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1561457

2024-2032 年按組件、部署模式、企業規模、垂直產業和地區分類的供應鏈分析市場報告

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個工作天內

價格

2023 年，全球供應鏈分析市場IMARC Group達到 81 億美元。企業數位轉型的不斷發展、對供應鏈端到端可見度和透明度的需求不斷成長，以及個人從電子商務平台購買產品和服務的線上購物活動不斷增加，是推動市場發展的主要因素。

供應鏈分析是指收集、檢查和解釋供應鏈內各個來源的資料的過程，以獲得可行的見解、最佳化營運並做出明智的決策。它結合了統計技術、資料探勘、預測建模和商業智慧，將原始資料轉化為有價值的訊息，幫助組織簡化其供應鏈流程並實現策略目標。它透過確保產品可用性和按時交付來提高客戶滿意度和忠誠度。它還使公司能夠透過更快地響應市場變化和客戶需求來獲得競爭優勢。

目前，對供應鏈分析以最佳化庫存水準、生產計劃和採購的需求不斷成長，正在推動市場的成長。除此之外，人們日益關注有效分析庫存水準、週轉率和交貨時間，以降低運輸成本，同時確保產品可用性，這有助於市場的成長。此外，供應鏈分析在識別和減輕潛在供應鏈中斷（包括自然災害或地緣政治事件）方面的日益整合，正在提供有利的市場前景。除此之外，越來越多的組織採用先進的分析解決方案來提高營運效率、降低成本並提高整體供應鏈視覺性，這正在支持市場的成長。此外，巨量資料和物聯網（IoT）的不斷普及正在加強市場成長。

供應鏈分析市場趨勢/促進因素：

企業數位轉型不斷推動

目前，企業日益成長的數位轉型正在對供應鏈分析市場的擴張產生積極影響。除此之外，組織不斷投資先進的資料分析技術和工具，以利用巨量資料的力量。這項投資使企業能夠即時捕獲、儲存和分析大量供應鏈資料。因此，公司能夠更好地做出正確的決策並持續最佳化其供應鏈營運。此外，將人工智慧 (AI) 和機器學習 (ML) 演算法納入供應鏈分析解決方案正在增強其功能。這些技術支援預測性和規範性分析，使企業能夠預測需求波動、最佳化庫存水準並識別供應鏈中的潛在瓶頸或中斷。

對供應鏈端到端可見性和透明度的需求不斷成長

對供應鏈端到端可見性和透明度的需求不斷成長，正在推動供應鏈分析市場的成長。除此之外，各行業的組織都認知到即時洞察其供應鏈運作的至關重要性。他們擴大投資於先進的分析解決方案，以持續了解供應鏈的各個方面，包括原料採購和最終產品交付。此外，公司正在積極實施供應鏈分析平台，該平台能夠監控、追蹤和分析來自無數來源（包括供應商、物流提供者和內部營運）的資料。這種即時監控使他們能夠快速回應中斷、識別瓶頸、最佳化庫存水準並提高整體營運效率。此外，消費者對產品可追溯性、永續性和道德採購的意識不斷增強，迫使企業提供對其供應鏈的全面可見性。

個人網上購物活動增加

個人線上購物活動的增加正在推動對供應鏈分析的需求。除此之外，隨著消費者擴大轉向線上平台進行購買，企業在有效管理供應鏈方面面臨許多挑戰。這些挑戰包括波動的需求模式、複雜的物流以及即時了解庫存和訂單履行的需要。為了滿足這些不斷變化的需求，公司正在轉向供應鏈分析解決方案，作為獲得可行見解和最佳化營運的手段。此外，在全球中斷和意外事件等因素的推動下，供應鏈彈性和敏捷性的維持有所提升。線上購物的持續成長強化了供應鏈分析在降低風險方面的重要性，使組織能夠主動識別漏洞、制定應急計畫並確保業務連續性。

目錄

第1章：前言

第 2 章：範圍與方法

  • 研究目的
  • 利害關係人
  • 數據來源
    • 主要來源
    • 二手資料
  • 市場預測
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第 3 章：執行摘要

第 4 章：簡介

  • 概述
  • 主要行業趨勢

第 5 章：全球供應鏈分析市場

  • 市場概況
  • 市場表現
  • COVID-19 的影響
  • 市場預測

第 6 章：市場區隔：按組成部分

  • 軟體
    • 市場趨勢
    • 關鍵環節
      • 需求分析與預測
      • 供應商績效分析
      • 支出和採購分析
      • 庫存分析
      • 運輸和物流分析
    • 市場預測
  • 服務
    • 市場趨勢
    • 關鍵環節
      • 專業的
      • 支援與維護
    • 市場預測

第 7 章：市場區隔：依部署模式

  • 本地
    • 市場趨勢
    • 市場預測
  • 基於雲端
    • 市場趨勢
    • 市場預測

第 8 章：市場區隔：依企業規模

  • 大型企業
    • 市場趨勢
    • 市場預測
  • 中小企業
    • 市場趨勢
    • 市場預測

第 9 章：市場區隔：依垂直產業

  • 汽車
    • 市場趨勢
    • 市場預測
  • 食品和飲料
    • 市場趨勢
    • 市場預測
  • 醫療保健和製藥
    • 市場趨勢
    • 市場預測
  • 製造業
    • 市場趨勢
    • 市場預測
  • 零售和消費品
    • 市場趨勢
    • 市場預測
  • 運輸與物流
    • 市場趨勢
    • 市場預測
  • 其他
    • 市場趨勢
    • 市場預測

第 10 章：市場區隔：按地區

  • 北美洲
    • 美國
    • 加拿大
  • 亞太
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 其他
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他
  • 中東和非洲
    • 市場趨勢
    • 市場細分：按國家/地區
    • 市場預測

第 11 章：SWOT 分析

  • 概述
  • 優勢
  • 弱點
  • 機會
  • 威脅

第 12 章：價值鏈分析

第 13 章：波特五力分析

  • 概述
  • 買家的議價能力
  • 供應商的議價能力
  • 競爭程度
  • 新進入者的威脅
  • 替代品的威脅

第 14 章：價格分析

第15章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • 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