Competitions based on artificial intelligence are simulations of sports events in which teams, players, and even things that happen during games are created and controlled by AI. In these matches, real statistics from previous meetings are used.
Popular entertainment formats:
Today, competitions based on artificial intelligence are not just an addition to traditional gambling but a new niche with its rules, audience, and business models. It combines eSports betting, forecasting, modern technologies, and a social aspect.
In the next 3–5 years, experts predict the active development of startups in the field of AI matches. The highest growth is expected in countries with progressive legislation in the field of online and cyber entertainment.
Let us consider what components are necessary for creating a betting platform:
It is used to visualise matches and model the behaviour of players.
The most popular solutions include:
It is responsible for generating events, actions, and match outcomes.
Key elements of AI:
They are used to create realistic broadcasts and immersive UX interfaces:
Manufacturers will need computers that allow them to generate contests and videos in real time. It is also necessary to connect software for streaming broadcasts without delays or failures.
Built-in databases are responsible for client statistics, behaviour patterns, and betting history. If entrepreneurs manage huge amounts of details, then they cannot do without diverse collections of information.
This market is growing rapidly, and this is no coincidence. Competitions with artificial intelligence elements provide an authentic user experience, are highly safe, and offer new monetisation formats.
Traditional sporting events depend on the calendar, weather, participants’ injuries, geopolitics, and other factors. AI events are not characterised by seasonality and technical breaks. They can be launched at any time and in any configuration, for example, every 5 minutes.
The endless volume of contests provides a continuous flow of bids. People bet on the outcomes and intermediate results of games, the difference between points, or the most successful athletes. All this increases the retention rate and LTV indicators.
Gamblers do not always want to wait for the end of a 90-minute football meeting and lose interest already at the beginning of it. AI tournaments can be compressed to 3–5 minutes, which maintains the level of the audience’s engagement and includes instant determination of results.
High intensity of sporting events provide:
AI tournaments do not have costs associated with rent, logistics, judges, athletes, or buying rights to broadcast games. Holders of the competition and owners of iGaming startups can optimise expenditures since they steam the event, accept bids, and pay out prizes.
Conducting AI competitions guarantees:
Artificial intelligence makes it possible not only to copy existing sports but also to invent new ones. This is football with 3 balls, fantasy wrestling, neon racing, and other unusual disciplines.
Key benefits of organising AI contests:
In traditional sports, there are fixed matches, referee errors, and bias. AI matches are free of any manipulation, which ensures fair play and results.
Models based on artificial intelligence are completely transparent and can be verified at any time, which also increases the level of the audience’s trust.
AI sports tournaments can be easily integrated with many modern formats:
Combining with popular entertainment formats helps operators to increase ARPU (Average Revenue Per User) and GGR (Gross Gaming Revenue) indicators. It is also possible to develop social gambling — a community around AI events.
Entrepreneurs do not need to obtain licences for broadcasting artificial intelligence-based content. This speeds up the launch of AI tournaments in countries with restrictions on bookmaking or eSports betting. Project owners only need to take care of the technological framework of their startups and come up with a corporate style.
Experts predict that in the next 5–7 years, the market may grow 5–10 times. This sports segment will become a separate business vertical along with traditional and eSports bids.
The main factors of the rapid development:
Let us consider the key tendencies in the AI industry.
Soon, video broadcasts of matches organised by artificial intelligence will appear, supplemented with commentary, graphics, and interested viewers. “Virtual sports clubs” may also develop. There, the main players will be neural network characters with a biography, history, as well as a huge fan base.
For example, it is possible to create a virtual Premier League with 20 clubs. Each of them will have its philosophy, history, and legendary athletes.
Spectators will be able to attend matches through virtual or augmented reality spaces. They will place bets while in a fictional stadium and interact with other players, participants, or digital fans. It is expected that even interference in matches, such as sudden weather changes, becomes virtual.
One of the most anticipated innovations is the independent choice of scenarios, the appearance of teams, historical eras, and locations for meetings. Bids will also be adapted to the individual style of gamblers.
Customers will be able to independently generate matches, for example, “Argentina 1986 vs France 2022”, and see how legendary athletes from different eras compete with each other.
Among the main changes, it is worth highlighting the following features:
Next-generation UX interfaces will be automatically generated or changed during matches, based on previous requests and the person’s gaming experience. People will watch, participate, make deposits, and earn on AI tournaments using just one compact application.
An expected change is the sponsorship of digital teams, tournaments, and leagues by top sports clubs. Crossovers with real clubs will also be especially in demand, for example, “Virtual Barcelona vs Real Barcelona (AI vs IRL)”.
The growing popularity of contests based on artificial intelligence will lead to the emergence of new professions:
Key aspects that operators should take into account:
From us, you can order the following useful solutions:
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