With over 3.2 billion smartphone users across the world, it’s no surprise that the mobile app industry is thriving. App usage and smartphone penetration are still growing at a steady rate, without any signs of slowing down in the foreseeable future.
Now factor in the 1.14 billion tablet users worldwide, which a number that’s grown about 36% over the past six years.
Key Mobile App Statistics
According to Statista:
- There are more than 2.56 billion apps available on the Google PlayStore.
- The number of apps available on the Apple Store is more than 1.85 million.
- Users downloaded more than 24.3 billion apps from Google PlayStore.
- 21% of millennial access an app more than 50 times in a day.
- An average smartphone user uses approximately 30 apps each month.
- The total number of smartphone users is expected to grow by 700 million in the next few years.
Every company that wants to sell, assist, provide service, or offer information is into making their apps accessible to the customers. It is true that a well engaging and standout business app will enhance branding and retain customers.
Now, when you start building a mobile application, the first question that comes to mind is: What technologies should be used to make your app a chartbuster on the Playstore or App Store? The right technology stack also makes your app 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 Mobile App Development | Recommended
Flutter, an open-source mobile app development SDK, is created by Google. It is used for creating high-quality, cross-platform native interfaces for both iOS and Android platforms. It is the new trending cross-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 this, some applications that are developed using Java are SeeWeather, the 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 apps.
Popular apps like YouTube, Instagram, Pinterest, and SurveyMonkey are all built-in Python
Swift is multi-paradigm programming language developed by Apple Inc. If you want to develop something for apple operating systems such as iOS, macOS, watchOS, tvOS, Linux and z/OS, etc., Swift is the right language to start coding for building the app.
Swift can also be maintained easily by minimal coding for delivering advanced features. Likewise, Swift is the latest trend iOS app development. It’s also designed for seamless compatibility with Cocoa and Objective-C.
Apps like Lyft, LinkedIn, and Hipmunk are some of the apps developed and upgraded in 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 general purpose, free, open source, statically typed “pragmatic” programming language initially designed for the JVM (Java Virtual Machine) and Android that combines object-oriented and functional programming features. It is focused on interoperability, safety, clarity, and tooling support.
Apps written in Kotlin are Pinterest, Trello, Evernote, Coursera, and many more.
# R Programming
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 built-in libraries and frameworks that can help you develop powerful Machine Learning algorithms. Data analysis with R is done in a series of steps; programming, transforming, discovering, modeling and communicate the results.
R possesses an extensive catalog of statistical and graphical methods. It includes machine learning algorithms, linear regression, time series, statistical inference to name a few. Most of the R libraries are written in R, but for heavy computational tasks, C, C++ and Fortran codes are preferred.
R is not only entrusted by academic, but many large companies also use R programming language, including Uber, Google, Airbnb, Facebook and so on.
Importance of knowing the technologies used in mobile app development
As a business owner you must have some knowledge of whattechnologies are used in developing your app. It helps you have a better understanding of what works and what is outdated. Talk to your mobile app devlopment company and insist that they give you a run down of what are been used to build your app.
We at Appscrip believe that our clients are wise enough to want to know what our processes are and how we build them. Speak with us for a brief 15 minutes of FREE consultation and you will know better.