What a machine monitoring system actually costs — and what drives it.
The full cost structure, so you can build your own estimate and interrogate any quotation. We explain every driver; we do not publish figures, and this page explains why.
We do not publish price figures, and it is worth saying why rather than leaving you to guess. A monitoring quotation depends on how many of your machines can be read over the network, how many need hardware, how many sites are involved and what you want built on top. A number published without those facts would be wrong for almost every reader, and the ones it flattered would discover the truth at quotation stage anyway.
What follows is everything that actually moves the price, so you can build your own estimate, interrogate any vendor's quotation — ours included — and know which line items are real and which are padding.
The variable costs.
Software licensing per machine
Nearly all vendors price per monitored machine or per band of machines. Ask whether the price is per machine or per connection point, and what happens when a machine is retired or replaced.
Gateway hardware, per machine that needs one
Only machines without a readable control need hardware. This is the single biggest swing factor in an Indian quotation, because a 40-machine shop might need it on five machines or thirty-five.
Sensors, where condition monitoring is in scope
Vibration and temperature sensing on critical assets is priced per point, not per machine. Most plants instrument a handful of machines rather than all of them.
The fixed costs, which are where small plants get over-quoted.
The on-premises server
One server per site regardless of whether it monitors eight machines or eighty. For a small shop this is the dominant fixed cost; for a large one it is a rounding error.
Deployment and commissioning
Engineering time to connect, verify signals and configure. Scales with machine variety far more than machine count — twenty identical VMCs are quicker than five different machines.
Training and rollout support
Operator and supervisor training, reason-code design, and the first weeks of hand-holding that decide whether the system is used or ignored.
Ask these before comparing any two proposals.
| Question | Why it moves the price |
|---|---|
| How many machines have networked CNC controls? | These need no hardware. The higher this proportion, the lower the quotation. Count them before asking anyone for a price. |
| How many machines have a PLC that can be read? | Also usually no added hardware, but needs a network path and agreement on which tags to expose. |
| How many have nothing readable at all? | Each needs a Gateway and an installation slot. This is where quotations diverge most. |
| On-premises or cloud? | On-premises means a server cost you own once. Cloud means a recurring fee that never ends and grows with data retention. Over a five-year horizon these are very different numbers. |
| Is licensing modular or all-inclusive? | Per-module pricing looks cheaper at quotation and expensive at year three, when you want the module you did not buy. |
| What is the data retention period, and what does exceeding it cost? | Cloud platforms frequently price storage separately. Ask what three years of second-level data costs. |
| What is charged for a custom report or dashboard? | Some vendors charge per report. Over a few years this can exceed the platform cost. |
| What happens at renewal if you decline? | Ask whether the historical data remains accessible and in what format. This is the question nobody asks and everybody regrets. |
The same system, two very different five-year totals.
Cloud monitoring has a low entry cost and a recurring bill that scales with machines and retention. On-premises has a higher initial cost — you buy a server — and no recurring hosting fee, so the lines cross somewhere in the second or third year for most plants and diverge after that.
There is a second consideration that Indian manufacturers raise more often than cost: cycle times, rejection rates and capacity utilisation are commercially sensitive. On-premises deployment means that data physically never leaves your plant. Whether that is worth anything is a judgement about your customers and your competitors, not something a vendor should decide for you. It is covered in full on the on-premises page.
Four steps, no vendor required.
One. Walk the floor with a list and mark each machine as networked-control, PLC-readable, or nothing readable. That single count determines most of the hardware line.
Two. Decide the scope honestly. Machine states and OEE for the whole floor is a different project from condition monitoring on twelve critical assets, and mixing them in one quotation makes comparison impossible.
Three. Take your machine-hour rate and estimate what recovering even a modest share of unlogged downtime is worth annually. The ROI calculator does this at your own rates. If that number is not comfortably larger than any plausible quotation, the project is not worth doing — and you have learned that for free.
Four. Run a pilot before committing to a fleet price. Two machines for thirty days converts every assumption above into a measured figure, including how many of your machines actually expose what you were told they would.