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Hidden Economics of Asset Tokenization: What It Actually Costs to Bring $100 Million in Assets…

Hidden Economics of Asset Tokenization: What It Actually Costs to Bring $100 Million in Assets On-Chain

Tokenizing $100 million in assets is a technical milestone. Making the infrastructure commercially viable is an entirely different challenge.

Imagine an investment firm preparing to tokenize $100 million in real estate, private credit, or other financial assets.

The business case looks promising. Blockchain-based ownership records could simplify transfers, fractional ownership could expand investor participation, and automated processes could reduce administrative work.

But the firm faces a question that rarely appears in tokenization market forecasts:

How much money must the business spend before its first token generates meaningful revenue?

The answer extends far beyond smart contract development.

Legal structuring, asset verification, investor onboarding, custody arrangements, compliance systems, and ongoing administration all contribute to the economics of tokenization.

And these costs do not necessarily decline simply because assets are represented digitally.

According to McKinsey’s research on tokenized financial assets, the market could reach approximately $2 trillion by 2030, excluding cryptocurrencies and stablecoins. Its optimistic scenario approaches $4 trillion.

Yet the same research highlights an important obstacle: implementing tokenization infrastructure can require substantial investment before the anticipated efficiencies become commercially meaningful.

For businesses entering this market, the central question is no longer whether assets can be tokenized.

It is whether the financial benefits justify the infrastructure required to tokenize them.

$100 Million in Tokenized Assets Is Not $100 Million in Revenue

One of the most important distinctions in tokenization economics is the difference between asset value and business income.

Consider a platform that successfully issues digital tokens representing $100 million in underlying assets.

That figure might represent assets issued, assets administered, or assets currently held through the platform.

It does not represent revenue earned by the platform operator.

Revenue depends on the commercial arrangement.

A platform might charge asset issuers for token creation, collect recurring administration fees, license infrastructure to institutions, or earn transaction fees where legally permitted.

For example, a hypothetical 0.50% annual administration fee on $100 million in fee-bearing assets would generate $500,000 in gross annual revenue.

That sounds attractive until the operating costs enter the calculation.

The platform may still need to pay for regulatory compliance, custody services, infrastructure maintenance, security assessments, investor support, and asset servicing.

Moreover, a platform might tokenize $100 million over several years without ever maintaining $100 million in active fee-bearing assets.

Tokenized asset value measures the scale of assets represented. Revenue measures the commercial value the platform captures.

Confusing the two can lead businesses to overestimate their potential returns before development begins.

The Six Expenses Behind a $100 Million Tokenization Project

To understand the economics, consider a hypothetical financial services company launching a custom platform to support $100 million in tokenized assets.

Assume the company already has access to suitable assets and intends to serve professional or otherwise eligible investors.

The following model illustrates one possible initial budget.

The important observation is not the $500,000 total.

It is how the money is distributed.

1. Platform Development: $180,000

A production-ready tokenization platform requires more than a mechanism for creating blockchain tokens.

Depending on the business model, it may need investor dashboards, asset issuance workflows, ownership records, subscription management, payment integrations, reporting tools, and administrative controls.

For companies evaluating Asset Tokenization Platform Development, the critical budgeting decision is determining which capabilities must be developed internally and which can be integrated through existing infrastructure providers.

Custom development offers greater control over workflows and future functionality, but it also creates ongoing maintenance responsibilities.

A lower initial software budget is not necessarily cheaper if the platform later requires expensive architectural changes.

2. Legal Structuring and Regulatory Preparation: $120,000

Representing an asset on a blockchain does not automatically establish legally enforceable ownership.

The business must determine what the token represents.

Does it convey direct ownership, an interest in a legal entity, a debt claim, or contractual rights against an issuer?

Each structure can introduce different legal, disclosure, investor eligibility, and transfer requirements.

Depending on the jurisdiction and offering structure, businesses may need legal opinions, offering documentation, regulatory advice, entity formation, and agreements with regulated intermediaries.

Some structures may also require licenses or authorization before operations begin.

These obligations cannot be eliminated through software automation.

3. Smart Contract Development and Security Audits: $65,000

Smart contracts can automate token issuance, transfers, restrictions, and selected asset-related operations.

But automation introduces another category of financial risk.

A poorly designed contract could allow unauthorized transfers, incorrectly enforce ownership restrictions, or create vulnerabilities affecting investor assets.

Security testing and independent audits therefore deserve their own budget.

Audit costs also depend on the number of contracts, their complexity, the maturity of the underlying code, and the extent of remediation required.

Importantly, a completed audit does not guarantee that a system is free from vulnerabilities.

4. Asset Verification and Onboarding: $45,000

Before tokenization, the underlying asset must be verified.

For real estate, this may involve ownership documentation, title review, valuation, and property-related due diligence.

Private credit assets may require loan documentation, borrower information, collateral assessment, and servicing arrangements.

Tokenization does not remove the need to establish that an asset exists, belongs to the relevant party, and supports the rights being offered.

The blockchain records the digital representation.

It does not independently verify every claim made about the underlying asset.

5. Custody and Security Infrastructure: $40,000

Businesses must decide how digital assets and signing credentials will be controlled.

