Anti-Drone Market is Estimated to Witness High Growth Owing to Advancements in Drone Detection Technologies
The anti-drone market involves systems and solutions that are used to detect and neutralize unauthorized or hostile drones. Anti-drone systems use technologies such as radar, RF sensing, electro-optical/infrared (EO/IR) sensors and acoustic sensors to detect rogue drones. Upon detection, the systems use technologies such as directed energy weapons (DEW), interceptors, signal jamming and signal disruption to neutralize drones. Advancing detection and identification capabilities as well as new countermeasure technologies are expected to drive growth of anti-drone defenses.
The Global Anti-Drone Market is estimated to be valued at US$ 1720.13 Bn in 2024 and is expected to exhibit a CAGR of 25.7% over the forecast period 2024 to 2031.
Key Takeaways
Key players operating in the anti-drone market are IBM Corp. (TRIRIGA), Figbytes Inc., Schneider Electric, Gensuite LLC, SAP SE, Envizi, ICONICS, Inc., Ecova, Inc. Urjanet, Verisae, Inc., Thinkstep, UL EHS Sustainability, Enablon, Sphera, CA Technologies, and Accuvio. Some of the key players like IBM Corp. and Figbytes Inc. provide drone detection and identification solutions while others like Schneider Electric provide total anti-drone defense solutions.
The Anti-Drone Market Demand instances of unauthorized drone usage near airports, national borders and restricted areas is one of the key opportunities in the anti-drone market. Modern detection and countermeasure technologies can help secure restricted airspaces from rogue drones. Furthermore, increasing spending on defense and homeland security along with rising need for critical infrastructure protection is also expected to boost demand for anti-drone systems.
Technological advancements like increased detection ranges of RF sensing solutions, integration of AI/ML for drone fingerprinting and identification, as well as new directed energy weapons with higher output are expected to further strengthen anti-drone defenses over the forecast period.
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