After Polymarket and Kalshi, Are There Any Dark Horses Left in the Prediction Market?

marsbitPublished on 2026-05-21Last updated on 2026-05-21

Abstract

The prediction market, once a niche crypto experiment, has evolved into a mainstream financial and information market, moving beyond a sole reliance on political events. The 2024 US election showcased platforms like Polymarket and Kalshi, but sustained post-election volume from sports, tech, and economics proved long-term demand. By 2026, a duopoly controls ~97.5% of volume: Polymarket leverages on-chain trading, USDC settlement, and media integrations, while Kalshi uses CFTC compliance to access mainstream finance via partners like Robinhood. New challengers are emerging in specific niches: short-cycle trading (@trylimitless), media-native markets (@MyriadMarkets), social platform integration (@kash_bot), and infrastructure layers (@azuroprotocol, @theclearingco). Key 2026 drivers include AI agents executing over 30% of on-chain trades, media platforms embedding odds as engaging content, and sports becoming the dominant sustained vertical. Core challenges remain: contested volume metrics, state-level regulatory friction classifying markets as gambling, and token airdrop speculation inflating activity. The future lies not with generic clones, but with platforms possessing deep vertical focus, clear distribution advantages, and viable regulatory or on-chain liquidity strategies.

Editor's Note: Prediction markets are evolving from a niche crypto application to a more mainstream financial and information market.

The 2024 US election brought Polymarket and Kalshi into the public eye, but what truly changed the industry narrative was that trading volume did not rapidly disappear after the election. Markets in sports, technology, and economics absorbed the traffic, proving that the long-term demand for prediction markets is not solely driven by political events.

This article outlines the core landscape of prediction markets in 2026: on one side, a duopoly formed by Polymarket and Kalshi, with the former expanding its influence through on-chain trading, USDC settlement, and media distribution, and the latter entering mainstream financial scenarios through CFTC compliance qualifications and channels like Robinhood. On the other side, a group of new platforms are seeking opportunities in short-cycle trading, sports prediction, media embedding, on-chain native metrics, and the infrastructure layer.

What's more noteworthy is that the competition in prediction markets is no longer just about trading volume; it's a comprehensive contest involving liquidity, distribution capabilities, and regulatory pathways. Meanwhile, issues like wash trading, disputes over trading volume statistics, expectations for token airdrops, and state-level regulatory pressure indicate that this sector is still in a highly uncertain stage.

Prediction markets are no longer just DeFi experiments. They are becoming a new asset class where financial trading, media content, and algorithmic strategies intersect. The platforms that truly have a chance to break through in the future may not be generalized replicas, but rather those with clear vertical scenarios and distribution advantages.

The following is the original text:

Two platforms that were barely known in 2022 settled a notional trading volume last year that exceeded New Zealand's GDP.

In 2025, the combined trading volume of Kalshi and Polymarket reached $44 billion. In May 2026, Kalshi raised $1 billion in funding at a valuation of $22 billion. The Intercontinental Exchange (ICE), parent company of the New York Stock Exchange, pledged a $2 billion investment in Polymarket at a $9 billion valuation. AI Agents are already executing over 30% of on-chain trades. Meanwhile, a group of new teams are building vertical-specific platforms on Base, Solana, Hyperliquid, and Arweave—they are all betting on one judgment: these two giants cannot monopolize all categories.

This is likely the most comprehensive overview of the prediction market builder ecosystem available today.

Numbers That Rewrote the Narrative

2024 was the validation moment for prediction markets. The single market of the US Presidential election alone brought $3.3 billion in trading volume to Polymarket. During the campaign, almost all major financial news desks began reporting prediction market odds. Bloomberg, Politico, and FiveThirtyEight cited this data in their analyses.

But what happened after November 5th surprised many: trading volume did not drop back to its previous baseline. Sports markets absorbed that traffic.

