The Dog House Dice Show

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Prediction market volume could soar to $10 trillion per year by 2035, compounding at a staggering annual rate of 70%, according to new research by Bernstein analysts.

Analyst Gautam Chhugani and team are forecasting $410 billion in yes/no exchange turnover this year, implying that if the $10 trillion estimate proves accurate, it’d represent a more than twentyfold increase from the 2026 tally.

The $10 trillion forecast also implies significant growth in just five years from what previously stood as some of the most optimistic 2030 projections. In April, Bernstein estimated prediction market volume will ascend to $1 trillion by 2030 while Bank of America said prediction markets will eventually grow to $1.1 trillion in yearly turnover. A July report from Macquarie analyst Chad Beynon included a $1.5 trillion annual volume forecast by 2030.

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Spotlight said the decision to enter the gaming sphere comes as operators increasingly turn towards free-to-play games as a means of “engagement, retention, reactivation and acquisition”.

The games will include fantasy, predictor, survivor and bet builder mechanics, while racing titles will be powered by Spotlight’s Smart View Engine.

Spotlight’s B2B Growth Director Rob Brown said the deal will expand the company’s offering by combining Engage Games’ games engine with Spotlight’s data, content and global distribution network.

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“The industry has a content problem,” he says. “There are thousands of games being released and too many of them are variations of something that already exists.

“Part of the reason is economics. When games take months and significant money to develop, people naturally become risk-averse. Building on something that already works becomes the safer option.”

For Curwen, tackling the problem therefore means changing the risk-reward equation behind game creation. If creators can develop and test ideas more quickly and at significantly lower cost, an unsuccessful experiment becomes less consequential – and taking a chance on something genuinely different becomes easier to justify.