82% of life sciences organizations are scaling AI beyond pilots to production

43% now operate at a “Transformational” level of AI maturity – far outpacing other sectors

58% report compute and infrastructure constraints slowing real-time performance

33% are moving AI inference workloads off hyperscalers to alternative clouds

15% anticipated increase in IT budgets allocated to AI in 2026