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For NetEnt, now part of Evolution’s game-supply operation, Demon Beats fits a pattern. The studio tends to iterate on proven mechanical families rather than pivot into adjacent categories such as crash or instant-win formats. The Avalanche engine is a durable part of the studio’s identity, and returning to it positions Demon Beats as a portfolio continuation rather than an experiment.

The staggered rollout matters too. With early access preceding general availability, operators get a short exclusivity window before the game reaches the wider market. For an established supplier, that structure shows how NetEnt keeps leaning on brand-recognizable mechanics to stay competitive against a crowded field of content providers.

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If Bernstein’s $10 trillion prediction market turnover forecast is realized or exceeded, it’d likely prove significant in revenue terms because the research firm previously estimated that $1 trillion in yearly activity could generate as much as $10.8 billion in revenue for operators.

As has been widely documented, sports event contracts are currently the lifeblood of the prediction market industry, but Bernstein notes that won’t be the case on a permanent basis. In fact, the research firm estimates that sports derivatives’ share of industry volume will decline to 35% in 2035, indicating that the aforementioned volume increase will be led by other categories.

The research firm estimates that by 2035, financial derivatives, including event contracts linked to commodities, cryptocurrencies and stocks, will account for 49% of turnover on yes/no exchanges, topping sports to become the largest volume driver. The research firm sees event contracts tied to key performance indicators (KPIs) leading the charge.

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“The term AI is everywhere across the world of technology, and the betting and gaming industry is just one where its impact is being felt,” Lamb says. “Taking AI beyond being a buzzword, building and deploying the systems and automation necessary to maximise its potential and deliver the right results is the challenge each of these industries face.”

For Kambi, data must be combined with the knowledge of experienced traders who can direct the technology, scrutinise its output and identify where it can add value next.

“You don’t have to search high and low in this industry to find companies talking up the benefits of AI,” Lamb adds. “Realising them requires a combination of deep data and human expertise not everyone has access to, and there is no shortcut to acquiring.”