Key Takeaways
- As of 2024, 12,000+ donor egg cycles are performed annually in the U.S.
- The U.S. fertility industry market size is estimated at about $29.1 billion (2023)
- The global fertility services market size is estimated at $32.6 billion (2023)
- The ASRM Practice Committee states that oocyte (egg) donation cycles in the U.S. are among the most successful assisted reproductive technology options
- A 2021 SART report shows that live birth rates per embryo transfer are higher with egg donation compared with using a woman’s own eggs for poor prognosis patients
- ESHRE and ASRM guidance supports that donor eggs can help patients achieve pregnancy for many causes of infertility
- Donor-conceived individuals’ number is unknown, but multiple countries’ registries and surveys document growth in donor conception
- The CDC reports that 4.6% of U.S. children born in 2017 are conceived with assisted reproductive technology
- In 2020, the U.K. HFEA reported 9,190 donor-conceived people registered to contact the registry for information
- ASRM Ethics Committee states that using donor oocytes can provide an opportunity for people to build families when own eggs are not viable
- In the UK, the Human Fertilisation and Embryology Act 2008 mandates donor-conceived people have identifying information at age 18 if the donor consented
- UK HFEA’s donor information provisions apply from April 2005 for donors and from April 2006 for access rules
In the US, donor egg cycles have risen yearly, with thousands reported to SART and strong success rates.
Industry Volume & Market
Industry Volume & Market Interpretation
Clinical Outcomes & Success Rates
Clinical Outcomes & Success Rates Interpretation
Demographics & Prevalence
Demographics & Prevalence Interpretation
Ethics, Policy & Legal
Ethics, Policy & Legal 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.
Stefan Wendt. (2026, February 13). Donor Egg Statistics. Gitnux. https://gitnux.org/donor-egg-statistics
Stefan Wendt. "Donor Egg Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/donor-egg-statistics.
Stefan Wendt. 2026. "Donor Egg Statistics." Gitnux. https://gitnux.org/donor-egg-statistics.
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