Search "what is tokenization" and you will find IBM explaining payment card security, Mastercard explaining card-on-file protection, and Okta explaining data vaulting. All correct — but all incomplete. In 2026, tokenization refers to three fundamentally different processes across three industries, and no single guide covers all three with the depth each deserves.

This guide does. It covers data security tokenization (which protects your credit card number), blockchain asset tokenization (which is reshaping global capital markets with $19.4 billion in real-world assets on-chain), and AI/NLP tokenization (which powers every large language model from ChatGPT to Claude). Whether you are a CISO evaluating data protection, a fintech founder exploring asset tokenization, or a developer working with LLMs, this is the complete reference.

• What Is Tokenization? The Core Definition

• Three Types of Tokenization: Data Security vs Blockchain vs AI

• Data Security Tokenization: Protecting Sensitive Information

• Tokenization vs Encryption: Key Differences

• Blockchain Asset Tokenization: How Real-World Assets Go On-Chain

• The Tokenization Process: How to Tokenize an Asset Step by Step

• What Can Be Tokenized?

• Token Standards: ERC-20, ERC-721, and ERC-3643

• Tokenization Regulation in 2026: MiCA, SEC, and DLT Pilot Regime

• The Tokenization Market in 2026: Data and Institutional Adoption

• Tokenization in AI: What Are Tokens in Large Language Models?

• How Beltsys Builds Tokenization Infrastructure

• Benefits, Risks, and Challenges

• The Future of Tokenization: 2026-2030

At its most fundamental, tokenization is the process of replacing or representing something — data, assets, or text — with a token: a substitute unit that carries specific properties within a defined system. What the token represents, how it is created, and what rules govern it depend entirely on the context.

In data security, a token replaces sensitive information (a credit card number, a Social Security number) with a non-sensitive substitute that has no exploitable value outside the tokenization system. The original data is stored securely in a vault; the token is what moves through systems.

In blockchain, a token represents ownership of a real-world asset — real estate, bonds, equity, commodities — recorded on a distributed ledger with programmable compliance rules. The token has real economic value and can be traded.

In AI and NLP, a token is the smallest unit of text that a language model processes — a word, a subword, or a punctuation mark. It is the atomic unit of input and output for every LLM.

Same word. Three different industries. Three different transformations.

Understanding which type of tokenization applies to your context is the first step to making informed technology and business decisions.

Data security tokenization replaces sensitive data elements with non-sensitive substitutes called tokens. The critical distinction from encryption: a token has no mathematical relationship to the original data. There is no key that can reverse-engineer the original value from the token alone. The mapping between token and original data exists only in a secure token vault.

This is why tokenization is the preferred approach for PCI DSS compliance in payment processing. When a customer enters their credit card number, the payment system tokenizes it immediately. The token — not the card number — travels through processing systems, is stored in databases, and is used for recurring transactions. If an attacker breaches the merchant's database, they get tokens with zero value.

Major payment processors have built their infrastructure on this model. Mastercard's tokenization services, Stripe's vaulting infrastructure, and Adyen's token management all follow the same principle: minimize the exposure of sensitive data by ensuring it never leaves the secure vault.

Beyond payments, tokenization applies to any sensitive data subject to regulatory protection: healthcare records (HIPAA), personal data (GDPR), financial identifiers, and authentication credentials.

This is one of the most common questions, and the distinction matters for compliance and architecture decisions.

In practice, most enterprise architectures use both: encryption for data in transit and at rest, tokenization for specific high-value data elements that need to flow through multiple systems without exposing the originals.

Blockchain asset tokenization is the process of creating a digital token on a blockchain that represents legally binding ownership of a real-world asset. Unlike data security tokens, these tokens have real economic value — they carry the rights of ownership (dividends, rental income, voting rights, capital gains) and can be transferred, fractionalized, and traded on-chain through smart contracts.

This is the form of tokenization that is reshaping global finance in 2026. The market for tokenized real-world assets (RWA) on public blockchains crossed $19.4 billion in early 2026, with $8.7 billion in US Treasuries alone Source: rwa.xyz. The growth trajectory is exponential: 800% increase since 2023 according to CoinLaw, with projections reaching $9.43 trillion by 2030 (CAGR 72.8%) per NextMSC.

