Prediction markets are on pace to process $240 billion in annualized volume in 2026, up from $51 billion in 2025. Kalshi, valued at $22 billion after a $1 billion Series F round in May, reports $178 billion in annualized trading volume and $1.5 billion in annualized revenue. Polymarket is raising...
"Engaging in any way in a prediction market or trying to place bets where we might have inside information deteriorates our confidence that our constituents have in us." — Sen. Bernie Moreno (R-Ohio), U.S. Senate floor, April 30, 2026
Prediction markets are on pace to process $240 billion in annualized volume in 2026, up from $51 billion in 2025. Kalshi, valued at $22 billion after a $1 billion Series F round in May, reports $178 billion in annualized trading volume and $1.5 billion in annualized revenue. Polymarket is raising $400 million at a reported $15 billion valuation, backed by a $600 million commitment from Intercontinental Exchange, the parent company of the New York Stock Exchange.
At the same time, the sector faces an escalating integrity crisis. Blockchain analytics firm Bubblemaps identified nine connected Polymarket accounts that collectively won $2.4 million on U.S. military operations bets with a 98% win rate across more than 80 trades. The U.S. Department of Justice charged an Army Special Forces Master Sergeant with insider trading after he allegedly used classified intelligence to profit $409,881 from prediction market bets. The U.S. Senate unanimously banned its members from trading on prediction markets. Thirteen states have moved to restrict or ban the platforms. The CFTC has sued five states to assert federal preemption.
This report examines the collision between rapid market expansion and mounting regulatory, legal, and national security pressures across the prediction market sector.
The prediction market sector has undergone a structural shift in scale since late 2025. Combined monthly trading volume peaked at $25.7 billion in March 2026, according to data aggregated by DeFi Rate. April 2026 recorded $8.6 billion in taker volume, with Kalshi posting $5.42 billion and Polymarket recording $1.99 billion. Wall Street broker Bernstein projects annual volumes will reach $1 trillion by 2030.
Kalshi dominates the regulated U.S. market. The platform raised $1 billion in a Series F round led by Coatue Management in May 2026, doubling its valuation to $22 billion from $11 billion five months earlier. According to Kalshi's own disclosures, the platform now serves 2 million monthly users and processes over $2 billion in weekly transactions. Institutional trading volume grew 800% in six months.
Polymarket operates primarily outside the United States but is seeking to re-enter the U.S. market with a regulated offering. The platform is in discussions to raise $400 million at a $15 billion valuation, according to Bloomberg. Intercontinental Exchange has committed up to $2 billion in total planned investment.
Together, Kalshi and Polymarket control an estimated 85% to 95% of global prediction market volume, with academic platforms like PredictIt and the Iowa Electronic Markets operating at negligible scale by comparison.
On May 21, 2026, CoinDesk reported findings from blockchain analytics firm Bubblemaps identifying a cluster of nine connected Polymarket accounts that bet almost exclusively on U.S. military operations against Iran. The accounts achieved a 98% win rate across more than 80 bets, collectively netting $2.4 million.
The accounts were created days before America's first strikes on Iran in late February 2026. Winning bets were placed on the specific dates of pivotal moments: the first U.S. strikes, the removal of Iran's Supreme Leader, and the announcement of a ceasefire. According to Bubblemaps, the accounts also placed small intentional losing bets on unrelated events, a technique consistent with efforts to avoid triggering automated detection systems.
Bubblemaps stated that "luck alone cannot explain" the pattern. The accounts' on-chain wallet structures showed interconnections consistent with a single entity or coordinated group.
On April 23, 2026, the U.S. Department of Justice announced charges against Army Master Sergeant Gannon Ken Van Dyke, a member of U.S. Army Special Forces, for using classified information to profit from prediction market bets.
Van Dyke participated in the planning and execution of "Operation Absolute Resolve," the U.S. military operation to capture Venezuelan former President Nicolás Maduro. Between December 26, 2025, and January 2, 2026, Van Dyke made 13 trades on Maduro- and Venezuela-related contracts on Polymarket, purchasing approximately $33,934 in "yes" shares. He allegedly profited $409,881.
According to the DOJ filing, Van Dyke attempted to conceal his identity by requesting Polymarket delete his account and changing the email address on his cryptocurrency exchange account. He faces charges of unlawful use of confidential government information, theft of nonpublic government information, commodities fraud, wire fraud, and unlawful monetary transactions. This represents the first known federal prosecution for insider trading on a prediction market platform.
In a separate matter, Kalshi disclosed on April 22, 2026, that it had suspended and fined one U.S. Senate candidate and two candidates for the U.S. House of Representatives for placing insider bets on their own political campaigns.
On April 30, 2026, the U.S. Senate unanimously passed a resolution barring all senators and Senate staff from trading on prediction markets, effective immediately. The resolution, introduced by Sen. Bernie Moreno (R-Ohio), passed without a roll call vote. Senate Minority Leader Chuck Schumer called the measure "a great thing" and urged House Speaker Mike Johnson to adopt an equivalent rule.
The House of Representatives has not acted. House ethics rules make no mention of prediction market bets, and there is no requirement to disclose prediction market profits in congressional financial filings. As of May 20, 2026, the House has held off on a prediction market ban despite bipartisan calls for prohibition, according to NPR. At least 10 bills addressing prediction market insider trading have been introduced. Rep. Eugene Vindman introduced legislation on May 14 to ban House members from using prediction markets, but it has not advanced.