Possible arrangements include institutional custody providers, multisignature authorization systems, and multiparty computation infrastructure.

The appropriate approach depends on legal obligations, the operating model, and the parties responsible for safeguarding assets.

Integrating custody also introduces expenses related to access controls, transaction approvals, key recovery procedures, and operational monitoring.

6. Testing and Operational Readiness: $50,000

A tokenization platform can function successfully in a demonstration environment while remaining unprepared for real investors.

Production testing should examine investor onboarding, transaction failures, restricted transfers, corporate actions, reconciliation, reporting, and recovery procedures.

These workflows become especially important when blockchain records must remain consistent with legally authoritative off-chain records.

Launching the software is only one part of launching the business.

The Expense That Changes Everything: Running the Platform After Launch

Initial development expenditure receives considerable attention.

Recurring operational expenditure deserves just as much.

Consider an illustrative annual operating budget for the same platform.

Under these assumptions, the business would commit approximately $750,000 across its initial investment and first year of operations.

This excludes financing costs, taxes, asset acquisition costs, major unforeseen expenses, and other items that may apply to a particular business.

The first-year cash requirement could therefore be materially higher.

A company focusing exclusively on development costs may underestimate the capital needed to reach sustainable operations.

This problem is particularly significant when a platform must maintain both blockchain-based and conventional financial records.

In its analysis of tokenization adoption, McKinsey identifies the expense of operating traditional and digital processes simultaneously as a barrier to achieving near-term economic benefits.

Tokenization can create efficiency.

But during implementation, it can also temporarily increase operational complexity.

The Break-Even Calculation Most Tokenization Business Plans Need

Now consider the commercial consequences of the financial model.

The platform has:

  • $500,000 in initial investment.
  • $250,000 in annual operating expenses.
  • $100 million in fee-bearing assets.
  • A hypothetical 0.50% annual administration fee.

Its annual gross revenue would be:

$100 million × 0.50% = $500,000

After deducting $250,000 in annual operating expenses, the business would retain $250,000 before taxes, financing costs, and other excluded expenses.

If the full $100 million remains fee-bearing, all revenue is collected, and annual expenses remain constant, recovering the $500,000 initial investment would take approximately two years.

But consider what happens when the assumptions change.

Under this simplified model, the platform needs approximately $50 million in fee-bearing assets merely to cover its assumed annual operating expenses.

It must generate additional surplus to recover development costs.

And that calculation assumes every dollar of the relevant asset base generates the same fee.

In reality, fee discounts, onboarding delays, client departures, and changing asset values could materially affect revenue.

The financial viability of a tokenization platform depends less on how many tokens it can issue than on how consistently it can generate revenue from the assets and services it supports.

Where Tokenization Can Actually Produce Financial Savings

Tokenization is frequently associated with lower transaction costs and faster settlement.

Those benefits are possible, but they are not automatic.

The Bank for International Settlements’ 2025 Annual Economic Report explains how programmable financial infrastructure could combine activities such as messaging, reconciliation, and settlement.

The potential economic advantage comes from reducing duplicated processes and coordinating transactions more efficiently.

For businesses, three areas deserve particular attention.

Administrative automation: Automated ownership updates, distribution calculations, and transfer restrictions may reduce manual processing requirements.

Reconciliation efficiency: Shared transaction records may reduce the need for separate parties to repeatedly compare inconsistent information.

Settlement coordination: Where appropriate payment and asset infrastructure exists, programmable settlement arrangements may reduce delays and counterparty exposure.

However, businesses should measure these benefits against their existing processes.

If a company already operates an efficient, low-cost administrative system, replacing it with blockchain infrastructure may not immediately generate meaningful savings.

Likewise, faster on-chain transfers do not automatically resolve legal settlement requirements or eliminate traditional asset-servicing responsibilities.

The relevant metric is not the theoretical speed of the blockchain.

It is the reduction in the total cost of completing a legally valid financial transaction.

The $100 Million Question: Build, License, or Outsource?

Once the economic model is established, businesses face another decision.

Should they develop their own tokenization infrastructure, license an existing platform, or outsource selected operations?

Each approach changes the relationship between upfront expenditure, recurring costs, and operational control.

A company planning a limited issuance may find that custom infrastructure creates unnecessary financial exposure.

An institution expecting repeated issuances across several asset classes may place greater value on controlling its own technology and integrations.

For organizations evaluating an RWA Asset Tokenization Platform Development Company, the more useful comparison is therefore not simply development cost versus licensing cost.

It is the total cost of ownership over three to five years, including integration, compliance, maintenance, vendor charges, and the financial consequences of changing providers.

That calculation can reveal whether an initially inexpensive solution remains economical as the business expands.

What the Market Data Reveals — and What It Doesn’t

The tokenized asset market is growing, but aggregate market figures require careful interpretation.

As of October 11, 2026, RWA.xyz’s platform dashboard reported approximately $39.22 billion in distributed asset value and $357.50 billion in represented asset value.

These figures describe different categories of asset representation and should not be combined as though they measure the same thing.

They also do not reveal how much revenue tokenization infrastructure providers earn.

