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商品編碼
1832005

2025 年至 2033 年供應鏈分析市場規模、佔有率、趨勢和預測（按組件、部署模式、企業規模、行業垂直和地區分類）

Supply Chain Analytics Market Size, Share, Trends and Forecast by Component, Deployment Mode, Enterprise Size, Industry Vertical, and Region, 2025-2033
出版日期: | 出版商: IMARC | 英文 136 Pages | 商品交期: 2-3個工作天內

價格

2024年，全球供應鏈分析市場規模達93.9億美元。展望未來， IMARC Group預測，到2033年，該市場規模將達到322.7億美元，2025年至2033年的複合年成長率為16.69%。北美目前佔據市場主導地位，2024年的市佔率將超過36.9%。北美地區的成長得益於技術進步、強勁的電子商務活動以及供應鏈分析應用的日益普及。

企業依靠即時分析來監控和最佳化其供應鏈營運。這些解決方案提供可行的見解，使企業能夠提高效率、適應市場變化並增強決策能力，從而確保在動態環境中的競爭力。此外，人工智慧 (AI)、機器學習 (ML)、巨量資料和物聯網 (IoT) 等先進技術的整合正在徹底改變供應鏈分析。這些創新增強了預測分析和規格分析，使企業能夠準確預測需求、主動管理風險並精確最佳化營運。除此之外，企業還使用分析來識別效率低下之處、降低營運成本並提高獲利能力。這些工具提供有關採購、庫存管理和物流的詳細見解，幫助企業有效分配資源並最大化投資回報。

美國在市場中佔據關鍵地位，這得益於領先科技公司提供的整合分析解決方案的進步。這些解決方案使企業能夠獲得即時、客製化的儀表板和報告，從而改善決策並最佳化營運。 2024年，AWS宣布AWS供應鏈現已包含由Amazon QuickSight驅動的嵌入式分析功能。此功能提供可調整的儀錶板和報告，以改善供應鏈活動，並與需求計劃等現有應用程式無縫整合。它可以在美國、歐洲和亞太地區等特定地區找到。此外，網上購物的興起也為物流、庫存控制和客戶滿意度帶來了挑戰。供應鏈分析對於應對需求波動、最佳化最後一哩交付和滿足用戶期望至關重要，這促進了其在電子商務行業的應用。

供應鏈分析市場趨勢：

企業數位轉型不斷興起

企業數位轉型的不斷發展正在對供應鏈分析市場的擴張產生積極的影響。根據世界銀行的資料，2020 年 4 月至 2022 年 12 月期間，微型企業（員工少於 4 人）投資數位解決方案的比例加倍，從 10% 增加到 20%，而大型企業（員工超過 100 人）的比例增加了兩倍，從 20% 增加到 60%。除此之外，企業也持續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中斷或瓶頸。

供應鏈端到端可視性和透明度的需求不斷增加

對供應鏈全面洞察和清晰度日益成長的需求，推動了對供應鏈分析的需求。不同行業的公司都意識到即時洞察供應鏈活動至關重要。他們正逐步將資源配置到複雜的分析解決方案中，以持續洞察供應鏈的各個環節，從原料採購到最終產品分銷。一家領先顧問公司進行的研究表明，約93%的組織表示有意繼續增加對資料和分析的投資。此外，企業正在積極採用供應鏈分析系統，該系統可以監控、追蹤和分析來自供應商、物流公司和內部流程等眾多來源的資料。這種即時監控使他們能夠快速應對中斷、找出瓶頸、改善庫存水準並提升整體營運效率。此外，個人對產品可追溯性、永續性和道德採購的了解日益加深，也促使企業提高其供應鏈的完全透明度。

個人網上購物活動日益增多

個人網購活動日益增多的增多，也推動了對供應鏈分析的需求。根據國際貿易管理局的資料，預計到2027年，全球B2C電子商務收入將達到5.5兆美元，年複合成長率將達到14.4%。此外，隨著消費者擴大轉向線上平台購物，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、複雜的物流以及對庫存和訂單履行情況的即時可視性。為了因應這些不斷變化的需求，企業正在轉向供應鏈分析解決方案，以獲取切實可行的洞察並最佳化營運。此外，受全球供應鏈中斷和意外事件等因素的驅動，對供應鏈彈性和敏捷性的維護也日益重要。網購的持續成長凸顯了供應鏈分析在風險規避方面的重要性，它使企業能夠主動識別漏洞、制定緊急應變計畫並確保業務連續性。

