IQVIA

Pharmaceutical companies need to know if new drugs work. Clinical trials generate the evidence, but trials are expensive and uncertain. IqVIA built the world's largest database of clinical trial information, then used it to predict which trials will succeed before manufacturing begins. IQVIA collected data from millions of patient histories and insurance claims. Machine learning models learned which populations responded to treatments. IQVIA predicted which trial designs would succeed fastest. This cut development timelines and failed trials. Pharma companies paid premium fees for this edge. The data advantage compounded.