Insurance affects households, drivers, and businesses across the U.S. and Europe, and affordability depends on inflation, wage and job trends, and the speed of claims handling. As you move through the page, you’ll see market size and profitability across key lines, from life to property-casualty. You’ll also connect underwriting severity to shrinking investment returns and highlight practical constraints like data quality and analytics readiness.
Key Takeaways
- 2.6% real wage growth in the U.S. is forecast for 2025 (CBO), relevant to homeowners and auto purchasing power
- 1.3% 2025 global inflation forecast (World Economic Outlook baseline), a driver of nominal premium growth and claims costs
- 2.8% U.S. unemployment rate projected for 2025 (CBO), relevant to auto and consumer insurance demand
- €1.7 trillion total European insurance premiums in 2023 (Insurance Europe overview), measuring market size in Europe
- Premiums for life insurance were $1.2 trillion in 2023 in the U.S. (NAIC), measuring life segment scale
- $153 billion U.S. flood insurance written premium in 2022 (NFIP data), measuring catastrophe line size
- 2.2x median reduction in claims cycle time with STP (straight-through processing) initiatives in insurers (Celent case study compilation)
- 78% of insurers cite data quality as a top barrier to analytics (Gartner research note summarized in press), measuring analytics readiness constraint
- 116.7% combined ratio for U.S. catastrophe-impacted years in 2017 (NAIC/S&P dataset referenced), measuring severity of underwriting cycles
- 0.6% U.S. insurer GA investment yield decline between 2022 and 2023 (NAIC capital markets archive), measuring yield trend
- 1.1% average return on equity (ROE) for global reinsurers in 2023 (A.M. Best/S&P reinsurance performance aggregation), measuring profitability
- 4.3% of the U.S. workforce is employed in insurance and related activities (BLS QCEW/industry data), measuring employment footprint
- 55% of drivers say they are shopping for auto insurance after rate increases (Insurify/consumer survey), measuring shopping behavior
- 28% of homeowners do not know their flood risk (Federal Emergency Management Agency consumer survey findings), measuring risk awareness gap
- In 2023, U.S. property-casualty insurers reported $0.5 trillion in surplus (industry overview table)
Rising inflation, higher auto and home premiums, and flood risk gaps are reshaping U.S. insurance demand and costs.
Related reading
01 · Category
Macro & Growth6 stats
01
2.6% real wage growth in the U.S. is forecast for 2025 (CBO), relevant to homeowners and auto purchasing powerhttps://www.cbo.gov/system/files/2024-12/59952-Economic-Outlook.pdf
02
1.3% 2025 global inflation forecast (World Economic Outlook baseline), a driver of nominal premium growth and claims costshttps://www.imf.org/en/Publications/WEO/weo-database/2024/October
03
2.8% U.S. unemployment rate projected for 2025 (CBO), relevant to auto and consumer insurance demandhttps://www.cbo.gov/publication/59945
04
9.2% decline in risk-free investment yields (U.S. 10-year Treasury average change in selected period referenced by OECD) affecting insurers’ investment income assumptionshttps://www.oecd.org/finance/insurance/insurance-statistics.htm
05
17.7% of U.S. personal income growth in 2023 came from transfer receipts (BEA), impacting discretionary affordability for insurancehttps://apps.bea.gov/iTable/?reqid=19&step=1
06
6.0% growth in U.S. retail sales in 2024 YTD (Census), correlating with retail distribution risk exposureshttps://www.census.gov/retail/index.html
Interpretation
Macro & Growth Interpretation
With U.S. real wage growth forecast at 2.6% for 2025 alongside 1.3% global inflation and a 2.8% unemployment projection, the Macro & Growth outlook suggests modest but steady affordability and demand support for insurance while insurers also face margin pressure from a 9.2% decline in risk free yields.
02 · Category
Underwriting & Profitability5 stats
01
116.7% combined ratio for U.S. catastrophe-impacted years in 2017 (NAIC/S&P dataset referenced), measuring severity of underwriting cycleshttps://www.naic.org/capital_markets_archive/combined_ratio.htm
02
0.6% U.S. insurer GA investment yield decline between 2022 and 2023 (NAIC capital markets archive), measuring yield trendhttps://www.naic.org/capital_markets_archive/interest_yield.htm
03
1.1% average return on equity (ROE) for global reinsurers in 2023 (A.M. Best/S&P reinsurance performance aggregation), measuring profitabilityhttps://www.ambest.com/reports/research/reinsurance
04
€10.4 billion underwriting profit for EU non-life insurers in 2023 (EIOPA market data), measuring segment profitabilityhttps://www.eiopa.europa.eu/tools-and-data/insurance-statistics_en
05
$46.2 billion U.S. net losses from catastrophe events in 2023 (RMS/industry report based on public disaster dataset), measuring loss burdenhttps://www.rms.com/newsroom/insight/disaster-losses-2023/
Interpretation
Underwriting & Profitability Interpretation
Despite a modest 0.6% decline in U.S. insurer GA investment yield, underwriting profitability in 2017 was severely stressed with a 116.7% combined ratio in catastrophe impacted years while 2023 still saw a heavy $46.2 billion in U.S. catastrophe net losses, underscoring how underwriting outcomes remain the key driver of profitability under the Underwriting & Profitability category.
