The global anti-drone market is anticipated to grow from USD 4.48 billion in 2025 to USD 14.51 billion by 2030 at a CAGR of 26.5% during the forecast period. The market is driven by rising security concerns over unauthorized and potentially hostile drone activities targeting critical infrastructure, military sites, and public spaces. Increasing incidents of drone-related threats, such as smuggling, espionage, and attacks, have intensified the need for effective detection and mitigation solutions. Advances in AI, multi-sensor technologies, and directed energy weapons enhance system capabilities, further fuelling market growth. Additionally, stricter government regulations and growing drone adoption across commercial sectors boost the demand for reliable counter-drone measures.
Scope of the Report
Years Considered for the Study
2020-2030
Base Year
2024
Forecast Period
2025-2030
Units Considered
Value (USD Billion)
Segments
By System Type, Platform Type, Application, Vertical, Range, Radar Type, Radar Deployment Type, Radar Frequency Band, and Region
Regions covered
North America, Europe, APAC, RoW
"Active electronically scanned array (AESA) radar type segment captured the largest market share in 2024."
By radar type, the active electronically scanned array (AESA) segment accounted for the largest share of the anti-drone market in 2024 due to its superior performance, versatility, and resilience in complex operational environments. Unlike traditional radar systems, AESA radars employ multiple transmit/receive modules that enable electronic beam steering without moving parts, resulting in faster scanning, reduced maintenance, and enhanced reliability. This capability allows simultaneous multi-target tracking and rapid adaptation to dynamic threats, making them particularly effective against agile and low radar cross-section drones.
"UAV-based segment is projected to witness the highest CAGR in the anti-drone market between 2025 and 2030."
The UAV-based segment is expected to exhibit the highest CAGR during the forecast period due to its exceptional mobility and flexibility. It allows it to operate effectively in diverse and hard-to-reach environments where ground-based systems may face limitations. These systems can quickly respond to emerging threats and cover large areas, making them ideal for dynamic security scenarios, such as protecting military operations or crowded urban spaces. Their ability to carry advanced detection and neutralization technologies, including directed energy weapons and kinetic interceptors, enhances their effectiveness against sophisticated drone threats, including swarms and autonomous UAVs. Furthermore, the integration of AI and machine learning enables real-time threat analysis and autonomous responses, improving operational efficiency.
"India is expected to exhibit the highest CAGR in the global anti-drone market during the forecast period."
India is likely to exhibit the highest CAGR in the global anti-drone market during the forecast period due to escalating security concerns, increased defense modernization efforts, and strong regulatory support. Growing threats from unauthorized drone activities targeting critical infrastructure and border areas have driven the government to invest heavily in advanced counter-drone technologies. The integration of AI, multi-sensor fusion, and real-time threat analysis has enhanced the effectiveness of these systems, making them more attractive for military and civilian use. Additionally, initiatives such as the DigitalSky platform provide a regulatory framework that encourages the safe deployment of drones while emphasizing the need for robust countermeasures. Domestic companies, such as Indrajaal, are developing innovative AI-driven solutions tailored to India's unique security challenges, further fueling market growth. These factors collectively position the country as a rapidly expanding market and a key player in the global anti-drone industry.
Extensive primary interviews were conducted with key industry experts in the anti-drone market space to determine and verify the market size for various segments and subsegments gathered through secondary research. The breakdown of primary participants for the report has been shown below:
The study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:
By Company Type: Tier 1 - 35%, Tier 2 - 45%, and Tier 3 - 20%
By Designation: C-level - 40%, Directors - 30%, and Others - 30%
By Region: Americas - 30%, Europe - 40%, Asia Pacific - 25%, and RoW - 5%
RTX (US), Rafael Advanced Defense Systems (Israel), IAI (Israel), Leonardo S.p.A. (Italy), Lockheed Martin Corporation (US), Thales (France), Saab (Sweden), DroneShield Ltd (Australia), and Dedrone (US) are some key players in the anti-drone market.
