Bridge the gap between data science and data understanding
Overview
Advanced analytics for deeper insights
The IBM® SPSS® integrates Statistics, Amos, and Modeler to help you analyze data, validate hypotheses, and build predictive models with confidence. From research to business applications, gain deeper insights and make data-driven decisions with scalable, intuitive tools.
IBM SPSS products
IBM SPSS Statistics is a comprehensive statistical analysis platform designed to help organizations and individuals extract reliable insights from data.
IBM SPSS Modeler is a leading visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists.
IBM® SPSS® Amos is a powerful structural equation modeling (SEM) software helping support your research and theories by extending standard multivariate analysis methods, including regression, factor analysis, correlation and analysis of variance.
IBM SPSS® Collaboration and Deployment Services enables the deployment and sharing of predictive analytics across the enterprise.
IBM® SPSS® Predictive Analytics Enterprise provides analytics for structured and unstructured data from any source .
See for yourself how IBM can transform your business into a data driven enterprise.
IBM® SPSS® Analytic Server enables IBM SPSS Modeler to use big data as a source for predictive modeling.
IBM SPSS Statistics Grad Pack and Faculty Pack are designed specifically for students and educators.
Features
Advanced analytics across the IBM SPSS ecosystem
Analyze trends and forecast outcomes with regression, classification, and time-series techniques to drive smarter decisions.
Prepare and analyze data with hypothesis testing, multivariate analysis, and custom tables for reliable insights.
Model complex relationships between observed and latent variables using intuitive path diagrams and advanced estimation.
Accelerate insights with automated modeling and drag-and-drop workflows that simplify complex data pipelines.
Use cases
Turn complex data into clear action
Segment audiences, predict campaign performance, and uncover drivers of loyalty with advanced analytics.
Forecast revenue, prioritize leads, and optimize pricing strategies with predictive insights.
Model patient outcomes, improve care quality, and support evidence-based decisions.
Forecast demand, optimize inventory, and improve logistics with data-driven insights.
Case studies
Great analysis to drive great outcomes
Honda R&D
Honda unlocked hidden insights from new sources of big data by deploying IBM SPSS Modeler and training their enginneers on a suite of advanced IBM Analytics tools, empowering them to uncover unexpected patterns in data and identify exciting new areas of research.
10
minutes to analyze over a million documents
Resources
Get started
IBM SPSS Statistics has been recognized by TrustRadius with the 2026 Buyer’s Choice Award in the Statistical Analysis category—a distinction that underscores the product’s enduring value to data professionals, researchers, academicians and organizations around the world.
Learn how to use linear regression analysis to predict the value of a variable based on the value of another variable.
Learn how logistic regression estimates the probability of an event occurring, based on a dataset of independent variables.
How to ensure accuracy in your research with IBM SPSS Statistics.
Introducing v32: AI meets advanced analytics