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IBM SPSS Statistics Reviews

Vendor: IBM
4.1 out of 5
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What is IBM SPSS Statistics?

IBM SPSS Statistics is renowned for its intuitive interface and robust statistical capabilities. It efficiently handles large datasets, making it essential for data analysis, quantitative research, and business decision-making.

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IBM SPSS Statistics is the #2 ranked solution in top Data Mining solutions, #4 ranked solution in top AI Research solutions, #12 ranked solution in top Data Science Platforms, and #17 ranked solution in top AI Data Analysis solutions. PeerSpot users give IBM SPSS Statistics an average rating of 8.2 out of 10. IBM SPSS Statistics is most commonly compared to Databricks: IBM SPSS Statistics vs Databricks. IBM SPSS Statistics is popular among the large enterprise segment, accounting for 65% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 19% of all views.
Buyer's Guide
IBM SPSS Statistics
April 2026
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Helped 890,088 peers since 2012

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IBM SPSS Statistics mindshare

Product category:
Data Mining
As of April 2026, the mindshare of IBM SPSS Statistics in the Data Mining category stands at 17.2%, up from 16.6% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Mining Mindshare Distribution
ProductMindshare (%)
IBM SPSS Statistics17.2%
IBM SPSS Modeler17.4%
KNIME Business Hub11.7%
Other53.7%
Data Mining

PeerResearch reports based on IBM SPSS Statistics reviews

TypeTitleDate
CategoryData MiningApr 27, 2026Download
ProductReviews, tips, and advice from real usersApr 27, 2026Download
ComparisonIBM SPSS Statistics vs KNIME Business HubApr 27, 2026Download
ComparisonIBM SPSS Statistics vs IBM SPSS ModelerApr 27, 2026Download
ComparisonIBM SPSS Statistics vs WekaApr 27, 2026Download
Suggested products
TitleRatingMindshareRecommending
Databricks4.1N/A96%93 interviewsAdd to research
KNIME Business Hub4.111.7%94%63 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

IBM SPSS Statistics offers user-friendly point-and-click interfaces, robust statistical analysis capabilities, machine learning algorithms, predictive analytics, and efficient data handling. It supports diverse techniques like regression analysis, ANOVA, clustering, Bayesian and demographic analysis, custom tables, and decision trees. Large datasets can be managed effortlessly, providing accurate visualization and ease in sharing insights. The intuitive interface and built-in algorithms simplify analytics with ease-of-use and flexibility, accommodating various business and research needs efficiently.
  • "We have seen enormous ROI."
  • "This is a very flexible product that can be used for numerous purposes."
  • "If you want to do a quick analysis, SPSS is quite robust and quicker in terms of providing the output."

Room for Improvement

IBM SPSS Statistics faces challenges in visualization and handling large datasets. Users find scripts clunky and seek better documentation for macros. There's a demand for improved statistical modeling functions and interactive features. Users compare SPSS to R and Python for package automation. The interface needs enhancements for user-friendliness and cost remains a concern. Users desire advanced reporting, easier data connectivity, and more comprehensive automation. Improvements in guidance, unstructured data handling, and responsiveness to user needs are also sought.
  • "IBM SPSS Statistics could be cheaper."
  • "I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."
  • "SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."

ROI

Users experience a substantial return on investment from IBM SPSS Statistics, largely by avoiding the need for external reporting services. SPSS facilitates routine report generation and saves both time and money through efficient data collection and analysis. Its user-friendly interface simplifies processes, benefiting various organizations, including government and universities. This efficiency allows them to meet specific requirements, enhancing value perception and resulting in a significant ROI, with some estimating around 50 percent.

Pricing

IBM SPSS Statistics is considered expensive by users, with costs being a significant consideration in license procurement. Pricing varies with different tiers, add-ons, and features, potentially reaching $6,000-$7,000 for advanced models. Licenses are commonly on a yearly renewal basis, with university discounts available. Organizations find the cost justified by its complexity and extensive capabilities but suggest tailoring pricing for developing countries. Users highlight the necessity of evaluating needs to determine suitable licensing options.
  • "While the pricing of the product may be higher, the accompanying service and features justify the investment."
  • "I rate the tool's pricing a five out of ten."
  • "SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."

Popular Use Cases

IBM SPSS Statistics is primarily utilized for data analysis, statistical approaches, and survey interpretation. Companies employ it for business data collection, customer analysis, and reporting. It's commonly used for advanced analytics, market research, and multi-variant analysis. It serves in academic settings for research and student projects, aiding in statistical calculations and modeling. Organizations use it for diverse statistical analyses across various fields, leveraging its capabilities for large datasets and model building.

Service and Support

IBM SPSS Statistics' support is generally satisfactory, though experiences vary. Some users have effective interactions, noting prompt, helpful assistance, while others observe delays or resolve issues independently using online resources. Many rely on forums or local contacts rather than official support. Positive experiences highlight courteous, focused customer service. However, improvement in support levels is suggested, particularly in escalating complex issues efficiently. Users often find online documentation and forums helpful in addressing common concerns.

