IBM SPSS Statistics 2026: Benefits, Features & Pricing

Wondering if IBM SPSS Statistics is right for your organization?

Our Reporting Software selection experts can help you in 15 minutes or less.

On this page

Overview
Pricing and Plans
Features
Integrations
User Reviews

Overview

IBM SPSS Statistics

4.5

(644)

Pricing

Pricing available upon request

About IBM SPSS Statistics

IBM SPSS Statistics is a cloud-based data analysis engine that helps individuals and enterprises by providing statistical foresight to improve efficiency across the business. Designed for businesses of all sizes, it offers solutions including fraud mitigation, risk management and enterprise data offloading.

IBM SPSS Statistics enables optimization of hiring processes through big data and machine-learning algorithms. Its database management module allows users to scale transaction processes and store information as structured and unstructured data. It provides additional services such as business intelligence, predictive analytics and financial performance oversight.

IBM SPSS Statistics provides data governance and enables businesses to build integration tools to replicate information. Further, Its SPSS modeler module helps users to manage complete data science cycle. Support is extended via phone, email and documentation and pricing is available on request.

IBM SPSS Statistics Screenshots

IBM SPSS Statistics Pricing and Plans

Starting price: $99.00

Free Trial

Free Version

Basic

$99.00

No plan information available

Confused about pricing? We've got you covered.

Get a personalized pricing breakdown tailored to your specific needs—no guesswork, no generic estimates.

IBM SPSS Statistics Features

Popular features found in Reporting
Ad hoc Query
Customizable Dashboard
Dashboard Creation
Data Import/Export
Drag & Drop
Forecasting
Multiple Data Sources
OLAP
Performance Metrics
Scheduled/Automated Reports
Search/Filter
More features of IBM SPSS Statistics
Access Controls/Permissions
Activity Dashboard
Ad hoc Analysis
Ad hoc Reporting
Alerts/Notifications
API
Association Discovery
Bayesian Analysis
Budgeting/Forecasting
Charting
Collaboration Tools
Compliance Tracking
Customizable Branding
Customizable Reports
Customization
Dashboard
Database Support
Data Capture and Transfer
Data Cleansing
Data Clustering
Data Connectors
Data Discovery
Data Extraction
Data Management
Data Mapping
Data Migration
Data Security
Data Storage Management
Data Transformation
Data Visualization
Decision Tree
File Storage
High Volume Processing
Key Performance Indicators
Machine Learning
Metadata Management
Monitoring
Multiple Scoring Models
Multivariate Analysis
Natural Language Search
Neural Network Modeling
Predictive Analytics
Predictive Modeling
Query Builder
Real-Time Analytics
Real-Time Data
Real-Time Reporting
Regression Analysis
Reporting/Analytics
Reporting & Statistics
Role-Based Permissions
Sales Trend Analysis
Secure Data Storage
Self-service Analytics
Self Service Data Preparation
Sentiment Analysis
SSL Security
Statistical Analysis
Statistical Process Control
Statistical Simulation
Storytelling
Survival Analysis
Templates
Third-Party Integrations
Time Series Analysis
Trend Analysis
User Management
Visual Analytics
Visual Discovery
What-if Analysis
Widgets

IBM SPSS Statistics Integrations

Microsoft Excel

Integration rated 4.6 from 20 reviews

IBM SPSS Statistics User Reviews

Overall Rating

4.5

Ratings Breakdown

59%

35%

Secondary Ratings

Ease of Use

4.0

Value for money

4.2

Customer support

4.1

Functionality

4.4

Akshay A.

Verified reviewer

Internet

11-50 employees

Used weekly for less than 12 months

Review source

Reviewed April 2020

Gets You Results with a Reasonable Learning Curve

I used this software for Market Research related applications and this helped me quickly complete the tests and save them as per how I wanted it. In the projects I used it for, it gave out some interesting results and takeaways which helped in business planning.

Ratings Breakdown

Ease of use

Value for money

Functionality

Pros:

1. It literally covers just so many options of tests, from regression to anova and much more. 2. It's like a one stop destination for all queries related to data 3. Can handle massive amounts of data and inputs

Cons:

1. A manual/tips section within the software could have eased my learning curve to an extent. 2. UI/UX can be improved 3. High cost

Reasons for switching to IBM SPSS Statistics

Covers more tests etc as compared to MS Excel.

