Supply Chain Analytics Market Report 2026: Share Analysis, Industry Trends, Statistics, and Growth Forecasts to 2031
Dublin, Aug. 18, 2026 (GLOBE NEWSWIRE) -- The "Supply Chain Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026-2031)" has been added to ResearchAndMarkets.com's offering.
The global supply chain analytics market is estimated to reach USD 10.97 billion in 2026, up from USD 9.37 billion in 2025. The market is forecast to expand to USD 24.13 billion by 2031, registering a compound annual growth rate (CAGR) of 17.12% from 2026 to 2031. Growth is being driven by accelerating e-commerce demand, cloud adoption, smart manufacturing investments, and the need for greater visibility across complex supplier networks.
Supply Chain Analytics Market Trends and Growth Drivers
Retail and e-commerce companies are deploying real-time supply chain analytics to address shorter fulfilment windows and rising customer expectations. Advanced platforms coordinate order, inventory, warehouse, and transportation data, enabling automated carrier selection and inventory placement. Adopters have achieved fulfilment improvements of up to 30% and logistics cost reductions of approximately 25%. Canadian Tire, for example, improved channel allocation during periods of volatile demand and increased sales by 20% through network-wide optimisation.
Industry 4.0 initiatives are also generating significant demand for supply chain analytics software. Connected equipment produces continuous quality, throughput, and energy data that can be integrated into planning and procurement systems. This integration can improve overall equipment effectiveness by up to 15% and reduce quality-related costs by 20%. Predictive maintenance, dynamic replenishment, supplier performance monitoring, and faster defect analysis are becoming central capabilities for manufacturers seeking more resilient operations.
Cloud affordability is helping enterprises scale analytics environments without investing heavily in customised infrastructure. Post-pandemic requirements for multi-tier supplier visibility are further encouraging adoption, particularly in industries exposed to geopolitical disruption, raw material shortages, transportation volatility, and regulatory scrutiny.
Market expansion may be moderated by cybersecurity threats and the cost of modernising legacy technology. Inter-company data sharing increases exposure across connected supply chain networks, while security breaches can result in substantial financial losses, operational downtime, regulatory penalties, and remediation expenses. Zero-trust security architectures can reduce risk but may increase implementation costs and extend deployment schedules.
Supply Chain Analytics Market Segment Analysis
Software represented 66.12% of market revenue in 2025 as organisations invested in integrated platforms covering demand forecasting, inventory, production, procurement, and logistics. These platforms process large volumes of operational data to identify anomalies, recommend corrective measures, and improve planning accuracy.
Services are projected to record a 24.6% CAGR through 2031, making the segment a major source of future growth. Demand is rising for implementation, integration, managed services, and continuous platform optimisation. Vendors are increasingly offering outcome-based engagements linked to inventory turnover, service levels, logistics costs, and other measurable performance indicators.
Inventory and warehouse analytics remain important software categories. Artificial intelligence is enabling platforms to rebalance stock, schedule labour, optimise warehouse locations, and adjust replenishment plans with limited manual intervention. Competition is increasingly based on the speed and accuracy of insights rather than the number of available platform features.
Cloud deployments accounted for 62.31% of new installations in 2025. Organisations are prioritising scalable computing capacity, rapid software updates, and lower infrastructure requirements. Hybrid deployments continue to gain traction in regulated industries where sensitive data must remain on premises, while cloud environments support intensive analytics and artificial intelligence workloads. Edge capabilities also enable operational alerts at warehouses, yards, ports, and transportation hubs where connectivity may be limited.
Regional Supply Chain Analytics Market Outlook
North America held 40.85% of the global market in 2025, supported by early cloud adoption, strong technology investment, and regulatory requirements for supply chain transparency. Retailers across the United States use predictive allocation tools to balance physical store and e-commerce inventory. Manufacturers also rely on analytics to manage semiconductor sourcing, capacity constraints, reshoring initiatives, and clean-energy supply chains.
Asia-Pacific is forecast to be the fastest-growing regional market, advancing at a 24.8% CAGR through 2031. Regional growth is supported by expanding e-commerce activity, smart-factory programs, cloud migration incentives, and investment in new manufacturing capacity. Chinese enterprises are using cloud platforms to coordinate flexible production and extensive supplier networks. India's production-linked incentive programs are increasing demand for multi-tier supplier visibility, while Japanese manufacturers are applying analytics to improve resilience against natural disasters and geopolitical risks.
Europe maintains a significant market position, with sustainability analytics playing an increasingly important role in corporate reporting and supply chain management. Automotive, aerospace, and chemical companies are using collaborative platforms to share forecasts, improve inbound logistics, reduce emissions, and control costs. South America, the Middle East, and Africa are expanding from smaller market bases, led by adoption in consumer goods, mining, energy, and cross-border trade.
