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中文

Tokenised Real-World Assets Move Into Institutional Mainstream

中文标题

代币化现实世界资产迈入机构主流

Unknown economy
Citable research brief

Core conclusion · Tlines extraction

Barclays Research outlines a framework in which digital assets, a near-$3 trillion ecosystem, are spreading into institutional use beyond cryptocurrencies. Growth comes via wrappers, tokenised real-world assets and money market funds, while tokenised repo illustrates how blockchain may lift collateral mobility, reconciliation and operational efficiency. Faster settlement and more continuous liquidity could cut risk and free capital. Barclays Research expects 3.1% global growth in 2026 and advises staying long the growth cycle.

Institution
Barclays
Published
09/14/2026
Research topic
Not explicitly stated
Time horizon
2026

Key arguments

  • Digital assets now form a near-$3 trillion ecosystem spanning far more than cryptocurrencies.
  • Institutional adoption is broadening via wrappers, tokenised real-world assets and money market funds.
  • Tokenised repo demonstrates blockchain's potential to improve collateral mobility, reconciliation and operational efficiency.
  • Faster settlement and more continuous liquidity could reduce risk and free up capital across financial markets.

Key numbers

Digital asset ecosystem size
near $3 trillion
2026 global GDP growth forecast
3.1%

Main risks

  • The framework is qualitative and does not quantify adoption timelines or investment targets.
  • Operational, legal and regulatory hurdles for tokenised cash, collateral and settlement are not addressed.
  • The 3.1% growth forecast is a base case that may not materialise.

Corresponding source evidence

  1. The global economy should grow 3.1% in 2026; Barclays Research think investors should stay long the growth cycle. · 2026

Context: the conclusion is Tlines' automated extraction, not the institution's wording. Quoted evidence is publisher wording. Scope and date must travel with the conclusion.

Verify at the original source ↗
Complete Research
Complete English original

Digital assets are moving into the institutional mainstream, with expanding use cases for investors, banks and corporate treasurers. A new Barclays Research framework shows how the opportunity extends well beyond cryptocurrencies to tokenised real-world assets and, perhaps most importantly, the infrastructure used to manage cash, collateral and settlement.

  • Digital assets now span a near-$3 trillion ecosystem, extending well beyond cryptocurrencies.
  • Institutional adoption is broadening through wrappers, tokenised real-world assets and money market funds.
  • Tokenised repo shows how blockchain can improve collateral mobility, reconciliation and operational efficiency.
  • Faster settlement and more continuous liquidity could reduce risk and free up capital across financial markets.

Zornitsa Todorova leads the Thematic FICC Research team at Barclays, based in London. She is a Director, and covers topics such as market structure, financial market innovation, and emerging macroeconomic trends. Zornitsa and her team employ quantitative, academic-style methods to analyse the global impact of these themes across credit, rates, and macro products. Before joining Barclays in 2019, she taught risk management and investments at Bocconi University and the Berlin School of Business and Innovation. Her research has been featured in peer-reviewed journals such as The Journal of Financial Markets, Institutions and Instruments, The Journal of Corporate Ownership and Control, and The Review of Finance and Banking. Zornitsa holds a PhD with honors in Economics and Finance from Bocconi University in Italy.

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AI analysis

AI-generated from the report above · not a translation and not the institution's wording · verify against the official source

How this page was produced

Tlines extracted the conclusion, arguments, numbers and risks above from the report published by Barclays on 09/14/2026, then structured them for comparison. The publisher's own wording is reachable through the source link on this page. Last updated 10/17/2026. Methodology · Source policy · AI usage · Request a correction