Supply Chain Analytics Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component (Software and Services), By Deployment (On-premise and Cloud), By Organization Size (Small & Medium Enterprise and Large Enterprise); By Industry Vertical (Retail & Consumer Goods, Healthcare & Pharmaceuticals, Manufacturing, Food & Beverages, Transportation & Logistics, Automotive, and Other), By Region, Competition 2021-2031F

Forecast Period	2027-2031
Market Size (2025)	USD 8.94 Billion
CAGR (2026-2031)	21.48%
Fastest Growing Segment	Small & Medium Enterprise
Largest Market	North America
Market Size (2031)	USD 28.73 Billion

Market Overview

The Global Supply Chain Analytics Market will grow from USD 8.94 Billion in 2025 to USD 28.73 Billion by 2031 at a 21.48% CAGR. Supply chain analytics encompasses software solutions and data strategies designed to interpret operational data for improved planning and execution. These tools enable predictive modeling and inventory optimization while allowing firms to make informed strategic choices. The market is primarily driven by the need for comprehensive network visibility and the urgency to mitigate rising operational costs through digital efficiency. According to MHI, in 2024, 55% of supply chain leaders reported increasing their investments in supply chain technology and innovation to enhance performance.

However, a significant challenge impeding market expansion is the difficulty of integrating data across disparate legacy systems. Inconsistent data quality and the absence of standardized formats often obstruct the effective deployment of analytics platforms. This fragmentation limits the actionable insights organizations can generate and prevents the unification of information from siloed sources, thereby creating a substantial barrier to realizing the full value of these technological implementations.

Key Market Drivers

The integration of Artificial Intelligence and Machine Learning technologies is acting as a primary catalyst for the Global Supply Chain Analytics Market, shifting operations from reactive monitoring to proactive optimization. These advanced algorithms ingest massive datasets to automate complex decision-making processes, allowing organizations to predict disruptions and optimize inventory levels with unprecedented precision. The momentum behind this technological shift is substantial; according to Honeywell, July 2024, in the 'Industrial AI Insights' report, 94% of surveyed executives stated they have plans to expand their utilization of AI, signaling a universal move toward automated intelligence. This widespread adoption facilitates the processing of high-velocity data, transforming raw information into actionable strategic advantages that drive market growth.

Simultaneously, the growing focus on supply chain resilience and risk management is necessitating the deployment of sophisticated analytics to navigate an increasingly volatile global landscape. Companies are aggressively investing in tools that provide end-to-end visibility and scenario planning capabilities to safeguard against geopolitical instability and economic fluctuations. According to Descartes Systems Group, December 2024, in the '2024 Supply Chain Intelligence Report', 48% of global logistics leaders identified rising tariffs and trade barriers as their top concern, underscoring the urgent need for predictive risk modeling. This drive for stability is backed by significant capital allocation; according to MHI, in 2024, 88% of supply chain leaders indicated plans to spend over $1 million on technology and innovation, reflecting the critical priority placed on building resilient, data-driven networks.

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Key Market Challenges

The difficulty of integrating data across disparate legacy systems stands as a formidable barrier to the growth of the Global Supply Chain Analytics Market. Organizations frequently operate with fragmented infrastructure where critical information is trapped in isolated "data silos," such as Enterprise Resource Planning (ERP) systems, Warehouse Management Systems (WMS), and transportation logs that do not communicate effectively. This fragmentation prevents the creation of a unified "single source of truth," which is the foundational requirement for any advanced analytics platform to function. Without a cohesive dataset, predictive modeling tools cannot generate accurate forecasts or actionable insights, rendering the software ineffective and discouraging broader market adoption.

This technical complexity is significantly exacerbated by a shortage of skilled professionals capable of bridging the gap between antiquated infrastructure and modern digital requirements. The integration process requires specialized expertise to clean, standardize, and migrate data, a resource that is currently in critically short supply. According to the MHI Annual Industry Report released in 2025, 83% of manufacturing and supply chain professionals surveyed identified the ongoing workforce and talent shortage as a major challenge for their operations. This acute lack of technical human capital directly hampers the ability of firms to resolve their data integration issues, thereby stalling the deployment of analytics solutions and limiting the overall expansion of the market.

Key Market Trends

The integration of Sustainability and ESG Compliance Analytics is emerging as a critical trend, driven by stringent regulatory frameworks and the need for granular visibility into carbon footprints. Organizations are increasingly deploying specialized analytics to track Scope 3 emissions—indirect activities such as transportation and procurement—which are notoriously difficult to measure using traditional methods. This shift moves beyond simple compliance, enabling firms to strategically optimize ethical sourcing and reduce waste through data-driven tracking. The urgency of this requirement is underscored by the magnitude of indirect environmental impact; according to the Council of Supply Chain Management Professionals (CSCMP) and MIT Center for Transportation & Logistics, August 2024, in the 'State of Supply Chain Sustainability 2024' report, Scope 3 emissions now account for approximately 75% of a company's total carbon footprint, necessitating advanced analytics to accurately monitor these extensive indirect activities.

