Pyth Network aims at a $50 billion market, challenging Bloomberg's data hegemony! It will surpass traditional exchanges by 2026.

In the traditional finance market, institutions spend about $50 billion annually to purchase market data, primarily flowing to giants like Bloomberg and Refinitiv. However, this data model has long been criticized: it is expensive, fragmented, has latency issues, and lacks transparency. Now, a blockchain protocol named "Pyth Network" is trying to break the status quo, not only has it established a foothold in the DeFi space but is also fully promoting "Phase 2" institutional-grade products, preparing to officially enter this $100 billion BTC market.

It is worth mentioning that on August 28 this year, the U.S. Department of Commerce announced that it has uploaded the second quarter GDP to the Blockchain, specifically using the "Pyth Network." The department stated that this is the first time a federal agency has published such economic statistics on the Blockchain, and it is also the latest way to protect federal data and promote public use through innovative technology.

(The US Department of Commerce has put official economic data on the blockchain through two major oracles, with Pyth rising over 62% and LINK rising over 6.73%)

From On-chain Oracles to TradFi Partners: The Evolution Path of Pyth

Since its launch in 2021, Pyth Network has focused on creating a reliable and real-time price data distribution network. It has currently integrated exclusive price data from hundreds of top market makers and exchanges around the world, including DRW, Jump, Jane Street, Virtu, and more.

The report card of Pyth Network is impressive:

Over $1.6 trillion in cumulative trading volume

600+ protocols integrated, spanning over 100 blockchains

Holding over 60% of the DeFi derivatives market share

Selected by the U.S. Department of Commerce as one of the official channels for data release.

This makes Pyth the most representative on-chain market data platform in the world.

Pyth Efficient Supply Chain Pyth Application Integration Phase 2: Pyth Opens the Path to Institutional Revenue, Targeting a Market Size of 50 Billion

Pyth officially enters "Phase 2", where the focus is on bringing on-chain price data into off-chain markets through subscription-based products, creating a data subscription platform that spans across assets, regions, and applications.

Target customers include:

Risk control and clearing system of financial institutions

Government regulation and compliance tools

Financial and Audit Software

Trading Display and Research Platform

Payments for subscriptions will be made in USD, stablecoins, or PYTH tokens, and subscription revenue will flow back to the DAO for governance decisions, including token buybacks, user rewards, development funds, etc., forming a positive economic cycle.

Phase 3: Pyth aims for 50,000 asset targets, officially surpassing TradFi exchanges in 2026.

According to the latest charts, as of now (2025), traditional exchanges such as NASDAQ, Cboe, and NYSE still hold the most securities market data (5,000+ symbols), but Pyth Network has ranked first among crypto data platforms with 1,930 diverse asset symbols.

More importantly — it is predicted that by 2026, Pyth Network will cover 10,000 assets, surpassing all traditional exchanges.

Institution Name 2025 Target Coverage 2026 Projected Target Pyth Network 1,930 10,000 NASDAQ 5,500 5,500 (growth slows) NYSE 4,300 4,300 Binance 750 about 1,500 (estimated) Coinbase 450 about 1,000 (estimated)

Pyth plans to add 200 to 300 new assets each month, covering areas including:

Major exchanges and OTC markets

Permissioned and permissionless DeFi

spot, futures, fixed income, foreign exchange, commodities and other asset classes

This "full coverage + open sharing" model is reminiscent of how Spotify disrupted the music industry, and Pyth will become the data streaming platform for the financial markets.

Users share the dividends of the data economy, breaking the traditional monopoly model.

Pyth not only wants to provide data, but also to redistribute the value of data.

Currently, the value of data in the market is mainly concentrated in the "downstream" information providers and resellers, while the trading companies and market makers that actually produce high-quality prices find it difficult to benefit. Pyth's approach is to source the data directly from the producers, bypassing the intermediaries, allowing the original data suppliers to share in the profits.

This design not only increases the accuracy and timeliness of data but also creates a brand new Web3 data economic model that encourages more participants to join, contribute, and share value.

Pyth aims to be more than just an oracle; it wants to be Layer 1 for global financial data.

The ultimate goal of Pyth Network is not only to defeat Bloomberg and Refinitiv but also to become the "Price Layer" of the global financial market. This will be a long and profound market transformation, but based on the current achievements and plans, Pyth has undoubtedly already gained a favorable position.

With the launch of Phase 2 and the emergence of institutional data products, the next two years will be the most critical expansion period for Pyth Network. We will see whether it can truly shake the hegemony of traditional market data.

This article discusses how Pyth Network targets a $50 billion market, challenging Bloomberg's data hegemony! By 2026, it will surpass traditional exchanges, first appearing in Chain News ABMedia.