By the end of 2025, sports markets accounted for 85% of Kalshi's trading volume and 39% of Polymarket's. Tech & Science markets grew 1,637% year-over-year, and Economic markets grew 905%. Political markets—the vertical once assumed to be the core driver of prediction markets—grew by only 43%.

Prediction markets found their long-term engine, and it wasn't elections.

The Duopoly Landscape

Polymarket runs on Polygon, settles in USDC, and intentionally charges no fees on most markets to prioritize building trading volume. In October 2025, ICE invested $2 billion in a strategic investment at a post-money valuation of approximately $9 billion. In June 2025, X announced Polymarket as its official prediction market partner. In February 2026, Substack natively integrated Polymarket's live odds data; within weeks, one-fifth of the top 250 revenue-generating publications on Substack began using this data. The platform's CMO also confirmed that the POLY token and an airdrop are forthcoming. Upon full functionality launch, its projected annualized fee revenue is expected to exceed $200 million.

Kalshi, on the other hand, obtained a Designated Contract Market designation from the CFTC, becoming the first event contract platform with such credentials, and turned this into a distribution moat. It was this compliant status that enabled Kalshi to enter Robinhood. In 2025 alone, Robinhood facilitated over 4 billion event contract trades. In January 2025, Kalshi launched markets related to the Super Bowl. In less than 12 months, sports markets skyrocketed from roughly 10% to over 85% of its trading volume. In May 2026, Kalshi raised $1 billion at a $22 billion valuation, led by Coatue with participation from Sequoia, a16z, Paradigm, Morgan Stanley, and ARK. At the time of funding, Kalshi had approximately 2 million monthly active users, annualized trading volume of about $178 billion, and annualized revenue of about $1.5 billion.

In 2025, these two companies collectively controlled about 97.5% of the total trading volume in the prediction market industry.

Ecosystem Map

The Challengers

Beyond the duopoly, over a dozen teams are building new prediction market platforms. Each targets a specific gap.

@trylimitless is deployed on Base, focusing on short-cycle markets including 15-minute, hourly, and daily markets, targeting cryptocurrency and stock traders seeking fast settlement. The project raised $10 million from 1confirmation, Coinbase Ventures, F-Prime, DCG, and Arrington, among others. In Q1 2026, its monthly trading volume reached $1.1 billion. The fully diluted valuation of the $LMTS token once reached $800 million after launch.

@MyriadMarkets runs on the Abstract chain and integrates with Linea, Celo, and BNB. It bets on "media-native" prediction markets. Its first distribution partnership occurred in December 2025, embedding prediction features into Trust Wallet. It currently has over 430,000 users who have completed more than 1.7 million predictions. The project was founded by the team behind Decrypt and Rug Radio.

KASH embeds into X via @kash_bot, allowing users to create and trade prediction markets within quote posts. In February 2026, KASH raised $2 million from Big Brain Holdings, Spartan, Coinbase Ventures, Animoca, and the Sui Foundation, among others. Its core belief: whoever can enter the scenarios where users already spend their time via the shortest path will win prediction markets.

@DriftProtocol is built atop Drift Protocol's $500 million Solana liquidity pool. It supports over 30 collateral assets, allows cross-collateral positions, and offers FUEL rewards.

@HedgehogMarket targets on-chain native metrics, such as Base fees, funding rates, validator performance, while also offering general binary options on Solana and Eclipse. The platform supports permissionless market creation, with peak TVL once reaching around $20 million.

@HyperliquidX's HIP-4 went live on May 2, 2026, co-designed by John Wang, Head of Crypto at Kalshi. This mechanism uses USDH exclusively as collateral, employs a CLOB order book model, and charges no opening fees. The first market, deployed officially by Hyperliquid, revolves around BTC outcomes, achieving $6 million in trading volume on its first day. Currently, @Outcomexyz is the primary frontend for HIP-4, contributing 10x the trading volume of any other interface.

