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About Xmas Royale
At the same time, prediction market operators are facing regulatory tussles in the US. State regulators are moving to shut down the firms under gambling laws. The companies say their contracts should be regulated at the federal level as derivatives.
However, the sector has grown substantially despite such disputes. Bernstein predicted in April that annual prediction market volume could reach $1 trillion by 2030. The research estimated volume was around $51 billion in 2025 and could grow to around $240 billion in 2026.
The partnership with Yahoo Finance wraps up as prediction markets push for broader distribution across financial media, sports, and entertainment platforms. For Polymarket, the loss of the Yahoo Finance hub is one distribution channel, but other partnerships remain intact.
About Xmas Royale
The aim is an on-demand sportsbook capable of offering the right bet to the right customer at the right time. Lamb believes Kambi’s network of more than 70 partners provides an important advantage in pursuing that goal. More than €17 billion in annual liquidity and billions of bets placed each year give its models a depth of information that can improve pricing, risk management and product development.
“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.
What is Xmas Royale?
Within this shared model, there was a clear preference for personalised interventions over generic ones.
Tailored, behaviour-triggered messages were seen as more effective than generic warnings, but many participants simultaneously expressed mistrust towards operators collecting behavioural data.
Finally, the study found that these needs and preferences varied widely by product type.
