IBM SPSS Statistics - 2026 Pricing, Features, Reviews & Alternatives

Reviewers appreciate IBM SPSS Statistics for its robust statistical analysis capabilities. They highlight the software's wide range of statistical tests, including regression and ANOVA, and its user-friendly interface. Users report that SPSS simplifies quantitative data analysis and provides accurate results quickly. However, some reviewers note that the software requires prior knowledge to select appropriate tests and mention the lack of commands for certain analyses. They also value the integration with other analytics platforms, enhancing its utility in complex data science tasks. Of the 39 IBM SPSS Statistics users who gave detailed accounts of their use of Statistical Analysis, 100% rated this feature as important or highly important.

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“SPSS has sophisticated statistical procedures that can perform a wide variety of statistical test. The downside is that the software does is not 'intelligent' and cannot really help users decide a suitable tests based on the data like other software do. You need to know exactly what you are doing to get good results from spss”

Ngha N.

Data Analyst

“Great software for statistical anlaysis with great interface. Give options of many statistic features to perform regression and aniva with large data sets.”

TP

Tauseef P.

Quality Engineer

Users report that IBM SPSS Statistics excels in reporting and statistics, offering tools to calculate and plot data effectively. They find the reporting capabilities user-friendly and intuitive, allowing for quick and clear presentation of analysis results. Reviewers appreciate the ability to create professional, understandable reports and the ease of moving reports between SPSS and other programs. However, some mention that while the reporting capabilities are good, they are not always presentation-ready. Of the 21 IBM SPSS Statistics users who gave detailed accounts of their use of Reporting & Statistics, 100% rated this feature as important or highly important.

Reviewers indicate that IBM SPSS Statistics provides useful data visualization tools, allowing for the creation of basic plots like bar charts and pie charts. They appreciate the ability to save and reuse visualization templates, which saves time. However, users feel that the graphics are not as appealing or customizable as those from other software like Excel or R. They often export visualizations to other programs for further customization. Despite this, users find the visualizations clear and helpful for interpreting data. Of the 37 IBM SPSS Statistics users who gave detailed accounts of their use of Data Visualization, 97% rated this feature as important or highly important.

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“It is very difficult to customize the graphics generated by SPSS unless the graph is saved as a PDF and then edited using a PDF editing software such as adobe illustrator. The base graphics are simply not as appealing as other statistical analysis software such as R or PRISM.”

GR

Gilbert R.

Postdoctoral research fellow

“The visualization of the tables or some graphs are very simple or not very attractive, which makes you turn to Excel to improve them and be able to put them in a report.”

Slash M.

Economist

Users find IBM SPSS Statistics' reporting and analytics capabilities comprehensive and easy to use. They highlight the seamless integration with programs like Word and Excel, which simplifies the reporting process. Reviewers appreciate the variety of analytics tools available, making it suitable for both novice and expert users. They report that the software allows for quick analysis and clear, concise reporting. However, some users mention that the reporting capabilities, while good, may lack the dynamic and aesthetic appeal of other software. Of the 36 IBM SPSS Statistics users who gave detailed accounts of their use of Reporting/Analytics, 97% rated this feature as important or highly important.

Reviewers appreciate IBM SPSS Statistics for its predictive analytics capabilities, noting its effectiveness in making data-driven decisions. They highlight the use of advanced algorithms and machine learning techniques to analyze large datasets and predict future outcomes. Users find the predictive modeling tools easy to use, even for those without extensive statistical knowledge. However, some reviewers express doubts about the accuracy of predictive analytics and suggest that other tools like Python might offer better performance. They also value the software's ability to handle both structured and unstructured data. Of the 18 IBM SPSS Statistics users who gave detailed accounts of their use of Predictive Analytics, 94% rated this feature as important or highly important.

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“IBM SPSS has a predictive modeller which is a comprehensive predictive analytics tool helping in making more effective decisions and improving outcomes. SPSS also enable data analysts to develop forecast and predict trend quickly and easily without being an experienced or expert statistician.”

AM

Alphonce M.

Data officer

“IBM's predictive analytics and statistics is a powerful tool for businesses and organizations seeking to uncover insights and make data-driven decisions. This technology utilizes advanced algorithms and machine learning techniques to analyze large data sets, identify patterns, and make predictions about future outcomes. IBM's solution offers a range of features and capabilities, including data visualization, statistical modeling, and predictive modeling. With these tools, businesses can gain a deeper understanding of their operations and customer behaviors, identify potential risks and opportunities, and make informed decisions that drive growth and success. IBM's solution has been widely adopted across a range of industries, including healthcare, finance, and retail. By leveraging the power of predictive analytics and statistics, businesses can gain a competitive edge in today's data-driven landscape.”

Dana M.

Marketing Management