Research Coverage: This research report categorizes the anti-drone market based on system type (kinetic systems, laser systems, electronic systems, hybrid systems), application (detection, detection & disruption), vertical (commercial, military & defense, and homeland security), platform type (ground-based, handheld, UAV-based), range [short-range (<2 Km), medium-range (2-5 Km), long-range (>5 Km)], radar type [mechanically scanned array, phased array, passive electronically scanned array (PESA), active electronically scanned array (AESA), conventional radar], radar frequency band (KU-band, X-band, C-band, S-band, L-band, other frequency bands), radar deployment type (portable radar, fixed radar, vehicle-mounted radar), and region (Americas, Europe, Asia Pacific, and RoW). The report describes the major drivers, restraints, challenges, and opportunities pertaining to the anti-drone market and forecasts the same till 2030. Apart from this, the report also consists of leadership mapping and analysis of all the companies included in the anti-drone ecosystem.
Key Benefits of Buying the Report The report will help the market leaders/new entrants in this market by providing information on the closest approximations of the revenue numbers for the overall anti-drone market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities. The report provides insights on the following pointers:
Analysis of key drivers (rising adoption of anti-drone solutions by military and defense agencies, rising illicit activities, increasing frequency of unauthorized unmanned aircraft system (UAS) sightings near international airports, advancements in detection and jamming technologies), restraints (substantial upfront capital required for deploying anti-drone systems, operational complexity and false positives in drone detection, diverse and complex regulatory landscape across regions and countries), opportunities (integration of AI and ML in drone detection and tracking, expanding infrastructure in smart cities, ongoing advancements in anti-drone technology), and challenges (vulnerability to hacking, integration with existing security and surveillance ecosystems) influencing the growth of the anti-drone market
Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the anti-drone market
Market Development: Comprehensive information about lucrative markets - the report analyzes the anti-drone market across varied regions
Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the anti-drone market
Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players, such RTX (US), Rafael Advanced Defense Systems (Israel), IAI (Israel), Leonardo S.p.A. (Italy), Lockheed Martin Corporation (US), Thales (France), Saab (Sweden), DroneShield Ltd (Australia), and Dedrone (US), in the anti-drone market
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED AND REGIONAL SCOPE
1.3.2 INCLUSIONS AND EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 UNIT CONSIDERED
1.6 LIMITATIONS
1.7 STAKEHOLDERS
1.8 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 List of key secondary sources
2.1.1.2 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 List of primary interview participants
2.1.2.2 Breakdown of primaries
2.1.2.3 Key data from primary sources
2.1.2.4 Key industry insights
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Approach to arrive at market size using bottom-up analysis (demand side)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach to arrive at market size using top-down analysis (supply side)
2.3 FACTOR ANALYSIS
2.4 MARKET BREAKDOWN AND DATA TRIANGULATION
2.5 RESEARCH ASSUMPTIONS
2.6 RESEARCH LIMITATIONS
2.7 RISK ANALYSIS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN ANTI-DRONE MARKET
4.2 ANTI-DRONE MARKET, BY SYSTEM TYPE
4.3 ANTI-DRONE MARKET, BY PLATFORM TYPE
4.4 ANTI-DRONE MARKET, BY VERTICAL
4.5 ANTI-DRONE MARKET, BY APPLICATION
4.6 ANTI-DRONE MARKET, BY REGION
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Growing adoption of drone countermeasures in defense sector
5.2.1.2 Increasing development of advanced anti-drone technologies amid rising criminal activities
5.2.1.3 Rising unauthorized drone sightings near airports globally
5.2.1.4 Rapid advances in detection and jamming technologies
5.2.2 RESTRAINTS
5.2.2.1 Requirement for substantial upfront capital
5.2.2.2 Operational complexities and risk of false positives in drone detection
5.2.2.3 Lack of harmonized standards and regulations across geographies
5.2.3 OPPORTUNITIES
5.2.3.1 Integration of AI and ML into drone detection and tracking platforms
5.2.3.2 Expansion of smart city infrastructure
5.2.3.3 Increasing complexity of drone threats
5.2.4 CHALLENGES
5.2.4.1 Vulnerabilities to hacking
5.2.4.2 Integration with existing security and surveillance ecosystems
5.3 VALUE CHAIN ANALYSIS
5.4 ECOSYSTEM ANALYSIS
5.5 INVESTMENT AND FUNDING SCENARIO
5.6 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.7 TECHNOLOGY ANALYSIS
5.7.1 KEY TECHNOLOGIES
5.7.1.1 Artificial intelligence (AI) and machine learning (ML)