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市場調查報告書
商品編碼
1934947

供應鏈分析市場 - 全球產業規模、佔有率、趨勢、機會及預測（按組件、部署方式、組織規模、產業垂直領域、地區和競爭格局分類，2021-2031 年）

Supply Chain Analytics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Deployment, By Organization Size; By Industry Vertical, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 180 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球供應鏈分析市場預計將從 2025 年的 89.4 億美元成長到 2031 年的 287.3 億美元，複合年成長率達到 21.48%。

此領域涵蓋旨在解讀營運資訊以提升規劃和執行效率的資料策略和軟體解決方案。透過促進預測建模和庫存最佳化，這些工具能夠幫助企業做出策略性且明智的決策。市場成長趨勢主要受以下因素驅動：企業需要實現全網視覺性，以及透過數位化提升效率來降低營運成本的壓力日益增大。根據三菱重工 (MHI) 發布的 2024 年報告，55% 的供應鏈負責人正在加大對創新和供應鏈技術的投資，以提升整體績效。

市場概覽
預測期 2027-2031
市場規模：2025年 89.4億美元
市場規模：2031年 287.3億美元
複合年成長率：2026-2031年 21.48%
成長最快的細分市場 小型企業
最大的市場 北美洲

然而，整合來自各種舊有系統的數據仍然是市場成長的一大障礙。分析平台的有效應用常常受到資料品質參差不齊和缺乏標準化格式的阻礙。這種碎片化限制了可執行洞察的產生，並阻礙了來自孤立資訊來源的資訊整合。因此，這些挑戰構成了阻礙企業充分利用這些技術價值的重大障礙。

市場促進因素

機器學習和人工智慧的整合是推動全球供應鏈分析市場發展的關鍵因素，它將營運模式從簡單的被動監控轉變為領先最佳化。這些先進的演算法能夠處理大量資料集並自動執行複雜的決策，使企業能夠精準預測中斷並管理庫存。這項技術的需求如此強勁，以至於Honeywell2024年7月發布的《工業人工智慧洞察報告》顯示，94%的受訪高階主管計劃擴大人工智慧的應用範圍，凸顯了向自動化智慧的普遍轉變。這種廣泛的應用有助於快速處理數據，將原始輸入轉化為推動市場擴張的策略資產。

同時，對風險管理和供應鏈韌性的日益重視正推動企業運用先進的分析技術來應對日益動盪的全球環境。為了防範經濟波動和地緣政治不穩定，企業正大力投資能夠提供情境規劃和端到端視覺的工具。根據笛卡爾系統集團（Descartes Systems Group）於2024年12月發布的《2024年供應鏈情報報告》，48%的全球物流領導者將不斷增加的貿易壁壘和關稅列為主要擔憂，凸顯了預測性風險建模的重要性。這種對穩定性的追求正在推動巨額投資，三菱重工（MHI）的報告顯示，88%的供應鏈領導者計劃在2024年投資超過100萬美元用於技術，這凸顯了構建具有韌性的、以數據為中心的網路的迫切需求。

市場挑戰

全球供應鏈分析市場擴張的一大障礙在於，跨越分散的舊有系統的資料整合十分複雜。企業通常依賴碎片化的基礎設施，關鍵資料被困在孤立的「孤島」中，例如倉庫管理系統 (WMS)、業務線計畫 (ERP) 平台和運輸日誌，彼此之間無法通訊。這種資料脫節阻礙了統一的「單一資訊來源這正是高階分析平台發揮功能的關鍵前提。缺乏一致的資料集會導致預測工具無法產生準確的預測和洞察，從而削弱軟體的有效性並阻礙其廣泛應用。

由於缺乏能夠彌合現代數位化需求與過時基礎設施之間鴻溝的熟練專業人員，這項技術挑戰更加嚴峻。整合這些系統需要專業知識來進行資料標準化、清理和遷移，而這方面的人才目前十分匱乏。根據 MHI 發布的《2025 年年度產業報告》，83% 的受訪供應鏈和製造業專業人士認為，持續的人才和勞動力短缺是他們面臨的一項重大營運挑戰。這種嚴重的技術人才短缺直接阻礙了企業解決整合問題的能力，從而減緩了分析解決方案的普及，並限制了更廣泛的市場成長。

市場趨勢

在嚴格的監管標準和對詳細碳足跡可視性的迫切需求下，企業正加速採用ESG合規與永續性分析相結合的趨勢。企業正在加速採用專門的分析工具來監測範圍3排放（例如採購和運輸等間接活動），而這些排放歷來難以用傳統方法量化。這種轉變超越了單純的合規要求，並透過數據主導的追蹤，實現了在道德採購和減少廢棄物的策略性改進。間接環境影響的規模凸顯了此能力的重要性。由CSCMP和麻省理工學院物流中心於2024年8月發布的《2024年供應鏈永續狀況》報告指出，範圍3排放約佔企業總碳足跡的75%，因此需要先進的分析技術來有效追蹤這些龐大的間接營運活動。

