Predictive markets are revolutionizing the world of finance, turning opinions and knowledge into measurable economic signals.
According to a report by Dune, only in 2025, the monthly volume exceeded 13 billion dollars, making these markets one of the fastest-growing segments in the entire financial ecosystem.
Key Points
Predictive markets are platforms that allow trading of contracts whose value depends on the outcome of future events. Each contract represents a clear and binary question, for example: “Inflation above 5% in Q3?”. If the event occurs, the contract pays $1, otherwise $0. The price at which it is traded reflects the collective probability estimated by the market.
These tools differ from bets and surveys because they incorporate economic incentives. Users do not respond solely based on opinions, but they risk capital. The result is a mechanism of “incentivized prediction,” capable of aggregating distributed information with results often superior to those obtained from statistical models or experts.
Predictive markets are not a recent innovation. As early as 1503, during the papal conclave, bets were placed on the election of the new Pope. In the 18th century, London coffeehouses became hubs of information exchange where people wagered on politics, maritime trade, and wars. In 19th century United States, election betting was so common that newspapers regularly published the odds.
The modern version took shape in 1988 with the Iowa Electronic Markets (IEM), which demonstrated a predictive capability superior to polls in over 70% of the surveys between 1988 and 2004.
With the advent of blockchain, Augur was the first on-chain protocol to launch a prediction market via ICO on Ethereum in 2015. Despite the innovations, Augur suffered from high costs, complex UX, and controversies over sensitive markets.
According to data collected by Dune and Keyrock, 2025 witnessed a surge in volumes and participation:
These numbers confirm a structural shift: the demand is no longer just speculative but informative. The focus is on economic, electoral, and geopolitical events, reflecting a real need for tools to measure uncertainty in real-time.
One of the strengths is the predictive accuracy. Polymarket records accuracy rates between 90% and 95%, with performance improving as liquidity increases.
The Brier score indicator, which measures the accuracy of probabilistic forecasts, stands at values around 0.09 between Kalshi and Polymarket. It is a significantly better metric compared to:
Kalshi, in particular, has proven to be more stable compared to benchmarks like Cleveland FedNow, with volatility 4.3 times lower.
An in-depth analysis shows that traders focus on high-probability markets:
This behavior is consistent with a rational approach to risk and a pursuit of informational efficiency.
Founded on Polygon, Polymarket is a non-custodial platform that utilizes the Conditional Token Framework by Gnosis. After an initial version with AMM, in 2022 it adopted a central limit order book (CLOB) with off-chain signed orders and on-chain settlement.
Key Data:
The resolution of markets occurs through:
This architecture allows Polymarket to manage subjective markets with speed and reliability. 98% of resolutions are uncontested, and the UMA validator network has seen a +600% increase in participants between 2024 and 2025.
Kalshi, registered as a Designated Contract Market (DCM) with the CFTC, is the first regulated platform for trading event contracts. Unlike Polymarket, it operates entirely under a U.S.-based legal structure.
In 2025, it achieved a historic legal victory that allowed it to offer fully regulated electoral markets. Additionally, it forged strategic partnerships:
Prediction markets are surpassing their speculative function to become:
In DeFi, for instance, there have been cases where predictive markets anticipate user behavior on crucial votes.
Prediction markets are emerging as new global information infrastructures. They aggregate distributed signals, make them tradable, and update them in real-time. Their accuracy, on-chain transparency, and versatility of use make them fundamental tools in the new paradigm of data-driven finance.
With record volumes, expanding use cases, and growing institutional acceptance, they are poised to become one of the pillars of the new information economy. The question is no longer whether they will spread, but how quickly they will secure a stable place in the global financial fabric.


