Key Takeaways
- U.S. staffing industry employed 16.2 million temporary and contract workers in 2023.
- 37% of U.S. employers used staffing firms in 2023, up from 32% in 2022.
- Staffing employees filled 11.5 million jobs in the U.S. in 2023.
- The U.S. staffing and recruiting industry generated $205.1 billion in revenue in 2023, a 6% increase from $194.3 billion in 2022.
- Global staffing market size reached $512.8 billion in 2023, projected to grow at a CAGR of 5.2% from 2024 to 2030.
- U.S. temporary staffing revenue hit $162.8 billion in 2023, up 5% year-over-year.
- U.S. permanent staffing placements grew 7% to 1.1 million in 2023.
- Average time-to-fill permanent role 42 days in U.S. 2023.
- 55% of U.S. permanent placements were in professional services 2023.
- U.S. staffing market share 38% of global total in 2023.
- Europe staffing penetration 2.3% of GDP average 2023.
- Japan staffing industry ¥6.2 trillion revenue, 1.1% GDP 2023.
- 75% of 82% of staffing firms adopted AI screening tools by 2023.
- ATS usage among U.S. staffing agencies reached 92% in 2023.
- 56% of recruiters used video interviewing tech in 2023.
In 2023, staffing firms employed 16.2 million U.S. temps, filling 11.5 million jobs and driving fast hiring.
Related reading
Employment Trends
Employment Trends Interpretation
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Market Size and Growth
Market Size and Growth Interpretation
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Permanent Staffing
Permanent Staffing Interpretation
Regional Insights
Regional Insights Interpretation
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Technology Adoption
Technology Adoption Interpretation
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Temporary Staffing
Temporary Staffing 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.
Aisha Okonkwo. (2026, February 13). Recruiting Staffing Industry Statistics. Gitnux. https://gitnux.org/recruiting-staffing-industry-statistics
Aisha Okonkwo. "Recruiting Staffing Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/recruiting-staffing-industry-statistics.
Aisha Okonkwo. 2026. "Recruiting Staffing Industry Statistics." Gitnux. https://gitnux.org/recruiting-staffing-industry-statistics.
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