A LinkedIn Newsletter, The Balanced Hustle, published a piece before the start of 2025 titled “Top 10 Challenges Facing Pharma Companies in 2025 and Beyond – And Strategies to Overcome Them.” These 10 challenges included:
- Escalating Costs of Drug Development
- Rising Regulatory and Compliance Complexity
- Talent Shortages and Workforce Evolution
- Pressure to Deliver on Sustainability Goals
- Intensifying Competition from Generics and Biosimilars
- Navigating Global Supply Chain Disruptions
- Addressing Health Equity and Access Challenges
- Harnessing Real-World Data (RWD) Effectively
- Managing the Explosion of Digital Health Technologies
- Preparing for the Next Global Health Crisis
While advanced automation can address many of these challenges, let’s focus on the challenge of harnessing real-world data effectively. Too often, data is trapped in separate applications. These data silos prevent a more comprehensive picture of what is happening across manufacturing processes, especially as we are entirely in the age of Generative AI, which is helping address challenges.
Eliminating silos of data into a comprehensive industrial data fabric enables reshaping the data landscape to provide aggregated, contextualized data for digital transformation initiatives.
With this base of integrated contextualized data, pharmaceutical and biotechnology manufacturers can drive performance improvements in:
- Pipeline acceleration
- Operational integrity
- Flexible manufacturing
- Real-time release
- Sustainable operations
One example is real-time scheduling that automatically adjusts the schedule to address issues that may arise during a batch production run. We discussed this in a recent podcast about DeltaV Real-Time Scheduling (RTS).
Life Sciences companies are pushing to accelerate the time-to-market of their pipelines for new therapies and treatments. This comprehensive data integration, combined with modeling, control, monitoring, and intelligent instrumentation, helps digitize recipe treatment from drug discovery and development through the pipeline to manufacturing at scale.
Some of the applications and technologies that are essential in advancing toward more efficient and sustainable operations include Aspen Plus simulation software, DeltaV Process Specification Management, DeltaV Workflow Management, DeltaV MES [Manufacturing Execution System], Aspen Unscrambler, DeltaV Systems and Software for Life Sciences, and DeltaV RTS.
Follow the links above and visit the Life Sciences section on Emerson.com to learn more about ways to drive performance improvements and address many of the challenges faced by manufacturers in the Life Sciences sector.
