Supply Chain Analytics Market

Market Definition

The market includes the use of data models and advanced tools to evaluate, predict, and enhance supply chain operations. It covers demand forecasting, inventory planning, order management, and risk evaluation across multi-tier networks. Key capabilities include real-time analytics, prescriptive modeling, and machine learning-based simulations.

These solutions help companies reduce costs, improve service levels, and manage complexity in global operations. Applications span retail, manufacturing, logistics, and healthcare. The report provides a comprehensive analysis of key drivers, emerging trends, and the competitive landscape expected to influence the market over the forecast period.

Supply Chain Analytics Market Overview

The global supply chain analytics market size was valued at USD 9.79 billion in 2024 and is projected to grow from USD 11.64 billion in 2025 to USD 40.84 billion by 2032, exhibiting a CAGR of 19.44% during the forecast period.

The growth of the market is driven by the rapid expansion of e-commerce and omnichannel retailing, which demand real-time inventory visibility and agile logistics planning. Additionally, digital transformation initiatives across enterprises are driving the adoption of advanced analytics tools to optimize supply chain performance and enhance operational decision-making.

Major companies operating in the supply chain analytics industry are SAP SE, Oracle, IBM, SAS Institute Inc., Manhattan Associates, Strategy, Accenture, Genpact, Kinaxis Inc., QlikTech International AB, Salesforce Inc., Koch IP Holdings, LLC, Capgemini, FUJITSU, and Cloudera, Inc.

The rising need for real-time visibility across multi-tier supply chains is contributing to market growth. Companies are focusing on tracking goods, resources, and information flows more accurately to reduce delays, identify bottlenecks, and respond faster to disruptions.

Advanced analytics tools help visualize performance metrics in real time, allowing businesses to adjust strategies and improve service levels. This focus on visibility is leading to the widespread adoption across diverse sectors.

• In February 2024, Agillitics launched AgiSight 2024.1, an advanced supply chain analytics platform. This release introduced the Morgan Guru Modules, enabling users to obtain real-time insights through natural language queries. The platform also features enhanced warehouse reporting capabilities and a Network Scorecard that consolidates key performance metrics, providing a comprehensive view of the supply chain ecosystem.

Key Highlights

1. The supply chain analytics industry size was valued at USD 9.79 billion in 2024.
2. The market is projected to grow at a CAGR of 19.44% from 2025 to 2032.
3. North America held a market share of 34.07% in 2024, with a valuation of USD 3.34 billion.
4. The solution segment garnered USD 6.05 billion in revenue in 2024.
5. The on-premises segment is expected to reach USD 24.55 billion by 2032.
6. The manufacturing segment secured the largest revenue share of 24.21% in 2024.
7. Asia Pacific is anticipated to grow at a CAGR of 20.45% over the forecast period.

Market Driver

Rapid Expansion of E-commerce and Omnichannel Retailing

The expansion of e-commerce and omnichannel retailing is accelerating the growth of the supply chain analytics market. Businesses are managing high volumes of transactions and complex fulfillment networks that require better planning and demand forecasting.

Analytics platforms allow retailers to align supply with shifting consumer behavior, optimize last-mile delivery, and enhance returns management. Consequently, data-driven decision-making is integral to global retail supply chains.

• In May 2025, Coupa launched its Navi multiagent AI solution portfolio, designed to improve decision-making, streamline operations, and increase productivity. By leveraging multiagent AI, the platform facilitates dynamic, autonomous alignment between buyers and suppliers, reshaping global trade interactions. The Coupa Navi Analytics Agent enhances the Coupa Analytics experience by enabling quick responses to data queries, generating intuitive charts, and guiding users through detailed data exploration.

Market Challenge

Data Integration and Quality Issues

A significant challenge hindering the growth of the supply chain analytics market is the complexity of integrating data from multiple, diverse sources and ensuring its accuracy. Inconsistent or poor-quality data can lead to incorrect insights, which affect decision-making.

