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The results are in! 2025 Academic Use Survey insights

Potcner

The annual survey of faculty users, conducted by the Academic Team every fall since 2012, has provided crucial insights into JMP's utilization within educational and research environments. This comprehensive survey aims to better understand academic usage and gather detailed feedback to guide future development and support efforts.

According to Global Academic Programs Director Curt Hinrichs (@curt_hinrichs), the insights derived from this annual survey are vital for shaping JMP’s strategic direction. “Hearing directly from professors helps us gain visibility into where we have deep adoption while identifying schools and departments that require more focused efforts to obtain desired growth,” Hinrichs said. “We are particularly pleased to see how our users are such strong advocates promoting JMP not just to their students but to their colleagues as well.”

The survey gathers information across several critical areas:

Field of teaching and/or study.
Primary usage (teaching and/or research).
Number of courses in which JMP has been used.
The number of students and colleagues introduced to JMP.
Reasons for choosing JMP and primary platforms utilized.
Feedback on the software and supporting teaching resources.

Survey says!

The 2025 survey was distributed to approximately 20,000 current or previous academic users, resulting in 1,730 completed surveys.

The key data points from the collected responses are as follows:

User demographics by field

56% of respondents are from the Life, Health, or Agricultural Sciences.
10% from Engineering.
8% from Statistics.
7% from Business.

User experience level

39% report 10 or more years using JMP.
31% report 5–10 years using JMP.
30% report less than 5 years (classified as newer users).

Advocacy and reach

20% of respondents have introduced JMP to over 100 students.
25% of respondents have introduced JMP to at least 10 colleagues.

Screenshot 2025-12-09 at 11.45.25 AM.png

Adoption origin

67% of users indicated they first learned about JMP during their own studies at university or from a colleague.

Most frequently used platforms

Graph Builder.
Fit Model.
Fit Y by X.
Design of Experiments.
Distribution.
Multivariate.

Primary reasons for selection

Ease of use.
Graphics and visualization capabilities.
Interactive approach to exploring and analyzing data.
No coding required.
Large collection of basic to advanced statistical methods.

Want to dive deeper into the results?

A PowerPoint Slide Deck providing graphical and numerical summaries of the responses is available here.

For individuals interested in a detailed review of the survey results, please contact Curt Hinrichs or Senior Systems Engineer Kevin Potcner.

Comments

NatalieStarkey

Hey Kevin and team. Thanks for sharing this, it's really interesting to see the results. The very low representation in Physical Sciences is what I expected, but also still shocking. It would be interesting to learn more about the reasons for that. I know many physical scientists are coders, which could explain some of it (although clearly not a reason to avoid JMP). But many physical scientists (like myself) have never coded and I know JMP would have been invaluable during much of my research. Do you think it's just a brand awareness issue?

shannon_conners

The other night I met some new neighbors who just moved in down the street having recently relocated from California with their three kids. The dad said that he used JMP in college, but that now he was a Python programmer. I mentioned JMP's Python integration and he was completely unaware that JMP had the ability to integrate with Python (as well as other external tools like R). This seems very consistent with the survey findings that 75% (!) of those surveyed were not familiar with JMP's ability to integrate with open source tools like Python and R. (see this slide in Curt's ppt: https://sasoffice365-my.sharepoint.com/:p:/g/personal/curt_hinrichs_jmp_com/EdZemanZrQdHtozukWzneoIBh-Ik805QcUPP1wcAjgTcKQ?e=J2EYIv).

Between the major improvements made recently to the Python integration, and the fact that 75% of the users who responded learned about JMP from another user, it seems that JMP needs to work on raising awareness of Python integration features among existing JMP users.

On a side note, my daughter literally cried when as an anthropology major she was forced to use R/Shiny on a project. After the horrible experience she had as a non-programmer trying to struggle through using R code to analyze some toy data, I can guarantee she'll never touch that tool again. I really wish her professor had chosen to teach with JMP instead. (She goes to Western Carolina University, by the way, in case you're looking for another NC school to target for JMP adoption. )

PatrickGiuliano

Let me at em! With JMP installed on every machine inside the computer lab in the Physical Sciences bldg. I'll be like that waiter that gives more than they receive. I'm joking (sort of, well at least not about the giving part). Happy holidays everyone. And another thank you to the Academic Team for sharing these interesting results.

Potcner

Natalie. agree those are disciplines that would greatly benefit from JMP. And we reach out to these faculty and go to those depts when visiting campuses.
Yes, a lot of open source in that world. And I come across a lot of people who use very specialized software/computing tools in those disciplines that do a lot more that they need beyond the statistical analyses (e.g., very sophisticated geo spatial mapping, 3d chemical structure diagrams, quantifying compositions of materials, etc.). Those tools will often have the few specialized stat methods they need.

Also... the statistics courses that students in those disciplines take is more often taught out of the stat dept or engineering school than dept of chemistry for example. So I'd say there are more students in the physical sciences getting exposed to JMP than it might look from this survery sent to just teachers and researches.

Potcner

Shannon.

Per your comment "....Between the major improvements made recently to the Python integration, and the fact that 75% of the users who responded learned about JMP from another user, it seems that JMP needs to work on raising awareness of Python integration features among existing JMP users...."

Agree! It's actually the main reason we ask the question in the survey.