Tokenization delivers measurable economic benefits. Gate.com documents 40-60% transaction cost savings for real estate and corporate debt tokenization compared to traditional issuance and settlement processes. The elimination of intermediaries (transfer agents, custodians, clearinghouses) and the automation of compliance through smart contracts are the primary drivers.

Tokenizing a real-world asset is not just deploying a smart contract. It is a structured process combining legal, technical, and compliance layers:

1. Asset selection and valuation: Identify the asset, conduct an independent valuation, and verify that the ownership structure supports digital representation. Not every asset is a good candidate — clear title, definable rights, and regulatory compatibility are prerequisites.

2. Legal structuring: Create the legal vehicle linking the token to the asset's rights. Typically, a special purpose vehicle (SPV) holds the asset, and tokens represent shares in that SPV. This structure must satisfy securities regulation in the relevant jurisdictions.

3. Smart contract development: Design and deploy the token contract using the appropriate standard. For regulated securities, ERC-3643 provides native compliance with KYC/AML verification, transfer restrictions, and issuer controls. For utility tokens, ERC-20 suffices.

4. KYC/AML integration: Connect identity verification providers with the smart contract. In ERC-3643, this is native through ONCHAINID — each investor has an on-chain identity with cryptographically verified claims.

5. Token issuance and distribution: Mint tokens and distribute to verified investors through a regulated issuance platform. Payment rails can be fiat or stablecoins.

6. Secondary market: Once issued, tokens can trade on regulated secondary markets or peer-to-peer, always respecting the compliance rules embedded in the smart contract.

Real estate: The most mature use case. Property tokenization fractionalizes commercial and residential buildings into thousands of tokens, democratizing access to real estate investment. Rental income distributes automatically through smart contracts.

Government bonds and debt: $8.7 billion in US Treasuries are tokenized on-chain. Corporate bonds follow the same model, with smart contracts automating coupon payments and maturity settlement.

Private equity and funds: BlackRock's BUIDL fund, Franklin Templeton's on-chain money market fund, and products from Fidelity, Apollo, and KKR represent the institutional vanguard. The 53% of wealth managers now engaged in tokenization signals mainstream adoption (CoinLaw).

Commodities: Gold-backed tokens, carbon credits, and agricultural commodities. Under MiCA, these are classified as ARTs (Asset-Referenced Tokens) requiring specific authorization.

Art, collectibles, and IP: Fractional NFT ownership of physical art, patent royalties, and music rights are emerging but less mature than financial asset tokenization.

ERC-3643 (T-REX Protocol) is the decisive standard for regulated tokenization. It is on track to become an ISO standard, establishing it as the gold standard for compliant token issuance globally (erc3643.org). Under MiCA, issuers may need to transition to ERC-3643 for permissioned token compliance according to Tokeny.

The standard provides three capabilities regulators require: on-chain identity (ONCHAINID with verifiable claims), configurable compliance modules (jurisdiction, investor type, concentration limits), and issuer control functions (freeze, forced transfer, recovery). Over $28 billion in assets have been tokenized using ERC-3643.

MiCA classifies crypto-assets into utility tokens, ARTs, and EMTs — but security tokens are excluded from MiCA and regulated under MiFID II as financial instruments. This means tokenized real estate, equity, bonds, and fund shares require full securities compliance: prospectuses, regulatory approval, and ongoing reporting.

The DLT Pilot Regime (Regulation 2022/858) creates a regulatory sandbox for trading and settling tokenized securities on blockchain, bridging traditional market infrastructure with DLT.

The SEC applies the Howey Test to determine whether tokens are securities. The GENIUS Act, advancing through Congress in 2026, is legitimizing institutional tokenization adoption and could enable pension fund participation in tokenized assets Source: Gate.com.

BlackRock has articulated a public four-stage vision: (1) stablecoins as settlement rails, (2) tokenized government bonds, (3) tokenized stocks, bonds, and real estate, (4) full market tokenization. Stages 1 and 2 are already in production Source: BinaryX. When the world's largest asset manager publishes a tokenization roadmap, the market has reached irreversibility.

The narrative shift is definitive: tokenization has moved from experimental to core infrastructure for capital markets. The leading names are not crypto startups — they are BlackRock, Fidelity, Apollo, KKR, and Franklin Templeton.

