a16z: How Tokenization is Transforming the Nature of Assets in 7 Charts

Odaily星球日报Published on 2026-05-24Last updated on 2026-05-24

Abstract

"Tokenized Assets: How Tokenization Changes the Nature of Assets" by a16z Crypto The market for tokenized assets, excluding stablecoins, has grown from under $3 billion two years ago to over $340 billion today. US Treasury bonds are the primary growth driver, allowing investors to hold yield-bearing assets digitally and enabling more efficient settlement. Other key sectors include private credit (growing fastest), commodities (dominated by gold), and niche financial assets. However, the market remains concentrated in tokenized US Treasuries and gold. A critical insight is that most tokenized assets currently lack "composability." While the total market is large, only a small fraction is actively used within DeFi protocols. For instance, only about 5% of tokenized bonds and a low percentage of tokenized gold are utilized on-chain. In contrast, assets like reinsurance and private credit tokens show much higher on-chain usage rates (84% and 33%, respectively). This highlights a divide: many tokenized assets are merely digital records on a blockchain without enabling new, programmable financial applications. The Pantera Capital Token Native Index indicates over 70% of tokenized assets have minimal on-chain native functionality. Ethereum remains the dominant blockchain for tokenized assets (over $150B), but the ecosystem is diversifying across chains like BNB Chain, Solana, and Stellar, based on factors like cost and compliance. Major institutions forecast massive future growt...

Original: a16z crypto

Compiled | Odaily Planet Daily (@OdailyChina); Translator | Moni

Tokenized Assets, often referred to as "Real World Assets (RWA)", are changing the form of assets, how they flow, and how financial systems are constructed.

Just last month, the market size of tokenized assets surpassed $30 billion and is currently stabilizing around $34 billion (excluding stablecoins). This scale is roughly equivalent to that of a regional bank or a top university endowment fund. While still minuscule compared to the global financial system, it is substantial enough to create real-world impact.

Two years ago, the market size of tokenized assets was less than $3 billion. Since then, the market has undergone a dramatic transformation: the US GENIUS Act brought clearer regulatory frameworks for stablecoins, institutional-grade on-chain infrastructure matured, and a wave of financial institutions began deploying blockchain technology around the same time. It was driven by these factors that the tokenized asset market grew tenfold in less than two years. (Note: Although stablecoins are not included in the above statistics, they have substantially fueled the growth of the entire market by greatly simplifying on-chain payments and settlements.)

This article analyzes the reasons behind the rise of tokenized assets and their future trajectory through 7 charts.

Tokenized Assets Take Off: U.S. Treasuries Become the Biggest Growth Engine

U.S. Treasuries are the primary driver behind the recent growth of the tokenized asset market.

The advantages of tokenized U.S. Treasuries are clear and intuitive: investors can hold robust interest-bearing assets in a digital form, enabling more efficient and flexible trading and transfer. Financial institutions, on the other hand, can achieve efficiency gains in settlement and collateral asset allocation, seamlessly connecting with digital financial markets.

Crypto investors can also leverage tokenized Treasuries to put idle stablecoins to work, earning traditional money market yields. Asset managers like BlackRock and Franklin Templeton have accordingly entered the space, fostering a market with hundreds of billions in potential.

It's important to note that the growth rates of various tokenized asset types vary widely. This stems from differences in the technical and regulatory difficulty of tokenizing different assets, as well as market acceptance post-launch.

  • Asset-backed credit leads the growth by a wide margin. This category mainly includes tokens for Home Equity Lines of Credit (HELOCs) and lending vaults. Niche financial assets like reinsurance contracts and Bitcoin mining notes follow, reaching a $1 billion market cap within two years.
  • Venture capital-related assets took over seven years to break the $10 billion market cap mark. Active strategy-related assets followed a similar timeline. These asset structures are more complex, have longer investment cycles, and face higher operational and regulatory barriers.
  • Treasuries and commodities have a moderate pace of on-chain adoption, reaching a market cap of over $10 billion in 2 to 3 years, and are now mainstream categories.

