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封面
市场调查报告书
商品编码
1902118

供应链人工智慧市场－全球产业规模、份额、趋势、机会和预测，按产品、应用、最终用户、地区和竞争格局划分，2021-2031年预测

Artificial Intelligence in Supply Chain Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Offering, By Application, By End-User, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 181 Pages | 商品交期: 2-3个工作天内

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简介目录

全球供应链人工智慧市场规模将从2025年的185.5亿美元成长到2031年的1,052.9亿美元，复合年增长率达33.56%。供应链人工智慧是指应用机器学习和预测分析技术来实现物流自动化并增强策略决策能力。

市场概览
预测期 2027-2031
市场规模：2025年 185.5亿美元
市场规模：2031年 1052.9亿美元
复合年增长率：2026-2031年 33.56%
成长最快的细分市场 服务
最大的市场 北美洲

主要市场驱动因素

对营运效率和成本降低日益增长的需求，是推动人工智慧融入全球物流网路的主要动力。各组织正越来越多地利用机器学习演算法来自动化劳动密集型流程、优化库存定位并改善预测性维护计划，从而最大限度地减少停机时间和营运浪费。

主要市场挑战

将先进的人工智慧演算法与分散的传统基础设施相集成，对市场成长构成了巨大的障碍。许多供应链企业仍在使用过时的、各自独立的系统，这些系统无法与现代机器学习平台有效通讯。

主要市场趋势

生成式人工智慧的整合代表着供应链管理的一次变革性转变，它超越了传统的预测分析，实现了更高阶的风险模拟和自主决策。与依赖结构化资料集的传统系统不同，这些工具可以处理大量的非结构化讯息，例如合约和市场报告，从而产生可用于解决复杂问题的可操作方案。

目录

第一章：产品概述

第二章：研究方法

第三章：执行概要

第四章：顾客之声

第五章：全球供应链人工智慧市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 透过提供（硬体、软体、服务）
    • 依应用领域（车队管理、供应链规划）
    • 按最终用户（汽车、零售、其他）划分
    • 按地区
    • 按公司（2025 年）
  • 市场地图

第六章：北美供应链人工智慧市场展望

  • 市场规模及预测
  • 市占率及预测
  • 北美洲：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第七章：欧洲供应链人工智慧市场展望

  • 市场规模及预测
  • 市占率及预测
  • 欧洲：国家分析
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙

第八章：亚太地区人工智慧在供应链市场展望

  • 市场规模及预测
  • 市占率及预测
  • 亚太地区：国家分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

第九章：中东和非洲供应链人工智慧市场展望

  • 市场规模及预测
  • 市占率及预测
  • 中东和非洲：国家分析
    • 沙乌地阿拉伯
    • 阿联酋
    • 南非

第十章：南美洲供应链人工智慧市场展望

  • 市场规模及预测
  • 市占率及预测
  • 南美洲：国家分析
    • 巴西
    • 哥伦比亚
    • 阿根廷

第十一章：市场动态

  • 司机
  • 挑战

第十二章：市场趋势与发展

  • 併购
  • 产品发布
  • 最新进展

第十三章：全球供应链人工智慧市场：SWOT分析

第十四章：波特五力分析

  • 产业竞争
  • 新进入者的潜力
  • 供应商议价能力
  • 顾客的力量
  • 替代产品的威胁

第十五章：竞争格局

  • IBM Corporation
  • SAP SE
  • Oracle Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc.
  • Google LLC
  • Cisco Systems, Inc
  • Intel Corporation
  • Accenture plc
  • Kinaxis Inc

第十六章：策略建议

第17章调查会社について・免责事项

简介目录
Product Code: 18896

The Global Artificial Intelligence in Supply Chain Market will grow from USD 18.55 Billion in 2025 to USD 105.29 Billion by 2031 at a 33.56% CAGR. Artificial intelligence in the supply chain refers to the application of machine learning and predictive analytics to automate logistics and enhance strategic decision-making.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 18.55 Billion
Market Size 2031USD 105.29 Billion
CAGR 2026-203133.56%
Fastest Growing SegmentServices
Largest MarketNorth America

Key Market Drivers

The rising demand for operational efficiency and cost reduction acts as a primary catalyst for the integration of artificial intelligence within global logistics networks. Organizations are increasingly leveraging machine learning algorithms to automate labor-intensive processes, optimize inventory positioning, and refine predictive maintenance schedules, thereby minimizing downtime and operational waste.

Key Market Challenges

The integration of advanced artificial intelligence algorithms with fragmented legacy infrastructure presents a formidable barrier to market growth. Many supply chain organizations operate on outdated, siloed systems that cannot effectively communicate with modern machine learning platforms. This incompatibility leads to severe data quality issues, as disparate sources generate unstructured or inconsistent information that AI models cannot process accurately. Consequently, companies struggle to derive the actionable insights necessary for predictive analytics, rendering their investment in intelligent automation less effective and slowing the overall pace of digital transformation.

Key Market Trends

The integration of Generative AI represents a transformative shift in supply chain management, moving beyond traditional predictive analytics to enable advanced risk simulation and autonomous decision-making. Unlike legacy systems that rely on structured datasets, these tools can process vast amounts of unstructured information, such as contracts and market reports, to generate actionable scenarios for complex problem-solving. This capability allows organizations to simulate potential disruptions and automatically generate mitigation strategies, significantly reducing the reliance on manual contingency planning.

