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1561457

2024-2032 年按组件、部署模式、企业规模、垂直产业和地区分類的供应链分析市场报告

Supply Chain Analytics Market Report by Component, Deployment Mode, Enterprise Size, Industry Vertical, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 138 Pages | 商品交期: 2-3个工作天内

价格

2023 年，全球供应链分析市场IMARC Group达到 81 亿美元。企业数位转型的不断发展、对供应链端到端可见度和透明度的需求不断增长，以及个人从电子商务平台购买产品和服务的线上购物活动不断增加，是推动市场发展的主要因素。

供应链分析是指收集、检查和解释供应链内各个来源的资料的过程，以获得可行的见解、优化营运并做出明智的决策。它结合了统计技术、资料探勘、预测建模和商业智能，将原始资料转化为有价值的讯息，帮助组织简化其供应链流程并实现策略目标。它透过确保产品可用性和按时交付来提高客户满意度和忠诚度。它还使公司能够透过更快地响应市场变化和客户需求来获得竞争优势。

目前，对供应链分析以优化库存水准、生产计划和采购的需求不断增长，正在推动市场的成长。除此之外，人们日益关注有效分析库存水准、週转率和交货时间，以降低运输成本，同时确保产品可用性，这有助于市场的成长。此外，供应链分析在识别和减轻潜在供应链中断（包括自然灾害或地缘政治事件）方面的日益整合，正在提供有利的市场前景。除此之外，越来越多的组织采用先进的分析解决方案来提高营运效率、降低成本并提高整体供应链视觉性，这正在支持市场的成长。此外，巨量资料和物联网（IoT）的不断普及正在加强市场成长。

供应链分析市场趋势/驱动因素：

企业数位转型不断推动

目前，企业日益增长的数位转型正在对供应链分析市场的扩张产生积极影响。除此之外，组织不断投资先进的资料分析技术和工具，以利用巨量资料的力量。这项投资使企业能够即时捕获、储存和分析大量供应链资料。因此，公司能够更好地做出正确的决策并持续优化其供应链营运。此外，将人工智慧 (AI) 和机器学习 (ML) 演算法纳入供应链分析解决方案正在增强其功能。这些技术支援预测性和规范性分析，使企业能够预测需求波动、优化库存水准并识别供应链中的潜在瓶颈或中断。

对供应链端到端可见性和透明度的需求不断增长

对供应链端到端可见性和透明度的需求不断增长，正在推动供应链分析市场的成长。除此之外，各行业的组织都认识到即时洞察其供应链运作的至关重要性。他们越来越多地投资于先进的分析解决方案，以持续了解供应链的各个方面，包括原材料采购和最终产品交付。此外，公司正在积极实施供应链分析平台，该平台能够监控、追踪和分析来自无数来源（包括供应商、物流提供者和内部营运）的资料。这种即时监控使他们能够快速回应中断、识别瓶颈、优化库存水准并提高整体营运效率。此外，消费者对产品可追溯性、永续性和道德采购的意识不断增强，迫使企业提供对其供应链的全面可见性。

个人网上购物活动增加

个人线上购物活动的增加正在推动对供应链分析的需求。除此之外，随着消费者越来越多地转向线上平台进行购买，企业在有效管理供应链方面面临许多挑战。这些挑战包括波动的需求模式、复杂的物流以及即时了解库存和订单履行的需要。为了满足这些不断变化的需求，公司正在转向供应链分析解决方案，作为获得可行见解和优化营运的手段。此外，在全球中断和意外事件等因素的推动下，供应链弹性和敏捷性的维持有所提升。线上购物的持续成长强化了供应链分析在降低风险方面的重要性，使组织能够主动识别漏洞、制定应急计画并确保业务连续性。

目录

第一章：前言

第 2 章：范围与方法

  • 研究目的
  • 利害关係人
  • 数据来源
    • 主要来源
    • 二手资料
  • 市场预测
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第 3 章：执行摘要

