Key Takeaways
- In 2019, the analysis estimated 35.7 million AMR-associated DALYs due to bacterial resistance
- WHO estimates that AMR caused 1.27 million deaths in 2019
- CDC’s 2019 AR Threats report projected that by 2050, antibiotic-resistant infections could cause 10 million deaths annually worldwide and cost $100 trillion (global economic estimate referenced by CDC)
- A 2022 systematic review reported that patients infected with multidrug-resistant organisms had a higher risk of mortality than those with non-resistant infections (pooled effect reported)
- In ECDC/EMA 2023 antimicrobial resistance surveillance report, 35,000 hospital bloodstream infections due to AMR organisms were estimated in Europe (reported scale for serious AMR)
- In US hospitals, 1 in 3 antibiotic prescriptions is estimated to be inappropriate (CDC estimate)
- CDC reported that 2.6 million antibiotic prescriptions were given to residents of nursing homes in 2018 (HCRS data; stewardship reporting)
- In a 2023 study, antimicrobial stewardship interventions in hospitals were associated with a 13% reduction in antibiotic consumption (meta-analysis pooled change)
- A 2021 meta-analysis estimated that rapid diagnostics for bloodstream infections reduced antibiotic exposure by 1.2 days on average (pooled estimate)
- A 2022 randomized trial reported that rapid molecular testing shortened time to optimal therapy by 1 day (reported trial metric)
- In a 2020 evaluation, MALDI-TOF mass spectrometry reduced turnaround time for pathogen identification by 24 hours on average compared with conventional methods (reported operational metric)
- In 2023, the global antimicrobial susceptibility testing market was valued at $2.8 billion and projected to grow to $4.4 billion by 2030 (vendor/market research estimate)
- In 2023, the global antimicrobial resistance testing market was valued at $3.2 billion and projected to grow to $5.5 billion by 2030 (market research estimate)
- In 2022, the global antibiotics market size was estimated at $43 billion (context for stewardship and AMR; vendor market estimate)
- OECD estimated that antimicrobial resistance could reduce global GDP by 3.8% by 2050 in a policy-inaction scenario (economic impact estimate)
AMR kills about 1.27 million people yearly and stewardship plus rapid diagnostics can cut infections and antibiotic use.
Related reading
01 · Category
Burden & Outcomes8 stats
Burden & Outcomes Interpretation
02 · Category
Surveillance & Resistance Rates2 stats
Surveillance & Resistance Rates Interpretation
03 · Category
Usage & Stewardship Metrics4 stats
Usage & Stewardship Metrics Interpretation
04 · Category
Diagnostics & Innovation Uptake4 stats
Diagnostics & Innovation Uptake Interpretation
05 · Category
Market Size9 stats
Market Size Interpretation
06 · Category
Investment & Costs4 stats
Investment & Costs Interpretation
More related reading
07 · Category
Cost Analysis7 stats
Cost Analysis Interpretation
08 · Category
Treatment & Prescribing1 stats
Treatment & Prescribing Interpretation
09 · Category
Prevalence & Resistance1 stats
Prevalence & Resistance Interpretation
10 · Category
Outcomes & Economics5 stats
Outcomes & Economics Interpretation
11 · Category
Market & Investment5 stats
Market & Investment Interpretation
Antimicrobial resistance burden and impact over time
AMR remains a major and growing health burden, with millions of deaths and large disease impact reported in recent estimates.
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.
Henrik Dahl. (2026, February 13). Antimicrobial Resistance Statistics. Gitnux. https://gitnux.org/antimicrobial-resistance-statistics
Henrik Dahl. "Antimicrobial Resistance Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/antimicrobial-resistance-statistics.
Henrik Dahl. 2026. "Antimicrobial Resistance Statistics." Gitnux. https://gitnux.org/antimicrobial-resistance-statistics.
Sources & references
50 datasets cited across this report · attribution is report-level
+21 additional datasets cited (not shown individually)

