Betting on Africa : Why Prediction Markets Are the Next Big Thing and Who's Building It Here

Sometime In January this year, I was scrolling twitter when I came across a tweet saying an industry I thought was new did a ridiculous amount of dollars in volume. This is a category of financial product that most people outside of fintech, crypto circles have never heard of, and yet it processed over $27 billion in total volume as of early 2026. It has no house edge in the traditional sense. It does not care about your feelings. It is, by most measures, the most honest pricing mechanism ever built for future events. It is called a prediction market, and it has just had its iPhone moment.

The West built the infrastructure. The numbers are hard to argue with. Africa, and specifically Nigeria, has the culture, the hunger, and the demographic profile to become the most fertile ground for this thing to grow. Someone is going to make a lot of money at that intersection. And one company is already positioning itself to be there first.

Part 1: What Are Prediction Markets and Why Is Everyone Suddenly Betting on Everything?

To understand prediction markets, start with a simpler question: how do we actually know what is likely to happen?

Polls get it wrong. Analysts get it wrong. Pundits definitely get it wrong. But markets, where real money changes hands based on actual belief about actual outcomes, tend to get it closer to right. The reason is straightforward: when something costs you money to be wrong, you think harder before committing.

A prediction market is a trading platform built on this logic. You buy shares in a yes/no outcome. Will the Fed cut rates this quarter? Will Tinubu win re-election? Will Nigeria qualify for the 2026 World Cup? If you buy "yes" at 40 cents and it resolves as correct, you get a dollar. If it resolves as no, the contract expires worthless. The price of those contracts at any given moment reflects what the collective intelligence of all the traders in that market believes the probability to be. It is information aggregation through financial skin in the game.

This is not a new concept. Academic economists have been theorizing about prediction markets since the 1990s, and small platforms existed in the early internet era. But for most of their history, they were a curiosity for researchers and a niche hobby for a narrow slice of crypto-native traders.

Then two companies happened: Polymarket and Kalshi.

Polymarket launched in 2020 as a crypto-native platform built on the Polygon blockchain. It let users trade USDC on the outcomes of world events. Low fees, global access, clean interface. It found its audience slowly, until the 2024 US presidential election changed everything. Over $3.3 billion was wagered on the Trump vs. Harris outcome alone. Total platform volume went from $73 million in 2023 to roughly $9 billion in 2024. That is a 12,000% increase in a single year.

Kalshi took a different approach. Rather than leaning into crypto's permissionless ethos, it spent two years working through the regulatory process to become the first federally licensed prediction market in the United States. It is more expensive to trade on, more bureaucratic to onboard to, and more American-centric than Polymarket. It is also, as of late 2025, valued at $11 billion after closing a $1 billion funding round led by Paradigm.

Together, the two platforms generated a combined volume of more than $37 billion in 2025. Robinhood has launched a prediction market hub. Coinbase is building one. DraftKings acquired Railbird Exchange, a CFTC-regulated futures exchange, to enter the space. The NHL became the first major US sports league to license its trademarks to prediction market platforms. This is not niche anymore.

What is actually happening here is a structural shift in how people relate to information. Polling is discredited. Expert consensus gets mocked. But market-based probability estimates are harder to dismiss because they carry a cost. When a French trader bet heavily on Trump winning the 2024 election and walked away with tens of millions in profit, that was not luck. That was better analysis turning into better-priced contracts that the rest of the market had mispriced.

The global market for decentralized prediction markets is projected to grow from $1.4 billion in 2024 to nearly $95.5 billion by 2035, at a compound annual growth rate approaching 47 percent. Some analysts expect total annual volume to approach a trillion dollars by the end of this decade. Whatever the final number ends up being, the trajectory is clear: prediction markets are becoming financial infrastructure.

The question worth asking, if you are paying attention from Lagos or Abuja or Nairobi, is: where does Africa fit in all of this?

Part 2: Nigeria Is Already a Gambling Nation. Prediction Markets Are Just the Upgrade.

If you have ever walked through Lagos, you know what the betting shops look like. They are everywhere. Small storefronts with fluorescent lighting and half a dozen plastic chairs. Men hunched over phones, accumulator tickets printed and folded in shirt pockets. Bet9ja is among the most visited websites in the entire country. Around 60 million Nigerians are actively involved in sports betting. Nearly 53% of Nigerian adults place a bet at least once a day.

