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市场调查报告书
商品编码
2009115

供应链分析市场规模、份额、趋势和预测：按组件、部署类型、企业规模、行业和地区划分，2026-2034 年

Supply Chain Analytics Market Size, Share, Trends and Forecast by Component, Deployment Mode, Enterprise Size, Industry Vertical, and Region, 2026-2034
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

2025年全球供应链分析市场规模为110亿美元。展望未来，IMARC集团预测，该市场将以15.85%的复合年增长率从2026年增长至2034年，到2034年达到412亿美元。目前，北美市场主导地位，预计2025年市占率将超过36.9%。北美地区的成长主要得益于技术进步、活跃的电子商务活动以及供应链分析技术的日益普及。

企业正依靠即时分析来监控和优化其供应链营运。这些解决方案提供可执行的洞察，使企业能够提高效率、适应市场变化、强化决策，并在瞬息万变的环境中保持竞争优势。此外，人工智慧 (AI)、机器学习 (ML)、巨量资料和物联网 (IoT) 等先进技术的融合正在革新供应链分析。这些创新增强了预测性和指导性分析，使企业能够准确预测需求、主动管理风险并精准优化营运。此外，企业也利用分析来识别低效环节、降低营运成本并提高盈利。这些工具提供对采购、库存管理和物流的详细洞察，帮助企业有效分配资源并最大化投资报酬率 (ROI)。

美国在这​​一市场中扮演着至关重要的角色，这得益于主要企业不断推进的整合分析解决方案。这些解决方案为企业提供即时、客製化的仪表板和报告，从而改善决策并优化营运。 2024年，AWS宣布在AWS供应链中新增由Amazon QuickSight提供支援的嵌入式分析功能。该功能提供可自订的仪錶板和报告，以改善供应链活动，并与需求计划等现有应用程式无缝整合。该功能目前在包括美国、欧洲和亚太地区在内的特定区域可用。此外，网路购物的兴起为物流、库存管理和客户满意度带来了挑战。供应链分析对于应对需求波动、优化最后一公里配送以及满足用户期望至关重要，这也推动了其在电子商务行业的应用。

供应链分析的市场趋势：

企业数位转型进展

企业数位转型的推展正对供应链分析市场的扩张产生正面影响。世界银行数据显示，2020年4月至2022年12月期间，投资数位化解决方案的微企业（员工人数少于4人）比例从10%翻了一番，达到20%；而大型企业（员工人数超过100人）的比例则增长了两倍，从20%增至60%。此外，各组织持续投资于先进的数据分析技术和工具，以充分利用巨量资料。这些投资使企业能够即时收集、储存和分析海量的供应链数据。因此，企业可以做出更明智的决策，并持续优化其供应链营运。此外，人工智慧（AI）和机器学习（ML）演算法的整合也增强了供应链分析解决方案的功能。这些技术能够实现预测性和指导性分析，使企业能够预测需求波动、优化库存水平，并识别供应链中的中断和瓶颈。

对供应链端到端可视性和透明度的需求日益增长

对供应链全面洞察和清晰度的需求日益增长，推动了供应链分析的需求。各行各业的公司都意识到即时掌握供应链活动至关重要。企业正逐步增加对先进分析解决方案的资源投入，以持续洞察供应链的各个环节，从原材料采购到最终产品分销。一家领先顾问公司的调查发现，约93%的企业计划继续加大对数据和分析的投资。此外，企业正积极部署供应链分析系统，以便监控、追踪和分析来自众多资讯来源的数据，包括供应商、物流公司和内部流程。这种即时监控使企业能够快速应对突发事件、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日益关注，也促使企业致力于提高供应链的透明度。

个人网路购物活动的扩展

个人网路购物的兴起推动了对供应链分析的需求。根据美国国际贸易局的数据，预计到2027年，全球B2C电子商务销售额将达到5.5兆美元，年复合成长率（CAGR）为14.4%。此外，随着消费者越来越多地使用线上平台购物，企业在高效管理供应链方面面临许多挑战。这些挑战包括需求模式的波动、复杂的物流以及确保库存和订单履行的即时可见性。为了应对这些不断变化的需求，企业正在转向供应链分析解决方案，以获取可执行的洞察并优化营运。此外，全球性中断和不可预见事件等因素也凸显了维持供应链韧性和敏捷性的重要性。网路购物的持续成长进一步强调了供应链分析在风险缓解方面的重要性，使企业能够主动识别漏洞、制定紧急时应对计画并确保业务永续营运。

区块链整合增强了数据透明度

区块链技术与供应链分析的整合代表着一个关键趋势，它能够提升各行各业的效率、课责和数据透明度。利用区块链去中心化且防篡改的帐本技术，可以增强供应链营运的可追溯性，确保每一笔交易和货物流动都能被准确记录和验证。这种能力降低了诈欺、错误和效率低下所带来的风险，同时增强了相关人员之间的信任。此外，区块链促进供应链相关人员之间资料交换的能力，提高了决策效率和营运柔软性。区块链能够即时追踪原材料和产品从源头到最终消费者的整个过程，而对永续发展标准和道德采购日益增长的需求，也进一步推动了此类解决方案的发展。这些进步正在推动市场扩张，并将区块链确立为变革供应链管理方式的关键工具。 2024年，SmartMatrix推出了一个整合区块链和人工智慧的平台，旨在改善供应链管理。

目录

第一章：序言

第二章：调查方法

  • 调查目的
  • 相关利益者
  • 数据来源
    • 主要讯息
    • 次要讯息
  • 市场估值
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第三章执行摘要

