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Precision Farming Market - Global Forecast 2025-2032

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    Report

  • 180 Pages
  • October 2025
  • Region: Global
  • 360iResearch™
  • ID: 4857863
UP TO OFF until Jan 01st 2026
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Precision farming market trends are empowering agribusiness leaders to maximize efficiency through advanced technology and data integration. These developments are driving sector-wide shifts in resource management and operational sustainability, keeping global agricultural stakeholders competitive and resilient.

Market Snapshot: Precision Farming Market Size and Growth

The global precision farming market expanded from USD 10.41 billion in 2024 to USD 11.49 billion in 2025 and is projected to achieve a CAGR of 10.94%, reaching USD 23.90 billion by 2032. This growth reflects surging demand for food production, increased attention to environmental sustainability, and dynamic adoption of agricultural technology. Stakeholders are investing in digital infrastructure and smart farming tools, seeking solutions that align with both productivity goals and environmental responsibility. Ongoing investments are strengthening the landscape for connected technologies and data-driven platforms, particularly as senior leaders prioritize scalable approaches for future-ready agribusiness.

Scope & Segmentation of the Precision Farming Market

This report delivers comprehensive precision farming market segmentation, enabling strategic benchmarking, informed business development, and tactical planning for senior decision-makers:

  • Offering: Automation and control machinery, data processing and computing hardware, sensing and monitoring devices, managed services, professional services, data analytics platforms, and farm management software (FMS) help organizations address efficiency and data integration needs.
  • Produce Type: Segmentation covers cereals and grains such as barley, corn, rice, wheat; fruits and vegetables, including apples, berries, citrus fruits, leafy greens, and tomatoes; livestock; oilseeds and pulses such as canola, lentils, soybean, sunflower, and plantation crops, supporting varied agricultural operations and value chains.
  • Technology: Key technologies include artificial intelligence and machine learning, GPS/GNSS, Internet of Things (IoT), and remote sensing and imagery, allowing scalable automation and precision decision-making across diverse environments.
  • Farm Size: Solutions are differentiated for farms spanning less than 100 acres, 100-500 acres, and more than 500 acres, ensuring relevancy for both smaller agricultural entities and commercial-scale operations.
  • Application: Crop scouting and protection—covering disease detection, pest and weed monitoring—integrates with field mapping and zonation, irrigation and water management, seeding and planting, soil and nutrient management, and yield monitoring to drive process innovation.
  • End-user: Segments include agricultural cooperatives, company-owned or corporate farms, individual farmers, and research institutions and universities, delivering broad applicability in public and private sectors.
  • Regions: The market spans the Americas (including the United States, Canada, Mexico, Brazil, Argentina, Chile, Colombia, Peru), Europe, Middle East and Africa (covering United Kingdom, Germany, France, Russia, Italy, Spain, Netherlands, Sweden, Poland, Switzerland, United Arab Emirates, Saudi Arabia, Qatar, Turkey, Israel, South Africa, Nigeria, Egypt, Kenya), and Asia-Pacific (China, India, Japan, Australia, South Korea, Indonesia, Thailand, Malaysia, Singapore, Taiwan), demonstrating widespread adoption and regional customization.
  • Companies: Covered businesses are AG Leader Technology, AGCO Corporation, Bayer AG, Cargill Incorporated, Climate LLC, CNH Industrial N.V., Corteva, Inc., CropX Technologies Ltd., Dickey-John Corporation, Farmers Edge Inc., Grownetics, Inc., Hexagon AB, Deere & Company, Lindsay Corporation, METER Group Inc., SENCROP, Topcon Positioning Systems, Inc., Trimble Inc., Yara International ASA, Tetra Laval Group, Kubota Corporation, TELUS Agriculture Solutions Inc.

Key Takeaways for Senior Decision-Makers

  • Technology integration is enabling agricultural businesses to move from manual processes to data-centric, automated workflows, improving both operational efficiency and resource utilization.
  • Segmentation by produce and farm size tailors deployment approaches to meet the distinct needs of both large-scale enterprises and smaller producers, supporting flexible adoption.
  • Deployments of advanced sensors, autonomous vehicles, drones, and cloud-based analytics capture real-time field performance, facilitating prompt and informed decision-making for executives.
  • Collaborative platforms strengthen connectivity across the agricultural supply chain, improving transparency, communication, and risk mitigation for producers, suppliers, and cooperatives.
  • Modular, open-architecture solutions support adoption across diverse operating environments, removing entry barriers for a variety of farm operations and enhancing scalability.
  • Strategic alliances among technology providers and research institutions are accelerating collaborative innovation and expanding access to market-ready precision farming solutions.

Tariff Impact: Navigating Regulatory Shifts

Forthcoming U.S. tariffs set for 2025 are changing sourcing and procurement strategies in the precision farming sector. Heightened import duties on select hardware components are prompting local manufacturing growth, while alternative approaches such as equipment subscription models are gaining favor. Executives must adapt procurement and budgeting strategies to evolving regulatory and operational environments.

Methodology & Data Sources

The analysis is built on primary research involving direct interviews with agronomists, technology vendors, and farm operators, as well as multiple site visits and real-time agricultural sensor data. Additionally, a thorough review of recognized industry publications, academic papers, and regulatory materials is incorporated, using SWOT and PESTEL models for robust validation.

Why This Report Matters

  • Provides actionable intelligence for senior management making capital investment and technology deployment decisions, ensuring long-term organizational resilience in agribusiness.
  • Supports leaders in managing shifting market dynamics, supply chain complexity, and the impact of regulatory change within precision agriculture.
  • Facilitates effective benchmarking, competitive positioning, and partnerships along the agricultural value chain, driving market-aligned strategy.

