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How Big Data is used by the online casino industry

 

Many industries around the world saw a complete shutdown during the COVID-19 pandemic. One sector fared particularly well: the online casino industry.

A 2019 survey from Statista valued the worldwide online gambling industry at $58.9 billion. The report forecasted that the online gambling market might be worth $92.9 billion by 2023.

That’s an increase of $34 billion—or 57%—in four years.

In February 2022, Yahoo released a report showing a compound annual growth rate of 11.49% for the online gambling market between 2021 and 2026.

This surge, paired with online gambling analytics, shows no signs of abating. Finding the top-notch online casinos has never been easier.

Let’s take a closer look at how the online casino industry uses big data.

 

Artificial Intelligence (AI) and Machine Learning (ML)

 

AI and machine learning have become more prevalent in the online gambling industry for various reasons. For starters, these technologies help to identify problem gamblers.

Any unusual activities spotted by AI or ML may help root out cheaters or fraudsters. This helps to reduce any negative gaming experiences.

It also boosts the integrity of the casino. Players feel safe enough to compete against other gamblers.

Algorithms adjust to new players from the beginning of creating a new account. Predictive analytics in the casino industry helps to build player profiles.

This data aggregates into redeemable player points or other bonuses and promotions. If gamblers spend a lot of time at poker tables, they might get notifications about upcoming events.

This improves the user experience. When players get updated information catered to their preferences, they feel appreciated. They will continue to spend money at an online casino that makes them feel secure.

SSL encryption software also uses AI technology to process payments. This encryption protects the transfer of any sensitive data on the casino’s website or mobile app.

Online casinos also use random number generators for slots. Casino licensing helps to remind players that these random number generators remain legit.

Some online casinos may show their slots’ return to player (RTP) percentages. This offers gamblers a chance to pick from games where they might have the best chances of winning their money back.

AI and machine learning also enhance gameplay with free spins, jackpots, etc.

 

How do casinos use big data?

 

They use it by improving the gaming experience for mobile and desktop users every step of the way.

 

Casino Marketing Analytics

 

With fierce competition among online casinos, they need to use various marketing techniques to attract new clients. Big data helps to track current trends in the industry.

Analytics also work to create a target audience over time. For example, if an online casino runs a certain promotion, they can get player information related to demographics.

Using these data analytics improves UI by showing the casino’s click-through rates. This information becomes invaluable as it reveals in real-time what new players prefer.

That data saves the casino money by identifying its target audience for future marketing campaigns.

Games may then become optimized to keep new gamblers based on favorable winning percentages.

Marketing automation comes into play for repeat customers, as well. Incentives may form around gaming preferences and gambling habits.

Data science in casinos becomes a useful tool for mastering digital marketing techniques.

Three significant branches of marketing analytics combine to form a consensus on past, current, and future campaigns.

 

Analyzing New Markets for Potential Investments

 

One of the major trends in the online casino industry comes from analyzing new markets. Data analysis is crucial when scoping out future trends for potential long-term investments.

Big data companies engage in overseas research to get a foothold in advance of capital.

Some of the industry’s top players rely on internal research in foreign markets. Other gaming institutions might partner up with third-party companies on the ground.

Surveys and industry reports provide insight into where online gambling markets may expand. Analyzing massive amounts of data from those reports steers these companies forward.

Big data remains a crucial component of how the online casino industry continues to grow.

The global online gambling market might be worth $192 billion by 2030. That’s a 250% increase from its valuation in 2020.

Big data contributes to this market expansion by making online casinos more entertaining.

AI and machine learning technologies help to create gambling platforms catered to players. User experience gets enhanced with algorithms that check gambling habits.

That data shapes bonuses and promotions.

Marketing analytics save companies time and money. Automated software helps to reach and keep new customers.

The online casino industry relies on big data to predict a future that continues to look very bright.