查看購物車
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
2121673

供應鏈巨量資料分析：市場佔有率分析、產業趨勢與統計、成長預測（2026-2031）

Supply Chain Big Data Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026 - 2031)
出版日期: | 出版商: Mordor Intelligence | 英文 121 Pages | 商品交期: 2-3個工作天內

價格

※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

簡介目錄

根據 Mordor Intelligence 預測，供應鏈巨量資料分析市場規模將從 2025 年的 111 億美元成長到 2026 年的 132 億美元，到 2031 年將達到 314.4 億美元，2026 年至 2031 年的複合年成長率為 18.95%。

供應鏈巨量資料分析-市場-IMG1

本報告按組件（解決方案、服務）、最終用戶行業（零售、運輸物流、製造、醫療保健及其他最終用戶行業）、部署模式（本地部署、雲端部署）和地區進行細分。市場預測以價值（美元）表示。

全球供應鏈巨量資料分析市場趨勢與洞察

全通路策略的複雜性正在迅速增加

零售商需要同時管理實體店、電商平台、市場和直銷通路的銷售流程，產生Petabyte數據，需要即時庫存管理演算法。沃爾瑪和塔吉特每天分別處理超過Petabyte的供應數據，這促使他們採用整合規劃平台，以同步需求訊號並將缺貨率降低30-40%。

物聯網遙測技術在物流領域的普及

2024年，物流業者將部署超過12億台物聯網設備，每台設備每分鐘傳輸25至30個資料點。先進的分析技術將使他們能夠預測設備故障，透過即時路線最佳化來最佳化燃油消耗，並確保冷鏈完整性，從而降低20%至30%的維護成本，並使溫度敏感貨物的合規率達到95%。

整合和數據品質挑戰

企業同時運行 15 到 25 個架構不相容的舊有系統，導致整合延遲 6 到 12 個月，迫使團隊在實現價值之前，將高達 60% 的分析預算用於資料清洗。重複記錄、缺失值、命名規則不一致和資訊過時等資料品質問題會使分析準確率降低 20% 到 30%。這會削弱人們對預測模型和指導性建議的信心。

細分市場分析

透過將採購計畫、製造分析和運輸最佳化整合到一個統一的套件中，解決方案領域預計到2025年將佔據供應鏈巨量資料分析市場61.55%的佔有率。隨著現場感測器與預測模型的整合，工業4.0計劃正在推動對製造分析模組的需求成長。同樣，電子商務成長帶來的「最後一公里」配送激增也推動了對運輸工具的需求成長。

隨著企業轉向系統整合商尋求資料遷移、模型校準和全天候支持，服務領域正以19.32%的複合年成長率成長。混合雲端和生成式人工智慧工作負載的日益複雜化，也加劇了軟體包與客戶客製化需求之間的差距。

區域分析

北美憑藉其在數位孿生試點計畫上的早期應用和成熟的雲端環境，預計到2025年將繼續保持領先地位，佔據供應鏈巨量資料分析市場42.40%的佔有率。美國製造商正將分析技術擴展到位於墨西哥的近岸工廠，以提高產品品質和產量；而加拿大能源公司則透過預測模型最佳化管道維護。

亞太地區正以21.15%的複合年成長率成長。在中國，需要高速分析的智慧工廠部署和跨境電商走廊的投資正在穩步推進。在印度，零售和製藥業的應用案例正在加速成長；而在日本和韓國，人工智慧驅動的調度正在最佳化汽車和電子產品供應鏈。政府獎勵和雲端原生新創企業的湧現降低了實施成本。

在歐洲，即使在嚴格的永續性和資料隱私法規下，人工智慧的應用仍在穩步推進。德國汽車和機械出口商正利用工廠層級的分析來維持全球競爭力。英國零售商正在使用人工智慧驅動的需求預測工具來應對消費者情緒的波動，而歐盟範圍內的可追溯性立法正在推動對基於區塊鏈的可視化平台的投資。

