Key Takeaways
- The global counter-UAS market size was valued at USD 1.27 billion in 2022 and is projected to reach USD 5.08 billion by 2028, growing at a CAGR of 26.4%
- North America dominated the counter-UAS market with a 38% share in 2023, driven by high military spending and drone threats
- The electronic warfare segment of counter-UAS systems is expected to grow at a CAGR of 28.2% from 2024 to 2030 due to advancements in jamming technology
- Counter-UAS RF jamming technology detects signals up to 10 km range with 99.5% accuracy in urban environments
- EO/IR sensors in counter-UAS systems achieve 5 km detection for drones under 2 kg at night with 4K resolution
- Machine learning algorithms in Dedrone's platform classify drone models with 98.7% accuracy using RF signatures
- Dedrone acquired by Axon in 2024 for USD 400 million to integrate C-UAS into body cams
- Anduril Industries raised USD 1.5 billion in Series F at USD 14 billion valuation in 2024 for C-UAS expansion
- Liteye Systems secured USD 50 million contract from US Army for AUDS C-UAS in 2023
- FAA issued first nationwide Remote ID rule for UAS on April 21, 2021, mandating tracking tech on drones over 0.55 lbs
- EU Drone Regulation 2019/945 and 2019/947 classify C-UAS as high-risk ops requiring certification
- US DoD JCO C-UAS Policy #JUON 20.01 mandates layered defenses for bases since 2020
- US Gatwick Airport drone incident 2018 led to UK Drones Act 2019 banning flights <1km airports
- US Navy deployed 100+ Coyote interceptors neutralizing 50 Houthi drones in Red Sea 2024
- Ukraine MoD C-UAS downed 4,200+ Russian drones with Buk-M1/2 systems since 2022
The counter-drone industry surges due to rising threats and rapid technological advances.
Company Profiles & Funding
Company Profiles & Funding Interpretation
Market Size & Projections
Market Size & Projections Interpretation
Operational Deployments & Case Studies
Operational Deployments & Case Studies Interpretation
Regulatory Frameworks
Regulatory Frameworks Interpretation
Technological Developments
Technological Developments Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Nathan Caldwell. (2026, February 13). Counter-Uas Industry Statistics. Gitnux. https://gitnux.org/counter-uas-industry-statistics
Nathan Caldwell. "Counter-Uas Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/counter-uas-industry-statistics.
Nathan Caldwell. 2026. "Counter-Uas Industry Statistics." Gitnux. https://gitnux.org/counter-uas-industry-statistics.
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