Find the SPSS Package that fits your needs
IBM®️ SPSS®️ Statistics is now available by subscription, offering even greater speed and ease of use than ever before—with no more software licenses or version updates to worry about.
The traditional perpetual license can still be a great fit for many individuals and organizations, and it will continue to be available as well.
With the introduction of the subscription model, IBM has also introduced a new way of organizing modules. If you are moving from the traditional perpetual license, you'll want to take special note of which add-ons you should purchase in order to have access to the same features and functionality.
Features and Modules
Looking for a feature or capability? Search by keyword below:
Subscription |
Traditional or Perpetual |
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Modules |
Base | Custom Tables & Advanced Stats | Complex Sampling & Testing | Forecasting & Decision Trees | Base | Standard | Professional | Premium | Trial |
| Statistics Base | |||||||||
| Data Preparation
– Automated data preparation—enhanced model viewer for automated data preparation – Validate data—streamline the process of validating data before analyzing it – Anomaly detection—identify unusual cases in a multivariate setting – Optimal binning |
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| BootstrappingThe Bootstrapping module makes bootstrapping, a technique for testing model stability, easier. It estimates sampling distribution of an estimator by resampling with replacement from the original sample. | |||||||||
| Advanced Statistics
Advanced Statistics includes the following features:
Cox regression General linear modeling (GLM) – General factorial – Multivariate (MANOVA) – Repeated measures – Variance components Generalized linear models and generalized estimating equations – Gamma regression – Poisson regression – Negative binomial GENLOG for loglinear and logit Generalized linear mixed models (GLMM) (ordinal targets included) Bayesian statistics Hierarchical loglinear models Kaplan Meier Linear mixed-level models (aka hierarchical linear models) Survival Variance component estimation |
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| RegressionRegression enables you to predict categorical outcomes and apply various nonlinear regression procedures. You can use these procedures for business and analysis projects where ordinary regression techniques are limiting or inappropriate. | |||||||||
| Custom TablesCustom Tables enables you to summarize SPSS Statistics data, and display your analyses as presentation-quality, production-ready tables. It provides analytical capabilities to help you learn from your data, and offers advanced features that allow you to build tables people can easily read and interpret. | |||||||||
| Missing ValuesThe Missing Values module helps you manage missing values in your data and draw more valid conclusions. Uncover the patterns behind missing data, estimate summary statistics and impute missing values using statistical algorithms. | |||||||||
| Categories– Correspondence analysis (ANACOR) – Principal components analysis for categorical data (CATPCA; replaces PRINCALS) – Ridge regression, lasso, elastic net (CATREG) – CORRESPONDENCE – Nonlinear canonical correlation (OVERALS) – Multidimensional scaling for individual differences scaling with constraints (PROXSCAL) – Preference scaling (PREFSCAL; multidimensional unfolding) – Multiple correspondence analysis | |||||||||
| ForecastingForecasting provides advanced capabilities that enable both novice and experienced users to develop reliable forecasts using time-series data. Users with less expertise can create sophisticated forecasts that integrate multiple variables, while experienced forecasters can use the software to validate their models. | |||||||||
| Decision TreesDecision Trees enables you to identify groups, discover relationships between them and predict future events. It features visual classification and decision trees to help you present categorical results and more clearly explain analysis to non-technical audiences. Create classification models for segmentation, stratification, prediction, data reduction and variable screening. | |||||||||
| Neural NetworksNeural Networks uses nonlinear data modeling to discover complex relationships and derive greater value from your data. Take advantage of multilayer perceptron (MLP) or radial basis function (RBF) procedures. You can set the conditions — control the training stopping rules and network architecture — or let the procedure choose. | |||||||||
| Direct MarketingDirect Marketing lets you conduct advanced analysis of your customers or contacts to help improve your results. Choose from recency, frequency and monetary value (RFM) analysis, cluster analysis, prospect profiling, postal code analysis, propensity scoring and control package testing. | |||||||||
| Complex SamplesComplex Samples software can compute statistics and standard errors from complex sample designs by incorporating the designs into survey analysis. This solution helps you produce a more accurate picture by allowing subpopulation assessments to consider other subpopulations. | |||||||||
| ConjointThe Conjoint module provides conjoint analysis to help you better understand consumer preferences, trade-offs and price sensitivity. It enables you to uncover more information about how customers compare products in the marketplace, and measure how individual product attributes affect consumer behavior. | |||||||||
