Supply Chain Analytics Market Size
| Study Period | 2019 - 2030 |
| Market Size (2025) | USD 9.37 Billion |
| Market Size (2030) | USD 20.93 Billion |
| CAGR (2025 - 2030) | 17.43% |
| Fastest Growing Market | Asia |
| Largest Market | North America |
| Market Concentration | Low |
Major Players*Disclaimer: Major Players sorted in no particular order |
Supply Chain Analytics Market Analysis
The Supply Chain Analytics Market size is estimated at USD 9.37 billion in 2025, and is expected to reach USD 20.93 billion by 2030, at a CAGR of 17.43% during the forecast period (2025-2030).
- In recent years, the supply chain analytics market has seen substantial growth, fueled by businesses' increasing need to streamline operations and optimize supply chains. Supply chain analytics employs data analysis tools and techniques to monitor, predict, and enhance supply chain performance. By harnessing technologies such as big data, machine learning, and artificial intelligence, organizations glean valuable insights into their operations. This empowers them to make informed decisions spanning procurement, inventory management, demand forecasting, logistics, and beyond. The demand for these analytics is surging, driven by the complexities of modern supply chains, the quest for operational efficiency, and the imperative for companies to stay competitive in a globalized landscape.
- Supply chain analytics finds major applications across several critical domains. One primary application is inventory management, where companies leverage analytics to monitor stock levels, fine-tune order quantities, and minimize both stockouts and excess inventory. Another pivotal application is demand forecasting; businesses scrutinize historical data and market trends to anticipate future demand, allowing them to adjust strategies in real-time. Furthermore, logistics optimization benefits from analytics, enabling businesses to refine routing, cut transportation costs, and meet delivery timelines by considering factors like weather and traffic. Supplier performance management is yet another domain, where analytics assist companies in evaluating and selecting suppliers based on criteria such as cost, quality, and reliability of delivery.
- Key drivers propelling the supply chain analytics market include the escalating demand for operational efficiency, the burgeoning rise of e-commerce, and the intricate nature of global supply chains. As businesses broaden their horizons internationally and grapple with a surge in transaction volumes, the demand for sophisticated analytics tools to oversee and manage supply chains intensifies. The industry's pivot towards real-time data and predictive analytics, spurred by breakthroughs in AI and machine learning, significantly bolsters decision-making prowess. Moreover, with an increasing emphasis on sustainability and risk management, companies harness supply chain analytics to pinpoint bottlenecks, optimize resource use, and navigate potential risks.
- Real-time, accurate information is pivotal in alleviating disruptions faced by suppliers, manufacturers, and distributors globally. According to April 2024 research from SAP UK, businesses have high expectations for AI's role in refining supply chains, primarily anticipating benefits like cost savings (60%), logistics enhancements (56%), contingency planning (53%), and improved inventory management (50%). Yet, this research underscores a broader recognition: businesses are awakening to AI's transformative potential, not just in driving efficiency but also in bridging skill gaps across their supply chain operations.
- Despite the swift embrace of supply chain analytics, organizations grapple with notable challenges. Data quality and integration pose significant hurdles, especially for businesses tethered to siloed legacy systems that clash with contemporary analytics platforms. The vast data churned out by global supply chains complicates the extraction of actionable insights. A further challenge arises from the dearth of in-house expertise in data science and analytics, which can stymie the effective deployment of advanced tools. Additionally, the financial burden of both implementing and sustaining supply chain analytics solutions can be daunting for smaller enterprises, creating a pronounced entry barrier. However, as these challenges are systematically tackled, the supply chain analytics market is poised for continued expansion, bolstered by technological advancements and enhanced integration strategies that empower businesses to navigate these hurdles.
Supply Chain Analytics Market Trends
Inventory Management Accounts For a Significant Market Share
- As global supply chains grow more intricate, businesses increasingly turn to inventory management within the supply chain analytics market to optimize operations. This segment harnesses advanced data analytics to efficiently manage stock levels, forecast demand, and streamline goods movement. Companies are heavily investing in sophisticated inventory management solutions, integrating machine learning, real-time tracking, and predictive analytics. These technologies not only help maintain optimal stock levels and reduce holding costs but also bolster decision-making, enabling swift responses to disruptions and preventing costly overstock or stockouts.
- Several key factors drive the growth of the inventory management application. A major catalyst is the surge in e-commerce, heightening the demand for inventory solutions adept at handling vast product volumes and intricate distribution networks. Furthermore, with a growing emphasis on sustainability and cost-efficiency, companies are turning to data-driven inventory practices to curtail waste. Technologies like cloud-based platforms and IoT-enabled tracking devices are enhancing real-time inventory visibility, granting companies deeper insights into supply chain performance and bolstering operational agility.
