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Smart Agriculture Market - Global Forecast 2025-2032

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    Report

  • 181 Pages
  • October 2025
  • Region: Global
  • 360iResearch™
  • ID: 6011792
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The smart agriculture market is advancing rapidly, offering effective solutions that harness digital innovation to transform farm operations, empower agribusinesses, and foster sustainable practices amidst evolving industry dynamics.

Market Snapshot: Smart Agriculture Market Growth and Outlook

The Smart Agriculture Market grew from USD 17.42 billion in 2024 to USD 19.50 billion in 2025. It is expected to continue growing at a CAGR of 13.01%, reaching USD 46.37 billion by 2032. This robust growth signals increasing adoption of Internet of Things-enabled sensors, autonomous machinery, and cloud-based analytics, as stakeholders worldwide seek smarter, more resilient, and sustainable agricultural models. Strategic investments and regulatory frameworks are accelerating the shift toward precision farming and real-time monitoring, redefining operational efficiency and transparency in the industry.

Scope & Segmentation of the Smart Agriculture Market

This report offers a comprehensive examination of the global smart agriculture sector, detailing key market segments, geographies, and emerging technologies that define current and future opportunities. Stakeholders will benefit from clarity on demand drivers and practical adoption trends.

  • Offering: Automation and control systems (application control devices, autonomous tractors, drones, guidance systems, wireless modules), HVAC systems, RFID tags & readers, sensors (climate, soil, water), managed services (maintenance, support, training, consulting), professional services (climate information, supply chain management), data analytics platforms, farm management software.
  • Connectivity: Cellular (3G, 4G, 5G), LPWAN, satellite, wireless sensor networks (Bluetooth, Wi-Fi, ZigBee).
  • Technology: Artificial intelligence, machine learning, cloud computing, IoT, robotics, and automation.
  • Deployment Mode: On-premise and on-cloud installations.
  • Farm Size: Cooperative farms, large commercial farms, smallholder farms.
  • User Type: Agronomists, farmers, government agencies.
  • Application: Greenhouse management (climate and pest control), irrigation management (drip and sprinkler systems), livestock monitoring (animal health, behavior), precision farming, and soil monitoring (nutrients and texture).
  • Geographies: Americas (including United States, Canada, Mexico, Brazil, Argentina, Chile, Colombia, Peru), Europe, Middle East & Africa (such as United Kingdom, Germany, France, Russia, Italy, Spain, Middle East countries, South Africa, Nigeria, Kenya, Egypt), and Asia-Pacific (including China, India, Japan, Australia, South Korea, Indonesia, Thailand, Malaysia, Singapore, Taiwan).
  • Companies Analyzed: Trimble Inc., AGCO Corporation, AG Leader Technology, AgCinect LLC, AgEagle Aerial Systems Inc., Agrivi d.o.o., AGROBOT, SemiosBio Technologies Inc., Cropin Technology Solutions Pvt. Ltd., CropZilla Inc., Deere & Company, DeLaval Inc., Equinox's Drones Pvt. Ltd., Fancom B.V., Farmers Edge Inc., GEA Group Aktiengesellschaft, Hexagon AB, Jingxun Changtong Electronic Technology Co., Ltd., Lely International N.V., Nelson Irrigation Corporation, SZ DJI Technology Co., Ltd., The Climate Corporation by Bayer AG, Topcon Positioning Systems, Inc., Syngenta AG, Corteva Agriscience, Inc.

Key Takeaways for Senior Decision-Makers

  • Adoption of advanced digital technologies is transforming both field-level operations and high-level supply chain strategies in agriculture.
  • Smart agriculture’s multifaceted ecosystem encourages collaboration among hardware vendors, software providers, service consultants, and connectivity specialists for integrated solution delivery.
  • AI-driven analytics, IoT sensors, and robotics are empowering agronomists and producers to optimize input utilization, detect disease early, and better forecast yields across diverse farm types.
  • Regulatory policies and sustainability goals are influencing enterprise adoption, positioning traceability and climate-smart practices as central pillars of modern farming.
  • Regional differences in infrastructure and regulation reinforce the importance of tailoring hardware, connectivity, and support to specific geographies, from North American large-scale farms to Asia-Pacific smallholders.
  • Continuous innovation in hardware, cloud software, and mobile connectivity is fueling new service offerings and opening paths for strategic partnerships and market entry.

Tariff Impact and Economic Implications

Recent United States tariff policies are impacting component sourcing and cost structures, prompting supply chain diversification and renewed investment in domestic R&D and manufacturing. Service and cloud solution providers are adapting their pricing and operational partnerships to maintain value and market competitiveness. These changes are strengthening market resilience and fueling a broader shift toward innovation, localization, and risk mitigation in smart agriculture solutions.

Research Methodology & Data Sources

This report employs a multi-tiered methodology, integrating secondary research from industry publications and white papers with primary insights from structured interviews, field surveys, and expert panels. Robust data triangulation and regional validation ensure comprehensive, actionable findings for industry stakeholders.

Why This Report Matters for Strategic Leaders

  • Enables informed, data-driven investment and technology adoption decisions in a dynamic agri-tech landscape.
  • Clarifies complex market drivers, regulatory risks, and optimal partnership opportunities for senior executives and policymakers.
  • Delivers a holistic map of segmentation, regional dynamics, and market positioning to guide long-term strategic planning.