| Exact TestsExact Tests enables you to analyze rare occurrences in large databases or work with small samples. With over 30 exact tests, you can analyze your data where traditional tests fail — for example, if you have a small number of case variables with a high percentage of responses in one category or have to subset your data into fine breakdowns. | |||||||||
| SPSS AmosAmos 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. (Windows Desktop Only) |
Add-On | Add-On | Add-On | Add-On | |||||
| Purchase | Purchase | Purchase | Purchase | Purchase | Purchase | Purchase | Purchase | Trial | |
Subscription
Base License
Modules |
Base |
| Statistics Base | |
| Data Preparation – Automated data preparation—enhanced model viewer for automated data preparation – Validate data—streamline the process of validating data before analyzing it – Anomaly detection—identify unusual cases in a multivariate setting – Optimal binning |
|
| BootstrappingThe Bootstrapping module makes bootstrapping, a technique for testing model stability, easier. It estimates sampling distribution of an estimator by resampling with replacement from the original sample. | |
| Advanced Statistics Advanced Statistics includes the following features: Cox regression General linear modeling (GLM) – General factorial – Multivariate (MANOVA) – Repeated measures – Variance components Generalized linear models and generalized estimating equations – Gamma regression – Poisson regression – Negative binomial GENLOG for loglinear and logit Generalized linear mixed models (GLMM) (ordinal targets included) Bayesian statistics Hierarchical loglinear models Kaplan Meier Linear mixed-level models (aka hierarchical linear models) Survival Variance component estimation |
|
| RegressionRegression enables you to predict categorical outcomes and apply various nonlinear regression procedures. You can use these procedures for business and analysis projects where ordinary regression techniques are limiting or inappropriate. | |
| Custom TablesCustom Tables enables you to summarize SPSS Statistics data, and display your analyses as presentation-quality, production-ready tables. It provides analytical capabilities to help you learn from your data, and offers advanced features that allow you to build tables people can easily read and interpret. | |
| Missing ValuesThe Missing Values module helps you manage missing values in your data and draw more valid conclusions. Uncover the patterns behind missing data, estimate summary statistics and impute missing values using statistical algorithms. | |
| Categories– Correspondence analysis (ANACOR) – Principal components analysis for categorical data (CATPCA; replaces PRINCALS) – Ridge regression, lasso, elastic net (CATREG) – CORRESPONDENCE – Nonlinear canonical correlation (OVERALS) – Multidimensional scaling for individual differences scaling with constraints (PROXSCAL) – Preference scaling (PREFSCAL; multidimensional unfolding) – Multiple correspondence analysis |
|
| ForecastingForecasting provides advanced capabilities that enable both novice and experienced users to develop reliable forecasts using time-series data. Users with less expertise can create sophisticated forecasts that integrate multiple variables, while experienced forecasters can use the software to validate their models. | |
| Decision TreesDecision Trees enables you to identify groups, discover relationships between them and predict future events. It features visual classification and decision trees to help you present categorical results and more clearly explain analysis to non-technical audiences. Create classification models for segmentation, stratification, prediction, data reduction and variable screening. | |
| Neural NetworksNeural Networks uses nonlinear data modeling to discover complex relationships and derive greater value from your data. Take advantage of multilayer perceptron (MLP) or radial basis function (RBF) procedures. You can set the conditions — control the training stopping rules and network architecture — or let the procedure choose. | |
| Direct MarketingDirect Marketing lets you conduct advanced analysis of your customers or contacts to help improve your results. Choose from recency, frequency and monetary value (RFM) analysis, cluster analysis, prospect profiling, postal code analysis, propensity scoring and control package testing. | |
| Complex SamplesComplex Samples software can compute statistics and standard errors from complex sample designs by incorporating the designs into survey analysis. This solution helps you produce a more accurate picture by allowing subpopulation assessments to consider other subpopulations. | |
| ConjointThe Conjoint module provides conjoint analysis to help you better understand consumer preferences, trade-offs and price sensitivity. It enables you to uncover more information about how customers compare products in the marketplace, and measure how individual product attributes affect consumer behavior. | |
| Exact TestsExact Tests enables you to analyze rare occurrences in large databases or work with small samples. With over 30 exact tests, you can analyze your data where traditional tests fail — for example, if you have a small number of case variables with a high percentage of responses in one category or have to subset your data into fine breakdowns. | |
| SPSS AmosAmos 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.