The third meaning of tokenization is increasingly relevant as AI adoption accelerates. In NLP (Natural Language Processing) and LLMs, tokenization is the process of breaking text into discrete units — tokens — that the model can process.

In English, one token equals approximately 4 characters or three-quarters of a word. The sentence "Tokenization has three different meanings" contains roughly 7 tokens. Most modern LLMs use Byte Pair Encoding (BPE) or similar subword tokenization algorithms that balance vocabulary size with representation efficiency.

AI tokenization directly impacts business costs. LLM APIs (GPT-4, Claude, Gemini) charge per token for both input and output. Context windows — the maximum tokens a model processes at once — determine what tasks are possible. GPT-4 Turbo handles 128K tokens; Claude 3.5 handles 200K tokens.

While technically unrelated to blockchain tokenization, the convergence is emerging: blockchain-verified provenance for AI-generated content, on-chain attestation of model outputs, and decentralized AI training data marketplaces are all active development areas in 2026.

At Beltsys, we have been building tokenization infrastructure since 2016, with over 300 projects delivered for fintechs, enterprises, and institutional clients. Asset tokenization is our core specialty.

Our tokenization capabilities include:

• ERC-3643 deployment: Complete implementation with ONCHAINID, compliance modules configured per jurisdiction, and issuer control functions — production-tested and audit-ready.

• End-to-end tokenization platforms: From smart contracts to investor-facing DApps — KYC onboarding, subscription flows, portfolio dashboards, and secondary market infrastructure.

• Smart Wallets with ERC-4337: Account abstraction for simplified investor onboarding — no gas fees, social recovery, and Web2-simple UX without compromising compliance.

• Web3 development: Fiat on-ramp integration, custodian connections, and legacy system bridging for enterprises transitioning to tokenized infrastructure.

If you are evaluating a tokenization project, our blockchain consulting team can guide you from legal structuring through technical deployment. Get in touch.

• Fractional ownership: Assets worth millions become accessible in $100-$1,000 increments

• Liquidity: Traditionally illiquid assets trade 24/7 on secondary markets

• Cost reduction: 40-60% savings on transaction and settlement costs

• Automated compliance: Smart contracts enforce regulatory rules without manual intervention

• Transparency: Immutable on-chain records auditable by all participants

• Global reach: Compliance travels with the token across jurisdictions

• Regulatory evolution: Frameworks are maturing but interpretation varies between jurisdictions

• Secondary market liquidity: Token issuance does not guarantee trading volume

• Custody risk: Secure key management remains critical — 89% of financial institutions name it as priority

• Smart contract risk: Code vulnerabilities can have irreversible financial consequences

• Valuation complexity: Illiquid assets require independent, ongoing valuation mechanisms

Three forces will drive tokenization from $19 billion to $9.43 trillion:

Institutional acceleration: BlackRock's four-stage plan is a roadmap the entire industry is following. As stages 3 and 4 (equities, real estate, full market) activate, the total addressable market expands by orders of magnitude.

Infrastructure maturity: Ethereum Layer 2 networks, cross-chain bridges, and the ERC-3643 ISO standardization process are removing technical barriers. Tokenized asset settlement will be faster, cheaper, and more interoperable than traditional infrastructure.

Regulatory convergence: MiCA in Europe, evolving SEC frameworks in the US, and active regulatory development in Hong Kong, Singapore, and Japan are creating a global landscape where regulated tokenization can scale. Companies building their tokenization infrastructure now will capture first-mover advantage in a multi-trillion-dollar market.

Tokenization is the process of replacing or representing something with a token — a substitute unit within a system. In data security, it replaces sensitive data with non-sensitive substitutes. In blockchain, it converts real-world asset ownership into digital tokens. In AI, it breaks text into processing units for language models. The meaning depends on context.

Tokenization replaces data with random tokens that have no mathematical relationship to the original — the mapping exists only in a secure vault. Encryption transforms data using an algorithm and key — it can be reversed with the key. Tokenization reduces PCI DSS scope; encryption keeps systems in scope. Most enterprises use both.

Asset tokenization creates digital tokens on a blockchain representing legally binding ownership of real-world assets — real estate, bonds, equity, commodities. The token carries economic rights and can be traded, fractionalized, and settled on-chain. The market crossed $19.4 billion in 2026 and is projected to reach $9.43 trillion by 2030.

