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Top 80 Precision Agriculture Software SaaS Companies in May 2026

As of May 2026, there are 80 SaaS companies in Precision Agriculture Software. They have combined revenues of $773.6M and employ 4K people. They have raised $407.9M and serve 112.1K customers combined.

Precision agriculture software refers to a specialized set of tools designed to enhance farming efficiency through data-driven decision-making. These solutions help farmers monitor and manage their crops by using advanced technologies such as sensors, GPS, and data analytics. The primary use cases include tracking soil health, optimizing resource use (like water and fertilizers), and predicting crop yields to ensure better harvest outcomes. Key features of precision agriculture software often include real-time data collection, visualization tools for analyzing agricultural metrics, and automated workflows that streamline farm management tasks. Typical users of this software range from large-scale farmers to agronomists and agricultural consultants who require precise information for effective farm management and sustainability initiatives.

Companies
80
Revenue
$773.6M
Funding
$407.9M
Employees
4K

Filters

Sorting: Highest -> Lowest

Filters

Top Precision Agriculture Software Companies

Showing 10 of 32 companies ranked by annual revenue.

1
Feanix Biotechnologies

Asheville, North Carolina, United States

Farm Genetics Made Easy - Using DNA and Software

Revenue
$1M
Customers
-
Year founded
2022
Funding
-
Team size
5
Growth
-
2
Dilepix

Rennes, France

Provider of image analysis service intended for farmers, agricultural cooperatives and manufacturers of farm equipment. The company's service helps in receiving real-time alerts when agronomic issues are detected, automating and increasing the capabilities of robots and equipments by using intelligent vision and control algorithms, real-time visual control for agricultural robots and other related services, enabling agricultural industry to access their services for immediate and objective diagnosis of production and analysis reports online.

Revenue
$935.5K
Customers
-
Year founded
2018
Funding
-
Team size
7
Growth
89.69%
3
Mavuno Technologies

Berlin, Berlin, Germany

Agri & FinTech startup empowering African smallholder farmers with satellite imagery and machine learning

Revenue
$880K
Customers
-
Year founded
2021
Funding
-
Team size
8
Growth
-
4
Agcurate

Arnhem, Gelderland, Netherlands

We provide accurate and rich rural agricultural intelligence as a service to agribusiness, agri-finance and governments via our platform and APIs. We use various sources of satellite imagery and power our platform with proprietary machine learning algorithms.

Revenue
$770K
Customers
-
Year founded
2020
Funding
-
Team size
7
Growth
-
5
Agrosignal

Saratov, Saratov, Russia

Developer of a SaaS-based accounting and operational control software created for agricultural work. The company's accounting and operational control software offer sensors for calculation of fuel consumption and productivity for a subscription fee for combines and tractors, its interactive map with outlines of all farm fields over any cartographic sources makes it easy to navigate in the field position relative to the objects of the farm or objects on satellite images and a map of the terrain, and with maximum detail, enabling businesses to plan, control, reduce cost and losses, improve profitability and take decisions.

Revenue
$756.6K
Customers
-
Year founded
2005
Funding
-
Team size
12
Growth
-
6
AgBoost

Norman, Oklahoma, United States

Developer of a genetic testing technology designed to analyze, manage and improve performance and genomics data. The company's technology offers a cloud based platform which processes and streamlines data for selective breeding, health, market value and nutrition management, enabling clients to have a good understanding of genomic information and take stronger market decisions.

Revenue
$687.1K
Customers
-
Year founded
2013
Funding
-
Team size
5
Growth
64.65%
7
CultivateAI

Orlando, Florida, United States

CultivateAI is a leader in Precision Ag innovation. We’ve created a cloud-based, mobile platform that helps you make informed, data-driven decisions with real-time analytics. Our insights are supported by the latest satellite and drone-sensor technology and are designed to help your Ag Operation increase production, manage risk, and maximize profitability. We are a dedicated team of agricultural software engineers and service providers, and our deep understanding of Precision Ag data is backed by over 15 years of success. We have designed and built GIS and site-specific crop management software for small and large Ag operations alike—as well as for our own family farms. We have 4 locations in—Orlando, FL; Des Moines, IA; Indianapolis, IN; and Ft. Collins, CO. Our goal has always been to help you work less, use fewer resources, and grow more.

Revenue
$660K
Customers
-
Year founded
2020
Funding
-
Team size
6
Growth
-
8
Agrikola.AI

Sant Cugat del Vallès, Catalonia, Spain

Chemical-free crop protection. Powered by robotics and AI , driven by purpose.

Revenue
$660K
Customers
-
Year founded
2023
Funding
-
Team size
6
Growth
-
9
Landkind

Tauranga, Bay of Plenty, New Zealand

Landkind is an easy-to-use web & mobile platform empowering growers and packhouses to visualise, manage and optimise orchards. Our map-based platform brings data to life, enabling orchard information to be viewed and shared in a new way.

Revenue
$660K
Customers
-
Year founded
-
Funding
-
Team size
6
Growth
-
10
heliopas.ai GmbH

Karlsruhe, Baden-Württemberg, Germany

heliopas. ai - worldwide agricultural field monitoring!

Revenue
$660K
Customers
-
Year founded
-
Funding
-
Team size
6
Growth
-

Inclusion Criteria

- Must provide data collection and analytics capabilities for monitoring crop health - Should include features for resource management like water, fertilizers, and pesticides - Must offer real-time tracking of agricultural metrics and conditions - Should support integration with GPS technology for precision mapping - Not just a general farm management tool; must specifically address precision agriculture needs