Nigeria is the second-largest gambling market on the African continent, trailing only South Africa. A 2025 study recorded 168.7 million sports bettors in Nigeria, the highest volume on the continent by some distance. On the trajectory Nigeria is on, with a younger, more mobile-native population, it will likely overtake South Africa in revenue terms within this decade.

None of this happened by accident, and none of it is irrational.

The naira lost roughly 70% of its value between 2023 and 2024. Youth unemployment, depending on which measure you use, sits somewhere between punishing and catastrophic. Formal investment vehicles are inaccessible to most people without a certain minimum capital or a broker relationship that assumes you already have money to grow. Sports betting fills a very specific gap: it is a financial instrument you can access with 500 naira on your phone, with an outcome you can research, analyze, and form an informed view on.

This is the part that outsiders consistently misread. They frame Nigerian sports betting as desperation gambling, as if people are blindly throwing money at random outcomes. That misses how it actually works on the ground. A young man in Surulere who follows the Premier League obsessively, who knows the injury reports and the form tables and the head-to-head records, is not gambling in any pure sense. He is trading his knowledge advantage against the market. He is doing, with football odds, exactly what a hedge fund analyst does with earnings estimates: using better information to price a future event.

The problem is not the behavior. The problem is the product. Traditional sports betting is designed to extract money from you. The house takes a cut on every transaction. The odds are built with a margin baked in. Over enough bets, the house always wins, not because bettors are stupid but because the structure guarantees it. The information edge you have is real but the playing field is designed to erode it.

Prediction markets are structurally different. You are not betting against the house. You are trading against other participants. When you buy a contract at 40 cents, someone else has decided to sell it at that price because they think the probability is lower. The platform takes a small fee on the transaction. The rest of the value flows between traders based on who was right. This is peer-to-peer price discovery, not a lottery with a branded interface.

For a Nigerian user who has already internalized the logic of sports betting, who already knows how to read odds, stake capital through a mobile app, and wait for an outcome to resolve, the conceptual leap to prediction markets is not that large. The mechanics feel familiar. The applications are just broader. Instead of Arsenal vs. Tottenham, you can trade on whether the CBN will devalue again, whether a specific election result will hold, whether a startup will close its next funding round.

A 2025 GeoPoll survey found that 91% of African bettors use a mobile phone to place their bets, with Nigeria showing some of the highest rates of engagement. The same infrastructure that made sports betting possible — mobile money, smartphone penetration, a generation comfortable transacting entirely through their phones — also makes prediction markets viable at scale. The behavioral and technical foundations are already in place.

There is also something culturally distinct about how Nigerians engage with prediction. This is a country where people have strong opinions about everything, where debates about football or politics will hold a barbershop for three hours, where collective intelligence about local events is extremely high and local in ways that no international platform will ever accurately price. That information asymmetry is exactly the kind of edge that sophisticated prediction market traders look for.

The question is not whether Nigeria is ready for prediction markets. The behavior has been there for years. The question is whether anyone is building the right product for this context.

Part 3: The Opportunity, the Obstacles, and Who's Building It in Africa

Let us be precise about the size of what we are talking about.

The sports betting market across Africa is already substantial and accelerating. Nigeria's online sports betting revenue is currently projected to reach $325 million in 2025 and grow to $420 million by 2030 at a CAGR of 5.26%. Those numbers look conservative given the pace of smartphone and internet adoption across the continent. Africa's broader sports betting market is growing at a 17% CAGR, outpacing Asia's 10% and Latin America's 8%.

Now consider what prediction markets add on top of that base. Sports is just one category. The Polymarket and Kalshi model covers politics, macroeconomics, interest rates, corporate earnings, cultural events, scientific milestones, crypto prices. Each of those categories maps directly onto things Nigerian and African users already have strong views about and currently have no structured financial mechanism to express. There is no liquid, low-friction way to trade your view that a particular African government will default on its debt, or that inflation will spike past a certain threshold, or that a particular musician will win a specific award. Prediction markets create that mechanism.

There is a further dimension that deserves attention. A startup raises $35 million on a thesis about what price SMEs will pay for embedded finance. Pre-launch research says 8%. Market reality turns out to be 4%. That gap costs $35 million. A functioning prediction market could have priced that probability more accurately, earlier, based on distributed knowledge from operators who had already tried and failed. The information value of these markets extends beyond individual traders into the broader ecosystem of capital allocation. For a continent where bad information costs billions in misallocated capital every year, that is not a marginal improvement. It is structural.

