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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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Another report, commisisoned by Euromat, estimates that Europe’s black market has sustained a compound annual growth rate of 18% between 2019 and 2026, and will be worth up to €13 billion by the end of the year.
For enforcement authorities, however, the challenge is not simply estimating its size. It is keeping track of an ecosystem that can continually change domains, infrastructure and acquisition channels. That is where Madsen sees Trace2Trace fitting in.
One of its investigations concerns a specific globally renowned brand. Madsen says an initial scan identified around 1,600 domains, followed by another roughly 4,500 associated with this operator. That puts the number identified so far at around 6,000, although he believes the actual figure is considerably higher. “I think what we’ve found so far is only a small part of the overall picture,” he says. “I’m almost certain the real number is at least twice as high.”
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Developers can also move between rapid-response and longer-term projects depending on their interests and where they can contribute most effectively.
But more capacity does not mean Cubeia has eliminated bottlenecks. With AI agents producing several streams of work in parallel, the company is still trying to find the right balance of how much work an individual can manage and review.
“The bottleneck becomes the person reviewing everything. That does not mean we never review the code itself. For sensitive or critical parts of the system, we still look more closely at the implementation, particularly from an architecture, performance, security and reliability perspective. But we no longer apply that level of manual code review to everything.” Grenstad says.