第 4 章：简介

  • 概述
  • 主要行业趋势

第 5 章：全球供应链分析市场

  • 市场概况
  • 市场表现
  • COVID-19 的影响
  • 市场预测

第 6 章：市场区隔：按组成部分

  • 软体
    • 市场趋势
    • 关键环节
      • 需求分析与预测
      • 供应商绩效分析
      • 支出和采购分析
      • 库存分析
      • 运输和物流分析
    • 市场预测
  • 服务
    • 市场趋势
    • 关键环节
      • 专业的
      • 支援与维护
    • 市场预测

第 7 章：市场区隔：依部署模式

  • 本地
    • 市场趋势
    • 市场预测
  • 基于云端
    • 市场趋势
    • 市场预测

第 8 章：市场区隔：依企业规模

  • 大型企业
    • 市场趋势
    • 市场预测
  • 中小企业
    • 市场趋势
    • 市场预测

第 9 章：市场区隔：依垂直产业

  • 汽车
    • 市场趋势
    • 市场预测
  • 食品和饮料
    • 市场趋势
    • 市场预测
  • 医疗保健和製药
    • 市场趋势
    • 市场预测
  • 製造业
    • 市场趋势
    • 市场预测
  • 零售和消费品
    • 市场趋势
    • 市场预测
  • 运输与物流
    • 市场趋势
    • 市场预测
  • 其他的
    • 市场趋势
    • 市场预测

第 10 章：市场区隔：按地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 其他的
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他的
  • 中东和非洲
    • 市场趋势
    • 市场细分：按国家/地区
    • 市场预测

第 11 章：SWOT 分析

  • 概述
  • 优势
  • 弱点
  • 机会
  • 威胁

第 12 章：价值链分析

第 13 章：波特五力分析

  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

第 14 章：价格分析

第15章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • Axway
    • Capgemini SE
    • International Business Machines Corporation
    • Infor Inc (Koch Industries Inc.)
    • Kinaxis Inc.
    • Manhattan Associates Inc.
    • Microstrategy Incorporated
    • Oracle Corporation
    • QlikTech International AB
    • SAP SE
    • SAS Institute Inc.
    • Tableau Software LLC (Salesforce Inc.)
Product Code: SR112024A4520

The global supply chain analytics market size reached US$ 8.1 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 30.6 Billion by 2032, exhibiting a growth rate (CAGR) of 15.5% during 2024-2032. The growing digital transformation of businesses, rising demand for end-to-end visibility and transparency in supply chains, and increasing online shopping activities among individuals to purchase products and services from e-commerce platforms are some of the major factors propelling the market.

Supply chain analytics refers to the procedure of collecting, examining, and interpreting data from various sources within a supply chain to gain actionable insights, optimize operations, and make informed decisions. It combines statistical techniques, data mining, predictive modeling, and business intelligence to transform raw data into valuable information, helping organizations streamline their supply chain processes and achieve strategic objectives. It improves customer satisfaction and loyalty by ensuring product availability and on-time deliverables. It also enables companies to gain a competitive edge by responding faster to market changes and customer needs.

At present, the increasing demand for supply chain analytics to optimize inventory levels, production schedules, and procurement is impelling the growth of the market. Besides this, the rising focus on efficiently analyzing stock levels, turnover rates, and lead times to reduce carrying costs while ensuring product availability is contributing to the growth of the market. In addition, the growing integration of supply chain analytics in identifying and mitigating potential supply chain disruptions, including natural disasters or geopolitical events, is offering a favorable market outlook. Apart from this, the increasing number of organizations adopting advanced analytics solutions to enhance their operational efficiency, lessen costs, and improve overall supply chain visibility is supporting the growth of the market. Additionally, the rising proliferation of big data and the Internet of Things (IoT) is strengthening the market growth.

Supply Chain Analytics Market Trends/Drivers:

Growing digital transformation of businesses

The growing digital transformation of businesses is currently exerting a positive influence on the expansion of the supply chain analytics market. Besides this, organizations are continually investing in advanced data analytics technologies and tools to harness the power of big data. This investment is enabling businesses to capture, store, and analyze vast amounts of supply chain data in real time. As a result, companies are better equipped to make correct decisions and optimize their supply chain operations continuously. Furthermore, the inclusion of artificial intelligence (AI) and machine learning (ML) algorithms into supply chain analytics solutions is enhancing its functionalities. These technologies enable predictive and prescriptive analytics, allowing businesses to anticipate demand fluctuations, optimize inventory levels, and identify potential bottlenecks or disruptions in the supply chain.