- According to, China Federation of Logistics & Purchasing, in 2023, transportation costs dominated logistics expenses, making up 53.85% of the total, while management costs trailed at 12.64%. Supply chain analytics are instrumental in curbing these costs, optimizing routes, refining resource allocation, and boosting operational efficiency. By tapping into data-driven insights, companies can streamline logistics, minimize delays, and make informed decisions that balance cost with service quality.
- As technology evolves, so do the growth prospects in this segment. The integration of AI and machine learning is enhancing inventory management tools, enabling precise demand forecasting, automated restocking, and real-time adaptability to supply chain fluctuations. Companies harnessing blockchain for transparent inventory tracking are fostering greater trust and collaboration in their supply networks. Furthermore, emerging markets undergoing digital transformation offer fertile ground for growth, as businesses modernize and adopt advanced analytics to maintain competitiveness.
- For instance, in August 2024, ThroughPut Inc., a pioneer in Industrial AI Supply Chain Analytics and Decision Intelligence, unveiled new inventory management features. These enhancements allow businesses to boost profitability through accurate working capital spend forecasts, real-time inventory insights, and adaptive rebalancing and replenishment suggestions. The latest release offers businesses enhanced visibility and actionable insights to oversee their inventory and material movements across all SKUs, customers, locations, and supply chain endpoints. Consequently, businesses can accelerate inventory turnover, ensure quick access to fast-moving products, and minimize safety stock and carrying expenses.
- Retail and manufacturing sectors lead in adopting inventory management solutions. Retailers utilize these systems for diverse needs, from managing expansive warehouses to aligning with omnichannel sales. Meanwhile, manufacturing firms leverage these tools for improved production scheduling and raw material tracking, helping them navigate supply chain disruptions. Ongoing software advancements, including predictive analytics, automated replenishment, and comprehensive supply chain integration, are driving adoption and positioning these sectors at the vanguard of inventory management innovation.
Retail and E-commerce Sector Accounts For the Largest Share
- Retail and e-commerce are pivotal in driving the growth of the supply chain analytics market. The swift rise of online shopping, fueled by changing consumer preferences and tech advancements, has complicated the supply chain landscape. Companies now juggle vast inventories, liaise with multiple distribution centers, and meet customer demands for swift, reliable delivery. This complexity has spurred the adoption of advanced supply chain analytics, empowering retailers and e-commerce platforms to fine-tune logistics, enhance demand forecasting, and uphold efficient inventory levels.
- Supply chain analytics significantly boosts demand planning and inventory management in retail and e-commerce. By harnessing predictive analytics and real-time data, businesses can foresee consumer behavior trends, adjust stock levels in advance, and sidestep challenges like stockouts or overstocking. This foresight is crucial during peak shopping seasons with unpredictable surges in demand. Leveraging advanced algorithms and machine learning, retailers can ensure their supply chains remain agile and responsive. In July 2024, Bigbasket, a TATA Enterprise, unveiled BB Matrix, a comprehensive SaaS-based supply chain platform. BB Matrix promises enterprises complete visibility across their supply chains, offering real-time updates, swift bottleneck tracking, and data-driven decision-making to bolster supply chains.
- The e-commerce surge has hastened the integration of IoT and blockchain technologies in supply chains. IoT devices enable real-time goods tracking and monitoring, while blockchain guarantees transaction transparency and security. Retailers leveraging these technologies gain enhanced supply chain visibility, foster better supplier collaboration, and build stronger customer trust. As digital transformation continues to redefine retail and e-commerce, the appetite for robust supply chain analytics solutions will only intensify, bolstering the industry's quest for efficiency, cost-effectiveness, and a competitive edge.
- According to the US Census Bureau, United States e-commerce retail trade sales soared past USD 1.1 trillion in 2023, underscoring the escalating demand for efficient, scalable supply chain solutions. This growth accentuates the urgency for refined inventory management, expedited fulfillment processes, and streamlined last-mile delivery strategies. Supply chain analytics emerges as a vital tool in navigating these challenges, offering real-time data insights to enhance decision-making and guarantee timely deliveries in a rapidly expanding digital marketplace.
Supply Chain Analytics Industry Overview
The supply chain analytics market remains fragmented, with SAP SE, Oracle Corporation, Manhattan Associates, Blue Yonder, and IBM at the forefront. These industry leaders provide AI-driven solutions, enhancing supply chain operations across diverse sectors. Each company carves its niche, emphasizing features such as advanced data analytics, automation, and predictive modeling. As the landscape shifts, there's a pronounced pivot towards cloud-based platforms and integrated software suites, addressing the rising demand for real-time, comprehensive supply chain visibility.
