







The counter-UAS (C-UAS) market is projected to grow from $9.17B in 2026 to $29.70B by 2031, implying a 26.5% CAGR, supported by increased deployment against drone swarms. North America is expected to lead with a 27.4% CAGR, while the vehicle-mounted segment is forecast at 29.9% CAGR (2026–2031). The UAS mitigation & neutralization segment is expected to be the fastest-growing solution area as procurement and modernization programs expand integrated multi-sensor detection and countermeasure architectures.
This reads more like a budget-allocation story than a standalone addressable-market print. The incremental dollars should concentrate in firms that can bundle sensing, EW, command-and-control, and intercept into one sale; that favors RTX and NOC more than pure-platform names because they can monetize the integration layer and the sustainment follow-on. LMT still participates, but the mix is more exposed to heavier kinetic systems, so its revenue recognition may lag if buyers first spend on detection and battle management rather than new hardware.
The second-order effect is that the fastest near-term demand is likely in mobile/vehicle-mounted and base-defense configurations, which tends to pull spend toward defense electronics and software integration rather than glossy AI-only narratives. For non-military end markets like airports and critical infrastructure, legal and safety constraints usually slow neutralization purchases, so the published market trajectory can overstate near-term bookings by 12-24 months. That means a lot of the upside may already be in backlog visibility rather than current-quarter earnings.
Catalyst-wise, the key watch items are US/NATO procurement language, contract awards, and any high-profile drone incident that forces emergency funding. Over 1-3 months the trade is about order flow; over 6-18 months it is about whether C-UAS becomes a dedicated line item or stays buried inside broader air-defense modernization. The contrarian view is that conventional radar/RF/EW still dominate because they are certifiable and deployable today; the AI-led part may be more of a feature than the profit pool.
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