VSaaS (Video Surveillance as a Service) is video surveillance delivered as a service: instead of buying recorders, servers and software licenses, the customer connects their cameras to a platform over the internet and pays a subscription. Recording, alerts, artificial intelligence and remote access are the vendor responsibility, and the customer reaches all of it through a browser or an app.
VSaaS, VMS SaaS and cloud VMS: the acronyms overlap
The three terms describe almost the same thing from different angles — worth separating so you do not get lost in a sales conversation:
- VSaaS names the service category: video surveillance contracted as a continuous service, with the vendor running the infrastructure. It is the term market analysts use most.
- VMS SaaS stresses the product: a complete VMS — video management, users, recording, events and AI — sold in the SaaS model. Every VMS SaaS enables a VSaaS offering; the VMS SaaS page details what such a product needs.
- Cloud VMS (or cloud VMS) stresses the infrastructure: the software runs in the vendor cloud, not on a customer server. It is the typical architecture behind VSaaS — but, as we will see, the cloud is not the only way to deliver a service.
In practice, when somebody buys "cameras on a subscription" they are buying VSaaS; the platform the vendor uses to deliver it is a VMS SaaS; and the recording usually happens on a cloud VMS.
Subscription versus perpetual license
The economics are the heart of the model. In the traditional format, the customer buys the software (a perpetual license), buys the server, pays for installation — a high upfront investment — and then carries maintenance, upgrades and, in many cases, annual update contracts. The software is an asset that ages.
In VSaaS there is no perpetual license and no mandatory server investment: billing is a monthly fee sized by usage — at Xeqmate, for instance, each camera has a resolution × retention-days plan, charged pro-rata by days of use, plus the modules contracted. The cost follows the real size of the operation: it grows when cameras come in and shrinks when they go. Software updates reach every customer automatically, with no upgrade project.
The real advantages
- A fast start with no construction — with no server to buy and install, the first cameras go live in minutes; existing IP cameras, DVRs and NVRs connect over RTSP, RTMP or P2P, with no hardware swap.
- Recording out of reach of whoever breaks in — with cloud recording, stealing or damaging the recorder does not take the evidence with it.
- AI with no special hardware — when the analytics run on the platform server, any camera with a compatible stream gains person, vehicle, plate and face detection.
- Native remote access — web and mobile are part of the product, not an add-on configured camera by camera.
- Maintenance and evolution on the vendor — the platform is updated continuously, and the operation does not administer an operating system, a disk or a video server backup.
Honest limitations
No model is free of trade-offs, and it is better to know them before the contract:
- Internet dependency — in cloud mode, the camera needs a connection to send video. If the site link goes down, the stream stops and that period has no cloud recording.
- Upload bandwidth — every camera streaming continuously consumes upload 24 hours a day. Many cameras on a limited link demand bandwidth planning, or make sending them all to the cloud impractical.
- Recurring cost — the monthly fee never "ends", unlike a perpetual license already written off. For stable, very large operations it is worth comparing years of accumulated subscription against the total cost of the local model (including server, power, maintenance and hardware replacement — which also never end, they just sit in a different budget line).
The mature answer to those limitations is not to discard the model but to combine it with on-premise recording where that makes more sense. At Xeqmate, cloud and local recording servers live on the same platform: sites with good internet record to the cloud; sites with many cameras or a limited link record to a local server — and the operator sees it all in the same dashboard. The article On-premise or cloud VMS compares both scenarios dimension by dimension.
Who VSaaS makes sense for
- Integrators and central stations — reselling monitoring as a recurring service, with multi-tenancy, white-label and per-account billing.
- Companies with several sites — shops, branches and franchises that need a central view without installing a server at every location.
- Residential properties and schools — wanting a front desk, cameras and alerts on a managed platform, with no dedicated IT team.
- Operations that need AI — LPR, facial recognition and analytics delivered from the server, with no hardware project.
The model is essentially B2B: the buyer is the operation (or the integrator serving it), not the end consumer.