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Smart Agricultural Supply Chains Market - Global Forecast 2025-2032

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    Report

  • 189 Pages
  • November 2025
  • Region: Global
  • 360iResearch™
  • ID: 6079142
UP TO OFF until Jan 01st 2026
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The smart agricultural supply chains market is rapidly evolving, enabling organizations across the global food production sector to achieve new heights in efficiency, traceability, and resilience. Powered by digital transformation and cross-industry collaboration, this market is redefining how agricultural stakeholders manage resources, optimize processes, and respond to shifting consumer and regulatory demands.

Smart Agricultural Supply Chains Market Snapshot

The smart agricultural supply chains market grew from USD 2.69 billion in 2024 to USD 3.03 billion in 2025. It is expected to continue growing at a CAGR of 13.00%, reaching USD 7.17 billion by 2032.

Scope & Segmentation

This report delivers in-depth analysis and forecasts across the following segments and regions:

  • Components: Actuators, Edge Devices, Gateways, Sensors, Consulting, Support & Maintenance, Analytics, Farm Management, Monitoring
  • Technologies: Artificial Intelligence, Big Data Analytics, Computer Vision, Internet of Things, Machine Learning
  • Deployment Modes: Private Cloud, Public Cloud, On Premise
  • Crop Types: Maize, Rice, Wheat, Berries, Grapes, Tomatoes, Lentils, Soybeans, Sunflowers
  • Applications: Animal Tracking, Behavior Analysis, Health Monitoring, Crop Health Monitoring, Soil Analysis, Yield Prediction, Automated Irrigation Systems, Soil Moisture Monitoring, Cold Chain Monitoring, Farm To Customer Supply
  • Regions: United States, Canada, Mexico, Brazil, Argentina, Chile, Colombia, Peru, United Kingdom, Germany, France, Russia, Italy, Spain, Netherlands, Sweden, Poland, Switzerland, United Arab Emirates, Saudi Arabia, Qatar, Turkey, Israel, South Africa, Nigeria, Egypt, Kenya, China, India, Japan, Australia, South Korea, Indonesia, Thailand, Malaysia, Singapore, Taiwan
  • Companies: AGCO Corporation, AgriDigital, AgriProve Pty Ltd., Bunge Limited, Cargill Incorporated, CNH Industrial NV, CropZilla Inc., DroneDeploy, Eka Software Solutions, GrainChain Inc., Indigo Ag Inc., International Business Machines Corporation, LexisNexis Risk Solutions, Microsoft Corporation, Oracle Corporation, SAP SE, Syngenta Crop Protection AG

Primary Keyword: Smart Agricultural Supply Chains Market

Key Takeaways

  • Innovative technologies such as AI, IoT, and real-time analytics are transforming monitoring, traceability, and resource management across the agricultural value chain.
  • Stakeholders are increasingly leveraging cloud platforms and interoperable systems, resulting in higher transparency and better risk mitigation.
  • Regional diversity—including large-scale farming operations in the Americas, sustainability-focused regulations in Europe, and rapid digitization in Asia-Pacific—necessitates tailored strategies and localized solutions.
  • Industry leaders are forming strategic partnerships to accelerate innovation, bridge capability gaps, and handle region-specific operational challenges.
  • Deployment choices, between public cloud, private cloud, and on-premise solutions, influence scalability, data security, and implementation complexity.
  • Segment-specific opportunities exist in areas such as livestock monitoring, smart irrigation, and supply chain traceability, driving value for producers and distributors alike.

Tariff Impact

The implementation of United States tariffs in 2025 has created new challenges for global supply chains, particularly those reliant on cross-border trade of hardware and digital services. Companies are adjusting procurement and sourcing strategies, exploring alternative supply bases, and localizing support operations. These shifts are prompting increased focus on resilient, adaptable architectures to safeguard business continuity and manage cost volatility.

Methodology & Data Sources

This research utilizes a rigorous blend of primary and secondary data sources. Insights were gathered through structured interviews with industry leaders, technology experts, and end users, supplemented by a comprehensive review of market reports, technical documentation, and regulatory filings. Triangulation of findings and validation from panels of domain specialists ensure robust, credible analysis.

Why This Report Matters

  • Delivers actionable intelligence on technology adoption, stakeholder strategies, and emerging regional opportunities for smart agriculture.
  • Offers practical recommendations to optimize investments and manage geopolitical or supply-chain risks in a dynamic market.
  • Supports strategic planning with data-driven segmentation covering components, technologies, deployment options, crops, applications, and regions.

