Dalian Clothing "Online Shopping" Overall Size Forecast Will Reach 6 Thousand Billion.

"The clothing industry has molded today's Taobao.

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Taobao can succeed because it complied with the development trend of the electricity supplier. "

On the 21 day of the clothing textile business forum, Cao Lei, director of the China Electronic Commerce Research Center, believes that the current clothing business operators should also grasp the future development trend.

Since 2007, a famous online clothing brand has increased, and larger clothing products, such as fans, Masa Marceau, dream bazaar, and so on, have become the first selling products of online shopping.

Since 2012,

The scale of the market maintained a large proportion of steady growth, and showed a trend of sustained slowdown. The sales channel of clothing business was expanded to C2C, B2C, O2O, virtual fitting room and other new models and new technologies. The sales of mobile terminals increased rapidly, and the internal structure was optimized and maintained relatively stable development trend.

In 2013, the scale of China's apparel online shopping market is expected to reach 434 billion 900 million yuan, accounting for 23.1% of the total online shopping market.

China's e-commerce research center predicts that the overall scale of China's clothing online shopping market will reach 615 billion 300 million yuan in 2014.

Cao Lei indicated that the current electricity supplier's development has presented the new trend.

Social shopping is booming, Alibaba and Sina micro-blog have established cooperation, Tencent has begun to join hands with Jingdong, and many social platforms have begun to move closer to the electronic business platform.

Although social shopping is not yet successful, there is still great potential.

New technologies such as Internet of things, cloud services and big data will also have an impact on the development of e-commerce.

Cao Lei said big data is right.

The development is of great significance. For example, the market demand for clothing products in various regions of the country will be different. In the past, the process of clothing distribution is experience, but through big data, we can understand the actual differences of local markets in detail, so as to place targeted products.