This literature review introduces the unregulated and unlicensed ecosystem of gambling on the Dark Web. It is the first of two reports that will be published over the next few months. Conducted over a two-week period, this desktop literature review aims to (i) shed light on the challenges of researching the Dark Web and (ii) provide an overview of gambling within the Dark Web, based on existing literature.
The report is a summary study of the published research available, with the aim of providing a common level of understanding for readers. It has been written without accessing the Dark Web itself. A total of twenty-one research reports were carefully examined, all of which are listed in the references section of this paper. This literature review has found that Dark Web gambling is a complex and intriguing issue. It exists in a parallel world that offers a wide range of casino-style games like poker, blackjack, roulette, sports betting, lottery, fruit machines, sweepstakes, and video game contests. The literature review has found that Dark Web gambling site users are a diverse group, including those seeking anonymity, those circumventing local gambling laws, and even professional gamblers excluded from regulated sites.
The Dark Web market is valued at around $1.7 billion in 2023 and is expected to grow to over $3 billion by 2027 and almost $9 billion by 2032. This represents a compound annual growth rate (CAGR) of approximately 21% from 2023 to 2032. The characteristics of Dark Web users are also diverse. They may include technology experts, privacy defenders, political activists, government agencies, as well as sellers and buyers of illegal products or services (such as gambling).
This desktop analysis has been a useful first step in understanding the literature. This analysis highlights there is limited literature, but equally, it paints what appears to be a concerning picture of gambling on the Dark Web.
Click the below to download and view our complete Dark Web Literature Review document
CLICK HERE TO DOWNLOAD