Statistical software · IBM

IBM SPSS Statistics

Menu-driven desktop statistics package for hypothesis testing, survey analysis, and predictive modeling, widely used in social-science research.

IBM SPSS Statistics is desktop statistical software built around point-and-click menus backed by an optional command syntax for reproducibility. It covers descriptive statistics, hypothesis testing, regression, and forecasting through a base package plus separately licensed modules (Advanced Statistics, Forecasting, Complex Samples). It is aimed at researchers and analysts who want guided statistical workflows without programming, in contrast to code-first tools like R or Stata. Licensing is modular: a base subscription plus optional add-on modules, sold monthly, quarterly, or annually, with perpetual and campus-wide licenses also available through IBM and its resellers. It remains a mainstay in social science, market research, and healthcare departments that value its guided interface and long institutional history.

At a glance

Vendor IBM
Pricing model Subscription
Free tier No
Deployment Self-hosted
Open source No
Best for Academic researchers and market-research analysts who need guided hypothesis testing without writing code.

Pricing

Per-authorized-user subscription (monthly, quarterly, or annual) with a base package plus separately priced add-on modules; perpetual and campus licenses also sold.

Plan Price Notes
Base Starting at $99.00 USD per authorized user statistics base, data preparation, bootstrapping
Custom Tables & Advanced Statistics Starting at $79.00 USD per authorized user add-on module: regression, advanced statistics, custom tables
Forecasting & Decision Trees Starting at $79.00 USD per authorized user add-on module: forecasting, decision trees, neural networks, RFM analysis
Complex Sampling & Testing Starting at $79.00 USD per authorized user add-on module: complex samples, conjoint analysis, exact tests, missing values

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • Descriptive statistics and hypothesis testing (t-tests, ANOVA)
  • Regression and advanced statistical modeling
  • Forecasting and decision trees
  • Complex sample survey analysis
  • Command syntax for reproducible analysis
  • Data preparation, weighting, and bootstrapping
  • Custom tables and reporting output

Integrations

Profile last reviewed September 21, 2026

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