Beyond the Headline Number: How to Measure the Tokenized RWA Market
Why definitions, asset coverage, methodology, and market activity matter as much as the number itself
The tokenized real-world asset market is frequently described through a single number.
How many billions, or potentially trillions, of dollars are already tokenized? How large will the market become by 2030? How quickly is adoption growing?
These are reasonable questions. But they can produce misleading answers when the methodology behind the numbers is overlooked.
Estimates of the tokenized asset market vary considerably. McKinsey, for example, has estimated that tokenized financial assets could reach approximately $2 trillion by 2030 in its base case, excluding cryptocurrencies and stablecoins. A 2026 Boston Consulting Group analysis uses a substantially broader growth scenario and estimates $14 trillion of tokenized real-world assets by 2030, while explicitly excluding real estate and tokenized money/stablecoins from that particular sizing.
The difference illustrates an important principle:
Before comparing RWA market numbers, compare what the numbers are actually measuring.
The challenge is not simply calculating market size. It is defining the market itself.
There Is No Single Definition of the RWA Market
“Real-world asset” is a broad category.
Depending on the dataset or research methodology, RWAs can include government bonds, corporate debt, private credit, real estate, commodities, investment funds, private equity, infrastructure, trade receivables, intellectual property, and other financial or physical assets represented using distributed ledger technology.
But different market estimates include different combinations.
One dataset might count tokenized U.S. Treasury products and private credit but exclude stablecoins. Another might include tokenized deposits. Another might count real estate. Another may focus exclusively on financial securities.
This creates an immediate comparability problem.
A $20 billion market measured using one definition is not necessarily smaller than a $50 billion market measured using another. The second measurement may simply have a wider perimeter.
For that reason, every credible market-size figure should begin with a basic question:
What is included, and what is excluded?
Tokenized Assets and Digitally Represented Assets Are Not Always the Same Thing
A second challenge concerns what qualifies as “tokenized.”
Consider an investment fund whose shares are issued directly on blockchain. Compare it with a traditional fund whose existing shares are represented by tokens through an additional digital layer.
Both may reasonably be described as tokenized.
But they are not necessarily equivalent from a measurement perspective.
The distinction becomes even more important when a token represents an asset that continues to exist in another system of record. McKinsey notes that tokenized assets can maintain both physical or traditional records and digital representations, requiring synchronization and ongoing servicing.
Researchers therefore need to determine whether they are measuring:
native on-chain assets, where issuance and ownership records are fundamentally integrated with distributed ledger infrastructure;
digitally represented traditional assets, where blockchain provides an additional representation of an asset recorded elsewhere;
or both.
Without this distinction, market totals can combine instruments with very different technological, legal, and operational structures.
Stablecoins Can Change the Number Dramatically
Few classification decisions affect digital-asset market measurements as much as stablecoins.
Stablecoins represent value linked to assets outside the blockchain environment, commonly fiat currencies and reserve assets. In a broad sense, they can therefore be considered representations of real-world value.
But they also perform a different economic function from tokenized securities, private credit, real estate interests, or investment funds.
For this reason, many RWA analyses exclude them.
McKinsey explicitly excludes stablecoins from its approximately $2 trillion 2030 base-case estimate, partly to avoid double counting because tokenized cash can function as the payment leg for transactions involving other tokenized assets.
This methodological choice matters.
If stablecoins are included in one RWA estimate and excluded from another, the resulting totals should not be presented as directly comparable measures of the same market.
The same problem can arise with tokenized deposits, central bank digital currencies, repurchase agreements, and other forms of digital money or short-term financial infrastructure.
Outstanding Value Is Only One Measure of Market Development
Market capitalization, or outstanding tokenized value, is probably the most common RWA metric.
It is useful, but incomplete.
Imagine two tokenization markets.
Market A has $10 billion of assets represented on-chain but very little new issuance or transaction activity.
Market B has $5 billion outstanding but originates billions of dollars of new tokenized instruments annually, supports multiple issuers, and has growing participation from financial institutions.
Which market is more developed?