其他好處：

  • Excel格式的市場預測（ME）表
  • 3個月的分析師支持

目錄

第1章：引言

  • 研究假設和市場定義
  • 調查範圍

第2章：調查方法

第3章執行摘要

第4章 市場狀況

  • 市場概覽
  • 市場促進因素
    • 全通路策略複雜性的快速成長
    • 物聯網遙測技術在物流領域的普及
    • 降低雲端資料倉儲成本
    • 監理機關為實現供應鏈可追溯性所做的努力
    • 數位孿生控制塔的興起
    • 最佳化與排碳權掛鉤的貨運
  • 市場限制因素
    • 整合和數據品質挑戰
    • 分析專業人員短缺
    • 即時串流堆疊的總擁有成本 (TCO) 很高。
    • 網路保險免責聲明，涉及未授權存取資料湖。
  • 價值鏈分析
  • 監理情勢
  • 技術展望
  • 波特五力分析
  • 評估宏觀經濟對市場的影響

第5章 市場規模與成長預測

  • 按組件
    • 解決方案
      • 供應鏈採購與規劃工具
      • 銷售和業務規劃
      • 製造分析
      • 運輸/物流分析
      • 庫存規劃與最佳化
    • 服務
      • 專業服務
      • 支援與維護
  • 按最終用戶行業分類
    • 零售
    • 運輸/物流
    • 製造業
    • 衛生保健
    • 其他終端用戶產業（消費品、能源和公共產業等）
  • 按部署模式
    • 現場
    • 雲
  • 按地區
    • 北美洲
      • 美國
      • 加拿大
      • 墨西哥
    • 南美洲
      • 巴西
      • 阿根廷
      • 其他南美國家
    • 歐洲
      • 英國
      • 德國
      • 法國
      • 義大利
      • 其他歐洲國家
    • 亞太地區
      • 中國
      • 日本
      • 韓國
      • 印度
      • 其他亞太國家
    • 中東和非洲
      • 阿拉伯聯合大公國
      • 沙烏地阿拉伯
      • 南非
      • 其他中東和非洲國家

第6章 競爭情勢

  • 市場集中度
  • 策略趨勢
  • 市佔率分析
  • 公司簡介
    • SAP SE
    • IBM Corporation
    • Oracle Corporation
    • Microsoft Corporation
    • Amazon Web Services, Inc.
    • Google LLC（Looker）
    • Salesforce Inc.（Tableau Software Inc.）
    • SAS Institute Inc.
    • MicroStrategy Inc.
    • Kinaxis Inc.
    • Genpact Ltd.
    • Blue Yonder Inc.
    • Manhattan Associates
    • Infor Inc.
    • Qlik Techology Inc.
    • Alteryx Inc.
    • Snowflake Inc.
    • Sage Clarity Systems
    • Capgemini SE
    • Birst Inc.

第7章 市場機會與未來展望

簡介目錄
Product Code: 53713

According to Mordor Intelligence, the supply chain big data analytics market size is expected to grow from USD 11.10 billion in 2025 to USD 13.20 billion in 2026 and is forecast to reach USD 31.44 billion by 2031 at 18.95% CAGR over 2026-2031.

Supply Chain Big Data Analytics - Market - IMG1

This report is Segmented by Component (Solution, Service), End User Industry (Retail, Transportation and Logistics, Manufacturing, Healthcare, Other End-User Industries), Deployment Model (On-Premise, Cloud), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Supply Chain Big Data Analytics Market Trends and Insights

Surging Omni-Channel Complexity

Retailers manage store, e-commerce, marketplace, and direct-to-consumer flows simultaneously, generating multi-petabyte data volumes that require real-time inventory algorithms. Walmart and Target each process more than 2.5 petabytes of supply data daily, prompting adoption of integrated planning platforms that synchronize demand signals and cut out-of-stock incidents by 30-40% .

