The most successful alternative asset managers will be transparent, connected, and efficient. This new research confirms that most firms are not there yet.
While private capital leaders overwhelmingly believe their data is extremely valuable, the majority admit their firms operate with low data maturity, fragmented systems, heavy Excel dependence, and limited AI readiness.
Based on interviews with 102 private equity, private credit, and venture capital firms across the U.S., Canada, UK, and Benelux, this study uncovers the operational and technology decisions that are shaping 2026 and beyond.
Key Findings
- The data indicates that firms are increasingly prioritizing fundraising and advanced technology to strengthen their competitive position going into 2026.
- Higher data maturity and AI adoption correlate with stronger performance, making operational capability a financial differentiator.
- Demand for benchmark data is rising as firms seek clearer performance evaluation and stronger LP reporting.
- Most firms still lack mature data strategies, operating with fragmented, poorly integrated systems.
- AI adoption remains constrained by data maturity, system integration challenges, and expertise.
Download the full report to access these insights and more.
“We spend far too much time on manual processes that should be automated. Once data is organized, the real opportunities for AI and machine learning begin.”
– GP Respondent
Note: The respondent quote has been cleaned up slightly while retaining original meaning.
