Key Takeaways
- U.S. total compensation spending by businesses was $11.6 trillion in 2023
- Global corporate training expenditure reached $370 billion in 2023
- U.S. businesses spent an average of $1,252 per employee on training in 2023
- U.S. manufacturing sector operating expenses hit $6.4 trillion in 2023
- Retail trade businesses spent $5.8 trillion on costs in U.S. 2023
- Healthcare industry expenditures by U.S. providers were $4.5 trillion in 2023
- U.S. businesses spent 4.1% of revenue on marketing in 2023, averaging $35,000 per employee
- Global digital advertising spend by businesses reached $522 billion in 2023
- B2B marketing budgets averaged 9.1% of revenue in 2023 for U.S. firms
- In 2023, global business spending on information technology reached $4.9 trillion, marking a 8.1% increase from 2022
- U.S. businesses allocated 11.2% of their total budgets to IT in 2023, up from 10.5% in 2022
- Enterprise software spending by businesses worldwide hit $919 billion in 2023
- U.S. total business expenses reached $18.5 trillion in 2022 (latest full data)
- Global corporate profits after tax were $3.8 trillion in 2023, with spending on ops at 85% of revenue
- U.S. nonfinancial corporate business debt outstanding was $20.3 trillion in Q4 2023
In 2023, global and U.S. businesses invested heavily in people, marketing, and IT, totaling over $95 trillion.
Related reading
Human Capital Spending
Human Capital Spending Interpretation
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Industry-Specific
Industry-Specific Interpretation
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Marketing & Advertising
Marketing & Advertising Interpretation
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Technology Spending
Technology Spending Interpretation
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Total Expenditure
Total Expenditure 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.
Priya Chandrasekaran. (2026, February 13). Business Spending Statistics. Gitnux. https://gitnux.org/business-spending-statistics
Priya Chandrasekaran. "Business Spending Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/business-spending-statistics.
Priya Chandrasekaran. 2026. "Business Spending Statistics." Gitnux. https://gitnux.org/business-spending-statistics.
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