How Long Does It Take to Build an App? Realistic Timelines by Project Type

How long does it take to build an app? A focused MVP ships in 8–14 weeks, a standard business app takes four to eight months, and complex platforms run eight months to well over a year. Those spans come from our own delivery history and line up with what the wider market reports: GoodFirms' survey of development companies found feature complexity, the number of platforms, and device coverage to be the factors that stretch timelines most, with feature-rich consumer apps estimated at close to a year of work. The table below turns that into planning numbers, and the sections after it explain where the weeks actually go.

How long does each type of app take?

Between two weeks for a throwaway prototype and two years for a regulated enterprise platform. These are the spans we plan around:

Project type	What it includes	Realistic timeline
Prototype	Clickable core flow, demo backend, no production hardening	2–4 weeks
Simple MVP	One platform, one core workflow, standard UI components	8–14 weeks
Standard business app	Accounts, payments, admin panel, one or two integrations	4–8 months
Complex product	Multiple user roles, real-time features, several integrations	8–14 months
Enterprise or regulated system	Legacy integrations, compliance review, data migration	12–24+ months

Two readings of the table matter. First, the ranges widen as you move down, because uncertainty compounds: every added role and integration multiplies the paths that need building and testing. Second, the rows describe scope rather than ambition. Plenty of billion-dollar ideas fit in row two, and shipping there first is usually the fastest route to row four.

Where do the weeks actually go?

Roughly a fifth to discovery and design, half to development, and the rest to testing, hardening, and release. A typical 16-week MVP splits into one to three weeks of discovery, two to four weeks of design running slightly ahead of the build, eight to ten weeks of development, and a final two to three weeks of stabilization, store submission, and launch. In a competent process these phases overlap, with design staying a sprint ahead of engineering rather than finishing before it starts. The step people forget to schedule is the release itself: app review on the stores usually clears in a day or two, but a rejection restarts the cycle, so we submit an early build long before launch week to surface policy problems while they are still cheap to fix.

What makes app projects run late?

Scope additions, integration surprises, and slow decisions, roughly in that order. McKinsey's research with Oxford across more than 5,400 IT projects found large efforts running 45% over budget and 7% over schedule on average, with software carrying the highest overrun risk of any project type. The daily mechanics behind numbers like that are mundane: a third-party API turns out to have rate limits nobody read about, a stakeholder takes nine days to approve a design that blocked two engineers, a feature added in week six invalidates testing finished in week four. None of these are exotic, and all are manageable if surfaced early. The countermeasure is a weekly demo of working software, because slippage visible at week three costs a conversation, while slippage discovered at week fifteen costs a renegotiation.

Does cross-platform development save time?

Yes, when you need both iOS and Android; in our experience a single React Native codebase saves roughly a third of the schedule compared with building two native apps in parallel. Expect less than the naive 50%, because platform-specific work never fully disappears: push notifications, store setup, and the occasional native module still bill hours on each platform. For most business apps the trade is excellent, which is why React Native is our default stack for mobile. There are cases where native still wins the calendar, particularly heavy graphics, deep hardware access, and platform-first polish, and we mapped that decision in React Native vs native vs Flutter. Choose the framework before you estimate the schedule, since the choice moves the finish line by months on a two-platform product.

Can AI tools compress the schedule?

They compress the typing, which was rarely the bottleneck. AI coding assistants genuinely accelerate scaffolding, test writing, and boilerplate, and we use them across our own projects. What they do not accelerate is deciding what to build, reviewing generated code properly, debugging integrations, and waiting for stakeholder approvals, which together dominate the calendar on real projects. Our working estimate is that current tooling trims 10–20% from the build phase of a typical business app rather than halving the project, a shift we unpacked in how AI is changing software development. Treat any vendor promising an AI-powered 3x schedule with suspicion, and ask them which phase the multiplier applies to. If the answer is "all of them," they have not shipped much lately.

How do you plan a schedule you can trust?

Fix either the deadline or the scope, and let the other one breathe. A schedule with both pinned down is a promise someone will quietly break, usually in testing where you cannot see it. Add a 15–20% buffer to whatever estimate survives scoping, and resist solving delays by adding people mid-project, because onboarding consumes the very capacity it is meant to add; team size moves the budget faster than the calendar, as our team cost guide shows. Above all, insist on seeing working software every week from week two onward. If you have a launch date in mind, tell us what you are building and we will tell you whether the date is realistic, and what scope would make it so.