同時，生成式人工智慧在高階情境規劃中的應用正在革新企業應對市場波動的方式，它能夠將非結構化資料整合到可執行的策略中。與依賴結構化歷史資料的標準預測模型不同，生成式人工智慧能夠解讀文字輸入（例如合約和新聞報道），模擬複雜的「假設」情景，並提供即時的決策支援。這種能力使供應鏈管理人員能夠與資料進行互動式交互，並在危機期間快速發現替代採購路徑。具有競爭力的企業正在迅速採用這項技術。 Epicor 2024 年 7 月發布的供應鏈洞察報告顯示，63% 的高成長企業已將生成式人工智慧融入其供應鏈流程，以應對營運和成本方面的挑戰。

目錄

第1章概述

第2章調查方法

第3章執行摘要

第4章：客戶評價

第5章 全球供應鏈分析市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 按組件（軟體、服務）
    • 依部署類型（本機部署、雲端部署）
    • 依組織規模（中小企業、大型企業）
    • 按行業分類（零售/消費品、醫療/製藥、製造業、食品/飲料、運輸/物流、汽車、其他）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

6. 北美供應鏈分析市場展望

  • 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

7. 歐洲供應鏈分析市場展望

  • 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

8. 亞太地區供應鏈分析市場展望

  • 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

9. 中東和非洲供應鏈分析市場展望

  • 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：南美洲供應鏈分析市場展望

  • 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
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 最新進展

第13章 全球供應鏈分析市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的可能性
  • 供應商電力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • Kinaxis Inc.
  • Manhattan Associates
  • IBM Corporation
  • Tableau Software LLC
  • SAP SE
  • SAS Institute Inc.
  • QlikTech International AB
  • Oracle Corporation
  • Microstrategy Incorporated
  • Infor Inc.

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
Product Code: 14630

The Global Supply Chain Analytics Market is projected to expand from USD 8.94 Billion in 2025 to USD 28.73 Billion by 2031, achieving a Compound Annual Growth Rate (CAGR) of 21.48%. This sector comprises data strategies and software solutions aimed at interpreting operational information to enhance both planning and execution. By facilitating predictive modeling and inventory optimization, these tools empower companies to make strategic, well-informed decisions. The market's upward trajectory is largely fueled by the necessity for complete network visibility and the pressure to reduce escalating operational expenses through digital efficiency. MHI reported in 2024 that 55% of supply chain executives are boosting their investments in innovation and supply chain technology to improve overall performance.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 8.94 Billion
Market Size 2031USD 28.73 Billion
CAGR 2026-203121.48%
Fastest Growing SegmentSmall & Medium Enterprise
Largest MarketNorth America

Nevertheless, the struggle to integrate data across various legacy systems remains a significant obstacle to market growth. The effective rollout of analytics platforms is frequently hindered by inconsistent data quality and a lack of standardized formats. This fragmentation restricts the generation of actionable insights and prevents the consolidation of information from isolated sources. Consequently, these issues create a major hurdle that prevents organizations from fully capitalizing on the value of these technological implementations.

Market Driver

The incorporation of Machine Learning and Artificial Intelligence serves as a major driver for the Global Supply Chain Analytics Market, transitioning operations from simple reactive monitoring to proactive optimization. These sophisticated algorithms process vast datasets to automate intricate decision-making, enabling firms to forecast disruptions and manage inventory with exceptional accuracy. The push for this technology is significant; a July 2024 'Industrial AI Insights' report by Honeywell indicates that 94% of executives surveyed intend to increase their AI usage, highlighting a general shift toward automated intelligence. This broad adoption aids in processing high-speed data, converting raw inputs into strategic assets that foster market expansion.

Concurrently, the heightened emphasis on risk management and supply chain resilience requires the use of advanced analytics to manage an increasingly unstable global environment. Businesses are heavily investing in tools that offer scenario planning and end-to-end visibility to protect against economic shifts and geopolitical instability. According to the '2024 Supply Chain Intelligence Report' by Descartes Systems Group released in December 2024, 48% of global logistics leaders cited increasing trade barriers and tariffs as a primary concern, emphasizing the critical need for predictive risk modeling. This pursuit of stability is supported by substantial financial commitment; MHI noted in 2024 that 88% of supply chain leaders plan to invest more than $1 million in technology, underscoring the priority given to establishing resilient, data-centric networks.