@azuroprotocol is more like infrastructure than a frontend product for general users. It provides a sports prediction market layer for other teams, using a Liquidity Tree pool design. The project has raised $11 million from Delphi Digital, Gnosis, and Arrington Capital, among others.

@Overtime_io runs on Optimism, Arbitrum, and Base. All protocol revenue flows to $OVER token buybacks.

@RobinhoodApp is powered by Kalshi's backend, facilitating over 2 billion event contract trades in Q3 2025 alone.

The infrastructure layer is also heating up. In August 2025, @theclearingco raised a $15 million seed round from investors including Union Square Ventures, Haun Ventures, Coinbase Ventures, and Variant. The company was founded by former executives from Polymarket and Kalshi. Capital flowing to the clearinghouse layer usually signals that an asset class is maturing.

Core Drivers in 2026

Regulated platforms are exploring on-chain tracks. Kalshi tokenizing markets and deploying to Solana, Polymarket advancing US CFTC compliance through the acquisition of QCEX, and Hyperliquid's HIP-4 being co-designed by Kalshi—all these moves point in the same direction: a global liquidity layer at the base, overlaid with regulatory shells for different regions.

AI Agents have become a non-negligible part of prediction market activity. According to analytics platform LayerHub, over 30% of wallets on Polymarket are running AI Agents. Olas's Polystrat Agent executed over 4,200 trades in its first month, with single-position returns as high as 376%. Elastics also raised $2 million, aiming to build a natural language trading interface.

Whether platform teams initially designed for it or not, prediction markets are becoming algorithmic trading venues.

Media platforms are treating prediction odds as high-engagement content. X's official partnership deal, Substack's native integration, and Google Finance displaying live odds essentially serve the same purpose: turning financial questions into media events that can be discussed collectively, thereby driving organic user acquisition.

Sports is the most sustainable vertical. The 2024 US election brought the first wave of users; sports kept them. Any new platform raising funds in 2026 without a sports strategy is either building deep infrastructure or making a highly concentrated bet on a specific niche.

The Real Challenges

Three risks are worth pointing out directly.

First, trading volume metrics themselves are controversial. An analysis published by Paradigm in December 2025 noted that Polymarket's NegRisk architecture causes most third-party data tracking tools to double-count. CertiK estimated that wash trading accounted for peaks near 60% of some Polymarket trading volume in 2024. Therefore, the $44 billion figure is better used as a directional reference rather than strictly audited, accurate data.

Second, state-level legal friction is real. As of January 2026, there were over 19 related federal lawsuits. In March 2026, Ohio ruled that Kalshi's sports products constituted gambling. Attorneys General in Wisconsin and Arizona have also taken action against both major platforms. Federal tailwinds from the CFTC coexist with strong headwinds at the state level, and this tension won't disappear soon.

Third, token speculation is driving platform activity. A significant portion of trading volume in 2025 and early 2026 was related to market expectations for the POLY airdrop. Any platform touting impressive trading volume numbers without disclosing this context is misleading readers.

Conclusion

In 2024, prediction markets completed the leap from "interesting DeFi experiment" to a financial asset class. By 2025, they began building institutional-grade pipelines: strategic investments from exchange parent companies, CFTC-related settlements, Robinhood integration, and seed funding for clearinghouse layers.

In 2026, the real question for this sector has become: Who else has a chance to win besides Kalshi and Polymarket?

The current answer: Teams that go deep in verticals, possess clear distribution advantages, and can find paths for regulatory protection or on-chain liquidity density.

The opportunity for generalized replicas is over. Other paths, however, remain open.

If you are also building in this space and want to find the right growth architecture for your vertical, let's talk.

Related Questions

QWhat are the two dominant platforms in the prediction market as of 2026, and what are their key competitive advantages?

