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IBM SPSS Statistics pros and cons

Vendor: IBM

4.1 out of 5

40 reviews
89% willing to recommend

Pros & Cons summary

IBM SPSS Statistics offers ease of use and comprehensive statistical analysis with robust capabilities like machine learning and regression. Ideal for handling large datasets, the software supports analyses such as ANOVA. Although highly regarded for its experienced base, challenges include limited data visualization, documentation, Big Data handling, and advanced modeling support. It lacks predictive analytics features, making it less competitive in AI-driven automation.

Buyer's Guide

Get pricing advice, tips, use cases and valuable features from real users of this product.

Prominent pros & cons

PROS

IBM SPSS Statistics offers ease of use for users with minimal programming experience, allowing for comprehensive statistical analysis.

It provides robust analytical capabilities, including machine learning, regression, descriptive statistics, and factor analysis.

IBM SPSS Statistics' ability to handle large datasets is akin to heavy artillery in analytical tools, making it invaluable for extensive analytic tasks.

The software offers rich functionality and supports a variety of analyses like ANOVA and geographic analysis for improved research consistency.

IBM SPSS Statistics is highly valued for its long-standing presence and experienced resource base, making it a preferred choice over other software.

CONS

IBM SPSS Statistics has limitations in data visualization, making it challenging to create effective graphical outputs compared to some competitors like Minitab.

Documentation for features like macros and programming functions is insufficient, leaving beginners struggling to understand and use the software effectively.

The software's ability to handle Big Data is lacking, often slowing down when processing large datasets without adequate computational power.

There is limited support for advanced statistical modeling and the need for more detailed, explanatory reports alongside simple outcomes.

IBM SPSS Statistics lacks features for predictive analysis using artificial intelligence, making it less competitive in terms of advanced analytics and automation.

IBM SPSS Statistics Pros review quotes

Associate Professor Of Statistics at a university with 10,001+ employees

Jan 14, 2026

In comparison with other software, I found IBM SPSS Statistics to be the best one from my perspective.

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Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

Jan 26, 2025

SPSS is perfectly adequate if all you want are some results.

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Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

Oct 22, 2024

It is perfectly adequate if all you need are the results and not the trail of evidence.

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IBM SPSS Statistics

Free Report: IBM SPSS Statistics Reviews and More

Learn what your peers think about IBM SPSS Statistics. Get advice and tips from experienced pros sharing their opinions. Updated: May 2026.

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Md Masudul Hassan

Agricultural Finance and IT Researcher at Sher-e-Bangla Agricultural University

Jan 27, 2024

The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis.

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Software Engineer at a university with 10,001+ employees

Sep 21, 2023

The most valuable feature is its robust statistical analysis capabilities.

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Olawunmi Ogunde

Business Intelligence Analyst at University of Huddersfield

Jun 1, 2023

One feature I found very valuable was the analysis of variance (ANOVA).

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Research Executive at NielsenIQ

Mar 1, 2024

The software offers consistency across multiple research projects helping us with predictive analytics capabilities.

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Associate Professor Of Statistics at a university with 10,001+ employees

Sep 13, 2023

IBM SPSS Statistics depends on AI.

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Patrick Scolyer-Gray

Founder & CEO at Pathbreaker Pty Ltd

Sep 20, 2022

SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools.

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Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

Jun 26, 2022

The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful.

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IBM SPSS Statistics Cons review quotes

Associate Professor Of Statistics at a university with 10,001+ employees

Jan 14, 2026

IBM SPSS Statistics is mostly working with structured data. However, if you are having unstructured data, IBM SPSS Statistics is not able up to now to work with it.

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Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

Jan 26, 2025

I'm unsure if SPSS has a commercial offering for big servers, unlike KNIME, which does.

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Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

Oct 22, 2024

IBM SPSS Statistics does not keep you close to your data like KNIME.

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IBM SPSS Statistics

Free Report: IBM SPSS Statistics Reviews and More

Learn what your peers think about IBM SPSS Statistics. Get advice and tips from experienced pros sharing their opinions. Updated: May 2026.

893,244 professionals have used our research since 2012.

Md Masudul Hassan

Agricultural Finance and IT Researcher at Sher-e-Bangla Agricultural University

Jan 27, 2024

In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options.

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Software Engineer at a university with 10,001+ employees

Sep 21, 2023

Improvements are needed in the user interface, particularly in terms of user-friendliness.

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OO

Olawunmi Ogunde

Business Intelligence Analyst at University of Huddersfield

Jun 1, 2023

I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable.

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Research Executive at NielsenIQ

Mar 1, 2024

In some cases, the product takes time to load a large dataset. They could improve this particular area.

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Associate Professor Of Statistics at a university with 10,001+ employees

Sep 13, 2023

The solution needs to improve forecasting using time series analysis.

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Patrick Scolyer-Gray

Founder & CEO at Pathbreaker Pty Ltd

Sep 20, 2022

SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous.

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Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

Jun 26, 2022

IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert.

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