정밀농업 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, precision farming market size in 2026 is estimated at USD 16.61 billion, growing from 2025 value of USD 14.77 billion with 2031 projections showing USD 29.86 billion, growing at 12.45% CAGR over 2026-2031.

This report is Segmented by Technology (Guidance Systems, Remote Sensing, Variable-Rate Technology, Drones and UAVs, and More), Component (Hardware, Software, and Services), Application (Yield Monitoring, Variable-Rate Application, Field Mapping, Soil and Crop Health Monitoring, and More), Farm Size (Small, Medium, and Large Farms), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Precision Farming Market Trends and Insights

GNSS-Enabled Auto-Steering on Large Farms

Adoption of GNSS auto-steering has reached 70% on farms over 1,000 ha versus 52% on midsize holdings, a trend increasingly shaping the precision farming market, aided by John Deere's StarFire 7000 receiver that locks onto more satellite bands for faster convergence. SpaceX Starlink backhauls the guidance data where cellular networks fail, letting operators run autonomous passes throughout the day and night. AGCO's OutRun retrofit kit democratizes steering upgrades for mixed fleets, supporting tractors from rival brands. Labor shortages heighten the value proposition by substituting scarce operators with robotics that maintain perfectly straight rows, suppress overlap, and conserve diesel. Return on investment is amplified through reduced fuel costs and higher field-hour utilization that push machinery farther during tight planting windows.

Rapid Cost Declines in Multispectral/Thermal Drone Sensors

More than 300,000 agricultural drones now treat over 500 million ha worldwide, with DJI's Mavic 3 Multispectral priced below the threshold once reserved for large farms. Farm trials on Montana wheat show 90-95% herbicide savings when spot-spray drones are paired with WEED-IT vision systems. Sensor miniaturization has lowered payload weight, doubling flight endurance while preserving spectral resolution for chlorophyll and canopy moisture readings. Regulatory easing in Brazil and the United States has widened the operational envelope for beyond-visual-line-of-sight flights, accelerating adoption on broad-acre crops. AI-enabled anomaly detection now flags nutrient stress a week sooner than the naked eye, letting growers intervene before yield loss sets in.

Data-Interoperability Gaps Among Mixed-Brand Machinery

Roughly 73% of growers operate tractors, planters, and sprayers from multiple OEMs, creating data silos that handicap end-to-end analytics. The OGC SensorThings API promises a universal wrapper for geospatial and machinery data, yet proprietary file formats and differing CAN bus protocols block seamless flows. AGCO's PTx Trimble venture pledges brand-agnostic steering and data sync, but retrofits on legacy rigs are costly and require dealership expertise. Europe's push for open standards and MQTT transport layers is a positive signal, though adoption lags smaller vendors who fear commoditization. Without convergence, farmers continue to juggle USB sticks and cloud portals, capping the productivity gains that full autonomy could deliver.

Other drivers and restraints analyzed in the detailed report include:

1. Carbon-Credit Schemes Rewarding Variable-Rate Input Cuts
2. Satellite IoT Constellations for Sub-Inch Telemetry
3. Rural Cybersecurity Threats Targeting Farm OT Networks

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Guidance Systems held the leading 37.45% precision farming market share in 2025, sustained by robust GNSS receivers that steer machinery to sub-inch paths under variable terrain. The precision farming market size for Variable-Rate Technology is forecast to grow at a 13.55% CAGR through 2031, driven by rising fertilizer and chemical prices that incentivize targeted application. Drone-based remote sensing leverages cheaper multispectral payloads, with DJI reporting a 67.78% cut in chemical volumes when maps feed prescription sprayers. Robots are gaining traction as venture funding pivots to edge-AI platforms; Four Growers and Bonsai Robotics collectively raised USD 24 million to automate harvesting on 500,000 acres. Satellite IoT rounds out the stack, relaying sensor inputs from fields outside cellular reach so models stay current for autonomy modules.

Edge and cloud analytics work in tandem: edge hardware processes vision streams in real time, while cloud engines crunch seasonal patterns. John Deere's second-generation autonomy stack merges both layers to target full corn and soybean autonomy by decade's end. Farmers increasingly prefer mixed-fleet retrofits over single-brand replacements, a shift AGCO capitalized on with its OutRun kit that omits a high-cost tractor swap. Given these dynamics, technology suppliers who pair open APIs with hardware-agnostic components are best positioned to capture incremental acreage.

