prediction markets spent most of 2023 as a footnote in sportsbook strategy decks. By the end of 2025, they had become the most disruptive force in US sports betting since mobile legalization. Combined notional trading volume on Kalshi and Polymarket alone exceeded $44 billion for the year—Kalshi contributing $23.8 billion and Polymarket $22 billion—up from negligible volumes just two years prior. The question for sportsbook operators is no longer whether prediction markets matter. It is whether their infrastructure can actually support them.
The answer, for most operators, is no. The products launched in 2025 by DraftKings, FanDuel, and Fanatics are strategically correct moves. The underlying operational reality is that building prediction market capability on top of a state-regulated sportsbook stack is closer to bolting a trading desk onto a retail counter than it is to a feature launch. This article maps the five dimensions where that gap is largest—and what operators need to decide before NFL 2026 forces the issue.
Market ShiftFrom Threat to Growth Vertical: How Operators Flipped the Script
For most of 2024, the dominant sportsbook narrative around prediction markets was defensive. Kalshi’s legal victory over the CFTC in August 2024 opened the door to 50-state sports event contract trading, and traditional operators spent the remainder of the year lobbying against it. That posture collapsed quickly once the volume data became undeniable.
Kalshi grew monthly active users 8.5x in a single year—from 600,000 to 5.1 million—driven almost entirely by sports event contracts. Its post-Series E valuation reached $11 billion, briefly exceeding DraftKings’ market cap and forcing a strategic rethink across the industry. When a startup operating for less than five years is worth more than one of the two largest sports betting operators in the country, the incumbents pay attention.
The response was decisive. DraftKings launched Railbird, its prediction market product built on the CFTC-licensed exchange it acquired for $250 million. FanDuel (Flutter) launched FanDuel Predicts across all 50 states in under four weeks—a deployment timeline that is structurally impossible under state-by-state sportsbook licensing, and that demonstrated the go-to-market speed advantage of federal CFTC jurisdiction. Fanatics launched Paragon, built on the FCM it acquired from Paragon Global Markets. By end of 2025, all three had prediction market products live.
The Super Bowl 2026 stress test confirmed consumer adoption was running ahead of regulatory clarity. Prediction markets attracted an estimated $630 million in Super Bowl wagers and accounted for 80% of year-over-year growth in Super Bowl betting volume. The inflection point had arrived.
The industry fracture became formal when both DraftKings and FanDuel resigned from the American Gaming Association over conflicting prediction market strategies. Traditional operators fighting federal preemption on behalf of state-licensed exclusivity found themselves without their largest members. A permanent split between prediction market entrants and traditional-license defenders is now the structural reality of the US sports betting landscape.
The Margin Advantage That’s Driving $400M Investment Bets
The strategic case for prediction markets is not just about addressable market expansion. The unit economics are structurally superior to traditional sportsbook operations in ways that compound at scale.
Traditional sportsbook margins are heavily taxed at the state level. According to state gaming commission data, gaming tax rates range from approximately 6.75% in Nevada to 51% in New York, with most major markets sitting in the 20–36% range. Prediction markets, operating under CFTC jurisdiction as financial instruments rather than gaming products, replace state gaming taxes with CFTC-regulated trading fees. The net margin improvement is estimated at 10–30% depending on the state tax rate being substituted.
Kalshi’s numbers illustrate what this looks like at scale. Its 2025 fee revenue from sports contracts reached $263.5 million, with approximately 90% of total revenue tied to sports event contract trading. By early 2026, Kalshi had reached an annualized revenue run rate of $1.3 billion from sports contracts alone—at margins a traditional sportsbook operating in New York simply cannot match.
The investment commitments reflect operator conviction. DraftKings is projected to spend $400 million on prediction market build-out in 2026. Flutter is projecting a $200–250 million EBITDA loss building FanDuel Predicts to competitive scale. These are not feature budgets. They are platform investments, sized at the same order of magnitude as the original US sports betting market entry costs operators absorbed after PASPA repeal.