Nor do they establish that every tokenized asset has an active secondary market.

A tokenization platform can administer substantial asset value while generating relatively little transaction activity.

That matters because some business models depend on recurring administration fees, while others rely more heavily on issuance volume or trading-related revenue.

The same $100 million asset portfolio could therefore produce very different financial outcomes depending on how the platform earns money.

Businesses should evaluate market growth alongside customer demand, asset turnover, fee structures, and operating expenses.

Market size can demonstrate opportunity.

It cannot establish the profitability of an individual business.

Five Questions Worth Answering Before Committing Capital

The financial analysis leads to five questions that deserve answers before a tokenization project receives its development budget.

1. What specific cost or market limitation will tokenization solve?

A credible business case should identify measurable improvements rather than relying on blockchain adoption as an objective.

2. How much of the underlying asset value will actually generate revenue?

Total issued asset value and fee-bearing assets may differ substantially.

3. Which operational responsibilities will remain outside the blockchain?

Legal administration, custody, reporting, investor verification, and asset servicing may continue to require specialized providers.

4. What happens if adoption reaches only 25% of the original forecast?

A viable financial model should survive slower onboarding, lower issuance volumes, and higher operating expenses.

5. At what scale does the platform become economically sustainable?

This requires calculating the minimum revenue needed to cover recurring costs and eventually recover the initial investment.

These questions do not guarantee commercial success.

They help prevent a technically successful project from becoming an economically unsustainable one.

The Real Economics Begin After the First Token Is Issued

Bringing $100 million in assets on-chain can be an important technological achievement.

But it does not automatically create a profitable platform, eliminate traditional financial obligations, or produce liquid markets.

The financial outcome depends on how effectively the business converts its infrastructure investment into recurring revenue, operational savings, or measurable strategic advantages.

Under the illustrative model explored here, a $500,000 initial investment and $250,000 in annual operating expenses create a meaningful financial commitment before the platform achieves scale.

Different assumptions could produce dramatically different results.

That is precisely why tokenization projects should begin with financial modeling rather than technology selection.

The businesses most likely to benefit from tokenization will not necessarily be those that issue the greatest number of tokens. They will be those that understand the economics of issuing, managing, and servicing those tokens over time.

The most important question is not simply what it costs to put $100 million on-chain.

It is what the business must earn — or save — to make that investment worthwhile.

Turning Tokenization Economics Into Production-Ready Infrastructure

Understanding the economics of asset tokenization is only the first step. Translating those financial assumptions into a secure, scalable platform requires an architecture that supports the business model from issuance through ongoing asset administration.

Softean develops custom RWA asset tokenization platforms for businesses, asset managers, and financial institutions seeking to digitize real-world and financial assets. Our development capabilities span token issuance, investor onboarding, smart contract integration, compliance-enabled workflows, ownership management, custody connectivity, and asset administration.

Rather than approaching tokenization as a standalone blockchain implementation, we focus on building infrastructure around each client’s asset structure, operational requirements, and long-term platform objectives.

Whether a business is preparing its first tokenized offering or planning a multi-asset tokenization ecosystem, Softean helps translate its requirements into a practical development roadmap.

Planning an asset tokenization platform? Explore Softean’s development capabilities and discuss the infrastructure your business needs to bring tokenized assets to market.


Hidden Economics of Asset Tokenization: What It Actually Costs to Bring $100 Million in Assets… was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

Crypto Derivatives Are Now Bigger Than Spot Trading.

Crypto Derivatives Are Now Bigger Than Spot Trading. So Why Are Most Exchanges Still Built Like Spot Exchanges?

For years, the crypto exchange industry was built around a simple model.

List digital assets.

Match buyers and sellers.

Process trades.

Hold customer balances.

Add more trading pairs.

That model made sense when spot trading was the center of the market.

But the market has changed.

Crypto derivatives are no longer a side product sitting next to spot markets. They have become the dominant venue for trading activity, price discovery, leverage, and risk transfer.

According to Cboe, annual crypto derivatives notional volume reached roughly $111.5 trillion in 2025, compared with approximately $25.3 trillion in spot turnover — a derivatives-to-spot ratio of around 4.4 to 1.

More recent exchange data tells a similar story. In June 2026, derivatives represented 84.5% of the combined spot and derivatives trading volume tracked by CoinMarketCap, with roughly $5.44 in derivatives trading for every $1 in spot volume.

The numbers raise an uncomfortable question for exchange operators.

If derivatives have become the dominant layer of crypto trading, why are so many exchanges still designed around a spot-exchange mindset?

Because a derivatives exchange is not simply a spot exchange with leverage added on top.

It is a fundamentally different financial system.

A spot exchange mainly has to answer:

Can the buyer and seller execute the trade?

A derivatives exchange has to answer something much harder:

What happens if the market moves against thousands of leveraged traders at the same time?

That difference changes everything.

The Shift From Asset Trading to Risk Trading

Spot trading is relatively straightforward.

A trader buys Bitcoin.

Another trader sells Bitcoin.

The asset changes hands.

The exchange matches the transaction and manages settlement.

Derivatives introduce an entirely different layer.

