MAXQDA Ratings (September 2025)
This page breaks down MAXQDA ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand MAXQDA’s overall reputation. This data-driven overview will show you exactly how MAXQDA is rated - including how it compares to competitors.
MAXQDA's Overall Rating Summary
- Average Rating:4.5/5
- Total Reviews:84 reviews
- Sources:G2, Capterra, Trustpilot
- Last updated:September 1, 2025
MAXQDA Ratings by Source
Platform | Rating | Reviews | Last Update |
---|---|---|---|
![]() | 4.5/5 | 35+ reviews | 01.09.25 |
![]() | 4.7/5 | 23+ reviews | 01.09.25 |
![]() | 4.3/5 | 26+ reviews | 01.09.25 |
What is MAXQDA?
MAXQDA offers comprehensive qualitative data analysis software with features like automatic transcription, powerful analysis tools, and smart AI integration. Key solutions include Interview Transcription & Analysis, Literature Review & Analysis, Mixed Methods, Content Analysis, and Questionnaire Analysis. The software supports efficient teamwork with TeamCloud, and AI Assist enhances document analysis via chat.
🤔 MAXQDA vs Competitors: How Do Ratings Compare?
Check out MAXQDA AlternativesFrequently Asked Questions
How trustworthy is MAXQDA?
According to G2 and Trustpilot review sites MAXQDA holds ratings of 4.5/5 and 4.3/5 respectively from 61 reviews, indicating that users consistently find value and reliability in the platform as of September 2025.
How many stars is MAXQDA rated?
MAXQDA has an average star rating of 4.5 out of 5 stars based on average of 84 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from MAXQDA public reviews pages on platforms: G2, Capterra, Trustpilot. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for MAXQDA is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.