Executive Summary
The forecasts for the 2030 real-world asset (RWA) tokenization market do not agree with each other, and the disagreement is instructive. McKinsey’s base case sits near $2 trillion. Citi projects $5.5 trillion. BCG, with ADDX, put the figure at $16.1 trillion. Standard Chartered sees $30.1 trillion, though by 2034. Today’s actual on-chain RWA value, excluding stablecoins, is roughly $37 billion. That is an 8x spread among credible institutions and a gap of more than 50x between the most conservative 2030 forecast and current reality. Executives should not read these numbers as predictions to pick from. Each one is a bet on how fast three bottlenecks clear: regulatory clarity, secondary-market liquidity, and diversification beyond tokenized Treasuries. The spread is a map of the open questions, and it tells issuers what to build now.
Key Takeaways
- The 2030 RWA market-size forecasts range from McKinsey’s roughly $2 trillion base case to BCG’s $16.1 trillion, an 8x spread that reflects genuine disagreement about how fast tokenization scales.
- Today’s actual on-chain RWA value, excluding stablecoins, is approximately $37 billion according to RWA.xyz, meaning even the most conservative 2030 forecast implies a 50x-plus increase.
- Roughly 80% of current on-chain RWA value sits in a single asset class, tokenized US Treasuries and cash equivalents, so the composite growth figure is highly sensitive to interest rates rather than broad adoption.
- Every trillion-dollar forecast is conditional: it assumes regulatory clarity arrives, secondary liquidity develops, and illiquid classes like real estate and private equity move on-chain at scale.
- For issuers, the correct response is not to predict the number but to be structurally ready under any scenario, which is a compliance, cap-table, and lifecycle-infrastructure problem, not a blockchain problem.
Introduction
Every RWA conference cites a trillion-dollar 2030 number. Almost no one cites the same one. That inconsistency is not a flaw in the research. It is the most honest signal the market produces.
When McKinsey says roughly $2 trillion and BCG says $16 trillion, both cannot be describing the same future with the same confidence. They are describing different assumptions about how quickly the plumbing of global finance gets rebuilt. The number each firm lands on is downstream of those assumptions.
For an executive deciding whether to tokenize assets, position a fund on-chain, or wait, the temptation is to grab the biggest number and act, or the smallest and dismiss the whole category. Both are mistakes. The useful exercise is to understand what would have to be true for each forecast to hold, then decide where the balance of evidence sits. That is the work this edition does. At Stobox, which has built tokenization infrastructure since 2018, the read is straightforward: the spread between forecasts matters more than any single point estimate, because it tells you which conditions to watch.
What is the actual RWA market size today?
The on-chain RWA market, excluding stablecoins, is approximately $37 billion as of mid-2026. That is the base every 2030 forecast has to grow from.
RWA.xyz reports distributed asset value of $37.28 billion and total asset holders above 1.5 million as of August 2026. The trajectory over the prior year was steep. Tokenized RWAs surpassed $26.4 billion in on-chain value in early 2026, up from around $6.6 billion a year earlier, per RWA.xyz, and those calculations do not include stablecoins. By mid-year the figure had moved higher again. On-chain real-world assets hit $33.5 billion in liquid tokenized value in mid-2026, nearly tripling from around $11.8 billion at the same point in 2025.
The growth is real. The composition is the catch. US Treasury and cash-equivalent products represent roughly 80% of the total on-chain RWA value. That concentration has a specific consequence for anyone reading the growth rate as broad adoption. If the Federal Reserve cuts rates aggressively, the yield advantage that makes tokenized Treasuries compelling collapses, and the sector’s headline growth number is artificially sensitive to interest-rate-driven demand for a single product type rather than a genuine broadening of tokenizable asset classes.
In other words, today’s $37 billion is not a small version of the diversified 2030 market. It is mostly one trade. Every forecast that reaches trillions assumes the market stops being one trade.
What do the 2030 RWA market-size projections actually say?
