The US prediction market ecosystem is undergoing a rapid transition from a fringe financial product into a broadly distributed mechanism for trading, according to industry analysis by Eilers and Krejcik Gaming (EKG).
Whereas regulated online sportsbooks operate within a fragmented, state-by-state licensing and taxation framework, prediction markets are designed for national reach from day one.
That structural advantage allows them to scale through online distribution and to integrate more naturally into platforms where users already express opinions, exchange value, or consume information.
In EKG’s view, this dynamic has created an unprecedented intersection of finance, media, technology, and cultural participation.
The analysis argues that prediction markets may offer a product which is differentiated enough from existing gambling and financial services to merit a broader rethink of how they are categorised altogether.
Rather than fitting neatly into a single consumer vertical, prediction markets have the potential to reorder multiple categories at once, including gambling, media, and finance.
Importantly, the report stresses that prediction markets, which cover a broad range of subject matter, are not a monolith.
The analysts explain: “It’s well within the realm of the plausible that some kinds of markets may be more controversial, subject to greater scrutiny, or more likely to be limited or banned than others.
“Sports markets come immediately to mind, but are not the only category of markets that may end up as an outlier in some way, shape, or form.”
Currently, sports represent the largest single category of prediction market activity, but they account for just one part of a broader ecosystem.
EKG highlights financial markets, politics, news-driven events, crypto-linked benchmarks, cultural outcomes, and other objectively verifiable events as viable areas for contract creation.
Because contracts can be written around almost any measurable outcome, the ceiling for market expansion is considerably higher than in traditional betting models.
$1 trillion annually
Notably, the report estimates that a mature US prediction market ecosystem could exceed $1tn in annual trading volume.
Despite their current dominance, sports are projected to account for less than half of that total, with EKG estimating a 44% share as non-sports markets continue to scale.
A separate analysis by Citizens Financial Group recently projected the sector could generate more than $10bn in annual revenue by 2030, roughly five times its current size.
Crucially, prediction market operators’ underlying economic model also differs meaningfully from traditional gambling.
Rather than relying primarily on house edge, prediction markets generate revenue through transaction fees, subscriptions, data products, advertising, and cross-selling into adjacent financial services.
This layered approach more closely resembles fintech exchanges than sportsbooks, and helps explain EKG’s projected steady-state EBITDA margins of 25% to 45% for pure-play operators.
Those margins are supported by lower structural costs and the absence of state-level gaming taxes.
Despite surface-level similarities to sports betting, EKG emphasises that the normalisation of prediction markets is not being driven by legacy gambling operators or state policymakers.
Instead, momentum is coming from powerful political figures, large fintech platforms, and venture capital firms with a bias toward disruption.
This represents an inversion of the traditional online sportsbook model, where legitimacy flowed from regulatory approval. In the case of prediction markets, legitimacy is increasingly shaped by distribution, institutional backing, and cultural visibility.
The report points to figures such as President Donald Trump and members of his family, alongside companies including Coinbase, Kalshi, and Gemini, highlighting direct and indirect ties that have helped accelerate awareness and adoption over the past year.
On market distribution and disruption
Distribution remains one of the sector’s most important wild cards. For example, there is a compelling on-paper case for integrating prediction markets directly into major social media platforms, according to the analysis.
Opinions are already shared at scale on such platforms, raising the question of why these should not be monetised through tradable markets.
Previous efforts by social platforms to enter online sports betting were slowed by regulatory complexity and limited upside. Prediction markets can plausibly argue they face fewer barriers on both fronts.
A successful integration that allows users to trade without leaving platforms such as TikTok or X would materially expand the total addressable market, speed normalisation, and reinforce the perception that prediction markets are a permanent fixture rather than a niche experiment.
Another unresolved variable is how sports stakeholders will ultimately respond. League-level acceptance of sports prediction markets could prove critical for driving casual participation, which will likely be essential for long-term profitability.
Sports teams also remain influential marketing partners with meaningful political leverage at both the state and federal levels, and access to league marks or player likenesses can make products feel more credible to mainstream consumers.
At the same time, it is far from certain that leagues, teams, and player unions will align around a shared strategy, particularly as the number and diversity of prediction market operators continues to grow.
The potential for cross-selling is another area where expectations currently exceed proven results.
While it is easy to assume that a user introduced to prediction markets through a crypto exchange will naturally begin trading digital assets as well, real-world evidence of this remains limited.
Until operators can show sustained and repeatable cross-sell engagement, the depth of these relationships remains an open question.
Even so, EKG leans cautiously optimistic that cross-product activity will improve as platforms refine incentives, onboarding flows, and product education.
More regulatory involvement a certainty
The sector’s regulatory outlook remains uncertain. Litigation or federal legislation could still materially alter the trajectory of prediction markets.
However, EKG suggests that a future Democratic administration may face more constraints than commonly assumed if it sought to reverse recent momentum.
EKG’s analysts suggest: “Rolling back prediction markets is unlikely to be a headline issue for the Democratic base (with some exceptions) and Democrats will have to carefully consider the pushback from the crypto lobby (one of the painful lessons learned in the 2024 cycle) before taking any aggressive action.
“There’s also the possibility that the courts may have spoken on the issue at that point in a way that makes returning said genie to said bottle an exceedingly cumbersome task.”
Finally, EKG considers how closely prediction markets may eventually resemble casino products.
Financial speculation has a long history of gravitating toward experiences that mirror slot-style mechanics, it argues, characterised by high volatility, limited decision-making, and asymmetric risk-reward profiles.
The US gaming industry has also repeatedly used non-traditional outcome engines, such as bingo systems or historical race results, to power slot-style games.
Taken together, these trends suggest that prediction markets are likely to adopt more casino-like characteristics over time and could even serve as the underlying outcomes for casino-style products.
The remaining questions centre on how quickly this evolution occurs, how aggressively operators pursue it, and how effective any regulatory or political pushback proves to be against the economic incentives driving that shift.