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Japan Insurance Market Intelligence
Koncept Analytics, Jan 2010, Pages: 24
Japan is the third largest player worldwide in terms of insurance premium. Despite this, the Japanese insurance industry has been declining since the past few years. This decline is attributed to high penetration rate of life insurance in the country. Further, the amount held per person is at least more than half as compared to what it is in the United States. This makes it difficult for the insurers to move on from the present market situation as there is a limited 10% of the population to be catered for the life insurers.
Like many other countries, the Japanese insurance industry can be categorized into two different segments: life and non-life. Life insurance contributes more than three fourth of the total industry, whereas non-life serves for only one fourth of the total insurance market in Japan. The per capita expenditure on insurance is very high in Japan; however, it is growing at a slower rate due to reduced foreign investment and fall in total population. The insurance penetration rate of Japan is higher than the average of the industrialized markets, in terms of premiums as a percentage of gross domestic products.
The present report gives an overview of Japan’s insurance market along with an analysis of the Japanese political structure and the economic growth. The report provides an insight into the market size and growth in insurance premiums as well as life and non-life premiums. Insurance premiums are discussed in terms of life and non-life segments and the density and penetration levels. The various developments and drivers are also discussed and finally the projections regarding premium growth are given. By combining SPSS Inc.’s data integration and analysis capabilities with our relevant findings, we have predicted the future growth of the Japanese insurance industry. We employed various significant variables that have an impact on this industry and created regression models with SPSS Base to determine the future direction of the industry and its sub-segments life and non-life insurance. Before deploying the regression model, the relationship between several independent or predictor variables and the dependent variable was analyzed using standard SPSS output, including charts, tables and tests.
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