In Just 70 Days, Polymarket Easily Rakes in Tens of Millions in Fees

Odaily星球日报Pubblicato 2026-03-16Pubblicato ultima volta 2026-03-16

Introduzione

Polymarket, a prediction market platform, has generated over $11.2 million in fees in just 70 days since introducing transaction fees on January 6. Initially applied only to "15-minute crypto up/down" markets, the fee structure charges more when odds are near 50% (up to 1.56%) and less when they approach 0% or 100%. By March 6, fees were expanded to all crypto-related markets, which now drive most of the revenue. Weekly fee income has shown consistent growth, reaching $1.84 million in a recent week. If current trading volume and structure continue, Polymarket’s annualized revenue is estimated at $58.4 million under a conservative model. A more aggressive projection—assuming fees are applied to all markets—could yield up to $360 million per year. The platform has also distributed $13.41 million in liquidity provider incentives, which March revenue is on track to cover entirely. Polymarket’s revenue potential hinges on two factors: continued growth in trading volume and further expansion of fee-based markets. The platform has effectively proven the profitability of the prediction market model, positioning it as a highly efficient revenue generator in the crypto ecosystem.

Original | Odaily Planet Daily (@OdailyChina)

Author | Azuma (@azuma_eth)

On January 6th of this year, Polymarket officially ended its "zero-fee" model, beginning a trial implementation of transaction fees starting with the "15-minute cryptocurrency up/down" markets. The specific fee rate varies with the market's real-time odds — the closer the odds are to 0% or 100%, the lower the fee; conversely, the closer the odds are to 50%, the higher the fee, up to a maximum of 1.56%.

Later, on January 28th, about three weeks after the fees were introduced, we published an article titled "Data Estimates Show Polymarket Could Easily Exceed $100 Million in Annual Revenue, Assuming...". The article provided a static estimate based on Polymarket's trading volume and activity structure at the time: in the most conservative scenario, if the scope of fee-charging markets remained unchanged, Polymarket was projected to generate approximately $38 million in annual income; in the most aggressive scenario, if Polymarket extended fees to all markets, it was projected to earn $418 million in annual fee revenue.

When we last estimated Polymarket's revenue, we were hampered by an overly short observation period and too few calculable samples. Now, nearly two months later, we have used richer data to re-estimate Polymarket's revenue expectations. The results show that the so-called "conservative" estimate was indeed too conservative, and the "aggressive" expectation isn't too exaggerated.

Changes in Revenue Data

According to data compiled by Gate Research on Dune, since transaction fees were introduced on January 6th, Polymarket has accumulated over $11.2 million in fee revenue.

Using the most conservative method for another static estimate, assuming the trading volume and activity structure of the relevant markets remain unchanged, Polymarket is projected to generate approximately $58.4 million in annual revenue.

However, this estimation method does not accurately reflect Polymarket's revenue-generating capability.

The reason is that Polymarket's revenue data is clearly in a growth trend — over the past 10 weeks, the platform's weekly fee revenue has been $560,000, $786,000, $633,000, $749,000, $1.08 million, $1.28 million, $1.35 million, $1.29 million, $1.63 million, $1.84 million... showing almost weekly significant growth.

Reasons for Revenue Growth

There are two reasons for the growth in Polymarket's fee revenue. First, Polymarket has expanded the scope of fee-charging markets; second, Polymarket's overall trading volume and the trading volume in fee-charging markets have been growing continuously.

Regarding the scope of fee-charging markets, Polymarket extended the fee mechanism to all cryptocurrency-related markets on March 6th. Additionally, even earlier, it had begun trialing fee collection in sports markets like NCAA and Serie A. However, the former (cryptocurrency-related markets) currently remains the primary source of fee revenue.

Regarding trading volume, the data dashboard compiled by Data Dashboards on Dune shows that Polymarket's weekly overall trading volume and cryptocurrency market volume (the bottom purple bars) have been growing steadily.

Future Revenue Projections

When we last projected Polymarket's revenue, we had to manually extract the trading volume proportion of "15-minute cryptocurrency up/down" related markets within all cryptocurrency-related markets. But now, since Polymarket extended fees to all cryptocurrency-related markets on March 6th, this estimation is much more straightforward. As for NCAA and Serie A, perhaps because the former hasn't entered the "March Madness" official tournament yet, and the latter has relatively low cultural attention in the US, the trading volume scale of these markets is significantly smaller compared to cryptocurrencies, so they are temporarily ignored here.

