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JMP

Features
Ease of use
Ease of management
Quality of support
Affordability
Market presence
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Pricing from
$1,390.00 per user per year
Free Trial
Free version
User corporate size
Small
Medium
Large
User industry
  1. Agriculture, fishing, and forestry
  2. Construction
  3. Manufacturing

What is JMP

JMP is a desktop-based statistical analysis and data visualization platform used for exploratory data analysis, modeling, and quality/process improvement. It is commonly used by statisticians, engineers, and analysts in manufacturing, life sciences, and R&D environments to design experiments, analyze variability, and build predictive models. The product emphasizes interactive visual analytics tightly coupled with statistical workflows and includes specialized capabilities such as DOE, reliability, and quality methods. JMP is developed by JMP Statistical Discovery LLC, a subsidiary of SAS Institute Inc.

pros

Deep statistical and DOE methods

JMP provides a broad set of classical and modern statistical procedures, including design of experiments (DOE), quality control, reliability, and multivariate methods. These capabilities support regulated and engineering-heavy use cases where traceable statistical methodology matters. Compared with many dashboard-centric BI tools, JMP is oriented toward rigorous analysis rather than primarily KPI reporting.

Interactive visual exploration workflow

JMP links graphs, tables, and analyses so selections in one view highlight related records across others. This supports iterative exploratory analysis and root-cause investigation without requiring users to write code for common tasks. The approach is well-suited to analysts who need to move quickly between visualization and statistical testing/modeling.

Extensible with scripting and add-ins

JMP includes JSL (JMP Scripting Language) for automation, custom applications, and repeatable analysis pipelines. Organizations can standardize analyses, build internal tools, and integrate with external systems via scripting and supported connectors. This helps teams scale beyond one-off interactive work when consistent reporting or batch analysis is required.

cons

Primarily desktop deployment model

JMP is mainly a desktop application, which can complicate centralized governance, browser-based access, and broad self-service distribution compared with web-first BI platforms. Sharing interactive results often requires exporting, publishing through additional components, or distributing files with appropriate access controls. This can be a constraint for organizations standardizing on cloud analytics and lightweight sharing.

Less focused on BI dashboards

While JMP can produce reports and visualizations, it is not primarily designed for enterprise semantic layers, governed metric catalogs, or large-scale executive dashboarding. Teams seeking standardized KPI dashboards, embedded analytics for many business users, or extensive pixel-perfect reporting may need complementary BI tooling. As a result, JMP often fits best as an analyst workbench rather than a single BI system of record.

Learning curve for advanced use

Many advanced capabilities (DOE setup, model tuning, automation with JSL) require statistical knowledge and product-specific training. Users without a statistics background may find it harder to choose appropriate methods and interpret outputs responsibly. Licensing and administration can also be more involved than lightweight visualization tools, particularly in mixed desktop/enterprise environments.

Plan & Pricing

Plan Price Key features & notes
JMP $1,390.00 per year per user Core JMP: interactive data visualization and statistical discovery. Annual subscription (listed price on JMP Store); tiered/volume discounts apply.
JMP Pro $8,820.00 per year per user JMP Pro extends JMP with advanced predictive-analytics and machine-learning features. Annual subscription (listed price on JMP Store); tiered/volume discounts apply.
JMP Clinical $8,820.00 per year per user JMP Clinical: clinical-trial focused analytics and reporting. Annual subscription (listed price on JMP Store); contact JMP sales for some purchasing options.

Seller details

JMP Statistical Discovery LLC (a subsidiary of SAS Institute Inc.)
Cary, North Carolina, USA
1989
Subsidiary
https://www.jmp.com/
https://x.com/JMP_Software
https://www.linkedin.com/company/jmp-statistical-discovery/

Tools by JMP Statistical Discovery LLC (a subsidiary of SAS Institute Inc.)

JMP

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