To address this challenge, key players are investing in advanced data management platforms that standardize and cleanse data prior to analysis. They are also adopting automated data validation tools and promoting collaboration between IT and supply chain teams to improve data governance. These measures ensure reliable analytics, boosting confidence, in decision-making and supporting market growth.

Market Trend

Digital Transformation Initiatives Across Enterprises

Enterprises across industries are prioritizing digital transformation to improve efficiency, reduce costs, and gain a competitive advantage, which is emerging as a notable trend influencing the supply chain analytics market.

Supply chain analytics enable companies to replace outdated systems with intelligent, cloud-based platforms. These solutions allow real-time data integration across departments and geographies. The alignment of supply chain analytics with broader digital strategies is accelerating its adoption.

• In January 2025, Blue Yonder updated its AI-driven platform and cognitive planning and execution solutions. The release eliminates traditional operational silos by enabling real-time, collaborative decision-making. It integrates inputs from demand, supply, finance, and operations to produce more precise and actionable plans aimed at increasing profitability. The enhanced Integrated Demand & Supply Planning solution analyzes shifting demand trends and supply conditions concurrently, helping organizations optimize efficiency, strengthen resilience, and maintain high service levels.

Supply Chain Analytics Market Report Snapshot

Segmentation	Details
By Component	Solution (Demand Planning, Inventory Analytics, Procurement Analytics, Logistics Analytics, Others), Services (Professional, Managed)
By Deployment	Cloud-based, On-premises
By Vertical	Manufacturing, Government, Retail, Automotive, Healthcare, Aerospace & Defense, Others
By Region	North America: U.S., Canada, Mexico
	Europe: France, UK, Spain, Germany, Italy, Russia, Rest of Europe
	Asia-Pacific: China, Japan, India, Australia, ASEAN, South Korea, Rest of Asia-Pacific
	Middle East & Africa: Turkey, U.A.E., Saudi Arabia, South Africa, Rest of Middle East & Africa
	South America: Brazil, Argentina, Rest of South America

Market Segmentation

• By Component (Solution and Services): The solution segment earned USD 6.05 billion in 2024 due to its ability to provide comprehensive tools that enable real-time data analysis, process automation, and enhanced decision-making across supply chain operations.
• By Deployment (Cloud-based and On-premises): The on-premises segment held a share of 61.58% in 2024, fueled by its enhanced data security, greater control over sensitive information, and customization options preferred by large enterprises.
• By Vertical (Manufacturing, Government, Retail, and Automotive, Healthcare, Aerospace & Defense, and Others): The manufacturing segment is projected to reach USD 9.92 billion by 2032, owing to its complex production processes and the critical need for real-time data-driven insights to optimize inventory, reduce costs, and improve operational efficiency.

Supply Chain Analytics Market Regional Analysis

Based on region, the market has been classified into North America, Europe, Asia Pacific, Middle East & Africa, and South America.

The North America supply chain analytics market share stood at around 34.07% in 2024, valued at USD 3.34 billion. North America hosts a large number of enterprises that are early adopters of digital technologies.

Companies across sectors such as retail, manufacturing, and healthcare are investing in advanced analytics to enhance supply chain visibility and planning. This proactive approach to technology adoption is accelerating the use of AI-powered analytics tools, boosting regional market expansion.

• In March 2024, Walmart launched Route Optimization, an AI-powered logistics technology, available to businesses as a Software as a Service (SaaS) solution through Walmart Commerce Technologies. This solution optimizes supply chains by ensuring product availability and minimizing emissions.

In North America, industries such as pharmaceuticals and food are subject to strict regulatory requirements for traceability and quality control. Supply chain analytics solutions support compliance by enabling detailed tracking, audit reporting, and predictive risk assessment.

The Asia Pacific supply chain analytics industry is set to grow at a robust CAGR of 20.45% over the forecast period. As a global manufacturing and export hub, the region’s vast network of suppliers, plants, and distribution points is fueling the adoption of supply chain analytics.

The growing reliance on digital systems to coordinate cross-border operations is further supporting this growth. Moreover, governments and large private firms across Asia Pacific are investing in smart infrastructure and industrial corridors. These initiatives, involving complex logistics and multi-tiered supplier ecosystems, are accelerating the demand for advanced analytics solutions.

