--- title: "JMP Software Pricing, Alternatives & More 2026 | Capterra" description: "With the help of Capterra, learn about JMP Software - reviews, pricing plans, popular comparisons to other Data Analysis products and more." source_url: "https://www.capterra.com/p/151815/JMP-Statistical-Software/" page_type: "product" language: "en" publication_date: "2026-10-19" --- # JMP Software Review 2026: Features, Integrations, Pros & Cons Last updated on October 19, 2026 Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[Features](#features)[Pricing](#pricing)[Integrations](#integrations)[Support](#support)[Reviews](#reviews) JMP ## What is JMP? With JMP's advanced data analysis and modeling capabilities, you can easily explore one, two, or many variables at a time, with linked analyses that help you uncover the hidden story in your data. JMP's specific graphs designed for every statistic make it easy to interpret and understand your analysis results. When it comes to picking the right test and model for your data and selected variables, JMP has you covered, with just-in-time statistical analysis that allows you to solve your problem. ## What is JMP used for? [Data Analysis](https://www.capterra.com/data-analysis-software/)[Statistical Analysis](https://www.capterra.com/statistical-analysis-software/)[Data Visualization](https://www.capterra.com/data-visualization-software/) Top alternative Featured Overall rating Based on 53 user reviews Reviews sentiment Positive 92% Neutral 6% Negative 2% Starting price $1390 Per User, Per Year Free trial available Free version not included Capterra Shortlist charts the highest-rated and most popular products... Our "Best of" badge program showcases products with the highest ratings... Our "Best of" badge program showcases products with the highest ratings... Do you work for JMP?[Manage this product listing](https://www.g2.com/products/jmp/claim_requests/new?auto=true) ## Compare with a popular alternative Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status. ### JMP 4.5 (53) VS. [4.5 (391)](https://www.capterra.com/p/109731/Minitab-Statistical-Software/reviews/) Starting Price $1390 Per User, Per Year Starting Price $2394 Per User, Per Year Free Trial Free Version Pricing Options Free Trial Free Version Ease Of Use 4.2 (53) Ease Of Use 4.2 (1,875) Value For Money 4.3 (35) Value For Money 4.2 (1,278) Customer Service 4.5 (36) Customer Service 4.2 (1,213) ## JMP alternatives [4.4 (361)](https://www.capterra.com/p/129749/Zoho-Analytics/reviews/) Starting price $30.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 91% of reviewers rated it above 4 stars Highest Rated [4.7 (87)](https://www.capterra.com/p/10012559/EngineRoom/reviews/) Starting price $495.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 97% of reviewers rated it above 4 stars [4.4 (12)](https://www.capterra.com/p/10004983/SAS-Viya/#reviews) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 92% of reviewers rated it above 4 stars [Microsoft Power BI](https://www.capterra.com/p/176586/Power-BI/) [4.6 (1,896)](https://www.capterra.com/p/176586/Power-BI/reviews/) Starting price $10.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 96% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/176586/Power-BI/) [View all alternatives](https://www.capterra.com/p/151815/JMP-Statistical-Software/alternatives/) ## FAQs about JMP Overview ### What problems does JMP solve? JMP solves the challenge of turning raw, multi-variable data into interpretable findings by supporting exploratory analysis, regression, ANOVA, process capability studies, and design of experiments without requiring code. Interactive linked graphs expose patterns across plots and tables, while scripting automates repeated analyses. Researchers, laboratory teams, quality engineers, and statisticians benefit most. Answer based on 48 reviews Overview ### Which roles and teams benefit most from JMP? JMP is most used by research teams, process and quality engineers, statisticians, and students working with experimental or operational data. Research assistants and scientists analyze study results, while engineers examine process variation, reliability, supplier quality, and development data. Analysts and technical educators use it to model findings, create reports, and teach statistical methods. Answer based on 53 reviews Overview ### What company size and industries is JMP built for? JMP is for enterprise organizations in Research and Biotechnology that analyze data with statistics and interactive visualization. Enterprises make up 61% of reviewers, while Research and Biotechnology each account for 17%. It also serves small businesses, representing 35% of reviewers, and Semiconductor organizations, which represent 8%. Answer based on 53 reviews Features and Usability ### What are the key features of JMP? JMP includes core statistical analysis tools for regression, ANOVA, multivariate analysis, and statistical process control. Its Graph Builder and interactive data visualization support exploratory analysis, while drag-and-drop workflows, data import, JSL scripting, and design of experiments help users prepare data, automate