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“The video itself is the game,” Yashin explains. “We are as quick as crash games, but the pattern and the feel are more like betting. We are combining two different worlds – betting and quick games.”

The rise of prediction markets reflects the same broader trend: consumers increasingly want a simple, intuitive way to take a position on what happens next. Swipe Games brings that behaviour into a casino format, turning short-form content into an instantly playable experience with outcomes revealed in seconds.

If Swipe Games’ proposition is unfamiliar, Yashin says the speed of the industry’s response suggests it is not difficult to understand.

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Several operators have announced shop closures over recent months, including Entain and Flutter, citing a rising tax burden.

Online casino games remained the largest segment of the remote market, generating £5.7 billion ($7.6 billion) in GGY, with slots accounting for £4.8 billion ($6.4 billion) of that total.

Remote sports betting generated £2.4 billion ($3.2 billion), led by football at £1.2 billion ($1.6 billion) and horseracing at £769.3 million ($1.03 billion).

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The investment banking and capital markets firm Jefferies said in a September report that sports had become prediction markets’ “most important liquidity driver”, with combo and parlay-style contracts accounting for an increasing share of activity. But the analysts cautioned that prediction markets are scale businesses with relatively low revenue yields, leaving their economics dependent on sustained liquidity, engagement and trading activity.

James Monk, founder of sports data and streaming provider Catalist Sports, has witnessed that dependence directly. Catalist supplies ITF tennis data to Kalshi and Polymarket and has an exclusive US sports-streaming agreement with Kalshi.

The company must also provide data to the firms making markets on those events.