Key Takeaways
- 20.9% annual profit margin reported by Enterprise Employees in 2023 (net profit as % of revenue for the enterprise software industry median used in the report’s benchmarking dataset)
- 3.0% average hourly wage increase for private industry in Q4 2023 (BLS ECI hourly wages change)
- $1.4 trillion total compensation costs for civilian workers in the US in 2023 (BLS Employment Costs Index / compensation cost benchmark)
- 12.3% of global GDP was spent on health in 2022 (World Bank estimate of current health expenditure as % of GDP)
- 68% of companies say improving employee experience is a top priority in 2024 (Gartner employee experience survey cited in press release)
- 9.2% unemployment rate in the OECD area in April 2024 (OECD monthly unemployment rate indicator)
- 31.3% of US workers teleworked at least some of the time in 2021 (BLS CPS supplemental data on telework)
- 40.4 million people were employed in healthcare and social assistance in the US in 2023 (BLS employment by industry)
- 58% of executives report that they are using gen AI in at least one function in 2024 (Gartner/other survey cited by reputable trade coverage)
- 34% of data center workloads are expected to be liquid-cooled by 2030 (industry forecast cited by market research coverage)
- 2.9% year-over-year growth in global IT services spending in 2024 (Gartner IT spending forecast)
- $675 billion worldwide public cloud end-user spending in 2024 (Gartner forecast press release)
- $1.88 trillion global cloud infrastructure services market in 2024 (Gartner definition for IaaS/PaaS/CaaS spend estimate)
- 38% of breaches were detected by third parties in 2023 (IBM report)
- 22% reduction in deployment time using DevOps reported by surveyed organizations (DORA/industry outcomes summarized in State of DevOps report)
Businesses are prioritizing AI, cybersecurity, and employee experience while improving training and DevOps productivity.
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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.
Samuel Norberg. (2026, February 13). Company Employee Statistics. Gitnux. https://gitnux.org/company-employee-statistics
Samuel Norberg. "Company Employee Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/company-employee-statistics.
Samuel Norberg. 2026. "Company Employee Statistics." Gitnux. https://gitnux.org/company-employee-statistics.
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