With over 3.2 billion smartphone users around the world, it’s no surprise that the mobile app industry is booming. Application use and smartphone penetration continue to grow at a steady rate, with no signs of slowing down for the foreseeable future.
Now take into account the 1.14 billion tablet users worldwide, a figure that has grown by around 36% over the past six years.
Key statistics for mobile applications
According to Statista:
- There is more than 2.56 billion apps available on the Google PlayStore.
- The number of applications available on the Apple Store is greater than 1.85 million.
- Users downloaded more than 24.3 billion apps from Google PlayStore.
- 21% of millennials access an app more than 50 times in one day.
- An average smartphone user uses about 30 apps each month.
- The total number of smartphone users is expected to increase by 700 million In the coming years.
Every business that wants to sell, support, provide a service or offer information must make its applications accessible to customers. It is true that a very attractive and remarkable business application will enhance the brand image and retain customers.
Now, when you start to build a mobile app, the first question that comes to your mind is: what technologies should you use to make your app a chartbuster on the Playstore or the App Store? The right technology stack also makes your application scalable and maintainable. Here in this article, we have listed the most popular mobile app development technologies.
Also read: Does your business need an app?
Technologies used in the development of mobile applications | advised
Flutter, an open source mobile application development SDK, is created by Google. It is used to build high-quality cross-platform native interfaces for iOS and Android platforms. It is the new trendy multi-platform mobile application development technology.
Some of the apps developed using Flutter are Google Ads, Reflectly, Xianyu by Alibaba, and many more.
An object-oriented programming language and an official Android development language.
Frameworks like TestNG and Log4J are developed using Java.
Besides that, some apps developed using Java are SeeWeather, VLC media player, Telegram for Android and many more.
Python is a widely accepted programming language. This language is fast, easy to use and easy to deploy. Python helps develop scalable web applications.
Popular apps like YouTube, Instagram, Pinterest, and SurveyMonkey are all built into Python
Swift is a multi-paradigm programming language developed by Apple Inc. If you want to develop something for Apple operating systems like iOS, macOS, watchOS, tvOS, Linux and z / OS etc., Swift is the right one. language to start coding. build the application.
Swift can also be maintained easily with minimal coding to provide advanced functionality. Likewise, Swift is the latest trend in iOS app development. It is also designed for seamless compatibility with Cocoa and Objective-C.
Apps like Lyft, LinkedIn and Hipmunk are some of the apps developed and upgraded to the iOS version by Swift.
# React Native
Some of the apps developed using React Native are AirBnB, Myntra, UberEats, Facebook Ads Manager, Instagram, and many more.
Kotlin is said to be the advanced version of Java. For Android developers, this language is a modern answer to obsolete Java.
Kotlin is a “pragmatic” general purpose, free, open source, statically typed programming language originally designed for the Java Virtual Machine (JVM) and Android, which combines object-oriented and functional programming features. It focuses on interoperability, safety, clarity and tool support.
Apps written in Kotlin are Pinterest, Trello, Evernote, Coursera, and many more.
Programming # R
The R programming language is one of the best languages for data analysis and machine learning. R programming is a platform independent language.
R provides excellent libraries and built-in frameworks that can help you develop powerful machine learning algorithms. Data analysis with R is done in a series of steps; program, transform, discover, model and communicate the results.
R has a large catalog of statistical and graphical methods. It includes machine learning algorithms, linear regression, time series, statistical inference to name a few. Most R libraries are written in R, but for heavy computational tasks C, C ++, and Fortran are preferred.
R is not only trusted by academics, but many large companies also use the R programming language, including Uber, Google, Airbnb, Facebook, etc.
Importance of knowing the technologies used in the development of mobile applications
As a business owner, you should have some knowledge of the technologies used to develop your application. This helps you better understand what works and what is outdated. Talk to your mobile app development company and insist that they give you an overview of what was used to build your app.
At Appscrip, we believe our customers are wise enough to want to know what our processes are and how we are building them. Talk with us for 15 minutes Free consultation and you will know better.