Lab Software in 2026: Finding the Right Fit for R&D

Which software helps labs and R&D teams work more efficiently in 2026, make better decisions and lay the groundwork for technologies such as AI? No single solution suits every process, data structure or R&D setup.

Many companies rely on a LIMS that has grown over the years, on Excel spreadsheets or on a handful of specialist tools. At the same time, expectations around data quality, collaboration, analysis and integration keep rising. This webinar looks at the role that classic lab software, electronic lab notebooks, modern R&D platforms and dedicated solutions for lab and material data play today.

Using practical examples, we cover:

• Which types of software suit which tasks
• Which criteria help with shortlisting, vendor evaluation and demo preparation
• Why data structure and integration are the basis for usable data and AI

The session shows how to prepare for the next software decision, from reviewing existing systems through to bringing data and processes together on one platform.