Verified

Reviewer

Marketing and Advertising

1001-5000 employees

Used weekly for less than 6 months

Review source

Reviewed September 2024

SPSS- the originator of statistical analytics world

Excellent Analytics tool but for pro level analysts only.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

SPSS is the pioneer in the statistical reporting world. It have advanced analytics function with AI enable predictive model. The kind of reports you can generate from it using BI is just awesome. Very smooth operation and wide level of inputs/ data sheets are accepted. Simply the best

Cons:

1. It takes a lot of bandwidth to operate 2. No mobile app available.. already in your system 3. One needs to learn the tool well to start operating 4. Tutorials are not very useful

Reasons for switching to IBM SPSS Statistics

SAS was not offering vertical integration with our existing internal tool.

George O.

Verified reviewer

Research

501-1000 employees

Used weekly for more than 2 years

Review source

Reviewed February 2019

The Leading application for data analysis

Previously 4

It is a software that I was able to use with my small knowledge on software based analysis.

Ratings Breakdown

Ease of use

Previously 4

Value for money

Customer support

Functionality

Previously 5

Pros:

SPSS is an excellent computer application for managing large data volumes. The desktop features allows for the non specialists to be able to analyze data and to use the various statistical functions.

Cons:

The graphics for reporting i.e the output graphs and charts are not so attractive to the eye

Verified

Reviewer

Consumer Goods

1001-5000 employees

Used daily for more than 2 years

Review source

Reviewed November 2019

Best stats package with the ease of functionality and mechanism.

My overall experience with SPSS has been great and I strongly recommend it. It is very useful in market research and business analytics industry as most research projects deal with descriptive and multivariate statistical approach. I have been using SPSS for last ten years and it has provided very good functionality with each update and version. Overall I highly recommend this software package.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Very easy to use. High level functionality and easy to perform mechanisms. Fine way of operations. Can run anything from basic descriptive statistics to high level simulations. Easy to import data in different formats (csv, xls, sav, etc.). Data cleaning process are easily executed which includes missing value imputation, data recoding, and data restructuring. Very functional in running multivariate methods like exploratory factor analysis, ANOVA, linear regression, logistic regression, discriminant analysis, and MANCOVA. Most operations are done through interactive dashboard, which is hassle free. Overall it is a great statistical package to run different analysis at a very affordable price.

Cons:

It is tedious to do multiple iterations using SPSS. Syntax functionality is low and lines of codes become exhaustive when you run monte carlo simulations. The most challenging aspect is to run simulations with large data sets. The support provided by the support team doesn't extend beyond technical support. SPSS requires add ons for running the simulations which cost extra to the users. Overall it is deficient in running certain simulations.

Reasons for switching to IBM SPSS Statistics

SPSS has provides better functionality compared to JMP as the dashboard abilities are much better than JMP. SPSS is highly effective when running multivariate statistics methods and the ease of use add upto the value compared to JMP. Overall very efficient and highly functional compared to JMP.

Luca G.

Verified reviewer

Market Research

2-10 employees

Used daily for more than 2 years

Review source

Reviewed September 2020

The history of statistics

This is the software that I use the most for my work and, even if at times I have to struggle a little to perform "new things", I always find a way. I managed to automate many many tasks and I have reached a very high level of productivity, meaning that I can click a button, let the computer run all nights, and the morning after I find all the jobs done.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

The ability to perform almost all easy and complex statistical analysys without writing code AND the possibility to automate simple and complex tasks by actually writing code. This software is huge and it supports a very large set of feautures.

Cons:

This software is a milestone for statisticians of all over the world. I've been using it for more than 30 years. This means that this software is aging more and more, and perhaps it needs a faster modernization cycle than the current.

Reasons for choosing IBM SPSS Statistics

No other products were considered, SPSS doesn't have any REAL alternative. It can be used together with R to satisfy almost all statistical need.

