2026-2030年全球供應鏈風險情報平台市場

全球供應鏈風險智慧人工智慧平台市場預計將在 2025 年至 2030 年間成長至 12.112 億美元，預測期內複合年成長率為 20.5%。

這份關於全球供應鏈風險情報人工智慧平台市場的報告提供了全面的分析，包括市場規模和預測、趨勢、成長要素、挑戰以及涵蓋約 25 家供應商的供應商分析。

本報告對當前市場狀況、最新市場趨勢和促進因素以及整體市場環境進行了最新分析。推動市場發展的因素包括地緣政治不穩定加劇、全球貿易路線中斷、對即時端到端可視性和預測分析的迫切需求，以及日益嚴格的監管合規要求和環境、社會及管治(ESG) 標準。

本研究客觀地結合了一手和二手訊息，包括主要行業相關人員的意見。報告內容涵蓋主要公司分析、全面的市場規模數據、區域細分分析以及供應商格局。報告還包含歷史數據和預測數據。

本研究指出，將生成式人工智慧融入預測性風險分析是未來幾年全球供應鏈風險智慧平台人工智慧市場成長的關鍵促進因素之一。此外，用於繪製多層供應鏈的高精度數位雙胞胎的興起，以及向自主風險緩解和自癒式供應鏈網路的轉變，預計也將產生顯著的市場需求。

目錄

第1章：執行摘要

第2章 Technavio 分析

• 分析定價、生命週期、顧客購買籃子、採用率和購買標準。
• 輸入的重要性及差異化因素
• 干擾因素
• 促進因素和挑戰的影響

第3章 市場狀況

• 市場生態系統
• 市場特徵
• 價值鏈分析

第4章 市場規模

• 市場的定義
• 市場區隔分析
• 2025年市場規模
• 市場展望，2025-2030年

第5章 市場規模與表現

• 2020-2024年全球供應鏈風險情報平台市場
• 基於組件的細分市場分析，2020-2024 年
• 2020-2024年基於技術的細分市場分析
• 2020-2024 年最終用戶細分市場分析
• 區域區隔市場分析，2020-2024 年
• 2020-2024年各國細分市場分析

第6章 定性分析

• 地緣政治衝突的影響：全球供應鏈風險情報平台市場

第7章：五力分析

第8章 市場區隔：按組件

• 比較：按組件
• 軟體
• 服務
• 硬體
• 市場機會：按組件分類

第9章 市場區隔：依技術分類

• 比較：按技術
• 機器學習
• NLP
• 電腦視覺
• 情境感知計算
• 其他
• 市場機會：依技術分類

第10章 市場區隔：依最終用戶分類

• 比較：按最終用戶
• 製造業
• 零售與電子商務
• 醫療保健和製藥
• 其他
• 市場機會：依最終用戶分類

第11章 客戶情況

第12章 區域情勢

• 區域細分
• 區域比較
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲
  • 德國
  • 英國
  • 法國
  • 義大利
  • 西班牙
  • 荷蘭
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 澳洲
  • 印尼
• 中東和非洲
  • UAE
  • 沙烏地阿拉伯
  • 南非
  • 以色列
  • 埃及
• 南美洲
  • 巴西
  • 阿根廷
  • 哥倫比亞
• 市場機會：按地區分類

第13章 促進因素、挑戰與機遇

• 市場促進因素
• 市場挑戰
• 促進因素和挑戰的影響
• 市場機遇

第14章 競爭格局

• 概述
• 競爭格局
• 混亂局面
• 產業風險

第15章 競爭分析

• 公司簡介
• 公司排名指標
• 企業市場定位
• Altana AI
• Avetta LLC
• Blue Yonder Group Inc.
• Coupa Software Inc.
• Dun and Bradstreet Holdings Inc
• EcoVadis SAS
• Everstream Analytics
• Exiger
• IBM Corp.
• Interos Inc.
• Kinaxis Inc.
• Kodiak Hub
• Moodys Corp.
• Oracle Corp.
• project44

第16章附錄

The global ai for supply chain risk intelligence platforms market is forecasted to grow by USD 1211.2 mn during 2025-2030, accelerating at a CAGR of 20.5% during the forecast period. The report on the global ai for supply chain risk intelligence platforms market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increasing geopolitical volatility and the fragmentation of global trade routes, critical necessity for real-time end-to-end visibility and predictive analytics, escalating regulatory compliance requirements and environmental social governance standards.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global ai for supply chain risk intelligence platforms market is segmented as below:

By Component

• Software
• Services
• Hardware

By Technology

• Machine learning
• NLP
• Computer vision
• Context-aware computing
• Others

By End-User

• Manufacturing
• Retail and e-commerce
• Healthcare and pharma
• Others

Geography

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • The Netherlands
• APAC
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
• Middle East and Africa
  • UAE
  • South Africa
  • Egypt
• South America
  • Brazil
  • Argentina
  • Colombia
• Rest of World (ROW)

This study identifies the integration of generative ai for prescriptive risk analytics as one of the prime reasons driving the global ai for supply chain risk intelligence platforms market growth during the next few years. Also, rise of high-fidelity digital twins for multi-tier supply chain mapping and transition toward autonomous mitigation and self-healing supply networks will lead to sizable demand in the market.