第四章：引言

第五章：全球供应链分析市场

  • 市场概览
  • 市场表现
  • 新冠疫情的影响
  • 市场预测

第六章 市场区隔：依组件划分

  • 软体
    • 主要部分
      • 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/物流分析
  • 服务
    • 主要部分
      • 专业的
      • 支援与维护

第七章 市场区隔：依部署模式

  • 现场
  • 基于云端的

第八章 市场区隔：依公司规模划分

  • 大公司
  • 小型企业

第九章 市场区隔：依产业划分

  • 车
  • 食品/饮料
  • 医疗和药品
  • 製造业
  • 零售和消费品
  • 运输/物流
  • 其他的

第十章 市场区隔：依地区划分

  • 北美洲
    • 我们
    • 加拿大
  • 亚太地区
    • 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

第十一章 SWOT 分析

第十二章：价值链分析

第十三章：波特五力分析

第十四章：价格分析

第十五章 竞争格局

  • 市场结构
  • 主要企业
  • 主要企业简介
    • 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: SR112026A4520

The global supply chain analytics market size was valued at USD 11.0 Billion in 2025. Looking forward, IMARC Group estimates the market to reach USD 41.2 Billion by 2034, exhibiting a CAGR of 15.85% from 2026-2034. North America currently dominates the market, holding a market share of over 36.9% in 2025 . 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 2025. 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 2025. 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 2025. 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 2025. 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 2025, 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 2026-2034?

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), 2020-2025
  • Figure 3: Global: Supply Chain Analytics Market Forecast: Sales Value (in Billion USD), 2026-2034
  • Figure 4: Global: Supply Chain Analytics Market: Breakup by Component (in %), 2025
  • Figure 5: Global: Supply Chain Analytics Market: Breakup by Deployment Mode (in %), 2025
  • Figure 6: Global: Supply Chain Analytics Market: Breakup by Enterprise Size (in %), 2025
  • Figure 7: Global: Supply Chain Analytics Market: Breakup by Industry Vertical (in %), 2025
  • Figure 8: Global: Supply Chain Analytics Market: Breakup by Region (in %), 2025
  • Figure 9: Global: Supply Chain Analytics (Software) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 10: Global: Supply Chain Analytics (Software) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 11: Global: Supply Chain Analytics (Services) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 12: Global: Supply Chain Analytics (Services) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 13: Global: Supply Chain Analytics (On-premises) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 14: Global: Supply Chain Analytics (On-premises) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 15: Global: Supply Chain Analytics (Cloud-based) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 16: Global: Supply Chain Analytics (Cloud-based) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 17: Global: Supply Chain Analytics (Large Enterprises) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 18: Global: Supply Chain Analytics (Large Enterprises) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 19: Global: Supply Chain Analytics (Small and Medium Enterprises) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 20: Global: Supply Chain Analytics (Small and Medium Enterprises) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 21: Global: Supply Chain Analytics (Automotive) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 22: Global: Supply Chain Analytics (Automotive) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 23: Global: Supply Chain Analytics (Food and Beverages) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 24: Global: Supply Chain Analytics (Food and Beverages) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 25: Global: Supply Chain Analytics (Healthcare and Pharmaceuticals) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 26: Global: Supply Chain Analytics (Healthcare and Pharmaceuticals) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 27: Global: Supply Chain Analytics (Manufacturing) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 28: Global: Supply Chain Analytics (Manufacturing) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 29: Global: Supply Chain Analytics (Retail and Consumer Goods) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 30: Global: Supply Chain Analytics (Retail and Consumer Goods) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 31: Global: Supply Chain Analytics (Transportation and Logistics) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 32: Global: Supply Chain Analytics (Transportation and Logistics) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 33: Global: Supply Chain Analytics (Other Industry Verticals) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 34: Global: Supply Chain Analytics (Other Industry Verticals) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 35: North America: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 36: North America: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 37: United States: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 38: United States: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 39: Canada: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 40: Canada: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 41: Asia-Pacific: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 42: Asia-Pacific: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 43: China: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 44: China: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 45: Japan: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 46: Japan: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 47: India: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 48: India: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 49: South Korea: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 50: South Korea: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 51: Australia: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 52: Australia: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 53: Indonesia: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 54: Indonesia: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 55: Others: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 56: Others: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 57: Europe: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 58: Europe: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 59: Germany: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 60: Germany: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 61: France: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 62: France: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 63: United Kingdom: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 64: United Kingdom: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 65: Italy: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 66: Italy: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 67: Spain: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 68: Spain: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 69: Russia: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 70: Russia: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 71: Others: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 72: Others: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 73: Latin America: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 74: Latin America: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 75: Brazil: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 76: Brazil: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 77: Mexico: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 78: Mexico: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 79: Others: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 80: Others: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 81: Middle East and Africa: Supply Chain Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 82: Middle East and Africa: Supply Chain Analytics Market: Breakup by Country (in %), 2025
  • Figure 83: Middle East and Africa: Supply Chain Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • 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, 2025 and 2034
  • Table 2: Global: Supply Chain Analytics Market Forecast: Breakup by Component (in Million USD), 2026-2034
  • Table 3: Global: Supply Chain Analytics Market Forecast: Breakup by Deployment Mode (in Million USD), 2026-2034
  • Table 4: Global: Supply Chain Analytics Market Forecast: Breakup by Enterprise Size (in Million USD), 2026-2034
  • Table 5: Global: Supply Chain Analytics Market Forecast: Breakup by Industry Vertical (in Million USD), 2026-2034
  • Table 6: Global: Supply Chain Analytics Market Forecast: Breakup by Region (in Million USD), 2026-2034
  • Table 7: Global: Supply Chain Analytics Market: Competitive Structure
  • Table 8: Global: Supply Chain Analytics Market: Key Players