repeated analyses, and model processes. Answer based on 32 reviews Integrations ### Which third-party tools and platforms does JMP integrate with? JMP integrates with over 20 third-party tools and platforms, including Google Sheets, Microsoft Excel, Microsoft Access, Microsoft SQL Server, PostgreSQL, MySQL, Oracle Service, and MATLAB. It also connects with IBM Db2, IBM SPSS Statistics, IBM SPSS Modeler, Minitab, MariaDB, Amazon Redshift, and Amazon Aurora. Answer based on 2 reviews Getting Started and Support ### How easy is it to onboard and train a team on JMP? JMP offers in-person and live online training, webinars, documentation, and videos to support team onboarding. Reviewers report that beginners and nontechnical users can quickly perform basic analyses without coding, while teams moving from Excel or Minitab, plus advanced users learning complex menus or scripting, need more time and structured training. Answer based on 26 reviews Getting Started and Support ### What customer support options does JMP offer, and how do users rate the experience? JMP offers email/help desk, FAQ/forum, knowledge base, phone support, and chat. Users report responsive email and phone assistance, including helpful setup guidance, but some find documentation lacking practical examples and want more online training and user-help options. Complex errors and bug fixes can also require time-consuming support. Answer based on 10 reviews Features and Usability ### How easy is JMP for creating interactive graphs? JMP makes interactive graph creation accessible with Graph Builder, drag-and-drop fields, linked selections, and adjustable plot types. Statisticians, laboratory teams, and research users can compare variables, create diagnostic charts, and export visuals for reports. Scripting also lets recurring analyses and custom graph templates be reused when new data arrives. Answer based on 22 reviews Features and Usability ### How well does JMP support data visualization? JMP supports fast exploratory data visualization through interactive plots, dashboards, and drag-and-drop chart building. Researchers and analysts with limited coding experience value linked views, data import options, and presentation-ready graphics. Some users find advanced visual needs less flexible, including three-dimensional chart adjustments, certain statistical overlays, table copying, and small-screen display clarity. Answer based on 20 reviews ## Features AI summary Based on 3,958 Data Analysis reviews Capterra data shows that buyers of data analysis software rank the following features as their top priorities: - **Multiple Data Sources** (**47%** of reviewers rated this feature as critical) - **Reporting/Analytics** (**47%**) - **Dashboard Creation** (**43%**) JMP supports all three of the features reviewers rate highest: **Multiple Data Sources**, **Reporting/Analytics**, and **Dashboard Creation**. Together, these capabilities help businesses bring in data from different systems, examine results more clearly, and present insights in visual dashboards, allowing teams to make faster, better-informed decisions. Reporting/Analytics 4.6 (7) 71.43% of 7 reviewers that rated this feature as important or highly important View and track pertinent metrics to find patterns and gain insights from data Reporting & Statistics 5.0 (2) 50.00% of 2 reviewers that rated this feature as important or highly important Collection, analysis, and representation of numerical data and generation of reports to understand various patterns Data Visualization 4.6 (9) 77.78% of 9 reviewers that rated this feature as important or highly important Graphical representation of data Data Discovery 4.6 (7) 57.14% of 7 reviewers that rated this feature as important or highly important Discover and connect variety of data sources to the application for analysis Statistical Process Control 4.6 (5) 80.00% of 5 reviewers that rated this feature as important or highly important Statistical methods to assist with and maintain quality control of processes Data Connectors 4.5 (4) 100.00% of 4 reviewers that rated this feature as important or highly important Connect to big data sources JMP 125 features ### All Features - "What If" Scenarios: Method used in decision-making that allows businesses to input variables to forecast potential outcomes or possibilities - Access Controls/Permissions: Define levels of authorization for access to specific files or systems - Ad hoc Query: One-off queries made on an as-needed basis - Ad hoc Reporting: Generate one-off reports that meet information requirements - AI/Machine Learning: Software program that continuously adjusts its behavior based on observed data - Alerts/Notifications: Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges - API: Application programming interface that allows for integration with other systems/databases - Association Discovery: Machine learning method, based on rules, to find interesting relationships between variables in large databases - Bayesian Analysis: A statistical method, based on Bayesian inference, that expresses unknown parameters as probability statements - Big Data Analytics: Examine large