The answer depends on what is being measured.
This is why evaluating tokenization through one headline figure can obscure more than it reveals.
A more complete framework should consider several dimensions simultaneously.
1. Outstanding Tokenized Value
The first metric is the total value of tokenized assets currently outstanding.
This provides a snapshot of the economic value represented through tokenized structures at a particular point in time.
It can be useful for comparing asset classes, jurisdictions, platforms, and historical growth.
But the measurement needs clear rules.
Does the calculation use face value, net asset value, market value, or the value of the underlying collateral?
If a $100 million asset is represented by tokens covering only 20 percent of its economic ownership, should the market count $20 million or $100 million?
If the same asset is represented across multiple systems, how is double counting prevented?
These are methodological questions, not merely technical ones.
2. Primary Issuance and Capital Formation
Outstanding value tells us what exists.
Primary issuance tells us what is being created.
Tracking the value of newly issued tokenized assets over a defined period can provide insight into whether tokenization infrastructure is attracting new capital formation.
Useful measurements can include annual issuance value, number of new offerings, average issuance size, number of repeat issuers, and the proportion of issuance originating locally rather than representing assets created elsewhere.
This distinction becomes particularly important when evaluating emerging markets.
A jurisdiction could have substantial exposure to tokenized foreign assets while producing relatively little domestic tokenized issuance.
That would indicate adoption of tokenized products, but not necessarily the development of a local tokenization industry.
3. Number of Issuers and Programs
Counting tokens can be misleading.
A single underlying asset can potentially generate multiple tokens, classes, wallets, transactions, or smart contracts.
Instead, researchers may obtain more useful information by tracking economically distinct issuers, programs, offerings, or underlying assets.
For example, 10,000 token contracts would not necessarily indicate a more developed market than 100 institutional issuance programs.
The appropriate unit of measurement depends on the question being asked.
If the goal is to measure capital-market development, economically meaningful issuance programs may provide more insight than the raw number of tokens created.
4. Asset-Class Composition
The composition of the market can be as important as its total size.
Tokenized government securities may scale differently from private credit. Real estate tokenization faces different legal and operational challenges from tokenized investment funds. Commodities require different custody and verification infrastructure from financial securities.
A credible RWA market analysis should therefore separate major asset categories rather than treating the entire market as homogeneous.
Possible categories include:
- Government debt and Treasury products
- Corporate debt
- Private credit
- Investment and money market funds
- Private equity and venture capital interests
- Real estate
- Commodities
- Infrastructure
- Receivables and trade finance
- Other legally backed real-world assets
This allows researchers to distinguish broad market growth from growth concentrated in a small number of asset classes.
That distinction matters because tokenization adoption is unlikely to occur uniformly.
McKinsey's research, for example, expects adoption to occur in waves, with mutual funds, bonds, loans, securitization, and other relatively feasible financial instruments progressing differently from less mature categories.
5. Transaction and Settlement Activity
An asset can exist on-chain without changing hands very often.
Therefore, outstanding value should be considered separately from transaction activity.
Researchers can examine transfer volume, settlement value, transaction frequency, active participants, and other indicators of actual network usage.
But even transaction volume requires careful interpretation.
The same asset can be transferred repeatedly, producing transaction volume far larger than its outstanding value. Internal transfers, collateral movements, market-making activity, redemptions, and technical wallet movements can also inflate raw blockchain transaction counts without representing new investment.
Transaction volume is not market capitalization, and market capitalization is not transaction volume.
Both describe different aspects of the ecosystem.
6. Secondary-Market Activity and Liquidity
This distinction becomes even more important when measuring liquidity.
One of the most persistent assumptions surrounding tokenization is that fractionalization automatically produces liquid markets.
It does not.
An asset can be divided into thousands of digital units and still have few buyers, limited price discovery, restricted transfers, or no meaningful secondary market.
Researchers attempting to measure liquidity therefore need more than the number of tokens or wallet transfers.
Relevant indicators may include secondary trading volume, transaction frequency, number of eligible buyers and sellers, bid-ask spreads where observable, turnover ratios, available trading venues, settlement infrastructure, and the regulatory ability of investors to transfer the asset.