At the beginning of 2024, Treasuries and commodities accounted for almost the entire tokenized asset market share. Since 2024, the share of credit, niche finance, equities, and other categories has steadily increased, but market concentration remains high. Currently, U.S. tokenized Treasuries and commodities together occupy about two-thirds of the market share.

Segmented Landscape of the Tokenized Asset Market

The tokenized commodities sector is highly concentrated internally, with gold tokens dominating the vast majority of the share. The total size is about $5.1 billion, with gold tokens alone amounting to $5 billion. Silver and other commodity tokens are only $57.6 million, accounting for less than 0.01%.

Gold is naturally suited for the tokenized asset model. Currently, the tokenized commodity market is essentially dominated by gold. This is because gold has a globally unified standard, is convenient to store, is not easily perishable, and has long been traded based on entitlements/claims.

Moreover, crypto market investors have historically favored gold assets, with Bitcoin being called digital gold in its early days. Products like Tether Gold (XAUT) and Paxos Gold (PAXG) map ownership of physical gold in vaults onto the blockchain, transforming gold entitlements into digital tokens that can be held in on-chain wallets.

Tokenized assets for crude oil, agricultural products, and emerging categories like energy and computing power have an extremely low market share, and the industry is still in its infancy.

Looking at the distribution across underlying public blockchains, the tokenized asset ecosystem is more diverse. Ethereum, leveraging its DeFi first-mover advantage and institutional adoption foundation, remains the leader, hosting assets worth $15.7 billion, accounting for over half of the market.

The rest of the tokenized asset market is dispersed across multiple public chains: BNB Chain has a tokenized asset market size of about $4 billion, Solana about $2.2 billion, Stellar about $1.7 billion, the Bitcoin sidechain Liquid Network about $1.5 billion, while XRP Ledger, ZKsync Era, and Arbitrum each have tokenized asset sizes close to $1 billion.

The tokenized asset industry is not consolidated on a single public chain. Assets are distributed across major blockchain ecosystems based on transaction costs, liquidity, regulatory requirements, and business partnerships. However, the most telling data point is not the market size of tokenized assets... but how these assets are used.

Let's delve deeper—

Most Tokenized Assets Are Not Yet "Composable"

Market size is not the only key metric; the actual utility value of assets is more indicative.

Bonds are the largest category of tokenized assets by market cap, valued at $15.2 billion, but only 5% of the circulating supply is used in DeFi protocols, approximately $800 million. The utilization rate of tokenized precious metals is similarly low. Most tokenized assets are used merely for on-chain storage and have not yet become freely combinable, interconnected, reusable financial building blocks.

Smaller tokenized asset categories show a starkly different picture: tokenized reinsurance contracts, with a market cap of $362 million, have an on-chain protocol usage rate as high as 84%; private credit tokens have a usage rate of 33%. These two categories were designed from the outset to fit composable on-chain application scenarios. In contrast, top categories like Treasuries and gold are primarily positioned to simplify holding and transferring assets on-chain without altering their fundamental operational logic. This situation also highlights a core divergence within the tokenized asset industry: the degree of on-chain nativity varies greatly among different tokenized assets.

Some assets can be freely transferred and used across chains, while others merely use blockchain as an accounting tool, with limited asset transfer and composability functions. Currently, most tokenized assets are essentially just digitized assets, merely moving ledgers on-chain without unlocking composability potential. Composability is the core value of on-chain finance and a key to upgrading the financial system.

The Pantera Capital Token Native Index shows that over 70% of tokenized assets have the lowest level of on-chain nativity. A large number of tokens are merely digital certificates for offline physical assets, with actual asset control still relying on offline ledgers and intermediaries.

Currently, the tokenized asset industry is still in its early stages of development: one type is digitally recorded assets that are only formally on-chain, and the other is native on-chain assets that deeply integrate with blockchain properties.

The technical infrastructure for on-chain composition is already in place, and asset categories are gradually enriching, but deep integration and application are just beginning.

Future Trends for Tokenized Assets

Industry predictions for the long-term size of the tokenized asset market vary, but the overall consensus is that the market will continue to expand.

