Adoption geography

Retail and institutional adoption are different signals

How Chainalysis constructs the 2025 index and what its geography can - and cannot - say about tokenized-property demand.

Key findings

  • India ranked first and the United States second in the 2025 composite index.
  • Retail centralized activity counts transfers below $10,000, while the new institutional sub-index uses transfers above $1M.
  • APAC led grassroots activity; North America and Europe were larger in absolute received value in the report period.
  • Population adjustment changes the leading geography, with Ukraine, Moldova, and Georgia at the top.

Practical meaning

  • Use geography to inform distribution, onboarding, language, payment, and professional-partner planning.
  • Separate grassroots activity from institutional flows and from actual demand for a particular property structure.

Composite methodology

Chainalysis combines four sub-indices across 151 countries, weights for population and purchasing power, takes a geometric mean, and normalizes the result. A rank is therefore not raw transaction value.

Why retail and institutional differ

Small transfers can reflect household use, while transfers above $1M may reflect institutions, intermediaries, or transactions conducted for end clients. The thresholds improve segmentation but do not reveal every actor's identity.

Limitations

  • Web-traffic patterns help attribute activity to countries and can be affected by VPNs.
  • Transfer-size thresholds are proxies, not identity verification.
  • The 2025 methodology removed retail DeFi and added an institutional sub-index.

What this source does not establish

  • Demand for tokenized real estate
  • Accredited-investor status
  • Regulatory permission
  • Wealth or risk tolerance

Full source citations

Evidence used

The 2025 Global Adoption Index

Chainalysis · 2025-09-02 · adoption report

PDF pp. 2-6: methodology and retail/institutional sub-indices; PDF pp. 6-11: rankings and geographic interpretation; PDF pp. 20-24: coverage caveats, corrections, and limitations

Open public source ↗

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