ERC-3643 is the Ethereum standard for regulated security tokens with native on-chain identity verification (ONCHAINID) and configurable compliance modules. It is becoming an ISO standard and is the gold standard for compliant asset tokenization under MiCA and MiFID II. Over $28 billion in assets have been tokenized using ERC-3643. Beltsys implements it for production-grade tokenization.

In the EU, security tokens fall under MiFID II (not MiCA) with full securities compliance requirements. The DLT Pilot Regime enables blockchain-based securities trading. In the US, the SEC applies the Howey Test, and the GENIUS Act is advancing institutional tokenization. Both jurisdictions are moving toward clear frameworks that enable regulated tokenization at scale.

In AI, tokenization breaks text into discrete units (tokens) that language models process. One token equals roughly 4 characters or ¾ of a word in English. LLM APIs charge per token. Context windows (128K-200K tokens) determine processing capacity. This is technically unrelated to blockchain tokenization but shares the name.

Key benefits: fractional ownership (access assets for $100 instead of $100K), 24/7 liquidity on secondary markets, 40-60% transaction cost savings, automated compliance through smart contracts, transparent on-chain records, and global accessibility. The combination makes previously illiquid assets tradeable and accessible to a much broader investor base.

Main risks: evolving regulatory frameworks, insufficient secondary market liquidity, custody and key management challenges, smart contract vulnerabilities, and valuation complexity for illiquid assets. Professional implementation with audited smart contracts, ERC-3643 compliance, and institutional-grade custody mitigates these significantly.

Beltsys is a Spanish blockchain development company specializing in asset tokenization, smart contracts, and Web3 infrastructure for enterprises and fintechs. With extensive experience across more than 300 projects since 2016, Beltsys delivers production-grade tokenization platforms using ERC-3643, DApp development, and blockchain consulting for European and international markets. Learn more about Beltsys

Related: Real Estate Tokenization Related: Smart Contract Development Related: ERC-3643 Security Token Standard Related: Web3 Development Related: Blockchain Consulting

• What is blockchain: complete guide

• What is a token and why it matters

• Real estate crowdfunding: complete guide

• What is an NFT: complete guide

• How much does it cost to create a smart contract

Originally published on beltsys.com

Search "what is tokenization" and you will find IBM explaining payment card security, Mastercard explaining card-on-file protection, and Okta explaining data vaulting. All correct — but all incomplete. In 2026, tokenization refers to three fundamentally different processes across three industries, and no single guide covers all three with the depth each deserves.

This guide does. It covers data security tokenization (which protects your credit card number), blockchain asset tokenization (which is reshaping global capital markets with $19.4 billion in real-world assets on-chain), and AI/NLP tokenization (which powers every large language model from ChatGPT to Claude). Whether you are a CISO evaluating data protection, a fintech founder exploring asset tokenization, or a developer working with LLMs, this is the complete reference.

• What Is Tokenization? The Core Definition

• Three Types of Tokenization: Data Security vs Blockchain vs AI

• Data Security Tokenization: Protecting Sensitive Information

• Tokenization vs Encryption: Key Differences

• Blockchain Asset Tokenization: How Real-World Assets Go On-Chain

• The Tokenization Process: How to Tokenize an Asset Step by Step

• What Can Be Tokenized?

• Token Standards: ERC-20, ERC-721, and ERC-3643

• Tokenization Regulation in 2026: MiCA, SEC, and DLT Pilot Regime

• The Tokenization Market in 2026: Data and Institutional Adoption

• Tokenization in AI: What Are Tokens in Large Language Models?

• How Beltsys Builds Tokenization Infrastructure

• Benefits, Risks, and Challenges

• The Future of Tokenization: 2026-2030

At its most fundamental, tokenization is the process of replacing or representing something — data, assets, or text — with a token: a substitute unit that carries specific properties within a defined system. What the token represents, how it is created, and what rules govern it depend entirely on the context.

In data security, a token replaces sensitive information (a credit card number, a Social Security number) with a non-sensitive substitute that has no exploitable value outside the tokenization system. The original data is stored securely in a vault; the token is what moves through systems.

In blockchain, a token represents ownership of a real-world asset — real estate, bonds, equity, commodities — recorded on a distributed ledger with programmable compliance rules. The token has real economic value and can be traded.

In AI and NLP, a token is the smallest unit of text that a language model processes — a word, a subword, or a punctuation mark. It is the atomic unit of input and output for every LLM.