區塊鏈整合提供數據清晰度

區塊鏈技術與供應鏈分析的整合標誌著一個重要趨勢，它促進了各行各業的效率、問責制和資料透明度。利用區塊鏈去中心化且不可篡改的帳本技術，供應鏈營運實現了更高的可追溯性，確保每筆交易或貨物轉移都得到精確記錄和確認。這種能力降低了與詐欺、錯誤和低效率相關的風險，同時增進了利害關係人之間的信任。此外，區塊鏈能夠促進供應鏈利害關係人之間的資料交換，從而提高決策和營運彈性。由於區塊鏈能夠即時追蹤材料和產品從原產地到最終消費者的全過程，遵守永續性標準和道德採購的需求日益成長，此類解決方案的需求也日益成長。這些發展使區塊鏈成為促進市場擴張和轉變供應鏈管理方法的關鍵工具。 2024年，SmartMatrix推出了其區塊鏈和人工智慧整合平台，以改善供應鏈管理。

目錄

第1章：前言

第2章：範圍與方法

  • 研究目標
  • 利害關係人
  • 資料來源
    • 主要來源
    • 二手資料
  • 市場評估
    • 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

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：市場細分：按組成部分

  • 軟體
    • 關鍵部分
      • 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
  • 服務
    • 關鍵部分
      • 專業的
      • 支援和維護

第7章：市場區隔：依部署模式

  • 本地
  • 基於雲端

第8章：市場區隔：依企業規模

  • 大型企業
  • 中小企業

第9章：市場區隔：依垂直產業

  • 汽車
  • 食品和飲料
  • 醫療保健和製藥
  • 製造業
  • 零售和消費品
  • 運輸和物流
  • 其他

第10章：市場細分：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

第 11 章：SWOT 分析

第 12 章：價值鏈分析

第 13 章：波特五力分析

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: SR112025A4520

The global supply chain analytics market size was valued at USD 9.39 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 32.27 Billion by 2033, exhibiting a CAGR of 16.69% from 2025-2033. North America currently dominates the market, holding a market share of over 36.9% in 2024. The growth of the North American region is driven by technological advancements, robust e-commerce activity, and increasing adoption of supply chain analytics.

Organizations are relying on real-time analytics to monitor and optimize their supply chain operations. These solutions provide actionable insights, enabling businesses to improve efficiency, adapt to market changes, and enhance decision-making, ensuring competitiveness in dynamic environments. Furthermore, the integration of advanced technologies such as artificial intelligence (AI), machine learning (ML), big data, and the internet of things (IoT) are revolutionizing supply chain analytics. These innovations enhance predictive and prescriptive analytics, enabling businesses to forecast demand accurately, manage risks proactively, and optimize operations with precision. Besides this, businesses are using analytics to identify inefficiencies, reduce operational costs, and improve profitability. These tools offer detailed insights into procurement, inventory management, and logistics, helping organizations allocate resources effectively and maximize return on investment.

The United States is pivotal in the market, supported by progress in integrated analytics solutions provided by leading technology companies. These solutions allow companies to obtain real-time, tailored dashboards and reports that improve decision-making and optimize operations. In 2024, AWS revealed that AWS Supply Chain now includes embedded analytics driven by Amazon QuickSight. This functionality offers adjustable dashboards and reports to improve supply chain activities, integrating smoothly with current applications such as Demand Planning. It can be found in specific areas, such as the US, Europe, and Asia-Pacific. In addition to this, the rise of online shopping is bringing challenges in logistics, inventory control, and customer satisfaction. Supply chain analytics is essential for handling demand fluctuations, optimizing last-mile deliveries, and fulfilling user expectations, which encourages its use in the e-commerce industry.

Supply Chain Analytics Market Trends:

Rising 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. According to World Bank data, between April 2020 and December 2022, the proportion of microbusinesses (those with less than four employees) investing in digital solutions doubled from 10% to 20%, while the rate for large businesses (those with more than 100 employees) tripled from 20% to 60%. 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 & recognize disruptions or bottlenecks in the supply chain.

