How Are Big Data & Machine Learning Revolutionizing The Growth Of App Development?

The impact big data and machine learning have had on technology in just a few years has been significant


The usage of mobile apps is increasing every day at a high pace. There are multiple factors behind that growth, and each has its own significance. Above all, big data and machine learning are two facets that play a major role in being a force that has driven the growth of mobile app development.

Both big data and machine learning; which is a subdivision of Artificial Intelligence, are concepts that were not well known just a few years back. And now, they run the whole spectrum of app development.

However, before jumping on to any conclusions, let us have a brief understanding of what these factors are. And how, in just a few years, they have impacted and changed the outlook of app development!

Big data, machine learning & mobile app development

Big data

Starting with what big data is, let us break it into parts and understand it in the easiest way possible. Big data constitutes the data that is so huge that the traditional systems cannot occupy it. All of the information processed in big data is what users contribute every day. Be it on every social media platform, or other apps on their smartphone, the use of data is facilitated.

This data is generated and passed on by the users in the form of information.  Mobile app development companies understand & analyze that data to contemplate the choices and requirements of the users from the app.

However, it is not as easy as it sounds. Big data analytics can be a challenging process; collecting data from dynamic sources and then summarising the needs of the users is a very back-breaking task, only big data can consummate it!

Now, this analysis further defines the behavior of the users that can be used by app development companies to make customer- oriented apps.
Big data, therefore, becomes one of the primary sources in understanding the needs and wants of the customers.

Machine learning

Beginning with the most basic description, machine learning is a branch in the tree of artificial intelligence. Even though a small part, it holds a major significance in the field of app development. Tech giants and ventures like Google are opening up their pockets and gearing themselves up to accept artificial intelligence into their businesses.

There are a few industries that have been the highlights of machine learning. As of 2016, Internet of Things held a major focus of machine learning, with 11.6%. It was followed by sectors like manufacturing with 9.4% % telecommunications with 8.3%.

With the assistance of machine learning, the computers & other systems have the ability to automatically learn and improve from the experience without actually having to learn how to function. The main focus of machine learning is to develop programs that can operate and manage data on their own.

The motive was also to encourage the use of a 'personal assistant' for any user. And quite obviously, the level of personalization it brings draws a major liking point for the app amongst the users.
Also, more than just personalized experiences, machine learning brought user satisfaction into existence. Some of the major examples of artificial intelligence programs are Amazon Echo and Apple's Siri. Both of these work as an entire personal assistant, giving the user the ultimate experience.

How is machine learning affecting app development?

Machine learning has brought into effect some useful benefits for the customers that have, in turn, marked the growth of mobile apps. Check out some of the benefits:

  • Personalised experiences: With apps like Facebook providing the 'people you might know' option, users have access to information relevant to them. This inclines them towards using the app more.

    Understanding behavior of customers becomes easier: The huge amount of data that gets stored in big data is directly or indirectly related. All the information makes it easier to understand the behavior and usage patterns of the user. This further helps mobile app development companies to build apps based on that behavior.

    Benefits of features: Recognition features in machine learning like face recognition or biometric help in passing on information and at the same time, keeping it secure.
    Users don't have to remember lengthy passwords, rather they can simply use the recognition passwords and log into apps.

  • What is the future of mobile app development?

    The data that is being passed on to every user is huge, and if we accumulate it and see the entire world's data, it is beyond imagination. Every day, this number is increasing. The data is complex and the basic analytic methods aren't able to manage this complexity. This is where Machine learning comes into the scene. Since it doesn't rely on human supervision at all, enormous amounts of data handling don't become a problem.

    With the combined structure of data analytics & machine learning, enterprises will foresee a whole new level of intelligence.
    Machine learning functions with the help of the data that gets generated. This data might be in the form of pictures, videos, text, voice notes etc, broadening the spectrum of ML even more.
    Machine learning connects the system to people, businesses or even things. This has made the interaction between users and organizations even better! While this mix is making the businesses smarter, the overall efficiency and productivity of almost every industry will enhance.


    Now that we have witnessed the impact of both big data and machine learning on app development, it becomes clear that the future of technology & apps lies here. Both the concepts have completely transformed the experience of users on apps. Mixing big data and machine learning will unfold more growth opportunities in the field of technology. Also, by working together, they are bringing forth a potential which could barely be imagined a few years back.

    Even though this is not an overexaggerated thought, both these approaches are revolutionalizing the way apps are perceived. And this has happened mainly because of the level of personalization and creativity users are experiencing.


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