We are living through the largest misallocation of capital in economic history. Intangible assets — software, data, brands, patents, customer relationships, organisational know-how — constitute the majority of global corporate value. Yet the financial infrastructure designed to value, trade, lend against, and insure those assets remains in its infancy. The gap between the intangible economy and the financial system that serves it is the defining market failure of our era.
That gap is closing. Not gradually, but in an accelerating convergence of technology, regulation, and institutional adoption that will reshape capital markets over the next decade. Having spent 25 years building technology for financial markets at IG Group, I have witnessed how quickly capital markets infrastructure can evolve once the enabling conditions align. Those conditions are aligning now for intangible finance.
This article maps the landscape: the market as it stands, the instruments emerging, the technologies enabling them, and the opportunities for companies, investors, and institutions that position early.
Intangible finance is moving from niche to mainstream. The convergence of AI-powered valuation, tokenisation infrastructure, regulatory recognition, and institutional demand will create a multi-trillion-pound market within the next decade. The companies and investors that build capability now will have first-mover advantage.
Global intangible asset value is estimated at approximately $65 trillion — a figure that has more than tripled in the past two decades. The intangible finance market — encompassing IP-backed lending, patent licensing, brand royalty securitisation, and revenue-based financing — totals approximately $150 billion. That is a penetration rate of less than 0.25%.
Compare this to real estate, where the mortgage market alone represents approximately 45% of the underlying asset value. Or to equipment finance, where lease penetration exceeds 30% of the addressable market. By any benchmark, intangible asset finance is vastly underpenetrated.
The gap exists not because the opportunity is small but because the infrastructure is immature. Valuation methodologies, legal frameworks, secondary markets, and risk management tools all need to develop before intangible finance can achieve penetration rates comparable to physical asset finance.
The single biggest barrier to intangible finance has been valuation uncertainty. Without credible, consistent, and scalable valuations, lenders cannot price risk and investors cannot make allocation decisions.
Artificial intelligence is transforming this landscape. Machine learning models trained on millions of patent transactions, licensing agreements, brand licensing data, and company financials can now produce intangible asset valuations that are faster, more consistent, and more transparent than traditional expert-driven approaches.
Opagio's Valuator uses structured analytical frameworks to assess intangible assets across multiple categories — from intellectual property to customer relationships to data assets. By providing consistent, methodology-driven valuations at scale, platforms like this are building the valuation infrastructure that intangible finance requires.
The implications are profound. When intangible asset valuations become as routine and standardised as real estate appraisals, the lending market can expand by orders of magnitude.
Tokenisation — representing ownership of an asset as a digital token on a distributed ledger — is creating new possibilities for intangible asset trading and financing.
Patent portfolios can be fractionalised into tokens, allowing multiple investors to hold partial ownership. Brand licensing rights can be tokenised, creating liquid instruments from traditionally illiquid royalty streams. Data access rights can be represented as tokens with programmatic access controls.
The tokenisation market for real-world assets is projected to reach $16 trillion by 2030 (BCG and ADDX estimates). Intangible assets are a natural fit because they are already digital, they can be fractionalised without physical division, and they benefit most from the liquidity that tokenisation provides.
Tokenisation does not solve the fundamental challenges of intangible asset valuation and enforcement. A tokenised patent is still only as valuable as the underlying patent, and a tokenised data access right still requires governance and regulatory compliance. Tokenisation is an infrastructure layer, not a value-creation mechanism.
The 2025 revision to the System of National Accounts — the global framework for measuring economic output — formally recognises data as a produced non-financial asset. This is the statistical equivalent of data being "born" as an asset class.
The implications cascade through the system. If data is an asset, it can appear on balance sheets. If it appears on balance sheets, it can serve as collateral. If it can serve as collateral, it can be financed. The data governance frameworks, valuation methodologies, and lending structures are all developing in parallel.
Singapore, South Korea, and the European Union are leading the regulatory development. Singapore's IP Financing Scheme has been extended to cover data assets. South Korea's Data Valuation Framework provides standardised methodologies. The EU Data Act establishes rights and obligations that create the legal foundation for data as a transferable, financeable asset.