Sen. Adam Schiff introduced the "Discouraging Exploitative Assassination, Tragedy, and Harm Betting in Event Trading Systems Act" (DEATH BETS Act) in the Senate; Rep. Mike Levin introduced the House companion (H.R. 7942). The bill would amend the Commodity Exchange Act to prohibit CFTC-registered exchanges from listing contracts related to terrorism, assassination, war, or an individual's death.
The legislation was prompted in part by a Kalshi contract on whether Iran's Ali Khamenei would be "out as Supreme Leader," which recorded $54 million in trading volume before it was paused. According to the Congressional Research Service, more than a dozen bills targeting prediction markets have been introduced in 2026. None has made meaningful progress toward becoming law.
The Commodity Futures Trading Commission, under Chairman Michael Selig, has positioned itself as the sole federal regulator of prediction markets and is actively fighting state-level restrictions.
The CFTC has filed federal lawsuits against at least five states:
| State | Date Filed | Trigger | |-------|-----------|---------| | Arizona | April 2, 2026 | 20-count criminal information against Kalshi for illegal gambling | | Connecticut | April 2, 2026 | State enforcement actions against prediction platforms | | Illinois | April 2, 2026 | State enforcement actions against prediction platforms | | Wisconsin | April 28, 2026 | Civil suits against Kalshi, Polymarket, Crypto.com, naming Robinhood and Coinbase | | Minnesota | May 2026 | State law banning prediction markets before August 1 effective date |
In Arizona, the CFTC secured a temporary restraining order on April 10, halting the state's criminal prosecution of Kalshi. The CFTC has also filed amicus briefs in Massachusetts and the Sixth Circuit to reaffirm exclusive federal jurisdiction.
The CFTC asserts "exclusive jurisdiction" over derivatives markets, including event contracts, under the Commodity Exchange Act. Thirteen states have taken active enforcement positions, creating what the CFTC has called an "onslaught" of state-level regulation.
Wisconsin Attorney General Josh Kaul filed three civil suits on April 23 in Dane County Circuit Court against Kalshi, Polymarket, and Crypto.com affiliates, alleging their sports-outcome contracts violate the state's criminal statute on sports betting (Wis. Stat. 945.03(1m)).
The outcome of these cases will determine whether prediction market event contracts are federally regulated derivatives or state-regulated gambling products — a distinction with significant implications for the sector's legal viability.
On April 30, 2026, Polymarket announced a partnership with blockchain analytics firm Chainalysis to monitor trading activity and detect insider trading. The collaboration gives Polymarket access to Chainalysis's compliance infrastructure, investigative tools, and custom monitoring systems. Polymarket stated it would share evidence with regulators when necessary.
Kalshi disclosed that it blocked Van Dyke's account and has taken enforcement action against at least three political candidates for insider trading on their own campaigns. The platform has positioned itself as cooperating with federal authorities.
Both platforms face a fundamental constraint: on-chain prediction markets allow pseudonymous participation. Van Dyke's case demonstrated that a participant with classified military intelligence could open accounts, place bets, and attempt to delete evidence before detection. The Bubblemaps investigation revealed nine accounts operated by what appears to be a single entity, indicating that existing KYC and monitoring systems failed to prevent coordinated manipulation.
The prediction market sector presents an unusual value distribution profile. Platform operators capture revenue through fees on trading volume. Kalshi's $1.5 billion annualized revenue on $178 billion in annualized volume implies an effective take rate of approximately 0.84%. At that rate, a projected $240 billion in 2026 industry volume would generate roughly $2 billion in platform revenue across the sector.
The economic value question is whether this revenue reflects genuine price discovery and information aggregation — the traditional justification for prediction markets — or whether a meaningful fraction is derived from information asymmetry exploitation. The Van Dyke case and the Bubblemaps findings suggest that at least some portion of market activity involves participants with material non-public information.
For the broader Web3 ecosystem, prediction markets represent one of the few on-chain verticals that has achieved mainstream user adoption (Kalshi's 2 million monthly users) and institutional investment (combined valuations exceeding $37 billion). The regulatory outcome will establish precedent for how on-chain financial products interact with federal securities and commodities law.
The prediction market sector is growing at a rate that outpaces its regulatory and surveillance infrastructure. Volume has increased nearly fivefold year-over-year. Valuations reflect investor confidence in continued expansion. Yet the sector's most consequential cases in 2026 involve classified military intelligence being monetized on-chain, coordinated accounts exploiting geopolitical events for profit, and elected officials placing informed bets on platforms with no disclosure requirements.
The regulatory framework remains unresolved. The CFTC claims exclusive federal jurisdiction but has not finalized rules. Congress has introduced more than a dozen bills but passed none. States are acting independently, producing a patchwork of bans and enforcement actions that the CFTC is fighting in court.
The fundamental tension is structural: prediction markets derive their utility from aggregating private information into public prices. The same mechanism that makes them valuable for price discovery makes them attractive for insider trading. Resolving this tension — through regulation, surveillance technology, or market design — will determine whether the sector's current trajectory is sustainable or whether the documented abuses force a contraction.