AI video analytics cost
By Muhammad Talha · Product Manager and CTONine years building computer vision and automated surveillance systems
AI video analytics cost is the price of adding automated detection, classification, and alerting capabilities to your existing camera infrastructure. Pricing models vary: per-camera subscriptions, per-channel licenses, or hardware-bundled solutions. Cloud-based analytics like Camzify typically offer the lowest entry cost with subscription pricing.
Pricing models in the market
The three dominant pricing models are: per-camera subscription (Camzify, Eagle Eye), per-channel perpetual license (Milestone, Genetec), and hardware-bundled (Verkada). Subscription models have the lowest upfront cost; perpetual licenses have lower long-term cost but require on-premise infrastructure.
What drives the cost
Number of cameras, types of analytics (basic motion vs AI detection vs attribute extraction), video retention period, cloud vs on-premise deployment, and integration requirements. More advanced AI capabilities command higher per-camera prices.
Cloud vs on-premise cost comparison
Cloud analytics (like Camzify) eliminate server hardware, GPU costs, and on-site IT maintenance. On-premise solutions require upfront hardware investment but may have lower long-term per-camera costs at scale. See the cloud vs on-premise comparison for details.
Evaluating ROI
The ROI of AI video analytics is measured against the cost it replaces — guard hours, incident investigation time, compliance reporting effort, and loss prevention outcomes. Use the ROI calculator to model the comparison for your virtual patrolling deployment.