2026年全球供應鏈人工智慧市場報告

近年來，人工智慧在供應鏈領域的市場規模迅速擴張。預計該市場規模將從2025年的71.5億美元成長到2026年的102.9億美元，複合年成長率高達43.9%。過去幾年的成長主要歸因於供應鏈全球化、電子商務活動增加、降低庫存成本的需求、業務線（ERP）系統的應用以及物流網路的擴張等因素。

預計未來幾年，供應鏈人工智慧市場將快速成長，到2030年將達到435.3億美元，複合年成長率（CAGR）為43.4%。預測期內的成長要素包括：注重增強供應鏈韌性、採用即時分析、人工智慧與機器人技術的融合、對永續物流解決方案的需求以及數位化供應鏈平台的擴展。預測期內的關鍵趨勢包括：基於人工智慧的需求預測、預測性庫存管理、智慧倉庫自動化、供應鏈風險分析和自主物流最佳化。

預計未來幾年，網路用戶的快速普及將推動供應鏈人工智慧市場的成長。網路用戶指的是過去三個月內造訪過網路的個人。隨著網路使用量的增加，供應鏈中的所有參與者將有更多機會在線上收集和共用數據，使企業能夠更快、更有效率地監控庫存水準、倉庫營運和產品流動。這種互聯互通支援人工智慧 (AI) 的應用，以預測未來的消費者需求模式，同時最大限度地降低與庫存過剩和過時相關的成本。例如，根據英國GSM 協會的數據，歐洲行動網路用戶數量預計將從 2024 年的 4.71 億（滲透率 79%）成長到 2030 年的 4.94 億（滲透率 84%），在此期間的年成長率為 4.9%。因此，網路用戶滲透率的不斷提高正在推動供應鏈人工智慧市場的擴張。

在供應鏈人工智慧領域，主要企業正致力於開發先進的人工智慧驅動解決方案，例如利用生成式人工智慧的互動式供應鏈介面，旨在增強即時決策能力、提高營運效率並支援自主供應鏈管理。利用生成式人工智慧（AI）的互動式供應鏈介面是一種利用先進AI模型，使用戶能夠透過自然語言與供應鏈數據互動的系統，從而實現即時洞察、明智決策和任務自動化。例如，2023年4月，美國軟體開發公司計劃發布了“Movement GPT”，這是首個旨在變革供應鏈管理的AI驅動型供應鏈助理。 Movement GPT利用生成式人工智慧，透過自然語言介面提供即時可見性、可操作的洞察和增強的運輸管理，為實現自主和自癒供應鏈鋪平了道路。

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
• 全球供應鏈中的人工智慧市場：吸引力評分與分析
• 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
  • 工業4.0和智慧製造
  • 物聯網、智慧基礎設施、互聯生態系統
  • 數位化、雲端運算、巨量資料、網路安全
  • 永續性、氣候技術、循環經濟
• 主要趨勢
  • 基於人工智慧的需求預測
  • 預測性庫存管理
  • 智慧倉庫自動化
  • 供應鏈風險分析
  • 自主物流最佳化

第5章 終端用戶產業市場分析

• 製造業
• 零售公司
• 汽車製造商
• 醫療用品供應商
• 食品和飲料公司

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）
• 全球人工智慧市場規模、比較和成長率分析（供應鏈）
• 人工智慧在全球供應鏈的市場表現：規模與成長，2020-2025年
• 人工智慧在全球供應鏈中的市場預測：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

• 報價
• 硬體、軟體、服務
• 透過技術
• 機器學習、自然語言處理、情境感知計算、電腦視覺
• 透過使用
• 車隊管理、供應鏈規劃、倉庫管理、虛擬助理、風險管理、貨運代理及其他應用
• 最終用戶
• 汽車、航太、製造業、零售業、醫療保健業、消費品業、食品飲料業
• 按類型細分：硬體
• 感測器和物聯網設備、邊緣運算設備、機器人和自動化設備
• 按類型細分：軟體
• 人工智慧驅動的分析平台、供應鏈管理軟體、預測性維護軟體
• 按類型細分：服務
• 諮詢服務、整合服務、託管服務和支持

第10章各國市場/產業指標

第11章 區域與國別分析

• 全球供應鏈中的人工智慧市場：按地區分類，實際數據和預測數據，2020-2025年、2025-2030年、2035年
• 全球供應鏈中的人工智慧市場：按國家/地區分類，實際數據和預測數據，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

