Jmp Version History [verified] Jun 2026

JMP 11 leaned heavily into the formulation industry (food, chemicals, cosmetics) and predictive analytics.

Verdict: JMP 18 is a masterclass in making advanced statistics accessible. The AutoML alone brings enterprise-grade modeling to domain experts without requiring a data science team.

Some areas of focus for future JMP releases include: jmp version history

The last decade has seen JMP transition toward larger datasets, better reporting, and specialized versions like for advanced predictive modeling.

Over the years JMP changed shape like any living thing. The early versions were businesslike and blunt: tables, simple charts, a stubborn insistence that data be tidy. Ana remembers nights at the lab, the fluorescent hum, swapping floppy disks among colleagues, each disk stamped with a version number like a talisman. Version 2 brought more analyses; version 3 polished the interface. With each update came new ways to ask the same questions, more elegant ways to reveal error bars and outliers. JMP 11 leaned heavily into the formulation industry

But how did we get here? Let’s take a walk down memory lane and explore the evolution of JMP, version by version, to see how it shaped the way we analyze data today.

Introduced a 64-bit version for Mac and drag-and-drop graph building. Some areas of focus for future JMP releases

JMP currently follows an , with maintenance updates every 4–6 months.