelligence In Supply Chain Market

  • 13.1. China Generative Artificial Intelligence In Supply Chain Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Generative Artificial Intelligence In Supply Chain Market

  • 14.1. India Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Generative Artificial Intelligence In Supply Chain Market

  • 15.1. Japan Generative Artificial Intelligence In Supply Chain Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Generative Artificial Intelligence In Supply Chain Market

  • 16.1. Australia Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Generative Artificial Intelligence In Supply Chain Market

  • 17.1. Indonesia Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Generative Artificial Intelligence In Supply Chain Market

  • 18.1. South Korea Generative Artificial Intelligence In Supply Chain Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Generative Artificial Intelligence In Supply Chain Market

  • 19.1. Taiwan Generative Artificial Intelligence In Supply Chain Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Generative Artificial Intelligence In Supply Chain Market

  • 20.1. South East Asia 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
  • 20.2. South East Asia Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Generative Artificial Intelligence In Supply Chain Market

  • 21.1. Western Europe 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
  • 21.2. Western Europe Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Generative Artificial Intelligence In Supply Chain Market

  • 22.1. UK Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Generative Artificial Intelligence In Supply Chain Market

  • 23.1. Germany Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Generative Artificial Intelligence In Supply Chain Market

  • 24.1. France Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Generative Artificial Intelligence In Supply Chain Market

  • 25.1. Italy Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Generative Artificial Intelligence In Supply Chain Market

  • 26.1. Spain Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Generative Artificial Intelligence In Supply Chain Market

  • 27.1. Eastern Europe 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
  • 27.2. Eastern Europe Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Generative Artificial Intelligence In Supply Chain Market

  • 28.1. Russia Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Generative Artificial Intelligence In Supply Chain Market

  • 29.1. North America 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
  • 29.2. North America Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Generative Artificial Intelligence In Supply Chain Market

  • 30.1. USA Generative Artificial Intelligence In Supply Chain Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Generative Artificial Intelligence In Supply Chain Market

  • 31.1. Canada Generative Artificial Intelligence In Supply Chain Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Generative Artificial Intelligence In Supply Chain Market

  • 32.1. South America 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
  • 32.2. South America Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Generative Artificial Intelligence In Supply Chain Market

  • 33.1. Brazil Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Generative Artificial Intelligence In Supply Chain Market

  • 34.1. Middle East 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
  • 34.2. Middle East Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Generative Artificial Intelligence In Supply Chain Market

  • 35.1. Africa 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
  • 35.2. Africa Generative Artificial Intelligence In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Generative Artificial Intelligence In Supply Chain Market Regulatory and Investment Landscape

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

  • 37.1. Generative Artificial Intelligence In Supply Chain Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. Generative Artificial Intelligence In Supply Chain Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. Generative Artificial Intelligence In Supply Chain Market Company Profiles
    • 37.3.1. Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. Deutsche Post AG Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis

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

  • Oracle Corporation, SAP SE, NVIDIA Corporation, Dematic Inc., PTC Inc., Teradata Corporation, Blue Yonder Inc., Manhattan Associates Inc., Logility Inc., LLamasoft Inc., Covariant Inc., FourKites Inc., ClearMetal Inc., o9 Solutions, Anaplan Inc.

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

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

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

  • 41.1. Generative Artificial Intelligence In Supply Chain Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. Generative Artificial Intelligence In Supply Chain Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. Generative Artificial Intelligence In Supply Chain Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer