Key Takeaways
- Blind hiring practices increased URM hires by 22% in 3D printing
- 35% of 3D printing firms lack formal DEI hiring goals, hindering equity, 2023 survey
- Promotion rates for women in 3D printing are 28% lower than men at mid-level
- In the 3D printing industry, women represent only 18.5% of the total workforce as of 2023, compared to 47% in the broader manufacturing sector
- A 2022 survey found that 76% of female 3D printing professionals reported experiencing gender-based microaggressions in the workplace
- Entry-level 3D printing roles show 24% female participation, but this drops to 12% in senior technical positions, per 2023 industry data
- 67% of Inclusion Councils in 3D printing companies are active and effective
- Employee resource groups (ERGs) for women in 3D printing present in 58% of large firms
- 82% of 3D printing workers feel more included after unconscious bias training
- Women CEOs in 3D printing companies rose from 9% in 2020 to 14% in 2024
- 11% of C-suite roles in 3D printing held by people of color, 2023 board analysis
- Diverse boards in 3D printing correlate with 22% higher market performance
- Black or African American professionals comprise 7.2% of the 3D printing workforce in the US, below national average of 13.6%, 2023 data
- Hispanic or Latino representation in 3D printing stands at 11.4%, compared to 19% in general manufacturing
- Asian professionals make up 22% of 3D printing engineers, higher than US average due to tech focus
Hiring bias and weak DEI goals limit representation in 3D printing, but audits and structured processes boost equity.
Equity in Hiring and Promotion
Equity in Hiring and Promotion Interpretation
Gender Diversity
Gender Diversity Interpretation
Inclusion Programs and Initiatives
Inclusion Programs and Initiatives Interpretation
Leadership and Representation
Leadership and Representation Interpretation
Racial and Ethnic Diversity
Racial and Ethnic Diversity Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Min-ji Park. (2026, February 13). Diversity Equity And Inclusion In The 3D Printing Industry Statistics. Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-3d-printing-industry-statistics
Min-ji Park. "Diversity Equity And Inclusion In The 3D Printing Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/diversity-equity-and-inclusion-in-the-3d-printing-industry-statistics.
Min-ji Park. 2026. "Diversity Equity And Inclusion In The 3D Printing Industry Statistics." Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-3d-printing-industry-statistics.
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