Rising demand for end-to-end visibility and transparency in supply chains

The rising demand for end-to-end visibility and transparency in supply chains is propelling the growth of the supply chain analytics market. Besides this, organizations across various industries are recognizing the critical importance of real-time insights into their supply chain operations. They are increasingly investing in advanced analytics solutions to gain continuous visibility into every facet of their supply chain, including raw material sourcing and final product delivery. Moreover, companies are actively implementing supply chain analytics platforms that are capable of monitoring, tracking, and analyzing data from innumerable sources, including suppliers, logistics providers, and internal operations. This real-time monitoring enables them to respond swiftly to disruptions, identify bottlenecks, optimize inventory levels, and enhance overall operational efficiency. Furthermore, the rising consumer awareness about product traceability, sustainability, and ethical sourcing is compelling businesses to provide comprehensive visibility into their supply chains.

Increasing online shopping activities of individuals

The increasing online shopping activities of individuals are bolstering the demand for supply chain analytics. Besides this, as consumers increasingly turn to online platforms to make their purchases, businesses are confronted with a multitude of challenges in managing their supply chains efficiently. These challenges include fluctuating demand patterns, complex logistics, and the need for real-time visibility into inventory and order fulfillment. In response to these evolving requirements, companies are turning to supply chain analytics solutions as a means to gain actionable insights and optimize their operations. Furthermore, there is a rise in the maintenance of supply chain resilience and agility, driven by factors, such as global disruptions and unexpected events. The continuous growth of online shopping intensifies the importance of supply chain analytics in risk mitigation, enabling organizations to proactively identify vulnerabilities, develop contingency plans, and ensure business continuity.

Supply Chain Analytics Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global supply chain analytics market report, along with forecasts at the global, regional, and country levels for 2024-2032. Our report has categorized the market based on component, deployment mode, enterprise size, and industry vertical.

Breakup by Component:

  • Software
    • Demand Analysis and Forecasting
    • Supplier Performance Analytics
    • Spend and Procurement Analytics
    • Inventory Analytics
    • Transportation and Logistics Analytics
  • Services
    • Professional
    • Support and Maintenance

Software (demand analysis and forecasting, supplier performance analytics, spend and procurement analytics, inventory analytics, and transportation and logistics analytics) dominates the market

The report has provided a detailed breakup and analysis of the market based on the component. This includes software (demand analysis and forecasting, supplier performance analytics, spend and procurement analytics, inventory analytics, and transportation and logistics analytics) and services (professional and support and maintenance). According to the report, software represented the largest segment.

Supply chain analytics software is a type of software designed to help organizations analyze and optimize their supply chain operations. It integrates data from multiple sources, including enterprise resource planning (ERP) systems and external data sources, such as market trends and weather forecasts. It often includes demand forecasting modules that use historical data and advanced forecasting algorithms to predict future demand for products or materials. It can also help organizations optimize their inventory levels by identifying excess or shortages and suggesting reorder points and quantities. It can also optimize transportation routes and modes, reduce shipping costs, and improve delivery times.

Breakup by Deployment Mode:

  • On-premises
  • Cloud-based

On-premises hold the largest share in the market

A detailed breakup and analysis of the market based on the deployment mode have also been provided in the report. This includes on-premises and cloud-based. According to the report, on-premises accounted for the largest market share.

On-premises supply chain analytics refers to the practice of deploying and running supply chain analytics software and tools within the physical infrastructure of an organization rather than relying on cloud-based or external solutions. It offers greater customization and control over the entire analytics stack, from data storage to analytical tools. This flexibility allows organizations to tailor their analytics environment to their specific needs. On-premises supply chain analytics solutions can help organizations maintain compliance with various regulations by allowing them to implement specific security measures and access controls. It can also provide faster access to this data because they do not rely on external network connections.