The obstacles are real

Prediction markets in Africa face several layers of friction that do not exist in the same way for Western platforms.

Regulation is the first and most consequential. Nigeria's gambling regulatory environment is fragmented between federal and state authorities, with an ongoing dispute between the National Lottery Regulatory Commission and state bodies like the Lagos State Lotteries and Gaming Authority. Kalshi, which holds a CFTC license in the US, has still faced lawsuits in multiple states. Getting regulatory clarity in a market as complex as Nigeria's will require sustained effort and legal expertise. The platform that navigates this well gains a durable moat. The platform that tries to sidestep it faces the same offshore limbo that Polymarket operated in for years.

Currency risk is a second layer. The naira's devaluation creates a genuine problem for any platform settling contracts in local currency. Users watching their winnings erode in real time due to exchange rate movement will churn fast. This is where stablecoin integration becomes not just a feature but a product necessity. Platforms that let users hold and withdraw in USDT, with naira on-ramps via mobile money, solve both the accessibility problem and the currency risk problem in a single design decision.

Trust and outcome resolution are the third layer, and arguably the one that matters most for long-term viability. Polymarket has faced criticism over how specific markets were settled. In a Nigerian context, where trust in institutions is already fragile and where the memory of financial scams and collapsed platforms is fresh, outcome resolution has to be transparent and verifiable. A platform that gets this wrong once will struggle to recover.

Finally, there is the problem of education and positioning. Prediction markets and sports betting feel similar but are mechanically quite different. Accumulator bets, which is how most Nigerian sports bettors prefer to play, are very different from contract trading with continuous price discovery. Converting an existing sports bettor into a prediction market trader requires product design that makes the transition intuitive rather than demanding that users learn from scratch.

Who is building it

Bayse Market, formerly Gowagr, is the most prominent African-native prediction market platform currently operating. Built for the Nigerian context, the platform lets users trade on outcomes across sports, politics, music, entertainment, crypto, and stocks. Funding works through naira or stablecoins, with USDT withdrawal supported via the Solana network following a partnership with Superteam Nigeria announced in early 2026.

The Solana integration is a signal worth reading carefully. It means Bayse is not building a closed, fiat-only system. It is connecting to global crypto liquidity while maintaining a local-currency on-ramp. That architecture is what a Nigeria-first prediction market needs to look like. Naira gets you in. Stablecoin protects your value. Global settlement rails keep the system credible.

What Bayse also has, which no international platform will easily replicate, is proximity to the Nigerian context. Knowing which politicians are likely to underperform their polling, which Afrobeats artists are on the rise, which local economic indicators actually matter versus which ones are noise: that knowledge is not accessible to a team sitting in San Francisco or London. It lives in Lagos. It circulates on Nigerian Twitter and in barbershops and in trading group chats. A platform rooted in that context, with a team that reads those signals accurately, has a genuine information advantage in designing markets that reflect local reality.

Why this matters beyond the money

Prediction markets are not just a more sophisticated form of gambling. They are, at their best, a truth-finding mechanism. Kalshi's CEO Tarek Mansour put it plainly: his platform is replacing debate and subjectivity with markets, accuracy, and truth. Whether or not you believe that framing completely, the underlying logic holds in places where information is expensive and unreliable.

In Nigeria, in many parts of Africa, information is one of the most expensive things there is. Political polling is notoriously unreliable. Economic data from official sources is frequently contested or delayed. Informal knowledge is abundant but diffuse and impossible to aggregate. Prediction markets, if they work properly, turn that diffuse informal knowledge into prices. Those prices become signals. Those signals become infrastructure for better decisions, at every level from individual trader to venture investor to government planner.

The 168.7 million active bettors in Nigeria already know how to use the interface. They already know how to read odds, move money through a mobile app, and form views on future events. The missing piece has been a product that channels that behavior toward more open, fairer, more information-rich markets.

The West built the infrastructure. The numbers from Polymarket and Kalshi proved the model. Now someone needs to build the version that fits this continent. That work has started. How far it goes depends on execution, regulatory patience, and whether the builders understand the context they are operating in well enough to earn the trust of a market that has been burned before.

The appetite is there. It has been there for years, expressed in a different product. The question now is product-market fit at a deeper level than just mechanics: does the platform understand what Nigerian users actually want to trade on, how they want to hold their value, what would make them trust it enough to leave the Bet9ja app behind?

That is the real frontier. And someone is going to get there.