Loading
Worker in personal protective equipment or PPE inspecting quality of mask and medical face mask production line in factory, manufacturing industry and factory concept.
Report

The New Operating Model for Life Sciences Manufacturing

Moving from Compliance to Continuous Readiness
Get the free report

Get the highlights

Life sciences manufacturers face growing regulatory expectations around cybersecurity, data integrity, digital records, AI governance, and continuous quality oversight, making transparency, traceability, and control more important than ever. At the same time, these capabilities are becoming critical business enablers, with industry leaders investing in digital transformation to strengthen quality, improve operational performance and navigate an increasingly complex business environment.

Complexity escalates with challenges such as overcoming legacy equipment and data silos, adapting to shifting global supply chains shaped by dynamic demand and trade policies, supporting a broader range of production models from single-patient precision medicines to high-volume therapies such as GLP-1s, and responding to the growing adoption of connected and personalized medical technologies. These trends, alongside capacity expansion and new production facility investments, are increasing the need for more connected, resilient and scalable manufacturing operations.

This report examines the forces shaping this transition. Combining insights from Rockwell Automation's State of Smart Manufacturing research with the broader trends influencing the life sciences sector, it explores how manufacturers are preparing for a future where digital maturity, cyber resilience and AI readiness are becoming essential components of long-term success.


Progress Is Real, But Barriers to Readiness Remain

shield lock
Connectivity Brings Complexity

As digital transformation continues, cybersecurity must be embedded into operational strategies, technology decisions and risk management programs

performance up
Data Is Growing Fast

Without a connected data foundation, efforts to support AI, improve decision-making and increase operational visibility become more difficult to sustain.

document checklist
Technology Alone Is Not Enough

Successful transformation requires a foundation built on trusted data, clear governance and operational alignment.

Download the Report

Where do life sciences manufacturers stand today?

According to the life sciences organizations surveyed

90%

believe digital transformation is necessary

58%

already deployed smart manufacturing technologies

64%

plan to expand AI and machine learning usage over the next 12 months

Download the Report

BUILD A DIGITAL FOUNDATION REQUIRED FOR CONTINUOUS READINESS

Download the report

As manufacturers evaluate where technology can deliver the greatest business impact, priorities are increasingly focused on capabilities that improve operational performance while supporting long-term readiness.

Learn the technology investments expected to have the greatest impact by downloading the report.

Download the Report

Ready to get started?

Use this data to strengthen your digital readiness, prioritize investments, and improve operational performance. Our experts are here to help.

Contact Us
  1. Chevron LeftChevron Left Rockwell Automation Home
  2. Chevron LeftChevron Left Industries
  3. Chevron LeftChevron Left Life Sciences Automation Solutions
  4. Chevron LeftChevron Left The New Operating Model for Life Sciences Manufacturing
Please update your cookie preferences to continue.
This feature requires cookies to enhance your experience. Please update your preferences to allow for these cookies:
  • Social Media Cookies
  • Functional Cookies
  • Performance Cookies
  • Marketing Cookies
  • All Cookies
You can update your preferences at any time. For more information please see our {0} Privacy Policy
CloseClose