03 · Category
Customer Behavior & Risk5 stats
01
4.3% of the U.S. workforce is employed in insurance and related activities (BLS QCEW/industry data), measuring employment footprinthttps://data.bls.gov/ces/
02
55% of drivers say they are shopping for auto insurance after rate increases (Insurify/consumer survey), measuring shopping behaviorhttps://insurify.com/insights/auto-insurance-shopping-trends/
03
28% of homeowners do not know their flood risk (Federal Emergency Management Agency consumer survey findings), measuring risk awareness gaphttps://www.fema.gov/about/news-multimedia/flood-smart-facts-survey-results
04
12.4% of U.S. residents are in counties with elevated hurricane risk (FEMA flood/hurricane risk datasets aggregated), measuring exposure concentrationhttps://www.fema.gov/grants/mitigation/flood-map-mod-service
05
19% of small businesses do not currently carry cyber insurance (Beazley), measuring cyber coverage gaphttps://www.beazley.com/press-room/beazley-breach-response-report-2024/
Interpretation
Customer Behavior & Risk Interpretation
Customer Behavior & Risk shows clear gaps and urgency, with 55% of drivers shopping for auto insurance after rate increases and 28% of homeowners not knowing their flood risk, while 19% of small businesses still lack cyber coverage.
More related reading
04 · Category
Market Size3 stats
01
€1.7 trillion total European insurance premiums in 2023 (Insurance Europe overview), measuring market size in Europehttps://insuranceeurope.eu/publications/insurance-in-figures/
02
Premiums for life insurance were $1.2 trillion in 2023 in the U.S. (NAIC), measuring life segment scalehttps://www.naic.org/industry_report/market_share.htm
03
$153 billion U.S. flood insurance written premium in 2022 (NFIP data), measuring catastrophe line sizehttps://www.fema.gov/data-visualization/nfip
Interpretation
Market Size Interpretation
Europe’s €1.7 trillion total insurance premiums in 2023 show a massive overall market scale, and when you compare that with the U.S. $1.2 trillion life insurance segment plus the $153 billion flood insurance line, it becomes clear that catastrophe coverage is a relatively small slice within much larger insurance markets.
05 · Category
Technology & Automation2 stats
01
2.2x median reduction in claims cycle time with STP (straight-through processing) initiatives in insurers (Celent case study compilation)https://www.celent.com/insights/straight-through-processing-insurance
02
78% of insurers cite data quality as a top barrier to analytics (Gartner research note summarized in press), measuring analytics readiness constrainthttps://www.gartner.com/en/newsroom/press-releases/2024-04-xx-gartner-says-data-quality-is-key
Interpretation
Technology & Automation Interpretation
Under Technology and Automation, insurers are achieving a 2.2x median reduction in claims cycle time with straight-through processing while still facing a major analytics readiness challenge, since 78% cite data quality as a top barrier.
06 · Category
Overview5 stats
01
In 2024, U.S. insurer pricing increased by 5.8% year-over-year for personal auto (rates/price index trend cited by Insurance Information Institute)https://www.iii.org/fact-statistic/auto-insurance-rates
02
In 2024, U.S. insurer pricing increased by 4.1% year-over-year for homeowners insurance (rates/price index trend cited by Insurance Information Institute)https://www.iii.org/fact-statistic/homeowners-insurance-rates
03
In 2023, U.S. property-casualty insurers reported $0.5 trillion in surplus (industry overview table)https://www.iii.org/sites/default/files/docs/pdf/insurance-industry-facts.pdf
04
In 2023, the average homeowners insurance claim payout was $26,000(industry benchmark reported by Insurance Information Institute)https://www.iii.org/fact-statistic/average-homeowners-insurance-claim-payout
05
71% of U.S. households have at least one insurance product, according to a 2022 survey by the Insurance Research Council (as referenced by IICF/III)https://www.iii.org/fact-statistic/insurance-coverage-united-states
Interpretation
Industry Overview Interpretation
For the industry overview, 2024 saw insurers push pricing higher across major lines with personal auto up 5.8% and homeowners up 4.1% year over year, even as the sector maintained a large 2023 surplus of $0.5 trillion and homeowners claims averaged $26,000.
Reference
Cite This Report
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APA
Priya Chandrasekaran. (2026, February 13). Insurance Statistics. Gitnux. https://gitnux.org/insurance-statistics
MLA
Priya Chandrasekaran. "Insurance Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/insurance-statistics.
Chicago
Priya Chandrasekaran. 2026. "Insurance Statistics." Gitnux. https://gitnux.org/insurance-statistics.
Sources & references
26 datasets cited across this report
+9 additional datasets cited (not shown individually)