In a landmark move that bridges traditional finance and decentralized market infrastructure, Bloomberg and digital asset data provider Kaiko have launched a strategic initiative to make institutional-grade financial data accessible on blockchain networks — a development aimed at accelerating real-world asset tokenization and improving data reliability across on-chain capital markets.
The collaboration focuses on delivering Bloomberg’s Data License offerings — a suite of trusted pricing, reference and security identifier datasets widely used in global financial markets — directly on-chain through Kaiko’s infrastructure. Rather than relying solely on traditional off-chain databases, the goal is to embed this licensed information within blockchain environments so that institutional participants can build tokenized products with a single, verifiable source of market data.
Tokenized markets — especially those involving real-world assets like tokenized U.S. Treasury securities and repurchase (repo) instruments — have long struggled with data fragmentation. Different firms often depend on disparate sources for pricing or reference information, leading to reconciliation issues, timing mismatches and operational inefficiencies. By bringing Bloomberg’s data on-chain, the initiative aims to reduce ambiguity and automation friction, allowing counterparties to reference a single licensed dataset for valuation, settlement and risk workflows.
The first phase of deployment targets tokenized U.S. Treasuries and repo markets operating on the Canton Network, a permissioned blockchain designed specifically for institutional financial applications. Kaiko’s existing data on-ramp service — introduced on Canton in August 2025 — will be the technical bridge that securely writes Bloomberg’s off-chain datasets on-chain while preserving intellectual property rights and licensing controls. Only entitled participants with valid data licenses will be able to access Bloomberg’s information within the blockchain environment, aligning with traditional data access models.
This offering is squarely aimed at regulated financial institutions — including banks, asset managers and other institutional trading firms — rather than retail crypto traders. Consistent, high-quality reference data is considered essential for institutional adoption of tokenized financial products, helping ensure that on-chain instruments accurately reflect their underlying off-chain assets.
The broader tokenized real-world asset (RWA) market — excluding stablecoins — is currently estimated at roughly $25 billion in total value, with a rapidly expanding subset focused on tokenized Treasury instruments on private or permissioned networks like Canton.
By embedding licensed market data into blockchain workflows, Bloomberg and Kaiko are laying the groundwork for more automated, reliable and compliant on-chain financial markets — a key component for scaling tokenization beyond pilot use cases. As traditional finance and Web3 continue to overlap, trusted on-chain data infrastructures could become a cornerstone of next-generation capital markets.
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