  • McKinsey predicts the tokenized asset market will reach $2-4 trillion by 2030.
  • Ark Invest estimates the tokenized asset market could be $1.1 trillion.
  • Boston Consulting Group (BCG) in partnership with Ripple calculates the tokenized asset market will reach $0.94 trillion by 2030 and climb to $1.89 trillion by 2033.
  • Standard Chartered forecasts the tokenized asset market could exceed $3 trillion by 2034.

Based on the above estimates, compared to the current market size of $34 billion, the tokenized asset market has potential for hundred-fold growth in the long term. Of course, the numerical differences don't stem from disagreements about adoption speed, but from different scopes of what is being measured. Each institution's statistical scope differs, covering varying asset classes, whether stablecoins and deposits are included, and the definitional boundaries of tokenization. For example: McKinsey focuses on bonds, credit, funds, and equities; Standard Chartered adds commodities and trade finance; BCG and Ripple additionally include deposits and stablecoins. Although statistical methods differ, the industry unanimously agrees that the scale of tokenized assets will see leapfrog growth.

Looking at the global financial landscape, the current size of tokenized assets remains minuscule.

  • Global bond market size exceeds $140 trillion; tokenized bonds are only $15.2 billion, accounting for 0.01%.
  • Global physical gold market cap reaches several trillion dollars; tokenized gold is $5 billion, accounting for less than 0.02%.
  • Global equity market cap exceeds $100 trillion; tokenized stocks are $1.5 billion, accounting for only 0.001%.

Today, emerging sectors have steadily taken shape. Assets with clear pricing, stable demand, and simple ownership like U.S. Treasuries, gold, and private credit have been the first to go on-chain. Currently, tokenization has not yet disrupted the underlying nature of assets; it mainly optimizes settlement and transfer methods. The deep integration of assets with digital financial systems is still being explored.

Currently, tokenized assets remain more at the digitization level, where assets struggle to achieve programmable, composable applications. The industry's next phase faces hard challenges: bringing more complex parts of the financial system on-chain and integrating tokenized assets more deeply into composable, internet-native financial infrastructure.

Related Questions

QAccording to the article, what is the current approximate market size of tokenized assets (excluding stablecoins), and what is the primary driver behind its recent explosive growth?

AThe current market size of tokenized assets is approximately $34 billion. The primary driver of its recent explosive growth (a 10x increase in less than two years) is the tokenization of US Treasuries.

QWhat are the two main categories of tokenized assets that dominated the market share at the beginning of 2024, and which category currently holds the largest share within the tokenized commodities sector?

AAt the beginning of 2024, US Treasuries and commodities dominated the market share. Within the tokenized commodities sector, gold tokens currently hold the vast majority share, accounting for around $5 billion of the roughly $5.1 billion total.

QThe article states that most tokenized assets currently lack a key property. What is this property, and why is its absence significant for the evolution of the financial system?

AThe key property most tokenized assets currently lack is composability. Its absence is significant because composability is the core value of on-chain finance and a key to upgrading the financial system. While many assets are simply 'digitized' on-chain, they are not yet programmable financial 'Lego blocks' that can be freely combined and reused in DeFi protocols.

QWhat does the Pantera Capital Token Native Index reveal about the majority of tokenized assets regarding their level of 'on-chain nativity'?

AThe Pantera Capital Token Native Index reveals that over 70% of tokenized assets are at the lowest level of on-chain nativity. This means the majority are merely digital representations of off-chain assets, with the actual control and settlement still reliant on traditional off-chain ledgers and intermediaries.

QWhat is the fundamental difference between how tokenized US Treasuries/gold are currently used and how niche assets like reinsurance tokens are used, according to the article?

ATokenized US Treasuries and gold are primarily used for simplified on-chain holding and transfer, essentially just moving accounting ledgers to the blockchain. In contrast, niche assets like reinsurance tokens and private credit tokens are designed from the start for on-chain composable applications, resulting in a very high rate of use within DeFi protocols (e.g., 84% for reinsurance tokens).