The cannibalization question has been the central concern for operators hesitant to accelerate. The data available so far suggests limited handle migration: operators are estimating a 5% decline in traditional sportsbook handle as prediction market volume grows, described internally as “low single digits.” More importantly, players who begin on prediction markets show a net wallet expansion effect, increasing total gambling spend by 9% even as individual platform allocation shifts. The prediction market user is, on average, a net-new dollars opportunity rather than a zero-sum substitution.
DCM Licenses, FCM Stacks, and Why Infrastructure Ownership Is the Moat
The most consequential infrastructure decision an operator makes in prediction markets is whether to own or rent the regulatory stack. The gap between those two positions is already compressing into a structural advantage that will be difficult to close after NFL 2026.
Operating a prediction market in the United States requires either a Designated Contract Market (DCM) license from the CFTC or a relationship with an FCM (Futures Commission Merchant) that holds one. Neither exists in a standard sportsbook technology stack. Sportsbook platforms are built for state gaming licenses, which govern wagering products under entirely different regulatory frameworks. The assumption that a CFTC-compliant trading infrastructure can be layered onto an existing sportsbook stack without a separate build is the single most common and costly mistake operators are making in early 2026.
The first-mover acquisitions defined the ownership tier. DraftKings acquired Railbird Exchange, a CFTC DCM-licensed platform, for $250 million. Fanatics acquired Paragon Global Markets, an FCM, in July 2025 for an undisclosed sum. Polymarket acquired QCX for $112 million to control its own exchange infrastructure. Each of these transactions bought the acquirer something more valuable than the asset itself: independence from white-label margin compression and platform dependency risk.
Second-tier operators are taking the white-label route. Betr partnered with Polymarket to reach its 1 million+ user base. Underdog partnered with Crypto.com’s CDNA exchange. These partnerships provide time-to-market speed but create structural constraints: the white-label operator cannot differentiate on product, cannot control the fee structure, and cannot build proprietary data advantages on a shared platform. A two-tier market is forming between operators who own a DCM/FCM stack and those who rent access to one. That gap tends to widen, not narrow, as volume scales.
FanDuel Predicts demonstrated the go-to-market speed advantage of CFTC jurisdiction in practical terms: a 50-state rollout in under four weeks. The same launch under state-by-state sportsbook licensing would require 30+ individual regulatory approvals, occupying 18–24 months of compliance and legal resources. For operators who have not yet secured federal licensing infrastructure, this comparison should inform urgency calculations.
Customer Acquisition126 Million Unreachable Adults Just Became Reachable
The addressable market expansion from prediction markets is not a minor incremental opportunity. It is a restructuring of the entire US sports betting TAM.
Approximately 126 million US adults—40% of the adult population—live in states where traditional sports betting is not legally available. California and Texas alone account for a significant share of this population, according to industry estimates. These consumers have been structurally excluded from the sportsbook customer acquisition funnel for the entirety of the post-PASPA era. CFTC jurisdiction changes that entirely: prediction market products can be offered legally in all 50 states without any state-level gaming approval.
Robinhood has become the dominant distribution channel for this newly reachable population. Over 50% of Kalshi’s trading volume flows through Robinhood’s platform, which described prediction markets as “the fastest growing product in its history.” Robinhood’s stock rose 220% in 2025, driven in significant part by this new product category. For sportsbook operators accustomed to building direct acquisition funnels through SEO, affiliate networks, and app store presence, the Robinhood channel represents a distribution dynamic with different economics, different user behavior, and different lifecycle expectations than anything in their existing playbooks.
The strategic implication extends beyond the initial acquisition. A prediction market user acquired in California has no sportsbook betting history and no state-jurisdiction event triggers. They are a net-new cohort requiring a distinct onboarding architecture. But they also represent a future cross-sell opportunity: if California eventually legalizes sports betting, operators with an established prediction market user base in the state will have a data and relationship advantage that new entrants cannot quickly replicate. The acquisition funnel is inverted—prediction markets are the top-of-funnel product in locked-out states, with sportsbook as the potential downstream conversion.
