2026 Life Sciences Quality Management Report: Benchmarks, Burdens, and Breakthroughs
Most life sciences research focuses on markets, therapeutic trends, or commercial opportunity. But few reports ever quantify the operational reality of Quality Management, the work that keeps products safe, compliance steady, and audit outcomes successful.
This report fills that gap.
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