The report on the global ai for supply chain risk intelligence platforms market covers the following areas:

• Global ai for supply chain risk intelligence platforms market sizing
• Global ai for supply chain risk intelligence platforms market forecast
• Global ai for supply chain risk intelligence platforms market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global ai for supply chain risk intelligence platforms market vendors that include Altana AI, Avetta LLC, Blue Yonder Group Inc., Coupa Software Inc., Dun and Bradstreet Holdings Inc, EcoVadis SAS, Everstream Analytics, Exiger, IBM Corp., Interos Inc., Kinaxis Inc., Kodiak Hub, Moodys Corp., Oracle Corp., project44, Resilinc Corp., SAP SE, Sayari Labs Inc, Sphera Solutions Inc.. Also, the global ai for supply chain risk intelligence platforms market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Component
  • Executive Summary - Chart on Market Segmentation by Technology
  • Executive Summary - Chart on Market Segmentation by End-user
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2025
• 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

• 5.1 Global AI For Supply Chain Risk Intelligence Platforms Market 2020 - 2024
  • Historic Market Size - Data Table on Global AI For Supply Chain Risk Intelligence Platforms Market 2020 - 2024 ($ million)
• 5.2 Component segment analysis 2020 - 2024
  • Historic Market Size - Component Segment 2020 - 2024 ($ million)
• 5.3 Technology segment analysis 2020 - 2024
  • Historic Market Size - Technology Segment 2020 - 2024 ($ million)
• 5.4 End-user segment analysis 2020 - 2024
  • Historic Market Size - End-user Segment 2020 - 2024 ($ million)
• 5.5 Geography segment analysis 2020 - 2024
  • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
• 5.6 Country segment analysis 2020 - 2024
  • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

• 6.1 Impact of geopolitical conflicts on Global AI for Supply Chain Risk Intelligence Platforms Market

7 Five Forces Analysis

• 7.1 Five forces summary
  • Five forces analysis - Comparison between 2025 and 2030
• 7.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2025 and 2030
• 7.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
• 7.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2025 and 2030
• 7.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2025 and 2030
• 7.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2025 and 2030
• 7.7 Market condition

8 Market Segmentation by Component

• 8.1 Market segments
• 8.2 Comparison by Component
• 8.3 Software - Market size and forecast 2025-2030
• 8.4 Services - Market size and forecast 2025-2030
• 8.5 Hardware - Market size and forecast 2025-2030
• 8.6 Market opportunity by Component
  • Market opportunity by Component ($ million)

9 Market Segmentation by Technology

• 9.1 Market segments
• 9.2 Comparison by Technology
• 9.3 Machine learning - Market size and forecast 2025-2030
• 9.4 NLP - Market size and forecast 2025-2030
• 9.5 Computer vision - Market size and forecast 2025-2030
• 9.6 Context-aware computing - Market size and forecast 2025-2030
• 9.7 Others - Market size and forecast 2025-2030
• 9.8 Market opportunity by Technology
  • Market opportunity by Technology ($ million)

10 Market Segmentation by End-user

• 10.1 Market segments
• 10.2 Comparison by End-user
• 10.3 Manufacturing - Market size and forecast 2025-2030
• 10.4 Retail and e-commerce - Market size and forecast 2025-2030
• 10.5 Healthcare and pharma - Market size and forecast 2025-2030
• 10.6 Others - Market size and forecast 2025-2030
• 10.7 Market opportunity by End-user
  • Market opportunity by End-user ($ million)

11 Customer Landscape

• 11.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

12 Geographic Landscape

• 12.1 Geographic segmentation
• 12.2 Geographic comparison
• 12.3 North America - Market size and forecast 2025-2030
  • 12.3.1 US - Market size and forecast 2025-2030
  • 12.3.2 Canada - Market size and forecast 2025-2030
  • 12.3.3 Mexico - Market size and forecast 2025-2030
• 12.4 Europe - Market size and forecast 2025-2030
  • 12.4.1 Germany - Market size and forecast 2025-2030
  • 12.4.2 UK - Market size and forecast 2025-2030
  • 12.4.3 France - Market size and forecast 2025-2030
  • 12.4.4 Italy - Market size and forecast 2025-2030
  • 12.4.5 Spain - Market size and forecast 2025-2030
  • 12.4.6 The Netherlands - Market size and forecast 2025-2030
• 12.5 APAC - Market size and forecast 2025-2030
  • 12.5.1 China - Market size and forecast 2025-2030
  • 12.5.2 Japan - Market size and forecast 2025-2030
  • 12.5.3 India - Market size and forecast 2025-2030
  • 12.5.4 South Korea - Market size and forecast 2025-2030
  • 12.5.5 Australia - Market size and forecast 2025-2030
  • 12.5.6 Indonesia - Market size and forecast 2025-2030
• 12.6 Middle East and Africa - Market size and forecast 2025-2030
  • 12.6.1 UAE - Market size and forecast 2025-2030
  • 12.6.2 Saudi Arabia - Market size and forecast 2025-2030
  • 12.6.3 South Africa - Market size and forecast 2025-2030
  • 12.6.4 Israel - Market size and forecast 2025-2030
  • 12.6.5 Egypt - Market size and forecast 2025-2030
• 12.7 South America - Market size and forecast 2025-2030
  • 12.7.1 Brazil - Market size and forecast 2025-2030
  • 12.7.2 Argentina - Market size and forecast 2025-2030
  • 12.7.3 Colombia - Market size and forecast 2025-2030
• 12.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