This produces an essential distinction:
Fractionalization measures divisibility. Transferability measures whether an asset can move. Liquidity measures whether it can be bought or sold under actual market conditions.
They should not be treated as interchangeable.
7. Investor and Holder Participation
Another useful measurement concerns who actually holds tokenized assets.
Wallet counts alone can be unreliable. A single institution may control many wallets, while a custodian may hold assets on behalf of many underlying investors through one structure.
Nevertheless, when combined with other information, participation metrics can help answer important questions.
Is adoption primarily institutional?
Are retail or accredited investors participating?
How concentrated is ownership?
Are investors domestic or cross-border?
Are holders maintaining positions or actively transacting?
Market size describes capital. Participation data begins to describe the market around that capital.
8. Legal and Regulatory Recognition
Technical issuance is not necessarily equivalent to regulated financial issuance.
A token can be created in minutes. Establishing a legally recognized instrument may require substantially more work.
For that reason, measurement frameworks should distinguish between experiments, proofs of concept, unregulated representations, sandbox projects, and instruments issued under established legal or regulatory frameworks.
This becomes particularly important when comparing jurisdictions.
A country with dozens of experimental tokenization projects is not necessarily equivalent to a country with fewer but fully operational regulated issuances.
The number of projects alone does not capture the difference.
9. Custody, Servicing, and Operational Infrastructure
The development of an RWA market also depends on infrastructure that may not appear in market-capitalization statistics.
Tokenized assets still require custody, cybersecurity, investor onboarding, administration, reporting, valuation, asset servicing, compliance, and mechanisms connecting off-chain events with on-chain records.
McKinsey describes tokenization as a process extending beyond issuance to distribution, trading, servicing, and data reconciliation.
Measuring the maturity of tokenization therefore requires asking whether the supporting infrastructure exists, not simply whether tokens have been minted.
Institutional custody providers, regulated intermediaries, compliant marketplaces, KYC/AML systems, payment rails, asset servicers, auditors, and data providers can all be indicators of ecosystem maturity.
10. Geographic Origin Versus Geographic Distribution
Tokenization creates another measurement challenge: geography.
Where does a tokenized asset belong?
The underlying property might be in Colombia. The issuing entity could be incorporated in El Salvador. The blockchain infrastructure could operate globally. The custodian might be based in the United States. Investors could participate from several jurisdictions.
Simply assigning the entire value to one country can therefore oversimplify the transaction.
A more sophisticated framework can distinguish between:
asset location — where the underlying asset or economic activity exists;
issuer jurisdiction — where the issuing entity or vehicle is legally established;
issuance jurisdiction — which regulatory framework governs the offering;
infrastructure location — where relevant service providers operate;
and investor distribution — where the capital originates.
This becomes particularly important when measuring regional markets such as Latin America.
Why Forecasts Can Differ by Trillions of Dollars
Once these methodological differences are understood, apparently contradictory forecasts become easier to interpret.
McKinsey's 2024 base case estimated approximately $2 trillion in tokenized market capitalization by 2030, excluding cryptocurrencies and stablecoins. Its methodology focused on specific financial asset classes and modeled adoption in waves.
BCG's 2026 asset-management analysis presents a much larger middle scenario of $14 trillion by 2030 and $55 trillion by 2035, while its stated methodology for that estimate excludes real estate and tokenized money/stablecoins and incorporates a broader projected expansion across financial asset categories.
These numbers should not simply be placed side by side and interpreted as competing measurements of an identical universe.
They are forecasts built from different assumptions.
Forecasts can vary because researchers make different decisions about eligible asset classes, adoption rates, geographic scope, valuation methodology, stablecoins, deposits, underlying versus represented value, and what constitutes meaningful tokenization.
The lesson is not that market forecasts are useless.
It is that the methodology is part of the forecast.