• 人工智慧在供應鏈中的市場：競爭格局與市場佔有率（2024 年）
• 供應鏈中的人工智慧市場：公司估值矩陣
• 供應鏈中的人工智慧市場：公司概況
  • Amazon.com Inc.
  • Google LLC
  • Samsung Electronics Co Ltd.
  • Microsoft Corporation
  • DHL Group

第38章 其他大型企業和創新企業

• FedEx Corporation, General Electric Company, Intel Corporation, The International Business Machines Corp, Oracle Corporation, SAP SE, NVIDIA Corporation, CH Robinson Worldwide Inc., Havi Logistics AS, Cainiao Smart Logistics Network Limited, Zebra Technologies Corporation, Flexport Inc., Echo Global Logistics Inc., Epicor Software Corporation, Blue Yonder 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年供應鏈人工智慧市場：提供新機會的國家
• 2030年供應鏈人工智慧市場：蘊藏新機會的細分領域
• 2030年供應鏈人工智慧市場：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

Artificial intelligence in the supply chain involves the application of human intelligence simulation mechanisms to organize and analyze extensive amounts of supply chain information, identify trends, and forecast future issues. This technology is utilized for inventory optimization and shortage management.

The main types of artificial intelligence in supply chain offerings include hardware, software, and services. Hardware refers to the physical components of a computer or delivery mechanisms that store and execute instructions provided by the software. Various technologies, such as machine learning, natural language processing, context-aware computing, and computer vision, are applied in areas such as fleet management, supply chain planning, warehouse management, virtual assistant systems, risk management, freight brokerage, and others. End-users of AI in the supply chain span across industries such as automotive, aerospace, manufacturing, retail, healthcare, consumer-packaged goods, and food and beverages.

Tariffs have impacted the artificial intelligence in supply chain market by increasing costs of imported sensors, automation equipment, and edge computing devices. Hardware-intensive segments such as warehouse automation and logistics optimization are most affected, especially in manufacturing-driven regions. Higher costs can slow automation investments for small and mid-sized enterprises. However, tariffs are driving greater adoption of software-based optimization and predictive analytics solutions. This transition is enhancing flexibility and long-term operational efficiency.

The artificial intelligence in supply chain market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence in supply chain market statistics, including artificial intelligence in supply chain industry global market size, regional shares, competitors with a artificial intelligence in supply chain market share, detailed artificial intelligence in supply chain market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in supply chain industry. This 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 artificial intelligence in supply chain market size has grown exponentially in recent years. It will grow from $7.15 billion in 2025 to $10.29 billion in 2026 at a compound annual growth rate (CAGR) of 43.9%. The growth in the historic period can be attributed to globalization of supply chains, rising ecommerce activities, need for inventory cost reduction, adoption of enterprise resource planning systems, growth of logistics networks.

The artificial intelligence in supply chain market size is expected to see exponential growth in the next few years. It will grow to $43.53 billion in 2030 at a compound annual growth rate (CAGR) of 43.4%. The growth in the forecast period can be attributed to focus on supply chain resilience, adoption of real-time analytics, integration of AI with robotics, demand for sustainable logistics solutions, expansion of digital supply chain platforms. Major trends in the forecast period include ai-based demand forecasting, predictive inventory management, intelligent warehouse automation, supply chain risk analytics, autonomous logistics optimization.

The rapid increase in internet user penetration is expected to drive the growth of artificial intelligence in the supply chain market in the coming years. Internet users are defined as individuals who have accessed the web within the past three months. As internet usage expands, data is increasingly collected and shared online among all supply chain participants, enabling businesses to monitor inventory levels, warehouse operations, and product movement more quickly and efficiently. This connectivity supports the use of artificial intelligence (AI) to forecast future consumer demand patterns while minimizing the costs associated with excess or unwanted inventory. For instance, in January 2025, according to the GSM Association, a UK-based trade association, mobile internet users in Europe are projected to rise from 471 million (79% penetration) in 2024 to 494 million (84%) by 2030, reflecting a 4.9% increase in user numbers over the period. Therefore, the growing penetration of internet users is fueling the expansion of artificial intelligence in the supply chain market.

