PUBLISHER: Roots Analysis | PRODUCT CODE: 1752113
PUBLISHER: Roots Analysis | PRODUCT CODE: 1752113
As per Roots Analysis, the global anti-drone market size is estimated to grow from USD 2.70 billion in the current year to USD 33.97 billion by 2035, at a CAGR of 28.83% during the forecast period, till 2035.
The opportunity for anti-drone market has been distributed across the following segments:
Type of Anti-Drone
Type of Component
Type of Application
Type of Technology
End-Users
Geographical Regions
The affordable and readily available drone, valued for its dependability across multiple industries, is increasingly posing a challenge for security. These drones are being hacked by attackers, leading to breaches in security and the exploitation of sensitive information. Anti-drone technologies are capable of distinguishing between drones and other aerial entities, enabling them to make informed decisions about which targets to eliminate. Significant benefits of these systems include improved information gathering regarding the detected drone. Additionally, the anti-drone sector provides a range of advanced offerings, such as ground-based, handheld, and UAV-based systems.
The integration of artificial intelligence (AI) and machine learning has been crucial in increasing the demand for anti-drone systems in security, facilitating faster detection and swifter responses. Moreover, cutting-edge features like thermal imaging allow for seamless surveillance in any weather condition, while RF scanners enable the identification of connections between drones and their operators.
Over the projected timeframe, the global demand for anti-drone systems is expected to rise substantially, driven by the development of advanced defensive technologies such as anti-drone radars and thermal imaging solutions. Importantly, the incorporation of AI into various counter-UAV strategies for improved mitigation tactics and precision will propel the market in the foreseen future.
Based on type of anti-drone, the global anti-drone market is segmented into ground based, handheld and UAV based. According to our estimates, currently, ground-based segment captures the majority of the market. This can be attributed to its quick response capabilities and extensive coverage area, which make it particularly suitable for the defense industry.
On the other hand, the UAV-based segment is anticipated to grow at a relatively higher compound annual growth rate (CAGR) during the forecast period. This growth can be linked to its unique features for searching, detecting, tracking, and neutralizing drones in real-time. Additionally, the ability to retrieve object information and display the RF spectrum on a graphical user interface (GUI) has further propelled the development of UAVs and their influence on security issues.
Based on type of component, the global anti-drone market is segmented into hardware and software. According to our estimates, currently, hardware segment captures the majority of the market. This is attributed to the rapid advancement of components like radar sensors, infrared systems, and jammers. Additionally, the ability to fulfill demanding performance standards while offering scalability, flexibility, and improved solutions for defense and law enforcement applications drives the performance of anti-drone technology.
Conversely, the software segment is projected to experience the highest growth rate throughout the forecast period. Factors such as the increasing incorporation of artificial intelligence in anti-drone systems and the use of machine learning to improve the mitigation of drone threats are key drivers for this growth.
Based on type of application, the global anti-drone market is segmented into acoustic, detection radar, EO / IR and others. According to our estimates, currently, detection radar segment captures the majority of the market. Moreover, this segment is anticipated to experience the highest compound annual growth rate (CAGR) during the forecast period. This growth can be attributed to its effectiveness in neutralizing drones following detection, classification, and identification. Additionally, the system is capable of detecting any drone's entry or exit within a facility.
Based on type of technology, the global anti-drone market is segmented into anti-drone radar, RF scan, thermal image and others. According to our estimates, currently, anti-drone radar segment captures the majority of the market. This can be attributed to its ability to accurately differentiate between drones and other aerial objects. Additionally, the incorporation of AI has enhanced the ability to mitigate drone threats and has influenced emerging trends in counter-UAV technologies.
However, thermal imaging segment is anticipated to grow at a relatively higher CAGR during the forecast period.
Based on end users, the global anti-drone market is segmented into commercial, defense and military, government and others. According to our estimates, currently, defense and military segment captures the majority of the market. Additionally, this segment is anticipated to experience a comparatively higher CAGR during the forecast period. This can be attributed to the heightened security requirements met by anti-drone systems. These systems are designed to detect and neutralize drones under any weather conditions, and their precision has further enhanced the adoption of anti-drones in the defense and military sectors.
Based on geographical regions, the anti-drone market is segmented into North America, Europe, Asia, Latin America, Middle East and North Africa, and the rest of the world. According to our estimates, currently, North America captures the majority share of the market, owing to the substantial military expenditure and ongoing advancements in defensive capabilities within this region.
However, the market in Asia is expected to grow at a relatively higher CAGR during the forecast period, driven by increasing demand for anti-drone solutions in military applications and airports in emerging economies like India, China, and Japan.
The report on the anti-drone market features insights on various sections, including:
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