CRM GapYour Personalization Stack Doesn’t Know What a Prediction Market User Is
The operational assumption most operators are making—that their existing CRM and personalization infrastructure can serve prediction market users with modest configuration changes—is incorrect in ways that compound over time.
The problem begins with legal classification. Prediction market contracts are CFTC-regulated financial instruments. CRM communications that reference “bets,” “wagers,” “odds,” or “sports betting” in the context of prediction market users create regulatory exposure under the same CFTC framework that grants the favorable tax treatment. This is not a copyediting problem. It requires a separate content and compliance layer for every automated touchpoint—email, push notification, in-app messaging, and triggered campaign logic—that serves prediction market users.
The segmentation challenge runs deeper. A prediction market user acquired in Texas has no sportsbook deposit history, no state-jurisdiction event triggers, and no bet history in any existing operator database. The risk profiling models used to build CRM segments for sportsbook users—RFM scores, stake-tier assignments, churn probability curves calibrated on historical bet frequency—are all built on data types that simply don’t exist for this cohort. Feeding prediction market users into a sportsbook-derived segmentation model produces noise, not insight.
Event-driven triggers are the third gap. Sportsbook CRM is built around gaming signals: injury news triggers bet prompts, line movement triggers in-play notifications, upcoming fixtures trigger pre-match campaigns. In the prediction market context, these same triggers must be rebuilt as trading signals. A line movement in the sportsbook context becomes a contract price movement in the prediction market context—functionally similar behavior, but legally distinct framing that affects every downstream message, offer structure, and compliance review. Operators running a single trigger architecture across both products are accepting regulatory contamination risk in exchange for short-term development savings that will not hold.
The separation requirement is not just about compliance posture. It is about accuracy. A PM user’s trading behavior on sports contracts is functionally near-identical to a sportsbook bettor’s wager behavior—87% of Kalshi’s 2025 volume was sports event contracts (source: Kalshi trading data, via multiple industry reports). But the legal wrapper requires treating them as distinct products, which means distinct user journeys, distinct lifecycle stages, and distinct success metrics for CRM performance attribution.
Compliance Catch-22Responsible Gaming Is an Unresolved Structural Crisis for Prediction Markets
No dimension of the prediction market infrastructure problem is more consequential—or more under-discussed among operators—than responsible gaming compliance. Operators face a genuine structural dilemma with no clean resolution available before the legal landscape clarifies.
The CFTC framework explicitly excludes “gaming” contracts. The legal argument that gives prediction market operators their favorable tax treatment, their 50-state distribution, and their federal regulatory pathway is the argument that these are financial instruments, not gambling products. The problem is that the standard responsible gaming toolkit—self-exclusion programs, deposit limits, cooling-off periods, problem gambling messaging, state RG mandate compliance—is designed for gambling products. Implementing it in full may legally undermine the financial instrument classification that makes the product viable.
This is not a hypothetical concern. It is already a live legal question. Tennessee federal court issued a preliminary injunction in favor of Kalshi in February 2026, ruling that CFTC jurisdiction preempts state gaming regulation. Massachusetts state court reached the opposite conclusion in March 2026, rejecting Kalshi’s federal preemption argument and blocking state gaming regulators from being overridden. The circuit split created by these two decisions is the kind of unresolved constitutional question that most legal analysts expect will require Supreme Court resolution—a process that takes years, not months.
In the interim, operators are making material compliance bets without legal clarity. Those who implement full RG tooling to satisfy consumer protection expectations may hand opposing counsel ammunition in future litigation challenging their financial instrument classification. Those who under-implement face state attorney general enforcement actions, consumer protection liability, and reputational exposure if problem gambling outcomes emerge from a product presented as investment activity rather than gambling.
