By Julia IV
Analysis as of October 13, 2026
The most revealing question about institutional tokenization is becoming a commercial one: who gets to send the invoice?
An asset manager can charge for managing a portfolio. A bank can charge for custody and payments. A technology provider can charge for issuing and servicing tokens. A trading venue can earn transaction revenue. Each can participate in the same tokenized product, and each can describe itself as a beneficiary of the market’s growth.
That does not mean each will build an equally profitable business.
My base case for 2027–2030 is that tokenization will expand through alliances between established financial institutions and specialist technology companies. Revenue will increasingly depend on controlling client access, integrating essential services, and becoming part of a customer’s daily operations. Creating a token will become a less distinctive capability.
This forecast assumes continued institutional deployment without a prolonged regulatory reversal or a major failure that freezes adoption. It is a forecast about industry structure, not a price target for crypto assets.
What the 2026 launches actually tell us
Three developments help explain the direction of travel.
In August, BlackRock launched tokenized share classes for selected European money market funds using J.P. Morgan’s Kinexys platform. Existing investment products acquired a new means of access and administration. This was not the creation of an entirely separate asset-management industry.
In July, BNY announced digital transfer-agency capabilities extending its fund-servicing business into digitally native products. Its position illustrates how an established intermediary can use tokenization to expand the services it sells.
In September, Nasdaq announced an agreement to invest $100 million in Payward, Kraken’s parent, alongside continued work on tokenized equities and a market-surveillance agreement. The investment agreement and development work are evidence of strategic commitment; they should not be confused with completed deployment of the planned equity-token framework.
Together, these events suggest a market developing through combinations of capabilities. Established firms bring clients, operating experience, and institutional relationships. Technology partners bring implementation expertise and access to digital-asset users.
The forecast that follows is an inference from that pattern: the strongest competitors may be coordinated groups of companies, rather than single platforms attempting to replace the financial system.
2027: commercial conversion becomes the test
The next twelve to eighteen months should expose the distance between launching a product and building a business.
A launch proves that a provider can make a service available. Commercial conversion requires clients to allocate operating budgets, complete integrations, train staff, and use it repeatedly. That process can be slower than the announcement cycle suggests.
My expectation is that vendors will face more demanding questions about implementation time, support requirements, and measurable operational benefits. A demonstration that impresses an innovation team must eventually satisfy the people responsible for treasury, technology, finance, and risk.
This favors use cases with a clearly identifiable buyer inside the institution.
A service that reduces manual reconciliation has an operations team that can evaluate it. A service that improves collateral movement has a financing or treasury team that can measure its usefulness. A broadly described promise to “bring assets onchain” has a less obvious budget owner.
The leading indicator will be repeat business: additional funds from the same manager, additional workflows from the same bank, and more client activity after the first integration. A succession of unrelated pilots would be a weaker signal.
The first profit pool may sit in the transition
Tokenization is often sold as a way to simplify financial operations. Implementing it can initially make those operations more complex.
Institutions may run existing systems and blockchain infrastructure together. That introduces integration work, new controls, security reviews, staff training, and additional service providers before older processes can be retired.
This creates a plausible divergence between adoption and savings. Technology spending can rise while the promised reduction in total operating expense remains ahead.
For suppliers, the transition itself can generate business. Integration firms, custody providers, security specialists, and compliance vendors may earn revenue even when the institution has not yet lowered its overall costs.
For their customers, however, maintaining two systems indefinitely would weaken the investment case.
The decisive milestone is therefore the retirement of an old process. When a firm can remove a duplicate reconciliation task or stop maintaining a redundant workflow, tokenization begins to produce a more persuasive economic result.
My base case is uneven progress: selected processes become cheaper while overall transformation budgets stay elevated. Claims of dramatic transaction-level savings will remain less informative than evidence about the full cost of operating a live product.
Distribution could matter more than issuance
As tokenization tools become more widely available, the ability to issue a token should become less scarce. Access to customers with money to allocate will remain difficult to reproduce.
That distinction could shift bargaining power toward asset managers, banks, and platforms with established distribution.
