Once a manufacturer has chosen a manufacturing ERP, a second decision follows: where it runs. Cloud or on-premise. It is often framed as a cost question, and framed that way it produces a poor answer. It is an operational and risk decision first, and the cost follows the right answer rather than leading it.
The two models
An on-premise deployment runs the ERP on servers the business owns and operates, usually inside the plant or a company data centre. The business controls everything and is responsible for everything: hardware, operating systems, backups, updates, security patching, and the response when something breaks at an inconvenient hour.
A cloud deployment runs the ERP on infrastructure a provider operates. The business uses the system over the network and gives up some direct control in exchange for not running the infrastructure underneath it. The provider handles the servers, the backups, and the platform maintenance.
What cloud gives a manufacturer
Cloud removes the infrastructure burden entirely. There is no server to specify, buy, or replace on a refresh cycle, no patching schedule to maintain, no backup regime to design and, crucially, to test. It is reachable from anywhere with a connection, which matters more than it first appears: leadership reviewing numbers, a second plant, a salesperson at a customer site, and a remote accountant all reach the same system without a VPN project.
Costs are predictable and operational rather than a large periodic capital outlay on hardware. For most small and mid-sized manufacturers, who do not have spare infrastructure staff and do not want to acquire any, cloud is the lower-friction path by a wide margin.
What on-premise gives a manufacturer
On-premise gives maximum control. The data physically sits where the business decides. For a manufacturer with genuine data-residency obligations, defence or government contracts, or specific contractual constraints on where information lives, that control is sometimes a hard requirement rather than a preference.
On-premise also keeps the system running independently of an internet connection. A plant in a location with genuinely unreliable connectivity may need the ERP to keep working through an outage, and on-premise delivers that. It also means no recurring hosting fee, though, as below, that saving is rarely the whole picture.
What actually decides it
Three honest questions decide the model, and cost is not the first of them.
Do you have the team to run infrastructure? On-premise is only cheaper if the business has, and will keep, people who can manage servers, run and verify backups, apply security patches, and respond to incidents out of hours. Without that capability, on-premise is not a saving; it is a job the business cannot do, and the cost arrives later, all at once, as an outage or a failed backup discovered at the worst moment.
Do you have a real control or compliance requirement? If yes, it can legitimately override everything else. If no, control for its own sake is not worth the operational burden it carries.
How much do you want to think about IT? For most manufacturers, the infrastructure under the ERP is not where attention should go. The business should be thinking about production, not patch cycles. Cloud is, bluntly, a way to buy that attention back and spend it on manufacturing.
The middle ground
Between the two pure models sits managed hosting: the system runs on dedicated infrastructure, but a provider operates it on the business's behalf. This suits a manufacturer who wants more control or isolation than a shared cloud offers but still does not want to run servers in-house. It is worth knowing the option exists, because the decision is not always a strict binary.
Where most manufacturers land
For most small and mid-sized manufacturers, cloud is the sensible default: lower operational burden, predictable cost, and access from every site and role that needs it. On-premise earns its place when there is a genuine control or compliance requirement, or real, durable infrastructure capability already in-house. "It looks cheaper on a spreadsheet" is not a good reason for on-premise, because the spreadsheet leaves out the cost of the work and the risk. Decide the model on capacity and risk, and let the cost follow.