MVP cost by scope
Hourly and day rates by country
The same MVP with different team models
Where the money goes
What changes the price in 2026
AI features
Regulation with fixed dates
AI-assisted coding
Costs after launch
How to estimate your MVP
FAQ
How much does an MVP cost in Europe in 2026?
How long does it take to build an MVP?
Is it cheaper to build an MVP in Eastern Europe?
How much does an AI MVP cost?
What does an MVP cost after launch?
Sources
How Much Does MVP Development Cost in Europe in 2026? Price Tables by Scope, Region and Team Model
Short answer (updated October 2026). In Europe, a minimum viable product built by a professional team costs €20,000–50,000 for one platform with a handful of core features, €40,000–80,000 for a multi-role product with integrations and payments, and €55,000–150,000 for an AI-heavy or regulated MVP (healthcare, finance). Timelines run from 6 to 20 weeks. The same scope costs roughly €35,000–53,000 with a German agency and €24,000–35,000 with a nearshore agency in Poland or Portugal. Discovery is about 10% of the budget, development about two thirds, and maintenance after launch is usually 15–20% of the build cost per year.
Below are the tables behind these numbers, where each figure comes from, and what changes the price in 2026: AI features, the EU Cyber Resilience Act, the AI Act after the Digital Omnibus, and AI-assisted coding.
MVP cost by scope
Every published MVP price range we found comes from a vendor, not from an independent survey, so we show several of them side by side together with our own packages. Read them as market ranges, not quotes.
| Scope | What it usually includes | Market range | Weeks | SDH package |
|---|---|---|---|---|
| Discovery and clickable prototype | Business analysis, user flows, clickable prototype, estimate | €5,000–15,000 | 2–4 | Discovery: up to €1,000, 1–2 weeks |
| Core MVP | One platform (web or mobile), 3–5 core features, basic design | €20,000–50,000 | 6–12 | Ignition: €23,000–32,000, 4–6 weeks |
| Extended MVP | Several user roles, UI/UX design, API integrations, payments | €40,000–80,000 | 10–14 | Acceleration: €32,000–74,000, 6–10 weeks |
| AI or regulated MVP | RAG assistant or AI-native workflow; healthcare, fintech, compliance work | €55,000–150,000 | 12–20 | Custom: €55,000–140,000, 10–16 weeks |
Market ranges are compiled from German, Austrian and Eastern European agency pricing published in 2026: alloq.digital (custom MVP €20–50k, AI/MedTech/FinTech €50k+), Kolonell (web-app MVP €20–50k in 8–14 weeks), Wavect (RAG assistant €35–80k, AI-native product €70–120k+) and SoftTeco. The SDH column shows our MVP packages in euros.
What moves a project from one row to the next is rarely the number of screens. It is the number of user roles, integrations with systems you do not control (ERP, payment providers, health records), and how much of the data must be protected or audited.
Hourly and day rates by country
Rates explain most of the difference between two quotes for the same scope. There are two price layers that are often mixed up: what an agency charges for a managed team, and what a freelancer charges for their own time.
Agency rates, fully loaded (USD per hour, as published by Hauer Power, April 2026):
| Country | Junior | Mid | Senior |
|---|---|---|---|
| United States | 80–130 | 120–180 | 150–250 |
| United Kingdom | 60–95 | 90–140 | 120–180 |
| Germany | 55–85 | 80–110 | 100–140 |
| Poland | 30–45 | 45–60 | 55–75 |
| Portugal | 28–42 | 42–58 | 50–70 |
| Romania | 25–40 | 38–55 | 45–65 |
| Ukraine | 22–35 | 35–50 | 40–60 |
| India | 12–22 | 18–32 | 25–45 |
Day rates in Western Europe (Kolonell, September 2026): a senior freelancer in Germany, France or the Netherlands charges €500–700 a day, an agency €600–900 a day for a blended team; in Portugal and Poland it is €350–500 for a freelancer and €400–600 for an agency.
Freelancers in DACH: the median rate is €95 per hour, and €90 for software and web development, according to the freelancermap Freelancer-Kompass 2026 (620 respondents). Half of developers charge €80–100.
SDH: €40–55 per hour for a managed team under a contract with SDH IT GmbH in Hamburg, with engineers in Ukraine.
German rates stay high because the shortage has not gone away: Bitkom's 2026 study counts 79,000 unfilled IT positions in Germany (down from 149,000 in 2023), and 76% of companies expect the shortage to get worse. Across Central and Eastern Europe, rates fell 4.4% year on year, which Accelerance attributes to competition from AI-augmented teams.
