Precision Farming Market Size and Share

Precision Farming Market (2025 - 2030)
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Precision Farming Market Analysis by Mordor Intelligence

The Precision Farming Market size is estimated at USD 14.77 billion in 2025, and is expected to reach USD 26.86 billion by 2030, at a CAGR of 12.70% during the forecast period (2025-2030).

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. 

Key Report Takeaways

  • By technology, Guidance Systems led with 38% of precision farming market share in 2024, whereas Variable-Rate Technology is set to rise at a 13.90% CAGR through 2030. 
  • By component, Hardware accounted for 52% of the precision farming market size in 2024, while Software is expected to advance at a 13.82% CAGR to 2030. 
  • By application, Yield Monitoring held 29.40% of precision farming market share in 2024; Drones-based Scouting is projected to expand at a 13.12% CAGR to 2030. 
  • By farm size, Large Farms (>1,000 ha) commanded 55% share of the precision farming market in 2024, yet Small Farms (<100 ha) exhibit the highest projected CAGR at 13.20% through 2030. 
  • By geography, North America captured 41.70% of the precision farming market share in 2024; the Asia Pacific is forecast to accelerate at a 14.22% CAGR between 2025-2030.

Segment Analysis

By Technology: Autonomous Systems Drive Market Evolution

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.[2]Global AgTech Initiative, “Variable-Rate Technology Adoption,” globalagtechinitiative.com The precision farming market size for Variable-Rate Technology is forecast to grow at a 13.90% CAGR through 2030, 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.

Precision Farming Market: Market Share by Technology
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By Component: Software Acceleration Transforms Hardware Dominance

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. 

By Application: Precision Spraying Redefines Crop Management

Yield Monitoring remains the backbone, supplying the spatial variability data that trains every prescription; it accounted for 29.40% precision farming market share in 2024. Drones-based Scouting is accelerating at 13.12% CAGR thanks to AI models that spot nutrient stress early, prompting micro-dosed foliar sprays instead of blanket treatments. Variable-Rate Application outperforms blanket spreading with documented savings of USD 40.74 per acre and fertilizer cuts up to 66% using John Deere’s ExactShot system. Soil and Crop Health Monitoring weaves IoT probes with satellite data, letting analytics warn of disease onset several days earlier than conventional scouting.

The precision farming market size for harvest automation is set to rise as John Deere’s S7 combine automates grain-loss settings and groundspeed, improving throughput by 20%. Irrigation Management platforms like Verdi balance water and nutrient delivery, a capability vital for drought-prone regions where every millimeter of rainfall counts. Downstream logistics gain from autonomous grain carts that sync location and fill-level data to the combine, minimizing idle time. As sustainability metrics grow stringent, compliance modules now sit alongside agronomic tools, allowing carbon verification to happen in-season rather than post-harvest. 

Precision Farming Market: Market Share by Application
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By Farm Size: Small Farm Digitalization Accelerates

Large farms over 1,000 ha held 55% of the precision farming market in 2024, leveraging bigger capital pools and dedicated agronomy staff. Small farms under 100 ha clock the highest 13.20% CAGR as low-cost IoT kits, satellite backhaul, and government grants lower entry barriers. The precision farming market size for smallholders is set to widen under India’s INR 450 crore (USD 5.12 million) Digital Agriculture Mission, which subsidizes sensors and cloud dashboards. Medium farms span 100-1,000 ha and show 52% adoption, catalyzed by retrofit kits that avoid full machinery turnover.

UNDP frameworks now bundle mobile apps in local languages, cloud analytics, and remote sensing so smallholders bypass upfront server costs. Large farms face growing scrutiny on emissions, pushing them to quantify every input through digital twins for ESG reporting. Medium operations find equilibrium by deploying core guidance and variable-rate modules without venturing into fully autonomous fleets. Despite differing paces, convergence is clear: equipment that once demanded high CapEx is now available via subscription, closing the digital divide between farm sizes.

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.

The Asia-Pacific region recorded the fastest growth rate of 14.22% 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.[3]Bio Web of Conferences, “Precision Agriculture Efficiency in Europe,” bio-conferences.org 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.