Same word. Three different industries. Three different transformations.

Understanding which type of tokenization applies to your context is the first step to making informed technology and business decisions.

Data security tokenization replaces sensitive data elements with non-sensitive substitutes called tokens. The critical distinction from encryption: a token has no mathematical relationship to the original data. There is no key that can reverse-engineer the original value from the token alone. The mapping between token and original data exists only in a secure token vault.

This is why tokenization is the preferred approach for PCI DSS compliance in payment processing. When a customer enters their credit card number, the payment system tokenizes it immediately. The token — not the card number — travels through processing systems, is stored in databases, and is used for recurring transactions. If an attacker breaches the merchant's database, they get tokens with zero value.

Major payment processors have built their infrastructure on this model. Mastercard's tokenization services, Stripe's vaulting infrastructure, and Adyen's token management all follow the same principle: minimize the exposure of sensitive data by ensuring it never leaves the secure vault.

Beyond payments, tokenization applies to any sensitive data subject to regulatory protection: healthcare records (HIPAA), personal data (GDPR), financial identifiers, and authentication credentials.

This is one of the most common questions, and the distinction matters for compliance and architecture decisions.

In practice, most enterprise architectures use both: encryption for data in transit and at rest, tokenization for specific high-value data elements that need to flow through multiple systems without exposing the originals.

Blockchain asset tokenization is the process of creating a digital token on a blockchain that represents legally binding ownership of a real-world asset. Unlike data security tokens, these tokens have real economic value — they carry the rights of ownership (dividends, rental income, voting rights, capital gains) and can be transferred, fractionalized, and traded on-chain through smart contracts.

This is the form of tokenization that is reshaping global finance in 2026. The market for tokenized real-world assets (RWA) on public blockchains crossed $19.4 billion in early 2026, with $8.7 billion in US Treasuries alone Source: rwa.xyz. The growth trajectory is exponential: 800% increase since 2023 according to CoinLaw, with projections reaching $9.43 trillion by 2030 (CAGR 72.8%) per NextMSC.

Tokenization delivers measurable economic benefits. Gate.com documents 40-60% transaction cost savings for real estate and corporate debt tokenization compared to traditional issuance and settlement processes. The elimination of intermediaries (transfer agents, custodians, clearinghouses) and the automation of compliance through smart contracts are the primary drivers.

Tokenizing a real-world asset is not just deploying a smart contract. It is a structured process combining legal, technical, and compliance layers:

1. Asset selection and valuation: Identify the asset, conduct an independent valuation, and verify that the ownership structure supports digital representation. Not every asset is a good candidate — clear title, definable rights, and regulatory compatibility are prerequisites.

2. Legal structuring: Create the legal vehicle linking the token to the asset's rights. Typically, a special purpose vehicle (SPV) holds the asset, and tokens represent shares in that SPV. This structure must satisfy securities regulation in the relevant jurisdictions.

3. Smart contract development: Design and deploy the token contract using the appropriate standard. For regulated securities, ERC-3643 provides native compliance with KYC/AML verification, transfer restrictions, and issuer controls. For utility tokens, ERC-20 suffices.

4. KYC/AML integration: Connect identity verification providers with the smart contract. In ERC-3643, this is native through ONCHAINID — each investor has an on-chain identity with cryptographically verified claims.

5. Token issuance and distribution: Mint tokens and distribute to verified investors through a regulated issuance platform. Payment rails can be fiat or stablecoins.

6. Secondary market: Once issued, tokens can trade on regulated secondary markets or peer-to-peer, always respecting the compliance rules embedded in the smart contract.

Real estate: The most mature use case. Property tokenization fractionalizes commercial and residential buildings into thousands of tokens, democratizing access to real estate investment. Rental income distributes automatically through smart contracts.

Government bonds and debt: $8.7 billion in US Treasuries are tokenized on-chain. Corporate bonds follow the same model, with smart contracts automating coupon payments and maturity settlement.

Private equity and funds: BlackRock's BUIDL fund, Franklin Templeton's on-chain money market fund, and products from Fidelity, Apollo, and KKR represent the institutional vanguard. The 53% of wealth managers now engaged in tokenization signals mainstream adoption (CoinLaw).