A Better RWA Market Measurement Framework
Rather than asking only, “How big is the tokenized RWA market?”, a more useful market dashboard could track several indicators simultaneously:
Measurement
What It Tells Us
Outstanding tokenized value
Economic value currently represented
Annual primary issuance
New tokenized capital formation
Number of issuers/programs
Breadth of market participation
Asset-class distribution
Where adoption is occurring
Transaction/settlement volume
How actively infrastructure is being used
Secondary-market turnover
Degree of actual market activity
Investor participation
Breadth and concentration of holders
Regulated issuance
Degree of legal and institutional development
Custody and servicing infrastructure
Operational maturity
Geographic origin
Where tokenization activity is actually being created
No individual metric provides a complete picture.
Together, however, they can distinguish between assets that have been tokenized, capital being raised through tokenized structures, infrastructure being actively used, and markets developing around those assets.
The Same Discipline Matters Even More in Latin America
Measurement becomes particularly difficult in emerging tokenization markets.
Latin America illustrates the problem.
Different jurisdictions are developing tokenization through different regulatory structures, financial systems, asset classes, and stages of institutional adoption. Some activity may appear through securities issuance records. Other activity may emerge through sandboxes, regulated digital-asset frameworks, private transactions, or blockchain infrastructure that is not captured by a regional database.
Crypto adoption statistics introduce another complication.
High cryptocurrency transaction volume can demonstrate familiarity with digital-asset infrastructure, exchanges, wallets, stablecoins, and blockchain-based payment rails.
But crypto transaction volume is not RWA market size.
A country can have substantial cryptocurrency adoption while maintaining relatively limited regulated tokenized-asset issuance.
Conversely, a jurisdiction could develop meaningful institutional tokenization infrastructure without ranking among the largest retail cryptocurrency markets.
These indicators should therefore be analyzed separately.
Measurement Should Follow the Asset Lifecycle
There is another way to approach the problem.
Instead of beginning with market capitalization, begin with the lifecycle of the asset.
How much capital is being originated?
How many assets are being legally structured?
How much is being issued?
How much remains outstanding?
Who holds it?
How often does it transfer?
Where does it trade?
How is it serviced?
How does payment settle?
How much ultimately reaches maturity, redemption, or exit?
This lifecycle approach connects market measurement to what tokenization actually is: not simply the creation of a token, but an infrastructure for representing, administering, transferring, and settling rights associated with assets.
It also helps prevent a common analytical mistake, measuring what is easiest to observe on-chain while overlooking what is economically important off-chain.
From Bigger Numbers to Better Numbers
The tokenized RWA industry does not necessarily need a larger headline number.
It needs better measurement.
As the market develops, more standardized reporting could make it easier to compare jurisdictions, asset classes, issuance structures, and platforms. Regulators, issuers, custodians, marketplaces, data providers, and blockchain analytics companies may all contribute pieces of that information.
But until standardized definitions and reporting practices emerge, market-size estimates should be interpreted with care.
Whenever a headline says the RWA market is worth a certain number, or will reach a particular figure by 2030, the next questions should be:
What assets are included?
What is excluded?
Is the number measuring outstanding value, issuance, or transaction volume?
Are stablecoins included?
Are the assets natively issued on-chain or digitally represented?
Is underlying asset value being confused with tokenized economic interest?
Are the instruments regulated and legally recognized?
Is the figure global, regional, or based on a subset of observable platforms?
And is it measuring token creation, or functioning market activity?
Those questions may be less dramatic than a trillion-dollar forecast.
But they provide a much clearer picture of where tokenization actually stands.
Conclusion
The development of tokenized real-world assets cannot be understood through one number alone.
Outstanding value matters. So do primary issuance, asset composition, investor participation, transaction activity, secondary markets, custody, servicing, regulation, and settlement infrastructure.
As tokenization moves from experimentation toward broader financial-market integration, measurement will need to mature alongside the technology.
The most informative question is therefore no longer simply:
“How big is the RWA market?”
It is:
“What exactly are we measuring, and what does that measurement tell us about the development of the market?”
Going beyond the headline number is not about making the tokenization story smaller.
It is about measuring it more accurately.
https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-tokenization