Traders may not be buying an asset for immediate ownership.

They may be:

  • Speculating on future price movements
  • Hedging an existing position
  • Trading with leverage
  • Managing portfolio exposure
  • Taking short positions
  • Arbitraging differences between markets

The exchange is no longer simply operating a marketplace for assets.

It is operating infrastructure for risk.

This is why the rapid growth of derivatives matters.

Cboe argues that derivatives have increasingly become a central venue for crypto price discovery and risk transfer as the market develops beyond its earlier retail-led structure.

For businesses considering the exchange market, this creates an important strategic distinction.

Building a spot exchange is primarily about facilitating transactions.

Building a derivatives exchange is about managing what happens before, during, and after risk enters the system.

The Trading Interface Is Not the Exchange

This is where many people underestimate derivatives infrastructure.

The visible part of an exchange is easy to recognize.

A trading chart.

An order form.

A position dashboard.

A wallet.

An order book.

But these are only the surface.

The real complexity exists underneath.

A derivatives platform may need infrastructure capable of continuously managing:

  • Open positions
  • Available margin
  • Unrealized profit and loss
  • Maintenance margin
  • Mark prices
  • Funding rates
  • Liquidation thresholds
  • Position limits
  • Insurance mechanisms
  • Market exposure

The user sees a button that says Buy Long.

The exchange sees a chain of calculations that must continue operating even when markets become volatile.

That is why copying the architecture of a traditional spot exchange can create serious problems.

A derivatives platform needs to be designed around real-time risk from the beginning.

Not added later as another product category.

When Leverage Grows, Risk Becomes the Product

Leverage is one of the major reasons derivatives attract traders.

A trader can gain greater market exposure with less capital.

But leverage also creates a mathematical problem for the exchange.

The more leverage involved, the smaller the market movement required to threaten a trader’s margin.

Now imagine that process happening across thousands of accounts.

A sudden market movement can trigger:

Margin pressure → Liquidations → Market orders → More price movement → Additional liquidations

This is one of the defining infrastructure challenges of derivatives trading.

LSEG has highlighted how forced liquidations can add liquidity stress precisely during periods of market pressure. Its analysis of digital-asset derivatives also points to the importance of managing default and systemic risk during extreme market conditions.

For an exchange operator, this means the most important technology may not be the matching engine.

It may be the system deciding:

Who needs to be liquidated, when, and how that liquidation can occur without destabilizing the wider market.

That is not a feature.

That is core infrastructure.

A Derivatives Exchange Is Really a Risk Engine With a Marketplace Attached

This may be the most important idea for anyone planning to launch a crypto derivatives platform.

The trading interface attracts the user.

The market attracts the liquidity.

But the risk engine protects the exchange.

A derivatives exchange needs a framework capable of monitoring positions continuously.

That includes determining:

  • How much collateral supports a position
  • How much exposure a trader can take
  • When margin requirements change
  • When a position approaches liquidation
  • Which price should be used for risk calculations
  • How losses are handled if liquidation cannot close a position efficiently

The answer cannot always be based on the last traded price alone.

Markets can be volatile.

Individual trades can occur at unusual prices.

Order books can become thin.

That is why sophisticated derivatives infrastructure typically depends on carefully designed pricing, margin, and risk mechanisms.

The system has to work when markets are normal.

More importantly, it has to work when markets are not.

Liquidity Is Not a Marketing Metric

A new exchange can launch with:

50 trading pairs.

100 contracts.

Advanced charts.

Copy trading.

Trading bots.

Mobile applications.

Promotional campaigns.

And still fail.

Why?

Because traders need to execute.

Liquidity determines whether an exchange can provide:

  • Tighter spreads
  • Lower slippage
  • Faster execution
  • Greater order-book depth
  • More reliable liquidations

Recent market data also shows how competitive this challenge has become.

CoinMarketCap’s May 2026 exchange report found that derivatives activity was heavily concentrated, with the five leading venues responsible for more than 88% of tracked derivatives flow.

That creates a difficult reality for new platforms.

The market is not waiting for another exchange simply because the exchange has more features.

A new entrant needs to answer a more difficult question:

Why would traders bring their capital and order flow here?

The answer may involve a specific region, asset category, trading product, institutional market, liquidity partnership, or user segment.

But one thing is clear.

Liquidity cannot be treated as something the exchange will figure out after launch.

It has to be part of the platform strategy.

More Contracts Do Not Automatically Create a Better Exchange

The temptation for new exchanges is obvious.

Add more markets.

Add more leverage.

Add more products.

Add more features.

But product expansion can also create more operational complexity.

Every derivatives market introduces questions around:

  • Index pricing
  • Liquidity
  • Risk exposure
  • Position limits
  • Settlement
  • Market surveillance
  • Margin requirements

The objective should not be to build the largest possible product catalogue.

It should be to build a market that works.

A smaller exchange with deep liquidity in a carefully selected set of products may create a better trading experience than a platform offering hundreds of thinly traded contracts.

This is particularly important because derivatives markets are increasingly concentrated around leading platforms, even as new categories and products continue to emerge.

The next successful exchange may therefore not be the one that offers everything.

