Android app development cost for manufacturing & industrial

There is no single figure, and quoting one would be the least useful thing this page could do — the same pairing spans several-fold depending on scope, compliance and how many surfaces you ship. What this page gives you instead is what the pairing demands: the regimes that may apply, the systems of record you will be asked to integrate with, the device matrix and the release path. The calculator below is already fixed to Android and manufacturing & industrial — answer what is left and it returns a cost range, hours, timeline, team and running costs for your scope.

Because manufacturing & industrial brings its own obligations before you write a feature: SOC 2 Type II, ISO/IEC 27001, FDA 21 CFR Part 11 may apply, you will be asked to integrate with systems like SCADA / historian and MES, and there are typically 6 distinct roles rather than one. The platform contributes its own separate costs — the device matrix, Google Play review — and those are independent of the industry.

Because you are not shipping to one device family. Android spans thousands of models, four density buckets, five OS versions still in meaningful use, and vendor skins from Samsung, Xiaomi, Oppo and others that change how notifications, background work and permissions behave. A realistic matrix is 20–30 configurations, which is roughly 60–80 hours of QA per release cycle that an iOS-only build simply does not incur.

For Android alone, native Kotlin is usually cheaper — you are not paying a framework premium or writing bridges. Flutter and React Native only win once you need iOS too, at which point one codebase serving both costs roughly 24% more than a single native app instead of 170% more. Choose native if Android is your only target or you need deep hardware access; choose cross-platform if both mobile platforms are in scope and your UI is fairly conventional.

Two things, neither of them features. First, integration with equipment and systems of record: industrial protocols, gateways and segmented plant networks make a conceptually simple data feed into a multi-month effort, and network approval is usually slower than the engineering. Second, telemetry volume: a few hundred sensors at second resolution is millions of points a day, which requires a time-series store, downsampling and a retention policy rather than a normal database table.

It is a planning estimate, not a quote. The band shown is roughly plus or minus 15–20% for a well-defined scope, and wider while requirements are still moving. It is built from engineering hours per discipline, converted at our blended delivery rate, so the hours are directly comparable to a real proposal line by line — but a firm price needs a technical specification, which is the step after budgeting.