Key Takeaways
- US FDA approved 55 novel biotech drugs in 2023, highest since 2018.
- 1,200 Phase III trials ongoing in US biotechs for oncology in 2023.
- mRNA vaccines from US biotechs generated $50 billion in sales in 2022.
- The US employed 349,000 workers in biotech in 2022, with direct employment up 8% from 2021.
- Biotech jobs in California alone numbered 156,000 in 2022, representing 45% of national total.
- Average salary for US biotech scientists was $128,000 in 2023, 40% above national median.
- US VC investment in biotech reached $36.8 billion in 2022 across 1,200 deals.
- IPOs in US biotech raised $5.2 billion in 2023, down 60% from 2021 peak.
- M&A deals in US biotech totaled $120 billion in 2022, led by Big Pharma acquisitions.
- The US biotechnology industry generated $237.8 billion in revenue in 2022, marking a 12.5% year-over-year growth.
- US biotech market projected to reach $511.2 billion by 2030, with a CAGR of 11.6% from 2023 to 2030.
- In 2023, the US held 47% of the global biotechnology market share valued at over $1.5 trillion worldwide.
- US biotechs spent $102 billion on R&D in 2022, 43% of total industry revenue.
- NIH funded $1.7 billion in biotech R&D grants in FY2022, supporting 5,000+ projects.
- US biotech firms filed 12,500 patents in 2022, up 18% from 2020.
In 2023, US biotech surged with record FDA approvals, strong trial momentum, and rising exports.
Related reading
Clinical Trials and Products
Clinical Trials and Products Interpretation
More related reading
Employment and Workforce
Employment and Workforce Interpretation
More related reading
Investment and Funding
Investment and Funding Interpretation
More related reading
Market Size and Growth
Market Size and Growth Interpretation
More related reading
Research and Development
Research and Development 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). Us Biotechnology Industry Statistics. Gitnux. https://gitnux.org/us-biotechnology-industry-statistics
Gabrielle Fontaine. "Us Biotechnology Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/us-biotechnology-industry-statistics.
Gabrielle Fontaine. 2026. "Us Biotechnology Industry Statistics." Gitnux. https://gitnux.org/us-biotechnology-industry-statistics.
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