Breakup by Enterprise Size:

  • Large Enterprises
  • Small and Medium Enterprises

Large enterprises hold the biggest share in the market

A detailed breakup and analysis of the market based on the enterprise size have also been provided in the report. This includes large enterprises and small and medium enterprises. According to the report, large enterprises accounted for the largest market share.

Large enterprises require supply chain analytics for several critical reasons, as it can significantly impact their efficiency, competitiveness, and profitability. Supply chain analytics can help large enterprises better understand demand patterns, lead times, and seasonality. Large enterprises often have complex manufacturing and distribution networks. Analytics can help streamline these processes, reduce lead times, and improve overall operational efficiency. Moreover, a well-managed supply chain can lead to better customer service through improved order accuracy, shorter delivery times, and the ability to meet customer demands more effectively. Supply chain analytics can help track and report on compliance with environmental, social, and governance (ESG) standards. Furthermore, it provides valuable data and insights that enable data-driven decision-making. This helps enterprises make informed choices about their supply chain strategies, investments, and improvements.

Breakup by Industry Vertical:

  • Automotive
  • Food and Beverages
  • Healthcare and Pharmaceuticals
  • Manufacturing
  • Retail and Consumer Goods
  • Transportation and Logistics
  • Others

Manufacturing holds the maximum share in the market

A detailed breakup and analysis of the market based on the industry vertical have also been provided in the report. This includes automotive, food and beverages, healthcare and pharmaceuticals, manufacturing, retail and consumer goods, transportation and logistics, and others. According to the report, manufacturing accounted for the largest market share.

Supply chain analytics plays a crucial role in optimizing the manufacturing sector as it helps manufacturers predict demand more accurately by analyzing historical sales data, market trends, and other relevant factors. Manufacturers also use analytics to optimize their inventory levels by analyzing factors like lead times, demand variability, and production capacity. They can determine the optimal stock levels to reduce carrying costs while ensuring product availability. Supply chain analytics assists in optimizing production schedules and processes. It also helps manufacturers optimize transportation routes, select the most cost-effective carriers, and minimize shipping costs. It enables manufacturers to identify defects early, reduce waste, and ensure products meet quality standards by analyzing quality data.

Breakup by Region:

  • North America
    • United States
    • Canada
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa

North America exhibits a clear dominance, accounting for the largest supply chain analytics market share

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

North America held the biggest market share due to the rising demand for defects early, reduce waste, and ensure products meet quality standards. Besides this, the increasing emergence of e-commerce platforms selling products and services online and delivering them to the doorstep of buyers is propelling the growth of the market. Apart from this, the rising demand for methods to reduce operational costs among organizations is contributing to the growth of the market. Additionally, increasing regulations and environmental concerns enabling organizations to track and report on their supply chain practices are strengthening the growth of the market.

Asia Pacific is estimated to expand further in this domain due to rising advancements in data analytics and artificial intelligence (AI). Moreover, the increasing proliferation of Internet of Things (IoT) devices and improved data collection methods is bolstering the growth of the market.

Competitive Landscape:

Key market players are investing heavily in advanced analytics technologies, including machine learning (ML), artificial intelligence (AI), and predictive analytics, as these technologies enable better demand forecasting, optimization of inventory, and identification of cost-saving opportunities. They are also expanding their cloud offerings to cater to a greater number of clients and provide real-time data analysis capabilities. Top companies are incorporating IoT devices and sensors to collect real-time data from various points in the supply chain, enabling better visibility and decision-making. They are also integrating sustainability metrics into their analytics solutions to help organizations reduce their carbon footprint, optimize routes, and make eco-friendly sourcing decisions.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

  • Axway
  • Capgemini SE
  • International Business Machines Corporation
  • Infor Inc (Koch Industries Inc.)
  • Kinaxis Inc.
  • Manhattan Associates Inc.
  • Microstrategy Incorporated
  • Oracle Corporation
  • QlikTech International AB
  • SAP SE
  • SAS Institute Inc.
  • Tableau Software LLC (Salesforce Inc.)

