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.
Global Precision Farming Market Trends and Insights
Drivers Impact Analysis
| Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| GNSS-enabled auto-steering on large farms | +2.1% | North America & Europe, expanding to Asia Pacific | Medium term (2-4 years) |
| Multispectral/thermal drone sensor cost declines | +1.8% | Global, early adoption in developed markets | Short term (≤2 years) |
| Carbon-credit schemes rewarding variable-rate inputs | +1.5% | Europe, North America, emerging Asia Pacific | Long term (≥4 years) |
| Satellite IoT constellations for sub-inch telemetry | +2.3% | Global, priority in remote regions | Medium term (2-4 years) |
| Insurance discounts tied to AI-based farm risk scores | +1.2% | North America & Europe, pilot programs in Asia | Medium term (2-4 years) |
| Venture funding shift to edge-AI robotics | +1.4% | Global, focused on innovation hubs | Short term (≤2 years) |
| Source: Mordor Intelligence | |||
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.[1]USDA Economic Research Service, “Adoption of Precision Agriculture Technologies,” ers.usda.gov 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.
Carbon-Credit Schemes Rewarding Variable-Rate Input Cuts
The USDA’s USD 3.1 billion Climate-Smart Commodities initiative aims to sequester 60 million tCO₂e through field-level verification of precision practices, strengthening financial incentives across the precision farming market, and paying growers who document fertilizer and fuel savings via sensor logs. Variable-rate technology already reaches 69% penetration in major U.S. corn and soybean farms, a level set to climb as carbon premiums boost breakeven ROI timelines. Europe’s Farm to Fork strategy mandates a 50% cut in chemical use by 2030, effectively forcing adoption of prescription-based spraying regimes. China’s carbon trading platform lets Farmer Professional Cooperatives sell verified emission reductions, creating a direct monetary feedback loop. Legislative clarity provided by the 2024 Rural Prosperity and Food Security Act further unlocks conservation loans earmarked for hardware and software that underpin variable-rate programs.
Satellite IoT Constellations for Sub-Inch Telemetry
Satellite IoT revenues are projected to jump from USD 1.3 billion in 2022 to USD 8.7 billion in 2032, with agriculture tagged as the largest use case. John Deere’s JDLink Boost pipes telematics through Starlink, letting support staff push over-the-air vehicle updates that cut downtime. OneWeb offers low-latency backhaul for fleets in vast Canadian prairies, where 77% of cropland sits outside 4G coverage. Continuous connectivity enables machine-to-machine coordination for swarms of autonomous sprayers working within inches of one another. Economic upside could surpass USD 500 billion in added global farm GDP once reliable links remove the data-outage constraint on autonomy.
Restraints Impact Analysis
| Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Data-interoperability gaps in mixed-brand fleets | -1.6% | Global, acute in mixed-fleet operations | Medium term (2-4 years) |
| Rural cybersecurity threats to farm OT networks | -1.2% | Developed markets with high digitalization | Long term (≥4 years) |
| Plateauing RTK-network coverage in Sub-Saharan Africa | -0.8% | Sub-Saharan Africa, spillover to remote regions | Long term (≥4 years) |
| Farmer resistance to algorithmic decision loss | -0.9% | Global, stronger in traditional communities | Medium term (2-4 years) |
| Source: Mordor Intelligence | |||
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.
Rural Cybersecurity Threats Targeting Farm OT Networks
As planters, pumps, and weather stations join the internet, operational technology becomes a target for ransomware and data theft. The EU’s NIS-2 Directive will add compliance overhead for ag-tech providers; similar guidance is moving through U.S. federal channels. IEC 62443 controls written for manufacturing plants must be mapped to open fields where physical security is low and connectivity is intermittent. Smallholders lack in-house specialists, leaving default passwords and unpatched firmware on solar-powered gateways. Federated-learning pilots show promise by training disease-detection models without exporting raw field data, but they demand computation at the edge that inflates bill-of-materials costs.
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.
Note: Segment shares of all individual segments available upon report purchase
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.
Note: Segment shares of all individual segments available upon report purchase
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.
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
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AGCO Corporation
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Ag Junction Inc
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John Deere
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DICKEY-john Corporation
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TeeJet Technologies
- *Disclaimer: Major Players sorted in no particular order
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.
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.
| 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 |
| 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 |
| Yield Monitoring |
| Variable-Rate Application |
| Field Mapping |
| Soil and Crop Health Monitoring |
| Irrigation Management |
| Crop Scouting |
| Harvest Automation and Logistics |
| Other Applications |
| Small Farms (less than 100 ha) |
| Medium Farms (100 - 1,000 ha) |
| Large Farms (greater than 1,000 ha) |
| 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 | |||
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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