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Prediction Markets Cited as Rapidly Scaling to Multi-Billion-Dollar Trading Volumes

Prediction Markets Cited as Rapidly Scaling to Multi-Billion-Dollar Trading Volumes

According to a recent LinkedIn post from Range, prediction-market trading volume has expanded from less than $1B in 2022 to about $63B last year, driven by several structural and cyclical catalysts. The post attributes the surge to U.S. federal recognition of prediction markets via Kalshi’s legal win against the CFTC in May 2025, rising election-related interest, legalization of sports-related contracts, and new institutional capital.

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The company’s LinkedIn post highlights that Kalshi alone purportedly handled more than $1B in trading volume on Super Bowl Sunday, while major investors including the NYSE parent company, Sequoia, Paradigm, and a16z are cited as backing the sector, with Kalshi referenced at a reported $22B valuation. For investors, this narrative suggests that prediction markets may be transitioning from niche platforms to an emerging asset class with growing institutional participation, potentially expanding the addressable market for infrastructure, analytics, and compliance providers such as Range.

The post further indicates that prediction markets are being used as real-time odds references for major events, with Polymarket described as a trusted source for 2024 election probabilities among media outlets. If this trend continues, it could deepen liquidity and improve price discovery, which in turn may support higher trading volumes, more sophisticated product offerings, and greater demand for risk, data, and workflow tools servicing this ecosystem.

As teased in the post, upcoming commentary from Range is positioned to address long-term market size and user implications, signaling continued thought leadership around the sector’s maturation. While the post is promotional in tone and specific figures cannot be independently verified from the content alone, it underscores a view that prediction markets could be entering a scale phase, with implications for revenue growth potential and competitive positioning of firms that enable trading, settlement, and analytics in this space.

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