- Bloomberg In-Depth Analysis: Why Has the Prediction Market Become the New Intersection Between the Crypto Industry and Traditional Finance?

According to recent reports by Bloomberg, the prediction market sector has experienced explosive growth over the past year. The industry has now formed a preliminary competitive landscape dominated by three platforms: Polymarket, Kalshi, and Opinion. The rapid rise of this sector is driven not only by increasing user demand for trading on macro events, sports, and hot topics but also by the gradually clarifying regulatory environment in the United States. As traditional financial institutions begin to pay attention to this field, prediction markets are becoming an important testing ground for the intersection and integration of the crypto industry and traditional finance.

Background and Timeline of Sector Evolution

The current growth of prediction markets is not accidental; it follows a clear evolutionary path:

• 2024 to 2025: Decentralized prediction platforms like Polymarket demonstrate strong data aggregation capabilities during major events such as U.S. elections, attracting significant retail user interest and mainstream media attention. Event-based trading shifts from niche derivatives to mainstream visibility.
• Late 2025: Influenced by the Trump administration’s more friendly stance toward crypto assets and event contracts, the U.S. Commodity Futures Trading Commission (CFTC) begins drafting formal regulatory frameworks for prediction markets. Compliance expectations become a key variable in industry development.
• Early 2026: The CFTC officially submits a Notice of Proposed Rulemaking (ANPRM) to the White House Office of Information and Regulatory Affairs (OIRA), marking substantial progress toward federal unified regulation standards. Meanwhile, new players like Opinion emerge within the BNB Chain ecosystem, attempting to challenge existing structures through incentive mechanisms.

Data and Structural Analysis

By 2026, the top three platforms show differentiated competitive characteristics at the data level. Despite a month-over-month decline in overall industry trading volume in February—first since August 2025—the leading platforms continue to exhibit strong network effects.

• Kalshi: A compliance-driven growth leader

As a fully CFTC-regulated platform, Kalshi recorded $9.8 billion in trading volume in February, up from $8.9 billion in January, making it the only platform among the top three to achieve monthly growth. Its open interest approaches $474 million, with sports and crypto price prediction markets being the most active categories. Its compliant status is becoming a core advantage in attracting institutional liquidity.

• Polymarket: The decentralized traffic leader

Although February’s trading volume remained flat month-over-month, Polymarket maintains dominance in the number of trades and active wallet addresses. Its open interest recently surpassed $400 million, indicating high-frequency participation by retail users. The platform offers a variety of short-term event markets (e.g., contracts expiring in 5 to 15 minutes), capturing some speculative demand spilling over from traditional crypto derivatives trading.

• Opinion: A challenger with incentive model challenges and difficulties

Originating from the BNB Chain ecosystem, Opinion once held over 30% market share in prediction markets but saw its share plummet to around 3% in February. Community feedback indicates dissatisfaction with its airdrop mechanism—“each point is worth about $6, but the cost to acquire points is $10–$15”—and some genuine contributors have been labeled as “whales,” leading to a sharp decline in TVL (Total Value Locked).

Public Sentiment and Perspectives

Market opinions on the current three-platform dominance show clear bullish and bearish divides:

• Optimists: Regulation Opens Growth Potential

Supporters believe that the regulatory plans advanced by the CFTC will provide clear operational guidelines for “event contracts,” moving the industry out of the “gray area” into transparency. Compliant platforms like Kalshi will attract more institutional capital, while Polymarket’s decentralized architecture can leverage technology to mitigate jurisdictional risks, allowing both to coexist.

• Skeptics: Ethical Concerns and Insider Trading Risks

Critics focus on the negative externalities of prediction markets. Recently, Polymarket urgently delisted a controversial market on “When will a nuclear weapon be detonated,” which had over $838,000 in trading volume. More seriously, just hours before U.S. military actions against Iran, multiple accounts reportedly used insider information to place concentrated bets, earning over $1.2 million in profits. Such incidents raise public concerns: could prediction markets become tools for “disaster gambling” or insider trading arbitrage?

• User Sentiment: Trust Crisis in Incentive Models

The “anti-dump” incident involving Opinion’s airdrop triggered strong backlash within the community. Some users commented: “This operation basically destroyed the sentiment of prediction markets on the BNB Chain ecosystem.” This suggests that relying solely on token incentives to attract users—without sustainable product features and fair distribution mechanisms—can backfire and damage platform credibility.

Reality Check on the Narrative

The narrative that “prediction markets are becoming mainstream” is still in early validation. On the factual level, trading volume is indeed growing, and regulation is progressing. However, caution is needed against two types of exaggeration: first, equating “growth in event trading volume” with “mature business models”—currently, top platforms still heavily depend on pulse-driven traffic from hot topics, with sustainability to be observed; second, equating “regulatory progress” with “regulatory approval”—the CFTC’s ANPRM remains a consultation draft, and final rules may include strict contract type restrictions and user eligibility criteria.

From a speculative perspective, for prediction markets to truly integrate with traditional finance, they must address the decentralization and credibility of “result arbitration.” Currently, most platforms rely on centralized decision mechanisms, which conflict with the core crypto principle of “trustlessness.”

Industry Impact Analysis

The formation of the three-platform landscape has multiple implications for both the crypto ecosystem and financial markets:

• For the crypto ecosystem: Prediction markets open new application scenarios beyond DeFi and NFTs, tokenizing “information hedging” needs and enriching on-chain assets. The setback of Opinion also reminds the industry that relying solely on capital and points cannot build a moat; product experience and community trust are key to long-term retention.
• For financial markets: Event contracts are essentially alternative derivatives. If regulatory frameworks are established, prediction markets could become tools for macro hedging funds and event-driven traders to gain risk exposure, with their price discovery potentially influencing mainstream media narratives.
• For regulatory systems: The joint efforts by the SEC and CFTC to advance regulation indicate that the U.S. is attempting to establish a comprehensive classification standard for “event assets.” This could give rise to a new asset class bridging gambling and financial derivatives.

Scenario Evolution and Forecasts

Based on current information, prediction markets may evolve along three main scenarios:

• Scenario 1: Steady growth driven by regulation (higher probability)

Once the CFTC issues clear rules, licensed platforms like Kalshi will gain early advantages, focusing on “harmless” event markets such as sports and macroeconomics. Polymarket, operating offshore or with a neutral stance, will serve global retail users but face restrictions in the U.S. market. Overall industry scale will expand steadily, but explosive growth may slow.

• Scenario 2: Controversial events trigger tighter regulation (medium probability)

If insider trading or manipulation involving major political or military events recurs, it could prompt congressional intervention and stricter legislation. Licensed platforms might be forced to delist many active contracts, leading to a phase of industry downturn.

• Scenario 3: Innovation and integration create new paradigms (lower but noteworthy probability)

Prediction market mechanisms could be embedded into broader DeFi protocols, such as derivatives based on prediction outcomes or automated market makers (AMMs) driven by event probabilities. This could diminish standalone prediction platforms, with “event trading” becoming a fundamental primitive integrated into on-chain finance.

Conclusion

The triad of Polymarket, Kalshi, and Opinion marks both a milestone in the maturation of prediction markets and the beginning of potential divergence and turbulence. As regulatory clarity emerges, ethical controversies persist, and user trust remains fragile, this sector stands at the crossroads of “wild growth” and “orderly restructuring.” For industry participants, monitoring compliance developments, discerning genuine needs, and avoiding speculative narratives are essential to maintaining clarity amid this evolving landscape.