Key Takeaways
- Venture capital firms active in biotech: 450 globally in 2023.
- Top biotech company Amgen had $28.2 billion revenue in 2023.
- Moderna market cap peaked at $120 billion in 2023.
- Global biotech industry employed 334,000 people in 2022.
- U.S. biotech workforce grew to 869,000 direct jobs in 2022.
- California hosted 28% of U.S. biotech jobs with 142,000 employees in 2023.
- The global biotechnology market size was valued at USD 1.55 trillion in 2023 and is projected to grow at a CAGR of 13.96% from 2024 to 2030.
- North America dominated the biotechnology market with a share of 37.99% in 2023, driven by robust R&D infrastructure.
- The tissue engineering and regeneration segment is expected to grow at a CAGR of 16.5% from 2024 to 2030 in the biotech market.
- Global number of FDA-approved biotech drugs reached 500 in 2023.
- mRNA vaccines generated $50 billion in sales for biotech firms in 2022-2023.
- CAR-T therapies approved: 6 products treating 10+ cancers by 2023.
- Global R&D spending by biotech firms reached $92 billion in 2022.
- U.S. biotech companies invested $49.6 billion in R&D in 2022, up 13% YoY.
- Venture capital investment in biotech hit $48.3 billion globally in 2021.
In 2023, biotech surged with record funding and deals alongside growing workforce and global market expansion.
Company & Funding
Company & Funding Interpretation
Employment Statistics
Employment Statistics Interpretation
Market Size & Growth
Market Size & Growth Interpretation
Products & Therapies
Products & Therapies Interpretation
R&D Investment
R&D 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.
Catherine Wu. (2026, February 13). Bio Industry Statistics. Gitnux. https://gitnux.org/bio-industry-statistics
Catherine Wu. "Bio Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/bio-industry-statistics.
Catherine Wu. 2026. "Bio Industry Statistics." Gitnux. https://gitnux.org/bio-industry-statistics.
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