An institution that already has a client relationship can introduce an additional product within it. A new entrant may need to acquire the client, establish credibility, and persuade the client to connect another system before earning meaningful revenue.
Specialist providers can still build strong businesses, particularly where they solve difficult technical problems or reach customers incumbents cannot easily serve. But a provider offering little beyond issuance may face pressure to lower fees.
One possible result is a quiet separation between market growth and vendor profitability. More assets can use tokenization while customers negotiate lower charges for the underlying technology.
The question for an infrastructure company is whether clients would struggle to replace its service. That difficulty might come from deep integration, reliable operations, specialized expertise, or valuable distribution. A long list of supported blockchains is not necessarily enough.
The cash side could set the pace
An investment can be represented on a blockchain while the surrounding payment process still depends on another institution’s timetable.
For adoption to become routine, asset movement must work with cash movement, funding, accounting, and operational controls. Institutions need the complete transaction to function reliably.
This makes the cash side a likely competitive battleground.
Stablecoins, tokenized deposits, and conventional payment connections may each play roles, depending on the customer and transaction. I do not expect a single form of digital money to satisfy every institutional requirement over this forecast period.
Instead, providers capable of coordinating several payment methods may become more useful to clients. Their advantage would come from making the overall process dependable, including exceptions and failed transactions.
The bullish signal would be recurring transactions in which the investment and payment processes work together beyond conventional operating windows. The weaker outcome would be extended transfer hours surrounded by manual funding and next-day administrative work.
The difference matters because clients pay for a completed business process, not simply an available network.
Faster settlement will need an economic justification
Shortening settlement sounds like an obvious improvement. Its commercial value depends on the funding arrangements around it.
Faster exchange of assets and cash can reduce some exposures and operational delays. But if a particular design requires participants to prefund each transaction, it can also tie up money that could otherwise be used elsewhere. Immediate gross settlement and systems that offset obligations before settlement solve different problems.
This creates a reason to expect several settlement models to coexist.
Some workflows may benefit from immediate completion. Others may preserve netting or use intraday settlement windows to balance speed with funding efficiency. The winning service will need to demonstrate an improvement in the customer’s total economics.
A useful forecast test is whether providers report reductions in funding needs, operational exceptions, or transaction failures alongside faster processing. Speed alone is an incomplete measure.
2028–2030: consolidation becomes plausible
If issuance becomes easier while institutional integration remains expensive, the market creates an incentive to consolidate.
A small provider may have strong technology but limited distribution. A larger financial institution may have customers but prefer to acquire implementation expertise. Other firms may choose partnerships, shared standards, or bundled commercial arrangements.
I expect some combination of acquisitions, deeper alliances, and provider exits during this period. This is a directional judgment, not a prediction of specific transactions.
The underlying pressure is straightforward: clients are unlikely to want a growing number of separate contracts and integrations for each new product. Providers that combine services coherently may become easier to buy from.
Public blockchain adoption could expand within this structure without producing a similarly decentralized commercial market. The network can be broadly accessible while a relatively small group of businesses controls major client relationships and servicing contracts.
That creates a potential tension for customers. Integration can reduce operational friction, but dependence on one provider can weaken negotiating power. The commercial importance of portability may rise as institutions commit more activity to their chosen systems.
What would change this forecast?
The base case favors established institutions and integrated service providers, but it is not inevitable.
I would revise it if independent platforms began attracting substantial recurring institutional activity without relying heavily on incumbent distribution. I would also reconsider the expected pace of consolidation if common standards made switching providers inexpensive and straightforward.
Evidence of widespread legacy-system retirement would strengthen the cost-saving case and could accelerate the forecast. Evidence that new infrastructure consistently adds expense without changing client behavior would weaken it.
The most useful measures are therefore commercial and operational: repeat use, implementation time, recurring revenue, total servicing cost, and the number of processes genuinely replaced.
By 2030, a successful tokenization service may attract less attention precisely because it has become routine. Clients will use it to complete familiar financial tasks, and providers will compete on reliability, price, and convenience.
The businesses best positioned to profit will be those that make themselves useful every day and can prove that usefulness when the client reviews the bill.