How Big Data Analytics is Driving VR Gaming? - Tips&Tricks

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Wednesday, 4 October 2017

How Big Data Analytics is Driving VR Gaming?

Digital Gaming is one of the most rapidly growing forms of entertainment today. The arrival of smart phones and increasing penetration of high-speed Internet services across the globe has especially played a vital role in providing the sector with the much-needed boost. The latest game-changer in the arena, though, is Virtual Reality or 'VR', a comparatively recent technology that puts the gamer right in the 3D game perspective with the help of a vision gear. According to industry expert suggestions, the global VR/AR market will reach the figure of $108 billion by 2021, out of which Augmented Reality or AR will account for $83 billion and VR will account for $25 billion.

How Big Data Analytics is Driving VR Gaming?

Add the potential of Big Data, touted as the biggest thing to have happened to the business world in recent years, to the extraordinary power of VR gaming, and what you get is nothing less than a world of endless possibilities for the gaming industry. Experts suggest over 2 billion gamers worldwide produce around 50 Tb of data, while 1Tb of data is generated from in-game telemetry every day. Similarly, social games alone produce around 150Gb of data on an average day. Let us have a look as to how is this big difference going to be made. 

Before Going Further..

VR Gaming means Huge Data

VR Gaming inherently consumes and produces a lot of data. The 3D architecture and design pertaining to both VR game design and gameplay involve a huge amount of data exchange and consumption. Every single activity, every single move of a VR gamer within a game play generates user data with respect to a large number of variables.
 For example, a VR gamer playing a WWII based multi-player combat game through his VR console is busy fighting the German Army at the Normandy beaches, is generating multiple streams of data involving his movements in the 3D environment, choices of weapons, strike rate, level of proficiency and comparative performance with respect to other co-players. All this data is consistently transferred to the game servers and accumulated in databases to generate a huge data bank. Further, this data may be analyzed with the help of analytics solutions to drive useful insights off the same and may also be used by the game developers to improve the gameplay for the users.

How Big Data Analytics is Driving VR Gaming?

Big Data for Marketing Analysis through VR Gaming

While immersed into VR gaming, an avid gamer crosses many stages and accomplishes multiple missions; at the same time telling a lot of his possible choices and interests according to his profile details. There are many spots inside the gameplay where virtual hoardings and posters may be installed for in-game advertising purposes.
For example, if a 20-something college going girl from New York is playing her favourite VR game, those spots may be populated with products that may be possible more relevant to her, such as a cosmetics, lingerie or women's fashion brand. The huge set of game profile information accumulated upon the game servers may be analyzed to obtain a clear picture of the user database, and carry out the marketing initiatives accordingly to make the maximum benefit out of these opportunities.

Enhancing VR Gaming User Engagement with Big Data 

The nature of VR Gaming makes it more interactive and participatory for the users. They are provided with a life-like 3D environment wherein they are able to see objects and carry out desired operations upon them to successfully complete a task, objective or mission. Game design theories suggest that the user engagement varies from stage to stage, and if the graph of complexity in the gameplay doesn't confirm to a smooth and gradual curve, chances are an average gamer will leave the game after a few stages.
 For example, if a VR gamer is playing a speed racing game using his VR console for the first time, it is very important for a few initial game stages to be extremely easy and convenient for him to register wins and gain a certain level of confidence to make a foray into further stages. Analyzing the big data generated by a vast number of VR gamers playing their favourite games across the globe, these engagement patterns may be observed and decoded into actionable insights in quite an accurate and precise manner, helping the game developers a great deal in understanding the average gamer behaviour.

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About the Author 

Shantanu Chaturvedi is director of technology at Stepout Solutions. Visualr, a data visualization tool by Stepout Solutions helps in exploring business insights by converting data into information. You can connect with him on LinkedIn to know more about his work. 


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