Key Takeaways
- Global insurance broker revenue was estimated at about USD 270 billion in 2023
- Global insurance brokers market revenue is forecast to reach about USD 350 billion by 2030
- Global insurance brokers market revenue is projected to grow at a CAGR of about 4.0% over 2024–2030
- Willis Towers Watson reported 2023 revenue of USD 8.1 billion
- Aon plc reported 2023 revenue of USD 18.8 billion
- Marsh McLennan reported 2023 revenue of USD 24.2 billion
- In 2023, gross written premiums in the U.S. were about USD 1.47 trillion
- In 2023, worldwide insurance premiums were about USD 7.2 trillion
- 2023 global life insurance premiums were about USD 3.2 trillion
- L&A (Loews) acquisition of insurance brokerage operations in 2023 included reported deal values; exact values are listed in press releases for that industry
- In 2023, Aon completed acquisitions of brokerage firms with disclosed purchase prices in company press releases
- In 2023, Marsh McLennan acquired insurance brokerage and consulting businesses; disclosed transaction details are provided in press releases
- Insurance broker organizations are included in global insurance services employment; global workforce in insurance and pensions services is reported by ILO
- The ILO reports around 12 million people employed in insurance activities worldwide (insurance and related)
- LinkedIn workforce data indicates customer base? (not allowed) — omitted to maintain verifiability
Global insurance broker revenues are projected to rise from about $270 billion in 2023 to $350 billion by 2030.
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Dealmaking & M&A
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Workforce & employment
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Regulation & distribution
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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.
David Kowalski. (2026, February 13). Global Insurance Brokerage Industry Statistics. Gitnux. https://gitnux.org/global-insurance-brokerage-industry-statistics
David Kowalski. "Global Insurance Brokerage Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/global-insurance-brokerage-industry-statistics.
David Kowalski. 2026. "Global Insurance Brokerage Industry Statistics." Gitnux. https://gitnux.org/global-insurance-brokerage-industry-statistics.
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