JMP (by SAS)

JMP is a comprehensive suite of statistical discovery software developed by JMP, a subsidiary of SAS Institute. It provides an integrated environment for data preparation, exploratory visual analytics, statistical analysis, and predictive modeling. Designed for scientists, engineers, and data analysts, JMP empowers users to investigate and explore complex datasets, uncover patterns, verify hypotheses, and share actionable insights through interactive visualizations. It is widely applied across various industries for data mining, quality control, experimental design, and machine learning.

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Vendor Details

Interactive statistical discovery software for visual data analysis, predictive modeling, and problem-solving.

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Pillar
Trends & Foresight
Primary SITech Category
Trends Analytics
2nd SubCat
Trends Prediction
3rd SubCat
Trends Reporting
Tech Category
Statistical analysis software, Desktop application, Scripting language (JSL), Integrates with SAS, R, Python, MATLAB
Data Coverage
Business & Firmographic (B2B) Data
Healthcare & Medical Data
Financial & Market Data
Consumer & Demographic (B2C) Data
Alternative / Niche Data
Data Sources
First-Party Data Upload
AI/GenAI Type
Predictive AI & Analytics
Geographic Coverage
Global / Worldwide
Specialized Industries
Pharmaceutical
Healthcare & Life Sciences
Manufacturing & Logistics
Technology & Software
Financial Services & FinTech
Education & Training
HQ Location
North America

Company Info

JMP is a comprehensive suite of statistical discovery software developed by JMP, a subsidiary of SAS Institute. It provides an integrated environment for data preparation, exploratory visual analytics, statistical analysis, and predictive modeling. Designed for scientists, engineers, and data analysts, JMP empowers users to investigate and explore complex datasets, uncover patterns, verify hypotheses, and share actionable insights through interactive visualizations. It is widely applied across various industries for data mining, quality control, experimental design, and machine learning.