Private capital markets have become a core component of institutional and wealth portfolios, offering investors a compelling value proposition that includes historically enhanced returns, diversification benefits, access to innovation, active value-creation opportunities, lower volatility, and potential inflation protection—advantages not always available in public markets.
These benefits, however, come with meaningful trade-offs. Compared to public markets, private investments typically involve limited accessibility, reduced liquidity, lower transparency, higher fees, larger tax implications, and significant minimum investment requirements. Investors have accepted these constraints as the price of access.
What’s changed is the scale.
Despite these structural frictions, investor demand continues to accelerate. Private market assets under management reached approximately $15 trillion in 2024, up from $11.87 trillion in 2023 and $10.89 trillion in 2022, and are projected to exceed $18 trillion by 2027.
However, while investors have significantly increased their private market investment allocations, the operating model that supports them is still not fully scalable.
Unlike public markets, where data is relatively standardized, timely, and systematically integrated, private market investing relies heavily on extracting data from documents, manual processes, and delayed reporting. As private market investment demand continues to grow and new vintage years are added, larger data-acquisition, extraction and workflow costs are incurred.
The Contradiction at the Heart of Private Markets
Wealth and institutional investors manage alternatives at scale, across many managers, custodians, administrators, tax-advantage accounts and fund structures, yet the raw inputs that power analytics and reporting often arrive as documents: PDFs, statements, capital account reports, fee schedules, notices, and ad hoc manager reporting packages.
That’s not just inefficient; it costs money and time to service.
Institutional expectations for consistent reporting, comparability, and transparency continue to rise. At the same time, the underlying source data is frequently delivered through fragmented portals and unstructured formats that require manual handling before it can be analyzed.
The industry has been trying to fix this for years through standardization efforts. The Institutional Limited Partners Association (ILPA) has published quarterly reporting guidance and templates intended to promote more uniform reporting practices and reduce inefficiencies in the reporting ecosystem. ILPA’s more recent template updates explicitly reflect “increased investor expectations for transparency” and a growing ecosystem of technology aimed at improving fund reporting.
Standard templates are important—yet templates alone don’t solve the daily reality that most private markets reporting still begins with documents and manual work.
Why “Manual” Is No Longer a Tolerable Default
When alternative allocations were smaller, manual collection and re-keying could be treated as an operational tax. On today’s scale, it becomes a business risk for advisors, institutional consultants and OCIOs.
Scalability and margin compression
As document volumes grow with AUM, manager count, and portfolio complexity, relying on people as the primary “integration layer” causes operating costs to rise linearly. For asset owners, this erodes efficiency. For consultants and service providers, it compresses margins and constrains growth.
Higher probability of errors
Manual data entry and mapping across formats naturally increases the risk of inconsistencies and errors. According to the CFA, the industry’s increased focus on governance, disclosure, and consistent reporting signals that the market recognizes these risks.
Timeliness becomes a portfolio and reporting issue
Regulatory frameworks continue to evolve, but the broader direction is clear: expectations for more frequent and more detailed reporting are increasing. Even where specific rules are debated or delayed, the underlying pressure for transparency remains. For example, the U.S. SEC’s private fund adviser information on quarterly statements includes explicit distribution timelines (e.g. 45/90 days depending on fund type and period). And while courts have struck down parts of the SEC’s 2023 private fund adviser rules (creating uncertainty about implementation), the public debate itself underscores the market’s emphasis on transparency and disclosure expectations.
The practical point remains: if critical documents arrive late or sit unprocessed, analysis and reporting are delayed. And in institutional environments, delays are rarely isolated; they compound across stakeholders and reporting cycles.
Transparency Is Becoming the Baseline Expectation
Private markets’ “opacity” has long been accepted as a tradeoff for access and returns. But investor tolerance for opacity is shrinking.
The CFA Institute’s commentary and survey work highlight transparency concerns in private markets, specifically around valuation reporting, performance measures, and fees. Regardless of where regulation ultimately settles, high net worth & institutional investors and their advisors are clearly signalling the direction: better governance, better disclosures, and more defensible reporting.
This is where the data operating model matters. If the underlying data supply chain is manual and fragmented, achieving transparency goals consistently becomes harder.
What “Modern” Actually Looks Like: the Alternatives Data Lifecycle
A modern private markets data model isn’t “a better spreadsheet.” It’s an end-to-end lifecycle:
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Collect documents directly from manager sources/portals
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Extract data from those documents (structured + unstructured)
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Validate the data (quality checks, reasonableness, exceptions)
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Ingest analytics-ready data into the system of record
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Analyze performance, multiples, and peer groups
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Report in standardized and client-specific formats
The presence of ILPA templates is a strong signal that LPs want outputs that are consistent and comparable. The next step is to implement the upstream automation: collection, extraction, and validation, at industrial-grade levels.
Not surprisingly, asset owners are increasingly pursuing advanced technology to deal with alternatives complexity and to consolidate across many information sources.
The bottom line
Private markets have institutionalized. That’s no longer debatable.
What’s still catching up is the data foundation, how information moves from documents to analysis to reporting. And as portfolios grow, governance expectations rise, and transparency becomes table stakes. The firms that modernize the alternatives data lifecycle will be the ones best positioned to scale.
