How Much Does a Mobile App Cost in 2026? Pricing Breakdown

The Real Cost of Building a Mobile App in 2026

Mobile app development is one of the most frequently mispriced services in tech. A business owner Googles "how much does an app cost" and finds answers ranging from 5,000 to 500,000 euros. Both numbers can be accurate depending on the app, which makes neither number useful.

The problem is that "app" is as vague as "building." A garden shed and a skyscraper are both buildings. A tip calculator and Uber are both apps. The cost depends entirely on what you are building, who you are building it for, and what technical decisions you make along the way.

This guide gives you specific numbers based on real project types, real technology choices, and real market rates in 2026. We build mobile apps at ELM Labs — from marketplace platforms to AI-powered diagnostic tools — so these are prices we either charge or compete against.

Key Takeaways

• A simple mobile app costs 3,000–8,000 EUR; a complex marketplace app runs 8,000–40,000 EUR
• Cross-platform (React Native) saves 30–40% vs building native iOS + Android separately
• Ongoing costs (hosting, updates, App Store fees) add 2,000–10,000 EUR/year
• The platform choice (iOS, Android, or both) is the first decision that shapes everything

Types of Mobile Apps and What They Cost

Simple Utility App

Single-purpose apps with a focused feature set. Think calculators, timers, unit converters, note-taking apps, or simple tracking tools. Limited backend requirements, usually local data storage only.

Why even a "simple" app is not cheap: A utility app might have a small feature set, but it still needs proper UI/UX design for multiple screen sizes, state management, local data persistence, App Store compliance (privacy labels, screenshots, descriptions in every language you support), and testing across devices. Apple's review process alone can add two weeks to your timeline if they reject the first submission.

Content / Media App

Apps centered around displaying and organizing content — news readers, recipe apps, fitness programs, educational content, podcast players. These typically need a backend for content management and possibly user accounts.

Key cost drivers: Content management system or admin panel, push notifications, offline mode (caching content for use without internet), media handling (image optimization, video streaming, audio playback), user accounts with favorites/bookmarks, and search/filter functionality.

Marketplace / Platform App

Two-sided platforms that connect buyers with sellers, service providers with clients, or any two groups that need to find and transact with each other. These are among the most complex apps to build because they serve multiple user types with different flows.

Why marketplaces cost significantly more: You are essentially building two or three apps in one — a buyer experience, a seller experience, and usually an admin dashboard. Each side needs its own onboarding flow, its own navigation structure, its own notification logic. Then you need the connective tissue: search and discovery, messaging between parties, booking or ordering flows, payment processing (including handling funds in escrow or split payments), reviews and ratings, and dispute resolution. The backend complexity is substantial.

IoT / Hardware-Connected App

Apps that communicate with physical devices — Bluetooth sensors, connected appliances, vehicle diagnostics adapters, industrial equipment, health monitors. These add hardware protocol complexity on top of standard app development.

The hidden complexity of hardware integration: Bluetooth Low Energy (BLE) is notoriously inconsistent across devices. The same adapter might behave differently on an iPhone 14 versus an iPhone 16. Connection management (pairing, reconnection after signal loss, handling multiple devices), data parsing from raw byte streams, and real-time data display all add significant engineering time. You also need physical devices for testing — emulators do not simulate Bluetooth accurately.

AI-Powered App

Apps that integrate machine learning models for features like image recognition, natural language processing, predictive analytics, or conversational AI. This is the fastest-growing category in 2026 and the one with the widest cost range.

What drives AI app costs: The cost depends heavily on whether you are consuming an existing AI API (OpenAI, Claude, Google Gemini) or training custom models. Using an API adds relatively modest development cost but ongoing usage fees. Training custom models requires data science expertise, training infrastructure, and significantly more time. On-device AI (Core ML, TensorFlow Lite) adds another layer — model optimization for mobile hardware, handling different device capabilities, and managing model updates.

Native vs Cross-Platform: The Most Important Technical Decision

This single decision affects your budget more than almost any other factor. Understanding the trade-offs is essential.

Native Development (Swift for iOS, Kotlin for Android)

Building separate apps for each platform using the platform's native language and tools.

Cost implication: Roughly 1.7-2x the cost of a single platform. Not exactly double because the design and business logic only need to be figured out once, but the implementation is done twice.