Hardware captured 51.20% of the precision farming market in 2025, covering sensors, controllers, drones, and autonomous platforms. Yet, software revenue is climbing at a 13.40% CAGR as edge-AI delivers actionable prescriptions within seconds, even when the network drops. Sensors have shrunk to postage-stamp footprints, letting small farms afford dense soil-moisture grids that feed variable-rate irrigation maps. Displays like John Deere's G5-Plus add Ethernet to pass richer datasets from implements back to the cab. On-board computers integrate GNSS, machine vision, and telemetry onto a single board, slashing latency for autonomy loops.

The precision farming market size for managed services is set to widen as operators lean on third-party partners to patch software and monitor cyber threats in real time. Data analytics suites from CNH and Raven trim herbicide by 77% with AI-directed selective spraying. Satellite backhaul ensures prescriptions sync during fieldwork, a crucial fail-safe for 77% of cropland without 4G. As hardware margins compress, vendors seek recurring revenue through subscriptions that bundle updates, algorithms, and carbon-credit reporting dashboards.

Complete Report Scope:

• By Technology
  • Guidance Systems
    • GNSS / GPS
    • GIS
  • Variable-Rate Technology
    • Variable-Rate Fertilizer
    • Variable-Rate Seeding
    • Variable-Rate Pesticide
  • Remote Sensing
  • Drones and UAVs
  • Robotics and Autonomous Equipment
  • Edge and Cloud Analytics Platforms
  • Other Technologies
• By Component
  • Hardware
    • Sensors and Actuators
    • Controllers and Displays
    • On-board Computing and Connectivity
  • Software
    • Farm-Management SaaS
    • Data Analytics and AI
  • Services
    • Integration and Consulting
    • Managed Services
• By Application
  • Yield Monitoring
  • Variable-Rate Application
  • Field Mapping
  • Soil and Crop Health Monitoring
  • Irrigation Management
  • Crop Scouting
  • Harvest Automation and Logistics
  • Other Applications
• By Farm Size
  • Small Farms (less than 100 ha)
  • Medium Farms (100 - 1,000 ha)
  • Large Farms (greater than 1,000 ha)
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Spain
    • Italy
    • Netherlands
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • Australia
    • South Korea
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Kenya
      • Rest of Africa

Geography Analysis

North America retained 41.15% regional share in 2025, aided by mature GNSS networks, an established dealer ecosystem, and a regulatory environment that recognizes digital records for carbon programs. The market has plateaued in growth rate relative to emerging regions, partly because 2025 farmer sentiment surveys show cautious capital plans amid volatile commodity prices. Nevertheless, active replacement cycles for legacy displays and expansion into full-machine autonomy should preserve the continent's demand floor.

The Asia-Pacific region recorded the fastest growth rate of 13.95% in the precision farming market, propelled by India's smart-ag market, projected to reach USD 886.21 million by 2028, and China's policy mandates around digital agriculture. Government-funded satellite constellations, low-cost drones, and rural broadband investments underpin adoption across smallholder plots. Venture capital flows of more than USD 1.2 billion in 2024 concentrated on automated orchard sprayers and agri-fintech credit scoring that ties input loans to sensor-verified field data. Australia adds incremental acreage with autonomous broad-acre fleets that alleviate chronic labor shortages.

Europe advances steadily under environmental legislation requiring a 50% cut in chemicals by 2030, positioning precision spraying as a compliance lever. Field trials in Germany confirm 10-20% pesticide reductions without yield sacrifice, bolstering farmer confidence. Latin America's adoption pace diverges: Brazil and Argentina slowed tractor purchases by 14% in 2024 due to drought-linked income declines, yet accelerated drone spraying after regulatory relaxation. The Middle East and Africa remain early in the curve; satellite IoT is a lifeline for Sub-Saharan growers where RTK networks stall at 40% coverage, but affordability and skills gaps temper speed.

1. Deere and Company
2. Trimble Inc.
3. AGCO Corporation
4. CNH Industrial N.V.
5. Raven Industries
6. Topcon Positioning Systems
7. Lindsay Corporation
8. TeeJet Technologies
9. DICKEY-john
10. BASF Digital Farming (xarvio)
11. Yara International ASA
12. Climate Corp (Bayer)
13. Hexagon Agriculture
14. CropX Technologies
15. DJI Agriculture
16. Farmers Edge
17. Granular
18. Ag Leader Technology
19. Kubota Smart Agri
20. Sentera

