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IBM SPSS | Statistics Software

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Uncover insights

Predict outcomes

Accelerate research

Empower Your Research with SPSS.

Experience full potential of data-driven decision-making with IBM SPSS.

SPSS (Statistical Package for the Social Sciences) is one of the world’s most trusted statistical analysis software platforms, designed for researchers, analysts, and data scientists who need to turn raw data into actionable insights. From simple descriptive statistics to complex predictive modeling, SPSS makes it all intuitive and powerful.

At Thinqcell, we bring you licensed access to IBM SPSS Statistics with regional support, academic pricing, and expert guidance across the Asia-Pacific. Whether you’re in academia, government, or industry, SPSS empowers you to make better decisions through data.


Explore SPSS with Thinqcell
Explore SPSS with Thinqcell
Explore SPSS with Thinqcell


Buy SPSS 2025
Buy SPSS 2025
Buy SPSS 2025







    Let’s get in touch

    Why SPSS

    Built for Researchers. Designed for Results.

    Intuitive Interface

    Perform advanced statistical analysis without needing to code. SPSS’s drag-and-drop UI makes it accessible even to non-programmers.

    Advanced Statistical Techniques

    From regression and ANOVA to multivariate analysis and predictive modeling, SPSS supports over 100+ statistical procedures.

    Secure & Scalable

    Trusted by institutions and Fortune 500 companies alike, SPSS ensures your data remains safe and your research reproducible.

    Academic & Research-Focused

    We specialize in serving educational and research institutions with discounted licensing, training, and workshops.

    Whether you’re a student, researcher, analyst, or business professional, IBM SPSS delivers the perfect blend of ease of use and advanced analytics. With decades of trust and innovation, SPSS is the go-to platform for those who want to uncover meaningful insights from complex data.

    Key Features

    Data Preparation & Management

    Quickly prepare, clean, and format your datasets with SPSS’s data transformation tools. Handle missing values, merge datasets, recode variables, and ensure data integrity before analysis.

    Advanced Statistical Analysis

    Gain deep insights with tools for Multivariate Analysis, Factor & Cluster Analysis, Survival Analysis, Logistic & Linear Regression, Bayesian Statistics, Nonparametric Tests and more.

    Customizable Outputs & Visualization

    Generate professional-quality charts, graphs, and tables. Customize outputs to meet publication standards or decision-maker preferences.

    Predictive Modeling & Machine Learning

    Go beyond analysis—predict future outcomes with built-in machine learning algorithms including decision trees, neural networks, and support vector machines.

    Integration & Extensibility

    Easily integrate with R, Python, Excel, SQL, and more, allowing for advanced scripting and automation.

    Who Uses SPSS?

    1.

    Academic Research and Thesis Projects

    SPSS is widely used by university students and researchers to validate hypotheses, test variables, and publish papers with statistically sound data.
    2.

    Healthcare & Public Health

    Medical professionals and policy researchers use SPSS to analyze patient data, track disease outbreaks, and improve healthcare delivery.
    3.

    Market Research

    Analyze consumer behavior, segment audiences, and generate actionable market insights based on survey and behavioral data.
    4.

    Government & Public Policy

    Government agencies leverage SPSS for census data analysis, social research, and policy development based on evidence and trends.
    Training & Support Options

    Beginner to Advanced Training Workshops

    Personalized Onboarding & Data Migration

    Real-world Case Study Projects

    Live Q&A Webinars & Community Forums

    System Requirements


    Minimum Requirements

    • Processor: Intel or AMD x86 processor running at 1GHz or higher
    • RAM: 4 GB
    • Hard Disk Space: At least 800 MB of available space
    • Display: Super VGA (800×600) or higher-resolution monitor
    • Operating System: Compatible with various versions of Windows, macOS, and Linux
    • Processor: Intel or AMD x86 processor running at 1GHz or higher
    • RAM: 8 GB or more for 64-bit client platforms
    • Hard Disk Space: Sufficient space to accommodate data files and operations (recommendation: four times the size of your data file)
    • Display: High-resolution monitor for optimal data visualization
    • Operating System: Latest versions of Windows, macOS, or Linux that are supported by IBM SPSS Statistics

    Minimum Requirements

    • Processor: Intel or AMD x86 processor running at 1GHz or higher
    • RAM: 4 GB
    • Hard Disk Space: At least 800 MB of available space
    • Display: Super VGA (800×600) or higher-resolution monitor
    • Operating System: Compatible with various versions of Windows, macOS, and Linux
    • Processor: Intel or AMD x86 processor running at 1GHz or higher
    • RAM: 8 GB or more for 64-bit client platforms
    • Hard Disk Space: Sufficient space to accommodate data files and operations (recommendation: four times the size of your data file)
    • Display: High-resolution monitor for optimal data visualization
    • Operating System: Latest versions of Windows, macOS, or Linux that are supported by IBM SPSS Statistics

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