Related Reads

AI PC Battle: Bet on the Toll Booth, Not the Camp

**Title:** The AI PC Battle: Don't Bet on Sides, Bet on the Tollbooth **Summary:** The AI PC competition is moving beyond simple "x86 vs. Arm" narratives. The core investment thesis should focus on identifying which players can sustain margins, cash flow, and pricing power throughout the upgrade cycle, rather than backing a particular architecture. The opportunity is analyzed in three layers: 1. **The Advanced Foundry Tollbooth:** TSMC is positioned to collect "tolls" regardless of which chip designer wins, due to its dominant ~70% share in advanced semiconductor manufacturing, which is essential for high-end AI PC chips. 2. **Compute & Platform Spillover:** AMD represents an offensive in the x86 CPU+GPU space, while NVIDIA leverages its GPU and CUDA software stack dominance. Both benefit from the demand for increased local AI compute. 3. **Architecture Diffusion & Turnaround Plays:** ARM and Intel offer potential for significant upside (elasticity), but investments here require stricter discipline due to higher execution risks and competitive challenges. The industry is transitioning from concept to shipment validation. While short-term forecasts for AI PC adoption have been revised down slightly due to tariffs and procurement delays, the long-term trend towards AI becoming a standard PC feature remains intact. The key driver for upgrade cycles will be whether compelling enterprise applications (e.g., privacy-sensitive computing, low-latency inference) emerge beyond consumer-focused features like meeting summarization. Investment strategy should prioritize companies with platform-level advantages and recurring revenue streams. TSMC offers high certainty as the foundational tollbooth. AMD presents a strong offensive play within the established ecosystem. ARM and Intel are higher-risk, higher-potential-reward turnaround bets. The report cautions against chasing short-term hype and emphasizes a disciplined, long-term approach focused on buying ecosystem strength and cash-flow certainty after market enthusiasm subsides. **Key Risks:** Underwhelming AI PC applications slowing upgrade cycles; slow improvement in Windows on Arm compatibility; macro/tariff impacts on PC demand; potential advanced node supply-demand mismatches affecting TSMC; high overall AI sector valuations making stocks vulnerable to a risk-off shift in markets.

marsbit3m ago

AI PC Battle: Bet on the Toll Booth, Not the Camp

marsbit3m ago

Ten-Thousand-Word Analysis: From $10 to $290, MRVL Wins the Entire AI Era by 'Not Making GPUs'

Marvell Technology's stock price surged from under $10 in 2016 to a record $290 in June 2026, fueled not by making GPUs, but by dominating AI infrastructure connectivity. This analysis argues the market misvalues MRVL as merely a smaller Broadcom in custom AI chips, overlooking its true, unique position. Marvell's core strength lies in enabling high-speed data flow for AI clusters through three interconnected businesses. First, it holds a commanding ~70% market share in high-speed optical DSPs (essential for data center light modules), a deep-moat business with accelerating growth. Second, its custom AI chip design business serves hyperscalers like AWS, Microsoft, and Google, with a significant revenue pipeline despite lower margins. Third, stable cash flows come from Ethernet switch chips and enterprise storage controllers. Together, they form a full-stack "AI data movement" platform. CEO Matt Murphy's transformative leadership since 2016, involving strategic divestments, key acquisitions (like Inphi for optical DSPs), and securing long-term agreements with major cloud providers, repositioned the company. A pivotal $2 billion strategic investment from NVIDIA in 2026 underscored Marvell's critical role in the AI ecosystem, particularly through collaborations like NVLink Fusion. While Marvell faces risks—including client concentration (losing the Amazon Trainium3 design), lower-margin business mix, competitive threats, insider selling, and complex supply chains—its fundamentals remain strong. The optical interconnect moat is widening with the acquisition of Celestial AI (photonics fabric), and financial metrics show accelerating revenue growth and operating leverage. With a PEG ratio suggesting undervaluation relative to its growth, the thesis is that the market undervalues Marvell's monopolistic position in AI "plumbing" while overemphasizing its competitive custom chip segment. The story transcends investing, symbolizing how in any complex system—from the internet to AI—the value of "connection" ultimately surpasses that of individual "nodes."

marsbit33m ago

Ten-Thousand-Word Analysis: From $10 to $290, MRVL Wins the Entire AI Era by 'Not Making GPUs'

marsbit33m ago

AI Relay Stations Spark Heated Debate on Zhihu: Behind Cheap Tokens, What Are Users Really Worried About?

