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市場調查報告書
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1981224

2026年全球供應鏈產生式人工智慧市場報告

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個工作天內

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簡介目錄

近年來，供應鏈領域生成式人工智慧的市場規模呈現爆炸性成長。預計該市場規模將從2025年的5.8億美元成長到2026年的8.4億美元，複合年成長率（CAGR）高達43.8%。過去幾年成長要素包括：全球供應鏈日益複雜化、對更快交付的需求不斷成長、物流行業早期採用人工智慧、對供應鏈視覺化工具的投資增加以及對高效庫存管理的需求。

未來幾年，供應鏈領域生成式人工智慧的市場規模預計將大幅成長。到2030年，該市場規模預計將達到35.6億美元，複合年成長率（CAGR）高達43.5%。預測期內的成長要素包括生成式人工智慧模型的進步、雲端供應鏈解決方案的擴展、預測分析與機器人流程自動化（RPA）的融合、人工智慧驅動的供應商風險管理的擴展以及協作式供應鏈平台的普及。預測期內的關鍵趨勢包括人工智慧驅動的需求預測、生成式供應鏈模擬、人工智慧驅動的物流路線最佳化、自動化庫存管理以及供應商風險預測和緩解。

電子商務的興起預計將推動供應鏈中生成式人工智慧市場的成長。電子商務是指透過線上平台和行動應用程式進行的商品和服務交易。電子商務的成長得益於網路購物的日益普及、數位支付系統的進步以及網際網路接入的擴展。生成式人工智慧透過大規模數據分析，最佳化庫存管理、提高需求預測的準確性、提升物流營運效率、實現訂單處理自動化以及個人化客戶體驗，進而增強大規模。例如，根據美國政府機構國際貿易管理局 (ITA) 2023 年 11 月發布的報告，預計到 2025 年，英國消費者電子商務的銷售額將達到 2,856 億美元，佔零售市場的 36.3%，預計年均成長率為 12.6%。因此，電子商務的興起正在促進供應鏈中生成式人工智慧市場的成長。

在供應鏈生成式人工智慧市場領域，主要企業正致力於開發創新技術，例如認知解決方案，以增強預測分析並最佳化供應鏈營運。認知解決方案是利用人工智慧、機器學習和自然語言處理等先進技術，模擬人類思考過程，分析、解釋和處理複雜數據。例如，總部位於美國的供應鏈管理公司 Blue Yonder 於 2023 年 12 月發布了 Blue Yonder Orchestrator，這是一款旨在加速智慧決策和供應鏈編配的生成式人工智慧解決方案。該解決方案利用先進的人工智慧演算法來自動化和最佳化複雜的供應鏈流程，提供可操作的洞察，並透過提供即時數據分析以進行動態庫存和物流調整以及與現有供應鏈系統的無縫整合等功能來提升整體績效。

目錄

第1章：執行摘要

第2章 市場特徵

  • 市場定義和範圍
  • 市場區隔
  • 主要產品和服務概述
  • 全球供應鏈生成式人工智慧市場：吸引力評分及分析
  • 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

  • 供應鏈與生態系概述
  • 清單：主要原料、資源和供應商
  • 主要經銷商和通路合作夥伴名單
  • 主要最終用戶列表

第4章：全球市場趨勢與策略

  • 關鍵科技與未來趨勢
    • 人工智慧（AI）和自主人工智慧
    • 數位化、雲端運算、巨量資料、網路安全
    • 工業4.0和智慧製造
    • 物聯網、智慧基礎設施、互聯生態系統
    • 自主系統、機器人、智慧運輸
  • 主要趨勢
    • 人工智慧驅動的需求預測
    • 生成式供應鏈模擬
    • 人工智慧驅動的物流路線最佳化
    • 庫存管理自動化
    • 預測並降低供應商風險

第5章 終端用戶產業市場分析

  • 零售公司
  • 製造公司
  • 醫療保健提供者
  • 物流和運輸公司
  • 電子商務企業

第6章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響，以及 COVID-19 疫情對市場的影響。

第7章：全球策略分析架構、目前市場規模、市場對比及成長率分析

  • 全球供應鏈中的生成式人工智慧市場：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 全球供應鏈生成式人工智慧市場規模、對比及成長率分析
  • 全球供應鏈生成式人工智慧市場表現：規模與成長，2020-2025年
  • 全球供應鏈生成式人工智慧市場預測：規模與成長，2025-2030年，2035年預測

第8章：全球市場總規模（TAM）

第9章 市場細分

  • 按組件
  • 解決方案、軟體
  • 部署模式
  • 基於雲端，本地部署
  • 最終用戶
  • 零售、製造業、醫療保健和其他終端用戶
  • 解決方案細分（按組件）
  • 供應鏈最佳化解決方案、需求預測解決方案、庫存管理解決方案、物流和運輸解決方案、供應商風險管理解決方案、端到端可視性解決方案
  • 軟體細分（按組件）
  • 預測分析軟體、機器學習平台、機器人流程自動化 (RPA) 軟體、供應鏈管理人工智慧 (AI-SCM)、協作和通訊軟體、數據分析工具。

第10章 市場與產業指標：依國家分類

第11章 區域與國別分析

  • 全球供應鏈中的生成式人工智慧市場：按地區分類，歷史資料及預測（2020-2025年、2025-2030年、2035年）
  • 全球供應鏈中的生成式人工智慧市場：依國家分類，歷史資料及預測，2020-2025年、2025-2030年、2035年

第12章 亞太市場

第13章：中國市場

第14章：印度市場

第15章：日本市場

第16章：澳洲市場

第17章：印尼市場

第18章：韓國市場

第19章 台灣市場

第20章：東南亞市場

第21章 西歐市場

第22章英國市場

第23章：德國市場

第24章：法國市場

第25章：義大利市場

第26章：西班牙市場

第27章 東歐市場

第28章：俄羅斯市場

第29章 北美市場

第30章：美國市場

第31章：加拿大市場

第32章：南美洲市場

第33章：巴西市場

第34章 中東市場

第35章：非洲市場

第36章 市場監理與投資環境

第37章：競爭格局與公司概況

  • 供應鏈中的生成式人工智慧市場：競爭格局與市場佔有率（2024 年）
  • 供應鏈中的生成式人工智慧市場：公司估值矩陣
  • 供應鏈中的生成式人工智慧市場：公司概況
    • Amazon.com Inc.
    • Microsoft Corporation
    • Deutsche Post AG
    • Intel Corporation
    • International Business Machines Corporation

第38章 其他大型企業和創新企業

  • 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 全球市場競爭基準分析與儀錶板

第40章 重大併購

第41章 具有高市場潛力的國家、細分市場與策略

  • 2030年供應鏈中的生成式人工智慧市場：提供新機會的國家
  • 2030年供應鏈中的生成式人工智慧市場：蘊藏新機會的細分領域
  • 2030年供應鏈中的生成式人工智慧市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第42章附錄

簡介目錄
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
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  • 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