Sold by: IBM Software
IBM SPSS Statistics enables clients to solve business and research problems more easily, through adhoc analysis, hypothesis testing, and predictive analytics. By digging deeper into data, clients can discover and analyze information to improve decisions thereby ultimately expanding markets, improving research outcomes, ensuring regulatory compliance, managing risk, and maximizing ROI to name a few.
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Overview
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Understand Category Distributions
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Reveal Association between Categories
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Analyze Patterns
IBM SPSS Statistics is an end-to-end statistical solution that simplifies advanced statistical analysis across industries. It offers comprehensive resources, expert support, and proven reliability to transform complex data into impactful decisions. Targets both individuals and organizations spanning across Retail / CPG /E-Commerce, Healthcare, Government , Wholesale Distribution and Services etc. who seek an advanced statistical solution that can simply complex statistical test through an easy to use, accurate ,reliable and secure solution. Note: This page is for a software product and not a SaaS offering.
Highlights
- Advanced Statistical Procedures: SPSS Statistics provides a wide range of univariate and multivariate analysis tools, enabling users to perform deep and comprehensive data analysis. This supports smarter decision-making, reduces uncertainty, and improves operational efficiency.
- Predictive Analytics and Forecasting: By applying various statistical techniques,SPSS Statistics helps forecast future trends and behaviors.This allows organizations to anticipate market changes and customer needs, giving them a strategic edge.
- Integration with Open-Source Tools: SPSS Statistics integrates smoothly with open-source platforms like R and Python, allowing users to enhance their analyses with custom code. This combination offers the flexibility of open-source programming with the ease of application interface.
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Dimension | Description | Cost/12 months |
|---|---|---|
Base Edition | Analyze data with ease using stats, regression or advanced methods like bivariate, factor and cluser analysis with automation. | $1,188.00 |
Base plus Custom Tables and Advanced Statistics | Create interactive tables exportable to Excel/ PDF and perform complex analyses like GLMs, mixed models, and 2SLS regression together with base functionalities | $2,136.00 |
Vendor refund policy
You can turn off auto-renewal for your SPSS Subscription at any time prior to the end of your current billing cycle (monthly or annual). You will continue to have access to your subscription through the end of the billing cycle. No refunds or credits will be issued for any unused portion of the subscription period
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Resources
Support
Vendor support
On the IBM SPSS Statistics Support page, you will find support information related to downloading software, opening support tickets, and much more. IBM SPSS Statistics Support Page :
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Customer reviews
EzzAbdelfattah
Advanced predictive analytics have supported my research and student projects across many methods
Reviewed on Jan 14, 2026
Review provided by PeerSpot
What is our primary use case?
I do use IBM SPSS Statistics , and even my students are using it for their projects and reports while working on PhD or Master's degrees. They are analyzing data using it.
In comparison with other software, I found IBM SPSS Statistics to be the best one from my perspective. It has some features, and especially the current version starts to add artificial intelligence techniques and facilitates the analysis. Every new version has new additions for some functions. I use it for whatever analysis is needed, not just a specific one. I use both IBM SPSS Statistics and IBM SPSS Modeler .
What is most valuable?
Predictive analytics is the most important part of analytics. There are four levels of analytics, starting with descriptive, then diagnostic, then predictive, and after that, there is prescriptive. Predictive is the main core of using statistical packages. Especially now in IBM SPSS Statistics, we start to have neural networks, support vector machines, classification trees, regression techniques, and generalized linear regression. This is the most important predictive analytics. Predictive analytics has four types: the statistical techniques, which is mainly regression; classification trees; neural or artificial intelligence techniques; plus the time series technique.
Syntax is very important, especially as it is now related to the Python language. This is important to use the syntax, especially if you have replication for the process of analysis. The syntax will be important in this case, whether for updating data or for future data. We use the syntax file.
What needs improvement?
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.
For how long have I used the solution?
I started with version 6, so it is now version 30 or more. This was from the 1990s, maybe 1994. That is like 30 years.
Which solution did I use previously and why did I switch?
In comparison with other software, I found IBM SPSS Statistics to be the best one from my perspective.
Which other solutions did I evaluate?
There is a package now called JASP that is trying to imitate IBM SPSS Statistics. It has an advantage of being open source or free. This will give competition with IBM SPSS Statistics. I did not try it with huge data. However, I used IBM SPSS Modeler for more than or almost 8 million records. With students now, we can use JASP as it is a free package and it is imitating IBM SPSS Statistics by using the measurement levels: nominal, ordinal, and scale. It is clearer for using this rather than other software, as they are not classifying the measurement level this way.
What other advice do I have?
Data is now transferred from structured data to semi-structured data to unstructured data. 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. Here we have to use IBM SPSS Modeler as it is able to work with different kinds of data. However, I think for the future, these two packages need to improve or to give the ability to use unstructured data. This is the future of data now. You are now working with social data, such as Facebook and YouTube and similar platforms. This kind of data needs special treatment, which is not included in IBM SPSS Statistics as it uses only structured data.
IBM SPSS Statistics is working well with structured data like regular data from Excel and similar sources. However, when you start to use unstructured data or something such as videos and sound, in this case, you will be in need for a tool that is not able to be used with IBM SPSS Statistics. I would rate this review as an 8.
Rhonda W.