Proliferation of IoT Telemetry in Logistics

Logistics operators deployed more than 1.2 billion IoT devices in 2024, each sending 25-30 data points per minute. Advanced analytics predicts equipment failures, optimizes fuel through live routing, and assures cold-chain integrity, delivering 20-30% maintenance cost cuts and 95% compliance for temperature-sensitive freight.

Integration and Data-Quality Hurdles

Enterprises juggle 15-25 legacy systems with incompatible schemas, leading to six-to-twelve-month integration delays and forcing teams to spend up to 60% of analytics budgets on data cleansing before realizing value . Data quality issues, such as duplicate records, missing values, inconsistent naming conventions, and outdated information, can diminish analytics accuracy by 20-30%. This undermines confidence in both predictive models and prescriptive recommendations.

Other drivers and restraints analyzed in the detailed report include:

  1. Falling Cloud Data-Warehouse Costs
  2. Regulatory Push for Supply-Chain Traceability
  3. Shortage of Analytics Talent

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Solutions captured 61.55% of the supply chain big data analytics market share in 2025 by bundling procurement planning, manufacturing analytics, and transportation optimization into unified suites. Manufacturing analytics modules gain traction as Industry 4.0 initiatives link shop-floor sensors to predictive models. Transportation tools are equally in demand as e-commerce growth multiplies last-mile deliveries.

The services segment grows at a 19.32% CAGR as enterprises call on system integrators for data migration, model calibration, and round-the-clock support. Hybrid cloud and generative-AI workloads amplify complexity, widening the gap between packaged software and client customization needs.

Complete Report Scope:

  • By Component
    • Solution
      • Supply-Chain Procurement and Planning Tools
      • Sales and Operations Planning
      • Manufacturing Analytics
      • Transportation and Logistics Analytics
      • Inventory Planning and Optimization
    • Service
      • Professional Services
      • Support and Maintenance
  • By End User Industry
    • Retail
    • Transportation and Logistics
    • Manufacturing
    • Healthcare
    • Other end-user Industries (Consumer-Packaged Goods, Energy and Ultilities, etc.)
  • By Deployment Model
    • On-premise
    • Cloud
  • By Geography
    • North America
      • United States
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Rest of South America
    • Europe
      • United Kingdom
      • Germany
      • France
      • Italy
      • Rest of Europe
    • Asia Pacific
      • China
      • Japan
      • South Korea
      • India
      • Rest of Asia Pacific
    • Middle East and Africa
      • United Arab Emirates
      • Saudi Arabia
      • South Africa
      • Rest of Middle East and Africa

Geography Analysis

North America led with 42.40% of the supply chain big data analytics market share in 2025, owing to early digital-twin pilots and a mature cloud landscape. US manufacturers extend analytics into nearshored Mexican plants to improve quality yields, while Canadian energy operators optimize pipeline maintenance through predictive models.

Asia Pacific is growing at a 21.15% CAGR. China funds smart-factory roll-outs and cross-border e-commerce corridors that demand high-speed analytics. India accelerates retail and pharma use cases, whereas Japan and South Korea refine automotive and electronics supply chains through AI-powered scheduling. Government incentives and cloud-native startups make adoption cost-effective.

Europe maintains steady uptake under stringent sustainability and data-privacy rules. German auto and machinery exporters rely on plant-level analytics to protect global competitiveness. UK retailers integrate AI demand-planning tools to navigate volatile consumer sentiment, while EU-wide traceability laws spur investment in blockchain-enabled visibility platforms.