IP insurance is evolving from a niche product into a critical enabler of intangible finance. Three types of coverage are developing:
| Insurance Type | Coverage | Use in Finance |
|---|---|---|
| IP validity insurance | Covers defence costs if patents are challenged | De-risks patent collateral for lenders |
| IP value insurance | Covers decline in IP value below a floor | Provides collateral protection, enabling higher advance rates |
| IP enforcement insurance | Covers costs of enforcing IP rights against infringers | Preserves collateral value by ensuring the IP can be defended |
When combined with IP-backed lending structures, insurance effectively converts the high-variance risk of intangible collateral into a lower-variance, insured risk that mainstream lenders can accommodate. The insurance premium becomes a cost of accessing cheaper, larger debt facilities.
Multiple regulatory initiatives are converging to create a more favourable environment for intangible finance.
The Basel Committee's research on knowledge economy lending may eventually lead to reduced risk weights for intangible-backed loans. The IASB's research project on intangible asset accounting could expand the range of intangible assets recognised on balance sheets. Tax policy developments — including the expansion of R&D tax credits and patent box regimes — are increasing the tax-deductible value of intangible assets.
The pace of regulatory change is slower than the market demands, but the direction is unambiguous. Every major regulatory body is moving toward greater recognition of intangible assets, and the financial infrastructure will follow.
Institutional investors — pension funds, sovereign wealth funds, insurance companies — are actively seeking exposure to intangible assets as a diversification strategy. Intangible assets offer return characteristics that are distinct from traditional asset classes: they are less correlated with physical asset cycles, they can appreciate with use (unlike physical assets that depreciate), and they benefit from network effects.
Dedicated intangible asset funds are emerging to meet this demand. Patent royalty funds, brand licensing funds, and software revenue funds are raising institutional capital to invest directly in intangible asset cash flows. As these vehicles demonstrate track records, institutional allocation will accelerate.
Institutional investors are beginning to treat intangible assets as a distinct asset class. As dedicated funds establish track records and standardised valuation/reporting frameworks mature, institutional allocation to intangible assets will grow substantially — potentially reaching $1T+ in assets under management by 2035.
The global nature of intangible assets — a patent filed in multiple jurisdictions, a brand licensed worldwide, software deployed globally — creates opportunities for cross-border intangible finance that physical asset finance cannot match.
A company's IP portfolio can serve as collateral in the jurisdiction with the most favourable lending framework, while the IP itself generates value globally. This jurisdictional flexibility, managed properly under transfer pricing rules, enables capital structure optimisation that is unique to intangible assets.
Several new financial instruments are being designed specifically for intangible assets.
| Instrument | Maturity | Description | Target Users |
|---|---|---|---|
| IP-backed senior notes | Established | Debt secured by patent/IP portfolios | IP-heavy companies, PE funds |
| Revenue royalty notes | Developing | Debt backed by recurring revenue royalties | SaaS, licensing businesses |
| Data access bonds | Nascent | Debt secured by data licensing revenue | Data companies, AI firms |
| Intangible asset ETFs | Developing | Funds tracking intangible-intensive companies | Retail and institutional investors |
| Patent royalty trusts | Established | Trust structures holding patent licensing income | Patent holders, universities |
| Brand licensing ABS | Developing | Securitised brand royalty streams | Consumer brands, entertainment |
| Knowledge capital options | Theoretical | Options on intangible asset portfolios | Hedging, speculation |
Near-term (2026-2028): IP-backed lending matures, revenue-based financing scales, AI-powered valuation becomes standard, first rated intangible-backed securities issued.
Medium-term (2028-2032): Data-backed lending becomes established, tokenisation infrastructure enables fractional intangible ownership, institutional funds achieve meaningful AUM, regulatory frameworks updated.
Long-term (2032-2040): Intangible finance achieves 5-10% penetration (from current 0.25%), secondary markets for intangible assets reach meaningful liquidity, Basel framework incorporates intangible collateral recognition.
The first companies to benefit from intangible finance will be those that have already invested in making their intangible assets visible, valued, and governed. This means comprehensive intangible asset identification, independent valuation, and robust IP governance.
The companies that treat this as a future problem will find themselves behind when the financing market matures. The infrastructure of intangible asset management — identification, classification, valuation, documentation — takes years to build. Start now.