Recent Developments:

  • In 2023, Axway announced its partnership with Akoya to modify the way customer information is shared with third-party applications and help financial institutions to tap into the potential of open application programming interfaces (APIs).
  • In September 2023, International Business Machines Corporation announced the expansion of IBM cloud security and compliance center created to help organizations mitigate risk and protect data across their hybrid, multi-cloud environments and workloads.
  • In November 2021, Oracle Corporation announced the launch of a new cloud analytics solution that provides Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) clients the insights needed to identify, understand, and resolve issues faster throughout the supply chain.

Key Questions Answered in This Report

  • 1. How big is the global supply chain analytics market?
  • 2. What is the expected growth rate of the global supply chain analytics market during 2024-2032?
  • 3. What are the key factors driving the global supply chain analytics market?
  • 4. What has been the impact of COVID-19 on the global supply chain analytics market?
  • 5. What is the breakup of the global supply chain analytics market based on the component?
  • 6. What is the breakup of the global supply chain analytics market based on the deployment mode?
  • 7. What is the breakup of the global supply chain analytics market based on the enterprise size?
  • 8. What is the breakup of the global supply chain analytics market based on the industry vertical?
  • 9. What are the key regions in the global supply chain analytics market?
  • 10. Who are the key players/companies in the global supply chain analytics market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Supply Chain Analytics Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Component

  • 6.1 Software
    • 6.1.1 Market Trends
    • 6.1.2 Key Segments
      • 6.1.2.1 Demand Analysis and Forecasting
      • 6.1.2.2 Supplier Performance Analytics
      • 6.1.2.3 Spend and Procurement Analytics
      • 6.1.2.4 Inventory Analytics
      • 6.1.2.5 Transportation and Logistics Analytics
    • 6.1.3 Market Forecast
  • 6.2 Services
    • 6.2.1 Market Trends
    • 6.2.2 Key Segments
      • 6.2.2.1 Professional
      • 6.2.2.2 Support and Maintenance
    • 6.2.3 Market Forecast

7 Market Breakup by Deployment Mode

  • 7.1 On-premises
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Cloud-based
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Enterprise Size

  • 8.1 Large Enterprises
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Small and Medium Enterprises
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast

9 Market Breakup by Industry Vertical

  • 9.1 Automotive
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Food and Beverages
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Healthcare and Pharmaceuticals
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Manufacturing
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast
  • 9.5 Retail and Consumer Goods
    • 9.5.1 Market Trends
    • 9.5.2 Market Forecast
  • 9.6 Transportation and Logistics
    • 9.6.1 Market Trends
    • 9.6.2 Market Forecast
  • 9.7 Others
    • 9.7.1 Market Trends
    • 9.7.2 Market Forecast

10 Market Breakup by Region

  • 10.1 North America
    • 10.1.1 United States
      • 10.1.1.1 Market Trends
      • 10.1.1.2 Market Forecast
    • 10.1.2 Canada
      • 10.1.2.1 Market Trends
      • 10.1.2.2 Market Forecast
  • 10.2 Asia-Pacific
    • 10.2.1 China
      • 10.2.1.1 Market Trends
      • 10.2.1.2 Market Forecast
    • 10.2.2 Japan
      • 10.2.2.1 Market Trends
      • 10.2.2.2 Market Forecast
    • 10.2.3 India
      • 10.2.3.1 Market Trends
      • 10.2.3.2 Market Forecast
    • 10.2.4 South Korea
      • 10.2.4.1 Market Trends
      • 10.2.4.2 Market Forecast
    • 10.2.5 Australia
      • 10.2.5.1 Market Trends
      • 10.2.5.2 Market Forecast
    • 10.2.6 Indonesia
      • 10.2.6.1 Market Trends
      • 10.2.6.2 Market Forecast
    • 10.2.7 Others
      • 10.2.7.1 Market Trends
      • 10.2.7.2 Market Forecast
  • 10.3 Europe
    • 10.3.1 Germany
      • 10.3.1.1 Market Trends
      • 10.3.1.2 Market Forecast
    • 10.3.2 France
      • 10.3.2.1 Market Trends
      • 10.3.2.2 Market Forecast
    • 10.3.3 United Kingdom
      • 10.3.3.1 Market Trends
      • 10.3.3.2 Market Forecast
    • 10.3.4 Italy
      • 10.3.4.1 Market Trends
      • 10.3.4.2 Market Forecast
    • 10.3.5 Spain
      • 10.3.5.1 Market Trends
      • 10.3.5.2 Market Forecast
    • 10.3.6 Russia
      • 10.3.6.1 Market Trends
      • 10.3.6.2 Market Forecast
    • 10.3.7 Others
      • 10.3.7.1 Market Trends
      • 10.3.7.2 Market Forecast
  • 10.4 Latin America
    • 10.4.1 Brazil
      • 10.4.1.1 Market Trends
      • 10.4.1.2 Market Forecast
    • 10.4.2 Mexico
      • 10.4.2.1 Market Trends
      • 10.4.2.2 Market Forecast
    • 10.4.3 Others
      • 10.4.3.1 Market Trends
      • 10.4.3.2 Market Forecast
  • 10.5 Middle East and Africa
    • 10.5.1 Market Trends
    • 10.5.2 Market Breakup by Country
    • 10.5.3 Market Forecast

