Prospects for service robots are expected to reach trillion-scale market size

With the opening of market space and the continuous increase of industry scale, companies in various fields have entered this market and actively deployed. At the same time, China's service robotics industry has flourished under the guidance of policies and the support of technology and demand. Key technologies such as key components and algorithms, as well as specifications and standards, are becoming an important direction for the industry to break through.

According to the “Analysis Report on the Development Prospects of China's Service Robot Industry” released by the Industry Research Institute of Forward-looking Industry, the total value of the global commercial service robot market is currently growing at a rate of 20% to 30%. It is expected that this year's scale will reach 46.18 billion US dollars; and the market Researcher IDC's recent release of the white paper “The New Ecology of Robots 3.0 in the Age of Artificial Intelligence” shows that by 2020, the global market for commercial service robots will reach US$17 billion in the medical, retail, wholesale, public utility, and transportation sectors. In the next decade, the Chinese market will further realize the trillion market scale of the robot industry.

The service robot itself is a combination of hardware and software, and it can also be said to belong to intelligent hardware. The entire industry chain of hardware products is relatively long, from the previous research and development cycle, to the production investment, to the market channel and so on. It is slightly different from the Internet companies' rapid iterative genes.

The iteration of Internet products is very fast, and the iterations of service robots are at least calculated in years. For the polishing of products, the management of industrial chains, and the cooperation of suppliers, service robots have their own unique places.

There are currently two types of enterprises that serve incoming robots. One is the entrepreneurs of scientific research departments. For example, Wang Ye, the founder of Nernpo Technology, is a researcher from Beihang University, and Wang Qi, the founder of DJI Innovation, is from the Hong Kong University of Science and Technology, and the HIT Research Institute. The robot is the lead unit of HIT mechanical electronic engineering discipline.

The other category is the Internet company. As the mobile Internet's dividends gradually decline, more and more Internet industry personnel are turning to service robots, or from the Internet industry to artificial intelligence, and then into the robotics industry, such as Baidu. Smart stewards, triangle beasts and Shanghai Yueming Technology.

Compared with industrial robots, service robots have lower requirements for control accuracy, more emphasis on miniaturization and flexibility, and mostly servos as the main control module, but parts such as speed reducers and motors have basically formed monopolies abroad. Although China's service robot servo technology is relatively backward as a whole, in recent years, domestic companies have started independent innovation and gradually reduced the market share gap with low-cost advantages.

The service robot has already begun its outbreak in 2017, but it is still far away from a truly mature market. Dr. Kong Xiangzhe of Beijing Institute of Technology predicts that there will be another five years or so and the market may become mature.

Previously, Wang Cairong, executive deputy secretary-general of the Chinese artificial intelligence robot industry alliance, said: For service robots, who can create more convenient, smarter, more extensive application scenarios, so that the commercial value of the robot can be landed faster, service industries, Whoever occupies the strategic height of the industry competition.

In terms of human-computer interaction, relevant domestic algorithms and terminal companies have actively cooperated to explore new directions for interactive intelligence. With the gradual development of multi-modal human-computer interaction technologies such as voice, visual images and brainwave interactions, service robots are gradually evolving from control intelligence to interaction intelligence. In the future, as the industry chain gradually matures, companies that do deeper penetration in the segmented areas will gain an edge in the future when the service robot industry bursts in large scale and emerge from the market.

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