Cost to Build an App Like Polymarket: Prediction Market Build Guide
Short answer
Building an app like Polymarket costs $200,000-$450,000 for an on-chain prediction-market MVP with an order book, wallet, and oracle resolution, taking 20-30 weeks. A licensed derivatives-exchange path costs far more because the regulatory approval, not the code, dominates. RaftLabs builds the exchange, wallet, and settlement layers these event-contract platforms need.
Key Takeaways
- A prediction market is an exchange, not a sportsbook. Users trade binary event contracts against each other, and the platform matches orders and takes a fee rather than pricing odds and carrying risk. That changes the architecture and the regulation entirely.
- The regulatory question comes first and dominates the cost. Prediction markets sit in a derivatives lane (CFTC in the US), not gaming. You either build on-chain and non-custodial to sidestep parts of that, or you pursue a licensed exchange, and the two paths have wildly different budgets.
- An on-chain MVP (order book, USDC wallet, oracle resolution) costs $200K-$450K in 20-30 weeks. A regulated-exchange path is dominated by licensing, legal, and compliance work that can dwarf the software.
- Liquidity is the product. A prediction market with no traders is worthless. Market-making, incentives, and resolving markets fairly matter more than any screen, and thin liquidity is the most common way these platforms die.
- Outcome resolution is the hardest trust problem. Deciding who won, handling disputes, and resisting manipulation of the resolution source (the oracle) is where prediction markets succeed or fail.
Polymarket looks like a betting app. It is not one. There is no bookmaker setting odds, no house taking the other side of your position. It is an exchange where users trade shares in the outcome of an event against each other, and the price of a share is the market's live estimate of the probability. That single structural difference changes everything about how you build it and how it is regulated.
If you are scoping "an app like Polymarket," the first decision is not a feature. It is which regulatory universe you are entering, because prediction markets live in a derivatives lane, not a gaming one, and the two architectures that follow from that choice have completely different budgets.
This guide covers what a prediction market actually costs, the two paths you can take, and why liquidity and outcome resolution matter more than any screen.
How much does it cost to build an app like Polymarket?
Cost depends almost entirely on the regulatory path you choose:
| Path | What it is | Timeline | Cost |
|---|---|---|---|
| On-chain MVP (non-custodial) | Order-book matching, crypto wallet, oracle resolution, market creation | 20-30 weeks | $200K-$450K |
| Centralized platform (pre-license) | Order book, fiat or stablecoin wallet, custody, admin resolution | 24-34 weeks | $300K-$550K |
| Licensed derivatives exchange | The above plus CFTC-registered exchange approval, surveillance, compliance | 12-24 months+ | Software plus a far larger legal and licensing spend |
The software ranges above are real, but for the licensed path the code is the smaller line item. The regulatory approval, legal counsel, market surveillance, and compliance infrastructure dominate the budget.
The scale these platforms can reach explains the interest. Polymarket's trading volume went from about $73 million in 2023 to roughly $9 billion in 2024, driven by the US presidential election, which alone saw over $2.6 billion in a single market, according to reporting. By late 2025 the company reached a $9 billion valuation after a stake from the parent of the New York Stock Exchange. That is the ceiling of the category, not your starting point.
The regulatory fork that decides your build
Everything begins with one question: are you a gambling operator or a financial exchange? Prediction markets argue they are the latter, and regulators have not fully settled it.
Polymarket's own history shows the stakes. It was pushed offshore by a 2022 CFTC action, paid a $1.4 million penalty, and barred US users, per the CFTC settlement. It only returned to American traders in December 2025, after acquiring a CFTC-licensed derivatives exchange for $112 million and operating through it. The lesson: the path back to the US market ran through a license, not a workaround.
The gaming industry is fighting the classification. AGA CEO Bill Miller told US senators that prediction markets are "backdoor betting operations" threatening regulated gaming. Whichever way that debate resolves, it tells a builder one thing clearly: your regulatory strategy is the product decision, not a compliance afterthought.
You have two broad architectures, and the fork determines your team, your budget, and your risk.
On-chain and non-custodial. Polymarket's original model. Trades settle in stablecoins on a blockchain, the platform does not custody user funds directly, and outcomes are resolved by a decentralized oracle. This sidesteps some custody and money-transmission questions but demands blockchain and smart-contract engineering, and carries its own unresolved legal exposure.
Centralized and licensed. The Kalshi model, and now Polymarket US. A conventional exchange that holds funds, verifies identity, and operates under a financial license. Far simpler for mainstream users and clearer legally, but the licensing and compliance cost is large and the timeline is long.
How does a prediction market make money?
The model is an exchange fee, not a betting margin. Polymarket matches buyers and sellers of outcome shares and earns through trading fees, charging taker fees on some markets while keeping others free, and does not charge to move stablecoins in or out. Because it matches traders rather than taking positions, it carries no directional risk on any outcome.
That is a fundamentally healthier model than a sportsbook in one respect: you do not lose when users win. But it has a brutal precondition. An exchange with no liquidity is worthless, and fees only accrue where there is volume. Which brings us to the real challenge.
Liquidity and resolution: the two problems that actually matter
Screens are the easy part. Two things decide whether a prediction market lives.
Liquidity. A market with few traders has wide spreads, bad prices, and no reason for anyone to participate. Bootstrapping liquidity, through market-making, maker incentives, and seeding, is existential and ongoing. Most prediction markets that fail do so here, not on features. Budget for a liquidity strategy, not just a matching engine.
Resolution. Every market must eventually be settled: who actually won, what the outcome was, and how disputes are handled. This is the core trust mechanism. If users do not believe outcomes are resolved fairly and are resistant to manipulation, the market collapses. Polymarket uses a decentralized oracle for this; a centralized platform needs an equally credible, dispute-tolerant resolution process. Resolution is where the hardest engineering and the hardest governance meet.