11 SWOT Analysis

  • 11.1 Overview
  • 11.2 Strengths
  • 11.3 Weaknesses
  • 11.4 Opportunities
  • 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

  • 13.1 Overview
  • 13.2 Bargaining Power of Buyers
  • 13.3 Bargaining Power of Suppliers
  • 13.4 Degree of Competition
  • 13.5 Threat of New Entrants
  • 13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

  • 15.1 Market Structure
  • 15.2 Key Players
  • 15.3 Profiles of Key Players
    • 15.3.1 Axway
      • 15.3.1.1 Company Overview
      • 15.3.1.2 Product Portfolio
    • 15.3.2 Capgemini SE
      • 15.3.2.1 Company Overview
      • 15.3.2.2 Product Portfolio
      • 15.3.2.3 Financials
      • 15.3.2.4 SWOT Analysis
    • 15.3.3 International Business Machines Corporation
      • 15.3.3.1 Company Overview
      • 15.3.3.2 Product Portfolio
      • 15.3.3.3 Financials
      • 15.3.3.4 SWOT Analysis
    • 15.3.4 Infor Inc (Koch Industries Inc.)
      • 15.3.4.1 Company Overview
      • 15.3.4.2 Product Portfolio
    • 15.3.5 Kinaxis Inc.
      • 15.3.5.1 Company Overview
      • 15.3.5.2 Product Portfolio
      • 15.3.5.3 Financials
    • 15.3.6 Manhattan Associates Inc.
      • 15.3.6.1 Company Overview
      • 15.3.6.2 Product Portfolio
      • 15.3.6.3 Financials
      • 15.3.6.4 SWOT Analysis
    • 15.3.7 Microstrategy Incorporated
      • 15.3.7.1 Company Overview
      • 15.3.7.2 Product Portfolio
      • 15.3.7.3 Financials
      • 15.3.7.4 SWOT Analysis
    • 15.3.8 Oracle Corporation
      • 15.3.8.1 Company Overview
      • 15.3.8.2 Product Portfolio
      • 15.3.8.3 Financials
      • 15.3.8.4 SWOT Analysis
    • 15.3.9 QlikTech International AB
      • 15.3.9.1 Company Overview
      • 15.3.9.2 Product Portfolio
    • 15.3.10 SAP SE
      • 15.3.10.1 Company Overview
      • 15.3.10.2 Product Portfolio
      • 15.3.10.3 Financials
      • 15.3.10.4 SWOT Analysis
    • 15.3.11 SAS Institute Inc.
      • 15.3.11.1 Company Overview
      • 15.3.11.2 Product Portfolio
      • 15.3.11.3 SWOT Analysis
    • 15.3.12 Tableau Software LLC (Salesforce Inc.)
      • 15.3.12.1 Company Overview
      • 15.3.12.2 Product Portfolio

