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市场调查报告书
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1970129

2026年全球供应链人工智慧市场报告

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，人工智慧在供应链领域的市场规模迅速扩张。预计该市场规模将从2025年的71.5亿美元成长到2026年的102.9亿美元，复合年增长率高达43.9%。过去几年的成长主要归因于供应链全球化、电子商务活动增加、降低库存成本的需求、业务线（ERP）系统的应用以及物流网路的扩张等因素。

预计未来几年，供应链人工智慧市场将快速成长，到2030年将达到435.3亿美元，复合年增长率（CAGR）为43.4%。预测期内的成长要素包括：注重增强供应链韧性、采用即时分析、人工智慧与机器人技术的融合、对永续物流解决方案的需求以及数位化供应链平台的扩展。预测期内的关键趋势包括：基于人工智慧的需求预测、预测性库存管理、智慧仓库自动化、供应链风险分析和自主物流优化。

预计未来几年，网路用户的快速普及将推动供应链人工智慧市场的成长。网路用户指的是过去三个月内造访过网路的个人。随着网路使用量的增加，供应链中的所有参与者将有更多机会在线上收集和共用数据，使企业能够更快、更有效率地监控库存水准、仓库营运和产品流动。这种互联互通支援人工智慧 (AI) 的应用，以预测未来的消费者需求模式，同时最大限度地降低与库存过剩和过时相关的成本。例如，根据英国GSM 协会的数据，欧洲行动网路用户数量预计将从 2024 年的 4.71 亿（渗透率 79%）成长到 2030 年的 4.94 亿（渗透率 84%），在此期间的年增长率为 4.9%。因此，网路用户渗透率的不断提高正在推动供应链人工智慧市场的扩张。

在供应链人工智慧领域，主要企业正致力于开发先进的人工智慧驱动解决方案，例如利用生成式人工智慧的互动式供应链介面，旨在增强即时决策能力、提高营运效率并支援自主供应链管理。利用生成式人工智慧（AI）的互动式供应链介面是一种利用先进AI模型，使用户能够透过自然语言与供应链数据互动的系统，从而实现即时洞察、明智决策和任务自动化。例如，2023年4月，美国软体开发公司计划发布了“Movement GPT”，这是首个旨在变革供应链管理的AI驱动型供应链助理。 Movement GPT利用生成式人工智慧，透过自然语言介面提供即时可见性、可操作的洞察和增强的运输管理，为实现自主和自癒供应链铺平了道路。

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
  • 全球供应链中的人工智慧市场：吸引力评分与分析
  • 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
    • 工业4.0和智慧製造
    • 物联网、智慧基础设施、互联生态系统
    • 数位化、云端运算、巨量资料、网路安全
    • 永续性、气候技术、循环经济
  • 主要趋势
    • 基于人工智慧的需求预测
    • 预测性库存管理
    • 智慧仓库自动化
    • 供应链风险分析
    • 自主物流优化

第五章 终端用户产业市场分析

  • 製造业
  • 零售公司
  • 汽车製造商
  • 医疗用品供应商
  • 食品和饮料公司

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）
  • 全球人工智慧市场规模、比较和成长率分析（供应链）
  • 人工智慧在全球供应链的市场表现：规模与成长，2020-2025年
  • 人工智慧在全球供应链中的市场预测：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

  • 报价
  • 硬体、软体、服务
  • 透过技术
  • 机器学习、自然语言处理、情境感知计算、电脑视觉
  • 透过使用
  • 车队管理、供应链规划、仓库管理、虚拟助理、风险管理、货运代理及其他应用
  • 最终用户
  • 汽车、航太、製造业、零售业、医疗保健业、消费品业、食品饮料业
  • 按类型细分：硬体
  • 感测器和物联网设备、边缘运算设备、机器人和自动化设备
  • 按类型细分：软体
  • 人工智慧驱动的分析平台、供应链管理软体、预测性维护软体
  • 按类型细分：服务
  • 咨询服务、整合服务、託管服务和支持

第十章各国市场/产业指标

第十一章 区域与国别分析

  • 全球供应链中的人工智慧市场：按地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年
  • 全球供应链中的人工智慧市场：按国家/地区划分，实际数据和预测数据，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

  • 人工智慧在供应链中的市场：竞争格局与市场占有率（2024 年）
  • 供应链中的人工智慧市场：公司估值矩阵
  • 供应链中的人工智慧市场：公司概况
    • Amazon.com Inc.
    • Google LLC
    • Samsung Electronics Co Ltd.
    • Microsoft Corporation
    • DHL Group

第38章 其他大型企业和创新企业

  • 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年供应链人工智慧市场：提供新机会的国家
  • 2030年供应链人工智慧市场：蕴藏新机会的细分领域
  • 2030年供应链人工智慧市场：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: IT3MAISC01_G26Q1

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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  • 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 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.
  • Delivery Format: Word, PDF or Interactive Report
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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