amounts of data to uncover hidden patterns, correlations, and other insights - Business Rules Management: Define and maintain business rules that determine workflow capabilities and criteria - Categorization/Grouping: Organize and group data or items based on various criteria - Charting: Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc. - Collaboration Tools: Provides a channel for team members to share AI models, media files, communicate, and work together - Compliance Tracking: Track and report regulatory data to either internal management or external stakeholders - Configurable Workflow: Configure existing workflows to meet your organization's needs - Customizable Branding: Add customized logos and colors to align with company branding - Customizable Dashboard: Alter the layout and content of dashboards - Customizable Reports: Alter the layout and content of reports - Customizable Rules: Rules followed by the software/AI can be configured by users to suit their specific needs - Customizable Templates: Pre-designed layouts that can be customized to match preferences and requirements - Customization: Create labels for products that contain required information such as colors, sizes, dates, etc. - Dashboard: Assembly of graphs and charts for visualizing and tracking statistics/metrics - Dashboard Creation: Creation and customization of dashboards - Data Aggregation: Collect, process and structure data from multiple sources for further analysis - Data Analysis Tools: Analyze survey results via statistical testing or crosstabs directly within the software - Data Blending: Merge data from multiple sources to a single data set - Data Classification: Grouping log entries based on similar attributes. - Data Cleansing: Removes data that is incomplete, inaccurate, or irrelevant from a dataset - Data Clustering: Clustering or grouping objects based on data similarities - Data Connectors: Connect to big data sources - Data Discovery: Discover and connect variety of data sources to the application for analysis - Data Extraction: Automatically retrieve and pull information from documents, websites, images, data sets, and other sources - Data Import/Export: Import and export data to and from software applications - Data Integration: Combining data from different sources and providing a unified view - Data Mapping: Track the management and flow of data throughout the organization - Data Mining: AI method of discovering or extracting data patterns from larger volumes of data - Data Modeling: Conceptual model of how data items relate to each other - Data Preparation: Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions. - Data Profiling: Examines, analyzes, and organizes data to create relevant summaries or graphs. - Data Quality Control: Establish guidelines about how much and what kind of data can be stored in the repository - Data Source Connectors: Connect to big data sources - Data Synchronization: Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency - Data Transformation: Translate EDI formats into data suitable for use with company applications. - Data Verification: Process of checking different types of data for accuracy to avoid errors or inconsistencies - Data Visualization: Graphical representation of data - Database Support: Supports common databases such as MySQL and Oracle - Decision Support: Tools that provide relevant information at specific times to support judgments and courses of action - Decision Tree: Support tool that enables users to progress through a series of steps to solve a problem - Defect Tracking: Process of tracking logged defects (errors) in a product or service to create new versions to fix the error - Demand Forecasting: Forecast customer demand using historical insights and simulations - Drag & Drop: Assemble applications and processes by dragging over and arranging pre-built components - Duplicate Detection: Compare new data with existing records to detect duplicate entries - ETL: Process of extracting, transforming, and loading data - File Sharing: Public or private sharing of digital files such as documents, audio/video, images, and more - File Storage: Store and access documents, forms, and photos in one centralized place - For Education: Used for educational purposes - For Retail: For Retail Stores - Forecasting: Form predictions based on past and present data/trends - Functions/Calculations: Perform various mathematical calculations using the data - Graphical Workflow Editor: Create, design and modify the flow and processes of tasks in a project - Historical Reporting: Information, data and reports that are being tracked over time - Historical Trend Analysis: Review data from past periods to reveal recurring tendencies - Interactive Elements: Various components within a system including buttons, clickable icons, hover effects, and more - Key Performance Indicators: Quantifiable metrics to track objectives, gauge milestones, and evaluate the success of a particular activity - KPI Monitoring: Tracking the status of previously identified performance measurements - Machine Learning: Enable businesses to implement machine learning algorithms on business