(Windows Desktop Only)
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| Purchase |
Custom Tables & Advanced Stats
Complex Sampling & Testing
Forecasting & Decision Trees
Traditional / Perpetual
Base
Modules |
Base |
| Statistics Base | |
| Data Preparation | |
| Bootstrapping | |
| Advanced Statistics | |
| Regression | |
| Custom Tables | |
| Missing Values | |
| Categories | |
| Forecasting | |
| Decision Trees | |
| Neural Networks | |
| Direct Marketing | |
| Complex Samples | |
| Conjoint | |
| Exact Tests | |
| SPSS Amos
(Windows Desktop Only)
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| Purchase |
Standard
Professional
Premium
Free Trial
Subscription vs. One-time Purchase
Gain flexible payment plans and easy software updates when available. Choose add-on options to get the capabilities you need.
Choose a perpetual license for one of the four editions, which group essential features, functionality and usage requirements.
Subscription
- Desktop package for Microsoft Windows and Apple macOS
- Pay monthly or annually
- Includes Base Package; three optional add-ons are available for purchase=
- Requires internet connectivity and IBMid to log in; no license authorization code required
- Analyze and store data on your computer, not in the cloud
- Includes technical support
Traditional / Perpetual
- Desktop package for Microsoft Windows and Apple macOS; server options also available
- Perpetual licenses
- Purchase one license per user or one license for a pool of users
- Requires license authorization code for deployment
- Analyze and store data on your computer, not in the cloud
- Includes technical support
Still have questions?
Send them our way and an SPSS Statistics expert will get back with you by chat, phone, or email.
Product Packages
Subscription
Buy monthly or annually with no more software licenses or version updates to worry about. The traditional perpetual license can still be a great fit for many individuals and organizations, and it will continue to be available as well. View features for the Base package and three add-on options for Microsoft Windows or Apple macOS. No authorization code required.
| Base | Add-on: Custom tables, advanced statistics | Add-on: Complex sampling, testing | Add-on: Forecasting, decision trees |
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Traditional / Perpetual
IBM® SPSS Statistics Simplified
Subscription Plan |
Traditional or Perpetual |
||||||||
Modules |
Base | Custom Tables & Advanced Stats | Complex Sampling & Testing | Forecasting & Decision Trees | Base | Standard | Professional | Premium | Trial |
| Statistics Base | |||||||||
| Data Preparation
– Automated data preparation—enhanced model viewer for automated data preparation – Validate data—streamline the process of validating data before analyzing it – Anomaly detection—identify unusual cases in a multivariate setting – Optimal binning |
|||||||||
| BootstrappingThe Bootstrapping module makes bootstrapping, a technique for testing model stability, easier. It estimates sampling distribution of an estimator by resampling with replacement from the original sample. | |||||||||
| Advanced Statistics
Advanced Statistics includes the following features:
Cox regression General linear modeling (GLM) – General factorial – Multivariate (MANOVA) – Repeated measures – Variance components Generalized linear models and generalized estimating equations – Gamma regression – Poisson regression – Negative binomial GENLOG for loglinear and logit Generalized linear mixed models (GLMM) (ordinal targets included) Bayesian statistics Hierarchical loglinear models Kaplan Meier Linear mixed-level models (aka hierarchical linear models) Survival Variance component estimation |
|||||||||
| RegressionRegression enables you to predict categorical outcomes and apply various nonlinear regression procedures. You can use these procedures for business and analysis projects where ordinary regression techniques are limiting or inappropriate. | |||||||||
| Custom TablesCustom Tables enables you to summarize SPSS Statistics data, and display your analyses as presentation-quality, production-ready tables. It provides analytical capabilities to help you learn from your data, and offers advanced features that allow you to build tables people can easily read and interpret. | |||||||||
