Top Drone Analytics Companies

Global Drone Analytics Market size was valued at USD 15.94 Billion in 2024 and is poised to grow from USD 19.54 Billion in 2025 to USD 99.74 Billion by 2033, growing at a CAGR of 22.6% during the forecast period (2026–2033). 

Some of the leading players in the market are AeroVironment, Inc., Airware, Delta Drone, DroneDeploy, Kespry Inc., and PrecisionHawk. They are always looking ahead to expand their customer base and become competitive. For this, they are taking various strategic initiatives, including collaborations, mergers and acquisitions, partnerships, and new product and technology development. With these measures, they are attempting to enhance their presence in the market and innovate based on evolving security needs. 'AeroVironment Inc. (United States) ', 'AgEagle Aerial Systems Inc. (United States) ', 'Axon Enterprise Inc. (United States) ', 'BAE Systems plc (United Kingdom) ', 'Draganfly Inc. (Canada) ', 'EHang Holdings Ltd. (China) ', 'Elbit Systems Ltd. (Israel) ', 'Hesai Group (China) ', 'Intel Corporation (United States) ', 'Kespry Inc. (United States) ', 'Lockheed Martin Corporation (United States) ', 'Northrop Grumman Corporation (United States) ', 'Parrot SA (France) ', 'Pix4D SA (Switzerland) ', 'PrecisionHawk Inc. (United States) ', 'Raytheon Technologies Corporation (United States) ', 'Samsara Inc. (United States) ', 'Skydio Inc. (United States) ', 'Teledyne Technologies Incorporated (United States) ', 'Thales Group (France)'

Data processing is becoming transformed through applications of AI and machine learning to drone analytics. AI-enabling drones advance predictive ability, automate processing data, and present real-time understanding. AI-enabled drones play a crucial role in industries such as agriculture, construction, and security since analytics based on AI, for example, assist precision agriculture through yield forecasting enhancement, resource allocation maximization, and early warning in crop health disease.

Short-Term: In the near term, artificial intelligence (AI) and machine learning (ML) are rapidly complementing drone analytics to enable automating data harvesting and interpretation. AI-powered applications offer real-time object recognition, anomaly detection, and predictive repair in sectors like agriculture, construction, and defense. Kespry's AI-powered drone analytics platform helps mining and construction businesses create accurate site surveys and asset inspection, improving efficiency and reducing the chances of human errors.

Why is North America Leading Drone Analytics Market in 2024?