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The $10 trillion forecast also implies significant growth in just five years from what previously stood as some of the most optimistic 2030 projections. In April, Bernstein estimated prediction market volume will ascend to $1 trillion by 2030 while Bank of America said prediction markets will eventually grow to $1.1 trillion in yearly turnover. A July report from Macquarie analyst Chad Beynon included a $1.5 trillion annual volume forecast by 2030.
If Bernstein’s $10 trillion prediction market turnover forecast is realized or exceeded, it’d likely prove significant in revenue terms because the research firm previously estimated that $1 trillion in yearly activity could generate as much as $10.8 billion in revenue for operators.
As has been widely documented, sports event contracts are currently the lifeblood of the prediction market industry, but Bernstein notes that won’t be the case on a permanent basis. In fact, the research firm estimates that sports derivatives’ share of industry volume will decline to 35% in 2035, indicating that the aforementioned volume increase will be led by other categories.
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The proposal does not explicitly prohibit the display of betting brands on team jerseys, but some city councillors want to include this in the bill.
Clubs fear the measure will jeopardise revenue from betting company sponsorships. Corinthians (Esportes da Sorte), Palmeiras (Sportingbet), and São Paulo (Superbet) alone hold contracts worth BRL350 million annually with betting firms.
One concern is the measure might force clubs to host matches outside the city to maintain their advertising agreements.
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Entering iGaming from the outside was nerve-racking, but it has actually turned out to be my biggest advantage. I have no preconceived ideas about how things should be done, and I’m not playing anybody else’s rulebook.
I believe that the industry needs more outside voices. People who come in and look at problems from a different perspective, and who are not constantly worrying about past mistakes.
Technology, especially AI, is impacting all industries, and the more we can learn from one another, the better.