Prediction markets have quietly moved from academic experiments to one of the most discussed developments across finance, sports betting, and even research by measuring people’s opinions on a myriad of topics. What started as niche forecasting tools is now evolving into a global ecosystem where users trade on real-world outcomes — from football matches and elections to inflation rates and entertainment events.
Unlike traditional betting, prediction markets operate more like exchanges. Participants buy and sell “yes” or “no” shares in future outcomes, and prices move dynamically as sentiment changes in real time. The result is a live, crowd-driven probability engine that many analysts believe can outperform polls, pundits, and some even claim it will forever change the traditional odds models.
With crypto infrastructure, peer-to-peer liquidity, and broader event coverage, prediction markets are increasingly seen as a natural evolution of sports betting — not a replacement, but a complementary layer that changes how users interact with uncertainty.
From Academic Tool to Global Liquidity Engine
Prediction markets have grown rapidly over the past few years, driven by decentralized platforms and improved market accessibility. Instead of fixed odds offered by a bookmaker, users are able to trade contracts whose prices fluctuate between $0 and $1, representing probability. A contract trading at $0.72 implies a 72% perceived chance of that outcome.
This model creates several advantages:
- Continuous price discovery
- Transparent probabilities
- Peer-to-peer liquidity
- Coverage beyond traditional sports
- Real-time sentiment shifts
These markets now cover:
- Sports (football, NBA, etc)
- Politics (elections, policy decisions)
- Economics (interest rates, inflation)
- Entertainment (awards, celebrity events)
- Global events (geopolitics, tech launches)
The appeal is obvious: users aren’t just betting — they’re trading information in a scale never seen before.
Brazil: A Fast-Moving Market
Brazil represents one of the most interesting emerging landscapes for prediction markets at the moment. The sector currently sits in a grey zone, with discussions ongoing among financial authorities and policymakers.
At the same time, activity is increasing:
- Exchange-style event contracts linked to Selic rates and inflation
- Brokers exploring partnerships with prediction technology providers
- Brazilian users accessing decentralized platforms for political and sports outcomes
- Growing interest from both financial institutions and betting operators
This overlap between derivatives, betting, and forecasting is blurring traditional boundaries. Prediction markets in Brazil are increasingly viewed not just as gambling, but as informational instruments — which complicates classification and regulation.
B3 has approved contracts on Selic rates, inflation, and events like elections; XP and Clear use Kalshi’s tech. Brazilians access Polymarket for local bets, such as political outcomes and sports, while regulators study rules to avoid risks.
As authorities evaluate frameworks to manage risk, compliance, and consumer protection, the market continues to evolve organically and fast.
Europe: Mature Exchange-Like Models
Europe already offers a preview of what a structured prediction market ecosystem can look like. Exchange-style betting platforms have long allowed users to trade odds on football, politics, and major events.
Betfair and Smarkets lead in football (Premier League, UCL) and EU politics. Contracts on French or German elections show real probabilities, with billions in annual volume. The trend grows with integration into betting apps.
Here, prediction-style trading thrives due to:
- Strong AML frameworks
- Exchange regulation models
- Sophisticated user bases
- Deep liquidity in football markets
- Expansion into non-sports events
European users regularly trade contracts on:
- Premier League matches
- Champions League outcomes
- EU elections
- National political shifts
- Economic indicators
This environment has normalized the idea that betting and forecasting can function more like financial trading than traditional wagering.
United States: Regulated Meets Decentralized
The U.S. market is split between regulated event derivatives and decentralized crypto-native prediction platforms. Together, they are driving massive growth.
Centralized regulated platforms focus on:
- Interest rate predictions
- Economic indicators
- Political events
- Structured event derivatives
Meanwhile, decentralized platforms allow users to trade on virtually any real-world event. These operate without a traditional “house,” instead matching users directly. Companies like Kalshi (regulated by the CFTC) and the giant Polymarket dominate, valued at up to $20 billion each after funding rounds.
Polymarket, founded in 2020, is at the moment the largest decentralised platform and it uses USDC crypto to buy “yes/no” shares in real events like elections, oscar winners, and tournaments. It works like a P2P stock exchange: no “house”, users trade event shares (Taylor Swift pregnant? US attacks Cuba?). On-chain volume: $2.6 billion in 2025 (+180% year-on-year), driven by elections and sports.
