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Agriculture Supply Chain Management Market - Global Forecast 2025-2032

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    Report

  • 193 Pages
  • October 2025
  • Region: Global
  • 360iResearch™
  • ID: 6014906
UP TO OFF until Jan 01st 2026
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The agriculture supply chain management market is witnessing transformative change as senior leaders grapple with increased complexity, advancing technologies, and shifting global conditions. Businesses are rethinking core strategies to maintain supply chain agility, resilience, and transparency while capitalizing on new opportunities.

Market Snapshot: Agriculture Supply Chain Management Market Size and Outlook

The Agriculture Supply Chain Management Market grew from USD 1.40 billion in 2024 to USD 1.58 billion in 2025. It is expected to continue growing at a CAGR of 12.94%, reaching USD 3.71 billion by 2032.

Scope & Segmentation: Comprehensive Coverage Across Components, Deployments, and Regions

  • Component
    • Services, including managed services and professional services
    • Software solutions
  • Deployment
    • Cloud platforms
    • On premise solutions
  • Application
    • Inventory management
    • Logistics management, including fleet management and route optimization
    • Procurement mechanisms such as contractual and spot procurement
    • Supply chain planning
    • Traceability enabled by blockchain and IoT
  • End User
    • Distributors
    • Farmers
    • Processors
    • Retailers
    • Wholesalers
  • Organization Size
    • Large enterprises
    • Medium enterprises
    • Small enterprises
  • Region
    • Americas (North America, Latin America)
    • Europe, Middle East & Africa
    • Asia-Pacific
  • Key Players Analyzed
    • SAP SE, Oracle Corporation, International Business Machines Corporation, Infor, Inc., Blue Yonder GmbH, Trimble Inc., Tecsys Inc., Descartes Systems Group Inc., One Network Enterprises, Inc., AgriDigital Pty Ltd

Key Takeaways: Strategic Insights for Senior Decision-Makers

  • Real-time data integration and advanced analytics are foundational for managing volatility across the agricultural value chain.
  • Blockchain and IoT are driving enhanced transparency, regulatory compliance, and product traceability from farm to end-user.
  • Cloud-based deployments enable scalability and remote access, supporting widespread digital transformation initiatives.
  • Segment-specific solutions are critical. Large enterprises pursue end-to-end transformation, while smaller organizations seek modular, rapid-ROI offerings.
  • Collaboration through strategic alliances, public-private partnerships, and shared digital platforms drives innovation and addresses infrastructure gaps.
  • Regional dynamics and diverse regulatory environments necessitate tailored strategies for market expansion and risk management.

Tariff Impact: U.S. Policy Shaping Input Costs and Trade Flows

Recent U.S. tariff measures are elevating input costs for fertilizers, equipment, and seed technologies, pushing supply chain leaders to renegotiate contracts and shift sourcing priorities. This shift impacts both large and small enterprises differently, often intensifying competition for local resources and increasing the need for collaborative networks to mitigate cost pressures and ensure supply chain continuity.

Primary Keyword: agriculture supply chain management

Methodology & Data Sources

This report applies a mixed-methods approach, including secondary research of industry publications, regulatory filings, and expert workshops. Thorough primary data collection via executive interviews and structured surveys with procurement, logistics, and IT leaders underpins the analysis. Data triangulation and quantitative techniques ensure robust, actionable insights.

Why This Report Matters: Driving Outcomes for Leaders

  • Enables organizations to benchmark digital and operational strategies across geographies, organizational sizes, and verticals.
  • Supports informed decision-making for investments in technologies such as AI, IoT, blockchain, and cloud-driven solutions.
  • Empowers leaders to build supply chain resilience, anticipate regulatory shifts, and respond proactively to industry disruptions.

Conclusion

As global dynamics reshape agriculture supply chain management, organizations benefit by adopting insights-driven, adaptable frameworks. This report provides actionable intelligence to support sustained growth, resilience, and competitive advantage across all segments and geographies.

 

Additional Product Information:

  • Purchase of this report includes 1 year online access with quarterly updates.
  • This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Traceability and blockchain adoption for end-to-end farm-to-fork transparency
5.2. AI-driven predictive analytics for yield forecasting and supply optimization
5.3. IoT-enabled cold chain monitoring to minimize postharvest losses in perishables
5.4. Sustainable packaging solutions and circular economy integration for agri-products
5.5. Digital marketplace platforms connecting smallholder farmers with global buyers
5.6. Autonomous delivery vehicles and drones for last-mile agricultural logistics
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Agriculture Supply Chain Management Market, by Component
8.1. Services
8.1.1. Managed Services
8.1.2. Professional Services
8.2. Software
9. Agriculture Supply Chain Management Market, by Deployment
9.1. Cloud
9.2. On Premise
10. Agriculture Supply Chain Management Market, by Application
10.1. Inventory Management
10.2. Logistics Management
10.2.1. Fleet Management
10.2.2. Route Optimization
10.3. Procurement
10.3.1. Contractual Procurement
10.3.2. Spot Procurement
10.4. Supply Chain Planning
10.5. Traceability
10.5.1. Blockchain Traceability
10.5.2. IoT Traceability
11. Agriculture Supply Chain Management Market, by End User
11.1. Distributors
11.2. Farmers
11.3. Processors
11.4. Retailers
11.5. Wholesalers
12. Agriculture Supply Chain Management Market, by Organization Size
12.1. Large Enterprises
12.2. Small And Medium Enterprises
12.2.1. Medium Enterprises
12.2.2. Small Enterprises
13. Agriculture Supply Chain Management Market, by Region
13.1. Americas
13.1.1. North America
13.1.2. Latin America
13.2. Europe, Middle East & Africa
13.2.1. Europe
13.2.2. Middle East
13.2.3. Africa
13.3. Asia-Pacific
14. Agriculture Supply Chain Management Market, by Group
14.1. ASEAN
14.2. GCC
14.3. European Union
14.4. BRICS
14.5. G7
14.6. NATO
15. Agriculture Supply Chain Management Market, by Country
15.1. United States
15.2. Canada
15.3. Mexico
15.4. Brazil
15.5. United Kingdom
15.6. Germany
15.7. France
15.8. Russia
15.9. Italy
15.10. Spain
15.11. China
15.12. India
15.13. Japan
15.14. Australia
15.15. South Korea
16. Competitive Landscape
16.1. Market Share Analysis, 2024
16.2. FPNV Positioning Matrix, 2024
16.3. Competitive Analysis
16.3.1. SAP SE
16.3.2. Oracle Corporation
16.3.3. International Business Machines Corporation
16.3.4. Infor, Inc.
16.3.5. Blue Yonder GmbH
16.3.6. Trimble Inc.
16.3.7. Tecsys Inc.
16.3.8. Descartes Systems Group Inc.
16.3.9. One Network Enterprises, Inc.
16.3.10. AgriDigital Pty Ltd

Companies Mentioned

The companies profiled in this Agriculture Supply Chain Management market report include:
  • SAP SE
  • Oracle Corporation
  • International Business Machines Corporation
  • Infor, Inc.
  • Blue Yonder GmbH
  • Trimble Inc.
  • Tecsys Inc.
  • Descartes Systems Group Inc.
  • One Network Enterprises, Inc.
  • AgriDigital Pty Ltd

Table Information