Key Market Players

  • IBM Corporation
  • SAP SE
  • Oracle Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc.
  • Google LLC
  • Cisco Systems, Inc
  • Intel Corporation
  • Accenture plc
  • Kinaxis Inc

Report Scope:

In this report, the Global Artificial Intelligence in Supply Chain Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Artificial Intelligence in Supply Chain Market, By Offering:

  • Hardware
  • Software
  • Services

Artificial Intelligence in Supply Chain Market, By Application:

  • Fleet Management
  • Supply Chain Planning

Artificial Intelligence in Supply Chain Market, By End-User:

  • Automotive
  • Retail
  • Others

Artificial Intelligence in Supply Chain Market, By Region:

  • North America
  • United States
  • Canada
  • Mexico
  • Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • South America
  • Brazil
  • Argentina
  • Colombia
  • Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Artificial Intelligence in Supply Chain Market.

Available Customizations:

Global Artificial Intelligence in Supply Chain Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Artificial Intelligence in Supply Chain Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Offering (Hardware, Software, Services)
    • 5.2.2. By Application (Fleet Management, Supply Chain Planning)
    • 5.2.3. By End-User (Automotive, Retail, Others)
    • 5.2.4. By Region
    • 5.2.5. By Company (2025)
  • 5.3. Market Map

6. North America Artificial Intelligence in Supply Chain Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Offering
    • 6.2.2. By Application
    • 6.2.3. By End-User
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Artificial Intelligence in Supply Chain Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Offering
        • 6.3.1.2.2. By Application
        • 6.3.1.2.3. By End-User
    • 6.3.2. Canada Artificial Intelligence in Supply Chain Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Offering
        • 6.3.2.2.2. By Application
        • 6.3.2.2.3. By End-User
    • 6.3.3. Mexico Artificial Intelligence in Supply Chain Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Offering
        • 6.3.3.2.2. By Application
        • 6.3.3.2.3. By End-User

7. Europe Artificial Intelligence in Supply Chain Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Offering
    • 7.2.2. By Application
    • 7.2.3. By End-User
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Artificial Intelligence in Supply Chain Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Offering
        • 7.3.1.2.2. By Application
        • 7.3.1.2.3. By End-User
    • 7.3.2. France Artificial Intelligence in Supply Chain Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Offering
        • 7.3.2.2.2. By Application
        • 7.3.2.2.3. By End-User
    • 7.3.3. United Kingdom Artificial Intelligence in Supply Chain Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Offering
        • 7.3.3.2.2. By Application
        • 7.3.3.2.3. By End-User
    • 7.3.4. Italy Artificial Intelligence in Supply Chain Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Offering
        • 7.3.4.2.2. By Application
        • 7.3.4.2.3. By End-User
    • 7.3.5. Spain Artificial Intelligence in Supply Chain Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Offering
        • 7.3.5.2.2. By Application
        • 7.3.5.2.3. By End-User

8. Asia Pacific Artificial Intelligence in Supply Chain Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Offering
    • 8.2.2. By Application
    • 8.2.3. By End-User
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Artificial Intelligence in Supply Chain Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Offering
        • 8.3.1.2.2. By Application
        • 8.3.1.2.3. By End-User
    • 8.3.2. India Artificial Intelligence in Supply Chain Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Offering
        • 8.3.2.2.2. By Application
        • 8.3.2.2.3. By End-User
    • 8.3.3. Japan Artificial Intelligence in Supply Chain Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Offering
        • 8.3.3.2.2. By Application
        • 8.3.3.2.3. By End-User
    • 8.3.4. South Korea Artificial Intelligence in Supply Chain Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Offering
        • 8.3.4.2.2. By Application
        • 8.3.4.2.3. By End-User
    • 8.3.5. Australia Artificial Intelligence in Supply Chain Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Offering
        • 8.3.5.2.2. By Application
        • 8.3.5.2.3. By End-User

9. Middle East & Africa Artificial Intelligence in Supply Chain Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Offering
    • 9.2.2. By Application
    • 9.2.3. By End-User
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Artificial Intelligence in Supply Chain Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Offering
        • 9.3.1.2.2. By Application
        • 9.3.1.2.3. By End-User
    • 9.3.2. UAE Artificial Intelligence in Supply Chain Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Offering
        • 9.3.2.2.2. By Application
        • 9.3.2.2.3. By End-User
    • 9.3.3. South Africa Artificial Intelligence in Supply Chain Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Offering
        • 9.3.3.2.2. By Application
        • 9.3.3.2.3. By End-User

10. South America Artificial Intelligence in Supply Chain Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Offering
    • 10.2.2. By Application
    • 10.2.3. By End-User
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Artificial Intelligence in Supply Chain Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Offering
        • 10.3.1.2.2. By Application
        • 10.3.1.2.3. By End-User
    • 10.3.2. Colombia Artificial Intelligence in Supply Chain Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Offering
        • 10.3.2.2.2. By Application
        • 10.3.2.2.3. By End-User
    • 10.3.3. Argentina Artificial Intelligence in Supply Chain Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Offering
        • 10.3.3.2.2. By Application
        • 10.3.3.2.3. By End-User

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Artificial Intelligence in Supply Chain Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. IBM Corporation
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. SAP SE
  • 15.3. Oracle Corporation
  • 15.4. Microsoft Corporation
  • 15.5. Amazon Web Services, Inc.
  • 15.6. Google LLC
  • 15.7. Cisco Systems, Inc
  • 15.8. Intel Corporation
  • 15.9. Accenture plc
  • 15.10. Kinaxis Inc

16. Strategic Recommendations

17. About Us & Disclaimer