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How Much Does It Cost to Digitalise an Industrial Company? Budget Lines and Factors

Digitalisation has no price list: it has a predictable cost structure. The five budget lines of every project, the factors that move the total, the cost of not digitalising, the applicable IVACE grants and the planning mistakes that cost the most money.

Published
August 7, 2026
Updated
August 7, 2026
Format
Guide
Reading
12 min

There is no set rate for digitalising an industrial company, and anyone who gives you a closed figure without having set foot in your plant is selling you something else. What does exist is a predictable cost structure: line items that repeat in every project, factors that push them up or down and public grants that can cover a relevant share. This guide takes the budget apart piece by piece so you can estimate yours with sound judgement.

Digitalising is not a product, it is a journey

The question “how much does it cost to digitalise my company?” is similar to “how much does it cost to renovate my house?”. It depends on which house, what condition it is in and how far you want to go. An SME manufacturing to order with an old ERP and paper production reports does not start from the same place as one already capturing machine data but not exploiting it. The cost is not set by a vendor’s catalogue: it is set by the distance between your starting point and the point you want to reach.

That is why serious projects are structured in phases, each with its own budget and its verifiable result, instead of a single multi-year contract. That phased approach has a practical consequence for cost: it lets you stop, correct or reorder priorities without having committed all the money. If you want the complete sequence of phases, we develop it in the guide on how to digitalise a factory step by step. Here we focus on the money.

The line items that make up the budget

Regardless of the size of the project, the digitalisation budget of an industrial company is almost always made up of the same five line items. Knowing them avoids the usual trap: comparing offers that include different line items as if they were equivalent.

Line itemWhat it includesWhat happens if it is cut
Diagnostic and roadmapProcess analysis, map of current systems, use-case prioritisation and a phased plan with success criteriaThe first thing anyone proposed gets digitalised, not what hurts most; the order of the phases is decided by the vendor, not the business
Connectivity and data captureSensors, PLC signals, industrial networks, gateways and the infrastructure that takes the data from the machine to the systemThe software is fed by hand; the indicators inherit the biases and gaps of manual logging
SoftwareLicences or subscriptions (ERP, MES, SCADA, BI), implementation, configuration, data migration and integrations between systemsIsolated systems that do not talk to each other; the pending integration reappears later, and more expensive
Training and adoptionTraining by role, hands-on support at go-live, documentation of the new proceduresThe system exists but is not used; the shop floor goes back to paper and spreadsheets within weeks
Support and evolutionMaintenance, incident resolution, small improvements after commissioningThe first unresolved incident erodes trust in the whole project

Two observations on this table. First: the training and support items are the ones that most often disappear from cheap offers, and they are precisely the ones that determine whether the project gets used or abandoned. Second: software is rarely the dominant item people imagine. In projects with a shop-floor component, connectivity and integrations usually weigh as much as or more than the licences.

Orders of magnitude by phase

We are not going to publish our own rates or closed market figures here: every project is budgeted on its real scope, and the ranges circulating online mix incomparable scopes. What can be said honestly is how the money is distributed and which objective references exist to calibrate the scale.

The diagnostic is the cheapest phase and the one that yields most per euro. It usually represents a small fraction of the total budget of the journey, is executed in weeks and its deliverable (the prioritised roadmap) is what prevents the rest from being spent badly. Starting to buy software without this phase is the most common way of paying twice.

The implementation phases concentrate the bulk of the spend. An objective, verifiable reference for the usual scale in the Valencia region of Spain: the DIGITALIZA-CV programme run by IVACE (the Valencian regional innovation agency) required in its 2026 call a minimum project budget of 20,000 euros to be eligible and funded projects with up to 175,000 euros of grant per SME. That range, defined by the public administration itself, maps out well the terrain in which industrial digitalisation projects for an SME move: individual phases from the tens of thousands of euros and complete programmes that can reach well over a hundred thousand when they include ERP, shop-floor data capture and integrations.

Recurring cost exists and must be budgeted from day one. Software subscriptions, hosting, support and evolution are not an extra: they are the condition for what has been implemented to keep working. A budget that only contemplates the initial investment is incomplete.

If your project has a physical automation component (robotics, handling, vision), the cost structure changes and deserves its own analysis: we cover it in how much automating a production line costs. And if the heart of the project is the ERP, the specific breakdown is in how much implementing Odoo in an SME costs.

The factors that move the total

More useful than memorising ranges is understanding what makes two apparently similar companies receive very different quotes. These are the factors with the most weight, in approximate order of impact.

The state of your current data and processes. Digitalising an orderly process is configuring software. Digitalising a chaotic process forces you to pay first for the tidying up: cleansing item masters, unifying codings, deciding who owns each data point. That part of the work does not appear in any catalogue and is what derails budgets most.

The machine fleet and its age. A modern machine with an accessible PLC connects with little effort. A 1990s machine with no communications port needs additional sensors or specific gateways. The cost of capturing the same data point can vary by an order of magnitude depending on the equipment.

The integrations between systems. Each pair of systems that must exchange data (ERP with MES, MES with SCADA, ERP with the customer’s logistics platform) adds integration work and, above all, future maintenance. It is the item that is worst estimated up front, and the one an industrial data platform reduces by replacing point-to-point integrations with a common data layer.

The degree of customisation. Adapting the company to the software’s standard is cheaper than adapting the software to the company, at implementation and at every subsequent upgrade. Every bespoke development is a maintenance mortgage worth signing only when the differentiating process justifies it.

