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ANTI-DRONE MARKET ANALYSIS

Anti-Drone Market, By Component (Hardware and Software), By Platform (Handheld, UAV, and Ground Based), By Geography (North America, Latin America, Europe, Asia Pacific, Middle East & Africa)

  • Published In : May 2024
  • Code : CMI5303
  • Pages :172
  • Formats :
      Excel and PDF
  • Industry : Aerospace and Defense

Anti-Drone Market Size and Trends

The anti-drone market is estimated to be valued at US$ 1.72 billion in 2024 and is expected to reach US$ 8.51 billion by 2031, growing at a compound annual growth rate (CAGR) of 25.7% from 2024 to 2031.

Anti-Drone Market Key Factors

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The anti-drone market is expected to experience positive growth over the next few years. With the rising security threats from unidentified drones and increasing incidences of drone trespassing, the demand for anti-drone system is expected to rise significantly. Many government agencies and private end-users are planning to adopt counter drone technology to safeguard sensitive locations. Furthermore, advancement in AI and jamming technology will also support the market growth during the forecast period. However, spectrum interference issues and lack of coordinated counter-drone standards may impede the growth of the anti-drone market to some extent.

Growth in Commercial Drone Usage

As drones are being used increasingly for commercial purposes like package deliveries, infrastructure inspections, agricultural monitoring, and film making, the need for reliable anti-drone systems is rising. E-commerce giants are actively working towards building drone fleets to deliver packages within cities in under 30 minutes. This could revolutionize last-mile delivery operations and make online shopping even more convenient. However, with increased commercial drone traffic in low-altitude airspace, the risk of possible misuse of these drones for sabotage or surveillance also rises. Key companies need assurances that unauthorized drones cannot interfere with their operations or steal sensitive data. While commercial drones offer a lot of benefits, ensuring safety at large public events, important installations and restricted areas will require monitoring airspace and mitigating threats. As commercial drone delivery takes off in the next few years, the demand for anti-drone defense from large corporations, event organizers and government agencies is likely to grow substantially.

For instance, during the Texas Department of Public Safety Drone eXpo in December 2022, DeTect showcased its DroneWatcher system, capable of wide-area drone surveillance and detection, identifying over 95% of commercially available drones.

/p>Increased Geopolitical Tensions

In the current world order marked by geopolitical conflicts and tensions between nations, proliferation of small drones poses serious challenges for national security. While drone technology progress has been rapid, mitigating rogue drone threats still remains a work in progress for militaries and law enforcement. There have been reported incidents of enemy drones striking nearby bases in ongoing border conflicts. At the same time, terrorist groups are also known to use off-the-shelf drones for surveillance and attacks. The threat landscape is continuously evolving as drone payloads expand to include explosives, chemical, and biological weapons. Furthermore, adversarial nations like North Korea and Iran have boosted their drone arsenal significantly. This has many countries significantly ramping up counter-drone defenses around sensitive military installations, energy infrastructure, borders, and urban centers. Rising geo-political tensions are a major driver as governments spend more on airspace security and related anti-drone technologies like radio-frequency jammers, detector sensors, and interception systems.

For instance, in August 2021, Meteksan Defense introduced an upgraded version of its Kapan counter-drone system at IDEF 2021. This system features the latest Retinar FAR-AD radar for drone detection, along with enhancements to detect vehicles, supported by advanced computer systems and AI algorithms.

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