As we all know, the wonderful domestic dog did not appear overnight in the form of a loudly wheezing pug. The ancestors of everyone’s favourite pet (settle down, cat people) first began lingering near human settlements because it was easier. Food was more reliable, survival required less effort, and humans benefited too, gaining early warning systems and protection. Over time, that proximity turned into integration.
Prediction markets have spent years proving they’re not house-trained, but now it looks like the model could find a place by the fire.
Domestication begins with proximity
For the past few years, prediction markets have existed just outside the sportsbook world, attracting users who preferred trading on outcomes rather than placing fixed bets. Instead of the operator deciding the odds, prices moved based on what people believed would happen.
Platforms like Polymarket and Kalshi have shown that this model can work on its own. They don’t rely on bookmakers in the traditional sense, and they have built their own audiences without needing to plug into sportsbook infrastructure. They remain separate, although close enough for the industry to start paying attention.
We should get a puppy
It seems some operators have already begun testing the waters. DraftKings, for example, recently moved to acquire a CFTC-regulated exchange licence, positioning itself to launch its own prediction market product rather than relying solely on traditional sportsbook mechanics. FanDuel’s parent company, Flutter, has taken a similar approach, experimenting with prediction-style products internally instead of partnering directly with existing platforms.
Having seen the advantages up close, it looks like sportsbooks could start raising their own puppies.
With the emergence of turnkey suppliers, and operators exploring their own prediction market products, the technical and regulatory foundations are already beginning to take shape. Operators could now integrate prediction market mechanics into their platforms, allowing outcome-based trading to exist alongside sportsbook and casino products.
Prediction markets were never built for the house
Prediction markets gained popularity because they removed the bookmaker from its usual role. Instead of the operator setting the odds, prices moved based on what users were willing to pay at any given moment.
People could change their position as events unfolded, reacting to what they were seeing in real time, rather than placing a bet and waiting for the outcome. It was less like betting and more like watching opinion take shape in front of you.
For operators, this is both a warning and an invitation. Prediction markets demonstrated that users were interested in more interactive ways of engaging with uncertainty, but they were able to do it beyond the sportsbook’s reach.
Keeping people around for longer
Consumers of these products behave differently when they aren’t locked into a single decision. Instead of placing a bet and walking away, they can react to what is happening, change their position, and remain involved as events unfold. It turns the experience into something ongoing rather than something final, which, unsurprisingly, keeps people around for longer.
For sportsbooks, that presents a fairly obvious choice. They can watch that behaviour develop elsewhere on platforms they don’t control, or they could incorporate the same mechanics into their own products.
By doing so, operators could offer similar experiences without relying on external providers, allowing users to stay engaged within the sportsbook environment rather than drifting away from it.
In the process, the sportsbook itself could begin to feel less like a fixed product and more like a place where different ways of engaging can exist side by side. It would’t replace what already exists, but expand it, adapting to behaviour that has already proven its appeal.
Domestication is adaptation, not surrender
Prediction markets do not need sportsbooks in order to exist, and sportsbooks do not require prediction markets in order to operate, but integration could offer clear advantages for both models. The prediction market model could gain access to infrastructure, regulatory cover, and audiences that sportsbooks have spent decades building, while sportsbooks gain access to mechanics that reflect changing user behaviour without needing to develop them independently.
Of course prediction markets are still very much their own species, but sportsbooks have seen what works, and now might be a good time to consider house-training the puppy that’s been scratching at your door.
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