Increasing Demand for End-to-end Visibility and Transparency in Supply Chains

The rising need for comprehensive insight and clarity in supply chains is driving the demand for the supply chain analytics. Companies in different sectors are acknowledging the vital significance of having real-time insights into their supply chain activities. They are progressively allocating resources to sophisticated analytics solutions to achieve ongoing insight into all aspects of their supply chain, ranging from raw material procurement to final product distribution. In a study carried out by a leading consulting firm, roughly 93% of organizations reported their intention to keep boosting investments in data and analytics. Additionally, businesses are actively adopting supply chain analytics systems that can monitor, track, and analyze data from countless sources, such as suppliers, logistics companies, and internal processes. This immediate monitoring allows them to quickly address disruptions, pinpoint bottlenecks, improve inventory levels, and boost overall operational efficiency. Additionally, the increasing individual knowledge regarding product traceability, sustainability, and ethical sourcing is motivating companies to offer complete transparency into their supply chains.

Growing Online Shopping Activities of Individuals

The increasing online shopping activities of individuals are bolstering the demand for supply chain analytics. Global B2C e-commerce revenue is predicted to reach USD 5.5 Trillion by 2027 at a consistent 14.4% compound annual growth rate, according to data from the International Trade Administration. 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.

Blockchain Integration to Provide Data Clarity

The convergence of blockchain technology with supply chain analytics signifies a major trend promoting efficiency, accountability, and data transparency in various sectors. Utilizing blockchain's decentralized and unchangeable ledger technology, supply chain operations achieve improved traceability, guaranteeing that each transaction or transfer of goods is precisely documented and confirmed. This ability reduces risks linked to fraud, mistakes, and inefficiencies, while promoting trust between stakeholders. Moreover, blockchain's capacity to facilitate data exchange among supply chain stakeholders improves decision-making and operational flexibility. The necessity for such solutions is increasingly driven by the rising need for adherence to sustainability standards and ethical sourcing, as blockchain facilitates immediate tracking of materials and products from their origin to the final consumer. These developments establish blockchain as a crucial instrument in promoting market expansion and transforming supply chain management approaches. In 2024, SmartMatrix unveiled its blockchain and AI integrated platform to improve supply chain management.

Supply Chain Analytics Industry Segmentation:

Analysis 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) leads the market with 27.6% of market share in 2024. The software segment holds the biggest market share, driven by its ability to offer tailored insights across various operational areas. Tools like demand analysis and forecasting help businesses predict customer needs accurately, reducing overstock or stockouts. Supplier performance analytics enhances vendor relationships by evaluating delivery timelines, quality metrics, and overall reliability, leading to better decision-making. Spend and procurement analytics provide visibility into purchasing patterns, enabling cost savings and streamlined supplier selection. Inventory analytics ensures optimized stock levels by analyzing turnover rates, demand variability, and storage costs, minimizing waste and improving efficiency. Transportation and logistics analytics enhance route optimization, carrier selection, and freight cost management, resulting in faster deliveries and reduced expenses. These solutions collectively empower businesses with real-time data visualization and actionable insights, fostering agility and competitiveness.

Analysis by Deployment Mode:

  • On-premises
  • Cloud-based

On-premises dominates the market with a 61.2% share in 2024. On-premises supply chain analytics entails implementing and managing analytics software and tools within the organization's own infrastructure, providing greater control and customization. This method enables organizations to customize their analytics environment to match particular operational requirements and business objectives, ensuring smooth integration with current systems. By overseeing the complete analytics stack internally, companies can enforce strong security measures, access controls, and data governance protocols, essential for sectors handling sensitive data or strict regulatory requirements. Additionally, on-premises solutions remove reliance on external networks, providing quicker data access and processing, particularly in areas with inconsistent or poor internet connection. This configuration is especially beneficial for organizations dealing with large data volumes and applications that are sensitive to latency. Moreover, on-premises analytics offers lasting financial advantages by eliminating ongoing cloud subscription expenses. It also provides the capability to maintain complete ownership and control of data, safeguarding privacy and reducing risks tied to third-party data management.

