I. Introduction
In early January Beijing time, a piece of news circulated on overseas social platforms and within various crypto communities: the U.S. government had taken strong action regarding the situation in Venezuela, drawing significant attention from the international community. Almost simultaneously, a transaction record on a decentralized prediction platform quickly became a major topic of discussion in the market.
Data shows that over a span of just four days starting December 27, 2025, an account on the prediction market platform Polymarket accumulated an investment of approximately $32,537, consistently betting on the event that "Venezuelan President Maduro will step down before January 31." Notably, this account established a large position within a few hours before the related news was widely discussed externally.
At that time, the market's overall pricing for the probability of the related event occurring was not high, around 6%. As the situation evolved and official U.S. statements were released, the value of the account's holdings rapidly increased, ultimately realizing paper profits exceeding $400,000, with a return rate reaching over tenfold at one point.
Whether this trade involved insider information remains subject to further investigation by regulators and the platform. But it is sufficient to raise a question—what exactly is this frequently mentioned Polymarket? And why have prediction markets rapidly gained popularity in 2025?
This article will use this event to systematically introduce this rapidly expanding Web3 sector.
II. What is a Prediction Market? Why Can It "Aggregate Collective Wisdom"
A Prediction Market is essentially a mechanism that uses financial incentives to aggregate dispersed information.
In a prediction market, participants need to use real money to express their views on the outcome of a specific event through trading. As different judgments continuously compete in the market, the price gradually converges to a level that reflects the "collective judgment probability." This mechanism allows prediction markets, in certain scenarios, to come closer to the actual outcome than traditional surveys or subjective judgments.
This advantage was fully demonstrated during the 2024 U.S. presidential election. Prediction market platforms, represented by Polymarket, provided probability judgments on election outcomes at several key junctures that were noticeably ahead of traditional polling agencies. Their predictive accuracy was subsequently validated after the final results were confirmed.
As credibility continues to accumulate, prediction markets are being cited more widely:
- Mainstream financial media (e.g., Bloomberg) directly reference their odds data in reports;
- Search engines and AI Q&A products (e.g., Perplexity) display prediction market results as reference information;
- Prediction markets are gradually transitioning from an "internal tool within the crypto community" to a public source of information.
In terms of market size, industry growth is also significant. Multiple research institutions estimate:
- The total trading volume of prediction markets in 2025 is expected to grow from approximately $900 million in 2024 to $40 billion;
- The user base is projected to grow from about 4 million to 15 million people;
At the capital level, prediction markets have also received high recognition. By 2025, the two platforms Polymarket and Kalshi had attracted cumulative funding exceeding $3.15 billion, holding an absolute dominant position in the industry. In October 2025, Intercontinental Exchange (ICE), the parent company of the New York Stock Exchange, announced a strategic investment in Polymarket, pushing its valuation into the $8-9 billion range. Simultaneously, Kalshi also completed several large funding rounds, with investors including multiple global leading institutions.
Amid these overlapping factors, prediction markets are widely regarded as one of the most representative Web3 sectors of 2025.
III. Prediction Markets ≠ Gambling: The Essential Differences Between the Two Mechanisms
As the popularity of prediction markets rises, a common controversy also emerges: are prediction markets just "gambling in a new shell"?
From an underlying mechanism perspective, the two have fundamental differences.
1. Different Price Formation Mechanisms
Prediction markets adopt a market-based pricing logic. Prices are formed through the博弈 (game/competition) between buyers and sellers in a public order book. All transaction data is auditable. The platform itself does not set probabilities nor bear outcome risks; it only collects transaction fees.
Gambling platforms, however, set odds internally. Their calculation logic is not transparent, and they ensure long-term profitability through the "house edge." The goal of adjusting odds is not to discover the true probability but to control the platform's risk.
2. Functional and Purpose Differences
The prices generated by prediction markets are essentially a data product that can be used externally. They can be applied in scenarios such as macro event judgment, policy expectation analysis, corporate risk management, and can even inversely influence media narratives and decision-making references.
Gambling behavior is primarily for entertainment consumption. Its odds do not possess spillover value nor serve an information discovery function.
3. Differences in Participant Structure
Liquidity in prediction markets comes from information-driven participants, including researchers, macro traders, data analysts, institutional users, etc. Their core goal is to arbitrage and discover prices using information asymmetry.
Liquidity in gambling markets mainly comes from ordinary consumers, who are more easily driven by emotions and preferences, not focusing on information accuracy.
Because of this, prediction markets are often seen as a form of "information liquidity market," rather than traditional entertainment gambling.
IV. Why Did Prediction Markets Explode in Popularity in 2025?
Prediction markets are not a new concept; their theoretical foundations can be traced back to the last century. However, achieving规模化 (scalable) growth truly relied on the maturation of multiple external conditions in 2025.
First, there was a key breakthrough in regulation. The U.S. Commodity Futures Trading Commission (CFTC) gradually clarified the compliant positioning of prediction markets, defining them as falling under the category of commodity derivatives, not gambling behavior. This change allowed prediction markets to be distributed through broader channels. Post-compliance, the coverage of prediction markets in the U.S. even surpassed that of some traditional gambling businesses, reaching all 50 states.
Second, there was a restoration of institutional confidence and capital inflow. With clear regulatory boundaries, the financing path for prediction market platforms rapidly widened. Multiple large funding rounds provided support for product experience, liquidity, and risk control systems.
Third, there was an expansion of event categories. Evolving from macro-political events to include economic data, crypto industry events, and even sports events, making the application scenarios of prediction markets more diverse.
Finally, there was technological maturity. On-chain settlement, automated market making, and the application of AI tools in information analysis and trading assistance collectively lowered the barriers to participation and use.
These factors worked together, making 2025 the year prediction markets truly "broke out" into the mainstream.
V. Risks and Boundaries: A Rational View on Prediction Markets
It must be emphasized that prediction markets are not without controversy. The "preemptive positioning" case mentioned at the beginning of the article also reflects that insider information, manipulation prevention, and compliance enforcement remain issues requiring continuous improvement in this field.
It also needs to be clearly stated that Mainland China explicitly prohibits related prediction and disguised gambling activities. Ordinary users should not participate in any activities that do not comply with local laws and regulations.
However, from a research and industry observation perspective, prediction markets, as a tool for information aggregation and probability expression, still hold value worth attention and study in terms of systems, technology, and product design.
For the Web3 industry, it offers a new direction: not merely revolving around "asset speculation," but building data infrastructure around information, decision-making, and real-world events that can be used by real society. This, perhaps, is the real reason prediction markets are widely discussed in 2025.