The projections cluster into three camps: conservative (McKinsey), midrange (Citi), and bullish (BCG, Standard Chartered). The differences trace directly to what each firm counts and how fast it assumes bottlenecks clear.
Here is the landscape, with each figure tied to its source and its base year.
| Source | 2030 figure | Notes |
|---|---|---|
| McKinsey (base case) | ~$2 trillion | Range of $1T–$4T; excludes stablecoins, deposits, CBDCs |
| Citi Institute (base case) | $5.5 trillion | Bear case $2.7T, bull case $8.2T |
| BCG with ADDX | $16.1 trillion | Described as conservative methodology; best case $68T |
| Standard Chartered with Synpulse | $30.1 trillion | Target year 2034, not 2030 |
McKinsey is the anchor of caution. In its base case, the firm estimated the tokenized asset market to reach nearly $2 trillion by 2030, notably excluding tokenized deposits, stablecoins and central bank digital currencies. Its own language was pointed. “Broad adoption of tokenization is still far away,” the authors said, noting the number could be as low as $1 trillion. Even the optimistic case is measured. McKinsey’s $4 trillion bullish scenario would be supported by more accommodating regulations and industry-wide collaboration without any systemic events hindering adoption.
Citi occupies the middle. Citi Institute projects the market to reach $5.5 trillion by 2030 in a base case, with a bear case of $2.7 trillion and a bull case of $8.2 trillion. Crucially, Citi is explicit about where growth comes from. Growth is expected to be led by public market securities, particularly US equities and treasuries, rather than private markets, where adoption remains early-stage and structurally constrained. Citi’s base case rests on concrete assumptions. It assumes 10% of the US Treasury bill market and 3% of the US public stock market are tokenized by 2030, with a $1.9 trillion stablecoin float and a retail rotation pulling roughly $2.6 trillion into tokenized equities.
BCG sits at the bullish end of the 2030 forecasts. With a 50-fold increase predicted between 2022 and 2030, from $310 billion to $16.1 trillion, tokenized assets were expected to make up 10% of global GDP by the end of the decade. The methodology matters here. The BCG figure assumes that 10% of global GDP will be tokenized on blockchain networks by the end of the decade, aggregating highly illiquid assets such as private equity and real estate with highly liquid instruments like public equities and government bonds. BCG framed it as cautious and offered a far higher ceiling. The report projects that even using a conservative methodology, asset tokenization would be a $16.1 trillion opportunity by 2030, and in a best-case scenario that estimate goes up to $68 trillion.
Standard Chartered is the most bullish, but note the calendar. Standard Chartered and Synpulse predicted that demand for overall tokenized assets could reach $30.1 trillion by 2034, with trade finance among the top three tokenized asset classes. That is a ten-year horizon, not a 2030 one, and it leans heavily on a single thesis: trade finance. They estimate trade finance will make up 16%, or $4.8 trillion, of the total.
Then there are the practitioner predictions, which are directional rather than modeled. Robert Leshner, the Compound founder now running Superstate, offered one of the most-cited. In a Bankless appearance, he ended the episode with a prediction of 10 trillion real-world assets on chain by the end of the decade. Read it as a builder’s conviction, not a research model. The framing behind it is far larger: Leshner sees $700 trillion as the real prize, including stocks, bonds, real estate, and private credit currently sitting in spreadsheets, paper contracts, and DTC databases.
Why is there such a wide gap between the forecasts?
The gap exists because the forecasts price different answers to the same three questions: how fast does regulation clarify, how deep does secondary liquidity get, and how far does tokenization spread beyond Treasuries. The spread is the disagreement made numeric.
One analysis of the models put the mechanism plainly. The gap exists because current adoption is limited by fragmented regulatory frameworks and a lack of secondary-market liquidity, and trillion-dollar projections assume these bottlenecks will be resolved, allowing massive illiquid asset classes like real estate and private markets to move on-chain. The historical caution is worth internalizing. The models published by BCG, McKinsey, and Citi rely on assumptions about regulatory velocity and infrastructure deployment that historically outpace the reality of global financial markets.