Conclusion

Precision farming technologies are reshaping agricultural operations for efficiency and sustainability. Senior leaders leveraging data-driven insights will position their organizations for adaptability, competitive growth, and enduring success in global markets.

 

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 AI-driven decision support systems in precision farming operations boosts yield optimization
5.2. Precision sprayer drones with real-time multispectral imaging transform crop management strategies
5.3. Utilization of digital twin crop modeling platforms for predictive yield forecasting and risk management in smart farming
5.4. Integration of robotics for automated weeding and targeted pest control to reduce chemical usage in precision agriculture
5.5. Implementation of blockchain-enabled supply chain tracking for enhanced transparency in precision produce distribution
5.6. Development of carbon credit trading platforms linked to precision farming data for incentivizing sustainable agricultural practices
5.7. Deployment of autonomous field robots for precision weeding and targeted pesticide application
5.8. Implementation of blockchain-enabled supply chain tracking for agricultural data transparency
5.9. Expansion of edge computing solutions in farm machinery for low-latency decision-making at field level
5.10. Adoption of AI-driven predictive analytics for real-time crop disease management
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Precision Farming Market, by Offering
8.1. Hardware
8.1.1. Automation & Control Machinery
8.1.2. Data Processing & Computing Hardware
8.1.3. Sensing & Monitoring Devices
8.2. Services
8.2.1. Managed Services
8.2.2. Professional Services
8.3. Software
8.3.1. Data Analytics Platforms
8.3.2. Farm Management Software (FMS)
9. Precision Farming Market, by Produce Type
9.1. Cereals & Grains
9.1.1. Barley
9.1.2. Corn
9.1.3. Rice
9.1.4. Wheat
9.2. Fruits & Vegetables
9.2.1. Apples
9.2.2. Berries
9.2.3. Citrus Fruits
9.2.4. Leafy Greens
9.2.5. Tomatoes
9.3. Livestock
9.4. Oilseeds & Pulses
9.4.1. Canola (Rapeseed)
9.4.2. Lentils
9.4.3. Soybean
9.4.4. Sunflower
9.5. Plantation Crops
10. Precision Farming Market, by Technology
10.1. Artificial Intelligence & Machine Learning
10.2. GPS/GNSS
10.3. Internet of Things (IoT)
10.4. Remote Sensing & Imagery
11. Precision Farming Market, by Farm Size
11.1. 100-500 Acres
11.2. Less than 100 Acres
11.3. More than 500 Acres
12. Precision Farming Market, by Application
12.1. Crop Scouting & Crop Protection
12.1.1. Disease Detection
12.1.2. Pest Monitoring
12.1.3. Weed Detection
12.2. Farm Fleet & Asset Management
12.3. Field Mapping & Zonation
12.4. Irrigation & Water Management
12.4.1. Crop Water Stress Detection
12.4.2. Irrigation Scheduling
12.4.3. Variable Rate Irrigation
12.5. Seeding & Planting
12.5.1. Planter Control
12.5.2. Prescription Generation
12.6. Soil & Nutrient Management
12.7. Yield Monitoring & Forecasting
13. Precision Farming Market, by End-user
13.1. Agricultural Co-operatives
13.2. Company-Owned/Corporate Farms
13.3. Individual Farmers
13.4. Research Institutions & Universities
14. Precision Farming Market, by Region
14.1. Americas
14.1.1. North America
14.1.2. Latin America
14.2. Europe, Middle East & Africa
14.2.1. Europe
14.2.2. Middle East
14.2.3. Africa
14.3. Asia-Pacific
15. Precision Farming Market, by Group
15.1. ASEAN
15.2. GCC
15.3. European Union
15.4. BRICS
15.5. G7
15.6. NATO
16. Precision Farming Market, by Country
16.1. United States
16.2. Canada
16.3. Mexico
16.4. Brazil
16.5. United Kingdom
16.6. Germany
16.7. France
16.8. Russia
16.9. Italy
16.10. Spain
16.11. China
16.12. India
16.13. Japan
16.14. Australia
16.15. South Korea
17. Competitive Landscape
17.1. Market Share Analysis, 2024
17.2. FPNV Positioning Matrix, 2024
17.3. Competitive Analysis
17.3.1. AGCO Corporation
17.3.2. Bayer AG
17.3.3. Cargill Incorporated
17.3.4. CNH Industrial N.V.
17.3.5. Corteva, Inc.
17.3.6. Hexagon AB
17.3.7. Lindsay Corporation
17.3.8. Topcon Positioning Systems, Inc.
17.3.9. Yara International ASA
17.3.10. Tetra Laval Group
17.3.11. Kubota Corporation
List of Tables
List of Figures

Samples

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Companies Mentioned

The key companies profiled in this Precision Farming market report include:
  • AG Leader Technology
  • AGCO Corporation
  • Bayer AG
  • Cargill Incorporated
  • Climate LLC
  • CNH Industrial N.V.
  • Corteva, Inc.
  • CropX Technologies Ltd.
  • Dickey-John Corporation
  • Farmers Edge Inc.
  • Grownetics, Inc.
  • Hexagon AB
  • Deere & Company
  • Lindsay Corporation
  • METER Group Inc.
  • SENCROP
  • Topcon Positioning Systems, Inc.
  • Trimble Inc.
  • Yara International ASA
  • Tetra Laval Group
  • Kubota Corporation
  • TELUS Agriculture Solutions Inc.

Table Information