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Last year, the DRC’s Minister of Finance Doudou Fwamba estimated iGaming operators generated around $1.7 billion in annual revenue, yet contributed approximately $1 million in taxes.

A CEO of a prominent operator in the DRC last year told iGB the tax system largely operates on a declaration basis of how much operators report to the government.

“Operators do pay, yes, but they pay whatever suits them,” they said. “In other words, we effectively pay what benefits us. All the while, the state has no means of monitoring its regulatory policies.”

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Almost six in 10 (57%) of the sports betting demographic said they bet weekly, with 17% betting on a daily basis. Nearly one in five (19%) said they have outstanding sports betting debts.

Frequent bettors are significantly more likely to report that their betting habits are impacting other corners of their financial lives. Of those who bet daily on sports, 40% say they have debts that they attribute to wagers they made,” the report said.

“Nearly half of all respondents (45%) say they’ve borrowed money to place sports bets, with 13% taking out a personal loan to bankroll their betting and 11% securing funds through a high-interest payday loan,” the report continued.

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Jefferies described market makers as the ecosystem’s “liquidity backbone”. They post executable bids and offers, manage inventory and provide prices when customer activity is heavily weighted to one side.

The analysts estimated that an operator capturing a one-cent spread and managing its exposure successfully could generate net economics of approximately $1.69 on a $100 trade. Returns are not guaranteed: adverse price movements and unresolved inventory can offset or exceed income from spreads, rebates and liquidity incentives.

The operational infrastructure available to these new firms, however, remains underdeveloped. Gonzalez contrasts prediction markets with equities, where trading businesses can use prime brokers, clearinghouses and standardised systems such as FIX.