Key Takeaways
- $3.8 trillion global pharmaceutical market size in 2023
- $1.0 trillion global healthcare spending in the United States in 2022
- $51.2 billion global radiopharmaceuticals market size in 2023
- $13.3 billion annual cost of preventable adverse drug events in US (IOM estimate, 2011)
- $25 billion estimate of global annual cost of counterfeit medical products (OECD, 2017)
- $18.6 billion cost of adverse events from US hospitalizations (IOM, 2010)
- 5.3% global increase in health spending per capita in 2023 (OECD)
- 4.6% increase in global drug expenditures in 2022 (OECD)
- 1.6 billion COVID-19 tests administered in the US through 2022 (CDC)
- FDA approval median time 10.2 months for priority review novel drugs (2023)
- 26.7 months median time to complete Phase 1 trials for drugs (Tufts CSDD)
- 57% of clinical trials are delayed (Society for Clinical Research Sites, 2022)
- The median time from First Patient In to database lock for Phase 3 trials was 9.5 months (2019–2021 cohort study)
- In the U.S., 67% of adults had taken at least one action to get or manage health information online in 2022
- In 2022, 74% of the global population had access to at least basic sanitation services
Across major markets and trials, rising investment meets delays and safety costs, underscoring urgent efficiency and access needs.
Market Size
Market Size Interpretation
Cost Analysis
Cost Analysis Interpretation
Industry Trends
Industry Trends Interpretation
Performance Metrics
Performance Metrics Interpretation
Research Performance
Research Performance Interpretation
Compliance & Access
Compliance & Access Interpretation
User Adoption
User Adoption 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.
Sophie Moreland. (2026, February 13). Medical Research Statistics. Gitnux. https://gitnux.org/medical-research-statistics
Sophie Moreland. "Medical Research Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/medical-research-statistics.
Sophie Moreland. 2026. "Medical Research Statistics." Gitnux. https://gitnux.org/medical-research-statistics.
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