2026 Life Sciences Quality Management Report: Benchmarks, Burdens, and Breakthroughs
Managing quality in GxP is hard work. You know it. We know it. But translating that time and effort into meaningful and quantifiable insights has never been done before at scale.
This report fills that gap.
We polled 100 quality professionals across Life Sciences to:
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Quantify the time, effort, and cost associated with managing quality
- Understand the impact that digitization and eQMS can bring to critical-to-quality activities
- Gauge the current state of AI adoption in quality
- ...and much more.
Download this first-of-its-kind report today!
What’s Inside the Report
With data and insights from 100 life sciences quality professionals across six industry sectors, this report includes:
Quality Management Operational Benchmarks
- Typical Quality team sizes and budgets
- Types of quality systems/methods used
- Typical document volumes and training loads
- How frequently teams conduct internal, external, and vendor audits
- Time investments for document management, audit prep, and issue resolution
The Digital Difference
- The efficiency differences between manual and digital quality management
- Side-by-side comparisons of manual vs digital quality system compliance effectiveness
- Time savings across core tasks like document retrieval and training management
AI in Quality Management
- Current AI adoption rates and interest levels in Quality Management
- AI concerns that hold teams back
- Which sectors are most open to experimenting with AI
Sector Profiles
Quality Management insights broken down by sector, including:
- Biopharma & Diagnostics
- CMO/CDMO
- CROs
- Manufacturing
- Labs & Diagnostics
- Packaging & Other
Training Bottlenecks
- Why training remains a bottleneck even with digital tools
- How leading teams measure effectiveness and collect meaningful feedback
- Training matrix practices that correlate with better compliance outcomes