
In the study, published in Drug Discovery Today, the authors surveyed 43 professionals working across venture capital and pharmaceutical business development to examine whether practitioners’ expectations around rare-disease assets align with established industry benchmarks.
The findings point to consistent miscalibration in several areas of rare-disease investing. Respondents frequently underestimated commercial launch performance and showed limited accuracy when assessing when rare-disease assets are most commonly acquired.
“Investment decisions are ultimately shaped by the underlying assumptions we have about an opportunity,” said Ilicki. “If those assumptions systematically differ from reality, investors risk making less accurate decisions and missing opportunities that they otherwise would have acted on.”
Key findings
The findings suggest that experience developed across the broader biopharmaceutical industry may not always transfer effectively to rare-disease investment decisions. Rare-disease development and commercialization are shaped by distinct clinical, regulatory and market dynamics, which can affect both development outcomes and acquisition patterns.
For investors, the implications extend beyond individual assumptions. Miscalibration can influence how opportunities are assessed, how risk is priced and ultimately where capital is allocated.
“Rare disease has its own investment dynamics, and conventional assumptions from broader biopharma do not necessarily apply,” said Peter Wolpert, CEO of Industrifonden. “At Industrifonden, we believe that investment decisions should be grounded in evidence and continuously challenged as we learn more. Research like this helps strengthen how we think about the opportunities and risks in an area where better capital allocation can ultimately contribute to bringing important treatments to patients.”
The study draws on behavioural decision science to explore why experienced professionals may systematically misjudge certain aspects of rare-disease investing. By comparing practitioner expectations with published benchmarks, the research provides a framework for identifying where intuition and established industry assumptions may diverge from observed outcomes.