Nowadays, Artificial Intelligence (AI) is one of the technologies that are being actively developed and widely integrated into software solutions of different types. The capabilities of AI are really impressive which can explain all the hype around it.

Though a new wave of users’ interest in this tech began with the introduction of ChatGPT in November 2022, we should admit that the history of AI-powered tools and features started some years earlier. Today we can see the growing number of AI startups as well as observe the world’s tech giants like Meta and Microsoft competing for leadership in this market. All this can be viewed as a very powerful booster for innovations and AI tech progress.

There are a lot of possibilities to integrate artificial intelligence and machine learning tools into your mobile applications built for different industries and target audiences. You can analyze the benefits of these technologies on the example of Cogniteq apps, as well as products delivered by other companies.

Let’s take a closer look at the AI use cases in mobile app development.

Virtual assistants

Speech-to-text, text-to-speech, as well as speech and voice recognition tools, can become real game-changers for apps of various types. They can allow users to interact with your application without the necessity to make any clicks or taps, or read texts and perform different tasks on their own.

This functionality can help to save a lot of time and to carry out various processes in parallel. For example, while driving or cooking a user can get the required information without even taking a smartphone. Moreover, such features can be externally helpful for people with vision impairments or other disabilities. 

Already today there are startups that are working on the development of AI-powered e-learning apps for students with disabilities. Thanks to the help of virtual assistants, they can receive and learn huge volumes of information that previously used to be unavailable to them.

Detection of objects

Object detection is another area of the application of AI technology which is also used in the development of mobile solutions. AI and image recognition technologies can become a perfect duo for any app if its functionality is somehow related to visuals. Modern mobile apps can successfully identify various items, locations, and people based even on single elements.

Such features can be useful for applications built for numerous industries, including healthcare. For example, photos or scans of potential anomalies can be uploaded to the app and AI algorithms can process these images to provide a possible diagnosis. As a result, the step of making the correct diagnosis is not only streamlined but also enhanced as AI can demonstrate a very high level of accuracy.

It is also possible to rely on such features in the insurance industry for claim processing and underwriting.

Predictive analytics

Predictive analytics is a commonly applied feature for the AI and IoT-powered systems developed for the manufacturing industry. But today the sphere of using this functionality can be significantly wider. Such tools can be integrated into mobile apps built for such industries as finance, retail, insurance, or healthcare for getting valuable insights into user behavior.

This functionality is intended for analyzing customer behavior, defining general trends, making predictions on people’s choices and changes in preferences, and further adjusting goods and services.

AI can fully revolutionize our traditional approaches to analytics. AI algorithms can not only work with historical data but also provide predictions with excellent precision. Mobile apps enriched with such features can become an outstanding competitive advantage for businesses today as based on the received predictions, they can make better-informed and more feasible decisions.


Today one of the key business trends is the hyper-personalization of customer experiences. And this trend already has a huge influence on the development of mobile solutions. Thanks to AI, a mobile app can continuously analyze users’ interaction with the application and all the choices made by them in order to detect their personal interests and preferences. Based on the results of this analysis, your app can offer personalized experiences for each customer.

Such features can be especially relevant to those apps that are provided by retail companies and businesses that sell their services. AI will be able to create lists of personalized recommendations which can drive sales.

Instead of the final word: Key benefits of AI-powered features

So, what does AI bring to mobile apps? Among the main advantages, we should name enhanced user experience, automation of some tasks and processes, and higher efficiency. With all the new opportunities that are opened to businesses and mobile app users thanks to AI, it is not surprising that the expansion of the AI market will be going on rather quickly. Experts predict that its annual growth rate for the period from 2023 to 2030 will be over 37%. Based on this figure, we have all grounds to suppose that the impact of this technology on all industries will grow in the coming years. And it is important to take this fact into account if you are planning to build a mobile app.