It may be the one that solves one market exceptionally well.

The Real Architecture Begins With What Happens During Stress

Most platforms perform well in normal conditions.

That is not the hardest test.

The real test is what happens when:

Prices move rapidly.

Volatility spikes.

Order books thin out.

APIs receive unusual traffic.

Liquidations accelerate.

Users rush to close positions.

A derivatives exchange must continue processing risk while managing enormous numbers of simultaneous events.

This creates an infrastructure problem involving multiple systems operating together:

Matching Engine

Processes orders efficiently and fairly.

Risk Engine

Monitors margin, exposure, and account-level risk.

Pricing Infrastructure

Maintains reliable market and reference pricing.

Liquidation Engine

Responds when positions no longer meet margin requirements.

Market Surveillance

Monitors abnormal activity and potential manipulation.

Collateral Infrastructure

Tracks balances and available margin.

Insurance and Loss Mechanisms

Helps manage exceptional situations when positions cannot be closed efficiently.

These systems cannot operate as disconnected modules.

They need to communicate in real time.

This is why derivatives exchange architecture deserves to be treated as a financial infrastructure challenge rather than simply a trading-software project.

Why “Add Derivatives Later” Is Becoming a Weak Strategy

For a spot exchange, derivatives may look like a natural next step.

The exchange already has:

Users.

Wallets.

A trading interface.

A matching engine.

Why not add perpetual contracts?

Because derivatives change the nature of the platform.

The introduction of leverage creates:

New risk models.

New pricing requirements.

New liquidation processes.

New collateral considerations.

New compliance obligations.

New operational risks.

The exchange may therefore need to redesign core systems rather than simply add a new trading tab.

This is why businesses evaluating Crypto Derivatives Exchange Development Services need to start with the market and risk architecture before focusing on the visible interface.

The first questions should be:

Which derivatives products will we support?

Who is the target trader?

How will liquidity be developed?

How will margin be calculated?

What happens during extreme volatility?

How will liquidations work?

How will pricing references be maintained?

Those decisions influence the technology that needs to be built.

The Next Competitive Advantage Could Be Better Risk Management

For years, crypto derivatives competition was often associated with one number:

Maximum leverage.

10x.

25x.

50x.

100x.

But higher leverage does not automatically create a stronger exchange.

It increases the importance of everything happening behind the interface.

Margining.

Liquidation.

Market monitoring.

Capital protection.

Position management.

The next generation of exchanges may therefore compete less on how much leverage they can advertise and more on how intelligently they can manage the risk created by that leverage.

This is where infrastructure becomes a competitive advantage.

The exchange that handles volatility better can create greater confidence.

The exchange that maintains execution during market stress can retain more sophisticated traders.

The exchange that provides reliable pricing and risk controls can build a stronger long-term operating model.

Risk management is no longer simply a defensive function.

It is part of the product.

Institutional Growth Will Raise the Infrastructure Standard

The crypto market is becoming increasingly connected to broader financial infrastructure.

Cboe notes that the growth of crypto exchange-traded products and derivatives has strengthened the relationship between digital-asset markets and traditional financial systems, with regulated derivatives venues becoming increasingly important to institutional participation.

CME Group also reported nearly $3 trillion in cryptocurrency futures and options trading during 2025, alongside substantial growth in average daily volume and open interest.

This matters because institutional participants generally bring different expectations.

They may require:

  • Reliable APIs
  • Deeper liquidity
  • Robust risk controls
  • High availability
  • Advanced reporting
  • Operational transparency
  • Professional custody and settlement infrastructure

As the market evolves, exchange infrastructure will increasingly be judged against these requirements.

A consumer-style trading app may attract retail users.

But institutional-grade market infrastructure requires a different standard of engineering.

The Exchange Industry Is Moving From Feature Competition to Infrastructure Competition

The numbers suggest that derivatives have already become central to crypto market activity.

But the next stage of competition will not necessarily be about launching more perpetual contracts.

It may be about building better infrastructure around them.

That means competing on:

Execution quality.

Liquidity.

Risk management.

System reliability.

API performance.

Capital efficiency.

Market integrity.

The visible features will still matter.

But infrastructure will increasingly determine whether the business can operate at scale.

The strongest exchanges may eventually become difficult to distinguish by interface alone.

The real difference will be found in the systems traders never see.

The Future of Crypto Derivatives Will Not Be Built Like Spot Trading

Crypto derivatives are already larger than spot markets by trading activity.

But many businesses still approach derivatives development with an outdated assumption:

Build a spot exchange first. Add leverage later.

The market data suggests that approach deserves to be reconsidered.

A derivatives exchange needs to be designed around:

Risk.

Liquidity.

Margin.

Volatility.

Market stress.

The trading screen is important.

But it is not the foundation.

The foundation is the infrastructure underneath it.

Conclusion: The Biggest Exchange Product Is the System Traders Never See

Crypto derivatives have changed the economics of the exchange industry.

The market is no longer centered only on buying and selling digital assets.

It increasingly revolves around managing exposure, leverage, and risk.

That requires a different kind of infrastructure.

The next successful derivatives exchanges will not necessarily win because they offer:

More leverage.