Great Potential but Steep Learning Curve
Reviewed on Dec 25, 2025
Review provided by G2
What do you like best about the product?
I like how easy it is to understand the values and the outcome of the data with IBM SPSS Statistics. It helps me in proving numbers of the random samples I provide, making it a valuable learning experience for evaluating sample sizes in my research.
What do you dislike about the product?
I don't know how to use this tool yet. I wish there was a stronger tutorial. Also, the initial setup was not easy at all; it took me two hours to understand the process.
What problems is the product solving and how is that benefiting you?
I use IBM SPSS Statistics to learn how to evaluate sample sizes and prove the numbers of random samples, making it easy to understand the values and outcomes of data.
Bhanu Prakash V.
Powerful Analytics with Easy-to-Use Interface, Despite High Cost
Reviewed on Dec 25, 2025
Review provided by G2
What do you like best about the product?
I like IBM SPSS Statistics for its easy-to-use, menu-driven interface, which allows me to perform complex statistical analysis without needing to write code. The software's capability to present results in clear tables and charts makes interpretation simple and accurate. This is particularly beneficial for students and researchers working with large data sets. I appreciate how IBM SPSS Statistics efficiently handles complex statistical tests like descriptive statistics, regression, and ANOVA simply by selecting options from the menus. Additionally, the output viewer feature is very useful as it automatically organizes results into well-structured tables and charts, making data interpretation easier. I also find its strong data management tools, such as variable labeling and handling missing values, very helpful as they aid in cleaning and preparing data efficiently before analysis. Overall, these features make IBM SPSS Statistics a reliable and accurate tool for academic and research work.
What do you dislike about the product?
The cost and licensing are quite high, making it difficult for students and small organizations to access. The user interface feels outdated compared to modern analytics tools and could be improved to be more interactive and visually appealing. IBM SPSS Statistics also has limited flexibility and automation compared to programming-based tools like Python, especially for advanced raw custom analysis. Improving integration with other tools and adding more modern data evaluation options would enhance the software. The licensing and activation steps can be a bit confusing initially, particularly for students. The setup process could be improved by making the licensing and additional processes simpler and more user-friendly.
What problems is the product solving and how is that benefiting you?
IBM SPSS Statistics helps me analyze large, complex data without coding skills. It streamlines statistical processes for projects, with features like menu-driven interfaces, clear charts, and tables, saving time and reducing errors.
Rohith B.
Perfect for Non-Programmers, Painful Licensing Process
Reviewed on Dec 25, 2025
Review provided by G2
What do you like best about the product?
I love that IBM SPSS Statistics allows you to run complex analyses like MANOVA or factor analysis without needing programming knowledge, thanks to its point-and-click interface. The 'Data View' vs. 'Variable View' setup is super helpful for keeping datasets clean, especially with a lot of survey responses. It's excellent for handling large datasets, much better than Excel. The 'Syntax' feature is fantastic for automating repetitive tasks without having to delve into full Python or R, making it much easier. SPSS is also very reliable, and I trust the math and the outputs, which means something in peer-review scenarios. The appeal of SPSS is its incredibly low barrier to entry; if you can use a menu, you can perform high-level statistics, which is impressive. It's an absolute workhorse for getting reliable statistical proof for business cases. If my friend is a researcher who understands statistics but hates programming, SPSS is a 10/10 because it allows running complex models with just a few clicks.
What do you dislike about the product?
The UI feels like it’s stuck in 2005, and it's clunky. The licensing process is a headache every time I have to renew, and the price is astronomical if my university or company isn't covering it. The visualizations look dated right out of the box, so I usually have to export the data to other tools like Tableau or PowerBI to make it look presentable. It can also be slow when working with truly 'Big Data' (millions of rows). The initial setup can be frustrating, especially the licensing part - even a small error in entering an authorization code can prevent activation.
What problems is the product solving and how is that benefiting you?
I don't need to be a programmer to run complex analyses with IBM SPSS Statistics. It handles large datasets better than Excel. The 'Syntax' feature helps automate tasks efficiently, providing reliable statistical proof for business cases.
Veronicah P.
Effective IBM System for Easy Data Analytics Creation and Data Transformation.
Reviewed on Dec 20, 2025
Review provided by G2
What do you like best about the product?
1. IBM SPSS Statistics is an intuitive platform for easy data transformation.
2. Easy migrating multiple data from various data sources.
3. Predictive data analytics generation in real time.
4. Secure data storage platform and easy data accessibility solution.
5. Data modeling, data mapping and the ability to manage various IT operations data is simple through IBM SPSS Statistics.
2. Easy migrating multiple data from various data sources.
3. Predictive data analytics generation in real time.
4. Secure data storage platform and easy data accessibility solution.
5. Data modeling, data mapping and the ability to manage various IT operations data is simple through IBM SPSS Statistics.
What do you dislike about the product?
None at all for the IBM SPSS Statistics since from implementation to deployment, everything is simple with no issues.
What problems is the product solving and how is that benefiting you?
1. Creating productive business data real time analytics.
2. Secure storage for all our IT projects and easy data handling.
3. Transformation of various data.
4. Data recovery and data backup solution.
2. Secure storage for all our IT projects and easy data handling.
3. Transformation of various data.
4. Data recovery and data backup solution.