As the intangible finance market develops, companies will have a menu of financing options that does not exist today. IP-backed lending, revenue-based financing, securitisation, tokenisation, and data-backed facilities will each serve different capital needs and risk profiles.
Understanding which of your intangible assets are suitable for which instruments — and structuring your IP governance accordingly — is a strategic planning exercise that pays dividends when the market arrives.
Of all the emerging intangible asset classes, data is the one with the fastest-developing financing infrastructure. Companies that invest in data governance, data cataloguing, and data valuation now will be positioned for data-backed financing as the market matures.
Investors who can evaluate intangible assets — not just the companies that hold them, but the assets themselves — will have a structural advantage. This means understanding intangible asset valuation methodologies, IP legal frameworks, and the commercial dynamics of different intangible asset classes.
The Opagio academy provides structured learning for investors building this capability, covering valuation methods, legal frameworks, and practical applications across asset classes.
In M&A, the tax amortisation benefit is becoming a competitive differentiator. Investors who systematically include TAB in acquisition models will consistently outperform those who treat it as an afterthought. As intangible assets grow as a share of enterprise value, the TAB's impact on deal economics grows proportionally.
As dedicated intangible asset investment vehicles emerge — patent royalty funds, brand licensing funds, software revenue funds — investors should evaluate whether direct exposure to intangible asset cash flows offers diversification and return benefits that cannot be achieved through equity ownership of intangible-heavy companies.
Governments and regulators have a critical role in enabling intangible finance.
Accounting standards reform. The current IAS 38 framework, which prohibits recognition of many internally generated intangible assets, creates a systematic understatement of corporate value that constrains lending. The IASB's research project should result in expanded recognition criteria that bring more intangible assets onto balance sheets.
Prudential regulation. Basel risk weight frameworks should be updated to reflect the economic characteristics of intangible-backed lending. Pilot programmes — similar to the regulatory sandboxes used for fintech innovation — could allow banks to experiment with intangible collateral under controlled conditions.
Tax policy. Expanding tax amortisation regimes, R&D tax credits, and patent box schemes increases the tax-deductible value of intangible assets, which directly enhances the economics of intangible finance.
Data regulation. Clear, balanced data regulation — protecting individual rights while enabling legitimate commercial use — creates the legal foundation for data-backed finance. The EU Data Act is a positive step; other jurisdictions should follow.
The risk of over-financialisation is real. The 2008 financial crisis demonstrated what happens when financial innovation outpaces risk management. Intangible finance must develop with robust valuation standards, transparent risk assessment, and prudent regulation — or it risks repeating the mistakes of mortgage-backed securities with an even more complex underlying asset class.
The future of intangible finance is not a matter of if but when and how fast. The economic logic is overwhelming: the most valuable assets in the global economy should be financeable, tradeable, and investable. The current state — where less than 0.25% of intangible asset value is addressed by financial instruments — is an anomaly that the market will correct.
The question for each participant is how to position for that correction. Companies should invest in intangible asset visibility and governance. Investors should build intangible asset evaluation capability. Lenders should develop intangible collateral frameworks. Regulators should update prudential and accounting standards. And everyone should watch the technology — particularly AI-powered valuation and tokenisation — that is accelerating the timeline.
The infrastructure for the intangible economy is being built. It is being built now. And it will reshape capital allocation as profoundly as the securitisation revolution reshaped real estate finance in the 1980s.
Whether you are a company seeking to unlock the value of your intangible assets, an investor evaluating intangible-heavy businesses, or a PE firm optimising portfolio capital structures — the starting point is the same: understand what you have. Use Opagio's Questionnaire to identify your intangible assets, the Valuator to quantify their value, and the Calculator to model the financial implications. The future of intangible finance starts with visibility.
Ivan Gowan is founder and CEO of Opagio. With 25 years in financial technology, including a decade leading technology and operations at IG Group (FTSE 250), Ivan brings deep operational experience in building the technology infrastructure that financial markets depend on. Meet the team.
A comprehensive guide to using intellectual property as loan collateral. Covers IP holdco structures, patent-backed lending, valuation requirements, and practical steps for founders and PE firms seeking capital-efficient growth financing. Abstract visualization of intellectual property assets connected to financial lending structures with warm accent colours
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