Market Challenge

A major impediment to the expansion of the Global Supply Chain Analytics Market is the complexity of integrating data across unconnected legacy systems. Companies often rely on fragmented infrastructures where essential data is locked within isolated "silos," such as Warehouse Management Systems (WMS), Enterprise Resource Planning (ERP) platforms, and transportation logs that fail to communicate. This disconnection precludes the establishment of a unified "single source of truth," a fundamental prerequisite for the functionality of any advanced analytics platform. In the absence of a cohesive dataset, predictive tools are unable to produce accurate forecasts or insights, rendering the software ineffective and deterring widespread adoption.

This technical difficulty is further aggravated by a scarcity of skilled professionals who can bridge the divide between modern digital demands and outdated infrastructure. Integrating these systems demands specialized knowledge to standardize, clean, and migrate data-expertise that is currently in short supply. As per the 2025 MHI Annual Industry Report, 83% of supply chain and manufacturing professionals surveyed highlighted the persistent talent and workforce shortage as a significant operational challenge. This severe deficiency in technical human capital directly impedes firms' abilities to solve integration problems, thereby stalling the implementation of analytics solutions and constraining the market's broader growth.

Market Trends

A pivotal trend gaining traction is the integration of ESG Compliance and Sustainability Analytics, spurred by rigorous regulatory standards and the necessity for detailed carbon footprint visibility. Companies are increasingly adopting specialized analytics to monitor Scope 3 emissions-indirect activities like procurement and transportation-which are notoriously hard to quantify via conventional means. This transition exceeds mere compliance, allowing organizations to strategically refine ethical sourcing and minimize waste through data-led tracking. The importance of this capability is highlighted by the scale of indirect environmental impacts; the 'State of Supply Chain Sustainability 2024' report by the CSCMP and MIT Center for Transportation & Logistics in August 2024 noted that Scope 3 emissions constitute roughly 75% of a firm's total carbon footprint, requiring advanced analytics to effectively track these vast indirect operations.

At the same time, the use of Generative AI for Advanced Scenario Planning is revolutionizing how businesses prepare for volatility by enabling the synthesis of unstructured data into practical strategies. Unlike standard predictive models that depend on structured historical data, generative AI interprets text-based inputs, such as contracts and news reports, to simulate complex "what-if" scenarios for immediate decision-making support. This functionality permits supply chain managers to engage conversationally with data to quickly uncover alternative sourcing paths during crises. Competitive firms are rapidly adopting this technology; an Epicor 'Supply Chain Insights' report from July 2024 revealed that 63% of high-growth companies have already incorporated generative AI into their supply chain processes to handle operational and cost challenges.

Key Market Players

  • Kinaxis Inc.
  • Manhattan Associates
  • IBM Corporation
  • Tableau Software LLC
  • SAP SE
  • SAS Institute Inc.
  • QlikTech International AB
  • Oracle Corporation
  • Microstrategy Incorporated
  • Infor Inc.

Report Scope

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

Supply Chain Analytics Market, By Component

  • Software
  • Services

Supply Chain Analytics Market, By Deployment

  • On-premise
  • Cloud

Supply Chain Analytics Market, By Organization Size

  • Small & Medium Enterprise
  • Large Enterprise

Supply Chain Analytics Market, By Industry Vertical

  • Retail & Consumer Goods
  • Healthcare & Pharmaceuticals
  • Manufacturing
  • Food & Beverages
  • Transportation & Logistics
  • Automotive
  • Other

Supply Chain Analytics 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 Supply Chain Analytics Market.

Available Customizations:

Global Supply Chain Analytics 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 Supply Chain Analytics Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component (Software, Services)
    • 5.2.2. By Deployment (On-premise, Cloud)
    • 5.2.3. By Organization Size (Small & Medium Enterprise, Large Enterprise)
    • 5.2.4. By Industry Vertical (Retail & Consumer Goods, Healthcare & Pharmaceuticals, Manufacturing, Food & Beverages, Transportation & Logistics, Automotive, Other)
    • 5.2.5. By Region
    • 5.2.6. By Company (2025)
  • 5.3. Market Map

6. North America Supply Chain Analytics Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Deployment
    • 6.2.3. By Organization Size
    • 6.2.4. By Industry Vertical
    • 6.2.5. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Supply Chain Analytics 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 Component
        • 6.3.1.2.2. By Deployment
        • 6.3.1.2.3. By Organization Size
        • 6.3.1.2.4. By Industry Vertical
    • 6.3.2. Canada Supply Chain Analytics 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 Component
        • 6.3.2.2.2. By Deployment
        • 6.3.2.2.3. By Organization Size
        • 6.3.2.2.4. By Industry Vertical
    • 6.3.3. Mexico Supply Chain Analytics 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 Component
        • 6.3.3.2.2. By Deployment
        • 6.3.3.2.3. By Organization Size
        • 6.3.3.2.4. By Industry Vertical

