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Amid a string of losses in federal appellate courts, it appears increasingly prediction markets are angling to take their cases to the U.S. Supreme Court, banking that the high court will allow them to continue offering sports event contracts free of state gambling regulations.

Some legal experts and members of the investment community believe it’s possible the Supreme Court could hear a prediction market case at some point over the next six or seven months.

The post Macquarie: Prediction Market ‘Taker’ Volume to Reach $190 Billion in 2026 appeared first on Casino.org.

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Before Patrick Mahomes laced up his cleats for his 2026-2027 NFL regular-season debut, US prediction markets had already cleared a historic benchmark for the opening week of the season.

Two operators alone – Kalshi and Polymarket – topped the combined $1 billion mark in NFL trading activity over the first six days of Week 1, according to numerous measures this week. During the period, Kalshi recorded NFL volume of $983.4 million, according to DeFi Rate, earning the pole position by a large margin. Mahomes and the Kansas City Chiefs thrashed the Denver Broncos 31-10 on Monday Night Football, capping the largest week for prediction markets ever.

Even before the primetime matchup in Kansas City, it became abundantly clear that the industry would shatter previous marks for weekly activity. The AFC West showdown bolstered the already robust totals. Overall, volume for the week hit a record $15.9 billion, according to Bank of America, up 16% from a week earlier.

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They must also evaluate their current technical safeguards to ensure alignment with regulator expectations and certification standards.

Safeguarding has reappeared as a focal point for the regulator. In July of this year, ANJ imposed a €500,000 ($572,797) fine on an unnamed online betting operator, referred to as Company X, for not adequately identifying and supporting customers exhibiting signs of problematic gambling. 

The fine followed an investigation that found Company X had failed to correctly identify 29 high-risk players at an appropriate risk level. Six players were missed entirely and 23 were misclassified at a lower risk tier.