More contracts.

More trading indicators.

More promotional features.

They may win because their systems are better at managing what happens when everyone wants to trade at the same time — and the market moves in the wrong direction.

That is the difference between building a trading interface and building an exchange.

And as crypto derivatives continue to shape the market, the businesses that understand that distinction early may have a significant advantage.

The future of crypto derivatives will not be determined only by what traders see on the screen.

It will be determined by the infrastructure working underneath it.


Crypto Derivatives Are Now Bigger Than Spot Trading. was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

$90.7B in Tokenized Gold Trading: Is the $31T Gold Market Ready for Its Next Digital Transformation?

Gold has spent centuries moving through vaults, banks, exchanges, refineries and jewelry markets.

Now, some of that same economic value is moving through blockchains.

In the first quarter of 2026, spot trading of tokenized gold reached $90.7 billion, already surpassing the $84.6 billion recorded across the entire year of 2025. At the same time, the World Gold Council estimates the total above-ground gold market at approximately $31 trillion, with more than $15 trillion representing investable gold.

Those numbers should not be interpreted as evidence that $90.7 billion of tokenized gold represents a large percentage of the global gold market. It does not.

That is precisely what makes the opportunity interesting.

Tokenized gold is still small compared with the underlying asset. Yet the digital market is growing quickly enough to raise a much larger question:

What happens if even a small fraction of one of the world’s largest and most liquid asset markets becomes digitally transferable, programmable and accessible through blockchain infrastructure?

The answer may not simply be another crypto product.

It could be a new layer of infrastructure connecting physical gold with digital financial markets.

$31 Trillion Is the Market Behind the Token

The first mistake in evaluating gold tokenization is to look only at the size of existing gold tokens.

The bigger picture starts with the asset itself.

The World Gold Council estimates that roughly 220,000 tonnes of gold exist above ground, representing a market worth around $31 trillion. More than $15 trillion of that is considered investable gold across physical bars, coins, ETFs, private holdings, central-bank holdings and derivatives.

Gold is also unusually liquid for a physical asset.

The World Gold Council estimates that gold trading averaged approximately $361 billion per day during 2025, including OTC trading, futures and gold-backed ETFs.

That matters because tokenization works best when there is already an established asset, established demand and established market infrastructure underneath it.

Gold has all three.

The technology does not need to create demand for gold from zero.

It needs to create new ways for existing demand to interact with it.

The $90.7B Number Changes the Conversation

Tokenized gold is not an entirely new concept.

Gold-backed digital products have existed in different forms for years, including digital gold accounts, certificates, ETFs and blockchain-based tokens. The World Gold Council describes tokenized gold as one part of a broader evolution toward digitally represented gold.

What has changed is the scale of activity.

CoinGecko reported that tokenized gold generated $90.7 billion in spot trading volume during Q1 2026, compared with $84.6 billion for the whole of 2025. Its data also shows that tokenized commodities reached $5.55 billion in market capitalization by March 31, 2026, with gold-backed tokens driving most of that growth.

But there is an important qualification.

Trading volume is not the same thing as market capitalization.

And neither tells us that tokenized gold is destined to replace conventional gold markets.

Instead, these numbers show something more useful:

There is already measurable demand for digitally represented gold, and the market is developing quickly enough for businesses to explore the infrastructure opportunity.

That is a much more defensible investment thesis than simply calling tokenized gold “the future of gold.”

Why Gold Is Particularly Suitable for Tokenization

Not every physical asset is equally easy to tokenize.

Gold has several characteristics that make the transition from physical ownership to digital representation particularly interesting.

Global Recognition

Gold does not need to explain its value proposition to every new market.

It is already recognized by consumers, investors, banks, central banks and financial institutions around the world.

Standardized Characteristics

Weight, purity, bar identification, custody location and other attributes can be documented and associated with specific gold holdings.

The World Gold Council’s Standard Gold Unit concept, for example, explores digitally representing standardized quantities of gold while maintaining information about attributes such as purity, weight and location.

Existing Liquidity

Gold already trades across OTC markets, futures exchanges, ETFs and physical markets.

Tokenization therefore has the potential to connect digital infrastructure with an established underlying market rather than attempting to manufacture liquidity from scratch.

Fractional Accessibility

Physical gold can be expensive or operationally inconvenient to divide, store and transfer.

A properly structured digital representation can allow ownership interests to be represented in smaller units, subject to the legal and economic structure of the product.

Digital Transferability

A token can potentially move through blockchain infrastructure much differently from a physical bar.

That creates opportunities for programmable transfers, automated settlement and integration with digital financial applications.

But there is a critical distinction:

Putting gold on a blockchain does not automatically make the underlying gold more valuable, more liquid or more trustworthy.

The infrastructure connecting the token to the physical asset determines much of the product’s credibility.

The Hardest Part Isn’t Minting the Token

Creating a token is relatively straightforward.

Creating a credible gold-backed financial product is not.

A serious gold tokenization model has to answer questions that have little to do with blockchain code.

Where is the gold stored?

Who owns it?

How is ownership recorded?

Who verifies the reserves?

How frequently are reserves reconciled?

