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Consumer Attitudes and Online Retail Dynamics in the China, 2013

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Consumer Attitudes and Online Retail Dynamics in the China, 2013
Complete report available @ http://www.rnrmarketresearch.com/consumer-attitudes-and-online-retail-dynamics-in-the-china-2013-market-report.html

“Consumer Attitudes and Online Retail Development in China, 2013″ is the result of Canadean’s extensive market research covering the online retail industry in China. It provides the magnitude, growth, share, and dynamics of the online retail market in China. It is an essential tool for companies active across China’s online retail value chain and for new companies considering entry into China’s online retail market. It provides data for historic and forecast online retail sales, and also includes the business environment and country risk related to China’s online retail environment. By examining best practice from leading national large-scale online retailers (but specifically excluding the likes of Amazon, whose sites are well-known and vary little by country), as well as reviewing innovative approaches from smaller retailers, the report provides insights and ideas about how best to approach growing online sales for your business.

Online retailing in China has been dominated by the C2C segment, which achieved a market share of 67.7% by 2012. However, B2C retailers are increasing rapidly. According to IEC tracker, B2C recorded a 74.4% year-on-year increase, which is 2.4 times the rate of increase of C2C. Alibaba group’s Tmall lead the B2C segment of the market with a share of more than 50%.

Major online retailers are working on building better logistics services and are expanding their reach to customers by implementing multi-channel strategies.

Key Features and Benefits

Understand the consumer behaviour and online trends in China.

Understand which products will be the major winners and losers in the coming years.

Learn from best practice approaches outlined in the case studies of leading online retailers.

Improve market and strategic planning using highly granular, forward-looking market data.
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