Major companies operating in the artificial intelligence (AI) in the supply chain market are concentrating on developing advanced AI-driven solutions, such as generative AI-powered conversational supply chain interfaces, to strengthen real-time decision-making, enhance operational efficiency, and support autonomous supply chain management. A generative artificial intelligence (AI)-powered conversational supply chain interface is a system that leverages advanced AI models to allow users to interact with supply chain data using natural language, enabling real-time insights, informed decision-making, and task automation. For example, in April 2023, project44, a US-based software development company, introduced Movement GPT, the first AI-powered supply chain assistant aimed at transforming supply chain management. By applying generative AI, Movement GPT offers a natural language interface that delivers real-time visibility, actionable insights, and improved control over shipments, paving the way for an autonomous and self-healing supply chain.

In March 2024, Apple Inc., a US-based technology company, acquired DarwinAI for an undisclosed amount. Through this acquisition, Apple seeks to enhance its AI infrastructure by incorporating DarwinAI's advanced computer vision technologies into its manufacturing and supply chain operations to improve production efficiency and reliability. DarwinAI is a Canada-based software company that delivers explainable artificial intelligence (AI)-powered visual quality inspection solutions for manufacturing and supply chain operations.

Major companies operating in the artificial intelligence in supply chain market are Amazon.com Inc.; Google LLC; Samsung Electronics Co Ltd.; Microsoft Corporation; DHL Group; FedEx Corporation; General Electric Company; Intel Corporation; The International Business Machines Corp; Oracle Corporation; SAP SE; NVIDIA Corporation; C.H. Robinson Worldwide Inc.; Havi Logistics AS; Cainiao Smart Logistics Network Limited; Zebra Technologies Corporation; Flexport Inc.; Echo Global Logistics Inc.; Epicor Software Corporation; Blue Yonder Inc.; Symbotic LLC; E2open LLC.; C3.AI Inc; Relex Solutions Private Limited; DataRobot Inc; Splice Machine Inc.; Covariant Inc; Llamasoft Inc.

North America was the largest region in the 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 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 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 artificial intelligence in supply chain market consists of revenues earned by entities through route optimization, predictive maintenance, and supplier management. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in supply chain market also includes sales of warehouse robots, digital workers, and autonomous vehicles that are used in providing artificial intelligence in supply chain services. 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.

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 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 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 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 Offering: Hardware; Software; Services
• 2) By Technology: Machine Learning; Natural Language Processing; Context-Aware Computing; Computer Vision
• 3) By Application: Fleet Management; Supply Chain Planning; Warehouse Management; Virtual Assistant; Risk Management; Freight Brokerage; Other Applications
• 4) By End-User: Automotive; Aerospace; Manufacturing; Retail; Healthcare; Consumer-Packaged Goods; Food And Beverages
• Subsegments:
• 1) By Hardware: Sensors And IoT Devices; Edge Computing Devices; Robotics And Automation Equipment
• 2) By Software: AI-Powered Analytics Platforms; Supply Chain Management Software; Predictive Maintenance Software
• 3) By Services: Consulting Services; Integration Services; Managed Services And Support
• Companies Mentioned: Amazon.com Inc.; Google LLC; Samsung Electronics Co Ltd.; Microsoft Corporation; DHL Group; FedEx Corporation; General Electric Company; Intel Corporation; The International Business Machines Corp; Oracle Corporation; SAP SE; NVIDIA Corporation; C.H. Robinson Worldwide Inc.; Havi Logistics AS; Cainiao Smart Logistics Network Limited; Zebra Technologies Corporation; Flexport Inc.; Echo Global Logistics Inc.; Epicor Software Corporation; Blue Yonder Inc.; Symbotic LLC; E2open LLC.; C3.AI Inc; Relex Solutions Private Limited; DataRobot Inc; Splice Machine Inc.; Covariant Inc; Llamasoft Inc.
• 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.
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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. 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 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. 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 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 Industry 4.0 & Intelligent Manufacturing
  • 4.1.3 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
  • 4.1.4 Digitalization, Cloud, Big Data & Cybersecurity
  • 4.1.5 Sustainability, Climate Tech & Circular Economy
• 4.2. Major Trends
  • 4.2.1 Ai-Based Demand Forecasting
  • 4.2.2 Predictive Inventory Management
  • 4.2.3 Intelligent Warehouse Automation
  • 4.2.4 Supply Chain Risk Analytics
  • 4.2.5 Autonomous Logistics Optimization

