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封面
市場調查報告書
商品編碼
1902118

供應鏈人工智慧市場－全球產業規模、佔有率、趨勢、機會和預測，按產品、應用、最終用戶、地區和競爭格局分類，2021-2031年預測

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個工作天內

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簡介目錄

全球供應鏈人工智慧市場規模將從2025年的185.5億美元成長到2031年的1,052.9億美元，複合年成長率達33.56%。供應鏈人工智慧是指應用機器學習和預測分析技術來實現物流自動化並增強策略決策能力。

市場概覽
預測期 2027-2031
市場規模：2025年 185.5億美元
市場規模：2031年 1052.9億美元
複合年成長率：2026-2031年 33.56%
成長最快的細分市場 服務
最大的市場 北美洲

主要市場促進因素

對營運效率和成本降低日益成長的需求，是推動人工智慧融入全球物流網路的主要動力。各組織正擴大利用機器學習演算法來自動化勞動密集型流程、最佳化庫存定位並改善預測性維護計劃，從而最大限度地減少停機時間和營運浪費。

主要市場挑戰

將先進的人工智慧演算法與分散的傳統基礎設施相整合，對市場成長構成了巨大的障礙。許多供應鏈企業仍在使用過時的、各自獨立的系統，這些系統無法與現代機器學習平台有效通訊。

主要市場趨勢

生成式人工智慧的整合代表著供應鏈管理的一次變革性轉變，它超越了傳統的預測分析，實現了更高階的風險模擬和自主決策。與依賴結構化資料集的傳統系統不同，這些工具可以處理大量的非結構化訊息，例如合約和市場報告，從而產生可用於解決複雜問題的可操作方案。

目錄

第1章：產品概述

第2章：研究方法

第3章：執行概要

第4章：顧客之聲

第5章：全球供應鏈人工智慧市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 透過提供（硬體、軟體、服務）
    • 依應用領域（車隊管理、供應鏈規劃）
    • 按最終用戶（汽車、零售、其他）分類
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美供應鏈人工智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲供應鏈人工智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太地區人工智慧在供應鏈市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東和非洲供應鏈人工智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲供應鏈人工智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章：市場動態

  • 促進要素
  • 挑戰

第12章：市場趨勢與發展

  • 併購
  • 產品發布
  • 最新進展

第13章：全球供應鏈人工智慧市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商議價能力
  • 顧客的力量
  • 替代產品的威脅

第15章：競爭格局

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

第16章：策略建議

第17章調查會社について,免責事項

簡介目錄
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