Fragmentation drains up to $1.3B a year from tokenized assets: Report

cointelegraphPubblicato 2025-12-19Pubblicato ultima volta 2025-12-19

Introduzione

Fragmentation across blockchain networks is causing significant economic drain in the tokenized asset market, with inefficiencies costing up to $1.3 billion annually, according to a report from RWA.io. The lack of interoperability traps liquidity and prevents capital from moving freely, causing identical or economically equivalent real-world assets (RWAs) to trade at price differences of 1% to 3% across different chains. These inefficiencies hinder arbitrage and price discovery. Additionally, moving capital between chains results in transaction losses of 2% to 5% due to fees, slippage, and operational risks. If unresolved, these issues could escalate to $30–75 billion in annual losses as the tokenized RWA market grows to an estimated $16–30 trillion by 2030. Despite these challenges, tokenized assets continue gaining adoption, with recent moves by companies like Securitize and Coinbase to launch onchain stock trading.

Fragmentation across blockchain networks is already imposing a measurable economic cost on the tokenized asset market, with inefficiencies translating into up to $1.3 billion in annual value drag.

In a report sent to Cointelegraph, real-world asset (RWA) data provider RWA.io argued that while blockchains accelerated innovation, they also created walls that trap liquidity and prevent capital from moving freely across networks.

As a result, tokenized RWAs have increasingly behaved like disconnected markets rather than a single, unified financial system. The research found that identical or economically equivalent assets routinely trade at different prices across chains, while moving capital between networks remained costly and complex.

Researchers stated that these inefficiencies hinder the market’s ability to self-correct through arbitrage, a mechanism that facilitates efficient price discovery.

“This fragmentation is the single greatest impediment to the market realizing its multi-trillion-dollar potential,” said Marko Vidrih, co-founder and chief operating officer at RWA.io.

“In traditional finance, the EU-wide SEPA Instant mandate shows how value can move across accounts in seconds. Tokenized assets should be just as frictionless,” Vidrih added.

RWA market growth from 2020 to 2025. Source: RWA.io

Price inefficiencies and capital friction across chains

The report states that one of the most obvious consequences of fragmentation is the persistent price divergence for identical assets issued on different blockchains.

According to the report, economically identical tokenized assets often trade at spreads of 1% to 3% across major networks, despite representing claims on the same underlying assets. In traditional finance, arbitrage would quickly eliminate such market gaps.

However, crosschain arbitrage remains unviable due to technical hurdles, fees, delays and operational risks, the report claims. It states that the costs to relocate assets often exceed the price discrepancy, allowing inefficiencies to persist.

Beyond price discovery, RWA.io estimated that moving capital between non-interoperable chains results in losses of 2% to 5% per transaction. This is because of exchange fees, slippage, transfer costs, gas fees and timing risks. In aggregate, the report models an average loss of about 3.5% per capital reallocation.

Should these fragmentation patterns persist, RWA.io estimated that the friction costs could drain between $600 million $1.3 billion from the market annually.

Economic costs of market fragmentation. Source: RWA.io

RWA.io projects that tokenized real-world assets could grow into a $16 trillion to $30 trillion market by 2030, and warns that if current inefficiencies persist, the associated value drag would scale with it.

Applying today’s fragmentation-related frictions to a market of that size implies potential annual losses of $30 billion to $75 billion, turning infrastructure shortcomings into a material constraint on long-term growth.

Related: Tokenized stocks may be onchain, but the SEC still wants the keys

Tokenized assets gain traction despite inefficiencies

Despite claims of inefficiency, tokenized assets continue to gain traction across both crypto-native platforms and traditional financial institutions. Just this week, companies have made moves to tokenize equities.

On Tuesday, RWA-focused company Securitize announced plans to launch compliant, onchain stock trading.

On Thursday, crypto exchange Coinbase launched a stock trading feature, allowing users to invest directly in stocks through its application.

Magazine: Koreans ‘pump’ alts after Upbit hack, China BTC mining surge: Asia Express

Domande pertinenti

QWhat is the estimated annual economic cost of fragmentation on the tokenized asset market according to the RWA.io report?

AThe report estimates that fragmentation drains between $600 million and $1.3 billion from the tokenized asset market annually.

QWhat is identified as the 'single greatest impediment' to the tokenized asset market reaching its multi-trillion-dollar potential?

AFragmentation across blockchain networks is identified as the single greatest impediment to the market realizing its multi-trillion-dollar potential.

QWhat is the typical price spread for identical tokenized assets trading on different blockchains?

AEconomically identical tokenized assets often trade at spreads of 1% to 3% across major blockchain networks.

QWhy does cross-chain arbitrage fail to correct price inefficiencies in the tokenized asset market?

ACross-chain arbitrage remains unviable due to technical hurdles, fees, delays, operational risks, and the fact that the costs to relocate assets often exceed the price discrepancy.

QWhat is the projected size of the tokenized real-world asset market by 2030, and what could the associated losses be if fragmentation persists?

ARWA.io projects the market could grow to $16 trillion to $30 trillion by 2030. If current inefficiencies persist, the associated annual losses could scale to $30 billion to $75 billion.

Letture associate

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Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

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From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

In recent discussions, Vitalik Buterin has frequently emphasized the concept of "CROPS," a framework defining core values for Ethereum's development. CROPS stands for Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. Initially outlined in the Ethereum Foundation's "EF Mandate," it represents a commitment to user sovereignty, ensuring that the network resists external control, remains open, protects privacy, and prioritizes security. The relevance of CROPS extends beyond Ethereum's foundational principles, becoming crucial in the context of AI integration. As AI agents begin handling wallet operations and automated transactions, the risk increases that users may cede control over their digital assets, privacy, and intentions to centralized AI service providers. A "CROPS AI" would therefore emphasize local execution where possible, privacy-preserving remote model calls (e.g., using zero-knowledge proofs), and transparent, verifiable processes to maintain user agency. Vitalik highlights a significant convergence between "CROPS Ethereum access layer" and "CROPS AI." Both address the same fundamental challenge: how users can access powerful services—be it blockchain data via RPCs or AI models—without exposing sensitive information or relinquishing ultimate control. This intersection points toward a future digital entry point that is more private, secure, and user-controlled. Ultimately, CROPS is not merely an abstract ideal but a practical guidepost. It steers development—from protocol resilience and wallet design to AI agent safety—towards a future where users retain self-sovereignty even as digital systems grow more complex and powerful. In an era of accelerating AI adoption, these "slow variables" of censorship resistance, openness, privacy, and security may define Ethereum's enduring value.

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From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

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Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

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Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

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Token Inefficient, Economy Tokenless

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Token Inefficient, Economy Tokenless

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