Kalshi's Biggest Rival is Not Polymarket

链捕手Published on 2026-06-22Last updated on 2026-06-22

Abstract

Kalshi's CEO Tarek Mansour has identified the company's primary competitors not as the crypto-based prediction market Polymarket, but as established financial and gaming giants: CME Group, Robinhood, and DraftKings. This reflects a shift in the prediction market landscape, where the 2026 FIFA World Cup is expected to bring massive new trading volume. Traditional platforms are increasingly integrating prediction markets as a feature within their existing ecosystems. Robinhood has seen rapid growth with its prediction markets, contributing significantly to its "other transaction revenue." Similarly, Interactive Brokers (IBKR) integrates contracts from Kalshi and CME Group, while DraftKings and FanDuel (via CME) have launched their own prediction products. This allows these firms to leverage their vast user bases and infrastructure at low marginal cost, turning prediction markets from standalone apps into embedded functionalities. In response, prediction market platforms are evolving along two paths. First, they are expanding into new event categories like sports (e.g., the World Cup) and financial data to reduce reliance on election cycles. Second, they are moving towards becoming infrastructure and liquidity providers for distribution platforms. Kalshi's lead over Polymarket in trading volume is partly attributed to this channel strategy, integrating with brokers like Robinhood, Coinbase, and Webull. However, this strategy faces a challenge as distributors like Robinhood be...

Author: flowie, ChainCatcher

The 2026 FIFA World Cup may be becoming the largest traffic event in the history of prediction markets. Bernstein calls it an important "watershed" for the industry, estimating the event will bring $5 billion to $10 billion in new trading volume.

However, more notable than the growth in trading volume is the apparent shift in the competitive logic of prediction markets.

Over the past few years, market discussion has primarily focused on whether Polymarket or Kalshi would be the ultimate winner of the prediction market era.

However, Kalshi CEO Tarek Mansour recently gave a thought-provoking answer in an interview with Front Office Sports.

In his view, Polymarket is not Kalshi's primary competitor. The ones to be truly wary of are CME Group, Robinhood, and DraftKings.

Meanwhile, Bernstein also believes that platforms with user gateways and distribution channels like Robinhood and DraftKings will become major beneficiaries of this World Cup.

This indicates that with traditional brokerages and exchanges collectively entering the fray, the competitive logic of prediction markets is being redefined.

The Threat from Traditional Trading Giants

If prediction markets were an independent sector in past years, a noticeable change over the past year is that more traditional financial platforms are starting to incorporate prediction markets as part of their existing business.

Among them, the most aggressive has been internet brokerage Robinhood. Robinhood not only launched its Prediction Markets Hub, but also, on the basis of cooperating with Kalshi, further integrated its own CFTC-regulated exchange, Rothera, formally incorporating event contracts into its platform ecosystem. Users can directly trade contracts on the World Cup, Fed interest rates, economic data, and even political events within their existing accounts without needing to download a new app.

For Robinhood, prediction markets have become one of its fastest-growing business lines. In 2025, the platform accumulated over 12 billion event contracts traded. By May 2026, this number reached approximately 16 billion. In Q1 this year, the company recorded 8.8 billion event contracts traded, driving "other trading revenue" up 320% year-over-year to $147 million.

The World Cup further serves as a significant catalyst for this business. In early June, Robinhood officially launched its World Cup prediction market service, using its proprietary prediction market product, Rothera. Following the announcement, its stock price rose over 5% in a single day.

Bernstein expects Robinhood's prediction market revenue to reach approximately $586 million in 2026, a year-on-year increase of about 286%, already accounting for double digits as a percentage of trading revenue, and is expected to become one of the largest drivers of the company's new revenue growth.

Beyond Robinhood, traditional exchanges and sports betting platforms have also accelerated their entry into prediction markets over the past year.

In May of this year, Interactive Brokers (IBKR) integrated event contracts from Kalshi, CME Group, and ForecastEx into its unified account system. Users can directly participate in prediction markets for economic data, political events, and some sports events while trading stocks, options, and futures, achieving unified access and price comparison across different platforms.

As one of the world's largest derivatives exchanges, CME Group has also entered this market via event contracts. In 2025, CME partnered with sports betting giant FanDuel and launched the prediction market platform FanDuel Predicts by the end of the same year, hoping to leverage the latter's massive user base to bring event contracts to a broader retail market.

On another front, DraftKings officially launched its standalone product DraftKings Predictions in late 2025, entering the CFTC-regulated prediction market, attempting to extend its existing sports betting users into event contract trading and gradually cover more categories including sports, finance, and entertainment.

