Gartner®: Hype Cycle for Life Science Manufacturing, Quality and Supply Chain, 2024
The growing demand for personalized, technology-driven therapies and diagnostics is pushing the need for more advanced manufacturing strategies and sophisticated supply chains. As a CIO, it's crucial to collaborate with leaders in quality, operations, and supply chain management to maintain flexible production capabilities, enhance resilience, and drive IT modernization.
Gartner’s Hype Cycle for Life Science Manufacturing, Quality and Supply Chain is intended to assist CIOs in assessing key technologies that are critical for manufacturing, quality, regulatory, and supply chain functions within life science industries such as pharmaceuticals, biotechnology, and medical devices. It covers emerging technologies such as generative AI for product life cycles, digital life science platforms, and cloud-based quality management systems, helping you identify innovations that can deliver significant business value.
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Key Findings:
- "Examples of technologies at the trigger phase include generative AI for product life cycle and combinatorial AI in manufacturing.
- Recent innovations summiting the peak include generative AI in life science, digital life science platform and end-to-end cell and gene therapy (CGT) systems.
- Those at the peak will inevitably slide into the trough, before significant value will be realized. Examples include IoT-enabled laboratories, blockchain in life sciences and SaaS lab information management systems (Saas-LIMS).
- Examples of technologies on the slope inclujde serialization and cloud-based quality management system (QMS) suites, pharma product life cycle management (PLM) and track-and-trace solutions.
- Electronic batch records (EBRs) and process analytical technologies (PATs) are maturing technologies, situated on the plateau."
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