Conclusion

The smart agriculture market is evolving through technology integration, regulatory shifts, and regional adaptation. Leaders equipped with this research can confidently accelerate innovation, strengthen operations, and pursue sustainable, forward-looking growth in a changing global environment.

 

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. Integration of edge computing and AI-driven drone imagery for real-time crop health analytics and yield prediction
5.2. Deployment of LoRaWAN and NB-IoT networks to enable scalable sensor connectivity across expansive remote farmland
5.3. Implementation of soil moisture sensors tied to weather data APIs for automated precision irrigation management
5.4. Adoption of blockchain-enabled traceability systems for secure end-to-end farm-to-fork produce tracking
5.5. Use of autonomous robotic weeders leveraging computer vision and machine learning for sustainable weed control
5.6. Development of digital twin models combining drone multispectral imaging and soil data for yield optimization
5.7. Integration of AI-powered hyperspectral imaging in greenhouses for early detection of crop diseases and stress
5.8. Incorporation of wearable IoT biometrics sensors for continuous livestock health and behavior monitoring
5.9. Implementation of solar-powered, low-energy sensor networks to support off-grid smart farm operations
5.10. Utilization of satellite remote sensing fused with UAV data for comprehensive precision agriculture decision support
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. IoT in Smart Farming Market, by Component
8.1. Hardware
8.1.1. Controllers
8.1.2. Drones
8.1.3. Gateways
8.1.4. Robotics
8.1.5. Sensor Module
8.2. Services
8.2.1. Consulting
8.2.2. Integration Services
8.2.3. Support Services
8.3. Software
8.3.1. Analytics
8.3.1.1. Descriptive Analytics
8.3.1.2. Predictive Analytics
8.3.2. Monitoring
8.3.2.1. Real Time Monitoring
8.3.2.2. Remote Monitoring
8.3.3. Platform
8.3.3.1. Cloud Platform
8.3.3.2. On Premises Platform
9. IoT in Smart Farming Market, by Application
9.1. Crop Monitoring
9.1.1. Disease Detection
9.1.2. Yield Prediction
9.2. Greenhouse Automation
9.2.1. Climate Control
9.2.2. Nutrient Delivery
9.3. Livestock Monitoring
9.3.1. Health Monitoring
9.3.2. Location Tracking
9.4. Precision Irrigation
9.4.1. Automated Irrigation Systems
9.4.2. Soil Moisture Management
10. IoT in Smart Farming Market, by Connectivity Technology
10.1. Bluetooth
10.1.1. BLE
10.1.2. Classic
10.2. Cellular
10.2.1. 3G
10.2.2. 4G
10.2.3. 5G
10.3. LPWAN
10.3.1. LoRaWAN
10.3.2. NB Iot
10.3.3. Sigfox
10.4. Satellite
10.4.1. GEO
10.4.2. LEO
10.5. Wi Fi
10.5.1. IEEE 802.11ac
10.5.2. IEEE 802.11n
11. IoT in Smart Farming Market, by Technology Type
11.1. AI & Analytics
11.1.1. Machine Learning Models
11.1.2. Predictive Analytics
11.2. Imaging Technology
11.2.1. Multispectral Imaging
11.2.2. Thermal Imaging
11.3. Robotics & Automation
11.3.1. Autonomous Tractors
11.3.2. Drones
11.3.3. Robotic Harvesters
11.4. Sensors
11.4.1. Soil Sensors
11.4.2. Ultrasonic Sensors
11.4.3. Weather Sensors
12. IoT in Smart Farming Market, by Farm Type
12.1. Aquaculture
12.1.1. Fish Farming
12.1.2. Shellfish Farming
12.2. Crop Farming
12.2.1. Cereal Crops
12.2.2. Horticulture
12.3. Livestock Farming
12.3.1. Dairy
12.3.2. Poultry
12.3.3. Swine
13. IoT in Smart Farming 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. IoT in Smart Farming Market, by Group
14.1. ASEAN
14.2. GCC
14.3. European Union
14.4. BRICS
14.5. G7
14.6. NATO
15. IoT in Smart Farming 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. Trimble Inc.
16.3.2. CNH Industrial N.V.
16.3.3. AGCO Corporation
16.3.4. CLAAS KGaA mbH
16.3.5. Kubota Corporation
16.3.6. Ag Leader Technology
16.3.7. Topcon Corporation
16.3.8. Hexagon AB
16.3.9. Bayer AG
16.3.10. Siemens AG

Companies Mentioned

The companies profiled in this Smart Agriculture market report include:
  • Trimble Inc.
  • AGCO Corporation
  • AG Leader Technology
  • AgCinect LLC
  • AgEagle Aerial Systems Inc.
  • Agrivi d.o.o.
  • AGROBOT
  • SemiosBio Technologies Inc.
  • Cropin Technology Solutions Pvt. Ltd.
  • CropZilla Inc.
  • Deere & Company
  • DeLaval Inc.
  • Equinox's Drones Pvt. Ltd.
  • Fancom B.V.
  • Farmers Edge Inc.
  • GEA Group Aktiengesellschaft
  • Hexagon AB
  • Jingxun Changtong Electronic Technology Co., Ltd.
  • Lely International N.V.
  • Nelson Irrigation Corporation
  • SZ DJI Technology Co., Ltd.
  • The Climate Corporation by Bayer AG
  • Topcon Positioning Systems, Inc.
  • Syngenta AG
  • Corteva Agriscience, Inc.

Table Information