Simultaneously, Webull has also integrated Kalshi's event contract services. More and more traditional brokerages, exchanges, and betting platforms are viewing prediction markets as part of their existing trading ecosystems, rather than an independent new sector.

This means prediction markets are evolving from a standalone product into a functional module within brokerage, exchange, and betting platforms. Users no longer need to download a dedicated prediction market app. They might open Robinhood to buy stocks and incidentally predict the World Cup champion; open FanDuel or DraftKings to place sports bets and incidentally trade an event contract; or speculate on the next Fed rate cut while managing their portfolio on Interactive Brokers.

For these platforms, prediction markets are not a core business, but they can leverage existing account systems, capital systems, and user bases to expand with extremely low marginal costs. This is changing the competitive boundaries of the prediction market.

How Can Prediction Markets Step Out of the Shadow of Giants?

As traditional trading giants begin to "incorporate" prediction markets into their own systems, the question that follows is: what space remains for the prediction market itself?

Currently, the industry's evolution is not heading towards a singular "breakthrough," but rather multiple paths.

The first path is the continuous expansion of tradable categories. Initially, the core assets of prediction markets primarily revolved around elections and political events. Subsequently, sports events, economic data, interest rate decisions, entertainment events, etc., gradually became new growth drivers. The reason this World Cup is called the industry's "watershed moment" by Bernstein is largely because sports events are expected to help prediction markets break free from dependency on election cycles and enter more mainstream consumer scenarios.

At the same time, prediction markets are also beginning to break trading boundaries, attempting to extend into broader trading markets. For example, both Polymarket and Kalshi began exploring products like perpetual contracts and derivatives this year, hoping to meet users' needs for more continuous trading and reduce the impact of single-event cycles.

However, compared to asset category expansion, another change may be even more noteworthy.

The second path is extending into infrastructure and distribution layers.

Over the past few years, the market primarily viewed Kalshi and Polymarket as direct competitors. But starting from the second half of 2025, their development paths began to diverge. According to Bernstein data cited by The Block, by May 2026, Kalshi's monthly trading volume reached $17.9 billion, capturing about 57% market share, while Polymarket's monthly trading volume fell to about $7.1 billion. Kalshi has already taken the lead in both volume and share.

Behind this reversal, beyond compliance advantages, the expansion of distribution channels is also a significant driving factor. Traditional trading platforms represented by Robinhood, Coinbase, Webull, and Interactive Brokers have successively integrated its event contract capabilities, gradually making it a cross-platform "event liquidity provider," bringing it massive traffic.

The problem is, a key aspect of this previously successful path is now loosening: distributors are starting to absorb infrastructure capabilities in reverse, no longer satisfied with revenue sharing, but building their own products. The aforementioned Robinhood is a case in point; it not only integrates Kalshi but also began building its own prediction market system through Rothera. This means that as more distribution platforms can directly reach end-users, the value boundary of being an "infrastructure provider" is becoming unstable.

Competition among prediction market platforms is gradually extending beyond simply competing for end-users to competing for channels, liquidity, and underlying capabilities.

This competitive dynamic is not unfamiliar from the internet era. For example, the competition between Zoom and Microsoft Teams, Google Meet around the video conferencing scenario.

Zoom once defined the video conferencing category with its excellent professional experience, but Microsoft and Google, with Teams and Meet deeply embedded in the Office 365 and Gmail ecosystems, compressed video calls from "a standalone app to download" into "a tab within a collaboration suite."

The outcome of this competition was not Teams replacing Zoom, but entry-point platforms continuously expanding their coverage based on distribution advantages, and to some extent, redrawing the product's growth boundaries. Zoom still exists, but it was forced to migrate towards higher-level capabilities like enterprise collaboration, AI, and workflow functionalities to counter the growth squeeze from being embedded within other platforms.

Prediction markets are currently at a similar historical intersection. Whether Kalshi and Polymarket can step out of the shadow of the giants remains to be seen over time.

Trending Cryptos

Related Questions

QWho does Kalshi's CEO see as the company's main competitors, according to the article?

AAccording to Kalshi CEO Tarek Mansour, the company's main competitors are not other dedicated prediction market platforms like Polymarket, but rather traditional financial and trading giants. He specifically mentioned CME Group, Robinhood, and DraftKings as the real threats.

QWhat major event is highlighted as a potential 'watershed moment' for the prediction market industry, and why?

AThe 2026 FIFA World Cup is highlighted as a potential 'watershed moment' for the prediction market industry. Bernstein research refers to it as such because the event is expected to drive a massive influx of new trading volume, estimated at $5 billion to $10 billion. More importantly, it represents a shift of the market into mainstream, mass-consumption scenarios beyond reliance on election cycles.

