In early 2024, prediction markets were a curiosity. Monthly trading volume across all platforms was under $100 million—a rounding error relative to the global sports betting market. By December 2025, that figure had crossed $13 billion. By March 2026, it reached $25.7 billion in a single month. The 133x headline obscures what that trajectory actually means: this is not a crypto-cycle bubble. This is a regime change, and it is running directly through sportsbook territory.
More than 80% of prediction market volume is driven by sports event contracts. Every sportsbook operator in the world already has the audience, the data relationships, and—as of April 2026—the B2B infrastructure to participate. The question is no longer whether prediction markets are real. The question is which operators capture the first-mover margin premium before the window closes.
The NumbersFrom $100M to $13B a Month: What the 133x Actually Means
The growth numbers require some care in interpretation because the scale makes them feel implausible. They are not. EK Capital data cited by Covers.com in March 2026 documents the transition from under $100 million in monthly volume in early 2024 to over $13 billion by December 2025—a hundredfold-plus expansion achieved in under two years.
Annual global trading volume for 2025 reached $63.5–$64 billion, up approximately 400% year-on-year, according to The Block and TRM Labs. Kalshi and Polymarket together held 93–97.5% of total tracked volume throughout the year. The early 2026 monthly run-rate—$26.75 billion in January, $23.24 billion in February, $25.7 billion in March—shows the new volume regime is holding above $20 billion per month consistently (TRM Labs).
| Period | Monthly Volume | Key Driver |
|---|---|---|
| Early 2024 | <$100M | Niche crypto-adjacent user base |
| September 2025 | Regime shift begins | US election cycle + NFL season overlap |
| December 2025 | $13B+ | NFL playoffs, political markets, sustained growth |
| March 2026 | $25.7B | March Madness + Kalshi record $3.4B week |
Kalshi alone grew from approximately $300 million annualized in 2024 to $50 billion annualized in 2025—roughly 167x growth—with monthly trade count rising from 196,000 to 21 million (The Block). In March 2026, Kalshi recorded $13.07 billion in monthly volume, up 25% month-on-month; Polymarket recorded $10.57 billion, up 33% (DeFi Rate). The volume regime shift that began in September 2025 has shown no reversion in six consecutive months. This is not a blip—it is the new baseline.
Why Sportsbook Operators Are the Natural Owners of This Market
The single most important structural fact about prediction markets for sportsbook operators is the sports share: more than 80% of all prediction market volume is driven by sports event contracts (Covers.com / EK Capital). This is not a financial derivatives market that occasionally touches sports. This is, in practice, a sports betting market that happens to operate through a different regulatory and product structure.
Super Bowl 2026 generated more than $6 billion in prediction market trading, including over $1 billion on game day alone (Yahoo Finance). A single sporting event, generating $6 billion in trading volume through platforms that most regulated sportsbook operators do not yet participate in. The Super Bowl is the most heavily wagered event in traditional sports betting—and the same audience drove a parallel $6 billion through prediction market contracts.
The data infrastructure alignment is equally significant. Sportradar—the data backbone for approximately 800 sportsbooks globally—is actively building prediction market data infrastructure, targeting FIFA World Cup 2026 data deals (Gaming America). Operators who already have Sportradar integrations will find those existing data relationships becoming competitive moats as prediction market infrastructure matures. Polymarket's official partnership with LaLiga in 2026 signals that sports leagues are actively opening data relationships with prediction market platforms—the same league data deals that power traditional sportsbooks are now being replicated in the prediction market space.
That $1.3 billion annualized Kalshi sports revenue figure deserves to sit at the center of every operator's strategic conversation. DraftKings—one of the two dominant US sportsbooks—generates roughly $5.2 billion in total sportsbook revenue annually, according to industry estimates. A prediction market platform, operating at a fraction of the regulatory complexity of a licensed sportsbook, has already reached a revenue run-rate equivalent to roughly 25% of that figure, from a standing start. The audience already exists. The sports-betting instinct already exists. The platforms capturing it are largely not regulated sportsbooks.
The Margin CaseThe Structural Margin Advantage Traditional Sportsbooks Don’t Have
Volume and audience are the headline argument. The margin argument is the one that changes the internal business case. Prediction markets carry 10–30% higher adjusted gross margins than traditional sportsbooks—and the structural drivers are durable, not cyclical (DeFi Rate / DraftKings investor day).
