New Opportunities in the Oracle Machine Track: RWA and Diversified Data Services

The Oracle Machine, as one of the cornerstones of the blockchain world, primarily demonstrates its core competitiveness in four aspects: the comprehensiveness and reliability of data acquisition, the acquisition of exclusive data and value capture, the security and decentralization of the verification mechanism, and the transmission efficiency and network robustness.

With the development of the industry, the application scope of Oracle Machine is expanding from a single DeFi price data transmission to a wider range of real-world assets (RWA) and diversified data services. This trend brings new growth opportunities to the Oracle Machine track.

RWA: The Second Growth Curve of the Oracle Machine

The rise of RWA provides a new development direction for Oracle Machine. Unlike DeFi, which mainly provides price feeds, the demand for Oracle Machine in RWA is more complex, including both asset valuation and real-time tracking of the status of physical assets with on-chain synchronization.

Currently, mainstream Oracle Machine projects such as Chainlink, Redstone, and Pyth Network have begun to布局 in the RWA field. Their development paths mainly have two directions: one is to continue the DeFi logic, strengthening the on-chain of off-chain financial assets; the other is to explore more complex off-chain entity data modeling, providing real-time data support for high-threshold asset types.

For non-financial assets, such as real estate, charging piles, photovoltaic components, etc., the Oracle Machine needs to provide more complex services. This includes accessing data sources that reflect the asset's status and influencing factors, and using mathematical models to convert this information into reliable on-chain prices or risk assessments.

Diversified Data Services: Expansion from 2 to N

With the expansion of on-chain demand, especially with the emergence of new scenarios such as RWA, DePIN, AI, and DeSci, the service capability of the Oracle Machine is shifting from "generalized transmission" to "vertical processing". In the future, the industry will move from "unified price feeding" to a state of parallel development of "multiple types of dedicated oracles".

IoT Oracle Machine

The rise of the DePIN concept has driven the development of IoT Oracle Machines. These types of oracle machines can bring off-chain hardware data on-chain, allowing device users to monitor device data in real time. However, the standardization of different hardware data remains a pressing issue that needs to be addressed.

Code Oracle Machine

With the integration of AI and blockchain, the demand for code Oracles is also increasing. These types of Oracles can upload off-chain code to the blockchain, providing support for scenarios such as vulnerability checks for smart contracts.

Biomolecular Oracle Machine

The development of the DeSci field has created opportunities for the Oracle Machine of biomacromolecules. This type of oracle can upload data from biopharmaceutical research onto the blockchain, providing investors with decision-making references.

Conclusion

The Oracle Machine is gradually evolving from a "universal data layer" that serves standardized financial agreements to a "multimodal infrastructure" that supports vertical scenarios. RWA is expected to become the main second growth curve in the Oracle Machine track, while verticalized dedicated Oracle Machine startups will continue to emerge.

With the increasing demand for more modal data on-chain and the enhancement of smart contract performance, the Oracle Machine industry will welcome new development opportunities. However, this also raises higher requirements for the Oracle Machine in terms of front-end data verification and back-end smart contract execution, necessitating the reconstruction of certain business scenarios.