Precision Farming Market CAGR (%), Growth Rate by Region
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Competitive Landscape

Industry structure is consolidating. AGCO paid USD 2 billion for 85% of Trimble’s agriculture division, forming PTx Trimble with a goal to surpass USD 2 billion precision revenue by 2028. John Deere extends leadership through SpaceX connectivity, an expanded 2025 product line, and its second-generation autonomy stack that integrates vision, AI, and remote diagnostics.[4]AgWeb, “John Deere S7 Combine Launch,” agweb.com CNH absorbs Raven Industries to embed real-time machine learning into Case and New Holland fleets, while DJI keeps a global drone share that exceeds every Western peer combined.

Strategic playbooks emphasize open APIs, cross-brand retrofits, and as-a-service pricing to win mixed-fleet hectares. Edge-AI firms such as Four Growers and Bonsai Robotics target narrow tasks—greenhouse harvesting and row-crop perception—yet their success forces majors to speed internal R&D or partner. Venture funding tilts away from pure farm-management SaaS toward autonomy modules that work offline, reflecting investor appetite for tangible productivity leaps.

Competitive intensity is not siloed to technology; downstream agribusinesses bundle input financing with sensor installations, creating lock-in. At the same time, cooperatives in Europe and Asia contract shared fleets of autonomous sprayers, adding a service layer that bypasses hardware ownership. Patents around machine vision and variable-rate application will shape royalty flows, making intellectual property a frontline battlefield.

Precision Farming Industry Leaders

  1. AGCO Corporation

  2. Ag Junction Inc

  3. John Deere

  4. DICKEY-john Corporation

  5. TeeJet Technologies

  6. *Disclaimer: Major Players sorted in no particular order
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Recent Industry Developments

  • February 2025: AGCO closes USD 2 billion deal for 85% of Trimble’s ag unit, birthing PTx Trimble to fast-track retrofit autonomy solutions.
  • February 2025: John Deere releases 2025 S7 combine with predictive automation, revamped 9RX tractors, and Hagie sprayers equipped with See & Spray Premium weed targeting.
  • January 2025: John Deere unveils its second-generation autonomy stack with longer perception range and mobile app control.

Table of Contents for Precision Farming Industry Report

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
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Global Precision Farming Market Report Scope

Precision farming (PF) is the approach of farm management that brings in information technology IT to ensure that the crops and soil get what they need for health and productivity. The goal of PA is to guarantee profitability, sustainability, and protection of the environment. PA is also recognized as satellite agriculture, as-needed farming, and site-specific crop management (SSCM). 

The precision agriculture market is segmented by technology (guidance systems, remote sensing, variable-rate technology, drones, and UAVs), component (hardware, software, services), application (yield monitoring, variable rate application, field mapping, soil monitoring, crop scouting), and geography (North America (United States, Canada), Europe (Germany, United Kingdom, France, Rest of Europe), Asia-Pacific (China, Japan, India, Australia, Rest of the Asia-Pacific), Latin America, Middle East & Africa). The market sizes and forecasts are provided in terms of value (USD) for all the above segments. 

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
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
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Key Questions Answered in the Report

What is the global value of precision farming in 2025?

Precision farming is valued at USD 14.77 billion in 2025.

How much growth is expected for precision farming by 2030?

The segment is projected to reach USD 26.86 billion in 2030, reflecting a 12.70% CAGR.

Which region is adopting precision farming solutions the fastest?

Asia Pacific leads in growth with a 14.22% CAGR from 2025 to 2030.

Which technology area is expanding the quickest within precision farming?

Variable-Rate Technology is advancing at a 13.90% CAGR through 2030 as growers target input optimization.

How do carbon-credit incentives encourage the uptake of precision farming tools?

Government programs pay growers for verifiable fertilizer and chemical cuts, making variable-rate applications more profitable and accelerating adoption.

Why is satellite IoT connectivity critical for precision farming deployments?

Satellite links serve 77% of cropland that lacks reliable cellular coverage, ensuring continuous data flow for autonomous equipment and analytics.

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