This hybrid structure — regulated and decentralized — is accelerating innovation while also triggering regulatory debates around classification and consumer safeguards.
Why Betting Companies Are Moving In
For traditional sportsbooks and iGaming operators, prediction markets are not just a curiosity — they represent a strategic expansion. Key reasons include:
1. Higher Engagement
Users actively trade positions rather than placing one-off bets. Markets evolve constantly, keeping users involved longer in the operator’s platform.
2. Broader Event Coverage
Prediction markets extend beyond sports into politics, finance, entertainment, and global events. Increasing the reach and appeal to new potential bettors.
3. Transparent Pricing
Odds emerge organically from supply and demand, improving perceived fairness from bettors.
4. Hybrid Betting + Trading Model
Prediction markets combine gambling mechanics with investment-style participation.
5. New User Segments
They attract traders, analysts, and news-driven users and not just traditional bettors. This convergence is why sportsbooks, exchanges, and iGaming technology providers are exploring prediction-style products.
Partnerships and Infrastructure Expansion
The ecosystem is also expanding through partnerships between:
- Brokers and prediction platforms
- Media outlets and forecasting data providers
- Betting operators and exchange-style infrastructure
- iGaming tech suppliers launching prediction modules
These collaborations show prediction markets are not replacing sportsbooks — they’re becoming an additional layer within them.
Challenges Ahead
Despite the momentum, prediction markets face real challenges:
- Regulatory classification (betting vs derivatives vs information markets)
- Responsible gambling concerns
- AML and compliance requirements
- Market manipulation risks
- Jurisdictional differences
Some betting operators are lobbying for prediction markets to be classified as gambling, while others are investing in the space. This tension highlights how disruptive the model could become.
A Market That Could Reach Trillion-Dollar Scale
Prediction markets are no longer niche. Global volume has surged dramatically over the years, with billions traded across sports, politics, and economics every day. Analysts increasingly view them as decision-making tools, not just entertainment.
- Companies use them to forecast demand
- Governments monitor them for policy sentiment
- Traders use them as probabilistic signals
- Bettors use them for dynamic odds and potential higher wins
This multi-use nature is accelerating adoption and pushing prediction markets toward mainstream status.
What This Means for iGaming
For iGaming operators, prediction markets represent:
- A new product vertical
- An additional retention tool
- A crossover between betting and trading
- A way to diversify beyond sports
- A data-driven engagement layer
The operators that adapt early will likely benefit from increased engagement and broader audience reach.
PiXGaming, a renowned affiliate in the iGaming industry, is closely monitoring this shift. As prediction markets gain traction globally, the company is positioned to help operators capitalize on emerging demand by delivering high-quality, intent-driven traffic aligned with these evolving products.
Rather than treating prediction markets as a passing trend, the focus is on supporting operators as they integrate new formats and expand into hybrid betting environments with an affiliate partner with global reach that can support your expansion.
The Takeaway
Prediction markets are reshaping how people interact with uncertainty. By combining elements of trading, betting, and collective intelligence, they create a new category that sits between finance and iGaming.
Brazil is experimenting
Betano and other Brazilian bets: In Brazil, sites like Betano are integrating prediction-style over/under and “yes/no” contracts for Série A football and events like Copa do Brasil. They’re competing with brokers like XP in this space, especially as CVM discusses rules.
Europe is refining
Betfair and Smarkets are established betting exchanges already function like prediction markets for sports (e.g., Premier League matches) and politics. They allow users to trade odds directly, with billions in annual volume, and are pushing into more non-sports events under strict EU regulations.
The U.S. is scaling
CNN and Google Finance with Kalshi/Polymarket: Media-betting crossovers show interest; CNN partnered with Kalshi for election odds, while Google integrates their data, indirectly boosting betting apps that embed similar features.
Operators are watching closely
And as the lines between betting, forecasting, and trading continue to blur, prediction markets are likely to become one of the defining trends of the next phase of iGaming. Get in contact and let PiXGaming deliver high quality traffic to achieve your market goals.
