Artificial intelligence is rapidly evolving in life sciences, with organizations moving beyond experimentation toward practical applications that improve operational efficiency, accelerate decision-making, and support compliance. Yet significant challenges remain around data readiness, governance, privacy, and scaling AI beyond pilot programs.
In this Axendia market research report, based on a survey of 194 life sciences professionals and technology providers, you'll gain insight into how organizations are approaching generative, agentic, and autonomous AI across research, manufacturing, quality, regulatory, and supply chain functions. The report examines adoption trends, investment priorities, proof-of-concept activity, data challenges, and the factors organizations consider most critical when evaluating AI solutions.
Which AI use cases are gaining traction across the product lifecycle
What separates AI innovators from organizations still in the evaluation stage
