For decades, video surveillance meant a wall of monitors and a guard. That model is disappearing. The global market for AI in video surveillance was valued at roughly 5.6 billion dollars in 2023 and is projected to reach 16.3 billion dollars by 2028, according to research from ResearchAndMarkets. The number is a useful sign for a bigger shift: security organizations are moving from watching footage after something happens to catching it as it unfolds.
The mechanics of that shift matter. Traditional CCTV is a recording tool. AI-powered video analytics layers computer vision on top of the camera feed, so the system itself can recognize a loitering pattern near a loading dock, flag an unauthorized person in a restricted area, or detect a weapon before a guard ever glances at a screen. Genetec’s coverage of the space describes this as a move toward intelligent search, letting operators locate a specific event in hours of footage in seconds rather than scrubbing through timestamps by hand. That capability changes what a security operations center can realistically do with the staff it already has.
The market data backs up how fast this is scaling. Industry analysis reported by Barchart puts the broader physical security market on a path from $120.8 billion in 2025 to $151.5 billion by 2030. Retail, transportation, and critical infrastructure are adopting these tools fastest, using them for everything from loss prevention to crowd monitoring to anomaly detection in places where a human reviewer simply cannot watch every feed at once.
None of this replaces the judgment of a trained security professional. What AI-powered analytics does well is triage: it tells a human being where to look, and it does so continuously, without fatigue, across more cameras than any team could monitor manually. The organizations getting real value from this technology are the ones treating it as an extension of their security program and building the operational discipline to act on what the system flags.