Key Takeaways
- U.S. P&C incurred losses totaled $650 billion in 2023, up 10.5% YoY due to nat cats
- U.S. private passenger auto claims $220 billion in 2023
- Homeowners insurance claims U.S. $80 billion in 2023, driven by wildfires and hurricanes
- Climate risk exposure in P&C portfolios rose 15% globally 2023
- Cyber attack frequency up 28% YoY in 2023 for P&C insureds
- U.S. social inflation drove 12% increase in severe liability claims 2023
- In 2023, the global P&C insurance market size reached $2.8 trillion in gross written premiums, reflecting a 4.2% year-over-year growth driven by rising catastrophe losses and inflation
- U.S. P&C direct premiums written totaled $831 billion in 2023, up 8.1% from 2022 amid hardening rates
- The European P&C market grew by 5.3% to €450 billion in 2023, fueled by motor and property lines
- Global P&C net premiums written reached $2.5 trillion in 2023, up 3.9%
- U.S. P&C net premiums written were $806 billion in 2023, growing 7.8%
- Auto physical damage premiums in U.S. hit $180 billion in 2023, up 11.2%
- U.S. combined ratio for P&C was 101.1% in 2023
- U.S. personal lines combined ratio 102.5% in 2023 due to auto losses
- Commercial lines U.S. combined ratio 98.7% in 2023
Catastrophe losses and higher claim severity drove a 10.5% jump in US P and C incurred losses.
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Emerging Risks and Trends
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Market Size and Growth
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Profitability and Underwriting
Profitability and Underwriting 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.
Alexander Schmidt. (2026, February 13). P&C Industry Statistics. Gitnux. https://gitnux.org/p-c-industry-statistics
Alexander Schmidt. "P&C Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/p-c-industry-statistics.
Alexander Schmidt. 2026. "P&C Industry Statistics." Gitnux. https://gitnux.org/p-c-industry-statistics.
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