Analysis by Enterprise Size:

  • Large Enterprises
  • Small and Medium Enterprises

Large enterprises lead the market with 58.9% of market share in 2024. Large enterprises require supply chain analytics to enhance efficiency, competitiveness, and profitability by addressing the complexities of their operations. Analytics enables these organizations to better understand demand patterns, lead times, and seasonality, allowing for precise forecasting and inventory management. With complex manufacturing and distribution networks, supply chain analytics helps streamline operations, minimize lead times, and optimize resource allocation, improving overall operational efficiency. Moreover, by leveraging analytics, large enterprises can enhance client service through better order accuracy, shorter delivery times, and the ability to meet user demands effectively. Additionally, supply chain analytics supports adherence to environmental, social, and governance (ESG) standards by tracking compliance and identifying areas for improvement. It also plays a key role in mitigating risks, identifying potential disruptions, and developing contingency plans.

Analysis by Industry Vertical:

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

Manufacturing leads the market with 23.8% of market share in 2024. Supply chain analytics plays a crucial role in optimizing the manufacturing sector by enabling producers to predict demand more accurately through the analysis of historical sales data, market trends, and economic indicators. This precision allows for improved production planning and the prevention of overproduction or stockouts. Manufacturers use analytics to optimize inventory levels by evaluating factors such as lead times, demand variability, and production capacity, which helps determine the ideal stock levels to lower carrying costs while maintaining product availability. Additionally, supply chain analytics streamlines production schedules, reducing downtime by identifying bottlenecks and ensuring alignment with demand forecasts. In logistics, it enhances efficiency by optimizing transportation routes, selecting cost-effective carriers, and minimizing shipping costs. Advanced analytics also provides insights into supplier performance, helping manufacturers build stronger, more reliable partnerships.

Regional Analysis:

  • 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

In 2024, North America represented the largest share of the market at 36.9%. North America leads the market because of its sophisticated technological framework and a significant emphasis on digital transformation in various sectors. The area gains advantages from the extensive use of advanced analytical tools, artificial intelligence, and machine learning, which are incorporated into supply chain processes to improve efficiency and decision-making. Furthermore, the area hosts many global technology suppliers and innovators in supply chain solutions, fostering a competitive environment that promotes ongoing progress. The regulatory framework in the area encourages the adoption of data-driven solutions, guaranteeing secure and compliant practices. Moreover, the growth of e-commerce in North America is also boosting the need for real-time tracking, inventory optimization, and predictive analytics, allowing companies to fulfill consumer demands for swift and precise deliveries. IMARC Group estimates that the e-commerce industry in the United States will attain US$ 2,083.97 Billion by 2032, demonstrating a compound annual growth rate (CAGR) of 6.80% from 2024 to 2032.

Key Regional Takeaways:

United States Supply Chain Analytics Market Analysis

In North America, the United States accounted for 80.00% of the total market share. The increasing complexity of supply networks and the requirement for real-time data-driven decision-making are driving the supply chain analytics industry in the US. With U.S. e-commerce sales reaching USD 1 Trillion in 2023 and expected to reach USD 1.22 Trillion in 2024 as per industry reports, businesses are using advanced analytics to streamline inventory control, speed up delivery, and enhance customer happiness. Artificial intelligence (AI) and machine learning (ML) are being rapidly used in supply chain operations; in 2024, several organizations reported spending more on AI-driven analytics solutions.

Strengthening the domestic production side and decreasing dependence on foreign supply chains through government programs is the CHIPS Act for the semiconductor industry. The increasing cybersecurity risks and regulations compliance are pushing the adoption of predictive and prescriptive analytics to avoid risks. Analytics help supply chain resilience, supplier performance assessments, and demand forecasting make the retail and healthcare sectors important drivers as well.

Europe Supply Chain Analytics Market Analysis

The market for supply chain analytics in Europe is driven by the region's focus on digital transformation, sustainability, and compliance with stringent laws. The European Union's Green Deal and carbon neutrality goals are driving businesses to use analytics to monitor carbon footprints and optimize resource usage. According to data from European Commission, around 33% of European businesses used analytics technologies in 2023 to achieve sustainability objectives.

Supply chain analytics are being driven up by digital transformation initiatives across manufacturing, retail, and automotive. The leading adopters, such as Germany, France, and the UK, utilize analytics to calculate demand, plan production, and interact with suppliers. For instance, the auto industry utilizes analytics to tackle the complexities of supply chains of electric vehicles. Moreover, the COVID-19 pandemic and current geopolitical tensions have focused attention on the necessity of Europe to reduce the potential of supply chain disruptions, thus hastening the adoption of risk analytics technologies. As reported in studies, companies using analytics in their supply chains realized a 30% gain in efficiency.