Conclusion

Digital transformation continues to reshape global agriculture, creating fresh opportunities for value creation and operational excellence. This report provides a comprehensive framework to support strategic decisions and foster sustainable growth for stakeholders in the smart agricultural supply chains market.

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. Implementing digital twin simulations of supply chain networks to optimize routing and minimize post-harvest losses
5.2. Applying satellite imagery analytics integrated with weather models for adaptive field management scheduling
5.3. Integration of IoT-enabled soil sensors and drones for precision irrigation and fertilization optimization
5.4. Adoption of blockchain traceability platforms to enhance transparency in multi-tiered supply chains
5.5. Deployment of AI-driven predictive analytics for crop yield forecasting and proactive resource allocation
5.6. Implementation of automated cold chain logistics using temperature-controlled smart containers with real-time monitoring
5.7. Development of cloud-based platforms integrating farm management systems with market demand forecasting tools
5.8. Integration of renewable energy solutions in storage facilities to reduce carbon footprint and operational costs
5.9. Employing swarm drone networks for large-scale seeding and targeted pesticide application to reduce chemical usage
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Smart Agricultural Supply Chains Market, by Component
8.1. Hardware
8.1.1. Actuators
8.1.2. Edge Devices
8.1.3. Gateways
8.1.4. Sensors
8.2. Service
8.2.1. Consulting
8.2.2. Support & Maintenance
8.3. Software
8.3.1. Analytics
8.3.2. Farm Management
8.3.3. Monitoring
9. Smart Agricultural Supply Chains Market, by Technology
9.1. Artificial Intelligence
9.2. Big Data Analytics
9.3. Computer Vision
9.4. Internet of Things
9.5. Machine Learning
10. Smart Agricultural Supply Chains Market, by Deployment Mode
10.1. Cloud
10.1.1. Private Cloud
10.1.2. Public Cloud
10.2. On Premise
11. Smart Agricultural Supply Chains Market, by Crop Type
11.1. Cereals
11.1.1. Maize
11.1.2. Rice
11.1.3. Wheat
11.2. Fruits & Vegetables
11.2.1. Berries
11.2.2. Grapes
11.2.3. Tomatoes
11.3. Oilseeds & Pulses
11.3.1. Lentils
11.3.2. Soybeans
11.3.3. Sunflowers
12. Smart Agricultural Supply Chains Market, by Application
12.1. Livestock Monitoring
12.1.1. Animal Tracking
12.1.2. Behavior Analysis
12.1.3. Health Monitoring
12.2. Precision Farming
12.2.1. Crop Health Monitoring
12.2.2. Soil Analysis
12.2.3. Yield Prediction
12.3. Smart Irrigation
12.3.1. Automated Irrigation Systems
12.3.2. Soil Moisture Monitoring
12.4. Supply Chain Traceability
12.4.1. Cold Chain Monitoring
12.4.2. Farm To Customer Supply
13. Smart Agricultural Supply Chains 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. Smart Agricultural Supply Chains Market, by Group
14.1. ASEAN
14.2. GCC
14.3. European Union
14.4. BRICS
14.5. G7
14.6. NATO
15. Smart Agricultural Supply Chains 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. AGCO Corporation
16.3.2. AgriDigital
16.3.3. AgriProve Pty Ltd.
16.3.4. Bunge Limited
16.3.5. Cargill, Incorporated
16.3.6. CNH Industrial NV
16.3.7. CropZilla Inc.
16.3.8. DroneDeploy
16.3.9. Eka Software Solutions
16.3.10. GrainChain, Inc.
16.3.11. Indigo Ag, Inc.
16.3.12. International Business Machines Corporation
16.3.13. LexisNexis Risk Solutions
16.3.14. Microsoft Corporation
16.3.15. Oracle Corporation
16.3.16. SAP SE
16.3.17. Syngenta Crop Protection AG

Companies Mentioned

The companies profiled in this Smart Agricultural Supply Chains market report include:
  • AGCO Corporation
  • AgriDigital
  • AgriProve Pty Ltd.
  • Bunge Limited
  • Cargill, Incorporated
  • CNH Industrial NV
  • CropZilla Inc.
  • DroneDeploy
  • Eka Software Solutions
  • GrainChain, Inc.
  • Indigo Ag, Inc.
  • International Business Machines Corporation
  • LexisNexis Risk Solutions
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • Syngenta Crop Protection AG

Table Information