The human scope. Number of users, shifts, sites and profiles to train. Training scales with people, not with licences, and in companies running three shifts it demands specific planning.

Who executes. A generalist integrator learning your sector on the fly does not cost the same as a team that already knows the industrial casework: batches, traceability, costed bills of materials, shop-floor reports. The hourly rate of the latter may be higher; the total hours, considerably fewer.

The cost of not digitalising

A project’s budget is always compared against an alternative that looks free: carrying on as before. It is not. The status quo has real costs that appear on no invoice, which is why nobody adds them up.

There is a cost in the administrative hours spent transcribing, reconciling and chasing information that already exists on some piece of paper or in some spreadsheet. There is a cost in deciding late or blind: accepting an order without knowing whether there is capacity, buying material that was already in the warehouse, discovering a batch deviation once it has been delivered. There is a cost in transcription errors and in contradictory versions of the same data point. And there is a growing cost of market access: anchor customers and supply chains demanding traceability, production data or electronic document exchange as a condition for remaining a supplier.

We are not going to put a generic figure on that cost, because it would be invented: it depends on each operation. But it is measurable in your specific case, and measuring it is part of the diagnostic work. Once the cost of the status quo is quantified, the conversation about the project budget changes in nature: it stops being an expense to minimise and becomes an investment with a benchmark to compare against.

Grants that reduce the bill

In the Valencia region of Spain, the main public funding route for these projects is the DIGITALIZA-CV programme run by IVACE, the regional innovation agency. The figures from the 2026 call: a grant of up to 175,000 euros per SME, aid intensity of between 35% and 45% of the eligible budget, minimum project size of 20,000 euros, an advance of 75% of the grant awarded and an application window from 28 May to 3 July 2026. Mid-caps could apply for up to 100,000 euros. Management software, including ERP, is an eligible cost.

IVACE calls are renewed every year, with conditions that may vary, so the figures above describe the 2026 call and future ones are yet to be published. The complete detail of requirements, eligibility and calendar is in our guide to DIGITALIZA-CV and IVACE grants, which we update with each call.

A clarification about our role: at Captia we do not process grant applications. What we do is execute the technical project the grant funds, with the scope and project documentation a well-prepared application needs. The paperwork is the job of your adviser or a specialised agent.

The mistakes that make a project most expensive

Most of the cost overrun in industrial digitalisation does not come from high rates: it comes from framing decisions. These are the mistakes that cost the most money, from the sector’s repeated experience.

The big bang. Changing everything at once: new ERP, shop-floor capture, dashboards and redesigned processes in a single project. It concentrates all the risk on one date, saturates the organisation and, when something fails, drags the rest down with it. The phased approach costs a little more in management and far less in failures.

Digitalising the chaos. Computerising a disorderly process produces the same disorder, faster and more expensive to undo. If the item master has duplicates or each department calls the same product something different, that problem must be solved before implementation, not after.

Buying the tool before defining the problem. Software chosen for its shiny demo or because it is fashionable conditions the entire project to what the tool knows how to do. The healthy sequence is the opposite: first the use case and the data that feeds it, then the tool.

Customising by default. Replicating in the new software every quirk of the old process, instead of asking which ones deserve keeping. Every avoidable customisation is paid for three times: when developing it, when maintaining it and when migrating versions.

Treating adoption as a formality. Reserving a token slot for training at the end of the budget. A system the shop floor does not use has a return of exactly zero, however well implemented it is.

Frequently asked questions about the cost of digitalising

How much does it cost to digitalise a small industrial company?

There is no single figure: the cost depends on the starting point (state of the data, age of the machine fleet, current systems) and on the scope. As an objective reference of scale, the DIGITALIZA-CV programme run by IVACE (the Valencian regional innovation agency) considered projects eligible in its 2026 call from a budget of 20,000 euros and funded up to 175,000 euros of grant per SME, which reflects the usual range of industrial digitalisation projects in SMEs. The reliable way to know your figure is a prior diagnostic with a phased roadmap.

Which budget line item tends to be most underestimated?

System integrations and adoption. Integrations, because each pair of systems exchanging data adds initial work and permanent maintenance that is rarely estimated well. Adoption, because training and hands-on support are the first things cut from tight offers, and they are what decides whether the system gets used or abandoned.

Are there public grants for digitalising an industrial company?

Yes. In the Valencia region of Spain, the 2026 call of DIGITALIZA-CV (IVACE) offered up to 175,000 euros per SME at an intensity of 35% to 45%, a minimum project of 20,000 euros and a 75% advance, with an application window from 28 May to 3 July 2026. ERP software is an eligible cost. The calls are renewed annually and future conditions are yet to be published.

Is it cheaper to do everything at once or in phases?

On paper, the big bang looks cheaper because it bundles work. In practice, the phased approach comes out better: each phase delivers a verifiable result before committing the next one, the risk of total failure disappears and the lessons from one phase make the later ones cheaper. The management overhead of the phases is small compared with the cost of a large project that fails.

What should I have ready before asking for quotes?

Three things: a diagnostic of your current processes and systems, a prioritised list of problems to solve (not of tools to buy) and a clear idea of the state of your master data. With that, the quotes you receive will be comparable with each other and will respond to your real problem, not to each vendor’s catalogue.


If you want to know how much digitalising your company would cost, the starting point is not a catalogue: it is an operational diagnostic of your processes, your systems and your data, with a phased roadmap and its associated budget. If your project involves an industrial ERP, we implement Odoo in Valencia specialising in Odoo for industry. Get in touch and we will look at your case.

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Written by the Captia Consulting team

Last updated: August 7, 2026