Asia Pacific Supply Chain Analytics Market Analysis

Asia-Pacific's fast-paced industrialization, the booming e-commerce industry, and its digitalization aspirations have placed it at the forefront as the region with the most rapidly growing supply chain analytics market. Heads above everyone, though, are China and India, whose upscale manufacturing facilities and ever-increasing transportation systems require them to wield sophisticated analytics tools. Statistics from the International Trade Administration indicate that business-to-business e-commerce in Asia is growing at an average of 15% in the region every year; an outgrowth which is relatively stronger than the 14.5% gross merchandise value every year that the worldwide would experience. As part of their digital transformation targets, governments in countries like Singapore, South Korea, and Japan are promoting smart supply chain solutions. For example, "Made in China 2025" program in China encourages smart manufacturing and adoption of analytics in supply chain management. Demand is growing in the market in the region because cross border trade is becoming increasingly complicated and requires efficient port operations to manage it.

Latin America Supply Chain Analytics Market Analysis

The market for supply chain analytics is growing in Latin America due to the rising popularity of e-commerce and investments in logistics infrastructure. Given the extensive activities to promote supply chains in the region, the scope of supply chain analytics is tremendous, as the top two markets are businesses that deploy analytics to enhance customer satisfaction and operational efficiency. For instance, the Inter-American Development Bank (IDB) has provided Panama with a Policy-Based Loan (PBL) of USD 200 Million for improving the competitiveness of the logistics industry by removing institutional and regulatory barriers. The desire for supply chain efficiency and transparency has also contributed to the use of analytics amid economic uncertainty. Demand forecasting and production planning analytics tools also greatly help industries like retail and agriculture, which propels regional market growth.

Middle East and Africa Supply Chain Analytics Market Analysis

The increased emphasis on logistics and trade facilitation in the Middle East and Africa is driving the market for supply chain analytics in these regions. The United Arab Emirates and Saudi Arabia lead the market as its major infrastructure projects, including Saudi Vision 2030, promote the use of supply chain management to go more digital. The adoption of analytics is also propelled by the growing retail and e-commerce industries in the region, which have more intensive requirements for efficient inventory and logistics management. Industry forecasts reveal that the e-commerce market of the Middle East is bound to surge. It is anticipated that the market will be worth USD 50 Billion by 2025. Analytics technologies also help solve problems like resource optimization and supply chain breaks, which are essential for agriculture and oil & gas sectors.

Competitive Landscape:

Major market participants are integrating IoT devices and sensors to gather real-time data from multiple points in the supply chain, allowing for improved visibility and decision-making. They are incorporating sustainability metrics into their analytic solutions to assist organizations in minimizing their carbon footprint, optimizing routes, and making environmentally friendly sourcing choices. Moreover, top firms are significantly investing in sophisticated analytics technologies, such as ML, AI, and predictive analytics, as these tools allow for improved demand forecasting, inventory optimization, and the discovery of cost-saving opportunities. They are likewise broadening their cloud services to serve more clients and deliver real-time data analysis features. In September 2023, International Business Machines Corporation revealed the growth of its IBM cloud security and compliance center designed to assist organizations in reducing risk and safeguarding data within their hybrid, multi-cloud settings and tasks.

The report provides a comprehensive analysis of the competitive landscape in the supply chain analytics market with detailed profiles of all major companies, including:

  • 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.)

