Kalshi Hits $1 Billion Monthly Trading Volume, Cementing Its Global Leadership

Kalshi’s Surge in the Prediction Market

In the past year, Kalshi has undergone remarkable growth, surpassing $1 billion in monthly trading volume. This achievement has positioned the company as the dominant force within the prediction market industry worldwide.

Global Market Share and Trading Activity

Recent publicly available data indicates that Kalshi now commands over 62% of the global prediction market’s trading volume, a massive increase from just over 3% the previous year. Despite being accessible only to US-based users, Kalshi has captured a significant share of worldwide trading. Similarly, the number of transactions processed by Kalshi has jumped from under 13% to nearly 64% within a year.

The platform also set a record with over 588,000 trades on a single day during the second week of the NFL season. Although its sports betting options are not as extensive as those found on bigger platforms like FanDuel and DraftKings, this marks Kalshi’s initial expansion into sports-related prediction offerings.

These milestones come during a period of legal uncertainty for prediction markets in the US, where ongoing regulatory challenges, particularly around “swaps,” may pose hurdles for Kalshi and similar operators.

Driving Factors Behind Kalshi’s Growth

Kalshi’s CEO, Tarek Mansour, attributes the company’s success to its commitment to building a user-focused platform. Rather than prioritizing growth metrics, the team devoted their efforts to developing a product that genuinely resonates with users, trusting that strong results would naturally follow.

“The rapid growth we are witnessing is a reflection of the team’s dedication to creating a platform we truly believe in. We focused on the product and let the outcomes follow,” said Mansour.

Another key to Kalshi’s rapid expansion is its strategic move into new sectors like cryptocurrency. In May, the company formed a partnership with Solana, a blockchain platform known for its speed and decentralized applications. This collaboration is aimed at enhancing prediction market infrastructure and attracting a broader user base.