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While in-person casino revenue declined in Delaware, New Jersey, and Pennsylvania, iGaming reported GGR growth in each jurisdiction. iGaming revenue in New Jersey was up 4.4%, Pennsylvania’s online casinos saw GGR climb almost 6%, and Delaware iGaming surged 35%.
Though Maryland, Virginia, and New York do not have iGaming, prediction markets offering trading on everything from sports to politics continue to make their platforms accessible. Controversial sweepstakes casinos additionally continue to operate in Virginia and Maryland.
The American Gaming Association (AGA) believes many federally regulated prediction markets have transformed into illegal gambling and sports betting outfits, siphoning revenue from the legal, taxed gaming industry. Prediction markets, the trade group argues, threaten jobs and tax revenue, as do other forms of illegal gambling like skill games, sweepstakes casinos, and offshore sportsbooks.
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The DOCV, another trade body representing licensed online casino operators in Germany, also expressed support for the prosecutorial efforts. However, it emphasised that the raid exposed regulatory gaps which had allowed organised crime to flourish.
Kevin O’Neal, a DOCV board member, argued the scale of the investigation calls the GGL’s broader black market estimates into question. He cited the regulator’s 2025 activity report, which put the 2024 share at 23% (€547 million in gross gaming revenue), against Nielsen data suggesting a share of around 56%.
The trade body has long been critical over the discrepancy between channelisation estimates made by the regulator, and other independent reviewers.
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Conducted in 2026, it surveyed 70 professionals actively engaged in VIP management, including VIP account managers, heads of VIP and consultants, with 64% employed directly by gambling operators.
The report sought to understand how VIP portfolios are managed daily, how the tools are utilised and other key operational challenges.
Although three-quarters of respondents rated their VIP data as good or very good, 71% reported data spread across multiple systems. Half admitted sometimes making decisions with incomplete or outdated information.