Key Questions Answered in This Report

  • 1.What is supply chain analytics?
  • 2.How big is the supply chain analytics market?
  • 3.What is the expected growth rate of the global supply chain analytics market during 2025-2033?
  • 4.What are the key factors driving the global supply chain analytics market?
  • 5.What is the leading segment of the global supply chain analytics market based on component?
  • 6.What is the leading segment of the global supply chain analytics market based on deployment mode?
  • 7.What is the leading segment of the global supply chain analytics market based on enterprise size?
  • 8.What is the leading segment of the global supply chain analytics market based on 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 USD), 2019-2024
  • Figure 3: Global: Supply Chain Analytics Market Forecast: Sales Value (in Billion USD), 2025-2033
  • Figure 4: Global: Supply Chain Analytics Market: Breakup by Component (in %), 2024
  • Figure 5: Global: Supply Chain Analytics Market: Breakup by Deployment Mode (in %), 2024
  • Figure 6: Global: Supply Chain Analytics Market: Breakup by Enterprise Size (in %), 2024
  • Figure 7: Global: Supply Chain Analytics Market: Breakup by Industry Vertical (in %), 2024
  • Figure 8: Global: Supply Chain Analytics Market: Breakup by Region (in %), 2024
  • Figure 9: Global: Supply Chain Analytics (Software) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 10: Global: Supply Chain Analytics (Software) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 11: Global: Supply Chain Analytics (Services) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 12: Global: Supply Chain Analytics (Services) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 13: Global: Supply Chain Analytics (On-premises) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 14: Global: Supply Chain Analytics (On-premises) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 15: Global: Supply Chain Analytics (Cloud-based) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 16: Global: Supply Chain Analytics (Cloud-based) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 17: Global: Supply Chain Analytics (Large Enterprises) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 18: Global: Supply Chain Analytics (Large Enterprises) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 19: Global: Supply Chain Analytics (Small and Medium Enterprises) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 20: Global: Supply Chain Analytics (Small and Medium Enterprises) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 21: Global: Supply Chain Analytics (Automotive) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 22: Global: Supply Chain Analytics (Automotive) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 23: Global: Supply Chain Analytics (Food and Beverages) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 24: Global: Supply Chain Analytics (Food and Beverages) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 25: Global: Supply Chain Analytics (Healthcare and Pharmaceuticals) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 26: Global: Supply Chain Analytics (Healthcare and Pharmaceuticals) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 27: Global: Supply Chain Analytics (Manufacturing) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 28: Global: Supply Chain Analytics (Manufacturing) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 29: Global: Supply Chain Analytics (Retail and Consumer Goods) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 30: Global: Supply Chain Analytics (Retail and Consumer Goods) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 31: Global: Supply Chain Analytics (Transportation and Logistics) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 32: Global: Supply Chain Analytics (Transportation and Logistics) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 33: Global: Supply Chain Analytics (Other Industry Verticals) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 34: Global: Supply Chain Analytics (Other Industry Verticals) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 35: North America: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 36: North America: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 37: United States: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 38: United States: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 39: Canada: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 40: Canada: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 41: Asia-Pacific: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 42: Asia-Pacific: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 43: China: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 44: China: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 45: Japan: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 46: Japan: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 47: India: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 48: India: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 49: South Korea: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 50: South Korea: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 51: Australia: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 52: Australia: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 53: Indonesia: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 54: Indonesia: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 55: Others: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 56: Others: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 57: Europe: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 58: Europe: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 59: Germany: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 60: Germany: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 61: France: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 62: France: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 63: United Kingdom: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 64: United Kingdom: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 65: Italy: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 66: Italy: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 67: Spain: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 68: Spain: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 69: Russia: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 70: Russia: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 71: Others: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 72: Others: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 73: Latin America: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 74: Latin America: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 75: Brazil: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 76: Brazil: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 77: Mexico: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 78: Mexico: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 79: Others: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 80: Others: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 81: Middle East and Africa: Supply Chain Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 82: Middle East and Africa: Supply Chain Analytics Market: Breakup by Country (in %), 2024
  • Figure 83: Middle East and Africa: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • 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, 2024 and 2033
  • Table 2: Global: Supply Chain Analytics Market Forecast: Breakup by Component (in Million USD), 2025-2033
  • Table 3: Global: Supply Chain Analytics Market Forecast: Breakup by Deployment Mode (in Million USD), 2025-2033
  • Table 4: Global: Supply Chain Analytics Market Forecast: Breakup by Enterprise Size (in Million USD), 2025-2033
  • Table 5: Global: Supply Chain Analytics Market Forecast: Breakup by Industry Vertical (in Million USD), 2025-2033
  • Table 6: Global: Supply Chain Analytics Market Forecast: Breakup by Region (in Million USD), 2025-2033
  • Table 7: Global: Supply Chain Analytics Market: Competitive Structure
  • Table 8: Global: Supply Chain Analytics Market: Key Players