The maturity of intelligent technology makes life easier, and the realization of small scene digitization also enables consumers to manage their daily life more scientifically, and then usher in a new lifestyle. This also puts forward more diversified and personalized requirements for the innovation of small household appliances.

With data analysis
Make the response more accurate

At the 2021 national tide new consumption conference held recently, insiders said that when analyzing consumers' consumption habits recently, they found that the most obvious change is that their needs are fragmented. Everyone has different needs and wants different products and services, Universal and popular intelligent products are no longer enough to meet the individualized demands of every small group.

In this regard, insiders said that small scene intelligent technology can realize personalized response in more fragmented scenes. Take all kinds of smart small appliances as an example. In places with high altitude, the boiling point of water will decrease. Many rice cookers can't cook well at high altitude because they don't know the altitude of their location. Through data accumulation and analysis, small household appliance manufacturers can summarize the preferences of different users for cooking styles and their own positions, so as to realize the accurate recommendation of cooking methods.

For example, parents will choose to cook for their children's health, but some complex dishes not only take a long time, but also may have unsatisfactory taste. At this time, the cooking robot comes out and can solve the problems of dietary health and oil fume in the process of automatic cooking according to the needs of core users; For example, the sweeping robot can identify whether the owner has left home and automatically sweep and mop the floor through various sensors.

Horizontal and vertical two-way expansion
Meet consumer needs

According to the Research Report on market prospects and investment opportunities of China's home appliance industry released by China Commercial Industry Research Institute, the consumption upgrading trend of small home appliance industry is mainly reflected in two aspects.

On the one hand, with the increasing demand of consumers for products with exquisite, healthy and modern characteristics, small household appliances continue to innovate and develop in a long tail to meet consumer needs and solve consumer pain points. In recent years, driven by market demand and industrial policies, the intelligent small household appliance industry has developed rapidly. The data show that in 2020, the online market scale of small household appliances will reach 36.6 billion yuan and the offline market will reach 20.03 billion yuan. Even in 2021, when the prices of raw materials generally rise, the small household appliance market will only show a small negative growth. The industry predicts that the online market scale of small household appliances will reach 35.88 billion yuan and the offline market scale will reach 16.71 billion yuan in 2021.

On the other hand, in order to meet the needs of consumers, smart small appliances expand horizontally and vertically in their original functions. In terms of horizontal expansion, small household appliances with single function are gradually developing to multi-functional or composite functions. In addition, the innovation of small household appliances has deepened vertically in the original functional requirements, and gradually developed to high-end, intelligent and healthy diversified and personalized products, injecting a strong driving force into product innovation.

Industry insiders said that the future will not be the era of single products, but the era of multi category and vertical integration. A single product cannot contain all functions, and the interactive interconnection between devices is inseparable from data, AI and integration. Smart small appliances will carry out personalized matching according to the needs of different people, and output different functions to different people through data accumulation.