What is the market size of tokenized assets? How to distinguish between different metrics?

FFlowie
Published 5 minUpdated

The opening question of the RWA industry report is "How big is this market?" However, the market size of tokenized assets is precisely the figure that is most prone to inconsistent definitions: issuance volume, TVL, AUM, and transaction volume each answer different questions. Mixing or solely using any one of these can lead to distorted conclusions. This article breaks down several commonly used metrics for easier reference according to research questions.

Who is this article suitable for?

  • Researchers writing the "Market Size" chapter of RWA industry reports;
  • Analysts and media who need to cite market size data;
  • Institutional investment teams assessing market space.

Three metrics, three answers

Metric One: Issuance Volume. The total amount of tokens issued, answering the question of "supply size." Issuance volume reflects the number of tokens issued and does not necessarily correspond to trading activity; it is suitable as structural background but should not be used alone as a conclusion on scale.

Metric Two: TVL / AUM. The value of assets locked in protocols or custody, answering the question of "stock size." The holding of government bond-type RWAs serves as the purpose, and TVL is a commonly used metric for scale; while the value of stock-type assets is more reflected in trading, stock data reflects another aspect.

Metric Three: Transaction Volume. The actual amount exchanged, answering the question of "trading activity level." The transaction volume of tokenized assets dashboard aggregates support switching between 24H/7D/30D to observe trends, which is a common metric for measuring trading activity.

Report Writing Suggestions

A solid structure for the market size chapter: list by metric and explain the questions each answers—issuance volume describes supply structure, AUM/TVL describes stock size, and transaction volume describes trading activity; each number should indicate the statistical scope and Data as of date. When comparing with government bond-type RWAs, it is especially important to handle them separately: the former is a "holding market," commonly using the TVL metric; tokenized stocks are a "trading market," where the reference significance of transaction volume is more direct—but this is a metric adaptation issue, not which number "is the market." For metric details see Tokenized Asset Methodology .

Usage Restrictions

  • Transaction volume is rolling window data, and different platforms may have different statistical scopes (whether including contracts), so when citing, indicate the metric and Data as of; common questions can be found in the Tokenized Assets FAQ;
  • Market size is descriptive data and does not constitute investment advice.

Data Collection Your Market Size Reference Metrics

Open Tokenized Assets Dashboard , switch between 24H/7D/30D three time windows to record transaction volume levels—three numbers in a group can serve as a reference for trading activity. What asset classes make up the market, see "Do Tokenized Stocks Count as RWAs?"; for a comprehensive overview, see "What Traditional Assets Have Been Tokenized?" The three articles belong to Tokenized Asset Sector RWA Research Series.

Related content

Tokenized AssetsArticle

Which traditional assets have been tokenized? A comprehensive overview of the on-chain stock world.

"What traditional assets are already on-chain?" — This is the first question that every researcher entering this field must answer, but the complete answer is not found in the popular rankings: beyond the leading assets, there are also a large number of long-tail assets covering sectors such as technology, finance, consumption, and healthcare. Clarifying the asset universe provides a reliable sample framework for all subsequent research.

FFlowie
5 min
Tokenized AssetsArticle

Tokenized stocks are considered RWA (Real World Assets). They include several subcategories, such as: 1. **Equity Tokens**: Represent ownership in a company. 2. **Debt Tokens**: Represent loans or bonds issued by companies. 3. **Real Estate Tokens**: Represent ownership or shares in real estate properties. 4. **Commodity Tokens**: Represent physical commodities like gold or oil. 5. **Art Tokens**: Represent ownership in artworks or collectibles.

"Tokenized assets" is a broad term that can encompass many things—but the first step in research is to distinguish: tokenized stocks, tokenized U.S. Treasuries, and tokenized gold, while similar in name, are three types of products with significant differences in product structure, holder structure, and trading venues. Mixing them together for statistics is a common classification issue in RWA research.

FFlowie
5 min
Tokenized AssetsArticle

Which exchanges have issued this stock token asset? Where is it custodied? How can I check?

The on-chain tokens of the same stock often have more than one version—versions issued by exchanges and those by professional issuers, each running on different chains with different custody arrangements. Whether researching this asset, understanding its structural information, or simply wanting to find out "who is behind this version," the first step is the same: to find out its issuer and custody information.

FFlowie
5 min
Tokenized AssetsArticle

Which tokenized sectors are heating up? The ratio of rising to falling tokens is more honest than the rise of a single token.

"The tokenization of AI concept assets and the return of funds" — the value of such trend judgments is far greater than the movements of a single underlying asset, but it requires evidence at the sector level. How can we prove that a sector is heating up? A significant rise in a leading token is not enough; the proportion of rising assets within the sector is a more honest metric. The asset label map of the tokenized asset dashboard, which categorizes asset quantity and price fluctuation distribution across more than 20 sectors such as growth stocks, large-cap stocks, AI, and semiconductors, serves as a tool for making this judgment.

FFlowie
5 min