Chapter 3
The Future of Digital Asset Infrastructure: Innovation, Scalability & Interoperability
The world of digital assets stands at a critical juncture, with innovative infrastructure emerging as both a catalyst and constraint for broader adoption. As digital assets gain mainstream traction, fundamental gaps in interoperability, settlement systems, and payment mechanisms are inhibiting operational efficiency and market maturity.
Our survey respondents identified limited interoperability between blockchain platforms (45%) and the absence of robust on-chain settlement systems (45%) as the most pressing challenges. These issues hinder seamless data and asset transfers across networks, stifling innovation and undermining the potential for a unified financial system. An additional 43% of respondents emphasised the inefficiency of current payment rails, underlining the need for agile, digital-native cash solutions that enable real-time transactions.
Despite these challenges, organisational engagement with blockchain infrastructure is gaining momentum. Nearly half (45%) of our respondents indicated that their firms are actively exploring blockchain solutions, while 31% have already achieved partial integration with plans for further expansion. Notably, none of the respondents reported having no plans for integration—an indicator of widespread institutional interest in leveraging blockchain for competitive advantage.
The journey to unlocking the full potential of digital asset infrastructure, however, remains fraught with obstacles. Regulatory uncertainty continues to loom large, with one-third of respondents (33%) citing it as the primary barrier to development. This sentiment reinforces the urgency for clear, harmonised regulatory frameworks to support innovation without compromising compliance. In parallel, insufficient institutional-grade custody and security solutions (31%) persist as critical concerns, especially as digital assets demand the same—or greater—levels of protection as traditional financial instruments.
Real-world implementations provide further insight into how firms are navigating these complexities. Several organisations are piloting on-chain settlement strategies, from trade finance applications that enhance traceability and mitigate fraud, to hybrid models that combine on-chain trade execution with off-chain cash settlement for improved reconciliation. Others are experimenting through collaborations with regulatory sandboxes like the UK’s FMI initiative or Swiss DLT exchanges, aiming to balance compliance with scalability. These efforts underscore a strong industry drive to innovate while maintaining operational integrity and risk management.
Looking forward, institutional DeFi and AI will play a pivotal role in shaping the next phase of infrastructure development. DeFi offers opportunities for yield generation and automated asset management through smart contract vaults and programmable safeguards. Simultaneously, AI is being leveraged across multiple fronts: 67% of organisations are automating compliance tasks, while over half are developing predictive analytics tools and enhancing user engagement via intelligent digital interfaces. These trends highlight a dual focus on innovation and resilience, positioning digital asset infrastructure for a future defined by agility, security, and connectivity.

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Question 1: What do you consider the most critical infrastructure gaps that must be addressed to enhance efficiency and drive market maturity in the digital asset ecosystem?
Question 2: What role does institutional DeFi play in your digital asset strategy, and how do you evaluate opportunities in this space while addressing compliance and security?
Question 3: How is your organisation approaching on-chain settlement, and what benefits or challenges are you seeing in terms of operational efficiency and risk management?
Question 4: What do you see as the biggest challenges that must be overcome to unlock the full potential of digital asset infrastructure?
Question 5: How would you describe your organisation's current level of integration with blockchain technology?
Question 6: How is your organisation currently leveraging AI in relation to digital assets, blockchain infrastructure, or tokenisation initiatives? (select all that apply)
What do you consider the most critical infrastructure gaps that must be addressed to enhance efficiency and drive market maturity in the digital asset ecosystem?
(Select up to three options)
Limited interoperability between blockchain platforms and networks
Absence of robust on-chain settlement systems for faster transactions
Inefficient payment rails and digital cash solutions for seamless transfers
Fragmented market infrastructure causing operational inefficiencies
Lack of standardised protocols for tokenization and asset management
Insufficient institutional-grade custody solutions for secure asset storage
Inadequate tools for regulatory compliance and reporting
Lack of scalable and high-performance blockchain networks
High costs associated with technology implementation and scalability
A significant 43% of respondents identified the absence of robust on-chain cash solutions as a core barrier to advancing their digital asset strategies. This reflects a broader industry need for integrated, compliant settlement rails that can support tokenised transactions end-to-end.
Encouragingly, regulatory progress is underway. The forthcoming implementation of MiCA in Europe and the continued advancement of the U.S. Genius Act are set to unlock critical infrastructure in 2025, removing one of the biggest friction points and paving the way for greater adoption of digital assets and tokenised real-world assets.
Cassandra Cox, Director, Institutional Sales, LMAX Digital.


It was striking to see the high level of engagement around DeFi. The industry is clearly embracing the potential of smart contracts and verifiable credentials, not just as innovations, but as building blocks for the future of compliant, institutional-grade DeFi markets. The groundwork being laid today will be instrumental in shaping how decentralised finance evolves within regulatory frameworks.
Cassandra Cox, Director, Institutional Sales, LMAX Digital
What do you see as the biggest challenges that must be overcome to unlock the full potential of digital asset infrastructure?
Standardisation efforts for interoperability across platforms
Joint initiatives with regulators to create compliant frameworks
Partnerships between financial institutions and blockchain developers
Public-private partnerships to promote education and awareness of RWAs
How would you describe your organisation's current level of integration with blockchain technology?
Actively exploring blockchain solutions but not yet implemented
Partially integrated in select areas, with plans to expand further
Limited integration, focusing on pilot projects or proof-of-concept initiatives
Fully integrated across multiple business functions and use cases
How is your organisation currently leveraging AI in relation to digital assets, blockchain infrastructure, or tokenisation initiatives? (select all that apply)
Enhancing fraud detection, cybersecurity, and risk management across blockchain networks
Automating compliance and regulatory processes for crypto and tokenised asset operations
Developing AI-driven trading, market intelligence, or predictive analytics tools for digital assets
Improving user experiences through personalisation, chatbots, or AI-powered digital interfaces
Supporting tokenisation, asset classification, or blockchain interoperability through AI applications
Exploring AI opportunities but not yet applying them operationally

The 58% developing AI-driven trading tools reflects institutional sophistication requirements for digital asset data. At Amberdata, we leverage AI extensively in research - from regime detection algorithms identifying market state changes to natural language processing analyzing unstructured data across social sentiment and protocol documentation. With 45% highlighting infrastructure gaps, the challenge lies in processing both structured on-chain data and unstructured market intelligence at scale. We have found that AI-enhanced research capabilities help institutions navigate this complexity by providing context-aware intelligence adapting to changing market conditions and emerging protocols.
Michael Marshall, Head of Research at Amberdata