Counter-UAS anti-drone systems

Lockheed Martin Global, Northrop Grumman, BAE Systems and DroneShield are among the organizations active in counter-UAS. NATO and the U.S. Department of Defense also coordinate testing, requirements and deployment. Their activity spans sensing, command systems and effectors, so the field includes both system integrators and organizations developing specific detection or defeat capabilities.

Anduril and SkySafe Inc. are notable startups in the available data. Anduril combines sensor fusion and command software with interceptor systems, and has 171 documents in the 24-month window. SkySafe focuses on wireless-signal analysis and airspace intelligence. These profiles point to different opportunities: autonomous physical interception and passive detection or investigation.

National University of Defense Technology, Nanjing University of Aeronautics and Astronautics, and Beihang University are prominent research organizations in the field. Their work includes GNSS spoofing and countermeasures, multi-target tracking, and low-altitude surveillance. Recent studies from other groups also address edge-based response, directed-energy engagement decisions and distributed acoustic-visual early warning.

The recorded data totals $287,488,479 across 308 grants since 2020. This figure is the grant total in the available field data; it should not be treated as a complete measure of commercial investment or total public spending. The funding-round records include unrelated projects, so they do not provide a reliable counter-UAS-specific round total.

Digital Global Systems has the highest listed patent-holder count, with 29 patents. Patent activity fell 40.3% in the latest 12-month comparison, while publication activity rose 20.9%. The difference suggests research output is expanding even as patent activity in the measured period declines; the figures describe activity trends, not the technical quality or deployment of systems.

In October 2026, Defence Science and Technology Group published research on decision modelling for directed-energy engagements. In September 2026, Ondas launched Dronebuster REACH to extend non-kinetic defeat to long range. Other recent research explores edge-assisted digital twins, multi-agent learning and cooperative interception, reflecting a shift toward faster, coordinated response rather than detection alone.

Emerging terms include object recognition (487 documents), object detection (731), signal detection (71) and machine learning (180). Recent work also examines multi-agent reinforcement learning, graph attention for interception task allocation and distributed acoustic-visual threat assessment. Together, these methods target persistent problems in classifying small aircraft, sharing sensor information and assigning responses as targets move.

The main approaches are active radar sensing, passive RF sensing, optical and acoustic sensing, electronic attack, kinetic interception and directed-energy defeat. Sensing methods find, track or classify aircraft; electronic attack interferes with control or navigation; kinetic and directed-energy systems physically or electronically disable targets. The trade-offs include detection conditions, effects on nearby systems, response time and the risks of debris.

Applications include critical infrastructure (1,417 documents), military force protection (439), border and coastal security (590), airport and aviation security (326), and public venues and major events (167). The data shows rising activity for infrastructure, military protection, border security and public venues, while airport and aviation security activity declined in the latest 12-month comparison.