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If you are a startup or established business looking to start a prediction marketplace, this blog gives you detailed knowledge on the prediction market business model.
The growth of digital finance has opened doors to many opportunities, and one such rapidly growing field is the prediction markets. They are not just built for predictive trading but also serve as a strong business tool, helping companies to generate potential revenue from it and stand out in this competitive era.
Businesses taking advantage of this opportunity by building an intuitive and scalable prediction market platform will earn stronger returns and generate revenue that lasts longer.
This blog helps you understand
- How prediction markets make money
- Revenue models of popular prediction market platforms
- Centralized vs Decentralized prediction market revenue models
- How you can build a profitable prediction market
How Do Prediction Markets Make Money?
To understand the prediction market business model, it’s important to have knowledge of how these platforms generate revenue.
The prediction market business model includes multiple revenue streams like trading fees, liquidity provider incentives, spread or commission model, market creation fees, and subscription or premium features fees.
Businesses can generate a scalable and recurring income over time. Let’s dive deeper into each one of them.
Trading Fees
Trading fees are one of the core components of the prediction market business model. Trading fees in the prediction market platforms are charged when users carry out a trade, that is, the buying and selling of the contracts on the platform. Trading fees typically range between 1% and 3%, and sometimes it might be a flat fee per contract. These fees generate a steady income for the platform, and even low fees can generate a significant revenue as the liquidity grows.
Spread Fee Model
Spread fees usually remain as hidden or indirect fees charged by the prediction market platforms to generate revenue without explicitly charging transaction fees. Spread fees are the difference between the buy and sell prices of a contract.
Market Creation Fees
Market creation fees are charged by the prediction market platforms to create and list a new event-based prediction contract. This approach helps in maintaining the quality of the contracts by preventing spam and low-interest markets. The market creation fees vary depending on the type of prediction market platform.
Subscription Fees for Premium Features
Prediction market platforms offer premium features for enterprise-grade and institutional clients to provide advanced-level trading. Premium features include advanced analytical tools, enhanced trading dashboards, historical data insights, etc. To access these features, prediction market platforms charge certain fees on a subscription basis. These subscription fees act as an additional revenue model from enterprise or institutional-grade clients.
Withdrawal or Deposit Fees
Prediction market platforms charge a certain percentage fee while depositing or withdrawing funds from the prediction market platform. The percentage of fees differs from platform to platform. Most of the prediction market platforms do not charge for direct bank transfers, while charging for credit/debit card-based fund transfer.
Revenue Models of Popular Prediction Market Platforms
Looking into the real-world prediction market business models helps to have a better understanding of their revenue streams. Let’s look into the revenue models of popular prediction market platforms.
Polymarket
Polymarket remains one of the top prediction marketplaces adopted by many users. The core revenue model for the polymarket prediction market platform is the trade fees, charged on every trade executed on the platform
Though the trade fee remains the core revenue model for the polymarket, it also generates a significant amount of revenue from other streams. They include the following.
- Market Creation Fees - They are charged when a new market event is created on the polymarket platform
- Blockchain Gas Fee - It is usually charged on a minimal amount from the users to perform their transactions on the blockchain network.
Kalshi
Kalshi is a centralized prediction market platform. Same as Polymarket, the primary revenue stream of Kalshi is through trading fees that are charged when users carry out immediate trades.
Other than the trading fee, Kalshi charges fees for certain things, which include the following.
- Maker Fees - They are charged when the orders are not immediately executed, instead kept as a resting order in the order books.
- Deposit and Withdrawal Fees - They are charged when users use debit cards for deposit and withdrawal of funds. Usually they charge upto 2% for this action.
Augur
Similar to Polymarket and Kalshi prediction market revenue models, the Augur prediction market platform also generates its primary revenue from trading fees. As the trading volume increases on the platform, a significant amount of revenue can be generated.
Other revenue streams through which Augur generates potential revenue is listed below.
- Market Creation Fees - They are charged when new market events are created on the prediction market platform.
- Premium Features Subscription Fees - Subscription fees are charged when users access the premium platform features for an advanced trading experience.
- Advertising and Partnerships - They are charged from the companies that advertise their service on the Augur prediction market platform.
Centralized vs Decentralized Prediction Market Revenue Models
Based on the architecture of the prediction market platforms, they are classified into two major types, namely the centralized and decentralized prediction market platforms. Let’s look into the centralized and decentralized prediction market platforms’ revenue models in depth.
Centralized Prediction Market
A centralised prediction market is a platform where the operations of the platform are managed by a single entity or a central authority. This central authority manages user accounts, holds funds under its custody, and verifies the outcomes of the events.
Revenue Streams of Centralized Prediction Market Business Model
- Trading Fees
- Withdrawal Fees
- Custodial Funds Interest
- Fees Generated From Selling Analytical Data To Institutional Clients
Decentralized Prediction Market
A decentralized prediction market is a platform that operates entirely on smart contracts. The smart contracts automate the process of market creation, order matching, trade execution, and payout distribution.
Revenue Streams of Centralized Prediction Market Business Model
- Percentage fees on winning payouts
- Market creation fees
- Liquidity provider fees
- Token staking revenue sharing
How to Build a Profitable Prediction Market Platform?
Building a profitable prediction market matters.
Choose the right prediction market development company and use the latest tech stacks while building a prediction market platform. This approach helps you build a profitable and scalable prediction marketplace.
Go with niche-specific prediction market platforms, so that you can target a specific group of audience.
Choose the type of prediction market platform, whether a centralized or decentralized prediction marketplace. Both types offer a wide range of revenue streams for the admins.
The more liquid the platform, the more trades occur. So, concentrate on the liquidity of the platform through which you can generate more stable profit via trading fees for each trade carried out on the platform.
Offer premium features on a subscription basis for institutional-grade clients, which enables them to carry out advanced trading with premium features. On the other hand, you can generate potential revenue from the subscription fees.
Conclusion
Prediction market platforms are gaining popularity among many people. And businesses are in a surge to launch their prediction marketplace.
These platforms present a powerful and sustainable business opportunity in the evolving digital finance.
By leveraging prediction market business models through various revenue streams like trading fees, liquidity provider incentives, spread or commission model, market creation fees, and subscription or premium features fees, businesses can ensure long-term sustainability in this field and also generate potential revenue from it.
To build a profitable prediction market business model, partnering with an experienced and trustworthy prediction marketplace development company like Fourchain matters.
To develop your custom prediction market platform, Contact Fourchain today to get a free consultation with our experts.
