How Big Data Analysis Revolutionizes the Future of Video Games Concept?

Every time you smash a candy in Candy Crush Saga or kill bad pigs in Angry Birds, can you recollect the sense of enjoyment and euphoria? This feeling of excitement is one of the main reasons which make people addicted to mobile games.

If current estimates are to believed, the revenue from global video games industry stands at $92 billion yearly. It is indeed very interesting to note that social and casual games would form a big portion of the revenue by 2019, leaving traditional games behind. The shift is likely to be dominated by countries in the Asia Pacific region. Interestingly only a small portion of the revenue would actually come from the advertising sector in video games. Barring a few countries like UK, China and Japan, the entire revenue would still be dominated by end users.

This ever expanding world of video games is growing rapidly every day and companies are increasingly banking of Big Data technologies to know more about customer behavior so that they can optimize their revenue using advertising and other gaming experiences.

A 360 Degree Customer Experience

In the world of internet and social media platforms, companies consider the value and potential of gathering huge amount of customer centric data, from various social media platforms. When a user plays a game offline in a PlayStation or when the game is linked to a virtual network, companies get a good amount of information regarding, who plays the game, how long they play and which aspects of the game they find interesting etc. Once they have access to such information along with geographical locations, they can fine tune the game, as per the demands of the customers. 

Keeping a player hooked to the game is crucial for the company. Big Data analytics can help them to understand how they can deal with the bottlenecks. Bottlenecks may appear in various forms like very difficult initial levels, or a not so very appealing graphic user interface and likewise many other problems.

Besides increasing revenue by peeping into the usage patterns of the customers,Big Data technologyplays a very important role in optimizing the end-user experience. This technology is used to understand the average volume of players who might be logging into the game servers at a current period of time to play a game which is essential for a good end user experience.

A Customized Gaming Approach

Like any application, games too are developed to suit different hardware devices. Players, who play on a mobile phone and those who play on a PlayStation, give away different types of information.  Analyzing this information separately would give away different information. Big Data can be used under such circumstances to analysis how players play on different devices. Besides giving an idea about how a gamer behaves within the range of a particular game,Big Data tools can give away vital information regarding the likes and dislikes of a certain section of the people. Accordingly, companies can use this information to customize this game to improve the gaming experience of the users. Besides giving game companies an idea about how a consumer behaves in respect to a particular game, data metrics are also used to keep them glued to the mobile screen or consoles, so that a consumer ends up giving more clues to the company.

It is widely believed that with the current trend of people depending more and more on their mobile phones, the future of gaming would shift to cloud gaming and revenues are likely to get doubled. More and more companies are shifting their focus from conventional games to more mobile centric games. The mobile phone game industry is growing by leaps and bounds and obviously no one wishes to lose out on the scope of making a good profit. Analysis of consumer behavioral patterns becomes very important under such circumstances when billion are often put at stake.