A discussion on Zhihu about "AI relay stations" shifted the niche developer topic of "cheap tokens" into broader user awareness. Users moved beyond simply questioning the legitimacy of these services to focus on practical concerns: Where do cheap tokens truly come from? Is the model being accessed the real one? Can relay stations see prompts, code, and API keys? For occasional users, are the risks worth it? The core debate centered less on price and more on trust. A primary worry is model authenticity—the risk of "model swapping," where users paying for a premium model might be routed to a cheaper one, creating an information asymmetry. Others argued that cost comparisons matter; while cheaper than official pay-as-you-go APIs, relay stations may not be the lowest-cost option versus subscriptions, domestic models, or free tiers, making user needs assessment crucial. Speculation about token sources ranged from legitimate bulk discounts to gray-area methods like account sharing or exploiting regional pricing. This opacity makes risk assessment difficult for users. Data security emerged as a critical concern, especially for enterprise use. When processing sensitive information like code, contracts, or client data, the inability to verify a relay station's data handling, retention, or access policies poses significant compliance and confidentiality risks. The evolving consensus suggests relay stations can be used cautiously for low-sensitivity, disposable tasks (e.g., summarizing public info, simple translation). However, they should not be the default for sensitive, professional, or production workflows involving proprietary data, Agents, or automated systems. Recommendations include avoiding large prepayments, not relying on a single service, using test prompts to monitor quality, anonymizing data where possible, and keeping official channels as backups. Ultimately, the discussion framed tokens not just as a billing unit but as a measure of real cost encompassing price, model integrity, data security, and service stability. The popularity of relay stations highlights user demand for affordable access, but the debate underscores a key trade-off: the savings from cheap tokens may come at the price of trust, transparency, and control over one's data and AI experience.

marsbit1h ago

AI Relay Stations Spark Heated Debate on Zhihu: Behind Cheap Tokens, What Are Users Really Worried About?

marsbit1h ago

In-Depth Research Report on TradFi: The Convergence Wave of Crypto and Traditional Finance

In 2026, the crypto industry is undergoing a profound infrastructure-level transformation—TradFi assets are migrating on-chain at an unprecedented pace. According to CoinGecko's Q1 2026 report, the total value locked (TVL) of tokenized real-world assets (RWA) has surpassed $31 billion, a nearly 4x increase from $7.8 billion at the beginning of 2025, with the sector’s aggregate market capitalization reaching $19.3 billion. Among these, the market cap of tokenized stocks surged from $2 million to $486 million, with Q1 spot trading volume reaching $15.1 billion—a single quarter already surpassing the entire second half of 2025. RWA perpetual contract Q1 trading volume reached a staggering $524.8 billion, far exceeding the $313 billion for all of 2025. Meanwhile, BlackRock's BUIDL fund has reached $2.3 billion in scale and has filed for two new tokenized funds, signaling that the world's largest asset manager's tokenization strategy is evolving from pilot to product suite expansion. HTX, as a core participant in the crypto exchange sector, officially launched TradFi perpetual futures products including NVDA, AAPL, MSFT, META, and SPY in 2026, enabling crypto users to gain 24/7 trading access to core U.S. equities. Boston Consulting Group predicts that global tokenized asset scale could reach $16 trillion by 2030, while McKinsey offers a conservative estimate of approximately $2 trillion. The on-chain migration of TradFi assets is no longer a "future narrative" but a structural transformation unfolding in real time, as crypto exchanges evolve from single crypto asset trading platforms toward "multi-asset-class trading infrastructure."

HTX Learn1h ago

In-Depth Research Report on TradFi: The Convergence Wave of Crypto and Traditional Finance

HTX Learn1h ago

Trading

Spot
Futures
活动图片