What happens if the issuer becomes insolvent?

Can token holders redeem the underlying gold?

What are the minimum redemption amounts?

Who handles transportation?

What happens when a token changes hands?

Which jurisdiction governs the asset?

These questions reveal an important reality:

Gold tokenization is fundamentally a coordination problem between physical assets and digital infrastructure.

The blockchain is only one component.

6 Infrastructure Layers a Gold Tokenization Business Cannot Ignore

1. Asset and Custody Infrastructure

The token must have a clearly defined relationship with the underlying gold.

That can involve:

  • Vault integrations
  • Custodian records
  • Bar-level identification
  • Weight and purity information
  • Ownership records
  • Insurance information
  • Reserve reconciliation
  • Audit processes

The digital asset becomes more credible when the connection between token ownership and physical gold is transparent and verifiable.

The World Gold Council has identified custody coordination, reconciliation, compliance and redemption as important components of scalable digital-gold infrastructure.

2. Tokenization and Smart-Contract Infrastructure

The token itself needs rules.

Those rules can govern:

  • Issuance
  • Minting
  • Transfers
  • Burning
  • Redemption
  • Supply controls
  • Ownership restrictions
  • Administrative permissions
  • Emergency controls

The design should reflect the legal and economic structure of the underlying gold rather than treating the token as an independent cryptocurrency.

This is one of the areas where technical architecture and legal structure need to be considered together.

3. Investor and User Infrastructure

The user experience determines how easily someone can interact with the product.

A platform may need:

  • Account creation
  • Identity verification
  • Investment onboarding
  • Wallet management
  • Portfolio tracking
  • Token purchase
  • Transfer functionality
  • Redemption requests
  • Transaction history
  • Statements
  • Notifications

For institutional users, the requirements can extend much further into permissions, reporting, APIs and account structures.

4. Compliance Infrastructure

Tokenized gold does not operate outside financial regulation simply because the asset is represented on a blockchain.

The regulatory treatment can vary significantly according to:

  • Jurisdiction
  • Ownership structure
  • Distribution model
  • Investor type
  • Redemption rights
  • Custody arrangements
  • Secondary-market functionality
  • Nature of the token

That means compliance should be incorporated into the platform architecture from the beginning.

KYC, AML, transaction monitoring, geographic restrictions, investor eligibility and reporting workflows may all become relevant depending on the business model and applicable rules.

5. Redemption Infrastructure

This may be one of the most underestimated components of tokenized gold.

A user may be able to buy a token in seconds.

But what happens when that user wants the underlying gold?

A credible redemption process needs to establish:

Who can redeem → what they can redeem → minimum quantity → fees → processing time → delivery method → verification → settlement

The World Gold Council specifically identifies inconsistent redemption as one of the current limitations affecting digital-gold products.

That makes redemption more than a back-office feature.

It can become part of the product’s competitive proposition.

6. Secondary-Market Infrastructure

Primary issuance is only one side of the equation.

If token holders cannot efficiently transfer or trade their interests, the digital representation may provide limited additional utility.

A broader ecosystem could potentially include:

  • Peer-to-peer transfers
  • Exchange integration
  • Order-book trading
  • Liquidity providers
  • Market-making
  • Real-time pricing
  • Trading APIs
  • Portfolio analytics

This is where tokenization begins to move from digital ownership representation toward digital market infrastructure.

The Biggest Opportunity May Be Beyond Fractional Ownership

Fractional ownership is often presented as the main advantage of tokenization.

It is useful.

But it may not be the most transformative one.

The larger opportunity could be making gold more interoperable with digital financial infrastructure.

Imagine a gold-backed digital asset that can interact with:

  • Digital exchanges
  • Institutional trading systems
  • Payment infrastructure
  • Lending applications
  • Collateral systems
  • Treasury platforms
  • Wealth-management applications
  • Portfolio analytics
  • Cross-border financial services

The World Gold Council has specifically explored the possibility of digital gold becoming more useful as collateral and enabling broader transferability and financial-market integration.

That shifts the conversation.

The question becomes less:

“How do we tokenize gold?”

And more:

“What can businesses do with gold once it becomes digitally interoperable?”

That is a much larger product-development question.

Where Can a Gold Tokenization Business Generate Revenue?

Tokenization can create several potential revenue models depending on the business structure.

Issuance Fees

Businesses can charge fees for creating and issuing tokenized gold products.

Trading Fees

A secondary marketplace can generate revenue from transactions.

Redemption Fees

Physical redemption can create a service-based revenue stream where permitted.

Custody and Management Fees

Businesses may charge for asset administration, custody coordination or related services.

Institutional Services

Professional investors may require APIs, analytics, reporting, account structures and dedicated infrastructure.

Platform-as-a-Service

A technology provider can offer the underlying infrastructure to gold dealers, financial institutions, asset managers or digital-asset businesses that want to launch their own branded products.

The important point is that tokenization itself is not the business model.

It is infrastructure that enables a business model.

What Business Owners Should Validate Before Building

Before investing in development, a gold-tokenization business should answer seven questions.

1. What exactly does one token represent?

A specific gold bar, a fractional interest in pooled gold, a contractual claim, or another structure?