Taking data from the only full week after March 6th (March 9th-15th), the trading volume of cryptocurrency-related events accounted for 26.7% of the platform's total trading volume that week. In the same week, Polymarket's fee revenue was approximately $1.84 million. Based on this ratio for a static projection, under the current trading volume level and structure, if Polymarket introduces a similar fee model across all markets, it is projected to bring in $360 million in annual revenue for the platform.

The Money Printer is Already Running

It is worth mentioning that, as a key measure for Polymarket to expand liquidity, the platform has so far distributed a total of $13.41 million in subsidies to liquidity providers (LPs). In contrast, if the data for the remainder of March can continue the performance of the first half, the fee revenue generated by Polymarket within this month alone could cover the total expenditure on liquidity subsidies.

Polymarket has largely proven the revenue-generating capability of this new form of prediction markets. Future revenue growth will mainly depend on two variables — how much more trading volume can grow, and whether fees can be further extended to more markets.

If these two variables continue to trend upwards, prediction markets might become the simplest and most direct "money printer" in the cryptocurrency industry.

Domande pertinenti

QWhen did Polymarket start charging transaction fees, and what was the initial market targeted?

APolymarket started charging transaction fees on January 6, beginning with the '15-minute cryptocurrency up/down' markets.

QHow much fee revenue has Polymarket accumulated since it began charging fees?

APolymarket has accumulated over $11.2 million in fee revenue since it started charging transaction fees.

QWhat are the two main reasons for the growth in Polymarket's fee revenue?

AThe two main reasons are the expansion of fee-charging markets to include all crypto-related markets and the continuous growth in overall trading volume, particularly in cryptocurrency markets.

QWhat is the estimated annual revenue for Polymarket if fees are extended to all markets, according to the latest data?

AIf fees are extended to all markets, the estimated annual revenue for Polymarket is approximately $360 million, based on current trading volume and structure.

QHow does Polymarket's fee revenue compare to the subsidies it has provided to liquidity providers (LPs)?

APolymarket has provided a total of $13.41 million in subsidies to LPs. If the revenue trend from the first half of March continues, the fee income for the month alone could cover the total subsidies paid to LPs so far.

Letture associate

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit30 min fa

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit30 min fa

OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

marsbit30 min fa

OpenAI No Longer Sells Its Most Expensive Model for Profit

marsbit30 min fa

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

The market's expectation for a September Fed rate hike surged dramatically in early August, jumping from under 50% to over 80% within a week. This shift followed a contentious July FOMC meeting, where a 9-3 vote to hold rates revealed growing dissent from hawkish members advocating for an immediate hike to combat persistent inflation. The primary catalyst for this repricing is rising oil prices, driven by renewed geopolitical tensions around the Strait of Hormuz, which threaten global supply. Energy costs directly influence inflation metrics, making the upcoming July CPI report (due August 12th) a critical data point. If it shows inflation reaccelerating, the probability of a September hike will solidify. For Bitcoin and crypto assets, this is typically bearish news. Bitcoin continues to behave as a high-beta, liquidity-sensitive risk asset. A rate hike raises the opportunity cost of holding non-yielding assets and could drive capital toward money markets, pressuring crypto prices in the short term. However, historical patterns suggest that if a hike is perceived as the end of a tightening cycle rather than the start, any negative price impact may be brief. U.S. stocks, particularly crypto-linked equities like Coinbase and growth-oriented tech stocks, are also vulnerable. Higher rates increase discount rates in valuation models, putting pressure on high-multiple companies. This coincides with a pivotal tech earnings season where investor focus has shifted from massive AI capital expenditure to tangible revenue and cash flow generation. Companies with negative cash flow and weak growth narratives could face heightened volatility if borrowing costs rise in September. In summary, a September Fed hike has evolved into a mainstream market scenario. Key factors to watch are oil prices, the July CPI report, and Fed communications, which will determine the final decision and its impact on volatile crypto and equity markets.

marsbit40 min fa

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

marsbit40 min fa

Trading

Spot
活动图片