13 Drivers, Challenges, and Opportunity

• 13.1 Market drivers
  • Increasing geopolitical volatility and the fragmentation of global trade routes
  • Critical necessity for real-time end-to-end visibility and predictive analytics
  • Escalating regulatory compliance requirements and environmental social governance standards
• 13.2 Market challenges
  • Data fragmentation and poor information quality across multi-tier supplier networks
  • Interoperability limitations and significant burden of legacy infrastructure
  • Algorithmic black box and growing concern regarding predictive bias
• 13.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2025 and 2030
• 13.4 Market opportunities
  • Integration of generative AI for prescriptive risk analytics
  • Rise of high-fidelity digital twins for multi-tier supply chain mapping
  • Transition toward autonomous mitigation and self-healing supply networks

14 Competitive Landscape

• 14.1 Overview
• 14.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 14.3 Landscape disruption
  • Overview on factors of disruption
• 14.4 Industry risks
  • Impact of key risks on business

15 Competitive Analysis

• 15.1 Companies profiled
  • Companies covered
• 15.2 Company ranking index
  • Company ranking index
• 15.3 Market positioning of companies
  • Matrix on companies position and classification
• 15.4 Altana AI
  • Altana AI - Overview
  • Altana AI - Product / Service
  • Altana AI - Key offerings
  • SWOT
• 15.5 Avetta LLC
  • Avetta LLC - Overview
  • Avetta LLC - Product / Service
  • Avetta LLC - Key offerings
  • SWOT
• 15.6 Blue Yonder Group Inc.
  • Blue Yonder Group Inc. - Overview
  • Blue Yonder Group Inc. - Product / Service
  • Blue Yonder Group Inc. - Key offerings
  • SWOT
• 15.7 Coupa Software Inc.
  • Coupa Software Inc. - Overview
  • Coupa Software Inc. - Product / Service
  • Coupa Software Inc. - Key offerings
  • SWOT
• 15.8 Dun and Bradstreet Holdings Inc
  • Dun and Bradstreet Holdings Inc - Overview
  • Dun and Bradstreet Holdings Inc - Business segments
  • Dun and Bradstreet Holdings Inc - Key offerings
  • Dun and Bradstreet Holdings Inc - Segment focus
  • SWOT
• 15.9 EcoVadis SAS
  • EcoVadis SAS - Overview
  • EcoVadis SAS - Product / Service
  • EcoVadis SAS - Key offerings
  • SWOT
• 15.10 Everstream Analytics
  • Everstream Analytics - Overview
  • Everstream Analytics - Product / Service
  • Everstream Analytics - Key offerings
  • SWOT
• 15.11 Exiger
  • Exiger - Overview
  • Exiger - Product / Service
  • Exiger - Key offerings
  • SWOT
• 15.12 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 15.13 Interos Inc.
  • Interos Inc. - Overview
  • Interos Inc. - Product / Service
  • Interos Inc. - Key offerings
  • SWOT
• 15.14 Kinaxis Inc.
  • Kinaxis Inc. - Overview
  • Kinaxis Inc. - Product / Service
  • Kinaxis Inc. - Key news
  • Kinaxis Inc. - Key offerings
  • SWOT
• 15.15 Kodiak Hub
  • Kodiak Hub - Overview
  • Kodiak Hub - Product / Service
  • Kodiak Hub - Key offerings
  • SWOT
• 15.16 Moodys Corp.
  • Moodys Corp. - Overview
  • Moodys Corp. - Business segments
  • Moodys Corp. - Key offerings
  • Moodys Corp. - Segment focus
  • SWOT
• 15.17 Oracle Corp.
  • Oracle Corp. - Overview
  • Oracle Corp. - Business segments
  • Oracle Corp. - Key news
  • Oracle Corp. - Key offerings
  • Oracle Corp. - Segment focus
  • SWOT
• 15.18 project44
  • project44 - Overview
  • project44 - Product / Service
  • project44 - Key offerings
  • SWOT

16 Appendix

• 16.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 16.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 16.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 16.4 Research methodology
  • Research methodology
• 16.5 Data procurement
  • Information sources
• 16.6 Data validation
  • Data validation
• 16.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 16.8 Data synthesis
  • Data synthesis
• 16.9 360 degree market analysis
  • 360 degree market analysis
• 16.10 List of abbreviations
  • List of abbreviations