IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.
| Product | Market Share (%) |
|---|---|
| IBM SPSS Statistics | 15.4% |
| KNIME Business Hub | 24.3% |
| IBM SPSS Modeler | 17.9% |
| Other | 42.4% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Data Mining | Aug 28, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Aug 28, 2025 | Download |
| Comparison | IBM SPSS Statistics vs KNIME Business Hub | Aug 28, 2025 | Download |
| Comparison | IBM SPSS Statistics vs Weka | Aug 28, 2025 | Download |
| Comparison | IBM SPSS Statistics vs IBM SPSS Modeler | Aug 28, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Databricks | 4.1 | N/A | 96% | 91 interviewsAdd to research |
| KNIME Business Hub | 4.1 | 24.3% | 94% | 60 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 6 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 361 |
| Midsize Enterprise | 238 |
| Large Enterprise | 1239 |
IBM SPSS Statistics Benefits
Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:
IBM SPSS Statistics Features
Reviews from Real Users
IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.
An Emeritus Professor of Health Services Research at a university writes, "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 in a multidimensional setup space. It's the multidimensional space facility that is most useful."
A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”
IBM SPSS Statistics was previously known as SPSS Statistics.
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| Author info | Rating | Review Summary |
|---|---|---|
| Emeritus Professor of Health Services Research at University of South Wales | 4.5 | I used IBM SPSS Statistics mainly for cross tabs, correlation, regression, and chi-squared tests in my published papers. Although adequate, I now prefer KNIME for its ease of use and am learning R with RStudio for scientific purposes. |
| Emeritus Professor of Health Services Research at University of South Wales | 4.5 | I have primarily used IBM SPSS Statistics for survey analysis, including crosstabs and regression, but it's less intuitive compared to KNIME and R, which I've switched to. Although adequate for results, it separates users from their data trail. |
| Chief Technology Officer at LIbi Technologies | 4.5 | I've used IBM SPSS Statistics for decades; it's stable, scalable, and great for analytics, especially decision trees. Though the interface needs improvement, it's efficient, reliable, and offers good value, even if support could be better. |
| Agricultural Finance and IT Researcher at Sher-e-Bangla Agricultural University | 5.0 | I use IBM SPSS Statistics for data management and analysis, valuing its intuitive interface and features like factor analysis. It's smooth and reliable, saving time and money, though more affordable short-term licenses would be beneficial. |
| Software Engineer at a university with 10,001+ employees | 5.0 | I use IBM SPSS Statistics for analyzing questionnaire surveys related to consumer data. Its robust statistical analysis capabilities are valuable, though the user interface could be improved. It offers significant ROI, and its market popularity is unmatched. |
| Associate Professor of Statistics at KAU | 4.5 | I use IBM SPSS Statistics for business and management data analysis, as well as cross-sectional study questionnaires. Its AI capabilities are valuable, but it needs to improve forecasting with time series analysis. I haven't considered other solutions. |
| Research Executive at NielsenIQ | 4.0 | We use IBM SPSS Statistics for diverse statistical analyses on various datasets. Its most valuable feature is handling large datasets with robust analysis and script reusability. However, it sometimes takes time to load large datasets. |
| Business Intelligence Analyst at University of Huddersfield | 3.0 | I found IBM SPSS Statistics valuable for its ANOVA feature and graphical result presentation, though it could improve with detailed analyses and creative visuals. While Arena offers different statistical analyses, SPSS suits presenting significant differences and demographic information effectively. |