Two factors drive the margin premium. First: in many jurisdictions where prediction markets operate, state gaming taxes do not apply. Traditional US sportsbooks face effective state tax rates that range from single digits to over 50% in markets like New York. A prediction market product operating under CFTC oversight, as Kalshi does, sidesteps that tax structure entirely. For operators with multi-market presence, the margin uplift from even partial prediction market revenue can be material at scale.
Second: promotional intensity is structurally lower. Traditional sportsbook acquisition relies on bonus offers and odds boosts that create a perpetual promotional cycle—acquire a user with a deposit match, watch them drain the bonus, re-acquire them with another offer. Prediction market users are drawn by information edge and market accuracy, not by bonus extraction. The long-term promotional cost curve is fundamentally different. The audience self-selects for engagement quality rather than offer hunting.
DraftKings and FanDuel are not investing $10 billion in projected opportunity and $300 million in committed capital respectively because prediction markets are a speculative adjacent category. They are investing because the margin structure of prediction markets is superior to the product they already operate at scale. For smaller operators, the B2B sportsbook platforms market—valued at $1.47 billion in 2026, growing to $2.12 billion by 2032 at 6.7% CAGR (Research and Markets)—means prediction markets are an incremental revenue layer on existing infrastructure, not a platform rebuild.
B2B InfrastructureThe Race Is On: SOFTSWISS and BETBY Both Launched in April 2026
The infrastructure argument against prediction market entry has evaporated. In April 2026, two of the most significant B2B sportsbook platform providers launched competing prediction market products within days of each other—an unusual competitive simultaneity that signals how fast the B2B race has accelerated.
SOFTSWISS launched a fixed-odds prediction markets product in April 2026 with a 2–3 day onboarding timeline for existing partners and approximately three weeks for new operators. BETBY launched “BETBY Predictions” on April 1, 2026. The timing of two major B2B providers going live in the same week is not coincidence—it reflects months of parallel development as both providers recognized that the volume data made prediction markets an inevitable product line for their operator clients.
Both providers made the same deliberate product choice: fixed-odds rather than peer-to-peer exchange or liquidity pool models. This is the correct architecture for the operator audience they serve. Fixed-odds prediction markets give operators:
- Familiar margin structures—no liquidity pool management, no internal trading desk required
- Centralized risk management handled at the B2B layer
- AI-driven market generation that can produce hundreds of new contracts weekly without any internal pricing or content team
- A product that integrates into existing sportsbook wallets and player accounts without requiring separate registration flows
Beyond Bettors: The User Segments Prediction Markets Unlock
The sports volume dominance of prediction markets can obscure an important structural reality: prediction markets attract a meaningfully different user than a traditional sportsbook. Olga Resiga, Chief Business Development Officer of SOFTSWISS, framed the distinction precisely at the April 2026 launch: “Prediction markets are not just an extension of sportsbooks—they introduce entirely new audiences who have never engaged with traditional betting products.”
The traditional sportsbook user is motivated by sports fandom and the prospect of financial return on their sporting knowledge. The prediction market user is often motivated by information edge in a broader sense—political analysis, economic forecasting, cultural trend prediction. This is a genuinely different psychological profile, and it maps to a genuinely different acquisition funnel. A user who trades on election outcomes, economic indicators, or entertainment award contracts is not a churned sportsbook user waiting to be reactivated. They are an unaddressed TAM that prediction markets specifically unlock.
The practical implication for operators is that adding prediction markets is not a zero-sum product decision against their existing sportsbook. The user overlap is real but partial. Non-sports prediction market categories—politics, finance, entertainment—provide cross-sell depth that keeps users engaged during sports off-seasons, the traditional churn window for sportsbooks. A user who trades on political outcomes in the summer returns to the same platform for NFL season. The prediction market layer converts the sportsbook from a sports-season-dependent product into a year-round engagement platform.
The LTV profile of prediction market users also differs from typical sportsbook acquisition cohorts. Information-motivated traders show lower sensitivity to promotional offers, reducing the bonus abuse exposure that inflates acquisition costs for traditional sportsbooks. The user who engages for information edge stays for information edge—a more durable engagement driver than deposit match mechanics.