Reasons for switching to IBM SPSS Statistics

Less complex to use and faster to achieve results.

Verified

Reviewer

Research

Self-Employed

Used monthly for more than 2 years

Review source

Reviewed May 2020

SPSS is Value for Money

I have used it to analyze data collected from market research for the services I offer. I am able to then make informed decisions from the trends I observe through the analyses.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

As a student of the social sciences, I was expected to conduct research and calculate appropriate statistics in order to draw accurate conclusions. I became overwhelmed by the complex nature of these calculations. I was relieved to discover that, in the real world, I was not expected to calculate t-tests, ANOVA, chi-square (and countless others) manually. I remember having several aha moments during my Data Analysis course as we were taught the software step-by-step. This software has since become a mainstay in my personal and professional life. I once used it to analyze upwards of 300 questionnaires and was blown away at how easily and quickly I was able to compare the data. There were 6 demographic questions and I was able to breakdown responses based on each classification. It offers a wealth of statistical capabilities at the touch of a button.

Cons:

It is intimidating at first. It is also rather expensive.

Reasons for choosing IBM SPSS Statistics

I never learned to do statistics in Excel. So I wanted to stick to what I knew. I also anticipated comparing large amounts of data, which SPSS does more efficiently.

Verified

Reviewer

Government Administration

Self-Employed

Used weekly for less than 12 months

Review source

Reviewed August 2019

The Only Statistical Tool You Need

SPSS has a learning curve in the beginning but after working out a few kinks, the program allows the user to do all their data needs.

Ratings Breakdown

Ease of use

Value for money

Functionality

Pros:

I used SPSS to conduct my masters research into federal employee retention of millennials. The program was able to handle data points from all 15 federal agencies over 10 years along with 20 plus other data factors. SPSS made it easy to organize the data and execute stat checks on the research.

Cons:

There were times where I had to consult an SPSS research guide in order to execute certain formulas. SPSS is a vast program but it can be a little daunting when you first start out.

Reasons for switching to IBM SPSS Statistics

SPSS provides more functionality and features than Microsoft Excel.

Diego M.

Verified reviewer

Research

Self-Employed

Used monthly for less than 12 months

Review source

Reviewed August 2019

A great tool for statistical analysis of large datasets

Ratings Breakdown

Ease of use

Customer support

Functionality

Pros:

After learning the basics of the software it becomes intuitive to use, if you use their guide you can make it through the steps to perform any basic task. It had multiple functions that were very useful for most sorts of statistical analysis that are required in quantitative research.

Cons:

There should be a quicker way to change the types of variables of multiple variables in use, and the graphs should be easier to customize.

Reasons for switching to IBM SPSS Statistics

SPSS allowed for better handling of large datasets and more appropriate data analysis.

Saurav C.

Verified reviewer

Environmental Services

1001-5000 employees

Used monthly for less than 12 months

Review source

Reviewed September 2019

Very useful for statistical analyses

I was trying to run a set of statistical analyses on climatic variables that include temperature and precipitation on a monthly time scale

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

I have used quite a few statistical softwares that include SPSS, SAS, R. SPSS was very useful for the climate data that I was working with. I felt it was easier than SAS as SAS involved a lot of coding

Cons:

It did take some time to get accustomed with SPSS but that would be true for most softwares out there

Reasons for switching to IBM SPSS Statistics

I wanted to use different statistical softwares to see which one I like the most for the data I had

Verified

Reviewer

Biotechnology

2-10 employees

Used monthly for less than 6 months

Review source

Reviewed July 2020

New user

It has not been that bad, but at the beginning I struggle to get use to all the stuff that's in there, as well no how should I input the data.

Ratings Breakdown

Ease of use

Functionality

Pros:

I like it's friendly for new users since the platform seems easy to use and you don't struggle looking for what you want, the menus are quite clear.

Cons:

You need to know special features to make the analysis, like how to input the data, style of data, etc, so at the beginning it can be a little difficult.

Reasons for switching to IBM SPSS Statistics

XLSTAT I used it for a while but it's a little difficult and also my Excel kept crashing, so needed to look for a new software.

Showing 1 - 10 of 644 Reviews

See All Reviews