Drone Software Market Size, Share, Growth Analysis, By Solution (System Software, Application Software), By Platform (Defense & Government, Commercial), By Architecture, By Deployment, By Region - Industry Forecast 2025-2032

Global Drone Software Market size was valued at USD 4.62 billion in 2022 and is poised to grow from USD 5.41 billion  in 2023 to USD 19.27 billion by 2031, growing at a CAGR of 17.20% during the forecast period (2024-2031). 

The presence of major players like 3D Robotics, DreamHammer Corporation, ESRI, Unmanned Innovation, Inc., Dronevolt, DroneDeploy, PrecisionHawk, Pix4D SA, makes the market for drone software extremely competitive worldwide. To continue to dominate the market, they employ business tactics like product launches, mergers, partnerships, collaborations, and partnerships. For instance, Sky-Drones Technologies, Ltd. introduced a new Sky-drone Cloud Platform in January 2020. An integrated drone fleet's management, real-time control, mission planning, performance monitoring, and flight analysis are all done using the platform. DroneShield, Ltd. introduced new software dubbed DroneOptID, a camera-based drone monitoring system. DJI updated its drone mapping programme, DJI Maps. A new version of DJI Terra, a drone mapping programme that quickly creates three-dimensional maps from data, was made available. PrecisionHawk and ESRI joined in March 2022, and as a result, sophisticated mapping and spatial analytics software has been created with the integration of PrecisionHawk's market-leading AI into ESRI's ArcGIS. 'Pix4D SA ', 'DJI ', 'Esri ', 'PrecisionHawk, Inc. ', 'DroneDeploy, Inc. ', 'Skydio, Inc. ', 'Skycatch, Inc. ', 'DroneBase, Inc. ', 'Sharper Shape ', 'Kespry ', 'Yuneec, Inc. ', 'Delair ', 'Skyward IO ', 'Measure ', 'senseFly Ltd ', 'Emesent ', 'Altitude Angel ', 'Dreamhammer ', 'ANRA Technologies ', 'Propeller Aerobotics Pty Ltd ', 'Aloft Technologies, Inc. '

Drone manufacturers can now collect and utilise visual and environmental data by using data from sensors mounted to the drone. This data increases accessibility and facilitates operation by enabling autonomous or aided flight. Drones are now commercially available to businesses and individuals as a part of smart mobility services. Drones powered by AI mostly rely on computer vision. Drones can now detect items while in the air and analyse and record data on the ground thanks to this technology. High-performance, onboard image processing using a neural network is how computer vision functions. Machine learning methods are implemented using layered architectures known as neural networks. Drones can recognise, classify, and track objects thanks to neural networks. Companies using AI in drones are Neural, Scale, Skycatch, Applied Aeronautics, and Aerovironment.

By 2050, the UN predicts that there will be a tremendous increase in the global population to 9.7 billion people, leading to a 69% increase in agricultural consumption. The potential for drone growth in agriculture is significant, especially given that the majority of farmers and agricultural businesses deploying drones are big-ag-owned farms that oversee thousands of acres of land. Crop and livestock monitoring, irrigation control, and fertilization are some of the common uses for drones in agriculture. According to DroneFly, drones can apply fertilizer 40 to 60 times faster than humans can.

The North American region is projected to account for the largest share of drone software during the forecast period.