Regulatory Frameworks

• In the U.S., the Uyghur Forced Labor Prevention Act (UFLPA) presumes goods from China's Xinjiang region involve forced labor, prompting companies to improve supply chain traceability. The Food and Drug Administration (FDA)’s Food Traceability Final Rule, effective January 2026, requires digital recordkeeping for select food items. Additionally, upcoming Securities and Exchange Commission (SEC) climate disclosure rules mandate emission transparency, fueling the integration of environmental data into supply chain analytics.
• The Corporate Sustainability Due Diligence Directive (CSDDD), adopted in 2024, requires EU and non-EU companies with significant operations in Europe to assess and mitigate human rights and environmental impacts across their supply chains. The EU Deforestation Regulation (EUDR), effective 2025, bans products linked to deforestation. The Cyber Resilience Act (CRA) mandates cybersecurity standards for digital products. These regulations foster the adoption of analytics tools for risk visibility, traceability, and compliance assurance.
• China’s Data Security Law (DSL) enforces national security and data localization standards, regulating cross-border data transfers that affect cloud-based supply chain systems. The Personal Information Protection Law (PIPL) governs data collection and processing, requiring explicit consent and privacy protections. Companies operating in China must ensure that analytics systems align with these laws to avoid compliance risks, particularly when handling supplier, logistics, or customer data in cloud environments.
• India’s Digital Personal Data Protection Act, 2023 introduces a legal framework for collecting and processing personal data, emphasizing consent and lawful data usage. It applies to both Indian and foreign companies operating in India. Supply chain analytics solutions must incorporate strong data governance practices, particularly when handling third-party vendor information, personnel records, or transaction data, to remain compliant and avoid penalties.

Competitive Landscape

Major players in the supply chain analytics are adopting strategies such as integrating AI-driven orchestration tools, enhancing real-time visibility, and enabling faster, data-backed decision-making across supply chain functions. These strategies help companies manage complex logistics networks, respond quickly to disruptions, and improve collaboration between partners.

By embedding intelligence into planning processes, organizations are achieving higher efficiency and resilience. This approach is contributing to market expansion by shifting operations from reactive management to proactive optimization.

• In June 2024, Kinaxis introduced Maestro, the first AI-infused supply chain orchestration platform. This solution offers real-time visibility, collaborative planning, and rapid decision-making capabilities, enabling companies to manage complex global supply chains more effectively.

List of Key Companies in Supply Chain Analytics Market:

• SAP SE
• Oracle
• IBM
• SAS Institute Inc.
• Manhattan Associates
• Strategy
• Accenture
• Genpact
• Kinaxis Inc.
• QlikTech International AB
• Salesforce Inc.
• Koch IP Holdings, LLC
• Capgemini
• FUJITSU
• Cloudera, Inc.

Recent Developments (Agreements/Product Launches)

• In March 2025, Fujitsu deployed its Supply Chain Data Service for Valor Holdings Co., Ltd. This service enables various data linkages, accumulation, and utilization in the supply chain, aiming to enhance operational efficiency and data-driven decision-making.
• In January 2025, SAP announced two upcoming AI agents focused on sales and supply chain applications. These agents are designed to optimize pricing, product bundling, stock availability, and delivery schedules.
• In October 2024, Manhattan Associates showcased its latest supply chain commerce innovations at Exchange 2024. The event highlighted advancements in supply chain planning and execution, emphasizing the company's commitment to helping businesses navigate complex supply chain challenges through technology.
• In May 2024, IBM introduced the Supply Chain Resiliency module as part of its IBM Sterling Order Management system. This module aims to enhance supply chain resiliency by integrating with IBM Sterling Supply Chain Intelligence Suite, providing businesses with tools to better manage disruptions and maintain continuity.
• In 2024, Salesforce enhanced its supply chain analytics with new features in Lightning reports and dashboards, Data Cloud reports, and CRM Analytics. These updates aim to provide businesses with more comprehensive insights and improved decision-making capabilities.