Aerospace & Defence: the AI market compounds at 13.5% a year — certification cadence does not
The AI-in-A&D market grows toward $55B by 2030. The binding constraint is not budget — it is the internal capacity to evaluate, version and re-qualify frontier models that ship almost monthly.
The AI-in-aerospace-and-defence market is not short of money. It runs from about $29.3B in 2025 to $33.3B in 2026 and $55.3B by 2030 — a 13.5% compound annual rate. Budget is not the discriminator.
The discriminator is cadence mismatch. Frontier models now ship on a near-monthly rhythm, while every critical software brick in the sector — maintenance, inspection, mission planning, safety — follows a long qualification cycle. When a new model is deployed at general availability without pre-homologation, the gap between what is available and what is certified widens.
The answer is internal AI governance treated as an engineering discipline, not a policy slide: a map of critical use cases, in-house evaluation sets, explicit acceptance thresholds, and controlled switching between model versions. The firms that build this capability convert a fast-moving model market into an advantage; the ones that don't inherit its risk.
For A&D leaders the practical question is narrow and answerable: which of your AI-touched decisions are safety- or margin-critical, and can you re-validate them faster than the models change?
Analysis by
Cardan-AI Intelligence
Our research and analysis unit, dedicated to applied AI for business, industry and regulatory compliance.
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