공급망 분석 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, supply chain analytics market size in 2026 is estimated at USD 10.97 billion, growing from 2025 value of USD 9.37 billion with 2031 projections showing USD 24.13 billion, growing at 17.12% CAGR over 2026-2031.

This report is Segmented by Component (Software [Demand Planning and Forecasting, and More]), by Deployment (On-Premise, Cloud, and More), by Analytics Type (Descriptive, and More), by Application (Inventory Management, and More), by End-Use Industry (Retail and E-Commerce, and More), by Enterprise Size (Large Enterprises, and More), and Geography.

Global Supply Chain Analytics Market Trends and Insights

Retail e-commerce fulfilment compression

Key Highlights

• Explosive online demand is shrinking delivery windows and forcing retailers to embed real-time analytics across order, stock, and transport nodes. Most adopters achieve 30% higher fulfilment rates and 25% lower logistics costs once prescriptive engines automate carrier selection and inventory placement. Canadian Tire, for instance, improved channel allocation during volatile peaks and lifted sales 20% by applying network-wide optimisation. As same-day delivery expectations spread to new categories, the supply chain analytics market will remain pivotal to margin defence and customer retention.

Industry 4.0 shop-floor data surge

Connected machinery streams live quality, throughput, and energy data that feeds wider supply-chain models, lifting overall equipment effectiveness by up to 15% and cutting quality costs 20% . Closing the OT-IT gap lets planners move from static schedules to dynamic replenishment aligned with real-time plant conditions. Predictive maintenance triggers extend asset life, while linking factory signals to supplier scorecards allows faster root-cause analysis of defects.

Cyber-attacks on data pipelines

Inter-company data flows widen the attack surface, and an average breach now costs USD 4.35 million when fines, downtime, and remediation are tallied . Firms offset risk with zero-trust architectures, but extra controls can lengthen project timelines and inflate budgets, tempering the near-term outlook for the supply chain analytics market.

Other drivers and restraints analyzed in the detailed report include:

1. Cloud affordability for analytics stacks
2. Post-pandemic multi-tier visibility mandate
3. High total cost of legacy upgrades

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software claimed 66.12% of 2025 revenue as firms invested in integrated suites that model demand, inventory, production, and logistics in one environment. These engines ingest billions of data points daily, surfacing anomalies and prescribing corrective actions. Yet services are the market's growth engine, advancing at 24.6% CAGR to 2031 as companies grasp that sustained value depends on continuous tuning. Vendors package outcome-based engagements that link fees to inventory turns or service-level gains, aligning incentives and expanding the supply chain analytics market.

Inside software, inventory and warehouse modules remain the profit core. AI upgrades convert them from passive dashboards to autonomous agents that rebalance stock, schedule labour, and replot warehouse slots without human intervention. Established vendors retrofit deep-learning add-ons, whereas smaller entrants release cloud-native platforms built around reinforcement learning. Competition therefore hinges on speed of insight delivery rather than breadth of feature checklists.

Cloud hosts delivered 62.31% of new installs in 2025, confirming that organisations prefer scalable compute and instant feature updates to custom on-premise stacks. Hybrid models gain favour where data sovereignty rules require sensitive workloads to remain in-house, yet batch analytics and AI training burst to the cloud for cost efficiency. Edge nodes push alerts to truck cabins and yard gates when connectivity lags, blending local autonomy with central governance. This distributed fabric unlocks multi-company use cases-from real-time ocean-freight tracking to collaborative capacity auctions-broadening the supply chain analytics market size for cloud vendors.

Complete Report Scope:

• By Component
  • Software
    • Demand Planning and Forecasting
    • Procurement and Sourcing Analytics
    • Inventory and Warehouse Analytics
    • Logistics and Transportation Analytics
    • Visualization and Reporting
  • Services
    • Professional Services
    • Managed Services
• By Deployment
  • On-premise
  • Cloud
  • Hybrid
• By Analytics Type
  • Descriptive
  • Diagnostic
  • Predictive
  • Prescriptive
  • Cognitive
• By Application
  • Inventory Management
  • Demand Forecasting
  • Procurement Analytics
  • Supplier Performance Management
  • Logistics and Transportation Optimisation
  • Risk Management and Compliance
  • Sustainability Analytics
• By End-use Industry
  • Retail and E-commerce
  • Manufacturing
  • Automotive
  • Healthcare and Life Sciences
  • Food and Beverage
  • Consumer Packaged Goods
  • Aerospace and Defence
  • High-Tech and Electronics
  • Others
• By Enterprise Size
  • Large Enterprises
  • Small and Medium Enterprises (SMEs)
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia and New Zealand
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • UAE
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Kenya
      • Rest of Africa

Geography Analysis

North America led with 40.85% share in 2025, driven by early cloud uptake, rich venture funding, and regulatory push for supply-chain transparency. US retailers apply predictive allocations to balance store and e-commerce stock, while manufacturers such as GM use analytics to steer chip sourcing strategies around capacity constraints. Federal incentives for semiconductor reshoring and clean-energy supply chains further elevate analytics budgets, as firms need live scenario modelling to weigh localisation against cost and risk.

Asia-Pacific is the fastest-growing region at 24.8% CAGR to 2031, buoyed by e-commerce booms, smart-factory programs, and government subsidies for cloud migration. Chinese enterprises apply cloud platforms to orchestrate flexible production and synchronise suppliers in sprawling industrial clusters mdpi.com . India's PLI (production-linked incentives) schemes entice global brands to build regional nodes, making visibility into tier-three suppliers a board mandate. Japanese manufacturers leverage analytics to redesign supplier ecosystems for resilience against natural disasters and geopolitical risk.

Europe retains a strong presence, led by sustainability analytics that supports strict CSRD disclosures. Automotive, aerospace, and chemicals companies use collaborative platforms like Confinity-X to pool demand forecasts and streamline inbound logistics, cutting both emissions and cost. South America and the Middle East and Africa expand from smaller bases, primarily in consumer goods, mining, and energy trade lanes where visibility gaps historically inflated working capital. Cross-border data corridors powered by cloud hyperscalers now enable real-time control-tower views in these emerging markets, reinforcing the global scope of the supply chain analytics market.

1. IBM Corporation
2. SAP SE
3. Oracle Corporation
4. Blue Yonder Group Inc.
5. Accenture PLC
6. Manhattan Associates
7. Kinaxis Inc.
8. Infor (Koch Industries)
9. Coupa Software (Llamasoft)
10. SAS Institute Inc.
11. TIBCO Software Inc.
12. Software AG
13. Genpact Ltd.
14. Aera Technology
15. Capgemini SE
16. Datup.ai
17. GEP Worldwide
18. Logility Inc.
19. Resilinc
20. QlikTech International AB

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

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