7. Europe Supply Chain Analytics Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Deployment
    • 7.2.3. By Organization Size
    • 7.2.4. By Industry Vertical
    • 7.2.5. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Supply Chain Analytics 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 Component
        • 7.3.1.2.2. By Deployment
        • 7.3.1.2.3. By Organization Size
        • 7.3.1.2.4. By Industry Vertical
    • 7.3.2. France Supply Chain Analytics 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 Component
        • 7.3.2.2.2. By Deployment
        • 7.3.2.2.3. By Organization Size
        • 7.3.2.2.4. By Industry Vertical
    • 7.3.3. United Kingdom Supply Chain Analytics 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 Component
        • 7.3.3.2.2. By Deployment
        • 7.3.3.2.3. By Organization Size
        • 7.3.3.2.4. By Industry Vertical
    • 7.3.4. Italy Supply Chain Analytics 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 Component
        • 7.3.4.2.2. By Deployment
        • 7.3.4.2.3. By Organization Size
        • 7.3.4.2.4. By Industry Vertical
    • 7.3.5. Spain Supply Chain Analytics 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 Component
        • 7.3.5.2.2. By Deployment
        • 7.3.5.2.3. By Organization Size
        • 7.3.5.2.4. By Industry Vertical

8. Asia Pacific Supply Chain Analytics Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Deployment
    • 8.2.3. By Organization Size
    • 8.2.4. By Industry Vertical
    • 8.2.5. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Supply Chain Analytics 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 Component
        • 8.3.1.2.2. By Deployment
        • 8.3.1.2.3. By Organization Size
        • 8.3.1.2.4. By Industry Vertical
    • 8.3.2. India Supply Chain Analytics 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 Component
        • 8.3.2.2.2. By Deployment
        • 8.3.2.2.3. By Organization Size
        • 8.3.2.2.4. By Industry Vertical
    • 8.3.3. Japan Supply Chain Analytics 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 Component
        • 8.3.3.2.2. By Deployment
        • 8.3.3.2.3. By Organization Size
        • 8.3.3.2.4. By Industry Vertical
    • 8.3.4. South Korea Supply Chain Analytics 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 Component
        • 8.3.4.2.2. By Deployment
        • 8.3.4.2.3. By Organization Size
        • 8.3.4.2.4. By Industry Vertical
    • 8.3.5. Australia Supply Chain Analytics 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 Component
        • 8.3.5.2.2. By Deployment
        • 8.3.5.2.3. By Organization Size
        • 8.3.5.2.4. By Industry Vertical

9. Middle East & Africa Supply Chain Analytics Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Deployment
    • 9.2.3. By Organization Size
    • 9.2.4. By Industry Vertical
    • 9.2.5. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Supply Chain Analytics 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 Component
        • 9.3.1.2.2. By Deployment
        • 9.3.1.2.3. By Organization Size
        • 9.3.1.2.4. By Industry Vertical
    • 9.3.2. UAE Supply Chain Analytics 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 Component
        • 9.3.2.2.2. By Deployment
        • 9.3.2.2.3. By Organization Size
        • 9.3.2.2.4. By Industry Vertical
    • 9.3.3. South Africa Supply Chain Analytics 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 Component
        • 9.3.3.2.2. By Deployment
        • 9.3.3.2.3. By Organization Size
        • 9.3.3.2.4. By Industry Vertical

10. South America Supply Chain Analytics Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Deployment
    • 10.2.3. By Organization Size
    • 10.2.4. By Industry Vertical
    • 10.2.5. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Supply Chain Analytics 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 Component
        • 10.3.1.2.2. By Deployment
        • 10.3.1.2.3. By Organization Size
        • 10.3.1.2.4. By Industry Vertical
    • 10.3.2. Colombia Supply Chain Analytics 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 Component
        • 10.3.2.2.2. By Deployment
        • 10.3.2.2.3. By Organization Size
        • 10.3.2.2.4. By Industry Vertical
    • 10.3.3. Argentina Supply Chain Analytics 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 Component
        • 10.3.3.2.2. By Deployment
        • 10.3.3.2.3. By Organization Size
        • 10.3.3.2.4. By Industry Vertical

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 Supply Chain Analytics 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. Kinaxis Inc.
    • 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. Manhattan Associates
  • 15.3. IBM Corporation
  • 15.4. Tableau Software LLC
  • 15.5. SAP SE
  • 15.6. SAS Institute Inc.
  • 15.7. QlikTech International AB
  • 15.8. Oracle Corporation
  • 15.9. Microstrategy Incorporated
  • 15.10. Infor Inc.

16. Strategic Recommendations

17. About Us & Disclaimer