TLDR
- Jupiter Exchange has launched a beta prediction market on Solana in partnership with Kalshi, with plans for full rollout in Q4 2025
- The beta currently offers one market on the Formula One Mexico Grand Prix winner, which has generated over $120,000 in volume
- Jupiter aims to attract more users and increase revenue for JUP tokenholders through prediction market offerings
- Kalshi raised $300 million at a $5 billion valuation while Polymarket received a $2 billion investment at a $9 billion valuation
- The prediction market industry hit $2.03 billion in weekly trading volume across platforms as of October 13, 2025
Jupiter Exchange announced the beta launch of its native prediction market on Wednesday. The Solana-based decentralized exchange aggregator built the new platform with Kalshi. Users can now bet on real-world events directly through Jupiter’s interface.
Max Verstappen, or Lando Norris? Oscar Piastri or George Russell?
Jupiter’s first ever Prediction Market is now LIVE (in beta).
Powered by @Kalshi liquidity, you can trade on the F1 Mexico Grand Prix Winner 👇 pic.twitter.com/HaY8LnsThO
— Jupiter (🐱, 🐐) (@JupiterExchange) October 22, 2025
The beta version started with a single market. Users are betting on which Formula One driver will win the Mexico Grand Prix. The test market has already generated over $120,000 in trading volume since launch.
Kash Dhanda serves as chief operating officer at Jupiter Exchange. He told reporters that Jupiter wants to offer users many different products under one platform. Prediction markets will help attract new users to the platform.
Jupiter had 8.4 million active users in the third quarter. This represents a 5% increase from the previous quarter. The exchange expects prediction markets to drive more growth.
Global maximum contracts are set at 100,000 for the beta. Individual positions are limited to 1,000 contracts. These restrictions will likely change as the platform develops.
Max Verstappen leads the inaugural market with 46% odds. The Dutch-Belgian driver is favored to win the Mexico Grand Prix. British driver Lando Norris comes second with 27% odds.
Growing User Base and Revenue
Dhanda explained how prediction markets will benefit JUP tokenholders. The new product increases Jupiter’s reach across different user segments. Cross-product synergy will grow as more users engage with multiple features.
Revenue from prediction markets flows back to the platform. Long-term tokenholder value increases as the product matures. Jupiter plans to add more markets based on user feedback.
The full launch is scheduled for Q4 2025. Jupiter will gradually increase limits and add new markets. The team will iterate on the product throughout the beta period.
Kalshi provides liquidity for Jupiter’s prediction market. The partnership allows Jupiter to tap into Kalshi’s infrastructure. Users can trade yes and no tokens on event outcomes.
Industry Investment and Growth
Polymarket received a $2 billion investment from Intercontinental Exchange on October 7. The investment valued Polymarket at $9 billion. Intercontinental Exchange owns the New York Stock Exchange.
Kalshi completed a $300 million Series D funding round. The company reached a $5 billion valuation. Investors included Sequoia Capital, Andreessen Horowitz, Paradigm, CapitalG, Coinbase Ventures, General Catalyst and Spark Capital.
Weekly trading volume across prediction market platforms reached $2.03 billion for the week ending October 13. This marked an all-time high for the industry. The data comes from a Dune dashboard tracking prediction market activity.
Kalshi currently holds 70% of the prediction market based on trading volumes. The platform also carries 57% of open interest. Kalshi has gained ground through sports betting offerings.
Both Kalshi and Polymarket have introduced micro-betting features. These markets resolve within minutes instead of days or weeks. Micro-betting is projected to generate $1 billion in revenue for 2025.
The micro-betting market could reach $3.5 billion by 2026. Short-term predictions attract retail users with quick resolutions. On-chain records provide transparent reporting for these rapid markets.