McKinsey’s reasoning is instructive precisely because it is deflationary. The firm pointed out that in the first five years of inception, financial innovations such as credit cards and ETFs showed annual growth rates of around 100%, then growth slowed to 50% before declining further. Apply an S-curve rather than a straight line, and you land near $2 trillion, not $16 trillion. Apply a step-change from regulatory clarity, and you land higher.
There is also a definitional gap that inflates the apparent disagreement. BCG counts a broad universe including illiquid private assets. McKinsey excludes stablecoins, deposits, and CBDCs. Citi includes a large stablecoin float in its stack. Some of the 8x spread is not disagreement about the future at all. It is disagreement about what to count.
The 5 Conditions Framework: what would have to be true
The honest way to use these forecasts is not to pick one. It is to track the conditions each requires, then let reality tell you which scenario is unfolding. Here is the framework, mapped to the transformation path Stobox uses to prepare issuers: intelligence, digital transformation, legal preparation, capital strategy, and tokenization.
| Condition | What it requires | Which forecast it unlocks |
|---|---|---|
| 1. Regulatory clarity | Token taxonomy, securities treatment, cross-border recognition | Moves McKinsey toward its $4T bull case; enables Citi’s base |
| 2. Secondary liquidity | Real trading, not just issuance, across regulated venues | Required for Citi’s $5.5T and any figure above it |
| 3. Diversification beyond Treasuries | Private credit, funds, equities, real estate scaling on-chain | Necessary for BCG’s $16T |
| 4. Institutional plumbing | DTCC, exchanges, and custodians integrating tokenized rails | Underpins all midrange-and-above scenarios |
| 5. Trade-finance and illiquid unlock | Structurally hard classes coming on-chain at scale | Required for Standard Chartered’s $30T |
The near-term evidence is mixed but moving. On the plumbing condition, the direction is real. The first quarter of 2026 brought infrastructure-level commitments from institutions that run global capital markets, with Nasdaq, the NYSE, and the DTCC all moving toward integrating tokenized securities into the existing architecture of regulated markets. On diversification, the caution remains: with 80% of value in one class, conditions 2 and 3 are the gates that separate a Citi-style outcome from a BCG-style one.
A note on the honest read. The more relevant question is not whether tokenization reaches $16 trillion by 2030, but whether it reaches a highly functional $100 billion to $500 billion. That range is the difference between a niche and an asset class, and it is achievable without any heroic assumptions.
Definition
Real World Asset tokenization is the process of representing ownership rights of physical or financial assets, such as bonds, funds, private equity, or real estate, as blockchain-based digital securities. The asset itself does not change. What changes is that ownership, transfer, and settlement move into a programmable on-chain format governed by compliance rules embedded at the token level.
RWA market size refers to the total value of such tokenized assets recorded on-chain at a given point in time. Definitions vary: some measures include stablecoins and cash equivalents, others exclude them, which is a primary reason 2030 forecasts diverge so widely.
How to act on this
The spread between forecasts is not a reason to wait. It is a reason to build in a way that pays off under any scenario. Here is what that means by reader type.
For CEOs and founders: Do not anchor strategy to a single 2030 number. Anchor it to the conditions. If your business depends on tokenized capital markets being large, watch regulatory clarity and secondary liquidity, not headline forecasts. The companies that benefit first are those that are already structured, compliant, and investor-ready when a condition clears. That readiness is a data and governance problem before it is a blockchain one. Explore what tokenization-readiness actually requires.
For asset owners: The lesson of the 80% Treasury concentration is that being early in an underserved class, private credit, funds, real estate, is where differentiated positioning exists. But early does not mean unstructured. Professional tokenization requires asset structuring, a legal framework, compliance architecture, investor onboarding, and lifecycle management. This is where Stobox Compass operates as the tokenization infrastructure layer for compliant digital securities, issuing primarily on Base and also Arbitrum and Canton. The token is the last step, not the first.
