IBM SPSS Statistics vs SAS Analytics comparison

IBM and SAS are both solutions in the Data Mining category. IBM is ranked #2 with an average rating of 9.0, while SAS is ranked #5 with an average rating of 9.0. IBM holds a 19.4% mindshare in DM, compared to SAS’s 7.0% mindshare. Additionally, 89% of IBM users are willing to recommend the solution, compared to 94% of SAS users who would recommend it.

IBM SPSS Statistics

Read 40 IBM SPSS Statistics reviews

3,194 Views
1,565 Comparison Views

89% willing to recommend

SAS Analytics

Read 11 SAS Analytics reviews

704 Views
704 Comparison Views

94% willing to recommend

IBM SPSS Statistics

SAS Analytics

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Executive SummaryUpdated on May 21, 2025

SAS Analytics and IBM SPSS Statistics compete in the data analysis category. IBM SPSS Statistics tends to have the upper hand due to superior features despite SAS Analytics offering better pricing and support.

Features: SAS Analytics is recognized for advanced analytics capabilities, predictive modeling, and handling large data sets. Meanwhile, IBM SPSS focuses on statistical analysis, complex data manipulation, and is user-friendly for non-technical users.

Room for Improvement: SAS could enhance its user interface to be more intuitive, improve integration with emerging data platforms, and offer a more affordable subscription model. IBM SPSS might benefit from expanding customization options, increasing processing speed for larger data sets, and refining their customer support response times.

Ease of Deployment and Customer Service: SAS offers a customizable deployment with smooth setup due to flexible options and integrated support. IBM SPSS provides a standard deployment with easily accessible support, focusing on quick implementation.

Pricing and ROI: SAS Analytics has higher initial costs but offers beneficial ROI with its robust capabilities. IBM SPSS operates on a subscription model, giving short-term affordability and value with a comprehensive feature set.

To learn more, read our detailed IBM SPSS Statistics vs. SAS Analytics Report (Updated: December 2025).

Buyer's Guide

IBM SPSS Statistics vs. SAS Analytics

December 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

IBM SPSS Statistics

Ranking in Data Mining

2nd

Average Rating

8.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Science Platforms (9th), AI Data Analysis (13th), AI Research (1st)

SAS Analytics

Ranking in Data Mining

5th

Average Rating

9.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Mining category, the mindshare of IBM SPSS Statistics is 19.4%, up from 15.9% compared to the previous year. The mindshare of SAS Analytics is 7.0%, up from 6.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Market Share Distribution
Product	Market Share (%)
IBM SPSS Statistics	19.4%
SAS Analytics	7.0%
Other	73.6%

Data Mining

Featured Reviews

EzzAbdelfattah

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

Advanced predictive analytics have supported my research and student projects across many methods

The only function I may need to be added or hope to be added to IBM SPSS Statistics is how to treat unstructured data. This mainly exists with IBM SPSS Modeler, but I do not think it is able to treat something like videos and similar content unless you are using languages like Python inside IBM SPSS Modeler or inside IBM SPSS Statistics. For the menu itself, for the selection, it does not exist. Thinking of the future, I believe that the owners of IBM SPSS Statistics should think about improving the package itself to be able to treat unstructured data.

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Ernesto Tapia

Finance Business Intelligence at Banco Santander Mexico SA Institucion de Banca

Automated workflows enhance productivity but could better handle stress tests

I use SAS Analytics in my work to analyze data, such as selecting credits for traditional securitization. Recently, I used SAS Analytics for the project roster from Santander, selecting and evaluating credits, and conducting historical research on the reception of contracts to issue securitization…

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."

"The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS."

"You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use."

"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."

"The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it."

"The most valuable features are the small learning curve and its ability to hold a lot of data."

"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."

"Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."

More IBM SPSS Statistics pros

"I use SAS daily to analyze data, produce reports, and other outputs."

"I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app."

"It is able to connect to all major platforms, and all the smaller platforms that I have come across."

"The technical support is okay."

"The most valuable feature is the ability to handle large data sets."

"All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."

"The team immediately resolves the issues."

"I use it to replicate our entire financial system to verify/duplicate calculations."

More SAS Analytics pros

Cons

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

"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."

"The solution needs to improve forecasting using time series analysis."

"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."

"The design of the experience can be improved."

"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."

"Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement."

"It could provide even more in the way of automation as there are many opportunities."

More IBM SPSS Statistics cons

"This solution should be made more user-friendly."

"Support at universities used to be limited, but I hear this is changing."

"I would like to see their interface to R added to either Base SAS or SAS Analytics."

"They could enhance the AI capabilities of the product."

"The installation could also be easier, and the price could be better."

"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."

"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."

"Once a SAS figure is produced one would like to modify things, such as titles, legends, and incorporate risk sets as a footer on the plots."

More SAS Analytics cons

Pricing and Cost Advice

"The price of IBM SPSS Statistics could improve."

"The price of this solution is a little bit high, which was a problem for my company."

"Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."

"While the pricing of the product may be higher, the accompanying service and features justify the investment."

"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."

"It's quite expensive, but they do a special deal for universities."

"More affordable training for new staff members."

"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

More IBM SPSS Statistics pricing and cost advice

"Our licensing covers the usage for around 50 data analysts."

"The cost for SAS Business Intelligence can prove to be a little prohibitive."

"Prices were comparable with alternative solutions."

"Licensing was rather straightforward."

"I rate the product’s pricing a one out of ten."

"It is relatively expensive. It is not an easy software to afford."

"Setup costs were quite reasonable."

"I think that the cost-benefit ratio is okay."

More SAS Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

Computer Software Company

University

Financial Services Firm

27%

Computer Software Company

11%

University

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	6
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	9

Questions from the Community

What do you like most about IBM SPSS Statistics?

