#GetTheFutureYouWantBuilding the next-gen pharma labDIGITALLY CONNECTED, ENVIRONMENTALLY SUSTAINABLEExecutive Summary Investments in lab transformation are set to accelerateA cutting-edge laboratory environment is at the core of an innovative and competitive pharma organization and is critical to meet industry demand for innovative therapies, reduced time to market, increased approval rates, reduced costs, and regulatory requirements. Most pharma organizations are rethinking their approach to lab structure and operation with an emphasis on accelerating digitalization, leveraging AI, improving processes, and building the right skills and culture. Our research reveals that larger organizations plan to invest 6.5% of their revenue in lab transformation initiatives by 2025, up from 4% today.Most labs are at the pilot or proof-of-concept (PoC) stage of transformation The majority of organizations are still in the early stages of transformation, with only one in 10 of those surveyed having partially or fully scaled their efforts. When we assessed them against the critical dimensions of lab transformation maturity, only 15% could be categorized as “leaders." Labs continue to confront challenges in data, technology, people, and processes as they strive for transformation.Leaders are already reaping benefits Our assessment model shows that leaders, that are strong on both foundations (including tools, technologies, data, architecture, and connectivity) and enablers (including vision, strategy, people, processes, culture, and skills) are reaping benefits at scale. Almost half are already reducing time to market, human error, late-stage failures, and costs as a result of their efforts.2Capgemini Research Institute 2024Building the next-gen pharma lab: Digitally connected, environmentally sustainableHow to build a next-gen labBased on our research and experience, we believe the following are key considerations: • Strategize your transformation approach: Assess the current maturity of your labs and develop a clear vision, roadmap, and KPIs for transformation.• Design a future-ready architecture: Legacy technologies and infrastructure are major barriers to lab transformation for 90% of organizations. Prepare a blueprint of lab reference architecture, tools, and technologies to guide and help in achieving continuous improvement.• Build intelligence through strong data foundations: Focus on FAIR (findable, accessible, interoperable, and reusable) data principles to eradicate data silos, enable global collaboration, and increase efficiency of work performed in labs. • Augment human intelligence with AI: From target identification during drug discovery to automated in-process testing for quality control, AI and generative AI will play a significant role in assisting labs in critical processes. • Optimize your processes: Ensure efficient operational continuity through harmonized, automated, a...
