The Ministry of Treasury released new data showing the size of the regulated betting market in the country. Between January and September 2025, 25 million active bettors were counted in the official system. The data was obtained by Pay4Fun, through a response from the Ministry of Treasury to a request made by the company via the Access to Information Law (LAI).
According to the report, 68.3% of active bettors are men, while 31.7% are women. However, the breakdown by age group was not disclosed. The Secretariat of Prizes and Betting states that the age-related information is not yet fully consolidated and would require “additional processing effort,” which is not feasible within the legal timeframe.
The sector moved R$ 27.7 billion and generated R$ 3.32 billion for the Federal Government.
Betting operators working under the currently authorized and regulated model generated R$ 27.7 billion in GGR (Gross Gaming Revenue) during the period.
Of that total, R$ 3.327 billion was collected in federal taxes, according to public information provided by the Ministry of Finance via the Access to Information Law.
The amount corresponds to the 12% tax rate stipulated in the betting law on the GGR (Gross Revenue Management) of the operators.
Where did the money go?
The distribution of federal tax revenue was as follows, according to the Ministry of Treasury:
- Sport: R$ 1.221.426.979,90
- Turism: R$ 953.198.321,29
- Public Security: R$ 461.702.907,26
- Social Security: R$ 347.374.685,05
- Education: R$ 342.181.167,80
- Health: R$ 34.586.983,28
- Civil Society: R$ 16.899.176,83
- FUNAPOL (Federal Police): R$ 18.322.369,36
- ABDI: R$ 13.636.467,09
“The new data shows the true scale of the regulated market in Brazil,” said Leonardo Baptista, CEO and co-founder of Pay4Fun.
“When the country sheds light on figures such as revenue, the profile of bettors, and the destination of resources, the entire ecosystem benefits: the government collects more, consumers have more security, and reputable companies can operate in a competitive and predictable environment,” he added.