When native is worth it:

• Performance-critical apps. Games, video editors, camera apps, or anything that pushes the hardware.
• Hardware integration. Bluetooth, NFC, ARKit/ARCore, HealthKit — native SDKs are always more complete and stable than cross-platform bridges.
• Platform-specific features. Widgets, Shortcuts, Apple Watch/Wear OS companions, live activities.
• Design that feels truly native. If your app needs to feel like it belongs on the platform (following Apple's Human Interface Guidelines or Google's Material Design exactly), native is the way.

Cross-Platform Development (React Native, Flutter)

Building one codebase that compiles to both iOS and Android.

Cost implication: Roughly 60-70% the cost of building two native apps. You save on implementation but add complexity in other areas.

When cross-platform makes sense:

• Budget-constrained projects that need to reach both platforms.
• Content-driven apps where the core experience is displaying information, not interacting with hardware.
• Rapid iteration. One codebase means one set of changes, one set of tests, one deployment pipeline.
• Teams with web development backgrounds. React Native leverages JavaScript/TypeScript skills your team may already have.

When cross-platform causes problems:

• Bluetooth and hardware protocols work inconsistently through bridges
• Platform-specific UI patterns (bottom sheets on iOS, navigation drawers on Android) require custom handling
• Performance overhead for animation-heavy or computation-heavy features
• Dependency on third-party maintainers for critical native modules

React Native vs Flutter: A Quick Comparison

At ELM Labs, we use React Native for cross-platform projects (like Xyste) and Swift for iOS-native projects (like OBD2 App and OnePilot). The choice is always driven by the project's technical requirements, not by what is convenient for us. You can see each of these shipped apps in our portfolio.

iOS vs Android vs Both: Cost Implications

iOS Only

Typical premium over base cost: None (this is usually the base). Why start with iOS:

• Higher revenue per user (iOS users spend more on apps and in-app purchases)
• More consistent hardware (fewer device configurations to test)
• Faster review and approval process (usually)
• Dominant in Western European and North American markets

Android Only

Typical premium over base cost: 10-20% more than iOS for the same features, due to device fragmentation. Why start with Android:

• Larger global market share (especially outside Western Europe)
• More flexibility in distribution (sideloading, alternative app stores)
• Faster review process (usually same-day)
• Required for certain markets (Africa, South Asia, Eastern Europe)

Both Platforms

Cost multiplier:

• Native (two separate apps): 1.7-2x the single-platform cost
• Cross-platform (one codebase): 1.2-1.4x the single-platform cost

Our recommendation: Unless you have a specific reason to be on both platforms from day one, launch on one platform first, validate your product, then expand. For most European B2C apps, start with iOS. For global reach or developing markets, start with Android.

What Drives Mobile App Costs

UI/UX Complexity

The interface is typically 30-40% of the total app development cost. A clean, standard interface with familiar patterns costs less than a highly custom design with complex animations.

Standard UI (lower cost):

• Tab bar navigation
• Standard list/grid layouts
• System fonts and colors
• Platform-standard forms and inputs

Custom UI (higher cost):

• Custom navigation patterns
• Animated transitions between screens
• Custom-drawn components
• Gesture-based interactions
• Dark mode support with custom themes

Price impact: A standard UI might cost 5,000 to 12,000 EUR to design and implement. A fully custom UI for the same app might cost 15,000 to 30,000 EUR.

Backend Infrastructure

Most apps need a server to store data, handle authentication, process payments, and send notifications. The backend can represent 30-50% of the total project cost.

At ELM Labs, we use Supabase for most new projects. It provides PostgreSQL database, authentication, real-time subscriptions, storage, and edge functions out of the box. This dramatically reduces backend development time compared to building everything from scratch — savings that we pass directly to clients.

Real-Time Features

Chat, live notifications, location tracking, collaborative editing — any feature that requires instant data synchronization between devices adds significant complexity.

Typical cost addition: 5,000 to 20,000 EUR depending on the type and scale of real-time features.

Why it costs more: Real-time features require WebSocket connections, conflict resolution logic (what happens when two users edit the same thing simultaneously?), efficient data synchronization (sending only the delta, not the full state), and robust handling of disconnections and reconnections.

