Standard Chartered has issued a bullish long-term forecast for Chainlink, projecting the oracle network's LINK token could climb to $200 by 2030 as tokenization of real-world assets swells into a multitrillion-dollar market.
## A Bank Bets Big on DeFi Infrastructure The banking giant has laid out 2030 price targets for a cluster of decentralized finance tokens, including Uniswap, Aave, Morpho and Chainlink. Each projection is anchored to a single overarching assumption: that the DeFi sector will expand dramatically over the coming years, with the bank penciling in roughly 37-fold growth.
Chainlink sits at the center of this thesis. As a provider of data feeds and cross-chain infrastructure, the network is positioned to benefit if traditional financial institutions move to tokenize assets at scale and require reliable connections between blockchains and off-chain systems.
The bank ties Chainlink's fortunes directly to a $4 trillion wave of asset tokenization.
## The $4 Trillion Tokenization Thesis Standard Chartered's optimism rests on the belief that tokenization of real-world assets could reach around $4 trillion. If that materializes, the infrastructure that makes tokenized markets function becomes increasingly valuable, and Chainlink is one of the protocols the bank sees capturing that demand.
The forecast forms part of a broader effort by the institution to assign concrete valuations to leading DeFi projects rather than treating the space as purely speculative. By setting numerical targets across multiple tokens, the bank signals that it views these networks as long-term components of a maturing financial system.
Key takeaways from the bank's outlook include:
- A $200 price target for Chainlink's LINK token by 2030
- Companion 2030 targets set for Uniswap, Aave and Morpho
- A projected 37x expansion of the DeFi market underpinning every estimate
As with any multiyear crypto forecast, the projections hinge on assumptions that may or may not play out. Regulatory shifts, competition among protocols and the pace at which institutions actually embrace tokenization will all shape whether these targets prove accurate.
