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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 80 companies ranked by annual revenue.

1
The-Climate Corporation

St. Louis, Missouri, United States

The Climate Corporation is a digital agriculture company that examines weather, soil and field data to help farmers determine potential yield-limiting factors in their fields.

Revenue
$206.2M
Customers
3K
Year founded
2006
Funding
$108.8M
Team size
620
Growth
45.82%
2
Robovision

Gent, Flanders, Belgium

Robovision is the adaptive engine for image-to-action AI solutions, specializing in machine vision and automation, focusing on industries such as agriculture and equipment manufacturing.

Revenue
$139.9M
Customers
-
Year founded
2009
Funding
-
Team size
115
Growth
-
3
AEREO

Bengaluru, Karnataka, India

Aereo is a go-to technology partner when it comes to conducting drone surveys and analytics in record time. They have lent their years of expertise to projects such as irrigation planning, urban and rural development, and archaeological surveys.

Revenue
$71M
Customers
-
Year founded
2013
Funding
-
Team size
321
Growth
-
4
Dronedeploy

San Francisco, California, United States

cloud-based aerial data analysis platform

Revenue
$55M
Customers
1K
Year founded
2013
Funding
$91M
Team size
311
Growth
-
5
SINO-ECO

China

SINO-ECO is a company that provides precision agriculture and digital agriculture data application SaaS services for digital rural areas.

Revenue
$44.9M
Customers
-
Year founded
2014
Funding
-
Team size
68
Growth
-
6
Taranis

Westfield, Indiana, United States

Taranis is a leading precision agriculture intelligence platform that uses sophisticated computer vision, data science and deep learning algorithms to effectively monitor fields. Taranis offers a full-stack solution for high precision aerial surveillance imagery to prevent crop yield loss due to insects, crop Farmers lose 30-40% of their yield every season due to crop diseases, insects, and weeds. Our mission: Help growers maximize crop yield, improve productivity, and adopt sustainable practices in order to ensure prosperity, starting in our local communities and for the benefit of the world. Taranis crop intelligence solutions use deep agronomic expertise and the most advanced AI and submillimeter image technologies to do just that. We make an impact for over 100 agribusinesses, thousands of farmers, and in millions of acres around the world, and grow rapidly. Founded in 2015, Taranis raised over $100M from leading VC investors and is being led by a founding team with vast experience in both agriculture and technology.

Revenue
$35.1M
Customers
-
Year founded
-
Funding
-
Team size
234
Growth
-
7
Solinftec

Araçatuba, Sao Paulo, Brazil

Developer of software platform intended to be used for the automation of mobile assets and logistics processes within agricultural aspects. The company's software platform offers climate date, real-time field information regardless of the location of the property, enabling the client to manage crop growth and field activities.

Revenue
$28.8M
Customers
100K
Year founded
2007
Funding
$40M
Team size
794
Growth
26.5%
8
EOS DATA ANALYTICS

Mountain View, California, United States

EOS Data Analytics (EOSDA) is a global provider of AI-powered satellite imagery analytics founded by Dr. Max Polyakov, an international space technology and IT entrepreneur and philanthropist. The company operates worldwide, partnering with governmental, commercial, and scientific organizations. The company provides Earth observation solutions for smart decision-making in agriculture and forestry. EOSDA combines data retrieved from satellite imagery with AI technologies and proprietary algorithms to analyze the state of crops within farms and trees growing in forest stands to drive businesses and implement sustainable practices globally. The EOSDA’s mission is to harness the power of satellite technologies to provide businesses with fast and accurate data-driven decisions.

Revenue
$18.3M
Customers
-
Year founded
2014
Funding
-
Team size
166
Growth
-
9
Hydrosat

Washington, District of Columbia, United States

Hydrosat is a climate tech company that uses thermal imagery from space to provide irrigation and crop management solutions, aiming to help governments preserve water and increase crop yields.

Revenue
$16M
Customers
-
Year founded
2017
Funding
-
Team size
79
Growth
-
10
HEMAV

Sant Joan Despí, Catalonia, Spain

HEMAV is an Agtech platform that offers aerial photography and remote sensing services utilizing artificial intelligence, primarily for precision agriculture, surveying, industrial inspections, and media production. They specialize in developing unique crop prediction models through their SaaS platform LAYERS.

Revenue
$11.1M
Customers
-
Year founded
2012
Funding
-
Team size
68
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