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

• 5.1 Manufacturing Companies
• 5.2 Retail Enterprises
• 5.3 Automotive Companies
• 5.4 Healthcare Supply Providers
• 5.5 Food And Beverage Companies

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

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

8. Global 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. Artificial Intelligence In Supply Chain Market Segmentation

• 9.1. Global Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Hardware, Software, Services
• 9.2. Global Artificial Intelligence In Supply Chain Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision
• 9.3. Global Artificial Intelligence In Supply Chain Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Risk Management, Freight Brokerage, Other Applications
• 9.4. Global Artificial Intelligence In Supply Chain Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Automotive, Aerospace, Manufacturing, Retail, Healthcare, Consumer-Packaged Goods, Food And Beverages
• 9.5. Global Artificial Intelligence In Supply Chain Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Sensors And IoT Devices, Edge Computing Devices, Robotics And Automation Equipment
• 9.6. Global Artificial Intelligence In Supply Chain Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• AI-Powered Analytics Platforms, Supply Chain Management Software, Predictive Maintenance Software
• 9.7. Global Artificial Intelligence In Supply Chain Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Consulting Services, Integration Services, Managed Services And Support

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

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

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

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

12. Asia-Pacific Artificial Intelligence In Supply Chain Market

• 12.1. Asia-Pacific 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 Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Artificial Intelligence In Supply Chain Market

• 13.1. China 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 Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Artificial Intelligence In Supply Chain Market

• 14.1. India Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Artificial Intelligence In Supply Chain Market

• 15.1. Japan 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 Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Artificial Intelligence In Supply Chain Market

• 16.1. Australia Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Artificial Intelligence In Supply Chain Market

• 17.1. Indonesia Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Artificial Intelligence In Supply Chain Market

• 18.1. South Korea 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 Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Artificial Intelligence In Supply Chain Market

• 19.1. Taiwan 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 Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Artificial Intelligence In Supply Chain Market

• 20.1. South East Asia 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 Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Artificial Intelligence In Supply Chain Market

• 21.1. Western Europe 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 Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Artificial Intelligence In Supply Chain Market

• 22.1. UK Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Artificial Intelligence In Supply Chain Market

• 23.1. Germany Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Artificial Intelligence In Supply Chain Market

• 24.1. France Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Artificial Intelligence In Supply Chain Market

• 25.1. Italy Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Artificial Intelligence In Supply Chain Market

• 26.1. Spain Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Artificial Intelligence In Supply Chain Market

• 27.1. Eastern Europe 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 Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Artificial Intelligence In Supply Chain Market

• 28.1. Russia Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Artificial Intelligence In Supply Chain Market

• 29.1. North America 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 Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Artificial Intelligence In Supply Chain Market

• 30.1. USA 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 Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Artificial Intelligence In Supply Chain Market

• 31.1. Canada 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 Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Artificial Intelligence In Supply Chain Market

• 32.1. South America 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 Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Artificial Intelligence In Supply Chain Market

• 33.1. Brazil Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Artificial Intelligence In Supply Chain Market

• 34.1. Middle East 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 Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Artificial Intelligence In Supply Chain Market

• 35.1. Africa 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 Artificial Intelligence In Supply Chain Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

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

• 37.1. Artificial Intelligence In Supply Chain Market Competitive Landscape And Market Share 2024
  • 37.1.1. Top 10 Companies (Ranked by revenue/share)
• 37.2. 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. 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. Google LLC Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.3. Samsung Electronics Co Ltd. Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.4. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.5. DHL Group Overview, Products and Services, Strategy and Financial Analysis

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

• FedEx Corporation, General Electric Company, Intel Corporation, The International Business Machines Corp, Oracle Corporation, SAP SE, NVIDIA Corporation, C.H. Robinson Worldwide Inc., Havi Logistics AS, Cainiao Smart Logistics Network Limited, Zebra Technologies Corporation, Flexport Inc., Echo Global Logistics Inc., Epicor Software Corporation, Blue Yonder Inc.

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

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

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

• 41.1. Artificial Intelligence In Supply Chain Market In 2030 - Countries Offering Most New Opportunities
• 41.2. Artificial Intelligence In Supply Chain Market In 2030 - Segments Offering Most New Opportunities
• 41.3. 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