AI and data science in private equity and venture capital are increasingly transforming these sectors, enhancing decision-making, operational efficiency, and investment strategies.
AI and Data Science in Private Equity
In the PE landscape, AI adoption is gaining momentum. Approximately 64% of PE firms are now utilizing AI in portfolio operations, with firms like EQT leading the way. EQT’s “Motherbrain” platform, for instance, has been instrumental in sourcing significant deals, such as a $2.2 billion technology acquisition. AI tools have been shown to reduce operational costs by 25%, decrease manual data processing time by 40%, and increase deal evaluation capacity by 25%.
AI and Data Science in Venture Capital
In the VC realm, AI is a focal point for investment. In the first quarter of 2025, 71% of venture capital commitments were directed toward AI startups, up from 62% the previous quarter. Firms like Titanium Ventures have leveraged AI to identify high-potential investments, achieving notable returns. Their proprietary AI tools have pinpointed companies such as BuildOps and LambdaTest, contributing to an impressive 17% internal rate of return (IRR).
Adoption Rates and Future Outlook
While adoption rates vary, studies indicate a growing trend. By the end of 2023, less than 10% of private funds had implemented AI in core functions. However, projections suggest that up to 25% of PE firms will integrate AI into portfolio valuations within the next five to seven years . Similarly, a Gartner study forecasts that by 2025, over 75% of VC executive reviews will be informed using AI and data analytics.
AI and data science in private equity and venture capital are no longer optional—they are becoming essential tools for staying competitive. As adoption continues to rise, firms that leverage these technologies effectively will likely lead in identifying opportunities, optimizing operations, and delivering superior returns.
