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Infrastructure strategies evolve as organizations move from hyperscaler dependence to diversified approaches
Life sciences organizations are shifting infrastructure strategies. With 33% of workloads now on alternative providers versus 28% on hyperscaler clouds, successful scaling requires providers capable of meeting the speed, sensitivity, and discipline needed to move AI from pilot to enterprise foundation.
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Operationalizing AI in Life Sciences: 2025 Benchmark Report
Life sciences organizations lead in AI maturity but face compute constraints that limit scaling from pilot to production.
Life sciences organizations face a high-stakes paradox: Demand for faster innovation is rising while funding and scaling capabilities remain under pressure.
While 82% of life sciences companies fall into the top two AI maturity tiers, 58% cite inadequate compute resources as a challenge. Organizations are diversifying beyond hyperscalers, with 33% of workloads running on alternative providers to address storage connectivity and data locality constraints.
