Key Takeaways
- 5.1% U.S. EMS agency employment growth forecast for 2024–2034 (BLS Occupational Employment Projections for Emergency Medical Technicians and Paramedics)
- 8.2% U.S. EMS employment growth for 2019–2029 for EMTs and paramedics (BLS Occupational Employment Projections)
- 10% of EMTs and paramedics earned more than $71,630 in the U.S. in May 2023 (top 10% wage threshold in BLS OES)
- $4.9 billion U.S. ambulance services industry value-added for 2022 (IBISWorld “Ambulance Services” contribution figure)
- $4.3 billion global market size for point-of-care ultrasound in 2023 with projected CAGR (relevant to EMS transport diagnostics adoption) (Verified in market research report)
- $17.8 billion global market size for prehospital emergency care services in 2022 (global emergency medical services market sizing)
- 78.0% survival rate in out-of-hospital cardiac arrest witnessed by EMS with shockable rhythm when treated under best-practice emergency response protocols (peer-reviewed review study)
- 39.1% of out-of-hospital cardiac arrest patients achieve ROSC after EMS care in the U.S. (systematic review/meta-analysis of EMS-based ROSC rates)
- 8-minute median EMS response time reduction associated with 14% improvement in survival in urban cardiac arrest studies (peer-reviewed EMS time-to-treatment evidence)
- 9.2% of ambulance transports in some U.S. markets are related to non-emergent conditions (audit/distribution findings from government or academic studies)
- 34.4% of adults who had a medical emergency reported that they called 911 (share of respondents using 911 as the first action in emergency care situations)
- In 2021, 10.7% of out-of-hospital cardiac arrests had an AED used by a rescuer (national OHCA reporting rate)
- 2.4x higher odds of complete documentation when EMS uses automated ePCR prompts vs. manual fields (documentation completeness association from implementation evaluation)
Staffing shortages persist, but faster response, better protocols, and smarter dispatch improve survival and outcomes.
Workforce
Workforce Interpretation
Market Size
Market Size Interpretation
Clinical Outcomes
Clinical Outcomes Interpretation
Industry Trends
Industry Trends Interpretation
Technology & Software
Technology & Software 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.
Christopher Morgan. (2026, February 13). Ems Industry Statistics. Gitnux. https://gitnux.org/ems-industry-statistics
Christopher Morgan. "Ems Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ems-industry-statistics.
Christopher Morgan. 2026. "Ems Industry Statistics." Gitnux. https://gitnux.org/ems-industry-statistics.
References
- 1bls.gov/ooh/healthcare/emergency-medical-technicians.htm
- 2bls.gov/opub/mlr/2011/11/art2full.pdf
- 3bls.gov/oes/current/oes292011.htm
- 4bls.gov/news.release/empsit.t05.htm
- 5nfpa.org/-/media/Files/Research/Reports/EMS/EMS_2022.pdf
- 6nfpa.org/-/media/Files/Research/Reports/EMS/NFPA-EMS-Fact-Sheet.pdf
- 7ems.gov/pdf/ems%20workforce%20study%20final%20report.pdf
- 8ncbi.nlm.nih.gov/pmc/articles/PMC9018014/
- 28ncbi.nlm.nih.gov/pmc/
- 32ncbi.nlm.nih.gov/pmc/articles/PMC7998863/
- 9ibisworld.com/united-states/market-research-reports/ambulance-services-industry/
- 13ibisworld.com/united-states/market-research-reports/medical-supplies-and-equipment-wholesaling-industry/
- 10grandviewresearch.com/industry-analysis/point-of-care-ultrasound-market
- 11imarcgroup.com/prehospital-emergency-care-market
- 12reportlinker.com/p06161391/EMS-Communication-Market.html
- 14iris.who.int/bitstream/handle/10665/274504/9789241514065-eng.pdf
- 15fortunebusinessinsights.com/ambulance-services-market-103018
- 16pubmed.ncbi.nlm.nih.gov/35197941/
- 17pubmed.ncbi.nlm.nih.gov/31888578/
- 19pubmed.ncbi.nlm.nih.gov/29982551/
- 20pubmed.ncbi.nlm.nih.gov/17880263/
- 21pubmed.ncbi.nlm.nih.gov/36429573/
- 22pubmed.ncbi.nlm.nih.gov/34676073/
- 23pubmed.ncbi.nlm.nih.gov/27809479/
- 24pubmed.ncbi.nlm.nih.gov/30971255/
- 25pubmed.ncbi.nlm.nih.gov/26687626/
- 26pubmed.ncbi.nlm.nih.gov/20546970/
- 27pubmed.ncbi.nlm.nih.gov/26440665/
- 18ahajournals.org/doi/10.1161/CIRCULATIONAHA.112.121041
- 29cdc.gov/nchs/data/nhsr/nhsr101.pdf
- 30cdc.gov/mmwr/volumes/72/wr/mm7250a4.htm
- 31cdc.gov/nchs/data/nhsr/nhsr175.pdf