Who builds a prediction market instead of using Polymarket?
Four kinds of teams have a real reason to build one.
Crypto-native exchanges and teams. A group with blockchain expertise and a community can launch a vertical or general prediction market where the on-chain model plays to their strengths.
Financial exchanges and brokers. An established, licensed venue can add event contracts as a product line, using its existing regulatory standing and surveillance infrastructure, the fastest legitimate path in the US.
Media and data brands. A company with an audience around politics, economics, or sports can turn engagement into a market, provided it solves liquidity and resolution. The audience is the acquisition advantage; the exchange is what they lack.
Vertical prediction markets. Niche event markets, weather, sports outcomes, economic indicators, entertainment, where a focused platform can serve a community the general markets treat thinly.
V1, V2, V3: phasing a prediction-market build
Sequence the regulatory decision, then the exchange, then scale.
V1: the exchange core ($200K-$450K, 20-30 weeks)
Order-book matching engine for binary outcome contracts
Wallet: a crypto and stablecoin wallet on-chain, or a custodial fiat wallet centralized
Market creation and a resolution mechanism (oracle on-chain, or an administered process centralized)
KYC where the model requires it, and basic market surveillance
The architecture choice here, on-chain versus centralized, is made before V1 and cannot be changed cheaply later.
V2: liquidity, trust, and usability (+$100K-$250K, 10-16 weeks)
Market-making and maker-incentive tooling to build liquidity
A dependable dispute and resolution flow, the trust layer
Improved order types, charts, and mobile experience
Surveillance and manipulation detection
V3: scale and regulatory maturity (+ ongoing)
Full licensing and compliance for the jurisdictions you target
Deeper surveillance and reporting to satisfy a financial regulator
API access for institutional traders and market makers
New asset and event categories
Build vs buy: is there a shortcut?
Unlike sportsbooks, there is no mature turnkey prediction-market platform to rent, which is part of why the category is still young. The realistic buy option is a regulatory shortcut, not a software one: partnering with or acquiring an already-licensed exchange, as Polymarket did with its CFTC-registered acquisition, rather than pursuing a license from scratch. For the sports-betting comparison, our sports betting app development cost guide and DraftKings build guide cover the sportsbook model, which several betting operators are now extending into prediction markets themselves.
Where prediction-market builds go wrong
The failure mode we see most is building the exchange and forgetting the market. A perfect matching engine with no liquidity is an empty room. Teams spend the budget on the order book and the UI, launch, and discover there are no traders, no volume, and therefore no fees. The liquidity strategy has to be designed alongside the software, not discovered after launch.
The second is treating resolution as an afterthought. The first disputed outcome, handled badly, destroys the trust the whole market runs on. Design the resolution and dispute process with the same rigor as the matching engine, because it is the part users are really trusting.
How RaftLabs fits
We build the exchange, wallet, and settlement layers that event-contract platforms need: order-book matching, custodial or non-custodial wallets, resolution workflows, and the KYC and surveillance a compliant platform requires. The identity and compliance work overlaps with our iGaming compliance and KYC software practice, and the broader real-money product landscape with our sports betting software development work.
We are direct about the boundary. We do not provide legal or regulatory approval, and for a prediction market the regulatory path is a decision you make with specialist counsel before the build begins. What we build is the exchange and the product around your chosen regulatory model, engineered for the liquidity and resolution problems that decide whether it survives.
The right first step is a scoping call: which architecture and regulatory path you are pursuing, how you plan to bootstrap liquidity, and how outcomes will be resolved. Get those three clear and the build is straightforward.
Talk to us about your prediction-market product. We will tell you what to build first, what it will cost, and how to design for the problems that actually decide these platforms.
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Frequently asked questions
- An on-chain prediction-market MVP with an order-book matching engine, crypto wallet, and oracle-based resolution costs $200,000-$450,000 and takes 20-30 weeks. Pursuing a licensed derivatives exchange costs substantially more, because the regulatory approval, legal work, and compliance infrastructure dominate the budget far beyond the software. The right figure depends entirely on which regulatory path you choose.
- Legally, prediction markets are generally treated as event-contract or derivatives trading rather than gambling, which places them under financial regulators such as the CFTC in the US rather than gaming regulators. That distinction is contested. Polymarket operated offshore for years after a 2022 CFTC action and only returned to US users in late 2025 after acquiring a CFTC-licensed exchange. The regulatory path is the single most important decision in the build.
- Polymarket operates an exchange where users trade shares in binary outcomes against each other, with prices representing implied probability. The platform earns through trading fees, charging taker fees on some markets while keeping others fee-free, and does not charge to deposit or withdraw stablecoins on its global exchange. Because it matches traders rather than taking the other side of bets, it carries no directional risk on outcomes.
- Two things: liquidity and resolution. A prediction market with few traders has wide spreads and no appeal, so bootstrapping liquidity through market-making and incentives is existential. And resolving each market, deciding the real-world outcome, handling disputes, and resisting manipulation of the resolution source, is the core trust mechanism. Polymarket uses a decentralized oracle for this; a centralized platform needs an equally credible resolution process.
- On-chain and non-custodial, like Polymarket's original model, avoids holding customer funds directly and uses crypto settlement and a decentralized oracle, but it demands blockchain and smart-contract expertise and carries its own regulatory ambiguity. A centralized, licensed exchange (the Kalshi model, and now Polymarket US) is simpler to use and clearer legally, but the licensing and compliance cost is large. The choice defines your budget, your team, and your regulatory exposure.
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