Five Infrastructure Decisions That Will Define Your 2026 Position
With $44 billion in 2025 volume as a baseline and NFL 2026 approaching as the first true large-scale stress test, operators who have not made these five infrastructure decisions are already behind the curve. Delaying does not reduce the complexity—it increases it, because each month of prediction market operation on an unsuitable stack adds technical debt, compliance exposure, and user data that was collected under the wrong architecture.
Decision 1: Build vs. Partner on DCM/FCM
Owning the license stack costs $100 million or more in acquisition and infrastructure investment. White-label partnerships provide faster time-to-market but create structural margin compression and platform dependency. The DraftKings ($250M Railbird), Fanatics (Paragon), and Polymarket ($112M QCX) acquisitions set the benchmark for what ownership costs. Operators who cannot make that investment need to assess whether a white-label partnership structure is genuinely viable at NFL 2026 volumes—or whether they are building a customer acquisition machine for someone else’s platform.
Decision 2: Unified vs. Separate CRM
A single CRM platform serving both sportsbook and prediction market users risks regulatory contamination—gaming-language campaigns reaching prediction market users, shared segmentation models producing inaccurate profiles, and compliance reviews that cannot cleanly audit which communications belong to which regulatory framework. Fully separate CRM systems cost more to build and maintain but provide a cleaner compliance boundary and more accurate performance attribution. The right answer depends on the operator’s specific volume mix, but the default assumption that unified is simpler is wrong when the legal classification differs between product lines.
Decision 3: Acquisition Sequencing
Prediction market users in California and Texas are a new cohort with no sportsbook history. The onboarding funnel that converts a Robinhood user to a prediction market contract trader is not the same funnel that converts a DraftKings sportsbook user to a new product. Building an onboarding architecture that treats PM users as net-new customers—with their own lifecycle stage definitions, their own activation triggers, and their own cross-sell logic—is the correct approach. Operators who route PM users into sportsbook acquisition flows are degrading both funnels simultaneously.
Decision 4: Event Trigger Architecture
Prediction market CRM must fire on trading signals—contract price movement, volume spikes, contract expiry approaching, spread compression—not gaming signals. The event trigger layer is where the legal classification difference has the most direct operational consequence. Building separate trigger logic for PM users is not optional if the operator wants to maintain the financial instrument framing under regulatory scrutiny. This architecture decision also affects the personalization quality: a PM user responding to a contract price movement prompt has a meaningfully different intent profile than a sportsbook user responding to an injury news push. Treating them the same degrades the CRM signal.
Decision 5: RG Posture Documentation
Given the unresolved legal landscape, every responsible gaming feature that an operator includes or excludes from its prediction market product needs documented legal rationale before NFL 2026 volume creates audit exposure. This is not about whether to care about problem gambling—it is about ensuring that the operator’s compliance decisions are defensible under both the CFTC financial instrument framework and state consumer protection standards. The operators who will be best positioned when the Supreme Court eventually resolves the circuit split are those who built a documented, principled compliance architecture now, rather than those who bolted on RG tooling reactively after regulatory attention arrived.
Data Sources & References
- DeFiRate: Prediction Markets Hit $5.9B — Kalshi/Polymarket Combined Weekly Record — $44B+ 2025 combined volume, weekly record data
- InGame: Kalshi Worth More Than DraftKings — $11B valuation, 8.5x MAU growth (600K → 5.1M)
- Covers: Kalshi Prediction Markets Stealing Market Space — $1.3B annualized revenue run rate, sports contract dominance
- Gambling Insider: Top Prediction Markets — market structure, operator landscape
- Next Event Horizon: Prediction Markets Are Mostly Sports Betting — user growth data, sports contract volume analysis
- Phemex: Kalshi and Polymarket Dominate 97.5% of Prediction Market in 2025 — market share, volume growth trajectory
- KuCoin: Kalshi and Polymarket 97.5% Market Share — duopoly structure confirmation
- CFTC Framework: Commodity Exchange Act, 7 U.S.C. § 2(e) — legal basis for prediction market classification as financial instruments