Bloomberg and Kaiko Bring Licensed Financial Data Onchain to Support $25B Tokenized Asset Market

Bloomberg is partnering with Kaiko to deliver licensed financial market data directly onto blockchain networks, a move aimed at strengthening data integrity across the fast-growing tokenized real-world asset sector. The collaboration focuses on embedding consistent pricing and reference data within blockchain-based systems rather than relying solely on traditional offchain databases.

Tokenized US Treasurys and Repo Markets on Canton Network

The first implementation centers on tokenized US Treasurys and repurchase agreement markets operating on the Canton Network, a permissioned blockchain built for institutional finance. By integrating Bloomberg’s licensed datasets through Kaiko’s infrastructure, the initiative seeks to ensure that banks, asset managers and other regulated participants reference a unified source of financial information when issuing and trading tokenized securities.

In fragmented tokenized ecosystems, institutions often depend on varying pricing feeds or security identifiers, creating reconciliation challenges and operational risk. Embedding standardized data directly onchain aims to reduce discrepancies and improve settlement efficiency.

Data Integrity in a $25 Billion Tokenized RWA Market

Estimates place the tokenized real-world asset market, excluding stablecoins, at roughly $25 billion. However, industry participants have previously questioned inflated figures, highlighting the need for transparent and verifiable datasets.

Institutional-grade data has long underpinned traditional capital markets. As tokenization expands into government bonds and short-term funding instruments, accurate pricing and reference information become critical to ensuring that blockchain-based representations faithfully track their underlying assets.

Disclaimer

This content is for informational purposes only and does not constitute financial, investment, or legal advice. Cryptocurrency trading involves risk and may result in financial loss.