As of May 2026, there are 50 SaaS companies in Drone Analytics Software. They have combined revenues of $334.5M and employ 2.1K people. They have raised $199.6M and serve 208.9K customers combined.
Drone Analytics Software refers to tools and platforms that analyze data gathered from drones to provide actionable insights across various industries. This software typically processes aerial imagery and sensor data to enhance decision-making processes in sectors such as agriculture, construction, mining, and environmental monitoring. Users leverage these insights for tasks such as land surveying, crop health analysis, infrastructure inspection, and more. Key features often include data visualization, 3D mapping, thermal imaging, and object detection, which allow users to interpret complex datasets effectively. The typical buyer personas for drone analytics software include professionals in operational management, data analysis, and engineering, who seek to integrate aerial data into their strategic planning and operational workflows. These solutions cater to organizations looking to enhance efficiency, reduce costs, and improve the accuracy of data-driven decision making.
Sorting: Highest -> Lowest
Showing 10 of 50 companies ranked by annual revenue.
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.
Boston, Massachusetts, United States
A software-first aerospace and defense company that deploys predictive AI to enhance operations in complex air environments. They serve critical industries including the U.S. Government and its allies, assisting in predicting, simulating, and optimizing operations.
Minhang, Shanghai, China
Provider of cloud-based industrial data analytics platform designed to offer data collection and data visualization services. The company's cloud-based industrial data analytics platform uses cloud-driven machine learned algorithms that focus on commercial drone real-time data collection and cloud-based instant data analytics and processing, enabling enterprises to acquire data, video and images through the platform.
Humacao, Puerto Rico
Red Cat is a leading provider of secure blockchain-based distributed storage, analytics and SaaS for the drone industry. Through its innovative solutions and leadership, Red Cat provides solutions for regulators to track and review flight data, insurance companies to insure drones, and pilots needed to become compliant with regulators. Red Cat's success is driven by a commitment to deliver unrivaled innovation that makes drones trackable, accountable and the sky a safer place.
Munich, Germany
OCELL is a Munich-based green-tech startup that develops local, high-quality climate projects that are transparent, measurable, and effective. By combining aerial photographs, terrestrial data, and AI, the company creates digital replicas of forests—known as 'digital twins'—to monitor and optimise their ecological performance.
Prilly, Switzerland
Provider of 3D mapping software that converts standard pictures into geo-referenced images. The company offers a technology which combines numerous aerial images from mobile cameras and creates 2D and 3D environment models that can be used in urban planning or surveying vast areas for environment monitoring purposes.
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.
United States
Dimitra.io is a global leader in agriculture technology. Our mission is to apply advanced technology and provide actionable data so farmers and governments can enrich economies through increased crop yields and healthier livestock. The Dimitra agriculture platform incorporates inputs from mobile app, sensors, satellite, and DNA tests. Machine learning is then applied to transform complex data into practical and actionable recommendations so farmers can increase yield, reduce cost, and mitigate risk. We believe that every small holder farmer, regardless of economic standing, should benefit from beautiful, simple and use technology. Because when farmers thrive, entire economies thrive!
Moorpark, California, United States
Developer of open source infrastructures designed for autonomous robots. The company's technology supports the PX4 community through testing and certification, analytic tools in addition to access to a global ecosystem for drone development, providing the commercial drone industry with access to the tools and technology to reduce risks, improve safety and increase speed to market.
- Must provide tools for analyzing aerial data captured by drones - Should include features for data visualization, such as dashboards and reporting tools - Must facilitate the creation of 3D maps and models from drone imagery - Should support specific use cases in industries like agriculture, construction, or environmental monitoring - Not just limited to data collection; must also offer analytical capabilities to derive insights from the data - Must integrate with other data management or GIS (Geographic Information Systems) solutions.
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