JMP review
A mature desktop option for interactive quality and experimental analysis.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
JMP is desktop statistical analysis software for scientists, engineers, researchers, and organizations. It combines interactive data visualization with data cleaning and preparation, statistical modeling, regression, experimental design, reliability analysis, quality engineering, and reporting. The software runs on Windows and macOS and is sold through an annual per-user subscription. Its focus is a strong fit for teams that need to explore data visually while moving into formal analysis, testing, and process improvement.
The feature set covers a broad statistical workflow. Users can work with regression and distribution analysis, hypothesis testing, ANOVA, nonparametric tests, design of experiments, reliability analysis, and quality and process engineering analysis. JMP also supports data sharing and interactive web visualizations, alongside automation and scripting. Import options include Excel, text files, PDF, SPSS, SAS data sets, XML, JSON, SQL databases, Google Sheets, HDF5, R, MATLAB, Internet or remote computer sources, and PI Server. This breadth makes it more suitable for recurring analytical work than for a single narrow statistical task.
JMP’s ecosystem fit is another important consideration. Integrations with SAS, MATLAB, R, and Python can support teams working across statistical, scientific, and programming environments, while scripting provides a path for automation. The product has been available since 1989, giving it a long-established presence in statistical analysis software. Choose JMP when interactive exploration, experimental design, quality analysis, and reliability work belong in one desktop application. Consider another option if a free plan, open-source licensing, or deployment beyond Windows and macOS is essential.
JMP pros and cons
- Where it wins
- Interactive visualization, preparation, modeling, and statistical testing
- Design of experiments, reliability, and quality engineering analysis
- SAS, MATLAB, R, and Python integrations with scripting support
- Where it doesn't
- No free plan
- Desktop deployment limits access to Windows and macOS
- Annual per-user subscription may not suit occasional analysts
JMP fact sheet, pricing and score →
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