The same MVP with different team models
To compare team models fairly, take one scope and price it with each of them. Kolonell published a transparent effort breakdown for a typical web-app MVP: 59 person-days (scoping 5, UX/UI 8, frontend 18, backend 15, integrations 6, testing 5, deployment 2). Here is what that effort costs at the rates above:
| Team model | Rate used | Cost of 59 person-days | What you also pay for |
|---|---|---|---|
| Freelancers in Germany | €90/h median | about €42,000 | You coordinate design, backend, frontend and QA yourself |
| German agency | €600–900/day | €35,000–53,000 | Little overhead; highest rate |
| Nearshore agency (Poland, Portugal) | €400–600/day | €24,000–35,000 | Same time zone or one hour off; contract under foreign law |
| SDH: German contract, team in Ukraine | €40–55/h | €19,000–26,000 | German contract, invoicing and liability; same time zone ±1 h |
| Offshore agency (India) | $25–45/h senior | about €11,000–20,000 | Coordination, time zone and rework; Kolonell estimates that nearshore saves 30–45% on rates but only 15–25% net once coordination is counted |
| In-house hire in Germany | salary | not comparable | Hiring alone takes months; makes sense once the product is validated |
The cheapest row is rarely the cheapest outcome. An MVP exists to test a business hypothesis quickly; a team that needs a week to answer a question costs more in lost time than it saves on the rate. For a deeper comparison of contract types (fixed price, time and materials, dedicated team), see our guide to development cooperation models.
Where the money goes
In the same 59-day breakdown, the budget splits like this:
| Phase | Share of effort | What happens |
|---|---|---|
| Discovery and scoping | about 9% | Hypothesis, user flows, feature list, architecture, estimate |
| UX/UI design | about 14% | Wireframes, clickable prototype, design of key screens |
| Development | about 66% | Frontend, backend, integrations |
| Testing | about 9% | Functional and regression testing, fixes |
| Launch | about 3% | Deployment, monitoring, store submission |
The phase founders most often try to skip is discovery, and it is the one that protects the rest of the budget. A week spent cutting the feature list usually saves several weeks of development. If you are not sure what belongs in version one, start with a short discovery: at SDH it takes 1–2 weeks and costs up to €1,000, and you get a clickable prototype and an estimate you can compare between vendors.
What changes the price in 2026
AI features
An "AI feature" can mean anything from one call to a language model API to a product built around retrieval, agents and evaluation. Wavect's 2026 pricing gives a useful scale: a thin AI feature costs €15–40k, a RAG assistant over your documents €35–80k, an AI-native product €70–120k and more. The difference is not the model; it is the work around it: preparing and indexing data, testing answers against a reference set, monitoring quality, and controlling running costs. Budget for inference as an operating cost: it grows with users, unlike hosting for a classic web app.
Regulation with fixed dates
- Cyber Resilience Act. Since 11 September 2026, manufacturers of software with digital elements sold in the EU must report actively exploited vulnerabilities and severe incidents through ENISA's platform: an early warning within 24 hours, a report within 72 hours (Goodwin). An MVP that will be sold, not just tested, needs an inventory of its components (SBOM) and a way to ship security updates from day one. The main product requirements apply from December 2027.
- AI Act after the Digital Omnibus. Regulation (EU) 2026/1744 entered into force on 27 July 2026 and moved the obligations for high-risk AI systems to 2 December 2027 (Annex III) and 2 August 2028 (Annex I) (Hunton). Transparency duties, such as telling users they are talking to an AI, already apply. Articles that still say "high-risk from August 2026" are out of date.
- Accessibility (BFSG). Since 28 June 2025, German consumer-facing e-commerce services must be accessible; micro-enterprises are exempt, fines reach €100,000 (§ 37 BFSG). Building accessible components from the start costs far less than retrofitting them.
- GDPR is not new, but in healthcare and finance it decides where data may be hosted and who may process it, which narrows the choice of cloud and third-party services.
Vendors quote a 20–40% premium for regulated domains. In our experience the premium is real but mostly front-loaded: architecture, logging and documentation decided in discovery are cheap; the same things added after launch are not.
AI-assisted coding
AI coding assistants are now standard: 90% of developers use them, according to Google's DORA 2025 report. Do they make an MVP cheaper? The evidence points both ways:
- In randomised trials at Microsoft, Accenture and a Fortune 100 company (4,867 developers), assistants increased completed tasks by 26%, with larger gains for less experienced developers (Cui, Demirer et al.).