For investors: Treat any single 2030 projection as a marketing artifact until you can see the assumptions. Ask which asset classes a forecast counts, whether it includes stablecoins, and what regulatory velocity it prices in. The credible signal is issuance moving into diversified classes with real secondary liquidity, not the size of the number in the deck. Start with primary data on RWA.xyz and read the assumptions in the Citi Tokenization 2030 report. For deeper background, the Stobox learn hub covers the compliance and structuring layer that every forecast quietly assumes.
The through-line for all three: the forecasts describe an outcome. Infrastructure decides whether you participate in it.
FAQ
What is the RWA market size in 2026? The on-chain RWA market, excluding stablecoins, is approximately $37 billion as of mid-2026 according to RWA.xyz. Including stablecoins adds close to $300 billion in tokenized dollar value. Roughly 80% of the non-stablecoin total sits in tokenized US Treasuries and cash equivalents.
What is the RWA market size projected to be in 2030? Forecasts range widely. McKinsey’s base case is around $2 trillion, Citi projects $5.5 trillion, and BCG with ADDX projected $16.1 trillion. Standard Chartered projects $30.1 trillion, but by 2034 rather than 2030. The spread reflects different assumptions and different definitions of what counts.
Why do the 2030 tokenization forecasts differ so much? Three reasons: differing assumptions about how fast regulation clarifies and liquidity develops, differing views on whether illiquid classes like real estate move on-chain, and differing definitions of what to include. McKinsey excludes stablecoins and deposits; BCG counts a far broader asset universe. Some of the apparent gap is definitional rather than a real disagreement about the future.
Is the BCG $16 trillion figure realistic? BCG described it as conservative and offered a $68 trillion best case. However, it assumes 10% of global GDP is tokenized by 2030 and aggregates highly illiquid private assets with liquid public ones. Given that today’s on-chain figure is around $37 billion and heavily concentrated in Treasuries, reaching $16 trillion would require the illiquid classes to scale far faster than they have so far.
What did Robert Leshner predict for on-chain RWA? The Compound founder and Superstate CEO predicted roughly $10 trillion of real-world assets on-chain by the end of the decade. It is a builder’s directional conviction rather than a modeled forecast. His broader framing puts the total addressable market at $700 trillion of traditional finance assets.
Which forecast is most credible? No single forecast is definitively correct. The more useful approach is to track the conditions each requires: regulatory clarity, secondary liquidity, and diversification beyond Treasuries. A functional market in the hundreds of billions is achievable without heroic assumptions; the trillion-dollar outcomes depend on bottlenecks clearing that have historically moved slower than forecasters expect.
Does the RWA market size include stablecoins? It depends on the source. RWA.xyz reports RWAs excluding stablecoins as its headline non-stablecoin figure, then shows stablecoins separately. McKinsey explicitly excludes stablecoins, deposits, and CBDCs. Citi includes a large stablecoin float in its projection stack. Always check the definition before comparing two numbers.
Why is US Treasury concentration a risk for the growth narrative? Because roughly 80% of on-chain RWA value sits in tokenized Treasuries and cash equivalents, the headline growth rate is highly sensitive to interest rates rather than broad adoption. If rates fall sharply, the yield advantage that drives demand for tokenized Treasuries weakens, which could pressure the composite figure. Genuine, durable growth requires diversification into other asset classes.
Can companies position ahead of the 2030 forecasts? Yes, but the advantage comes from structural readiness, not from predicting the number. Companies that are already compliant, well-structured, and investor-ready can move quickly when a condition such as regulatory clarity clears. Professional tokenization requires legal structuring, compliance architecture, investor infrastructure, and lifecycle management, which is the layer Stobox Compass provides for issuers.
What is the single most important thing to watch? Whether tokenization broadens beyond Treasuries into private credit, funds, equities, and real estate with real secondary-market liquidity. That transition, more than any forecast, will determine which 2030 scenario the market actually delivers.
