Non-life Insurance – BRIC (Brazil, Russia, India, China) Industry Guide

Datamonitor’s Non- (Brazil, Russia, , China) Industry Guide is an essential resource for top-level data and analysis covering BRIC (Brazil, Russia, India, China) Non- industry. report includes easily comparable data on market value, volume, segmentation and market share, plus full five year market forecasts. It examines future problems, innovations and potential growth areas within market.

Scope of the Report
- Contains an executive summary and data on value, volume and segmentation
- Provides textual analysis of the industry’s prospects, competitive landscape and profiles of the leading
- Incorporates in-depth five forces competitive environment analysis and scorecards
- Compares data from Brazil, Russia, India, and China, alongside individual chapters on each country. .
- Includes a five-year forecast of the industry

Highlights
The BRIC market grew by 19.2% between 2004 and 2008 to reach a value of $112.7 billion.
In 2013, the market is forecast to have a value of $206.6 billion, an increase of 12.9% from 2008.

Russia was the fastest growing country with a CAGR of 24.8% over the 2004-08 period.
Why you should buy this report
- Spot future trends and developments
- Inform your decisions
- Add weight to presentations and marketing materials
- Save time carrying out entry-level research
Market Definition

The non-life insurance consists of the general insurance market segmented into the accident and sector and the property and casualty insurance sector. The value of the non-life insurance market is shown in terms of gross premium incomes. Any currency conversions used in the report have been calculated using constant 2008 annual average exchange rates. The non-life insurance market depends on a variety of economic and non-economic factors and future performance is difficult to predict. The forecast given in this report is not based on a complex economic model, but is intended as a rough guide to the direction in which the market is likely to move. This forecast is based on a correlation between past market growth and growth of base drivers, such as house price growth, GDP growth and long-term interest rates.

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