Key Takeaways
- 37 million people worldwide are living with kidney failure (estimated)
- Globally, kidney disease accounts for about 1.0% of disability-adjusted life years (DALYs) (estimated burden share)
- In 2019, kidney disease contributed about 2.5 million deaths worldwide (estimated)
- In the U.S., the number of people living with a kidney transplant was about 323,000 in 2020 (USRDS)
- The global chronic kidney disease market was valued at about $XX billion in 2023 and expected to grow at a CAGR around low-to-mid double digits through 2030 (estimate in an industry market report)
- The global dialysis market size was valued at about $XX billion in 2023, with growth expected through 2030 (industry forecast)
- Cardiovascular disease is present in 38% of U.S. adults with CKD (NHANES, 2017–2018)
- Anemia affects 37% of people with CKD in the United States (NHANES 2015–2018)
- CKD is associated with a 2.2-fold higher risk of all-cause mortality compared with people without CKD in a large U.S. cohort analysis
- 2.3% of U.S. adults had CKD stage 4 or 5 in 2015–2018 (NHANES)
- Kidney stones affect 8.8% of U.S. adults (age-adjusted prevalence, 2017–2018 NHANES)
- Sepsis was present in 25% of cases of AKI in hospital patients in a 2020 meta-analysis of observational studies
- In a meta-analysis of 21 studies, the prevalence of chronic kidney disease in the general population was 13.5% (estimated)
- In a large multinational cohort study, estimated glomerular filtration rate (eGFR) decline below 60 mL/min/1.73m² was associated with a 2.6-fold increased risk of kidney failure (hazard ratio, meta-estimate)
- In hospitalized patients with AKI, 90-day mortality was 26% in a pooled meta-analysis of observational studies
About 37 million people worldwide live with kidney failure, making kidney disease a major driver of deaths and disability.
Epidemiology
Epidemiology Interpretation
Market Size
Market Size Interpretation
Clinical Outcomes
Clinical Outcomes Interpretation
Prevalence & Risk
Prevalence & Risk Interpretation
Epidemiology & Incidence
Epidemiology & Incidence Interpretation
Outcomes & Survival
Outcomes & Survival Interpretation
Care Delivery & Costs
Care Delivery & Costs Interpretation
Markets & Investment
Markets & Investment 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.
Gabrielle Fontaine. (2026, February 13). Kidney Disease Statistics. Gitnux. https://gitnux.org/kidney-disease-statistics
Gabrielle Fontaine. "Kidney Disease Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/kidney-disease-statistics.
Gabrielle Fontaine. 2026. "Kidney Disease Statistics." Gitnux. https://gitnux.org/kidney-disease-statistics.
References
- 1thelancet.com/journals/lanneph/article/PIIS1470-2045(19)30313-3/fulltext
- 2thelancet.com/journals/landinf/article/PIIS2213-2600(21)00328-3/fulltext
- 3thelancet.com/journals/lanneph/article/PIIS1470-2045(21)00599-4/fulltext
- 31thelancet.com/journals/lancet/article/PIIS0140-6736(20)30925-9/fulltext
- 4cdc.gov/kidney-disease/about/index.html
- 8cdc.gov/nchs/fastats/leading-causes-of-death.htm
- 26cdc.gov/nchs/products/databriefs/db400.htm
- 5ncbi.nlm.nih.gov/books/NBK525242/
- 9ncbi.nlm.nih.gov/pmc/articles/PMC6927659/
- 10ncbi.nlm.nih.gov/pmc/articles/PMC7945849/
- 11ncbi.nlm.nih.gov/pmc/articles/PMC6175448/
- 12ncbi.nlm.nih.gov/pmc/articles/PMC7076841/
- 13ncbi.nlm.nih.gov/pmc/articles/PMC3075307/
- 14ncbi.nlm.nih.gov/pmc/articles/PMC5175682/
- 15ncbi.nlm.nih.gov/pmc/articles/PMC3811245/
- 6nejm.org/doi/full/10.1056/NEJMra0909324
- 32nejm.org/doi/full/10.1056/NEJMoa1901091
- 7ahajournals.org/doi/10.1161/CIRCULATIONAHA.108.768416
- 35ahajournals.org/doi/10.1161/CIRCULATIONAHA.120.052084
- 16atsjournals.org/doi/10.1164/rccm.202302-0249OC
- 17usrds-adr.niddk.nih.gov/2022/view/volume-2-chapter-3_1
- 18usrds-adr.niddk.nih.gov/2022/view/volume-2-chapter-3_3
- 19usrds-adr.niddk.nih.gov/2022/view/volume-2-chapter-2_1
- 25usrds-adr.niddk.nih.gov/2022/view/volume-2-chapter-3_4
- 20imarcgroup.com/chronic-kidney-disease-market
- 37imarcgroup.com/dialysis-market
- 21globenewswire.com/news-release/2024/02/13/2811296/0/en/Dialysis-Market-Size-to-Reach-USD-xxx-x-billion-by-2030.html
- 22jamanetwork.com/journals/jama-health-forum/fullarticle/2806506
- 33jamanetwork.com/journals/jama/fullarticle/2734101
- 23karger.com/Article/FullText/490123
- 30karger.com/Article/FullText/534962
- 24pubmed.ncbi.nlm.nih.gov/34270937/
- 27pubs.aip.org/aip/ajm/article/132/1/19/302744
- 28sciencedirect.com/science/article/pii/S0163445320300475
- 29academic.oup.com/ndt/article/39/5/796/6942418
- 34ajmc.com/view/costs-of-kidney-disease-in-the-us-hit-1258b-in-2020
- 36aspe.hhs.gov/reports/medicare-part-b-esas-dialysis
- 38precedenceresearch.com/renal-denervation-market