2. Who holds the underlying gold?

The custodian relationship should be clearly defined.

3. How is the reserve verified?

Proof-of-reserve processes, audits and reconciliation mechanisms should be established.

4. Who is allowed to purchase the token?

The answer can affect onboarding, compliance and distribution architecture.

5. How does redemption work?

Redemption should be defined before launch rather than added after the platform is live.

6. Where will liquidity come from?

A token without a credible transfer or trading environment may not deliver the intended benefits of digital ownership.

7. What happens when the platform reaches scale?

Architecture should account for user growth, transaction volume, market activity, integrations and operational complexity from the beginning.

These questions are more important than deciding which blockchain logo appears on the homepage.

From Gold Token to Gold Infrastructure

The next stage of tokenized gold is unlikely to be won simply by creating another gold-backed token.

There are already products in the market.

The bigger opportunity is building systems that make digital gold trusted, transferable, compliant, redeemable and useful.

That requires coordination between physical custody and digital systems.

It requires reliable data.

It requires transparent ownership.

It requires secure smart contracts.

It requires strong user and institutional workflows.

And it requires infrastructure that can scale beyond the first few thousand users.

This is why the development conversation should begin with the asset model and business model, not the token contract.

Building a Gold Tokenization Platform Around the Business Model

A scalable platform should be designed around the way the business intends to issue, distribute, manage and redeem tokenized gold.

For businesses entering this market, Gold Tokenization Platform Development Company capabilities can become relevant across the complete technology stack — from tokenization and smart contracts to investor onboarding, custody integrations, compliance workflows, trading infrastructure, redemption and analytics.

The objective should not be to build the maximum number of features.

It should be to build the infrastructure required for the intended market model, then create an architecture that can expand as adoption grows.

An institution launching a regulated gold investment product will have very different requirements from a fintech company building a retail digital-gold application.

A gold dealer entering tokenization may prioritize custody and redemption.

An exchange may prioritize liquidity, trading infrastructure and APIs.

A financial institution may prioritize compliance, institutional accounts, reporting and integration.

The platform should reflect those differences.

The Digital Transformation of Gold Is Already Underway

There is evidence that the broader gold industry is already thinking beyond traditional digitization.

The World Gold Council launched its Gold247 initiative around the digital transformation of the gold market, with work spanning gold-bar integrity, wholesale digital gold and standardized digital representations. It has also proposed a shared infrastructure model connecting physical gold custody with digital systems for issuance and management.

That is significant because it shows the conversation is moving beyond individual blockchain projects.

The industry is beginning to examine the infrastructure required to connect physical gold, digital ownership and financial-market workflows.

And that is where the $31 trillion market becomes relevant.

Even if tokenized gold remains a small percentage of global gold, the addressable opportunity does not need to capture the entire market to become commercially meaningful.

A fraction of a trillion-dollar asset class can still represent a substantial market.

How Softean Helps Turn Gold Tokenization Concepts Into Scalable Platforms

Softean helps businesses turn gold tokenization concepts into production-ready platforms designed around their asset structure, target users, custody model, compliance requirements, and market strategy. Our approach goes beyond creating digital tokens by connecting tokenization infrastructure with smart contracts, investor onboarding, custody integrations, redemption workflows, trading capabilities, APIs, analytics, and administrative controls.

As a Leading Asset Tokenization Platform Development Company, Softean can build customized infrastructure for businesses looking to digitize gold ownership, enable fractional access, create investor-facing platforms, or connect tokenized gold with broader digital-asset ecosystems. The technology can be structured around the specific operating model of the business, allowing the platform to support its initial launch while remaining adaptable for future products, integrations, and market expansion.

The objective is to make gold tokenization commercially usable — not simply technically possible. By combining blockchain infrastructure with the operational components required to manage digital representations of physical gold, Softean helps businesses move from an initial concept toward a scalable platform built for real-world users and transactions.

The $31T Question Isn’t Whether Gold Will Become Digital

Gold is already digital in many ways.

Trading, clearing, record keeping, ETFs, digital gold accounts and tokenized products have already introduced different forms of digital representation into the gold ecosystem. The World Gold Council notes that the next challenge is making these systems more interoperable, transparent and useful while preserving the trust associated with physical gold.

The more interesting question is what happens when those systems become increasingly connected.

If physical gold can be represented digitally, transferred efficiently, reconciled transparently, integrated with financial applications and redeemed through clearly defined mechanisms, tokenization could become more than a new ownership format.

It could become a new infrastructure layer for one of the world’s oldest financial assets.

The $90.7 billion of tokenized-gold spot trading recorded in Q1 2026 does not prove that transformation is inevitable.

But it does show that the digital market is already large enough to deserve serious attention.

And with approximately $31 trillion of gold above ground, the potential market sitting behind that digital experiment is difficult to ignore.

The next question is no longer simply whether gold can be tokenized.

It is whether businesses can build the infrastructure that makes tokenized gold genuinely useful.

That is where the next chapter of digital gold may be written.


$90.7B in Tokenized Gold Trading: Is the $31T Gold Market Ready for Its Next Digital Transformation? was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

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