Authentication and User Management

Every app with user accounts needs authentication. The cost depends on the complexity:

• Basic email/password: 2,000 - 4,000 EUR
• Social login (Apple, Google, Facebook): 3,000 - 6,000 EUR
• Multi-factor authentication: 4,000 - 8,000 EUR
• Role-based access (admin, user, moderator): 5,000 - 10,000 EUR
• Enterprise SSO (SAML, OIDC): 8,000 - 15,000 EUR

Payment Processing

Accepting payments in-app adds development time, compliance requirements, and ongoing fees:

• One-time purchases: 3,000 - 6,000 EUR to implement
• Subscriptions (App Store/Play Store billing): 5,000 - 12,000 EUR to implement
• Marketplace payments (Stripe Connect): 8,000 - 18,000 EUR to implement
• Ongoing fees: Apple and Google take 15-30% of in-app purchases. Stripe charges 1.5-2.9% + fixed fee per transaction.

Third-Party Integrations

Each external service your app connects to adds development and testing time:

• Maps (Apple Maps, Google Maps): 2,000 - 5,000 EUR
• Analytics (Mixpanel, Amplitude): 1,000 - 3,000 EUR
• Push notifications (APNs, FCM): 2,000 - 4,000 EUR
• Cloud storage (S3, Supabase Storage): 1,500 - 4,000 EUR
• Custom API integration: 2,000 - 8,000+ EUR per integration

Ongoing Costs Nobody Tells You About

Building the app is only the beginning. Here is what you will spend every year after launch:

App Store Fees

• Apple Developer Program: 99 USD/year (required to publish on the App Store)
• Google Play Developer: 25 USD one-time fee
• Apple/Google commission: 15-30% of all in-app purchases and subscriptions

Server and Infrastructure Costs

These are rough estimates and depend heavily on your architecture. A well-architected app using Supabase can serve 10,000 users for under 100 EUR/month. A poorly architected app on AWS can cost 10x that.

Maintenance and Bug Fixes (2,000 - 12,000 EUR/year)

After launch, you will discover bugs your testing missed, receive user feedback that requires changes, and need to fix crashes reported through your analytics. Budget 10-20% of your initial development cost per year for maintenance.

OS Version Updates (3,000 - 10,000 EUR/year)

Apple releases a new iOS version every September. Google releases new Android versions annually. Each major OS update can break existing functionality:

• Deprecated APIs that your app relies on stop working
• New permission requirements that must be adopted (privacy, location, notifications)
• Design guideline changes that make your app look outdated
• New screen sizes (foldables, new iPhone sizes) that need testing

If you skip updates, your app will eventually be rejected from the App Store or start crashing on newer devices. This is not optional maintenance — it is survival.

Feature Updates (Variable)

Users expect apps to improve over time. Competitors release new features. Market conditions change. Budget for at least 2-4 feature updates per year to keep your app relevant.

Real Examples from ELM Labs

Xyste — Two-Sided Marketplace

What it is: A wedding marketplace connecting couples with vendors. Two-sided platform with discovery, messaging, booking, and subscription monetization.

Technical decisions:

• React Native + Expo — Cross-platform was the right call here. The app is content-driven (browsing vendor profiles, reading reviews, messaging). There is no hardware integration or performance-critical feature that would justify building two native apps.
• Supabase for the backend — PostgreSQL for structured data (vendors, bookings, subscriptions), real-time for messaging, Row Level Security for data isolation between users, Edge Functions for business logic.
• Three subscription tiers (4.99 EUR - 119.99 EUR/month) — Implementing tiered subscriptions with App Store billing adds significant complexity. Each tier unlocks different features, which means role-based access throughout the entire app.

Key metrics: 3 subscription tiers, cross-platform (iOS and Android from a single codebase), submitted to the App Store.

Why marketplace apps are expensive: The discovery algorithm alone (how do couples find the right vendor?) requires search, filtering, sorting by relevance, and handling edge cases like vendors with no reviews yet. The messaging system needs read receipts, notification handling (even when the app is closed), and conversation management. The booking flow needs calendar integration, availability management, and confirmation workflows. Each of these is a project within the project.

OBD2 AI Diagnostics — Hardware + AI

What it is: A car diagnostic app that connects to a 20 EUR OBD-II Bluetooth adapter, reads vehicle sensor data, and uses an LLM to explain faults in plain language.

Technical decisions:

• Swift (native iOS) — This was non-negotiable. Bluetooth Low Energy communication with automotive hardware requires rock-solid native performance. Cross-platform Bluetooth bridges are unreliable for this level of hardware interaction.
• Python backend for the AI layer — The LLM needs context about 19,027 vehicle configurations and 24,169 diagnostic codes. This context window management happens server-side.
• Custom data pipeline — Automotive diagnostic data is messy. Different manufacturers use different code definitions, different sensor units, different communication protocols. Normalizing all of this into a format the AI can reason about was a significant engineering effort.

