How Big Data Analytics in Gaming Improves Player Experience

This blog has been updated on – June 28, 2023

Leveraging big data analytics in gaming is a thoughtful approach to enhancing the gaming experience. Most gaming businesses are increasingly making decisions based on big data analytics and insights. These gaming companies count on players’ data to emerge in the gaming industry and grow exponentially.

According to Statista, the global gaming market will surpass an annual revenue of USD 268.9 billion in 2025- up from $178 bn in 2021. Alongside Asian regions, the growth rate of the gaming sector will witness a sheer increase in North American states.

Also, the current user penetration rate in the video gaming segment is 35.2%, which will hit 39.0% by 2027.

Shooter and action-adventure games are the most popular among various genres of video games. What makes such games so popular & engaging?

Data science could be one of the reasons why developers can improve games. They use analytical data based on users’ behavior and gaming preferences to add features they will most likely choose during virtual gameplay.

Let us discover more about the role of data and gaming analytics in this blog.

Delving into Big Data in the Gaming Industry

The gaming businesses have enjoyed immense popularity in the last few years. All thanks to the rapid digitalization and diverse adoption of smartphone technology.

In the initial days, most mobile phone games required only an internet connection with a decent speed. That used to be fair enough to offer a great gaming experience.

Soon after that, the evolution of gaming introduced multiplayer games, allowing gamers to play with their friends. Later, the advent of AR/VR headsets and Metaverse technology also transformed a lot about virtual gaming.

Over time, the inclusion of video game analytics & data insights has become imperative to meet the ever-changing demands of modern gamers.

The role of big data in gaming can be understood when:

• Companies needed to procure a large amount of valuable gaming data received from various sources, such as chat features and voice-chat support.

• Game developers and companies desire to introduce exciting and unique functionalities after the detailed analysis of the data received.

There has been a massive increase in the number of free popular game apps available today. Of course, this allows several users to explore the game before purchasing it to activate the premium features.

How Does Big Data Analytics in Gaming Work?

If you still need clarification about big data, let’s briefly help you understand what it truly means in the business world.

Big data or super data is a massive amount of structured and unstructured data collected, managed, & analyzed for strategic decision-making. The intelligent system is used to generate data and identify glitches and concerns.

For example, data analytics in healthcare help hospitals to improve treatment outcomes & prevent risks. Data analytics promises the same to other industries, including gaming, financial services, manufacturing, and supply chain sectors.

Big data analytics in gaming is responsible for monitoring, tracking, and analyzing gaming data. Here are a few ways in which it gathers information.

• From user issues & reports: If there are technical issues or glitches during the game, they get stored in the log files. The gamers also have the option to report this issue.

  That allows game app developers to find out and rectify this concern immediately.

• From in-app tasks & challenges: There are specific tasks in the games that might be more difficult for the gamers to complete besides being way too easy.

  Gaming analytics makes it easier for developers to track these precise data points & make the required changes to the game. As a result, this will keep gamers hooked longer with the game.

• From recorded gaming sessions: Most games that involve the multiplayer option allow seamless interaction between different players & it gets recorded by the app. 

  That can also happen when players use the save game option. Game developers can rely on recorded sessions to analyze the players’ gaming experiences and make improvements accordingly.

• From user interactions: Big data in gaming can include millions of interactions between players.

  This gaming data is analyzed and then used by developers to make the game more interesting, unique, and realistic over time.

• From sentiment analysis data: It’s used to understand the complaints and problems that users are facing. That is what predictive maintenance means.

  The latter gets saved in the chats and voice messages by the gamers.

• From in-game user activities: Data analytics in the gaming industry facilitates the creation of a lucrative monetization strategy for game developers.

  In this case, the gaming data includes all kinds of user data, like the in-game options selected by gamers, in-app purchases, or user activities.

  Analyzing this data helps in understanding explicit user behavior. It also helps video game developers and companies to use targeted advertisements.

Involving big data in gaming is indeed a progressive approach to business success.

Gaming companies benefit immensely from using AI and ML with big data and predictive analytics. Let’s explore the advantages of big data analytics in gaming that disrupts the market and gives businesses a competitive edge.

Benefits of Gaming Data and Analytics

Gaming analytics gives insights into data that can add value to the company’s ability to deliver what gamers are fond of.

Businesses can benefit from using certain types of data analytics in gaming.

Spiking the Lucrativeness of Freemium Games

The income derived from freemium games is based on the in-app ads and the premium features purchased by the gamers.

Using the future trends of big data to increase the purchase of freemium games allows game developers & companies to make the business more profitable.

They can understand players’ patterns and behavior and make strategic decisions accordingly.

This way, big data analytics helps designers, developers, and companies to understand what will motivate players and upgrade features.

Gaming businesses can conduct big data implementation & analytics through intelligent systems to gather precise insights.

Data Analytics Technologies Make It Profitable

The integration of artificial intelligence and machine learning for data analytics has proved to be quite transformative.

