Mobile App Development Trends

As smartphones get better every year, the software development industry is evolving with it, becoming bigger and faster due to new technology solutions such as 5G and edge computing, as well as changing attitudes toward apps in general.

In this article, we will discuss the latest trends in the mobile app development world.

Instant Apps

Instant apps give the users the posibility to access content from an app without having to install it. They are intended to save users space on their device while also providing a convenient deep link to a specific function of an app. These type of apps are currently available for both iOS and Android.

Usually, developers incorporate instant apps so that users can preview a brief version before deciding whether or not to download and install the full app.

Apps for Foldable Devices

Foldable devices offer new opportunities for app development. On the same device, large and small screens provide complementary but distinct interactive experiences. Tabletop posture and book posture, for example, allow for creative layouts and unconventional user interfaces.

For users, a larger screen provides more room for a more detailed and immersive experience, and they can use multi-windows to perform multiple tasks at the same time.

AR and VR apps

Augmented and virtual reality apps (AR & VR) are applications that use the virtual reality – a sensory immersion experience that digitally simulates a virtual environment.

These type of apps have been part of the digital atmosphere for a long time and have become more mainstream lately in all area of interest such as: education, architectural and urban design, digital marketing and activism, engineering and robotics, entertainment, virtual communities, fine arts, healthcare and clinical therapies, heritage and archaeology, occupational safety, social science and psychology and many more.

Wearable App Integration

Wearable apps run on a watch directly, giving you access to equipment such as sensors and the GPU. These are similar to other SDK-based apps, but they differ in design and functionality.

A Wearable app function independently of a phone app, giving users the greatest flexibility in their phone selection. For this job, app developers and businesses will have to prepare apps that provide an excellent digital experience to users on Smartwatches and wearables, giving them an advantage over those who do not.

AI & Machine Learning

The advancement of Artificial Intelligence (AI) and machine learning has propelled mobile applications to new heights. Many applications use machine learning algorithms, such as Facebook, which automatically detects your face when someone uploads a photo of you.

To understand the user’s suggestions and recommendations, machine learning algorithms can predict targeted user behavior and searching patterns.

Super Apps

A super app is essentially an all-in-one provider of different services. It manages all of a user’s needs in one place, eliminating the need to download multiple apps to perform different functions.

Super apps include social networking, shopping, banking, and other services.


Blockchain is well known as being one of the best ways to secure data, whether it be a record of transactions or documents. A blockchain, like a database, stores information electronically in digital format. Blockchains are best known for their critical role in cryptocurrency systems like Bitcoin, where they keep a secure and decentralized record of transactions.

Predictive Analytics

Predictive analytics tells you everything that happens to the app and what actions to take to prevent or boost the app’s ability to delight users in the future. It removes the guesswork from every activity associated with mobile app development, which speeds up the development process.

Predictive analytics uses statistical data techniques, algorithms, and machine learning to analyze historical and current data sets and predict outcomes such as bottlenecks in the development cycle, hidden opportunities, and quality issues that may arise.

Predictive analytics can: improve personalized marketing, Increase user engagement, increase retention, simplify the trends adoption game, and reduce risk.