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Smart Farming Market - Global Forecast 2025-2032

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    Report

  • 199 Pages
  • October 2025
  • Region: Global
  • 360iResearch™
  • ID: 6084030
UP TO OFF until Jan 01st 2026
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Smart farming is redefining agricultural operations through integrated technologies, advanced data analytics, and automation, positioning stakeholders for improved productivity, sustainability, and resilience. This research provides crucial insights for senior decision-makers evaluating technology investments, operational efficiency, and long-term strategies in evolving agri-food value chains.

Market Snapshot: Smart Farming Market Size & Growth Outlook

The smart farming market grew from USD 22.16 billion in 2024 to USD 25.65 billion in 2025. It is expected to continue growing at a CAGR of 15.70%, reaching USD 71.19 billion by 2032. Adoption is spearheaded by robust demand for precise monitoring, increased regulatory rigor, and technological convergence across disparate agricultural processes.

Scope & Segmentation: Strategic Dimensions of the Smart Farming Market

  • Component: Hardware (Actuators, Controllers, Sensors); Services (Consulting, Support & Maintenance); Software (Data Analytics Software, Farm Management Software)
  • Crop Type: Cereals & Grains (Corn, Rice, Wheat); Fruits & Vegetables (Grape, Potato, Tomato); Oilseeds & Pulses (Canola, Chickpea, Soybean)
  • Application: Crop Monitoring (Drone Imaging, Satellite Imaging); Greenhouse Monitoring (Climate Control, Pest Management); Livestock Monitoring (Behavior Monitoring, Health Monitoring); Precision Farming (Variable Rate Application, Yield Mapping); Soil Monitoring (Moisture Monitoring, Nutrient Monitoring)
  • Farm Size: Large Farms, Medium Farms, Small Farms
  • Regions: Americas (North America—United States, Canada, Mexico; Latin America—Brazil, Argentina, Chile, Colombia, Peru); Europe, Middle East & Africa (Europe—United Kingdom, Germany, France, Russia, Italy, Spain, Netherlands, Sweden, Poland, Switzerland; Middle East—United Arab Emirates, Saudi Arabia, Qatar, Turkey, Israel; Africa—South Africa, Nigeria, Egypt, Kenya); Asia-Pacific (China, India, Japan, Australia, South Korea, Indonesia, Thailand, Malaysia, Singapore, Taiwan)
  • Leading Companies: Deere & Company, AGCO Corporation, CNH Industrial N.V., Trimble Inc., Topcon Corporation, Hexagon AB, Kubota Corporation, Bayer AG, Yara International ASA, Lindsay Corporation

Key Takeaways for Senior Decision-Makers

  • Smart farming advancements enable real-time decision support by integrating precise field data with analytics platforms, benefiting both large-scale operations and smaller farms.
  • The segment's diverse components—from sensors and controllers to management software—require stakeholders to balance capital allocation across hardware, software, and support services to maximize ROI.
  • Customization by crop type ensures that technology deployment meets the specific operational needs of staple, high-value, and specialty crops.
  • Geographic diversity, regulatory mandates, and regional infrastructure readiness significantly influence adoption patterns, as do population density and connectivity improvements in emerging Asia-Pacific markets.
  • Collaborative approaches, including partnerships and shared research between equipment manufacturers and software developers, foster ecosystem resilience and innovation.

Tariff Impact on Hardware, Data Analytics, and Adoption

Recent U.S. tariff measures on imported smart farming hardware are reshaping procurement and supply chain strategies. Rising costs for sensors and controllers are driving some market participants to seek alternative domestic or regional sources, and to evaluate entire technology stacks with tariff risk in mind. Software providers also face indirect pressures, as hardware price shifts influence product bundling and service pricing. These trends highlight the need for greater agility in sourcing and capital budgeting across the sector.

Research Methodology & Data Sources

This report relies on a blended approach, combining qualitative interviews with technology providers and farm operators, quantitative analysis of adoption trends and operational metrics, and thorough secondary research from industry publications, patents, and government sources. Data triangulation and expert cross-verification strengthen the reliability of findings.

