RedStone Research, 31st August 2023
![](https://blog.redstone.finance/wp-content/uploads/2023/08/rwa-report-1024x534.png)
Key Takeaways
- Real World Assets (RWA) protocols bridge traditional financial markets with DeFi, creating new use cases and opportunities. Asset tokenization enhances efficiency, transparency, and accessibility in the financial sector.
- Institutions such as JP Morgan, Goldman Sachs, and Hamilton Lane are exploring real-world asset tokenization. MakerDAO incorporates RWA in DAI collateral, Centrifuge leads in RWA lending, while Ondo Finance and Matrixdock play the first fiddle in tokenizing exposure to the short-term U.S.Treasuries.
- Gold is the second most tokenized asset regarding market capitalization in crypto, following USD, which is the leader. The debt market takes third place.
- Tokenization technology has the capability to transfer tangible and intangible assets on-chain. Apart from established classes such as real estate, precious metals, and financial products, RWA tokenization extends to intangible assets like intellectual property, expanding the possibilities for creators and innovators.
- Oracles are important cogs in the RWA tokenization mechanism. They provide data feeds, which are utilized to price RWA-backed tokens on various platforms and dApps. Secondly, they ensure accurate collateral valuation for CDPs and internal redemption mechanisms of RWA protocols, which ensures fair trading.
- Collaboration between traditional finance and decentralized projects is at levels never seen before. Further adoption faces challenges, including regulatory uncertainty, however, their cooperation can address emerging issues.
Featured RWA Projects
![](https://blog.redstone.finance/wp-content/uploads/2023/08/Screenshot-2023-08-30-at-12.36.15-1024x633.png)
About RedStone
RedStone is revolutionizing the Oracles industry by implementing novel modular design and 3 tailor-made data consumption models. You can build the new generation of DeFi & Web3 protocols based on RedStone’s versatile data offering of long-tail, LP, LST, and Ecosystem-native tokens, as well as Real World Data and custom feeds.