Global Counter-UAS Market, By Technology (2018-2027)

Growth Outlook

• The UAS Market, By Technology (2018-2027) portion of the Global Counter market is on a steady long-term growth path. Segment value stands at roughly USD 2010 Mn in 2026 and is projected to reach USD 2585 Mn by 2027 — a gain of about 29% over the forecast period, translating to a CAGR in the double digits.
• The global counter-UAS market has been gaining significant attention and increasing demand in recent years, primarily due to the growing security threats posed by unmanned aerial systems (UAS). This emerging market serves as a critical defense against the misuse of drones, which have become more accessible and affordable to the general public and pose a serious threat to critical infrastructure, public safety, and national security.
• What the regional split looks like (2026): Electronic System leads, holding roughly 55% of segment value — the single largest regional share. Laser System is the second-largest contributor. Kinetic System make up the remainder, in descending order.
• By 2027, Electronic System alone is expected to reach USD 1410 Mn, with Laser System at USD 790 Mn.

Market Dynamics

The global counter-UAS market has been gaining significant attention and increasing demand in recent years, primarily due to the growing security threats posed by unmanned aerial systems (UAS). This emerging market serves as a critical defense against the misuse of drones, which have become more accessible and affordable to the general public and pose a serious threat to critical infrastructure, public safety, and national security. One of the technologies driving the demand for counter-UAS solutions is radar-based detection. This technology utilizes radio waves to detect and track UAS, providing early warning of potential threats. Radar-based detection systems are highly effective in detecting drones at a long range and in all weather conditions, making them ideal for critical infrastructure and military installations. Another technology that is in high demand in the global counter-UAS market is radiofrequency (RF) jamming. RF jamming systems transmit a high-powered signal to interfere with the communication between the drone and its operator, causing it to lose control and potentially crash. These systems are extremely effective in neutralizing hostile drones and preventing them from carrying out their intended mission. Moreover, the demand for electro-optical/infrared (EO/IR) detection systems is also increasing in the global market.

EO/IR systems use cameras and sensors to detect the visual and thermal signatures of UAS. These systems are particularly useful in urban settings where radar-based detection may encounter challenges due to congestion and interference. With the rapid advancements in drone technology, the demand for advanced counter-UAS solutions is also evolving. Thus, the market is witnessing a surge in demand for artificial intelligence (AI) and machine learning (ML) based systems for UAS detection and mitigation. These technologies enable real-time threat assessment and response, making them a valuable asset in the fight against drone intrusions. The increasing incidents of UAVs being used for malicious activities such as terrorist attacks and smuggling have led to a rise in demand for counter-UAS capabilities by various government agencies and military forces worldwide. This demand is expected to continue to grow in the coming years as the threat of rogue drones becomes more prevalent. In conclusion, the global counter-UAS market is witnessing high demand for technologies such as radar-based detection, RF jamming, EO/IR detection, and AI/ML-based systems. These technologies are critical in protecting critical infrastructure, airspace security, and public safety from the growing threat of unmanned aerial systems.

With the market constantly evolving and new threats emerging, the demand for advanced and effective counter-UAS solutions is expected to remain high in the future.

Research Methodology

Figures reflect Wantstats’ original market research and forecasting models, compiled as part of the Wantstats research archive and published in 2024.