Focused heavily on AI-assisted workflows, advanced predictive modeling enhancements, and new tools for quality and reliability engineering.
Upgraded Peak Analysis for spectral data, column presentation presets, and cloud-native JMP Live report publishing. Quick Reference Summary Milestone Feature Target Audience Focus JMP 1–3 Graphical Data Linking Mac & Windows Pioneers JMP 4–7 JSL Scripting & Dashboards Enterprise Automation JMP 8–9 Graph Builder Launch Visual Data Explorers JMP 10 Launch of JMP Pro Predictive Modelers & Data Scientists JMP 11–15 Advanced DOE & Text Mining Industrial Engineers & R&D JMP 16–18 Native Python Integration Modern Full-Stack Analysts
As data analysis and visualization continue to evolve, JMP remains committed to providing a powerful, intuitive, and user-friendly platform for data exploration and discovery. With each new release, JMP continues to incorporate emerging trends, technologies, and methodologies, ensuring that users have access to the latest tools and techniques.
The 2000s saw JMP continue to evolve with a focus on usability, performance, and advanced analytics.
Verdict: JMP became a dashboarding and predictive analytics contender. Graph Builder alone made it worth the upgrade. jmp version history
What (e.g., manufacturing, pharma, academia) you work in? Whether you are deciding between standard JMP and JMP Pro ?
Released exclusively for the Apple Macintosh to leverage its groundbreaking graphical interface.
Interactive scatter plots, basic regression, ANOVA, and dynamically linked data tables where clicking a point highlighted it across all open charts. JMP 2 (1991)
: Enhanced data loading speeds from databases. With each new release, JMP continues to incorporate
JMP 15 brought massive updates to its flagship Graph Builder interface, adding contours, time-series sub-graphs, and custom map shapes easily. It also completely overhauled the PDF and XML data import engines. JMP 16 (2021) Key Feature: Action Recording and Enhanced Log.
Scaling Enterprise Capabilities: JMP 4 to JMP 7 (2000–2007) JMP 4 (2000) : Introduced JMP Scripting Language (JSL). Analytics : Added time series forecasting. Graphics : Cleaned up chart output formats. JMP 5 (2002) Quality : Launched advanced Six Sigma tools. Control : Introduced interactive control charts. Data : Improved database querying speeds. JMP 6 (2005) Integration : Direct connection to SAS code. Graphics : 3D surface plots introduced. Advanced : Basic neural network modeling added. JMP 7 (2007) Scale : First native 64-bit architecture version. DOE : Advanced custom design engine launch. Scripting : Script guide and debugger added. The Modern Analytics Era: JMP 8 to JMP 12 (2009–2015) JMP 8 (2009) Visuals : Graph Builder interface debuted. Mapping : Background geographical maps integration. Choice : Choice modeling for consumer research. JMP 9 (2010) Code : R programmability integration added. Modeling : Degradation analysis for reliability. Sharing : Interactive HTML report exporting. JMP 10 (2012) Split : JMP Pro version launched. Pro : Advanced predictive modeling tools. Data : Drag-and-drop data validation. JMP 11 (2013) Speed : Faster Excel data importing. Visuals : Bubble plots and definitive screening. Pro : Text exploration capabilities added. JMP 12 (2015) Modeling : Structural Equation Modeling (SEM) added. Prep : Query Builder for data clean-up. Sharing : JMP Public online sharing platform. Predictive Power & Big Data: JMP 13 to JMP 16 (2016–2021) JMP 13 (2016) Code : Python integration support added. Text : Text Explorer became core feature. Reporting : Dashboard Builder interface introduced. JMP 14 (2018) Projects : File organization project tabs. Data : Direct access to multi-database sources. Pro : Functional Data Analysis (FDA) tools. JMP 15 (2019) Visuals : Contour plots in Graph Builder. Header : Enhanced columns viewer workspace. Pro : Structural Equation Modeling upgrades. JMP 16 (2021) Log : Action Recorder logs user clicks. Scripting : Enhanced JSL script generation tools. Silicon : Native Apple Silicon M1 support.
submenu and performance improvements for statistical analysis. JMP 11 (2014):
Introduced design of experiments (DOE) capabilities, paving the way for its widespread adoption in manufacturing and R&D. JMP 3 (1994) Graph Builder alone made it worth the upgrade
Brought vast improvements to data handling and introduced the Application Builder, allowing users to package customized analytics workflows into standalone applications.
The mid-2000s focused on enhancing the "dynamic" aspect of JMP—making graphs more interactive and integrated, allowing users to select data points in one visualization and see them highlighted instantly in another. The Modern Era: JMP Pro and Beyond (2010s–Present)
Began deep integration with SAS , allowing users to write SAS code directly within JMP.
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JMP statistical software has spent over three decades transforming how scientists, engineers, and data analysts explore data visually. Originally built for the Apple Macintosh, JMP (pronounced "jump") pioneered interactive data visualization long before "business intelligence" became a corporate buzzword.