| Missing ValuesThe Missing Values module helps you manage missing values in your data and draw more valid conclusions. Uncover the patterns behind missing data, estimate summary statistics and impute missing values using statistical algorithms. | |||||||||
| Categories– Correspondence analysis (ANACOR) – Principal components analysis for categorical data (CATPCA; replaces PRINCALS) – Ridge regression, lasso, elastic net (CATREG) – CORRESPONDENCE – Nonlinear canonical correlation (OVERALS) – Multidimensional scaling for individual differences scaling with constraints (PROXSCAL) – Preference scaling (PREFSCAL; multidimensional unfolding) – Multiple correspondence analysis | |||||||||
| ForecastingForecasting provides advanced capabilities that enable both novice and experienced users to develop reliable forecasts using time-series data. Users with less expertise can create sophisticated forecasts that integrate multiple variables, while experienced forecasters can use the software to validate their models. | |||||||||
| Decision TreesDecision Trees enables you to identify groups, discover relationships between them and predict future events. It features visual classification and decision trees to help you present categorical results and more clearly explain analysis to non-technical audiences. Create classification models for segmentation, stratification, prediction, data reduction and variable screening. | |||||||||
| Neural NetworksNeural Networks uses nonlinear data modeling to discover complex relationships and derive greater value from your data. Take advantage of multilayer perceptron (MLP) or radial basis function (RBF) procedures. You can set the conditions — control the training stopping rules and network architecture — or let the procedure choose. | |||||||||
| Direct MarketingDirect Marketing lets you conduct advanced analysis of your customers or contacts to help improve your results. Choose from recency, frequency and monetary value (RFM) analysis, cluster analysis, prospect profiling, postal code analysis, propensity scoring and control package testing. | |||||||||
| Complex SamplesComplex Samples software can compute statistics and standard errors from complex sample designs by incorporating the designs into survey analysis. This solution helps you produce a more accurate picture by allowing subpopulation assessments to consider other subpopulations. | |||||||||
| ConjointThe Conjoint module provides conjoint analysis to help you better understand consumer preferences, trade-offs and price sensitivity. It enables you to uncover more information about how customers compare products in the marketplace, and measure how individual product attributes affect consumer behavior. | |||||||||
| Exact TestsExact Tests enables you to analyze rare occurrences in large databases or work with small samples. With over 30 exact tests, you can analyze your data where traditional tests fail — for example, if you have a small number of case variables with a high percentage of responses in one category or have to subset your data into fine breakdowns. | |||||||||
| SPSS AmosAmos 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. (Windows Desktop Only) |
Add-On | Add-On | Add-On | Add-On | |||||
| Purchase | Purchase | Purchase | Purchase | ||||||
IBM® SPSS® Statistics enables organizations to gather rich insights from data with a powerful set of tools to validate assumptions, analyze past performance and forecast trends. To ensure that the most advanced techniques are available to a broader group of analysts and business users, enhancements have been made to the features and capabilities of the IBM SPSS Statistics portfolio.
Because IBM SPSS Statistics Subscription does not rely on the traditional SPSS Statistics licensing model, you are provided more flexibility with your purchasing options. You can purchase the software as a monthly subscription without any term commitments. The simplified packaging makes purchasing the right options to suit your needs a breeze.
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