data such as sales and revenue - Match & Merge: Looking at data from different sources and finding possible duplicates, or identical matches - Metadata Management: Collect and maintain structured information that describes data or content - Mixed Methods Research: Combining elements of both quantitative and qualitative data to conduct research - ML Algorithm Library: Share, track, and store machine learning models and data. - Model Training: Process of testing an ML algorithm by feeding it training data to learn from - Modeling & Simulation: Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making - Monitoring: Observe and track the demand, usage, progress or quality of a system, product, or user - Monte Carlo Simulation: stochastic model based on repeated random sampling - Multi-Channel Data Collection: Collect information from multiple sources - Multi-Language: Manage and support multiple languages - Multiple Data Sources: Allows users to manage data from a number of sources - Multiple Scoring Models: Create multiple models or equations for generating scores - Multivariate Analysis: Analysis of data sets that contain more than one variable - Natural Language Processing: Process and analyze human language in text or audio form - Natural Language Search: Ability to interact with the application using human languages such as English - Neural Network Modeling: A classification and/or predictive modeling technique used for data analysis - No-Code: Drag and drop/visual interfaces that allow non-tech users to build without writing code - Performance Metrics: A set of indicators that tracks the performance of networks, applications, systems, teams, etc. - Predictive Analytics: Predict future data based on historical data sets - Predictive Modeling: Analyzing historical and current data and generating a model to help predict future outcomes. - Private Dashboards: Share dashboard screen within private user groups - Publishing/Sharing: Share pre-configured sets of data organized and presented in a specific manner with the organization - Quality Control: Ensure that quality requirements and standards are met across production processes - Query Builder: Tool that allows users to create and execute database queries without needing to know the underlying syntax of the database - Real-Time Analytics: Analyze and gain insights into data in real-time - Real-Time Data: Receive data and information in real time - Real-Time Notifications: Notifications that are delivered to users as soon as an event occurs - Real-Time Reporting: Active reporting of data and metrics - Real-Time Updates: Receive system updates as soon as any changes are made - Regression Analysis: Analysis to understand which of the independent variables are related to the dependent variable - Relational Display: Relationship diagram view that arranges items in data based on the relationships between them in a freeform graph. - Reporting & Statistics: Collection, analysis, and representation of numerical data and generation of reports to understand various patterns - Reporting/Analytics: View and track pertinent metrics to find patterns and gain insights from data - Risk Assessment: Initiate collection and analysis of known risks - Sales Trend Analysis: Analyze the current state of sales data to accurately understand trends and forecast future sales numbers. - Scheduled/Automated Reports: Set a time to generate routine reports automatically - Search/Filter: Search and filter data across systems to locate required information by entering keywords or certain criteria - Self Service Data Preparation: Access, combine, transform, and store data without the help of an IT department - Self-service Analytics: Generate reports on your own without IT involvement - Sentiment Analysis: Categorize emotions expressed and identify if they are positive, negative or neutral - Statistical Analysis: Apply statistical/mathematical models to sets of data - Statistical Process Control: Statistical methods to assist with and maintain quality control of processes - Statistical Simulation: Assess the performance of a method by picking a random sample from a normal distribution - Storytelling: Ability to present data insights in the form of a story to the audience - Surveys & Feedback: Gauge satisfaction and receive information for improvement and success - Survival Analysis: Analyze the expected duration of time until one or more events occur - Text Analysis: Process of extracting and classifying information from text, such as tweets, emails, product reviews, etc - Text Mining: Transforming unstructured text into a structured format to identify meaningful patterns and new insights - Third-Party Integrations: Set up connections to third-party platforms to improve business processes - Time Series Analysis: Series of data points indexed in time order - Trend Analysis: Review data from past periods to reveal recurring tendencies and predict future performance - User Management: Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks - Visual Analytics: Interact with data visualization elements, such as charts and graphs, to drill down into data - Visual