AAs of 2026, the two dominant platforms in the prediction market are Polymarket and Kalshi, forming a duopoly. Polymarket's key advantages include its on-chain infrastructure on Polygon, USDC settlement, zero-fee models for many markets, and strong media partnerships (e.g., with X and Substack) for distribution and visibility. Kalshi's core advantage is its CFTC designation as a Designated Contract Market, which provides regulatory compliance and enabled its integration into mainstream financial platforms like Robinhood, significantly expanding its user base.

QAccording to the article, what has become the most significant long-term driver for prediction markets, replacing political events?

AThe most significant long-term driver for prediction markets, as identified in the article, is sports. While the 2024 US Presidential election brought initial attention and users, sports markets successfully retained and grew that user base. By the end of 2025, sports markets accounted for 85% of Kalshi's trading volume and 39% of Polymarket's. This shift demonstrates that sustainable demand for prediction markets extends far beyond political cycles.

QWhat are some of the key vertical strategies or niches that new prediction market platforms are pursuing to challenge the duopoly?

ANew prediction market platforms are pursuing several vertical niches to challenge the dominant duopoly. These include: platforms focusing on short-cycle markets (like @trylimitless for minute/hour/day trades), media-native integrations (like @MyriadMarkets embedding predictions into content platforms), social-native trading via bots (like KASH on X), on-chain native metrics (like @HedgehogMarket for blockchain data), and dedicated infrastructure layers for sports betting (like @azuroprotocol).

QWhat major risks or challenges does the prediction market industry face according to the article?

AThe article highlights three major risks: 1) Controversy over trading volume metrics, with concerns about double-counting and wash trading potentially inflating reported figures. 2) Persistent legal friction at the state level, with multiple lawsuits and state-level rulings challenging the legality of certain prediction markets as gambling. 3) The influence of token speculation, where a significant portion of trading activity is driven by anticipation of token airdrops (like POLY), which may not represent genuine, sustainable user engagement.

QWhat is the article's conclusion about the future opportunity for new players in the prediction market space?

AThe article concludes that the opportunity for generic copycat platforms is over. Future success for new players lies in building platforms with deep specialization in a specific vertical (e.g., sports, finance), possessing clear distribution advantages (e.g., media integration, social embedding), and finding a viable path through regulatory hurdles or by leveraging on-chain liquidity density. The competition has evolved into a multi-dimensional battle involving liquidity, distribution, and regulatory strategy.

Related Reads

Xiaohongshu's Second Great Voyage, This Time Sailing Towards AI

Xiaohongshu's Second Voyage: Navigating Towards AI Since ChatGPT's emergence, Xiaohongshu's founder Mao Wenchao has been acutely aware of AI's potential threat, recognizing that the life advice people seek from chatbots overlaps directly with his platform's core business. Founded in 2013 as a PDF shopping guide for Chinese tourists, Xiaohongshu evolved into a massive community where millions share authentic, personal experiences—from product reviews to travel tips. This vast repository of "I've tried this" human judgment became its most valuable asset. However, the rise of AI, which delivers instant answers, challenges the very need for users to sift through numerous personal notes. Fearing its treasure trove of lived experience could become mere training data for others, Xiaohongshu is proactively adapting. In 2026, it established a dedicated AI division (Dots), launched RED Skill to turn user experiences into usable AI tools, and acquired the AI search product "Diandian." Its investments now extend to AI firms like MiniMax and hardware startups, moving upstream to address needs before they even become search queries. The platform's commercialization strategy is also evolving. With a newly acquired payment license and tools like the AIPS model to track consumer decision journeys, Xiaohongshu aims to seamlessly integrate recommendations with transactions, embedding commerce within AI-generated answers. Yet, a critical tension remains. While building smarter machines to organize and leverage its human experiences, Xiaohongshu must prevent AI from drowning out the authentic, flawed, and trustworthy "I've tried this" voices that built its community. Its core challenge is to harness AI's power without letting the map—the machine's perfect, synthesized answer—replace the territory of genuine human experience. This balance between technological advancement and preserving human trust defines its current journey and its future.

marsbit21m ago

Xiaohongshu's Second Great Voyage, This Time Sailing Towards AI

marsbit21m ago

SharpLink CEO: How to Understand Ethereum Developers Just Exceeded 1 Million?

