As of May 2026, there are 88 SaaS companies in Connected Agriculture Software. They have combined revenues of $709.9M and employ 6.2K people. They have raised $1.7B and serve 313.8K customers combined.
Connected Agriculture Software encompasses a range of digital solutions designed to enhance agricultural productivity and sustainability through data-driven insights and automation. These platforms typically enable farmers to monitor and manage crop health, soil conditions, and resource usage in real time, using technologies such as IoT sensors, drones, and data analytics tools. The primary use cases include precision farming, livestock management, and supply chain optimization, all aimed at increasing efficiency and reducing waste. Features common to Connected Agriculture Software include remote monitoring capabilities, data visualization dashboards, predictive analytics for yield forecasting, and integration with farm machinery. Users of these systems typically comprise farmers, agronomists, and agricultural managers, as well as businesses in the agritech industry focusing on sustainability and operational efficiency. With the goal of informing decision-making and improving agricultural practices, these tools are vital for modern farming operations, which increasingly rely on technology for success.
Sorting: Highest -> Lowest
Showing 10 of 88 companies ranked by annual revenue.
Beijing, Beijing, China
Developer of an online fresh food aggregator platform designed to connect farmers and restaurants. The company's platform cuts out the middlemen by allowing customers including businesses and restaurants order directly from the farms, enabling framers to sell vegetables directly to restaurants easily.
China
SINO-ECO is a company that provides precision agriculture and digital agriculture data application SaaS services for digital rural areas.
Manno, Italy
Developer of a digital platform designed to manage farm in a simple and intuitive way. The company's platform allows to store data which can range from the personal to the fleet, passing through crops, activities and products used and also providing tools that can support farmers and food supply chain's stakeholders in the management of their companies, enabling farmers to access the data anytime and anywhere.
Auckland, New Zealand
Developer of herd management software designed to optimize and modernize dairy farming. The company's software monitors the behavioral data of cows.
Heerlen, Limburg, Netherlands
CIED is an AgTech company that builds web, mobile, AI, and blockchain-based applications practical for agri-food supply chains to ensure transparency, trust, and fair ownership. The company develops web-based products, cross-platform apps, and software services.
Johannesburg, Gauteng, South Africa
Khula is a smart farming platform that helps farmers trade, fund faster, and grow bigger, with crop contracts and funding integration. It provides software tools for the agriculture and food business sectors, including marketing and trade platforms, as well as procurement platforms and services.
São Paulo, São Paulo, Brazil
Gaivota is a Vertical SaaS to connect and optimize the agribusiness ecosystem.
United States
Welcome to the future of horticulture. At Source.ag we believe that greenhouse agriculture is a proven answer to the climate-resilient production of fresh fruits and vegetables. We’ve developed AI technology to give greenhouse growers the superpowers to produce more fruit and vegetables, with minimum planetary impact. Our solutions: 🪴Source Track helps you to manage more hectares with increased effectiveness by digitizing the greenhouse and giving you a centralized overview. 🪴Source Cultivate offers accurate yield forecasts in just one click, this all-in-one AI cultivation solution is built to improve and simplify yield predictions. 🪴Source Irrigation Control offers a solution for autonomous greenhouse systems. The AI modules execute and ensure target completion for irrigation strategies. Our products form the AI operating system for any greenhouse, supporting the daily operations of any grower, anywhere.
- Must provide real-time data monitoring for crops and livestock - Should include tools for data analysis and visualization to inform decision-making - Must support integration with IoT devices and agricultural machinery - Should offer functionality for resource management, including water, soil, and inputs - Not just a general farm management tool; must specifically focus on connected technology solutions for agriculture - Must enable automation of farming processes to increase efficiency - Should cater to different agricultural sectors, including crops, livestock, and aquaculture
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