Discovery: Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries. - What-if Analysis: Provides varying estimates based on different scenarios - Widgets: An extended application or connector that enables users to perform additional services with their current set of tools - Workflow Automation: Streamlining repetitive tasks and activities through automated and predefined workflows - Workflow Management: Create, design and manage workflows for repetitive tasks --- Get Advice We can help you find the software with the features you need. Features 4.4 (53) 4.4 Based on 53 reviews ## Pricing Value for money 4.3 (35) Free Trial [View pricing plan details](https://www.capterra.com/p/151815/JMP-Statistical-Software/pricing/) Basic $1,390 Per User,Per Year JMP Pro $8,820 Per User,Per Year JMP Clinical $8,820 Per User,Per Year Value for money 4.3 (35) 4.3 Based on 35 reviews ## Integrations [ Microsoft Excel](https://www.capterra.com/p/176574/Excel/)[ MySQL](https://www.capterra.com/p/11482/MySQL/)[ MATLAB](https://www.capterra.com/p/125813/MATLAB/)[ Microsoft SQL Server](https://www.capterra.com/p/1417/SQL-Server/)[ IBM SPSS Statistics](https://www.capterra.com/p/250819/IBM-SPSS-Statistics/)[ PostgreSQL](https://www.capterra.com/p/48791/PostgreSQL/)[ Minitab](https://www.capterra.com/p/109731/Minitab-Statistical-Software/)[ Microsoft Access](https://www.capterra.com/p/233275/Microsoft-Access/) Connect with a Capterra advisor for a free 15-minute consultation Get a personalized software list aligned to your business needs with guidance from our expert advisors. Our team has helped 1 million+ businesses like yours find options that fit their needs. ## Support, customer service and training options Customer Service 4.5 (36) Support - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - 24/7 (Live rep) - Chat Training - In Person - Live Online - Webinars - Documentation - Videos Deployment - Web - Android - iPhone/iPad Typical users - Freelancers - Small businesses - Mid size businesses - Enterprises Customer Service 4.5 (36) 4.5 Based on 36 reviews ## User reviews Overall rating 4.5 Based on 53 reviews Filter by rating Counts reflect reviews available in this feed. 5(34) 4(15) 3(3) 2(1) 1(0) Mentioned topic Recent reviews first, then most helpful EE Electrochemical Engineer Electrochemical Engineer Used the software for: 3-5 years ### "JMP's statistical analysis has a seamless integration of scripting and visualization" 4.0 Overall Rating 4.0 4.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 December 11, 2025 Very positive and one of the better statistical softwares that I have used in the past. Learning more each day using! Pros I enjoy the ability to save scripts after making an initial plot via a "drop and play" workflow. Can practice scripting or just drop columns into plot locations. This helps with data analysis when new information comes in. Cons Connecting to a database can be difficult at times if not done correctly. This can lead to roadblocks when implementing new softwares. AP Assistant Professor Assistant Professor Used the software for: 3-5 years ### "It makes running simple statistical models easy" 4.0 May 9, 2018 Pros Being the software highly on usability, you can start working with it in minutes. Reading the manual may turn to be needed only if you start using higher functionalities. The default diagnostic plots are well designed. Cons You can only do much with JMP, and actually not a lot. JMP is kind of slow with catching up with the latest statistical tools available for regression analysis. I never managed to use in replacement of R of SPSS. At the end, personally, I only use it when a want a quick overview of the data thanks to its good graphics. It is a software useful for "quick" analyses, but it is too simplistic for more serious work. ST statistician statistician Used the software for: 3-5 years ### "Great product for statisticians and non-statisiticians" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 February 6, 2023 It's a great software to use for new and experienced professionals in the manufacturing and biologics industry. Pros I like the functionality and ease of use for both statisticians and non-statisticians. There's point and click and scripting that you can use to make data visualizations, models, and more (such as simulations). I like that you can make your own templates with the use of the scripting language and modal windows for yourself and your clients to use. Cons The scripting language is not flexible as R; it is a lot like SAS with not much syntax overlap. PR Programmer Programmer Used the software for: 1-3 years ### "Need to improve many functions within the tool" 2.0 August 22, 2022 Pros The tool has options for data visualization and reporting which is good Cons The tool is very slow it gets stuck a lot when coding and the visualisation part can be improved and can be made more easy to use adding drag and drop options ST Statistician Statistician Used the software for: 3-5 years ### "Menu driven statistical software from the prestigous company of SAS" 5.0 July 28, 2021 I like this software and have good experience in using it for statistical