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Qualitative Data Analysis Software with AI/Machine Learning (2026) - Page 2

Last updated: April 2026

Key features of Qualitative Data Analysis Software

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

Data Coding: Reviewers highlight the ease and flexibility of data coding, with features for tagging, adding, removing, and merging codes, which streamline the analysis process. 97% of reviewers rated this feature as important or highly important.
Data Import/Export: Users appreciate the intuitive and flexible import/export functions, supporting various formats and enabling seamless data handling and reporting. 96% of reviewers rated this feature as important or highly important.
Categorization/Grouping: Reviewers value the intuitive categorization and grouping features, which simplify managing large data sets and identifying key themes. 94% of reviewers rated this feature as important or highly important.
Search/Filter: The search and filter functions are praised for their efficiency in locating specific data points and aiding thematic analysis. 93% of reviewers rated this feature as important or highly important.
Data Visualization: Users find data visualization tools helpful for analyzing and presenting data, with various graphical options that enhance understanding and reporting. 91% of reviewers rated this feature as important or highly important.
Qualitative Comparative Analysis: Reviewers appreciate the ability to compare and analyze data efficiently, with features that support coding, thematic development, and quantitative integration. 91% of reviewers rated this feature as important or highly important.