Deployment

IBM SPSS Statistics initial setup experiences range from straightforward to complex. Many find it easy, taking under 30 minutes, while others face challenges needing IT support. Complexity varies between organizational and individual setups, with some organizations outsourcing due to difficulties. Users appreciate its versatility and ease of data preparation but note challenges with newer databases. Installation typically involves straightforward steps, often requiring collaboration between admins and technical consultants for optimal deployment.

Scalability

IBM SPSS Statistics handles various datasets efficiently, but struggles with extremely large data. For some, scalability is limited unless using high-speed systems. Feedback varies, with some finding it sufficient and others comparing it unfavorably to competitors. Multiple versions offer flexibility, but financial constraints affect deployment. Users report successful scalability in certain settings; some rate it highly, while others see room for improvement. Despite differing experiences, it supports diverse user bases effectively.

Stability

IBM SPSS Statistics is generally considered stable and reliable. Users note that while some versions may have issues, these are not common. Most report no significant problems, crashes, or bugs. The platform performs well under typical usage conditions, though performance might degrade with very large datasets or limited hardware resources. Stability is rated highly, often scoring seven to ten out of ten. Users find it comparable to standalone programs in terms of reliability.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our IBM SPSS Statistics Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business9
Midsize Enterprise6
Large Enterprise14
By reviewers
By visitors reading reviews
Company SizeCount
Small Business373
Midsize Enterprise245
Large Enterprise1171
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
19%
Manufacturing Company
8%
Computer Software Company
8%
University
7%
Educational Organization
5%
Insurance Company
5%
Comms Service Provider
4%
Healthcare Company
4%
Government
4%
Retailer
4%
Energy/Utilities Company
3%
Construction Company
3%
Non Profit
3%
Real Estate/Law Firm
2%
Transportation Company
2%
Hospitality Company
2%
Outsourcing Company
2%
Pharma/Biotech Company
2%
Performing Arts
2%
Legal Firm
2%
Media Company
1%
Wholesaler/Distributor
1%
Consumer Goods Company
1%
Recreational Facilities/Services Company
1%
Marketing Services Firm
1%

Compare IBM SPSS Statistics with alternative products

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Learn more about IBM SPSS Statistics

IBM SPSS Statistics offers extensive functionality supporting both beginners and experts. It is used for data analysis across industries, accommodating advanced statistical modeling such as regression, clustering, ANOVA, and decision trees. Users benefit from its quick model building and ease of use, which are indispensable in data exploration and decision-making. Room for improvement includes charting, visualization, data preparation, AI integration, automation, multivariate analysis, and unstructured data handling. Enhancements in importing/exporting features, cost efficiency, interface improvements, and user-friendly documentation are sought after by users looking for alignment with modern data science practices.

What are IBM SPSS Statistics' most notable features?
  • Intuitive Interface: Simplifies navigation for both beginners and experts.
  • Predictive Analytics: Advanced modeling capabilities for future trends.
  • Robust Statistical Functions: Includes regression, clustering, ANOVA, and decision trees.
  • Large Dataset Handling: Efficiently manages complex and sizable data.
  • Customizable Tables: Users can create tailored reports and exports.
What benefits and ROI do users report in reviews?
  • Ease of Use: Streamlined processes for rapid analysis.
  • Advanced Functionality: Comprehensive tools for diverse research needs.
  • Quick Model Building: Speeds up predictive and statistical analysis.
  • Versatile Application: Suitable for academic, business, and social science research.

IBM SPSS Statistics is implemented broadly, including academic research for in-depth studies, business analytics for informed decision making, and in the social sciences for comprehensive data exploration. Organizations utilize its advanced features like AI integration and automated modeling across sectors to gain actionable insights, streamline data processes, and support research initiatives.

IBM SPSS Statistics was previously known as SPSS Statistics.

IBM SPSS Statistics customers

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA

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Product Categories

Product Categories
Data Mining
Data Science Platforms
AI Data Analysis
AI Research

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IBM SPSS Statistics Reviews Summary
Author infoRatingReview Summary
Associate Professor Of Statistics at a university with 10,001+ employees4.5I've used IBM SPSS Statistics for decades and find it excellent for structured data analysis, especially predictive analytics, though it lacks native support for unstructured data, which I hope will improve in future versions.
Chief Technology Officer at LIbi Technologies4.5I'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.
Emeritus Professor of Health Services Research at University of South Wales4.5I 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 Wales4.5I 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.
Agricultural Finance and IT Researcher at Sher-e-Bangla Agricultural University5.0I 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+ employees5.0I 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.
Business Intelligence Analyst at University of Huddersfield3.0I 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.
Research Executive at NielsenIQ4.0We 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.