Non-life insurances - G7

  • G7
  • The Non-life insurance market in the G7 countries is projected to reach a market size (gross written premium) of US$3.03tn in 2024.
  • The average spending per capita in the Non-life insurance market is expected to amount to US$3.89k in 2024.
  • With an annual growth rate of 3.16% (CAGR 2024-2029), the gross written premium is estimated to reach US$3.54tn by 2029.
  • Among the G7 countries, the United States is expected to generate the highest gross written premium, reaching US$2,500.0bn in 2024.
 
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Analyst Opinion

The Non-life insurances market in G7 countries is experiencing dynamic changes driven by evolving customer preferences, market trends, local special circumstances, and underlying macroeconomic factors.

Customer preferences:
Customers in G7 countries are increasingly seeking personalized and comprehensive non-life insurance coverage to protect their assets and mitigate risks. There is a growing demand for flexible policy options, digital insurance services, and quick claims processing. Additionally, customers are placing more emphasis on sustainability and ethical business practices when choosing insurance providers.

Trends in the market:
In the United States, the non-life insurance market is witnessing a rise in demand for cyber insurance due to the increasing frequency of cyber attacks. In Japan, there is a growing trend towards earthquake insurance following recent seismic activities. The United Kingdom is experiencing a shift towards usage-based insurance, particularly in the auto insurance sector. In Germany, there is a noticeable increase in demand for liability insurance among small businesses. France is seeing a surge in interest in pet insurance as more households consider pets as part of the family. Italy is observing a trend towards bundled insurance products that offer convenience and cost savings. In Canada, there is a focus on developing innovative home insurance solutions to address climate-related risks.

Local special circumstances:
Each G7 country has its unique regulatory environment, cultural norms, and market conditions that influence the non-life insurance sector. For example, in Japan, the government plays a significant role in promoting disaster insurance to protect citizens against natural calamities. In the United States, the presence of multiple insurance providers competing in a fragmented market leads to diverse product offerings and pricing strategies. Germany's strong manufacturing sector drives demand for specialized business insurance products, while the UK's mature insurance market is characterized by a high level of consumer awareness and product sophistication.

Underlying macroeconomic factors:
The performance of the non-life insurance market in G7 countries is closely tied to macroeconomic indicators such as GDP growth, interest rates, inflation, and regulatory changes. Economic stability, technological advancements, demographic shifts, and climate change also play a crucial role in shaping the landscape of non-life insurance. As G7 economies continue to recover from the impact of the global pandemic, the non-life insurance market is poised for further growth and innovation to meet the evolving needs of customers.

Methodology

Data coverage:

Data encompasses B2B and B2C enterprises. Figures are based on gross written premium, gross written premium per capita, gross claim payments, loss ratio, and distribution channels.

Modeling approach / Market size:

Market sizes are determined by a Bottom-Up approach, based on a specific rationale for each market layer. As a basis for evaluating markets, we use industry associations, national statistic offices, and international organizations, such as OECD. Next we use relevant key market indicators and data from country-specific associations such as insurance consumer spending, gross domestic product, insurance - consumer price index (CPI), population growth. This data helps us to estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the particular market. For example, exponential trend smoothing and HOLT-linear. The main drivers are insurance consumer spending and insurance - consumer price index (CPI).

Additional Notes:

The market is updated twice per year in case market dynamics change. The impact of the COVID-19 pandemic is considered at a country-specific level.

Overview

  • Gross Written Premium
  • Gross Claim Payments
  • Loss Ratio
  • Analyst Opinion
  • Methodology
  • Key Market Indicators
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