SharpLink CEO reflects on the milestone of Ethereum surpassing 1 million historical developers, emphasizing that this figure represents the largest pool of technical talent ever assembled around an open, permissionless blockchain network. While approximately 232,000 developers remain active, the key question for the crypto industry is not which chain is fastest, but where the best builders choose to build long-term. Ethereum's advantage lies in a decade-long accumulation of infrastructure, standards, tools, liquidity, and a cohesive culture, making it the default operating system for programmable finance. This developer base is tackling complex challenges: the Glamsterdam upgrade aims to enhance scalability while preserving core principles; synchronous composability seeks to unify Rollup ecosystems; and significant efforts are underway for post-quantum security. Ethereum's deeper network effects stem from composability and shared standards (like the EVM and Solidity), creating a flywheel of more developers, tools, and liquidity. Three reinforcing strengths cement Ethereum's lead: credible neutrality (secured by ~900k validators), a modular architecture with interconnected Rollups, and a culture that attracts top researchers. The ecosystem is consolidating as the trusted coordination layer for internet-native finance, favored by large institutions valuing security and liquidity. The future of Ethereum is being built by this global community of founders and architects.

链捕手35m ago

SharpLink CEO: How to Understand Ethereum Developers Just Exceeded 1 Million?

链捕手35m ago

A Clod of Chinese Soil Chokes Two Japanese Giants

"Chinese Soil Chokes Japanese Giants" The production of a key electronic specialty gas, tungsten hexafluoride (WF6), vital for manufacturing AI chips, was halted by two leading Japanese producers—Kanto Denka and Central Glass. Their shutdown was not due to a technological failure but a sudden, critical shortage of a raw material they had long taken for granted: ultra-high-purity (6N-grade) tungsten powder, which is almost entirely sourced from China. Following a quiet Chinese export announcement in January 2026, tungsten powder shipments to Japan dropped to zero for months. Despite frantic efforts, Japanese companies found no viable alternative; imported powder was three times more expensive and lacked the required purity. Their existing stockpiles were exhausted by mid-2026. WF6 is essential for depositing tungsten into the microscopic contact holes of High Bandwidth Memory (HBM) chips, which are crucial for advanced processors like those from Nvidia. While Japanese firms had mastered producing ultra-pure WF6 gas, their entire supply chain relied on China's 6N tungsten powder—a dependency now revealed as a fatal vulnerability. China's dominance in this "soil" results from decades of painstaking R&D by companies like Xiamen Tungsten and China Tungsten & Hightech. They overcame immense technical hurdles, such as separating chemically similar molybdenum from tungsten, to achieve mass production of the world's purest tungsten powder. With their primary suppliers gone, Kanto Denka and Central Glass announced a permanent halt to WF6 production starting July 1, 2026. This immediately created a supply crisis for major semiconductor manufacturers like Samsung and SK Hynix, forcing them to urgently seek and certify new Chinese suppliers for WF6 itself. The reversal marks a dramatic shift: China has moved from exporting low-value raw materials to controlling the high-purity foundation of a critical global tech supply chain, upending a long-established industrial hierarchy.

marsbit1h ago

A Clod of Chinese Soil Chokes Two Japanese Giants

marsbit1h ago

Trading

Spot
Futures

Hot Articles

How to Buy T

Welcome to HTX.com! We've made purchasing Threshold Network Token (T) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy Threshold Network Token (T) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your Threshold Network Token (T)After purchasing your Threshold Network Token (T), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade Threshold Network Token (T)Easily trade Threshold Network Token (T) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

12.0k Total ViewsPublished 2024.03.29Updated 2026.06.02

How to Buy T

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 T (T) are presented below.

活动图片