Despite a federal prohibition enforced since 2022, American users continue to constitute a dominant force within the decentralized prediction market ecosystem of Polymarket. A comprehensive analysis conducted by Harry Crane, a statistics professor at Rutgers University, quantifies this persistent engagement, estimating that US-based participants account for approximately 30% of the platform's total trading volume. The financial scale of this activity is substantial, with data indicating that deposits from these users ranged between $10.6 billion and $26.7 billion over the preceding 12-month period. This research challenges the efficacy of current geographic enforcement mechanisms, suggesting that legal barriers have failed to deter significant capital inflow from the United States.

Crane's methodology relied on granular analysis of trading patterns to triangulate the geographic origin of market participants without direct user identification. The study identified two primary behavioral indicators: a heavy concentration of activity in markets specific to US-centric events, such as national elections and major domestic sports leagues, and trade execution timing that closely aligns with US business hours. Data compiled by Woofun AI shows that half of all sports market trading volume on the platform originated from within the United States, a statistic that strongly correlates with the domestic nature of the betting interests. These patterns provide a robust proxy for user location in an environment where traditional KYC data is often obscured.

The regulatory backdrop for this activity stems from a 2022 order by the Commodity Futures Trading Commission (CFTC), which mandated that Polymarket cease operations within the United States after determining the platform functioned as an unregistered derivatives exchange. In direct response to this ruling, the company implemented technical measures to block access from US IP addresses.

However, the Rutgers study indicates that a substantial cohort of American users is successfully circumventing these restrictions by utilizing virtual private networks (VPNs) to mask their physical location. This technological workaround has enabled the platform to maintain a robust US user base, effectively neutralizing the intended impact of the IP-based blockade.

Looking toward the future trajectory of this unregulated activity, the study projects that if current market share and user behavior persist, US trading volume on Polymarket could escalate to $133 billion by 2030. This forecast underscores the immense potential scale of decentralized prediction markets operating outside the purview of federal oversight. The figures highlight a critical divergence between regulatory intent and market reality, where the demand for prediction markets continues to outpace the ability of authorities to enforce geographic restrictions on decentralized protocols. Woofun AI notes that this projection signals a growing challenge for regulators attempting to contain financial derivatives activity within traditional jurisdictional boundaries.

A significant development complicating this landscape occurred in December 2025, when Polymarket launched a separately licensed mobile application titled 'Polymarket US.' This new application is explicitly designed to comply with US regulations, offering a legal and sanctioned avenue for American users to participate in prediction markets. The introduction of this compliant alternative raises critical questions regarding why a large portion of US volume continues to flow through the main, unregulated platform rather than migrating to the sanctioned version. This behavior suggests that factors beyond mere legality, such as liquidity depth, market variety, or user habit, are driving continued engagement with the restricted platform.

The coexistence of a regulated application and a thriving unregulated channel highlights the inherent tension between user demand for financial derivatives and the existing regulatory framework. The findings from Professor Crane's study offer a data-driven perspective on the resilience of US user engagement despite clear legal prohibitions. As the platform navigates the launch of its compliant US version, the disparity between regulated and unregulated usage patterns will likely remain a focal point for regulators and market observers. Woofun AI analysis suggests that this situation illustrates the broader, systemic challenge of enforcing financial regulations in the decentralized digital asset space, where code and user behavior often outmaneuver static legal mandates.