Simultaneously, the Integration of Generative AI for Advanced Scenario Planning is transforming how companies prepare for volatility by enabling the synthesis of unstructured data into actionable strategies. Unlike traditional predictive models that rely heavily on structured historical numbers, generative AI can interpret text-based inputs like news reports and contracts to simulate complex "what-if" scenarios for immediate decision support. This capability allows supply chain managers to interact conversationally with data to rapidly identify alternative sourcing options during crises. The adoption of this technology is accelerating among competitive firms; according to Epicor, July 2024, in the 'Supply Chain Insights' report, 63% of high-growth businesses have already integrated generative AI into their supply chain operations to manage cost and operational challenges.

Segmental Insights

The Small & Medium Enterprise segment represents the most rapidly expanding category within the Global Supply Chain Analytics Market. This growth is fundamentally driven by the increasing accessibility of cost-effective cloud-based platforms, which allow smaller businesses to leverage data insights without incurring prohibitive infrastructure costs. SMEs are prioritizing these tools to improve demand forecasting, optimize inventory management, and enhance operational efficiency. Furthermore, intensifying market competition is motivating these enterprises to digitize their supply chains, ensuring they can respond swiftly to market fluctuations and maximize resource utilization.

Regional Insights

North America maintains a dominant position in the Global Supply Chain Analytics Market, primarily due to the extensive adoption of artificial intelligence and cloud-based technologies across logistics networks. The region benefits from a mature digital infrastructure and the presence of prominent technology providers, such as Oracle and IBM, which accelerates the deployment of advanced solutions. Additionally, the rapid expansion of the e-commerce sector in the United States drives a critical need for real-time data visibility and inventory optimization. These factors, combined with a strong corporate focus on enhancing operational resilience, firmly establish North America as the global leader in this sector.

Recent Developments

• In September 2024, Oracle announced significant updates to its Fusion Cloud Supply Chain & Manufacturing suite, integrating advanced artificial intelligence capabilities to improve productivity and visibility. The enhancements included a new production supervisor workbench that utilized generative AI for shift reporting, allowing supervisors to focus on operational issues impacting performance. Additionally, the company introduced an RFID-powered inventory management application to automate stock tracking and replenishment for healthcare organizations. These updates aimed to accelerate supply chain processes by providing real-time insights and identifying the next best actions, ultimately helping organizations navigate complex market demands more effectively.
• In August 2024, Blue Yonder finalized its acquisition of One Network Enterprises for approximately $839 million to enhance its digital supply chain offerings. This strategic move integrated a multi-enterprise, multi-tier network ecosystem into the company’s portfolio, enabling real-time data sharing and collaboration across trading partners. The acquisition introduced artificial intelligence-powered supply chain assistants designed to identify, monitor, and resolve disruptions swiftly. By unifying planning and execution capabilities, the company aimed to provide customers with immediate visibility into inventory levels and material movements, thereby improving decision-making agility and resilience against global supply chain volatility.
• In June 2024, Kinaxis introduced Maestro, an artificial intelligence-infused supply chain orchestration platform designed to deliver end-to-end transparency and agility. This new solution combined proprietary computational techniques with modern machine learning technologies to synchronize data, people, and processes from strategic planning to last-mile delivery. The platform featured a supply chain data fabric that connected internal and external sources into a single system, alongside an intelligence engine providing real-time predictions and adaptive solutions. The launch aimed to help business leaders master supply chain complexities by automating routine tasks and enabling faster, smarter decision-making through a seamless user interface.
• In May 2024, Manhattan Associates launched Manhattan Active Supply Chain Planning, a unified business planning platform facilitating bi-directional collaboration between planning and execution systems. This innovative solution allowed planners to evaluate operational factors in real-time, aligning inventory, labor, and transportation resources toward common business objectives such as cost reduction. By eliminating systemic silos, the platform enabled the simultaneous optimization of all supply chain elements, including distribution and logistics. The company emphasized that this unification harnessed artificial intelligence to combine external data with internal patterns, producing more accurate demand forecasts and ensuring smoother operations.

Key Market Players

• Kinaxis Inc.
• Manhattan Associates
• IBM Corporation
• Tableau Software LLC
• SAP SE
• SAS Institute Inc.
• QlikTech International AB
• Oracle Corporation
• Microstrategy Incorporated
• Infor Inc.

By Component	By Deployment	By Organization Size	By Industry Vertical	By Region
Software and Services	On-premise and Cloud	Small & Medium Enterprise and Large Enterprise	Retail & Consumer Goods Healthcare & Pharmaceuticals Manufacturing Food & Beverages Transportation & Logistics Automotive and Other	North America Europe Asia Pacific South America Middle East & Africa

Report Scope:

In this report, the Global Supply Chain Analytics Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

• Supply Chain Analytics Market, By Component:

• Software and Services

• Supply Chain Analytics Market, By Deployment:

• On-premise and Cloud

• Supply Chain Analytics Market, By Organization Size:

• Small & Medium Enterprise and Large Enterprise

• Supply Chain Analytics Market, By Industry Vertical:

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

• Supply Chain Analytics Market, By Region:

• North America
• United States
• Canada
• Mexico
• Europe
• France
• United Kingdom
• Italy
• Germany
• Spain
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• South America
• Brazil
• Argentina
• Colombia
• Middle East & Africa
• South Africa
• Saudi Arabia
• UAE