Evolution

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In 2025, Brazil collected almost BRL10 billion ($1.97 billion) in tax revenue from the licensed sector. In the first seven months of this year alone, BRL8.7 billion generated by the activity was delivered to public coffers. The Federal Revenue Service itself estimates that the sector should reach BRL16 billion in revenue during 2026.

Besides revenue collection, another concern is legal and economic. Companies have paid over BRL2.5 billion for licences since the sector’s regulation. Certainly, the end of the activity would lead to litigation to recover the amounts paid and compensation for investments made. Furthermore, the revenue from betting is already included in the Annual Budget Law and the Budget Guidelines Law, which define the priorities for federal government spending.

What worries the sector is not just the threat of drastic measures against legalised betting. So far, the government has consistently fallen short in its attempts to curb the illegal market, which still represents almost half of the segment.

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Despite the increase in remote GGY, new account registrations fell 3% to 32.4 million. There were 25.7 million active accounts at the end of the final reporting quarter.

Funds held in customer accounts also declined sharply. Operators held £886.6 million ($1.19 billion), down 13.9% from the same point a year earlier.

Retail betting diverged significantly from the wider market, with non-remote betting GGY falling 3.3% to £2.4 billion ($3.2 billion). The number of betting shops dropped for a 12th consecutive reporting period to 5,617 premises—a 3.6% annual decline (down 208 shops from March 2025).

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The report singled out several marketing tactics which had been flagged as particuarly concerning.

The first was direct marketing (emails, texts, push notifications). Citing randomised studies, the committee noted that limiting direct marketing resulted in reduced betting and fewer short-term harms. 

Referencing an Australian study on direct marketing and its link to gambling harms, Dr Philip Newall, senior lecturer at the University of Bristol noted that “causality was established by getting a random subset of participants to opt-out of receiving direct marketing offers”.