Key metrics: 19,027 vehicles supported, 24,169 diagnostic signals, AI-powered fault explanation.

Why hardware integration is hard: The app needs to discover nearby Bluetooth devices, filter for OBD-II adapters, establish a connection, negotiate the communication protocol (there are multiple OBD-II protocols — ISO 9141, KWP2000, CAN), send diagnostic requests in the correct format, parse the raw byte responses, convert them to human-readable values, and handle all the edge cases (connection drops, incompatible adapters, vehicles that do not respond to certain queries). Testing requires physical access to different vehicle models.

OnePilot — Mobile IDE with AI Agents

What it is: A mobile app that connects to remote development machines and runs AI-powered coding sessions from an iPhone. SSH tunneling, terminal emulation, file browsing, and multi-model AI conversations.

Technical decisions:

• SwiftUI (native iOS) — The app has 49 views and requires deep platform integration: custom keyboard handling for the terminal, SSH protocol implementation, Tailscale network discovery, and rich text rendering for AI conversations with code blocks, diffs, and images.
• SSH + WebSocket for connectivity — The app establishes SSH connections to remote machines and communicates with AI agents through WebSocket for real-time session updates.
• Custom terminal emulator — Building a terminal that works well on a phone screen, with a custom mobile keypad for special characters (Ctrl, Tab, Escape, arrow keys), is a substantial UI engineering challenge.

Key metrics: 49 SwiftUI views, SSH + Tailscale networking, multi-model AI support.

Why this type of app pushes costs higher: Every feature in OnePilot is technically demanding. The terminal emulator needs to handle ANSI escape codes, cursor positioning, color rendering, and scrollback buffers. The file browser needs to work over SSH, handling network latency gracefully. The AI conversation view renders markdown, code blocks with syntax highlighting, file diffs with inline editing, and images — all in a performant scrolling list. Session persistence means all of this state must be serialized and restored across app launches.

How to Get the Best Value for Your App Budget

Start with an MVP

The single most effective way to control costs is to build less. Not a worse version — a focused version.

Define the one thing your app must do well to prove its value. Build that first. Everything else goes on a "version 2" list. A focused MVP typically costs 40-60% less than a full-featured first version, and it gets to market months earlier.

Choose the Right Technology

Do not let a developer choose the technology based on what they know. Choose based on what your project needs:

• Need both platforms on a budget? React Native or Flutter.
• Need hardware integration? Native (Swift/Kotlin).
• Need to move fast with a small backend? Supabase or Firebase.
• Need complex business logic server-side? Custom backend.

The wrong technology choice can add 30-50% to your total cost through workarounds, performance fixes, and eventual rewrites. If you are weighing a mobile app against a website, we break down website development costs in a separate guide.

Budget for the Full Lifecycle

Do not spend your entire budget on version 1. A realistic allocation:

• Initial development: 60-70% of year-one budget
• Post-launch fixes and improvements: 15-20%
• Infrastructure and fees: 5-10%
• Marketing and user acquisition: 10-20%

An app that nobody uses is more expensive than an app that was never built, because you have spent the money and gained nothing. Budget for getting users, not just building features.

Summary: Mobile App Costs in 2026

Add 5,000 to 15,000 EUR per year for maintenance, OS updates, server costs, and App Store fees.

Cross-platform (React Native/Flutter) saves roughly 30-40% compared to building two native apps, but is not suitable for every project.

Let Us Scope Your App — Free Call, No Obligation

App development is too expensive to get wrong. A 30-minute scoping call with our team can save you months of wasted development time and tens of thousands of euros in wrong technical decisions.

What we cover on the call:

1. Your app idea and target users (10 minutes)
2. Technical feasibility and recommended approach — native vs cross-platform, backend architecture, third-party services (10 minutes)
3. Rough timeline and budget range so you know what to expect (10 minutes)

You will leave with a clear understanding of what your app will cost, how long it will take, and what technical approach makes sense. No sales pitch, no pressure, no follow-up calls you did not ask for.

At ELM Labs, we have shipped marketplace apps to the App Store, built AI-powered diagnostic tools that talk to hardware, and created mobile IDEs with 49 views and real-time networking. We know what these things cost because we build them. Tell us about your project and we will scope it for free.