AI can be used with gaming analytics to identify a player’s most intricate patterns and behavior. It analyzes the efficacy of the promoted ads beyond the work of experts.

That allows the game developers and companies to make the game supremely personalized and promote the ‘right’ advertisements. That is how Artificial intelligence transforms the gaming world with the involvement of gaming data analysts.

Enhancing the UI/UX of the Game

Gaming data incorporates the feedback that gamers leave on the in-game app. Data analytics from consumers’ feedback helps the designers tailor the game design to the gamer’s liking and preferences, which helps boost profits.

Businesses use predictive analytics and, through predicting, tracking, and measuring the gamer’s behavior, enhance the UI/UX design of the game.

Predictive analysis for risk management also aids in classifying the newer trends and futuristic needs of a game and the players.

That allows gaming companies to stay ahead of the curve by working on upcoming changes in advance. Players enjoy an uninterrupted experience while playing the game, increasing their engagement.

An Elevated Level of Engagement and Fair Play

Gaming data analytics through an intelligent system assists in studying the consumer’s patterns and behavior at a deeper level.

The design team can recognize which parts of the game are gaining popularity and which parts can be excluded in the next level. In this way, they can implement the latest design trends & techniques with the help of gaming analytics insights.

They even work on decreasing or increasing the difficulty of a specific level to ensure players are hooked longer.

Cheat detection is another fantastic benefit of analyzing data in video games through various big data management practices. Gaming businesses have counteracted insincere practices to ensure fair play.

Gaming data and analytics have become transformative tools in the gaming industry. It helps companies to strengthen their strategies and make better decisions.

Encouraging the Sense of Professional Gaming

Top business data analytics tools can benefit users from diverse backgrounds and professionals. Even expert gamers depend on big data to record, rewatch, and analyze their gaming performance back and forth.

The global community of online gamers has been deploying data analytics solutions to find areas of improvement for bettering their gaming outcomes.

Top Features of Video Game Data Analytics

Analyzing data is about more than just reading user reviews and noting gaming preferences. Integrating cutting-edge solutions for data science in gaming will present a filtered report on various gameplay analytics.

Check out some prominent features of our big data solutions for gaming analytics:

Key Metrics Analysis

It will involve a gaming data analyst prioritizing core gaming elements for further monitoring.

The selection of each gaming component kept as a priority is based on game genre, monetization model, and other functionalities of the gaming app.

Organized Data Integrity

It asks for the role of a data scientist to sort and analyze identified issues from recorded insights.

Analysts will examine the collection of datasets in a data warehouse to learn the real cause of the issues. That will play a crucial role in future developments in video games.

Creating And Monitoring Events

That will again take efforts from experts to analyze in-game challenges and events to engage players. With this feature of advanced gaming analytics, companies can track the success of their in-app campaigns based on monetization.

Get a clear picture of our data analytics solutions in the Gearbox case study.

Insightful & Understandable Data-driven Reports

Data analysts will depict the system-generated reports and share their findings with marketers, game designers, developers, and producers with the perks of big data in sales & marketing.

Step Into the World of Data-driven Gaming with Industry Experts at BluEnt

Aiming to stay in the gaming industry for the long run? If yes, you need to use all the available resources, information, and tools to their fullest potential to stay ahead of the curve.

Big data analytics in gaming is becoming one of the most transformative implements easily accessible to every gaming brand.

The successful process for good gaming app development and enhancement involves unified collaboration, accurate gaming data, creativity, & regulated planning. Besides getting a well-versed game developer, a gaming enterprise must hire a reputed data and business solutions provider, i.e., BluEnt, to succeed.

If you want to develop an excellent gaming app, BluEnt’s app development and analytics expertise are at the forefront of global standards.

Talk to our experts to know more about how big data analytics services can transform your business and meet your unique project requirements.

You can browse our portfolio to learn more about our app development services, data analytics services, and data insights solutions. 

Ready to disrupt the market and build a great customer experience with app development and data analytics in the gaming industry? Contact us now!

Frequently Asked Questions

How can big data analytics in gaming help companies make money?

Gaming analytics goes well with two revenue models: video games-in-app purchases and in-app advertisements.

With free-to-play usability, players can explore and engage with a game conveniently besides paying for additional features. They will spend on premium parts only if they like a free game. 

The role of data science in game development comes in when developers analyze and identify user behavior and gaming patterns to improve the existing game app version. By doing so, they find out the pain points of players while interacting with a game and strategize to motivate them to get paid subscriptions.

What is the role of predictive analytics in big data gaming?

There are several use cases of predictive analytics in gaming, and here are a few of them:

• For determining critical points of improvement, it may be worth game optimization.

• For defining design algorithms to boost user activity & engagement to a game.

• For discovering ways to monetize a game based on user behavior predictions.

• For initiating personalized marketing campaigns that match users’ queries or what they’re looking for