Supply Chain Analytics Market Leaders
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Oracle Corporation
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SAP SE
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Blue Yonder Group Inc.
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Manhattan Associates
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IBM Corporation
- *Disclaimer: Major Players sorted in no particular order
Supply Chain Analytics Market News
- May 2024: Marsh McLennan, the world's foremost professional services firm specializing in risk, strategy, and human capital, unveiled Sentrisk. This innovative AI-driven platform, coupled with advisory services, aims to transform how businesses navigate global supply chain risks. Developed by leveraging the strengths of Marsh McLennan's Marsh and Oliver Wyman divisions, Sentrisk harnesses advanced technologies, including supply chain mapping AI and geospatial satellite imaging. These advanced tools empower organizations to achieve unprecedented depth in supply chain mapping and craft risk strategies that are finely tuned to their unique business requirements. Delving deep into a company's supply chain, Sentrisk employs proprietary analytics to identify vulnerabilities, categorizing them as low, medium, or high-risk, and honing in on specifics like sites, suppliers, or components.
- April 2024: SAP SE unveiled AI enhancements in its supply chain solutions, heralding a transformative surge in productivity, efficiency, and precision within the manufacturing realm. Leveraging AI-driven insights from real-time data, companies can optimize supply chain decisions, streamline product development, and bolster manufacturing efficiency.
Supply Chain Analytics Industry Segmentation
Supply chain analytics uses data analysis to optimize procurement, production, distribution, and inventory management. With advancements in technology and big data, businesses leverage analytics to improve efficiency, reduce costs, and enhance customer experience. The market is growing as companies seek competitive advantages through predictive insights and real-time decision-making. Key industries benefiting include retail, manufacturing, logistics, and healthcare.
The Supply Chain Analytics Market is segmented by deployment (on-premise, cloud), enterprise size (large Enterprise, small and medium enterprise), application (inventory management, demand forecasting, procurement analytics, supplier performance management, and other applications), end-sse industry (retail and e-commerce, manufacturing, automotive, healthcare, food and beverage, and other end-use industries) and geography (North America, Europe, Asia Pacific, Latin America, Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.
| By Deployment | On-premise |
| Cloud | |
| By Enterprise Size | Large Enterprises |
| Small and medium Enterprises (SME) | |
| By Application | Inventory Management |
| Demand Forecasting | |
| Procurement Analytics | |
| Supplier Performance Management | |
| Other Applications (Logistics and Transportation Optimization, Risk Management and Compliance) | |
| By End-Use Industry | Retail and E-commerce |
| Manufacturing | |
| Automotive | |
| Healthcare | |
| Food and Beverage | |
| Other End-use Industries | |
| By Geography | North America |
| Europe | |
| Asia | |
| Australia and New Zealand | |
| Latin America | |
| Middle East and Africa |
| On-premise |
| Cloud |
| Large Enterprises |
| Small and medium Enterprises (SME) |
| Inventory Management |
| Demand Forecasting |
| Procurement Analytics |
| Supplier Performance Management |
| Other Applications (Logistics and Transportation Optimization, Risk Management and Compliance) |
| Retail and E-commerce |
| Manufacturing |
| Automotive |
| Healthcare |
| Food and Beverage |
| Other End-use Industries |
| North America |
| Europe |
| Asia |
| Australia and New Zealand |
| Latin America |
| Middle East and Africa |
Supply Chain Analytics Market Research FAQs
How big is the Supply Chain Analytics Market?
The Supply Chain Analytics Market size is expected to reach USD 9.37 billion in 2025 and grow at a CAGR of 17.43% to reach USD 20.93 billion by 2030.
What is the current Supply Chain Analytics Market size?
In 2025, the Supply Chain Analytics Market size is expected to reach USD 9.37 billion.
Who are the key players in Supply Chain Analytics Market?
Oracle Corporation, SAP SE, Blue Yonder Group Inc., Manhattan Associates and IBM Corporation are the major companies operating in the Supply Chain Analytics Market.
Which is the fastest growing region in Supply Chain Analytics Market?
Asia is estimated to grow at the highest CAGR over the forecast period (2025-2030).
Which region has the biggest share in Supply Chain Analytics Market?
In 2025, the North America accounts for the largest market share in Supply Chain Analytics Market.
What years does this Supply Chain Analytics Market cover, and what was the market size in 2024?
In 2024, the Supply Chain Analytics Market size was estimated at USD 7.74 billion. The report covers the Supply Chain Analytics Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the Supply Chain Analytics Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.
Supply Chain Analytics Industry Report
Statistics for the 2025 Supply Chain Analytics market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Supply Chain Analytics analysis includes a market forecast outlook for 2025 to 2030 and historical overview. Get a sample of this industry analysis as a free report PDF download.