  1. SAP SE
  2. IBM Corporation
  3. Oracle Corporation
  4. Microsoft Corporation
  5. Amazon Web Services, Inc.
  6. Google LLC (Looker)
  7. Salesforce Inc. (Tableau Software Inc.)
  8. SAS Institute Inc.
  9. MicroStrategy Inc.
  10. Kinaxis Inc.
  11. Genpact Ltd.
  12. Blue Yonder Inc.
  13. Manhattan Associates
  14. Infor Inc.
  15. Qlik Techology Inc.
  16. Alteryx Inc.
  17. Snowflake Inc.
  18. Sage Clarity Systems
  19. Capgemini SE
  20. Birst Inc.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Surging omni-channel complexity
    • 4.2.2 Proliferation of IoT telemetry in logistics
    • 4.2.3 Falling cloud-data-warehouse costs
    • 4.2.4 Regulatory push for supply-chain traceability
    • 4.2.5 Rise of digital twin control towers
    • 4.2.6 Carbon-credit-linked freight optimization
  • 4.3 Market Restraints
    • 4.3.1 Integration and data-quality hurdles
    • 4.3.2 Shortage of analytics talent
    • 4.3.3 High TCO for real-time streaming stacks
    • 4.3.4 Cyber-insurance exclusions for data-lake breaches
  • 4.4 Value Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Porter's Five Forces Analysis
    • 4.7.1 Threat of New Entrants
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Bargaining Power of Suppliers
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Intensity of Competitive Rivalry
  • 4.8 An Assessment of Macroeconomic Impact on the Market

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

  • 5.1 By Component
    • 5.1.1 Solution
      • 5.1.1.1 Supply-Chain Procurement and Planning Tools
      • 5.1.1.2 Sales and Operations Planning
      • 5.1.1.3 Manufacturing Analytics
      • 5.1.1.4 Transportation and Logistics Analytics
      • 5.1.1.5 Inventory Planning and Optimization
    • 5.1.2 Service
      • 5.1.2.1 Professional Services
      • 5.1.2.2 Support and Maintenance
  • 5.2 By End User Industry
    • 5.2.1 Retail
    • 5.2.2 Transportation and Logistics
    • 5.2.3 Manufacturing
    • 5.2.4 Healthcare
    • 5.2.5 Other end-user Industries (Consumer-Packaged Goods, Energy and Ultilities, etc.)
  • 5.3 By Deployment Model
    • 5.3.1 On-premise
    • 5.3.2 Cloud
  • 5.4 By Geography
    • 5.4.1 North America
      • 5.4.1.1 United States
      • 5.4.1.2 Canada
      • 5.4.1.3 Mexico
    • 5.4.2 South America
      • 5.4.2.1 Brazil
      • 5.4.2.2 Argentina
      • 5.4.2.3 Rest of South America
    • 5.4.3 Europe
      • 5.4.3.1 United Kingdom
      • 5.4.3.2 Germany
      • 5.4.3.3 France
      • 5.4.3.4 Italy
      • 5.4.3.5 Rest of Europe
    • 5.4.4 Asia Pacific
      • 5.4.4.1 China
      • 5.4.4.2 Japan
      • 5.4.4.3 South Korea
      • 5.4.4.4 India
      • 5.4.4.5 Rest of Asia Pacific
    • 5.4.5 Middle East and Africa
      • 5.4.5.1 United Arab Emirates
      • 5.4.5.2 Saudi Arabia
      • 5.4.5.3 South Africa
      • 5.4.5.4 Rest of Middle East and Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
    • 6.4.1 SAP SE
    • 6.4.2 IBM Corporation
    • 6.4.3 Oracle Corporation
    • 6.4.4 Microsoft Corporation
    • 6.4.5 Amazon Web Services, Inc.
    • 6.4.6 Google LLC (Looker)
    • 6.4.7 Salesforce Inc. (Tableau Software Inc.)
    • 6.4.8 SAS Institute Inc.
    • 6.4.9 MicroStrategy Inc.
    • 6.4.10 Kinaxis Inc.
    • 6.4.11 Genpact Ltd.
    • 6.4.12 Blue Yonder Inc.
    • 6.4.13 Manhattan Associates
    • 6.4.14 Infor Inc.
    • 6.4.15 Qlik Techology Inc.
    • 6.4.16 Alteryx Inc.
    • 6.4.17 Snowflake Inc.
    • 6.4.18 Sage Clarity Systems
    • 6.4.19 Capgemini SE
    • 6.4.20 Birst Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-need Assessment