Prediction markets have processed more than $154 billion in total volume, with daily trading on Polymarket alone often exceeding $300 million.
That scale forces a more important question. These platforms no longer look like niche betting venues. They increasingly resemble something closer to retail trading.
This analysis uses on-chain data, primarily from Polymarket—the largest platform by users and transactions in a market dominated by a Polymarket–Kalshi duopoly—to test that shift directly.
Across four dimensions, who participates, how they behave, how capital moves, and at what scale, the volume growth pattern tells a consistent story.
And the category mix reinforces the framing: crypto and politics (excluding sports) now lead weekly volume on Polymarket, with the economy and earnings categories growing alongside them. These are not traditional gambling categories. They are finance-adjacent verticals.
Notably, sports event contracts are already being offered as CFTC-regulated financial products by Kalshi and distributed through Robinhood's Predictions Hub, placing them alongside stocks, options, and crypto within the same brokerage interface.
The most revealing signal is not how much money flows through prediction markets. It is who is placing the trades.
On Polymarket, the median bet size is $10, according to BeInCrypto's exclusive dashboard. The average sits at $89, but that figure is pulled upward by a thin tail of large participants.
The underlying distribution paints a clearer picture: roughly 20% of all wallets trade in the $0 to $10 range, another 27% fall between $10 and $50, and about 11% sit in the $50 to $100 bracket.
In total, over 57% of users trade for less than $100, and more than 80% trade for less than $500.
This is not a market shaped by whales. It is a market built on small, individual participants deploying modest amounts. The pattern mirrors what defined the rise of retail stock trading.
Robinhood, for comparison, reported a median account size of $240, with the average around $5,000, according to CEO Vlad Tenev in 2021. The structural similarity is hard to miss: prediction markets are attracting the same class of small participants that reshaped equities over the past five years.
Users are Acting Like Traders, Not Bettors
Participation alone does not distinguish a financial platform from a betting one. Frequency of interaction does.
A bettor places a wager and waits. A trader enters positions, adjusts exposure, exits, and re-enters. The transactions-per-active-user ratio captures this distinction directly.