Commodities: Gold-backed tokens, carbon credits, and agricultural commodities. Under MiCA, these are classified as ARTs (Asset-Referenced Tokens) requiring specific authorization.

Art, collectibles, and IP: Fractional NFT ownership of physical art, patent royalties, and music rights are emerging but less mature than financial asset tokenization.

ERC-3643 (T-REX Protocol) is the decisive standard for regulated tokenization. It is on track to become an ISO standard, establishing it as the gold standard for compliant token issuance globally (erc3643.org). Under MiCA, issuers may need to transition to ERC-3643 for permissioned token compliance according to Tokeny.

The standard provides three capabilities regulators require: on-chain identity (ONCHAINID with verifiable claims), configurable compliance modules (jurisdiction, investor type, concentration limits), and issuer control functions (freeze, forced transfer, recovery). Over $28 billion in assets have been tokenized using ERC-3643.

MiCA classifies crypto-assets into utility tokens, ARTs, and EMTs — but security tokens are excluded from MiCA and regulated under MiFID II as financial instruments. This means tokenized real estate, equity, bonds, and fund shares require full securities compliance: prospectuses, regulatory approval, and ongoing reporting.

The DLT Pilot Regime (Regulation 2022/858) creates a regulatory sandbox for trading and settling tokenized securities on blockchain, bridging traditional market infrastructure with DLT.

The SEC applies the Howey Test to determine whether tokens are securities. The GENIUS Act, advancing through Congress in 2026, is legitimizing institutional tokenization adoption and could enable pension fund participation in tokenized assets Source: Gate.com.

BlackRock has articulated a public four-stage vision: (1) stablecoins as settlement rails, (2) tokenized government bonds, (3) tokenized stocks, bonds, and real estate, (4) full market tokenization. Stages 1 and 2 are already in production Source: BinaryX. When the world's largest asset manager publishes a tokenization roadmap, the market has reached irreversibility.

The narrative shift is definitive: tokenization has moved from experimental to core infrastructure for capital markets. The leading names are not crypto startups — they are BlackRock, Fidelity, Apollo, KKR, and Franklin Templeton.

The third meaning of tokenization is increasingly relevant as AI adoption accelerates. In NLP (Natural Language Processing) and LLMs, tokenization is the process of breaking text into discrete units — tokens — that the model can process.

In English, one token equals approximately 4 characters or three-quarters of a word. The sentence "Tokenization has three different meanings" contains roughly 7 tokens. Most modern LLMs use Byte Pair Encoding (BPE) or similar subword tokenization algorithms that balance vocabulary size with representation efficiency.

AI tokenization directly impacts business costs. LLM APIs (GPT-4, Claude, Gemini) charge per token for both input and output. Context windows — the maximum tokens a model processes at once — determine what tasks are possible. GPT-4 Turbo handles 128K tokens; Claude 3.5 handles 200K tokens.

While technically unrelated to blockchain tokenization, the convergence is emerging: blockchain-verified provenance for AI-generated content, on-chain attestation of model outputs, and decentralized AI training data marketplaces are all active development areas in 2026.

At Beltsys, we have been building tokenization infrastructure since 2016, with over 300 projects delivered for fintechs, enterprises, and institutional clients. Asset tokenization is our core specialty.

Our tokenization capabilities include:

• ERC-3643 deployment: Complete implementation with ONCHAINID, compliance modules configured per jurisdiction, and issuer control functions — production-tested and audit-ready.

• End-to-end tokenization platforms: From smart contracts to investor-facing DApps — KYC onboarding, subscription flows, portfolio dashboards, and secondary market infrastructure.

• Smart Wallets with ERC-4337: Account abstraction for simplified investor onboarding — no gas fees, social recovery, and Web2-simple UX without compromising compliance.

• Web3 development: Fiat on-ramp integration, custodian connections, and legacy system bridging for enterprises transitioning to tokenized infrastructure.

If you are evaluating a tokenization project, our blockchain consulting team can guide you from legal structuring through technical deployment. Get in touch.