- In a METR randomised trial, experienced developers working on their own large codebases were 19% slower with early-2025 AI tools, while believing they were faster. In February 2026 METR noted that its follow-up study gave an unreliable signal, so read this as a snapshot, not a constant.
- AI-generated pull requests contained 1.7 times more issues and up to 2.7 times more security issues than human-written ones (CodeRabbit); in Veracode's tests only about half of AI-generated code is secure, a rate that has barely moved since 2023 while syntax correctness rose above 95%.
Our reading: AI shortens boilerplate, tests and prototypes, which matters most in an MVP. It does not remove architecture, review and security work, and an MVP "vibe-coded" without them often has to be partly rewritten before it can scale. Be cautious with quotes that promise to halve the price because of AI.
Costs after launch
The build is not the last invoice:
- Maintenance and small improvements: the common rule of thumb is 15–20% of the build cost per year (some sources say up to 25%). There is no primary study behind it, but it matches what we see.
- Hosting and third-party services: a typical MVP runs on a few hundred euros a month of cloud, email, analytics and monitoring; AI features add usage-based model costs.
- Security updates: under the CRA, a product on the market must receive them, so plan for them rather than treat them as optional.
- The next iteration: the point of an MVP is to learn what to build next. Keep part of the budget for the changes the first users will ask for.
How to estimate your MVP
- Write down the hypothesis the MVP must test and the one metric that will tell you whether it worked.
- List user roles and the 3–5 actions each role must be able to perform. Everything else goes to version two.
- List integrations and data you do not control: payments, ERP, identity, health or financial data.
- Decide whether the product will be sold in the EU at launch: then CRA, accessibility and GDPR apply from day one.
- Choose a team model with the full cost in mind: rate, coordination, contract law and time zone.
- Get a fixed-price discovery or roadmap, then compare build quotes against the same scope.
For a first range in two minutes, use our project cost calculator; for a quote on your scope, look at our MVP development service. If you are budgeting a larger product, our guide to custom software development cost in 2026 covers enterprise and AI platforms.
FAQ
How much does an MVP cost in Europe in 2026?
Between €20,000 and €50,000 for a core MVP on one platform, €40,000–80,000 for a product with several user roles and integrations, and €55,000–150,000 for AI-heavy or regulated MVPs. A clickable prototype with discovery costs €5,000–15,000 on the market; at SDH, up to €1,000 in 1–2 weeks.
How long does it take to build an MVP?
Six to twelve weeks for a core MVP, ten to fourteen for an extended one, and twelve to twenty weeks when AI or regulated data is involved. Discovery adds two to four weeks before development starts (one to two at SDH).
Is it cheaper to build an MVP in Eastern Europe?
The rates are lower: senior agency developers cost $40–75 an hour in Poland, Romania or Ukraine against $100–140 in Germany. The net saving is smaller because of coordination; a German contract with a nearshore team keeps the legal and communication side simple.
How much does an AI MVP cost?
From €15,000–40,000 for a single AI feature in an existing product to €35,000–80,000 for a RAG assistant over your documents and €70,000 and more for an AI-native product. Model usage is an ongoing cost on top.
What does an MVP cost after launch?
Plan 15–20% of the build cost per year for maintenance and small improvements, plus hosting, third-party services and security updates.
Sources
- Bitkom, IT-Fachkräfte 2026, September 2026
- freelancermap, Freelancer-Kompass 2026, July 2026
- Hauer Power, Nearshore software development rates 2026, April 2026
- Accelerance, 2026 outsourcing rate trends
- Kolonell, MVP web app cost in Berlin and developer day rates 2026, September 2026
- Wavect, AI MVP cost in Austria 2026, June 2026
- Cui, Demirer et al., The effects of generative AI on high-skilled work, Management Science 2025
- METR, Early-2025 AI and experienced open-source developers, July 2025, and update, February 2026
- Veracode, GenAI code security, spring 2026 update
- CodeRabbit, State of AI vs human code generation, December 2025
- Hunton, Digital Omnibus on AI enters into force, July 2026
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About the author
CTO & co-founder at Software Development Hub. Software engineer with 20+ years of experience. Python/Django-geek, software architect and IT team leader. Staying up-to-date with tech trends. Strong technical skills and diverse expertise in software structure design, development, team management and cybersecurity.
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