In 2018, Grio founder Doug Kadlecek wrote a blog titled “How Much Does It Cost to Build a Mobile App?” As we approach 2025, many of the aspects that influence the cost of app development remain the same as they were in 2018, with one very notable exception: artificial intelligence.
In this blog post, we’ll break down the aspects that influence the cost of app development and explore how AI helps developers construct custom mobile apps for less money.
Factors influencing the cost of developing mobile applications
As Doug discusses on his blog, many aspects influence the cost of developing a mobile app. The most influential aspects include:
Factor 1: Concept complexity
While it could take a single developer just a couple of days to create easy applications, complex applications can take large teams of developers months to finish. Elements that may impact app complexity include targeting iOS and Android, supporting multiple screen sizes, supporting the concept of unique users, enabling users to save lots of and share data or sync data between devices, or providing offline access.
Factor 2: Developer
Whether you do the work yourself, hire an independent contractor, or work with a development company, this may impact the cost of development. However, the most cost-effective solution shall be different for every mobile application. Therefore, before selecting a mobile app solution, it can be crucial to have a look at the benefits and drawbacks of each of them.
Factor 3: Vision
Regardless of the complexity of the application and the development option chosen, one of the surest ways to extend costs is to alter the vision halfway through. At Grio, we invest heavily in scoping and project definition at the starting of every recent enterprise to be sure that everyone, including our clients, clearly understands the project vision, goals and milestones.
AI factor
Since 2018, artificial intelligence has drastically modified the world of mobile app development. However, merely writing “let’s use artificial intelligence” in the development plan just isn’t enough to ensure savings. During the development stage, it can be crucial to choose how and where to make use of AI to maximise efficiency and reduce prices.
While each application is undoubtedly different, some of the best places to think about using AI include:
Code generation
In traditional software development, developers must write every line of code for a mobile application. However, with the help of AI tools, the coding process may be partially automated. AI assistants can analyze code because it is being written and recommend future lines or create entire code segments based on developer input. Automating repetitive tasks equivalent to code development can positively impact each time-to-market and development costs.
However, while this level of automation could seem unnecessary, a talented developer is definitely essential to ensure time and cost savings. With AI automation, a developer’s ability to create effective tooltips, review code, and interact with the AI assistant becomes paramount.
Quality assurance
Quality assurancethe process of testing applications to discover problems and implement improvements is a time-consuming and infrequently expensive element of the development cycle. Rigorous testing is normally done manually to make sure the quality of the app before it’s released to the market.
However, AI-powered tools may also help QA and DevOps teams automate large sections of the testing process, including:
- Creating and conducting QA tests
- Identification of errors
- Fixing bugs
At Grio, our QA experts find modern ways to include AI into each of our six QA keys so we may also help our customers bring applications to market faster and reduce QA costs.
Location
As globalization connects our world, app localization becomes increasingly vital. The ability to make your app available to multiple communities around the world increases your reach and potential user base. However, adapting the language and appearance to every recent group of users may be expensive.
Artificial intelligence can speed up the localization process in some ways:
- AI translation software can quickly translate your app into multiple languages
- Artificial intelligence can analyze user behavior and supply recommendations for updating the application to make it attractive to recent groups of users.
- Design updates, equivalent to moving text from landscape to portrait orientation, may be automated using AI.
Cost and time savings due to artificial intelligence make location a more achievable goal for firms with smaller budgets.
Real-time evaluation for CI/CD and maintenance
Once your app is released, your work is not done yet. WITH continuous integration and continuous deployment (CI/CD)you’ll be able to further analyze user needs and update the app to satisfy them.
Artificial intelligence makes this process easier and more profitable. Artificial intelligence can assist you to analyze data collected out of your applications in real time, enabling you to satisfy user needs as they arise to extend customer loyalty and user experience. It also permits you to discover problems before they turn into serious, saving you money on app maintenance and maintenance.
Abstract
Many aspects influence app development costs, including your vision for the project, the complexity of the app, and the development framework you select. When planning application development, it’s value taking a have a look at tools equivalent to artificial intelligence that may be effectively implemented to cut back costs.
At Grio, we understand the importance of working inside a budget while still creating a terrific app. Contact us today to find out how our development team can leverage our many resources, including AI, to assist you to construct your next big app for less!
