How much does app development cost in India?
In 2026, most mobile apps built in India land in one of three broad ranges. These are market ranges you will see quoted by established agencies, not a quote; the honest answer for your app depends on the questions further down.
| App type | Typical range (INR) | Typical range (USD) | Timeline |
|---|---|---|---|
| Simple app: a few screens, sign-in, one core feature | 3 to 8 lakh | $4,000 to $10,000 | 6 to 10 weeks |
| Medium app: payments, notifications, admin panel, APIs | 8 to 25 lakh | $10,000 to $30,000 | 3 to 5 months |
| Complex app: marketplace, real time features, AI, scale | 25 lakh and above | $30,000 and above | 5 months and up |
Hourly rates in India typically run between $15 and $40 for an experienced agency team, against $80 to $150 in the US and Western Europe. That gap is why so much of the world's software is built here; the quality difference is decided by the team, not the geography.
At AppWizards we do not price by the hour. A one-week discovery ends in a fixed price for a defined scope, so the number you approve is the number you pay.
What actually changes the price
Five things move an app quote more than anything else:
- The number of user types. An app for customers is one product. An app for customers, vendors and an admin team is closer to three.
- Payments and compliance. Taking money means payment gateways, refunds, invoices, taxes, and in some industries audits. Budget for it from the start.
- Integrations. Every external system your app must talk to (an ERP, a logistics provider, WhatsApp) adds work that is invisible in the design but real in the build.
- Offline and real-time behaviour. An app that must work without a network, or update live like a chat, costs meaningfully more than one that loads on demand.
- The unknowns you have not decided yet. Changing direction mid-build is the most expensive feature there is. A week of discovery is the cheapest insurance you can buy.
How AI features change the budget
Adding AI to an app has two costs, and mixing them up causes most of the surprise bills.
Build cost is one-time: connecting a model, building the prompts and the retrieval over your data, and testing it against real examples. For a single well-defined feature such as smart search or a summary view, this typically adds two to four weeks to a project.
Running cost is monthly: every AI request costs money, unlike ordinary code. A feature used by ten thousand users can cost anywhere from a few thousand rupees to a few lakh per month depending on the model and the design. We estimate this from the prototype's real usage before you commit, and we design to keep it down with caching and smaller models for simple steps. Our article on what an AI agent costs to run works through a full example.
How to keep the cost down without a worse app
- Launch with one platform if your audience allows it, or use Flutter or React Native to cover both iOS and Android with one codebase.
- Cut features, not quality. A five-feature app built well beats a fifteen-feature app built badly, and you can add the rest after real users have voted.
- Reuse before you build. Payments, chat, analytics and authentication are solved problems with good services behind them.
- Insist on a fixed price after discovery. Hourly billing rewards slow work; a fixed price rewards a clear plan.