Global Professional Service Robot Market Turnover Increased by 12% