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Precision Farming Software - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)

Published Jul 08, 2025
Length 120 Pages
SKU # MOI20474382

Description

Precision Farming Software Market Analysis

The precision farming market is valued at USD 14.77 billion in 2025 and is forecast to reach USD 26.86 billion by 2030, advancing at a 12.70% CAGR. Satellite IoT constellations, GNSS-guided auto-steering, and AI-enabled autonomous equipment are widening digital farming’s addressable base and translating carbon-credit incentives into tangible return on investment. John Deere’s collaboration with SpaceX for sub-inch telemetry in cellular dead zones, AGCO’s PTx Trimble joint venture for mixed-fleet retrofits, and the USDA’s Climate-Smart Commodities program are reinforcing a technology cycle that rewards variable-rate input optimization. Hardware still dominates spending, yet software and edge-AI analytics are outpacing with double-digit growth, mirroring the industry shift from data collection to real-time decision automation. North America retains the largest regional share, while Asia Pacific delivers the fastest CAGR on the back of India’s smart-ag ecosystem and China’s precision farming policy mandates.

Global Precision Farming Software 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, 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 mdpi.com. 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 38% precision farming market share in 2024, 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 13.90% CAGR through 2030 on 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 52% of the precision farming market in 2024, covering sensors, controllers, drones, and autonomous platforms. Yet, software revenue is climbing at a 13.82% 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.

The Precision Farming Software Market Report is Technology (Guidance Systems, Remote Sensing, and More), Component (Hardware, Software, and Services), Application (Yield Monitoring, Variable-Rate Application, Field Mapping, and More), Farm Size (Small Fams, Medium Farms, and More), and Geography.

Geography Analysis

North America retained 41.70% regional share in 2024, 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.

Asia Pacific posts the fastest 14.22% CAGR, propelled by India’s smart-ag market projected to hit 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 14% in 2024 due to drought-linked incomes yet accelerate 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.

List of Companies Covered in this Report:

  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
Please note: The report will take approximately 2 business days to prepare and deliver.

Table of Contents

120 Pages
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 Value Chain 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
4.8 Assessment of COVID-19 Impact on the Industry
4.9 Investment Analysis
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 Remote Sensing
5.1.3 Variable-Rate Technology
5.1.3.1 Variable-Rate Fertilizer
5.1.3.2 Variable-Rate Seeding
5.1.3.3 Variable-Rate Pesticide
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
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