According to a recent report by Grand View Research, Inc., the global anti-drone market is projected to reach a valuation of USD 10.58 billion by 2030, exhibiting a robust compound annual growth rate (CAGR) of 27.2% from 2025 to 2030. This rapid expansion is primarily driven by the widespread adoption of drones across diverse industries, which has simultaneously increased the imperative to safeguard critical infrastructure, military assets, and public spaces from potential threats posed by unauthorized or rogue drones. As a result, the market is witnessing significant innovation in solutions designed to detect, identify, and effectively mitigate drone-related security risks.

The surge in market growth is closely linked to the rising prominence of unmanned aerial vehicles (UAVs), commonly known as drones, which are extensively utilized for both commercial purposes—such as aerial photography, agriculture, and delivery services—and leisure activities globally. This widespread use has consequently led to a sharp increase in public safety concerns and violations, highlighting the urgent need for systems capable of discovering and documenting drones to support effective security management.

Furthermore, the increasing deployment of aerial remote sensing technologies across applications like agriculture, mining, and environmental monitoring has substantially contributed to the demand for anti-drone systems. These systems ensure that drones operate safely and securely within designated areas, preventing unauthorized incursions and potential interference with ongoing operations.

One of the key market trends is the development and adoption of advanced detection and mitigation technologies. These encompass a variety of sophisticated tools including radar systems, radio frequency (RF) detection, electro-optical (EO) and infrared (IR) sensors, as well as acoustic detection methods. Such technologies are engineered to precisely identify, track, and neutralize rogue drones. Moreover, the integration of artificial intelligence (AI) and machine learning (ML) algorithms significantly enhances these systems by improving their ability to distinguish drones from other objects, thereby minimizing false alarms and boosting detection accuracy.

The demand for enhanced security measures aimed at protecting critical infrastructure—such as power plants, airports, and government buildings—and safeguarding high-profile events has become a major factor fueling the adoption of anti-drone technologies. Both government agencies and private organizations recognize the importance of implementing proactive defense strategies to counter the risks posed by unauthorized drone activities, which can include threats like corporate espionage, operational disruptions, and safety hazards.

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FAQ for the Global Anti-drone Market

1. What is the projected size of the global anti-drone market by 2030?

The global anti-drone market is expected to reach USD 10.58 billion by 2030, growing at a CAGR of 27.2% from 2025 to 2030.

2. What are the main factors driving growth in the anti-drone market?

Key growth drivers include:

• Increasing adoption of drones across various industries.

• Rising need to protect critical infrastructure, military assets, and public spaces from drone-related threats.

• Growing demand for innovative drone detection, identification, and mitigation solutions.

3. Which technologies are commonly used in anti-drone systems?

Common technologies include:

• Radar systems

• Radio frequency (RF) detection

• Electro-optical (EO) and infrared (IR) sensors

• Acoustic detection

• Integration of artificial intelligence (AI) and machine learning (ML) for enhanced accuracy.

4. What sectors are driving the demand for anti-drone solutions?

Sectors include:

• Critical infrastructure protection (power plants, airports, government facilities)

• Military and defense

• High-profile public events

• Commercial applications such as agriculture and mining.

5. What challenges does the anti-drone market face?

Challenges include:

• Rapid technological advancements in drone capabilities requiring continuous innovation.

• Ensuring seamless integration with existing security infrastructure.

• Managing privacy and regulatory concerns around drone detection and mitigation.

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