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Surge in GNSS-enabled auto-steering adoption on large farms
  • 4.2.2 Rapid cost declines in multispectral/thermal drone sensors
  • 4.2.3 Government carbon-credit schemes rewarding variable-rate input cuts
  • 4.2.4 Integration of satellite IoT constellations for sub-inch field telemetry
  • 4.2.5 Insurance discounts for farms deploying AI-based risk scoring
  • 4.2.6 Venture funding shift from farm-management SaaS to edge-AI robotics
• 4.3 Market Restraints
  • 4.3.1 Data-interoperability gaps among mixed-brand machinery
  • 4.3.2 Rural cybersecurity threats targeting farm OT networks
  • 4.3.3 Plateauing RTK-network coverage in Sub-Saharan Africa
  • 4.3.4 Farmer resistance to algorithmic decision loss of autonomy
• 4.4 Industry Ecosystem Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Buyers
  • 4.7.2 Bargaining Power of Suppliers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Technology
  • 5.1.1 Guidance Systems
    • 5.1.1.1 GNSS / GPS
    • 5.1.1.2 GIS
  • 5.1.2 Variable-Rate Technology
    • 5.1.2.1 Variable-Rate Fertilizer
    • 5.1.2.2 Variable-Rate Seeding
    • 5.1.2.3 Variable-Rate Pesticide
  • 5.1.3 Remote Sensing
  • 5.1.4 Drones and UAVs
  • 5.1.5 Robotics and Autonomous Equipment
  • 5.1.6 Edge and Cloud Analytics Platforms
  • 5.1.7 Other Technologies
• 5.2 By Component
  • 5.2.1 Hardware
    • 5.2.1.1 Sensors and Actuators
    • 5.2.1.2 Controllers and Displays
    • 5.2.1.3 On-board Computing and Connectivity
  • 5.2.2 Software
    • 5.2.2.1 Farm-Management SaaS
    • 5.2.2.2 Data Analytics and AI
  • 5.2.3 Services
    • 5.2.3.1 Integration and Consulting
    • 5.2.3.2 Managed Services
• 5.3 By Application
  • 5.3.1 Yield Monitoring
  • 5.3.2 Variable-Rate Application
  • 5.3.3 Field Mapping
  • 5.3.4 Soil and Crop Health Monitoring
  • 5.3.5 Irrigation Management
  • 5.3.6 Crop Scouting
  • 5.3.7 Harvest Automation and Logistics
  • 5.3.8 Other Applications
• 5.4 By Farm Size
  • 5.4.1 Small Farms (less than 100 ha)
  • 5.4.2 Medium Farms (100 - 1,000 ha)
  • 5.4.3 Large Farms (greater than 1,000 ha)
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
  • 5.5.3 Europe
    • 5.5.3.1 Germany
    • 5.5.3.2 United Kingdom
    • 5.5.3.3 France
    • 5.5.3.4 Spain
    • 5.5.3.5 Italy
    • 5.5.3.6 Netherlands
    • 5.5.3.7 Rest of Europe
  • 5.5.4 Asia-Pacific
    • 5.5.4.1 China
    • 5.5.4.2 Japan
    • 5.5.4.3 India
    • 5.5.4.4 Australia
    • 5.5.4.5 South Korea
    • 5.5.4.6 Rest of Asia-Pacific
  • 5.5.5 Middle East and Africa
    • 5.5.5.1 Middle East
      • 5.5.5.1.1 Saudi Arabia
      • 5.5.5.1.2 United Arab Emirates
      • 5.5.5.1.3 Turkey
      • 5.5.5.1.4 Rest of Middle East
    • 5.5.5.2 Africa
      • 5.5.5.2.1 South Africa
      • 5.5.5.2.2 Nigeria
      • 5.5.5.2.3 Kenya
      • 5.5.5.2.4 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
  • 6.4.1 Deere and Company
  • 6.4.2 Trimble Inc.
  • 6.4.3 AGCO Corporation
  • 6.4.4 CNH Industrial N.V.
  • 6.4.5 Raven Industries
  • 6.4.6 Topcon Positioning Systems
  • 6.4.7 Lindsay Corporation
  • 6.4.8 TeeJet Technologies
  • 6.4.9 DICKEY-john
  • 6.4.10 BASF Digital Farming (xarvio)
  • 6.4.11 Yara International ASA
  • 6.4.12 Climate Corp (Bayer)
  • 6.4.13 Hexagon Agriculture
  • 6.4.14 CropX Technologies
  • 6.4.15 DJI Agriculture
  • 6.4.16 Farmers Edge
  • 6.4.17 Granular
  • 6.4.18 Ag Leader Technology
  • 6.4.19 Kubota Smart Agri
  • 6.4.20 Sentera

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-Need Assessment