Why This Report Matters for Smart Farming Market Stakeholders

  • Enables executive teams to benchmark technology investments and operational strategies against emerging competitors in global and regional markets.
  • Informs procurement, capital planning, and partnership decisions with clear visibility into segmentation, technological trends, and regulatory drivers shaping the sector.
  • Assists in risk mitigation by spotlighting supply chain pressures and proactive responses to policy changes affecting hardware and analytics deployment.

Conclusion

Smart farming is fast becoming essential for agricultural modernization, requiring adaptive technology and collaborative strategies. Ongoing monitoring, actionable data, and context-specific deployment will remain pivotal as global market fundamentals continue to evolve.

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. Integration of AI-driven predictive analytics platforms for precise crop yield forecasting
5.2. Deployment of IoT-enabled soil moisture sensors with real-time alerts for irrigation management
5.3. Implementation of autonomous drones equipped with multispectral cameras for crop health monitoring
5.4. Utilization of blockchain traceability solutions to ensure transparent supply chain operations in agriculture
5.5. Expansion of vertical farming systems integrating LED lighting and hydroponic technologies for urban crop production
5.6. Development of robotics for automated harvesting and post-harvest handling to reduce labor dependency on farms
5.7. Adoption of machine learning models for pest detection and targeted biocontrol interventions in field operations
5.8. Application of edge computing and 5G connectivity to support low-latency decision-making in precision agriculture
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Smart Farming Market, by Component
8.1. Hardware
8.1.1. Actuators
8.1.2. Controllers
8.1.3. Sensors
8.2. Services
8.2.1. Consulting
8.2.2. Support & Maintenance
8.3. Software
8.3.1. Data Analytics Software
8.3.2. Farm Management Software
9. Smart Farming Market, by Crop Type
9.1. Cereals & Grains
9.1.1. Corn
9.1.2. Rice
9.1.3. Wheat
9.2. Fruits & Vegetables
9.2.1. Grape
9.2.2. Potato
9.2.3. Tomato
9.3. Oilseeds & Pulses
9.3.1. Canola
9.3.2. Chickpea
9.3.3. Soybean
10. Smart Farming Market, by Application
10.1. Crop Monitoring
10.1.1. Drone Imaging
10.1.2. Satellite Imaging
10.2. Greenhouse Monitoring
10.2.1. Climate Control
10.2.2. Pest Management
10.3. Livestock Monitoring
10.3.1. Behavior Monitoring
10.3.2. Health Monitoring
10.4. Precision Farming
10.4.1. Variable Rate Application
10.4.2. Yield Mapping
10.5. Soil Monitoring
10.5.1. Moisture Monitoring
10.5.2. Nutrient Monitoring
11. Smart Farming Market, by Farm Size
11.1. Large Farms
11.2. Medium Farms
11.3. Small Farms
12. Smart Farming Market, by Region
12.1. Americas
12.1.1. North America
12.1.2. Latin America
12.2. Europe, Middle East & Africa
12.2.1. Europe
12.2.2. Middle East
12.2.3. Africa
12.3. Asia-Pacific
13. Smart Farming Market, by Group
13.1. ASEAN
13.2. GCC
13.3. European Union
13.4. BRICS
13.5. G7
13.6. NATO
14. Smart Farming Market, by Country
14.1. United States
14.2. Canada
14.3. Mexico
14.4. Brazil
14.5. United Kingdom
14.6. Germany
14.7. France
14.8. Russia
14.9. Italy
14.10. Spain
14.11. China
14.12. India
14.13. Japan
14.14. Australia
14.15. South Korea
15. Competitive Landscape
15.1. Market Share Analysis, 2024
15.2. FPNV Positioning Matrix, 2024
15.3. Competitive Analysis
15.3.1. Deere & Company
15.3.2. AGCO Corporation
15.3.3. CNH Industrial N.V.
15.3.4. Trimble Inc.
15.3.5. Topcon Corporation
15.3.6. Hexagon AB
15.3.7. Kubota Corporation
15.3.8. Bayer AG
15.3.9. Yara International ASA
15.3.10. Lindsay Corporation
List of Tables
List of Figures

Samples

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Companies Mentioned

The key companies profiled in this Smart Farming market report include:
  • Deere & Company
  • AGCO Corporation
  • CNH Industrial N.V.
  • Trimble Inc.
  • Topcon Corporation
  • Hexagon AB
  • Kubota Corporation
  • Bayer AG
  • Yara International ASA
  • Lindsay Corporation

Table Information