ReqoData
Agriculture Technology 2026Updated

List of Satellite Imagery Analytics Companies for Agriculture

Comprehensive database of companies providing satellite-based crop monitoring, vegetation index analysis, and yield prediction services for precision agriculture and agribusiness decision-making.

Available Data Fields

Company Name
Headquarters
Satellite Resolution
Crop Analytics Features
Vegetation Indices
AI/ML Capabilities
Coverage Area
Revisit Frequency
API Availability
Weather Integration
Founded Year
Pricing Model

Data Preview

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Company NameHeadquartersKey AnalyticsSatellite Resolution
Planet Labs PBCSan Francisco, CADaily imagery, NDVI, crop classification3m multispectral
EOS Data AnalyticsRedlands, CACrop monitoring, soil moisture, yield prediction1.4m (EOS SAT)
TaranisWestfield, INPest detection, disease identification, crop stressSub-meter aerial + satellite
Regrow AgMinneapolis, MNSoil carbon MRV, regenerative agriculture verificationMulti-source fusion
SatellogicDavidson, NCAsset monitoring, field-level change detection0.7m multispectral

200+ records available for download.

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Satellite Imagery Analytics for Precision Agriculture

The satellite imagery analytics market for agriculture has grown into a sector with over 230 active companies globally, driven by the need for scalable, high-frequency crop monitoring that manual field scouting cannot match. These companies combine multispectral and hyperspectral satellite data with AI-driven analytics to deliver actionable insights on crop health, soil conditions, pest pressure, and yield forecasting.

How Satellite Analytics Transform Farm Management

Modern agricultural satellite analytics go far beyond simple aerial photography. Companies in this space process vegetation indices such as NDVI (Normalized Difference Vegetation Index), NDRE (Normalized Difference Red Edge), and MSAVI to quantify plant vigor, chlorophyll content, and biomass at field scale. When combined with weather data, soil sensors, and agronomic models, these indices enable:

  • Variable-rate application maps for fertilizer and crop protection products
  • Early stress detection weeks before visible symptoms appear
  • Yield estimation at regional and field levels for commodity trading and insurance
  • Irrigation optimization through evapotranspiration and soil moisture modeling

Key Market Segments

Full-stack platform providers
Companies like Planet Labs and EOSDA that operate their own satellite constellations and deliver end-to-end analytics platforms. Planet captures over 25 TB of imagery daily from approximately 200 satellites.
Analytics-first companies
Firms such as Taranis and Regrow Ag that aggregate imagery from multiple satellite sources and layer proprietary AI models for specialized use cases like pest scouting or carbon MRV.
Government and institutional providers
Organizations leveraging Sentinel-2, Landsat, and other public satellite programs to deliver agricultural monitoring tools, often at lower cost points.

Investment and Adoption Trends

The satellite imaging for agriculture market is projected to exceed $1.3 billion by 2034, growing at approximately 8.9% CAGR. The United States leads with 63 satellite-based precision agriculture startups, followed by the United Kingdom (15) and Australia (12). Major agribusiness firms including Syngenta, Cargill, and General Mills have formed partnerships with satellite analytics providers to support precision application and sustainability reporting across their supply chains.

Frequently Asked Questions

Q.What satellite resolution is typically available for crop monitoring?

Most providers in this database offer multispectral imagery ranging from 0.7m to 10m resolution. Companies operating proprietary constellations (such as Planet at 3m or EOS Data Analytics at 1.4m) generally provide higher resolution than those relying on public satellite programs like Sentinel-2 (10m). Our AI crawls current provider specifications at the time of your request.

Q.Can I filter companies by the vegetation indices they support?

Yes. You can specify indices like NDVI, NDRE, MSAVI, EVI, or SAVI in the filter prompt. Our AI will crawl each provider’s current product documentation to verify which indices are actively supported.

Q.How current is the company and product information?

When you request this dataset, our AI crawls the web in real time to collect the latest publicly available information from company websites, press releases, and industry databases. The data reflects what is publicly accessible at the time of your request.

Q.Does this dataset include companies using drone imagery as well?

The primary focus is satellite-based analytics, but several companies in this dataset (such as Taranis and Gamaya) combine satellite imagery with drone-captured data for higher resolution field-level insights. You can filter for satellite-only or combined approaches.

Q.Are pricing details included in the dataset?

Where publicly available, pricing model information (subscription, per-hectare, usage-based, freemium) is included. Many enterprise providers require custom quotes, so the dataset captures the pricing structure rather than exact dollar amounts.