QHow is Robinhood integrating prediction markets, and what has been the business impact?

ARobinhood has deeply integrated prediction markets by launching its Prediction Markets Hub and integrating its own CFTC-regulated exchange, Rothera. Users can trade event contracts directly within their existing Robinhood accounts. This has become one of Robinhood's fastest-growing business lines, with significant revenue growth and a projected $586 million in prediction market revenue for 2026, according to Bernstein.

QWhat two main strategic paths are prediction market platforms like Kalshi and Polymarket exploring to compete, as described in the article?

APrediction market platforms are exploring two main strategic paths. First, expanding the range of tradable asset categories beyond politics to include sports, economic data, entertainment, and even exploring derivatives like perpetual contracts. Second, evolving from consumer-facing apps towards becoming infrastructure and liquidity providers, distributing their event contracts through third-party platforms like traditional brokerages and exchanges.

QWhat historical tech industry parallel does the article draw to the current situation in prediction markets?

AThe article draws a parallel to the competition in the video conferencing space, specifically between Zoom and Microsoft Teams/Google Meet. Just as Teams and Meet leveraged their existing ecosystems (Office 365, Gmail) to embed video calls as a feature, traditional financial platforms (Robinhood, IBKR) are now embedding prediction markets into their existing trading ecosystems. This forces dedicated platforms like Kalshi to evolve and add higher-level capabilities to maintain their growth and differentiation.

Related Reads

Citi's Interpretation: Why Does Citi Still Give SanDisk a Target Price of $2500 After Earnings Report Despite a Significant Stock Price Drop?

Citi maintains a "Buy" rating on SanDisk with a $2500 price target despite a post-earnings stock drop. This target, implying an 85.1% upside from the August 5th close of $1350.50, hinges on the firm's view that SanDisk merits a higher valuation than traditional NAND cyclical stocks. Although SanDisk reported strong Q4 FY26 results with revenue up 51% sequentially and robust full-year data center growth (+437%), its stock fell sharply on August 6th. Investors are concerned about potential NAND price growth moderation and guidance that failed to meet elevated market expectations. Citi's bullish thesis centers on SanDisk's new long-term "New Business Model" (NBM) agreements. These contracts, covering a significant portion of its NAND bit output for FY27 and FY28, represent minimum revenue commitments of approximately $94 billion backed by financial guarantees. This structure aims to increase revenue and cash flow predictability. The report links this visibility to AI data center demand, driven by the expansion of inference workloads requiring more storage. Citi estimates data center storage capacity demand will grow about 35% in CY27. However, the analysis notes long-term contracts cannot eliminate the NAND cycle. Risks include potential oversupply from industry capacity expansion, competition, and macroeconomic headwinds. The $2500 target essentially bets that AI demand and these contracts can reduce earnings volatility enough to support a premium valuation (~11x CY27E EPS). Key factors to watch are the execution of the $94B commitments, pricing mechanisms, actual data center demand, and industry supply dynamics.

marsbit7m ago

Citi's Interpretation: Why Does Citi Still Give SanDisk a Target Price of $2500 After Earnings Report Despite a Significant Stock Price Drop?

marsbit7m ago

Dark Pools Prevail, Whales Vanish: How Credible Are Public Market Signals?

Institutional cryptocurrency trading is increasingly shifting towards dark pools and over-the-counter (OTC) desks, with data from sFOX showing such venues accounted for 15% of total monthly volume by June, up from negligible levels in April. In July, 77.7% of institutional capital on sFOX's platform was routed through OTC desks, while only 18.4% went to public exchanges. A key driver is institutions' need to conceal large orders to avoid revealing trading patterns, preventing front-running and minimizing price impact. Firms like Jane Street and Citadel use dark pools and order-splitting across multiple venues to execute trades discreetly. This structural shift mirrors earlier developments in equities and forex markets. As a result, public order books now reflect only a fraction of actual market activity, eroding the once-significant advantage retail traders had in tracking large wallets and exchange flows. The proliferation of prime brokers and aggregation platforms is also rapidly closing simple arbitrage opportunities. The market may evolve toward a brokerage model for retail, similar to traditional stocks. Two scenarios emerge: an optimistic one where retail gains from narrower spreads and better order routing, and a pessimistic one where transparency declines faster than benefits trickle down, leaving smaller investors in the dark. Regardless, traders must adapt by not relying solely on exchange volume, comparing total execution costs, and using limit orders in thin markets. While reduced volatility from hidden large trades may seem positive, it comes at the cost of obscured market signals and institutional intent.

marsbit12m ago

Dark Pools Prevail, Whales Vanish: How Credible Are Public Market Signals?

marsbit12m ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片