analysis. As I mentioned before I could recommend this software for industrial use but for academia, there are alternative options that are free or less expensive. Pros JMP provides the power of SAS-Stat in an easy menu-driven manner. It has four versions: JMP® Live, JMP® Pro, JMP® Clinical, and JMP® Genomics. The first two versions are for statistical modeling, the third is for pharmaceutical industries (facilitate hard works that previously need coding using SAS-Stat) and the last is for Genomics analysis. JMP live lets to collaborate using a web interface. JMP Pro is an advanced and easy-to-use statistical modeling software that supports novel high-dimensional statistical methods for example Functional Data Analysis which is not provided in other common menu-driven statistical software. Last but not least the JMP provides the advanced adaptive design of experiments which is needed in the optimization of products in industry. Cons JMP is expensive so I do not recommend it for academia but I highly recommend it for industrial use where getting fast and accurate result paly a role in the benefit of companies. EE Electrical Engineer ll Electrical Engineer ll Used the software for: 3-5 years ### "Best data analysis tool" 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 5.0 5.0 Likelihood to Recommend 9/10 January 14, 2019 Good software for novice learners to be excellent in analyzing data. Overall easy to use software Pros Can create quick addins to plot graphs in different formats. Scriptable to automate tasks. Options for analyzing the data using different algorithms and properly documented help files to understand the functionality of the algorithms. Cons Little expensive for individual user license. So having a data analyst career with only JMP software knowledge will not outside our Work organization MD Managing Director and President Managing Director and President Used the software for: 3-5 years ### "Saving time, saving money" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 February 14, 2019 I have solved a lot of business problems with JMP, from reliability studies of new instruments considered for business acquisition or partnership, for optimization of processes in bio-detection technologies, and chemical formulations for bio-assays. I can no longer imagine carrying out scientific investigation without the use of JMP Statistical Software. It has been a blessing to use it. Pros I have used JMP for all types of inquiry from popular statistical analysis such as T-Test, analysis of variance to more exciting and very informative design of experiments. The custom design is one of my favorites, the first "go-to". It has saved me a lot time, provided valuable information for the optimization of processes and chemical formulations. Cons Discrimination between the ordinary package and the Pro version, and the cost associated with the Pro version. TL Tinkergarten Leader and Scout Tinkergarten Leader and Scout Used the software for: 3-5 years ### "Perfect for sharing technical results with any audience" 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 4.0 4.0 Likelihood to Recommend 10/10 August 28, 2018 Pros The ability to quickly analyze multiple variables, create models and generate lovely graphics that tell a story for non-technical audiences is so valuable! Cons Some statistical techniques are so easy to use and then misinterpret, but that is an issue with most statistical software! Joey T. Upstream Process Development Engineer II Used the software for: 3-5 years ### "Most well known statistical software in the market" 5.0 February 5, 2019 Used JMP and successfully increased production. Pros Very powerful statistical software, well known in the pharma industry Cons It could be confusing to use sometimes. Additional training may be needed. Kevin N. Process Development Engineer Used the software for: 3-5 years ### "Excellent Statistical Software with a good GUI" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 9/10 August 29, 2019 JMP allows us to measure the performance of our R&D devices (based on measurable objective outputs) compared to current standard of care devices. Pros I have been using this since my graduate school days and it still allows me to perform powerful statistical analyses and create very nice figures. Cons The GUI is not intuitive at first, but given a little time it is easily navigable. Other than this, I have noever had an issue with the software. [View all Reviews](https://www.capterra.com/p/151815/JMP-Statistical-Software/reviews/) ## Top-rated software of 2026 ### Fill out the form and we'll send a list of the top-rated software based on real user reviews directly to your inbox. Popular comparisons [Microsoft Power BI vs JMP](https://www.capterra.com/compare/151815-176586/JMP-Statistical-Software-vs-Power-BI)[Google Analytics 360 vs JMP](https://www.capterra.com/compare/151815-177042/JMP-Statistical-Software-vs-Google-Analytics) [Tableau vs JMP](https://www.capterra.com/compare/151815-208764/JMP-Statistical-Software-vs-Tableau)[Minitab vs JMP](https://www.capterra.com/compare/109731-151815/Minitab-Statistical-Software-vs-JMP-Statistical-Software)