Key Topics Covered
1 INTRODUCTION
1.1 Market Definition and Study Assumptions
1.2 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET LANDSCAPE
4.1 Market Overview
4.2 Market Drivers
4.2.1 Retail e-commerce boom compressing fulfil-ment cycles
4.2.2 Industry 4.0 adoption amplifies shop-floor data exhaust
4.2.3 Cloud affordability for advanced analytics stacks
4.2.4 Post-pandemic resiliency mandates multi-tier visibility
4.2.5 Scope-3 carbon-traceability regulations (EU CSRD, SEC)
4.2.6 Gen-AI copilots slashing modelling skill barriers
4.3 Market Restraints
4.3.1 Cyber-attacks on integrated data pipelines
4.3.2 High total cost of ownership for legacy upgrades
4.3.3 Data quality and interoperability issues across tiers
4.3.4 Export-control rules throttling cloud data residency
4.4 Value / Supply-Chain Analysis
4.5 Regulatory Landscape
4.6 Technological Outlook
4.7 Porter's Five Forces Analysis
4.7.1 Bargaining Power of Suppliers
4.7.2 Bargaining Power of Consumers
4.7.3 Threat of New Entrants
4.7.4 Threat of Substitutes
4.7.5 Intensity of Competitive Rivalry
4.8 Impact of Macroeconomic Factors
5 MARKET SIZE AND GROWTH FORECASTS (VALUE)
5.1 By Component
5.1.1 Software
5.1.1.1 Demand Planning and Forecasting
5.1.1.2 Procurement and Sourcing Analytics
5.1.1.3 Inventory and Warehouse Analytics
5.1.1.4 Logistics and Transportation Analytics
5.1.1.5 Visualization and Reporting
5.1.2 Services
5.1.2.1 Professional Services
5.1.2.2 Managed Services
5.2 By Deployment
5.2.1 On-premise
5.2.2 Cloud
5.2.3 Hybrid
5.3 By Analytics Type
5.3.1 Descriptive
5.3.2 Diagnostic
5.3.3 Predictive
5.3.4 Prescriptive
5.3.5 Cognitive
5.4 By Application
5.4.1 Inventory Management
5.4.2 Demand Forecasting
5.4.3 Procurement Analytics
5.4.4 Supplier Performance Management
5.4.5 Logistics and Transportation Optimisation
5.4.6 Risk Management and Compliance
5.4.7 Sustainability Analytics
5.5 By End-use Industry
5.5.1 Retail and E-commerce
5.5.2 Manufacturing
5.5.3 Automotive
5.5.4 Healthcare and Life Sciences
5.5.5 Food and Beverage
5.5.6 Consumer Packaged Goods
5.5.7 Aerospace and Defence
5.5.8 High-Tech and Electronics
5.5.9 Others
5.6 By Enterprise Size
5.6.1 Large Enterprises
5.6.2 Small and Medium Enterprises (SMEs)
5.7 By Geography
5.7.1 North America
5.7.1.1 United States
5.7.1.2 Canada
5.7.1.3 Mexico
5.7.2 South America
5.7.2.1 Brazil
5.7.2.2 Argentina
5.7.2.3 Rest of South America
5.7.3 Europe
5.7.3.1 Germany
5.7.3.2 United Kingdom
5.7.3.3 France
5.7.3.4 Italy
5.7.3.5 Spain
5.7.3.6 Russia
5.7.3.7 Rest of Europe
5.7.4 Asia-Pacific
5.7.4.1 China
5.7.4.2 Japan
5.7.4.3 India
5.7.4.4 South Korea
5.7.4.5 Australia and New Zealand
5.7.4.6 Rest of Asia-Pacific
5.7.5 Middle East and Africa
5.7.5.1 Middle East
5.7.5.1.1 Saudi Arabia
5.7.5.1.2 UAE
5.7.5.1.3 Turkey
5.7.5.1.4 Rest of Middle East
5.7.5.2 Africa
5.7.5.2.1 South Africa
5.7.5.2.2 Nigeria
5.7.5.2.3 Kenya
5.7.5.2.4 Rest of Africa
6 COMPETITIVE LANDSCAPE
6.1 Market Concentration
6.2 Strategic Moves
6.3 Market Share Analysis
6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
6.4.1 IBM Corporation
6.4.2 SAP SE
6.4.3 Oracle Corporation
6.4.4 Blue Yonder Group Inc.
6.4.5 Accenture PLC
6.4.6 Manhattan Associates
6.4.7 Kinaxis Inc.
6.4.8 Infor (Koch Industries)
6.4.9 Coupa Software (Llamasoft)
6.4.10 SAS Institute Inc.
6.4.11 TIBCO Software Inc.
6.4.12 Software AG
6.4.13 Genpact Ltd.
6.4.14 Aera Technology
6.4.15 Capgemini SE
6.4.16 Datup.ai
6.4.17 GEP Worldwide
6.4.18 Logility Inc.
6.4.19 Resilinc
6.4.20 QlikTech International AB
7 MARKET OPPORTUNITIES AND FUTURE TRENDS
7.1 White-space and Unmet-need Assessment
For more information about this report visit https://www.researchandmarkets.com/r/ce8o9z
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