How much does cloud video production cost?
An honest breakdown of cloud production pricing models, what actually drives the bill, and how cloud workflows compare to traditional hardware on total cost of ownership.
“How much does cloud video production cost?” is the single most common question we get asked once a broadcaster moves past whether to adopt cloud and starts asking how. It’s also the question that’s hardest to answer with a sticker price, because the right number depends on how often you produce, how many channels you run, how many platforms you publish to and how variable your schedule is.
This piece won’t hand you a single figure, because no honest one exists. What it will do is explain how cloud production is actually priced, what drives the bill up or down, and how cloud compares to traditional and REMI workflows over the time horizon that matters for the decision.
How cloud video production is priced
Cloud production pricing has settled into a handful of recognisable models. Most platforms use a combination of these rather than a single one.
1. Subscription / SaaS
A predictable monthly or annual fee for access to the production platform and a defined level of usage, typically a number of simultaneous productions, channels or destinations. This is the simplest model for finance teams to budget against and the one most common for ongoing operations.
2. Per-event or per-hour
Pay for the productions you actually run, billed by event or by hour of production time. This suits one-off tournaments, seasonal events or organisations whose schedules are genuinely lumpy. It can be the cheapest option for low volumes and the most expensive at scale.
3. Channel- and output-based
Pricing scaled by the number of simultaneous channels, outputs or destinations, such as broadcast feed, OTT, YouTube, TikTok, Facebook, an internal channel. This is where cloud’s economics start to bite: adding another output destination is a line on an invoice, not a piece of hardware to buy.
4. Consumption / pay-as-you-go
The cloud provider’s own model, billed on compute time, storage and data transfer. Most cloud production platforms wrap this into the headline price, but a few pass it through. Always ask whether cloud compute and egress are included or itemised, it matters.
What actually drives the bill
Beneath whichever pricing model you sign, the real cost of running cloud production breaks down into the same components. Knowing them stops you comparing apples to oranges across vendors.
- The production platform itself: the subscription or per-use fee covering switching, graphics, replay, audio, encoding and operator access.
- Cloud compute and egress: the raw infrastructure under the platform. Usually included; sometimes itemised. Egress (data leaving the cloud) is the line item buyers most often miss.
- Contribution: the bonded uplink units, encoders and connectivity at the venue that get the feed into the cloud. This is the one piece of meaningful hardware cloud doesn’t remove.
- Outputs and destinations: each additional output (broadcast, OTT, social) and each additional format (16:9, 9:16, 4:5) typically has a price implication, even if small.
- Storage and replay: recording, clipping and archive. Cheap per gigabyte; meaningful at sport-season scale.
- People: a remote-first crew is usually smaller than an on-site one, but you’re still paying skilled operators. Cloud reduces headcount; it doesn’t eliminate it.
- Integration: hooks into your existing playout, OTT platform, CMS, ad-insertion and rights-management systems. Often a one-off, sometimes ongoing.
Cloud vs traditional production: where the saving comes from
Traditional production carries a heavy fixed-cost base. A gallery costs hundreds of thousands of pounds (or millions, depending on tier), it depreciates, it needs refreshing every five to seven years, and you pay for it whether you produce 50 shows a year or 500. OB trucks add day-rate hire, crew travel and freight to every event. None of that scales gracefully when output goes up.
Cloud production turns most of that fixed cost into flexible, on-demand capacity. You pay for productions when you run them, scale up for a busy month and scale back down afterwards, and avoid buying against your peak. Grabyo’s own benchmarking puts cloud workflows at up to 65% cheaper than traditional hardware production for comparable output, the exact figure for your operation will sit somewhere on the curve, but the direction of travel is consistent.
Total cost of ownership: a five-year view
Single-year comparisons can mislead, because traditional production’s capex is already sunk for many broadcasters. The more useful view is total cost of ownership across a typical hardware refresh cycle.
| Traditional / REMI on hardware | Cloud-based REMI | Hybrid | |
|---|---|---|---|
| Up-front cost | High: gallery / OB hardware capex. | Low: contribution kit only. | Existing hardware retained; minimal new capex. |
| Year-on-year cost | Maintenance, refresh, crew, travel. | Subscription / usage; scales with output. | Existing maintenance plus growing cloud opex. |
| Year 5+ | Refresh cycle hits; capex spike repeats. | Continues opex; no refresh shock. | Cloud share grows as hardware retires. |
| Cost of adding a 2nd channel | Significant: more hardware. | Marginal: a config change. | Marginal if added in cloud. |
| Cost during quiet periods | Same as busy periods. | Scales down; pay only for what you use. | Hardware base cost unchanged; cloud scales. |
The shape of the curve is the point. Traditional production’s cost is largely flat regardless of how much output you generate. Cloud’s cost moves with what you produce, which means scaling up your output is dramatically cheaper than it used to be, and scaling down is actually possible.
The cost-per-production angle
The most underrated way to think about cloud production economics is per-production cost. On hardware, every additional production carries roughly the same cost as the last, the gallery is full or it isn’t. In the cloud, the marginal cost of the next production is close to incremental compute and operator time. That’s the mechanism that’s made it economic to broadcast second-tier sport, regional leagues, full-season coverage of competitions that used to be highlights-only, and dedicated vertical alt-casts alongside the main show.
If you’re still weighing REMI vs cloud-based REMI vs hybrid, our workflow comparison piece walks through which model wins in which situation.
The hidden costs to watch for
Three things catch buyers out more than anything else when the first invoice arrives.
Egress and data transfer
Cloud providers charge for data leaving the cloud, and video is heavy. If your platform passes egress through rather than absorbing it, ask what your expected monthly transfer looks like and price it in. Some workflows benefit from delivering through a CDN partner with negotiated egress.
Contribution bandwidth at the venue
Reliable upload bandwidth at every venue is non-negotiable for cloud production, and bonded cellular or dedicated connectivity isn’t free. Factor in uplink hardware (often subscription too), SIM contracts and back-up paths. It’s small compared to gallery capex, but it’s real.
Multi-format and multi-destination output
Producing one 16:9 feed is rarely the whole job. Vertical alt-casts, square cuts, multiple bitrates, multiple destinations, each adds something to the bill. Cloud handles all of them more cheaply than hardware, but “cheaper” isn’t “free”. Model what your real output looks like, not the minimum spec.
Training and change management
Teams used to physical kit need time to get up to speed with a software-first workflow. The platform itself can be learned in days, but the operational habits – remote crewing, ticketed support, software updates – take a season to bed in. Budget for the people side, not just the platform.
Want a real number for your operation?
We’ll happily model the cost of running your live operation on Grabyo, against your current setup, with your real production volume, channels and destinations. No sticker shock, no hidden line items.
