Key Takeaways
- Independent agents in U.S. produced 85% of commercial P&C premiums in 2023
- Average U.S. insurance agent annual sales revenue was $450,000 in 2023 for top performers
- 62% of U.S. P&C policies sold via independent agents in 2022, generating $300 billion premiums
- 72% of U.S. consumers aged 25-34 prefer buying insurance online without agents in 2023
- 55% of U.S. millennials own life insurance, but 40% lapsed due to cost in 2023
- Women in U.S. are 10% more likely to shop for insurance quotes online than men in 2023
- 75% of online insurance sales in U.S. completed via aggregators or direct carriers in 2023
- AI chatbots handled 30% of initial insurance quotes in U.S. by Q4 2023
- Mobile apps drove 45% of auto insurance policy purchases among under-40s in 2023
- In 2023, global life insurance premiums reached $2.8 trillion, marking a 5% year-over-year growth driven by emerging markets
- U.S. property/casualty insurance direct premiums written totaled $799 billion in 2022, up 7.2% from 2021
- The global insurance market size was valued at $6.87 trillion in 2022 and is projected to grow to $9.82 trillion by 2028 at a CAGR of 6.4%
- U.S. individual life insurance new annualized premium sales hit $14.5 billion in Q4 2023, up 12% YoY
- Global property insurance premiums totaled $1.2 trillion in 2023, representing 40% of non-life market
- U.S. health insurance premiums written reached $1.1 trillion in 2022, 52% of total P&C and health
Independent and captive agents still dominate sales, driving most P and C premiums with strong retention.
Related reading
Agent and Broker Performance
Agent and Broker Performance Interpretation
Consumer Demographics and Behavior
Consumer Demographics and Behavior Interpretation
More related reading
Digital and Technological Trends
Digital and Technological Trends Interpretation
Market Size and Growth
Market Size and Growth Interpretation
More related reading
Sales Volume and Revenue
Sales Volume and Revenue 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.
Thomas Lindqvist. (2026, February 13). Insurance Sales Statistics. Gitnux. https://gitnux.org/insurance-sales-statistics
Thomas Lindqvist. "Insurance Sales Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/insurance-sales-statistics.
Thomas Lindqvist. 2026. "Insurance Sales Statistics." Gitnux. https://gitnux.org/insurance-sales-statistics.
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