Video games are once again in the news. As smartphone penetration increases, users have moved to gaming apps. In addition, online gaming apps are equally popular. According to an A4E survey, revenue generated by all types of video games is more than double that generated by the film industry.
The Gartner Group estimates that the combined mobile and PC-based game industry will exceed $ 43 billion USD by 2015. Add another $ 68 billion USD for the console (Wii, etc.). And handheld video, and Gartner’s market size estimates are north of north. $ 110 billion USD. While console-based video games will still dominate, the mobile device gaming market is growing rapidly, with Gartner tracking nearly double in size over the course of three years.
Gaming industry trends
With this popularity and online activity the gaming industry provides a rewarding new space for Big Data Analytics in the same way as any other business that provides an online presence to consumers. With the Internet at the fingertips, most games capture gaming patterns and data and use it for many purposes to elevate the top-line. This gives huge scope for the use of data analytics in the data gaming industry. 275 million users, popularly known as Electronic Arts or EA, generate 50 TB of data per day. Name any analytics domain, and you’ll find it working in the gaming industry at high revs.
It is true that not all developers want to monetize through the games they develop. However, going forward, we will focus on companies that want to monetize their game through a viable business model.
Emerging customer base – The number of gamers is increasing, with the maximum share of the pie residing in the US. Running the right content on the right screen will be the key to success. Mapping these opportunities is one of the key capabilities of Big Data Analytics
Big data analytics.
Changing the landscape of games –
With the increasing penetration of smartphones and the Internet, gaming companies need to enhance their games by creating immersive experiences across all screens of consumption. AR and VR devices are gaining market;
Developers are encouraging consumers to provide experiences that enhance the virtual experience. Another factor in the development of innovative games are the film and television companies that make their content more interactive, gaming companies cannot ignore the same. Gaming companies are looking at analytics to align their strategies to consumer preferences at 360 degrees.
Digital delivery –
The widespread availability of high-speed Internet has changed our daily lives greatly and includes how we play games. The physical distribution of video games globally has decreased significantly. Digital technology has become a norm for platforms and personal gaming experiences. Digital delivery helps gaming companies to capture data on many parameters such as gaming parameters, brainstorm patterns, recommendations and more.
Analytics needed in the gaming industry
Games have become more and more used to entertain children and adults,
with connected devices and apps, and with the rise of social networking sites. A powerful application of big data lies in the gaming industry, where game logs accumulate vast streams of data as the gaming field grows and spreads to consoles, PCs, and mobiles.
BigData here encompasses all the interactions and transactions that gamers create, ready to analyze streams of pure data. Unlike other industries, the challenge does not lie in data collection; This lies in how to best use it. Game developers, market researchers and analysts in their field, use analytics to understand consumer behavior, demographics, and cause-and-effect trends in both games and sales.
Large amounts of data
The humble data captured per session of any game helps designers understand which aspects / features of their game keep players connected to the game. Big data enables them to analyze their game cycle and 360-degree customer attitudes to design and thereby help improve those aspects for customer retention and fuel engagement.
Therefore, to become a game destination for such players, mining relevant data from past records of huge data sessions is the key to understanding what data game design will work best for players of all categories. Permutations and combinations for this are inexhaustible. This is where data analytics helps players to draw conclusions based on player interactions and adjust all players within their design to enhance the landscape of their game.
Increase processing power
When it comes to gaming metrics, hundreds of people can track. At the simple end of the spectrum are metrics such as downloads, sessions, and DAU (Daily Active Users). These metrics are very straightforward and can be used to measure concrete actions.