IBM SPSS Statistics
Uncover data insights that can help solve business and research problems
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IBM® SPSS® Statistics is a powerful statistical software platform. It offers a user-friendly interface and a robust set of features that lets your organization quickly extract actionable insights from your data. Advanced statistical procedures help ensure high accuracy and quality decision making. All facets of the analytics lifecycle are included, from data preparation and management to analysis and reporting.


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Benefits Easy to use

Prepare and analyze data through an intuitive user interface without having to write code using drag-and-drop.

Integrated with open source

Enhance SPSS syntax with R and Python using a library of extensions or by building your own.


Run descriptive statistics and regression analyses, view patterns of missing data and summarize variable distributions with an integrated interface.

Popular features
SURVREG AFT Estimate parametric accelerated failure time survival models.

Bayesian procedures Estimate Bayes factors and posterior distributions for parameters.

Estimated marginal means Compare group means using a general linear model approach.

Multilayer perceptron (MLP) network Predict or classify outcomes using neural network models.
Pricing plans

Choose from subscription or traditional licenses, with multiple options for capabilities based on need.


Take advantage of flexible payment plans, monthly or annually. Extend the Base edition with three optional add-ons.

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One-time purchases

Choose between Base, Standard, Professional and Premium packages with options to customize your configuration.

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Academic plans

Simplify the teaching and learning needs of academic institutions with site-wide licensing.

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Resources Talk Tech series

Get tips for SPSS Statistics 29 that help both novices and experts unlock richer insights from data

Learning guide

Read about the benefits of integrating SPSS Statistics 29 and open-source programming languages.

Demo videos

Watch videos, product tours, tutorials and more to help you accelerate data analysis with SPSS Statistics 29.

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