Smart home is now a new trend in home technology and has received widespread attention. Whether it is a traditional home manufacturing company or an Internet company, it is very concerned about the development of the smart home industry. The development of smart homes can be said to have made great progress in these two years. China Smart Home Network stated that smart homes have become a breakthrough point for major brands to achieve growth.
China Smart Home Network said that the smart home industry is not concentrated, even if a relatively large company can achieve 2 billion a year has been considered very good. At present, there is no home brand that can reach 10 billion in China. Even if it is a relatively good all-friends' furniture, sales have declined due to the industry downturn in recent years. Therefore, smart homes can be said to be the best breakthrough for these home brands to achieve sales growth.
In addition to the traditional home industry that will focus on smart home, many manufacturers outside the home industry will also want to cross over to compete for this market. For example, Xiaomi recently invested in smart home companies , and now more than a dozen of them have started to put products on the market, which seems to be very powerful. However, China Smart Home Network believes that the focus of Internet companies like Xiaomi is not the single market of home or smart home. What they need more is the big data behind this.
Today's consumers are no longer just satisfied with the purchase of traditional household products. Smart homes are increasingly favored by young consumers. China Smart Home Network believes that there will be more useful and interesting smart homes in the future. For example, young people can remotely control TVs and electric lights in their parents’ homes in another city.
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The need for energy storage arises due to the intermittent nature of renewable energy sources like wind and solar, as well as the fluctuating demand for electricity. Energy storage systems help balance the supply and demand dynamics by storing excess energy during low-demand periods and releasing it when demand is high.
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