• Fractional ownership: Assets worth millions become accessible in $100-$1,000 increments

• Liquidity: Traditionally illiquid assets trade 24/7 on secondary markets

• Cost reduction: 40-60% savings on transaction and settlement costs

• Automated compliance: Smart contracts enforce regulatory rules without manual intervention

• Transparency: Immutable on-chain records auditable by all participants

• Global reach: Compliance travels with the token across jurisdictions

• Regulatory evolution: Frameworks are maturing but interpretation varies between jurisdictions

• Secondary market liquidity: Token issuance does not guarantee trading volume

• Custody risk: Secure key management remains critical — 89% of financial institutions name it as priority

• Smart contract risk: Code vulnerabilities can have irreversible financial consequences

• Valuation complexity: Illiquid assets require independent, ongoing valuation mechanisms

Three forces will drive tokenization from $19 billion to $9.43 trillion:

Institutional acceleration: BlackRock's four-stage plan is a roadmap the entire industry is following. As stages 3 and 4 (equities, real estate, full market) activate, the total addressable market expands by orders of magnitude.

Infrastructure maturity: Ethereum Layer 2 networks, cross-chain bridges, and the ERC-3643 ISO standardization process are removing technical barriers. Tokenized asset settlement will be faster, cheaper, and more interoperable than traditional infrastructure.

Regulatory convergence: MiCA in Europe, evolving SEC frameworks in the US, and active regulatory development in Hong Kong, Singapore, and Japan are creating a global landscape where regulated tokenization can scale. Companies building their tokenization infrastructure now will capture first-mover advantage in a multi-trillion-dollar market.

Tokenization is the process of replacing or representing something with a token — a substitute unit within a system. In data security, it replaces sensitive data with non-sensitive substitutes. In blockchain, it converts real-world asset ownership into digital tokens. In AI, it breaks text into processing units for language models. The meaning depends on context.

Tokenization replaces data with random tokens that have no mathematical relationship to the original — the mapping exists only in a secure vault. Encryption transforms data using an algorithm and key — it can be reversed with the key. Tokenization reduces PCI DSS scope; encryption keeps systems in scope. Most enterprises use both.

Asset tokenization creates digital tokens on a blockchain representing legally binding ownership of real-world assets — real estate, bonds, equity, commodities. The token carries economic rights and can be traded, fractionalized, and settled on-chain. The market crossed $19.4 billion in 2026 and is projected to reach $9.43 trillion by 2030.

ERC-3643 is the Ethereum standard for regulated security tokens with native on-chain identity verification (ONCHAINID) and configurable compliance modules. It is becoming an ISO standard and is the gold standard for compliant asset tokenization under MiCA and MiFID II. Over $28 billion in assets have been tokenized using ERC-3643. Beltsys implements it for production-grade tokenization.

In the EU, security tokens fall under MiFID II (not MiCA) with full securities compliance requirements. The DLT Pilot Regime enables blockchain-based securities trading. In the US, the SEC applies the Howey Test, and the GENIUS Act is advancing institutional tokenization. Both jurisdictions are moving toward clear frameworks that enable regulated tokenization at scale.

In AI, tokenization breaks text into discrete units (tokens) that language models process. One token equals roughly 4 characters or ¾ of a word in English. LLM APIs charge per token. Context windows (128K-200K tokens) determine processing capacity. This is technically unrelated to blockchain tokenization but shares the name.

Key benefits: fractional ownership (access assets for $100 instead of $100K), 24/7 liquidity on secondary markets, 40-60% transaction cost savings, automated compliance through smart contracts, transparent on-chain records, and global accessibility. The combination makes previously illiquid assets tradeable and accessible to a much broader investor base.

Main risks: evolving regulatory frameworks, insufficient secondary market liquidity, custody and key management challenges, smart contract vulnerabilities, and valuation complexity for illiquid assets. Professional implementation with audited smart contracts, ERC-3643 compliance, and institutional-grade custody mitigates these significantly.

Beltsys is a Spanish blockchain development company specializing in asset tokenization, smart contracts, and Web3 infrastructure for enterprises and fintechs. With extensive experience across more than 300 projects since 2016, Beltsys delivers production-grade tokenization platforms using ERC-3643, DApp development, and blockchain consulting for European and international markets. Learn more about Beltsys

Related: Real Estate Tokenization Related: Smart Contract Development Related: ERC-3643 Security Token Standard Related: Web3 Development Related: Blockchain Consulting

• What is blockchain: complete guide

• What is a token and why it matters

• Real estate crowdfunding: complete guide

• What is an NFT: complete guide

• How much does it cost to create a smart contract

Originally published on beltsys.com