How Much Does Custom Software Cost in 2026?

"How much does it cost to build custom software?" is the first question almost every company asks, and the honest answer lives in a range, not a single number. That frustrates people who want a sticker price, but the range is knowable, and the reasons it moves are knowable too. A small internal tool and a multi-tenant platform are as different as a garden shed and an apartment block, even though a first conversation can make them sound like the same request.

In 2026 there is a new twist. AI coding assistants have genuinely changed how fast experienced teams ship, which has pulled some prices down and, more importantly, changed where the cost actually sits. The typing was never the expensive part. Here is what custom software really costs this year, what moves the number up or down, and where the money goes once you look past the headline quote.

The honest ranges for 2026

Prices vary by market and team, but as a working guide for a competent European studio in 2026:

• A focused internal tool (one workflow, a handful of users, a clean data model): roughly 8,000 to 25,000 euros.
• A custom web app or SaaS MVP (real users, auth, payments, a few core features): roughly 35,000 to 75,000 euros.
• A full platform (multi-tenant, integrations, admin tooling, scale): well into six figures, 120,000 euros and up.

Those bands hold across most projects we see. The spread inside each one is not padding, it is the difference between a tool three people use internally and a product strangers pay for, which carries security, reliability and polish the internal tool never needs.

What actually moves the price

Five things drive most of the variance, and none of them is the programming language:

• Scope. The number of distinct features and screens, more than anything else. Every "and can it also..." is another slice of the total.
• Integrations. Talking to your accounting system, a payment provider, a CRM or a legacy database is often where the real work hides. Each integration is a small project of its own.
• Users and roles. A tool for five trusted colleagues is simpler than a product with paying customers, permission levels, self-service signup and the security that implies.
• Design and polish. A rough internal UI is cheap. A consumer-grade experience that users judge in five seconds is not.
• Non-functional needs. Uptime guarantees, data compliance, scale to thousands of concurrent users. Invisible on a mockup, very real on the invoice.

If a quote seems high or low against these, one of these dimensions explains it. The cheapest quotes almost always assume away integrations, roles or compliance that you will need anyway.

Where the money actually goes

People picture the cost as "paying someone to write code." Writing code is maybe a third of it. The rest is the work that makes the code correct and safe to run: understanding the problem, designing the data model, testing, fixing, wiring integrations, and getting it deployed and monitored.

This is why AI coding assistants have not collapsed prices the way headlines promised. They speed up the typing, which was never the bottleneck. The judgement, deciding what to build, catching the edge case that corrupts data, integrating with a system that documents itself badly, is exactly the part that still needs experienced people. Faster code generation has made good teams a bit quicker and moved even more of the value into design and review, not less.

The cost nobody quotes: the years after launch

The build price is the down payment, not the mortgage. A rough industry rule is that 60 to 70% of a software product's lifetime cost comes after it ships, in maintenance, dependency upgrades, security patches, and the new features you will want once real users start asking. Budget for it from the start. A common, healthy figure is 15 to 20% of the build cost per year to keep the software healthy and evolving.

The teams that get burned are the ones who treat launch as the finish line, ship on a fixed budget with nothing left for iteration, and watch the product slowly rot because there was never a plan to maintain it. Custom software is owned, not rented, and ownership is ongoing.

How to avoid overpaying

Three habits keep the number honest. First, put every option on a five-year total cost of ownership, not a launch-day price, so a cheap build with expensive maintenance does not fool you. Second, insist on a phased scope: a small, shippable first version, then decisions based on real usage. Third, get quotes that break down the drivers above, so you can see why a number is what it is and compare like with like.

If you are still deciding whether to build at all, our build vs buy guide is the step before this one, and for a product aimed at outside customers, what a SaaS MVP really costs drills into the range above.