供应链分析市场 - 全球产业规模、份额、趋势、机会及预测（按组件、部署方式、组织规模、产业垂直领域、地区和竞争格局划分，2021-2031 年）

全球供应链分析市场预计将从 2025 年的 89.4 亿美元成长到 2031 年的 287.3 亿美元，复合年增长率达到 21.48%。

此领域涵盖旨在解读营运资讯以提升规划和执行效率的资料策略和软体解决方案。透过促进预测建模和库存优化，这些工具能够帮助企业做出策略性且明智的决策。市场成长趋势主要受以下因素驱动：企业需要实现全网视觉性，以及透过数位化提升效率来降低营运成本的压力日益增大。根据三菱重工 (MHI) 发布的 2024 年报告，55% 的供应链负责人正在加大对创新和供应链技术的投资，以提升整体绩效。

然而，整合来自各种旧有系统的数据仍然是市场成长的一大障碍。分析平台的有效应用常常受到资料品质参差不齐和缺乏标准化格式的阻碍。这种碎片化限制了可执行洞察的产生，并阻碍了来自孤立资讯来源的资讯整合。因此，这些挑战构成了阻碍企业充分利用这些技术价值的重大障碍。

市场驱动因素

机器学习和人工智慧的整合是推动全球供应链分析市场发展的关键因素，它将营运模式从简单的被动监控转变为领先优化。这些先进的演算法能够处理大量资料集并自动执行复杂的决策，使企业能够精准预测中断并管理库存。这项技术的需求如此强劲，以至于Honeywell2024年7月发布的《工业人工智慧洞察报告》显示，94%的受访高阶主管计划扩大人工智慧的应用范围，凸显了向自动化智慧的普遍转变。这种广泛的应用有助于快速处理数据，将原始输入转化为推动市场扩张的策略资产。

同时，对风险管理和供应链韧性的日益重视正推动企业运用先进的分析技术来应对日益动盪的全球环境。为了防范经济波动和地缘政治不稳定，企业正大力投资能够提供情境规划和端到端视觉的工具。根据笛卡尔系统集团（Descartes Systems Group）于2024年12月发布的《2024年供应链情报报告》，48%的全球物流领导者将不断增加的贸易壁垒和关税列为主要担忧，凸显了预测性风险建模的重要性。这种对稳定性的追求正在推动巨额投资，三菱重工（MHI）的报告显示，88%的供应链领导者计划在2024年投资超过100万美元用于技术，这凸显了构建具有韧性的、以数据为中心的网络的迫切需求。

市场挑战

全球供应链分析市场扩张的一大障碍在于，跨越分散的旧有系统的资料整合十分复杂。企业通常依赖碎片化的基础设施，关键资料被困在孤立的「孤岛」中，例如仓库管理系统 (WMS)、业务线计画 (ERP) 平台和运输日誌，彼此之间无法通讯。这种资料脱节阻碍了统一的「单一资讯来源这正是高阶分析平台发挥功能的关键前提。缺乏一致的数据集会导致预测工具无法产生准确的预测和洞察，从而削弱软体的有效性并阻碍其广泛应用。

由于缺乏能够弥合现代数位化需求与过时基础设施之间鸿沟的熟练专业人员，这项技术挑战更加严峻。整合这些系统需要专业知识来进行资料标准化、清理和迁移，而这方面的人才目前十分匮乏。根据 MHI 发布的《2025 年年度产业报告》，83% 的受访供应链和製造业专业人士认为，持续的人才和劳动力短缺是他们面临的一项重大营运挑战。这种严重的技术人才短缺直接阻碍了企业解决整合问题的能力，从而减缓了分析解决方案的普及，并限制了更广泛的市场成长。

市场趋势

在严格的监管标准和对详细碳足迹可视性的迫切需求下，企业正加速采用ESG合规与永续性分析相结合的趋势。企业正在加速采用专门的分析工具来监测范围3排放（例如采购和运输等间接活动），而这些排放历来难以用传统方法量化。这种转变超越了单纯的合规要求，并透过数据主导的追踪，实现了在道德采购和减少废弃物的策略性改进。间接环境影响的规模凸显了此能力的重要性。由CSCMP和麻省理工学院物流中心于2024年8月发布的《2024年供应链永续状况》报告指出，范围3排放约占企业总碳足迹的75%，因此需要先进的分析技术来有效追踪这些庞大的间接营运活动。

同时，生成式人工智慧在高阶情境规划中的应用正在革新企业应对市场波动的方式，它能够将非结构化资料整合到可执行的策略中。与依赖结构化历史资料的标准预测模型不同，生成式人工智慧能够解读文字输入（例如合约和新闻报道），模拟复杂的「假设」情景，并提供即时的决策支援。这种能力使供应链管理人员能够与资料进行互动式交互，并在危机期间快速发现替代采购路径。具有竞争力的企业正在迅速采用这项技术。 Epicor 2024 年 7 月发布的供应链洞察报告显示，63% 的高成长企业已将生成式人工智慧融入其供应链流程，以应对营运和成本方面的挑战。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章 全球供应链分析市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 按组件（软体、服务）
  • 依部署类型（本机部署、云端部署）
  • 依组织规模（中小企业、大型企业）
  • 按行业划分（零售/消费品、医疗/製药、製造业、食品/饮料、运输/物流、汽车、其他）
  • 按地区
  • 按公司（2025 年）
• 市场地图

6. 北美供应链分析市场展望

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

7. 欧洲供应链分析市场展望

• 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

8. 亚太地区供应链分析市场展望

• 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

9. 中东和非洲供应链分析市场展望

• 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
  • 阿拉伯聯合大公国
  • 南非

第十章：南美洲供应链分析市场展望

• 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
• 任务

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 全球供应链分析市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的可能性
• 供应商电力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

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

第十六章 策略建议

第十七章：关于研究公司及免责声明

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.

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