Displayed by the cited source at a stated date.
Source registry
Every claim needs a boundary
Observed, calculated, estimated, projected, and inferred evidence remain visibly distinct. Attached PDFs are research inputs, not runtime dependencies and are not published here.
Computed by CryptoImmovables from disclosed source values.
Modeled by the publisher rather than counted directly.
A future scenario, not present market value.
An interpretation bounded by the source and method.
live market snapshot
Tokenized Real Estate
RWA.xyz · Published 2026-08-22 · Reviewed 2026-08-23
Claims permitted
- The dated public snapshot reported $226.44M distributed value, $279.85M represented value, 19.36K holders, 853 monthly active addresses, 105 assets, and 11 countries.
- Distributed value rose 11.59% over 30 days while monthly active addresses fell 25.04% over the same stated period.
- The visible distributed platform table listed Groma, Reental, DigiShare, Securitize, RealtyX, BT Asset Hub, and Ondo at the displayed values.
- RWA.xyz publicly defines distributed and represented assets by external-wallet mobility and peer-to-peer transferability.
Limitations
- This is a dated snapshot, not a licensed live feed or a complete republication of the RWA.xyz database.
- Locked market-share fields are unavailable and are not reproduced.
- Displayed platform values are rounded; concentration calculations using them are approximate.
- The snapshot shows a Hybrid label for one row, but a current public definition was not verified; CryptoImmovables does not define it.
- Address and holder counts do not establish unique people, liquidity quality, legal ownership, or investment merit.
empirical working paper
When bricks meet bytes: does tokenisation fill gaps in traditional real estate markets?
Bank for International Settlements · Published 2026-06-30 · Reviewed 2026-08-23
Claims permitted
- In the studied U.S. platform dataset, areas with weaker access to traditional credit showed faster growth in tokenized properties.
- Trading rose by 35% cumulatively over the two days following a disaster declaration in the studied dataset.
- The observed liquidity response depended on platform buyback features, creating a solvency trade-off.
Limitations
- A BIS working paper reports the author's research and not necessarily BIS policy.
- The analysis is U.S.-focused, covers selected property-level platforms and 2019-2025 data, and should not be generalized to all tokenized real estate.
- The 35% result is an empirical event-study finding, not a guarantee that tokenization creates liquidity in other settings.
- Buyback liquidity can fail or amplify stress when the supporting platform lacks capacity.
policy paper
Tokenisation of assets and distributed ledger technologies in financial markets
OECD · Published 2025-01-09 · Reviewed 2026-08-23
Claims permitted
- The OECD identifies limited liquidity, ecosystem scale, custody, payment rails, interoperability, identification, standards, accounting, and legal recognition as adoption barriers.
- Ownership of a token does not necessarily confer ownership of the underlying asset.
- Policy should remain technology-neutral while addressing risks that may be more acute in DLT-based finance.
Limitations
- The paper identifies possible impediments and policy considerations; it does not certify individual platforms or forecast market size.
- Barriers vary by jurisdiction, asset, network design, and market structure.
regulatory guidance
Guidelines on the conditions and criteria for the qualification of crypto-assets as financial instruments
European Securities and Markets Authority · Published 2024-12-17 · Reviewed 2026-08-23
Claims permitted
- Classification is technology-neutral and focuses on economic function, rights, and obligations rather than the token label or technical form.
- A crypto-asset qualifying as a financial instrument is subject to MiFID II rather than MiCA.
- Classification requires a complete, case-by-case assessment.
Limitations
- The guidance does not provide an automated legal conclusion for a specific offering.
- National implementation, other EU rules, non-EU law, and the facts of an offering still matter.
- MiCA status alone does not establish that an offering is lawful or suitable.
commercial forecast
Digital dividends: How tokenized real estate could revolutionize asset management
Deloitte Center for Financial Services · Published 2025-04-24 · Reviewed 2026-08-23
Claims permitted
- Deloitte forecasts $4T of tokenized real estate by 2035, versus less than $0.3T in 2024, at a stated 27% CAGR.
- Deloitte separately forecasts $1T in private real estate funds, $2.39T in loans and securitizations, and $50B in undeveloped land and under-construction projects by 2035.
Limitations
- These are projections, not current market values or an official census.
- The method is a meta-analysis of market-size forecasts combined with Deloitte penetration assumptions.
- The three detailed segments shown do not arithmetically equal the $4T headline and should not be presented as an exhaustive reconciliation.
adoption report
The 2025 Global Adoption Index
Chainalysis · Published 2025-09-02 · Reviewed 2026-08-23
Claims permitted
- India ranked first and the United States second in the 2025 composite index.
- The methodology separates retail-sized centralized activity below $10,000 and institutional-sized activity above $1M, alongside other sub-indices.
- APAC led grassroots activity while North America and Europe remained larger in absolute received value in the report period.
Limitations
- Country transaction volumes are estimates informed by service web traffic; VPNs and location attribution introduce uncertainty.
- The index changed methodology in 2025, limiting simple year-to-year comparisons.
- Transfer-size categories are proxies and do not identify every actor's true retail or institutional status.
- The report does not measure demand for tokenized real estate specifically.
wealth estimate
The Crypto Wealth Report 2025
Henley & Partners / New World Wealth · Published 2025-09-23 · Reviewed 2026-08-23
Claims permitted
- The report estimates 241,700 crypto millionaires and 590M crypto users as of 30 June 2025.
- The wealth figures use in-house wealth-tier models, a progressive Lorenz-curve distribution, and open-source information on large holdings.
Limitations
- The figures are modeled commercial estimates, not an official census or verified count of named individuals.
- Holdings may be pseudonymous, shared, custodial, lost, or otherwise difficult to attribute to people.
- The report does not establish willingness or eligibility to invest in tokenized property.