Precision Agriculture Report
: Analysis on the Market, Trends, and TechnologiesThe precision agriculture sector is transitioning from tool-driven pilots to platform-led deployment, anchored by an internal trend estimate of USD 7.0 billion (2022) with a company-level forecast of USD 18.0 billion by 2030 (12.5% CAGR), signaling commercial scale-up of sensor networks, decision platforms, and autonomous actuators. External market forecasts cluster between USD 20–25 billion by the early 2030s, reinforcing that capital flows, policy incentives, and sensor/AI cost declines now make measurable per-hectare ROI achievable for mid-to-large farms.
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Topic Dominance Index of Precision Agriculture
The Dominance Index for Precision Agriculture merges timelines of published articles, newly founded companies, and global search data to provide a comprehensive perspective into the topic.
Key Activities and Applications
- Variable-rate input application (fertilizer, seed, pesticides) — site prescriptions generated from integrated sensor, soil and imagery layers reduce input volume while targeting yield gaps MarketResearchFuture.
- Real-time crop monitoring and early pest/disease detection — multispectral drone and satellite imagery plus on-vehicle cameras feed classifiers that flag stress before yield loss Taranis.
- Precision irrigation and water management — soil probes and VRI (variable rate irrigation) software schedule zone-level delivery and conserve water 20–50% versus conventional schedules MarketDataForecast APAC.
- Autonomous field operations (weeding, spraying, selective harvesting) — ground robots and drone fleets carry out targeted interventions that address labor shortages and reduce chemical usage XAG.
- Soil health mapping and rapid field diagnostics — in-situ and portable sensors produce nutrient, pH and carbon-proxy maps to enable site-specific management and carbon reporting.
Emergent Trends and Core Insights
- Platform consolidation: data integration and farm-level orchestration are the premium capabilities buyers pay for; platforms that ingest telemetry, imagery and machine data will capture service margins and recurring revenue.
- AI as operational control: machine-learning moves from analytics to closed-loop control (spot spraying, per-plant dosing, autonomous path planning), shifting value from hardware to models and labeled data assets Greeneye Technology.
- Edge-first architectures: farms with limited connectivity adopt edge inference and local RTK/PPK correction to achieve sub-decimeter actuation latency and continue operations offline.
- Service economics (RaaS / Sensor-as-a-Service): subscription and service models lower entry cost for smallholders and convert one-time hardware purchases into annuity streams for providers Allied Market Research.
- Carbon and compliance stacking: soil carbon mapping, traceability, and documented input reductions create premium routes (supply-chain payments, credits); remote sensing plus soil probes enable credible measurement at scale.
Technologies and Methodologies
- GNSS + RTK/Virtual-RTK correction services for centimeter positioning — required for singulation, VRT, and autonomous navigation Point One Navigation.
- Multispectral/hyperspectral remote sensing (UAV and small-sat) integrated with ML pipelines for disease, nutrition and water-stress detection Agrowing.
- Low-power, long-life soil sensor networks and buried platforms for continuous root-zone monitoring and irrigation control.
- Computer vision and edge AI on mobile platforms for per-plant scouting and decisioning (smartphone and vehicle-mounted cameras) Bloomfield.
- Robotics and autonomy stacks combining LiDAR/vision/IMU + path-optimization for coordinated coverage and selective harvesting/weeding EXXACT Robotics.
Precision Agriculture Funding
A total of 650 Precision Agriculture companies have received funding.
Overall, Precision Agriculture companies have raised $14.6B.
Companies within the Precision Agriculture domain have secured capital from 2.4K funding rounds.
The chart shows the funding trendline of Precision Agriculture companies over the last 5 years
Precision Agriculture Companies
- ChrysaLabs — ChrysaLabs offers a portable, rapid soil-probe that returns laboratory-comparable nutrient and pH readings in seconds and connects results to a cloud management portal; the product converts slow, episodic soil testing into high-density, time-aligned maps that directly feed VRT prescriptions and carbon accounting workflows.
- Soil Scout — Soil Scout deploys buried wireless sensors with multi-year battery life to report moisture, EC and temperature from below the root zone; its value proposition is continuous underground telemetry for irrigation optimization and field-scale digital twins that reduce water and energy use by up to 50% in customer projects.
- Spacenus GmbH — Spacenus combines frequent satellite imagery with AI to deliver plant-need nitrogen prescriptions and scalable soil organic carbon mapping; the company targets supply-chain buyers who need verifiable sustainability metrics without full-scale field instrumentation.
- moray.ai — moray.ai couples swarm-enabled drones and ground robots with agronomic digital twins to optimize per-plant weeding, pest control, and nutrition at scale; the stack emphasizes coordinated fleet scheduling and per-plant prescriptions to reduce chemical use and labor cost across large, heterogeneous fields.
Delve into the corporate landscape of Precision Agriculture with TrendFeedr’s Companies tool
3.6K Precision Agriculture Companies
Discover Precision Agriculture Companies, their Funding, Manpower, Revenues, Stages, and much more
Precision Agriculture Investors
TrendFeedr’s Investors tool provides insights into 2.2K Precision Agriculture investors for you to keep ahead of the curve. This resource is critical for analyzing investment activities, funding trends, and market potential within the Precision Agriculture industry.
2.2K Precision Agriculture Investors
Discover Precision Agriculture Investors, Funding Rounds, Invested Amounts, and Funding Growth
Precision Agriculture News
TrendFeedr’s News feature offers you access to 5.6K articles on Precision Agriculture. Stay informed about the latest trends, technologies, and market shifts to enhance your strategic planning and decision-making.
5.6K Precision Agriculture News Articles
Discover Latest Precision Agriculture Articles, News Magnitude, Publication Propagation, Yearly Growth, and Strongest Publications
Executive Summary
Precision agriculture has reached an inflection where integrated data platforms, AI models, and autonomous actuators together create measurable farm-level ROI. Multiple independent forecasts converge on a market worth roughly USD 20–25 billion within the next decade, validating investment in three areas that determine commercial leadership: (1) reliable, low-cost sensing (soil, plant, positioning), (2) ML-driven decision models that convert raw telemetry into prescriptive actions, and (3) flexible service models that lower adoption barriers for mid-sized and smaller farms. For business leaders: prioritize interoperable data APIs, commercialize analytics as recurring services, and partner with positioning and fleet-control specialists to deliver guaranteed agronomic outcomes; those moves will separate providers that capture long-term annuities from those selling one-off hardware.
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