Global and U.S. Anti-drone Detection Systems Market Report, Published by QY Research.

Anti-drone Detection Systems are specialized surveillance and defense platforms designed to identify, track, and assess the threat of unmanned aerial vehicles (UAVs) using radar, RF spectrum analysis, acoustic sensors, electro-optical/infrared cameras, and AI-based signal processing. These systems are increasingly deployed to protect airports, military bases, energy facilities, government buildings, and public event venues against unauthorized or hostile drone activities.

https://www.qyresearch.com/reports/4690370/anti-drone-detection-systems

The global Anti-drone Detection Systems market reached USD 5.4 billion in 2024, growing at a CAGR of 8.2% through 2030, driven by the rapid rise in drone proliferation, concerns over espionage, terrorism, smuggling, and critical infrastructure security.

Key manufacturers

Raytheon (USA)

Northrop Grumman (USA)

L3Harris (USA)

DeTect (USA)

Sierra Nevada Corporation (USA)

Empower Semiconductor (USA)

AeroVironment (USA)

Leonardo (Italy)

Saab (Sweden)

Thales Group (France)

BAE Systems (UK)

Rheinmetall Defence (Germany)

Blighter Surveillance Systems (UK)

Oerlikon Contraves (Switzerland)

Indra Sistemas (Spain)

Xsense Technologies (Singapore)

DroneShield (Australia)

Upstream suppliers include RF component makers, radar module manufacturers, thermal imaging sensor producers, and AI/ML software developers. Core technologies involve machine learning algorithms for drone classification, real-time RF fingerprinting, and sensor fusion for multi-environment deployment.

Downstream demand is led by defense agencies, homeland security, aviation regulators, correctional facilities, and private security firms, seeking scalable, mobile, and networked detection solutions.

Future advancements will integrate automated countermeasure deployment, cloud-based UAV threat databases, swarm detection capabilities, and integration with broader airspace management systems.

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Email: global@qyresearch.com

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