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Statistical Analysis Software with AI/Machine Learning (2026)

Last updated: March 2026

Key features of Statistical Analysis Software

Based on GetApp's analysis of verified user reviews collected between July 2021 and August 2024.

Reporting & Statistics: Reviewers value the ability to present data-driven insights, customize reports, and facilitate effective collaboration and communication. 93% of reviewers rated this feature as important or highly important.
Data Visualization: Users highlight the ability to create clear, customizable, and interactive visualizations that aid in understanding complex data and making informed decisions. 93% of reviewers rated this feature as important or highly important.
Reporting/Analytics: Reviewers appreciate comprehensive reporting and analytics tools that combine code, visualizations, and insights to support decision-making and clear communication. 92% of reviewers rated this feature as important or highly important.
Data Import/Export: Users find it useful to import and export data in various formats, allowing seamless integration with other tools and facilitating data management and analysis. 90% of reviewers rated this feature as important or highly important.
Regression Analysis: Reviewers value the ability to perform various types of regression analysis, model relationships between variables, and make predictions for informed decision-making. 90% of reviewers rated this feature as important or highly important.
Statistical Simulation: Users appreciate the capability to model complex systems, generate random samples, and run simulations, which aid in exploring hypotheses and optimizing decision-making. 85% of reviewers rated this feature as important or highly important.