Key Takeaways
- U.S. staffing employment totaled 17.2 million in 2023
- Global contingent workforce size 1.57 billion workers in 2022, representing 47% of global workforce
- U.S. temporary help employment 2.9 million in March 2024, down 1% YoY
- Global staffing industry projected CAGR 5.1% from 2023-2030
- 62% of staffing firms cite talent shortages as top challenge in 2024
- U.S. staffing growth forecast 2.5% in 2024 amid recession fears
- The global staffing market size reached $585.8 billion in 2022 and is projected to grow to $783.7 billion by 2027 at a CAGR of 5.9%
- U.S. staffing industry revenue hit $199.5 billion in 2023, marking a 4% increase from 2022
- Europe's staffing market generated €197 billion in revenue in 2022, with a 7% year-over-year growth
- U.S. staffing industry average gross margin 20.8% in 2023
- Global staffing firms' average net profit margin 3.2% in 2022
- Top 100 U.S. staffing firms generated $64.5 billion in 2023 revenue
- U.S. AI adoption in staffing at 67% for candidate screening in 2023
- 45% of staffing firms use ATS systems, global average 2023
- Video interviewing used by 72% of U.S. recruiters in 2023
With billions relying on staffing worldwide, demand keeps rising as temporary work, technology, and contingent hiring expand fast.
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Revenue and Financials
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Technological Advancements
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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.
Elena Vasquez. (2026, February 13). Recruitment Staffing Industry Statistics. Gitnux. https://gitnux.org/recruitment-staffing-industry-statistics
Elena Vasquez. "Recruitment Staffing Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/recruitment-staffing-industry-statistics.
Elena Vasquez. 2026. "Recruitment Staffing Industry Statistics." Gitnux. https://gitnux.org/recruitment-staffing-industry-statistics.
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