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

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What is your experience regarding pricing and costs for IBM SPSS Statistics?

I think the price of the solution is very reasonable. The cost depends; you have the option for subscription or you can purchase the license. Most of our customers are paying every year for a type ...

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What needs improvement with IBM SPSS Statistics?

I have faced some challenges with IBM SPSS Statistics; you need to know what you're doing because it's not very user-friendly. It's not something a person can come and intuitively work with. The ba...

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What do you like most about SAS Analytics?

I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app.

See all answers

What needs improvement with SAS Analytics?

SAS Analytics could improve in areas such as handling stress tests and workloads, as well as predicting financial movements, specifically profit and loss movements.

See all answers

What is your primary use case for SAS Analytics?

I use SAS Analytics ( /products/sas-analytics-reviews ) in my work to analyze data, such as selecting credits for traditional securitization. Recently, I used SAS Analytics ( /products/sas-analytic...

See all answers

Comparisons

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 47% of the time

KNIME Business Hub vs IBM SPSS Statistics

Compared 4% of the time

Anaconda Business vs IBM SPSS Statistics

Compared 4% of the time

Databricks vs IBM SPSS Statistics

Compared 4% of the time

Amazon SageMaker vs IBM SPSS Statistics

Compared 3% of the time

More IBM SPSS Statistics Competitors

KNIME Business Hub vs SAS Analytics

Compared 25% of the time

IBM SPSS Modeler vs SAS Analytics

Compared 13% of the time

Lytics Conductor vs SAS Analytics

Compared 10% of the time

Oracle Advanced Analytics vs SAS Analytics

Compared 8% of the time

SAS Enterprise Miner vs SAS Analytics

Compared 7% of the time

More SAS Analytics Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

January 2026

Download IBM SPSS Statistics product report

Buyer's Guide

Data Mining

January 2026

Download SAS Analytics product report

Also Known As

SPSS Statistics

No data available

Overview

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.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:

Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.

Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.

Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle.

IBM SPSS Statistics Features

Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.

Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.

Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.

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

SAS was founded in 1976 and actually began as a project at North Carolina State University to analyze agriculture research. It has since become a global company that is recognized for its innovation in data analytics and business intelligence. SAS is redefining what's possible with data analytics through greater efficiency, strong information value chains, effective collaboration tools, and state-of-the-art visualization software. SAS Analytics is designed for use in a variety of industries including government, manufacturing, higher education, defense & security, banking, automotive, communications, and much more. SAS Analytics is a business intelligence (BI) solution that has the ability to reveal patterns and anomalies in data, identify relationships and different variables, and predict future outcomes. Users of SAS Analytics will benefit from making more sound, better informed business decisions based on company data and market trends. Data mining, data visualization, text analytics, forecasting, statistical analysis, and more are all available through SAS Analytics. Staples, which boasts $27 billion in sales across the globe, has a business philosophy that prioritizes customer loyalty and satisfaction. In order to better engage their customers, Staples utilizes SAS Analytics to plan finely tuned marketing campaigns. Through forecasting and advanced analytics, Staples has been able to rely on fewer contractors, and cut their marketing budget, while improving their customer retention rate.

SAS

Sample 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

Aegon, Alberta Parks, Amway China, Axel Springer, Bank of America, Belgium Special Tax, CAP Index, CareSource, CBE Group, Cemig, Center for Responsible Lending, CESCE, Ceska sporitelna, Chantecler, Chico's, Chubb Group of Insurance Companies, CIGNA Thailand, City of Wiesbaden, Germany, Confused.com, Creditreform, Des Moines Area Community College, Deutsche Lufthansa, Directorate of Economics and Statistics, DIRECTV, Dow Chemical Company, Dow Chemical Company, Dun & Bradstreet, EDF Energy, Electrabel GDF SUEZ, ERGO Insurance Group, Erste Bank Croatia, Farmers Mutual Group, Finnair, Florida Department of Corrections, Geneia, Generali Hellas, Genting Malaysia Berhad, Grameenphone, Grandi Salumifici Italiani, HealthPartners, Highmark, Hong Kong Efficiency Unit, HP, Hyundai Securities, Illinois Department of Healthcare and Family ServicesInc Research, ING-DiBa, Institut Pertanian Bogor, InterContinental Hotels Group (IHG), IOM, Kelley Blue Book, Lenovo, Lillebaelt Hospital, Los Angeles County, Maspex Wadowice Group, National Bank of Greece, New Zealand Ministry of Health, New Zealand Ministry of Social Development, Nippon Paper, NMIMS, North Carolina Department of Transportation, North Carolina Office of Information Technology Services, Northern Virginia Electric Cooperative (NOVEC), Oberweis Dairy, ODEC, Ohio Mutual Insurance Group, Oklahoma State University, OneBeacon, Orange Business Services, Orange County Child Support Services, Organic, Orlando Magic, OTP Bank, Plano Independent School District, Project Odyssey, Royal Society for the Protection of Birds, RSA Canada, SCAD, Scotiabank, Singapore National Library Board, Sobeys Inc., SRA International, Staples, Statistics Estonia, Swisscom, SymphonyIRI Group, Telecom Italia, Telef‹nica O2, Town of Cary, Transitions Optical, TrueCar, Turkcell Superonline, UniCredit Bank Serbia, University of Alabama, University of Missouri, USDA National Agricultural Statistics Service

Buyer's Guide

IBM SPSS Statistics vs. SAS Analytics

December 2025

Free Report: IBM SPSS Statistics vs. SAS Analytics

Find out what your peers are saying about IBM SPSS Statistics vs. SAS Analytics and other solutions. Updated: December 2025.

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