Regulatory RealityIs the Legal Risk Still the Blocker? What April 2026 Changed
Regulatory uncertainty has been the most cited reason for operator hesitation on prediction markets. As of April 2026, that argument has materially weakened—and for operators in regulated international markets, it was always a weaker argument than US-centric analysis suggested.
The landmark development in April 2026 was Kalshi's regulatory ruling in New Jersey—the first major US state-level green light for prediction market operations (Covers.com). New Jersey is the second-largest US sports betting market by volume and a bellwether for regulatory developments that typically cascade to other states. A New Jersey ruling in Kalshi's favor is the most significant US regulatory signal in the prediction market space to date, and it directly addresses the primary objection cited by hesitant US-facing operators.
For operators outside the US, the regulatory picture is different and often more permissive. Fixed-odds prediction markets from regulated B2B providers like SOFTSWISS and BETBY operate under existing sportsbook licensing frameworks in many international jurisdictions—the regulatory delta is not a platform rebuild but a product extension within existing license scope. The regulatory risk that dominated operator conversations in 2024 is increasingly a solved problem in international markets and a trending-toward-resolution problem in the US.
Early movers benefit from regulatory learning curve advantages that compound over time. Operators who enter prediction markets now accumulate compliance frameworks, player segmentation data, and market-making experience that later entrants will need to buy or build. By the time full regulatory clarity exists in all target markets—which typically coincides with peak competitive pressure—first movers have structural advantages that cannot be purchased off a B2B shelf.
The Operator’s Checklist: When to Enter, What to Build, What to Avoid
The volume data, the margin case, and the B2B infrastructure availability collectively answer the “should we?” question for most regulated sportsbook operators. The remaining questions are “how?” and “on what timeline?” There are three distinct entry paths, each with different time-to-revenue and capability requirements.
Entry Path A: Existing SOFTSWISS or BETBY Partner
This is the fastest path with the lowest barrier. For an existing SOFTSWISS partner, the integration timeline is 2–3 days. BETBY's April 2026 launch operates on comparable timelines. Fixed-odds architecture means no liquidity management, no internal trading desk, and no pricing team required—AI-generated markets handle content at scale. Time-to-revenue is measured in weeks, not quarters. For operators on these platforms, the decision to delay carries a measurable opportunity cost with every passing month of $20–$25 billion in market volume being captured by other platforms.
Entry Path B: Sportradar Data Layer Integration
For operators in Sportradar's approximately 800-operator global network, the prediction market data infrastructure being built ahead of FIFA World Cup 2026 represents a medium-term integration path. This requires more lead time than Path A but builds prediction market capability on existing data relationships that are already embedded in operational workflows. The World Cup 2026 targeting creates a natural deadline that focuses the integration timeline for operators pursuing this route.
What to Avoid: Building a P2P Exchange from Scratch
DraftKings is pursuing full vertical integration: internal market making, internal DCM/FCM/DCO functions, unified Super App structure across all 50 US states (DeFi Rate). This is a legitimate strategy—for DraftKings. They have the scale to justify internal trading infrastructure, a large enough user base to seed liquidity in a P2P model, and the balance sheet to absorb the capital cost. Most operators do not have these structural prerequisites. Building a P2P exchange from scratch without the scale to generate internal liquidity produces a product that is inferior to established platforms on the dimension—market depth—that sophisticated prediction market users care most about. The fixed-odds B2B path produces a better product faster for the vast majority of operators.
The Timing Signal to Watch
The competitive moat in prediction markets is currently being built at the operator layer, not the platform layer. The B2B providers have commoditized the infrastructure—two competing products launched in the same week in April 2026, and more will follow. When a third major B2B provider launches a prediction market product, infrastructure parity will exist across most of the global sportsbook operator base, and the first-mover positioning window in any specific market will close. The operators who moved in Q2 2026 will have accumulated player data, product iteration experience, and brand association with prediction markets that later entrants cannot replicate through B2B integrations alone.
The question that prediction market volume data from 2025 and 2026 has definitively answered is “will prediction markets be a significant market?”—$64 billion in annual volume, sustained $20 billion monthly run-rates, and $300 million committed by FanDuel alone answer that with finality. The question that remains open for each operator is “which operators capture the first-mover margin premium while the window is still open?” Based on the April 2026 B2B landscape, that window is open. Based on the trajectory of B2B provider launches and the regulatory signals out of New Jersey, it will not remain open indefinitely.
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