List of Figures

  • Figure 1: Global: Supply Chain Analytics Market: Major Drivers and Challenges
  • Figure 2: Global: Supply Chain Analytics Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Supply Chain Analytics Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Supply Chain Analytics Market: Breakup by Component (in %), 2023
  • Figure 5: Global: Supply Chain Analytics Market: Breakup by Deployment Mode (in %), 2023
  • Figure 6: Global: Supply Chain Analytics Market: Breakup by Enterprise Size (in %), 2023
  • Figure 7: Global: Supply Chain Analytics Market: Breakup by Industry Vertical (in %), 2023
  • Figure 8: Global: Supply Chain Analytics Market: Breakup by Region (in %), 2023
  • Figure 9: Global: Supply Chain Analytics (Software) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 10: Global: Supply Chain Analytics (Software) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 11: Global: Supply Chain Analytics (Services) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 12: Global: Supply Chain Analytics (Services) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 13: Global: Supply Chain Analytics (On-premises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 14: Global: Supply Chain Analytics (On-premises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 15: Global: Supply Chain Analytics (Cloud-based) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 16: Global: Supply Chain Analytics (Cloud-based) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 17: Global: Supply Chain Analytics (Large Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 18: Global: Supply Chain Analytics (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 19: Global: Supply Chain Analytics (Small and Medium Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 20: Global: Supply Chain Analytics (Small and Medium Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 21: Global: Supply Chain Analytics (Automotive) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 22: Global: Supply Chain Analytics (Automotive) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 23: Global: Supply Chain Analytics (Food and Beverages) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 24: Global: Supply Chain Analytics (Food and Beverages) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 25: Global: Supply Chain Analytics (Healthcare and Pharmaceuticals) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 26: Global: Supply Chain Analytics (Healthcare and Pharmaceuticals) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 27: Global: Supply Chain Analytics (Manufacturing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 28: Global: Supply Chain Analytics (Manufacturing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 29: Global: Supply Chain Analytics (Retail and Consumer Goods) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 30: Global: Supply Chain Analytics (Retail and Consumer Goods) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 31: Global: Supply Chain Analytics (Transportation and Logistics) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 32: Global: Supply Chain Analytics (Transportation and Logistics) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 33: Global: Supply Chain Analytics (Other Industry Verticals) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 34: Global: Supply Chain Analytics (Other Industry Verticals) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 35: North America: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 36: North America: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 37: United States: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 38: United States: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 39: Canada: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 40: Canada: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 41: Asia-Pacific: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 42: Asia-Pacific: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 43: China: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 44: China: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 45: Japan: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 46: Japan: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 47: India: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 48: India: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 49: South Korea: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 50: South Korea: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 51: Australia: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 52: Australia: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 53: Indonesia: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 54: Indonesia: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 55: Others: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 56: Others: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 57: Europe: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 58: Europe: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 59: Germany: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 60: Germany: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 61: France: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 62: France: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 63: United Kingdom: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 64: United Kingdom: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 65: Italy: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 66: Italy: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 67: Spain: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 68: Spain: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 69: Russia: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 70: Russia: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 71: Others: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 72: Others: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 73: Latin America: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 74: Latin America: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 75: Brazil: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 76: Brazil: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 77: Mexico: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 78: Mexico: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 79: Others: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 80: Others: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 81: Middle East and Africa: Supply Chain Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 82: Middle East and Africa: Supply Chain Analytics Market: Breakup by Country (in %), 2023
  • Figure 83: Middle East and Africa: Supply Chain Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 84: Global: Supply Chain Analytics Industry: SWOT Analysis
  • Figure 85: Global: Supply Chain Analytics Industry: Value Chain Analysis
  • Figure 86: Global: Supply Chain Analytics Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Supply Chain Analytics Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Supply Chain Analytics Market Forecast: Breakup by Component (in Million US$), 2024-2032
  • Table 3: Global: Supply Chain Analytics Market Forecast: Breakup by Deployment Mode (in Million US$), 2024-2032
  • Table 4: Global: Supply Chain Analytics Market Forecast: Breakup by Enterprise Size (in Million US$), 2024-2032
  • Table 5: Global: Supply Chain Analytics Market Forecast: Breakup by Industry Vertical (in Million US$), 2024-2032
  • Table 6: Global: Supply Chain Analytics Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 7: Global: Supply Chain Analytics Market: Competitive Structure
  • Table 8: Global: Supply Chain Analytics Market: Key Players