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Snapshots Hong Kong Clothing 2009
Snapdata International Group, Aug 2009
Snapdatas Snapshots Hong Kong Clothing 2009 provides 2008 year-end market size data, with 2009 estimates, 5 years of historical data and five-year forecasts. The Snapshots report gives an instant overview of the Hong Kong clothing market and covers menswear, womenswear and childrenswear. Market value is based on total domestic sales. The data is supplied in both graphical and tabular format for ease of interpretation and analysis. The Snapshots Hong Kong Clothing 2009 forms part of Snapdatas Clothing industry coverage.
Snapshots Report Overview:
Executive Summary
The Executive Summary within a Snapshots report outlines the main findings of the report (market size, market shares and market forecasts)
Market size
Market size is the measure of the total value or volume of a particular product sold in a particular length of time. In our case it is the total amount of the market covered by a title in the last whole year, for example, in UK Beer 2005, all the beer consumed in the UK in 2004. The aim of the report is to tell how much of the product was consumed in the country discussed by value and by volume.
Market Segmentation
Market Segmentation is a segmentation of the market by key product categories, ideally by value and volume. For example: the yoghurt market can be segmented into: drinking yoghurt, flavoured yoghurt and natural yoghurt.
Market Share
Market Share is the share of each competitor in the market place and can be expressed in value or volume terms.
Market Share by Volume - each competitor’s share of the total Market Volume
Market Share by Value - each competitor’s share of the total Market Value
Distribution
This measure of the market relates to the different distribution channels to market for each product. The distribution can include the following channels
Consumer Goods example:
- Supermarket
- Hypermarket
- Discount Store
- Corner shop
- Internet
- Etc
Socio-Economic data
The key socio-economic indicators in each report will be:
Size of population
GDP - Gross Domestic Product
Inflation rate
Exchange rate
Forecasts
All market forecasts are based on statistical forecasting techniques based on historic performance (linear extrapolation of the market size, based on the five-year historical growth). These statistical tools are supplemented with qualitative parameters such as: industry expectation/opinion. Socio-economic drivers, new product development, technological advances, expected levels of market saturation etc.
Please find below an explanation of general terms used throughout Snapshot reports:
CAGR = compound annual growth rate. This is a formula to measure the annual growth rate of a market over a period of several years. CAGR growth rate is the constant percentage rate at which a market would have to grow, year on year, to reach its current value (y) from the value in a base year (x). Compared to average growth rate this is a more representative measure of growth. CAGR is calculated using the formula ((y/x)^(l/n))-1 where ‘^’ denotes ‘to the power of’, y is the value of the market in the final period covered, x is the value in the first year and n is the number of years included in the calculation.
Market Value = All market values are expressed at either retail selling prices (RSP) or other measures as specified in the reports.
Market Volume = All market volumes are expressed in the unit relevant to the market researched (i.e. kg, litres etc.)
Further Sources
In this section we include important websites such as trade bodies or trade associations relevant to the market. All sources whose data we have used in the report and who have given us permission to use their data are represented here.
All secondary sources in local and global languages are scoured, from government statistics to trade magazines. As the Snapdata model is unique as a product and non-competitive to specialist publishers, the company has also been able to develop strong relationships with companies such as Gartner and ACNielsen, who provide secondary data points to cross check research.
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