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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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The president of the Turkish Green Crescent Society, Associate Professor Mehmet Dinç, expanded on this point, highlighting the relationship between supply and demand in the fight against illegal betting. 

“In the fight against gambling, combating supply alone is not enough,” he said. “Combating demand alone is not enough; merely shutting down websites is not enough. This is an ecosystem: it starts with advertisements and continues through social media, sporting activities, influencers, games, mobile applications, payment systems, loans, bets, losses, debt and continued betting.” 

Kathryn covers bitesize breaking news with a primary focus on EMEA and US legislation. A proud North Walian, fluent Welsh speaker and lifelong Wrexham FC fan – long before Hollywood came calling.

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The 2026 World Cup was therefore the culmination of five years of development that had embedded AI throughout Kambi’s trading operations.

“In simple terms, what we have undertaken is a shift from machine-assisted human trading to human-assisted machine trading,” Lamb explains.

The shift means that rather than spending their time pricing and managing established markets, traders can now apply their expertise where human judgement has the greatest value, including developing and testing new products. AI removes many of the practical limits on what can be offered and priced, and manages the resulting scale and complexity. The result is greater efficiency for Kambi and a better service for its partners and their customers.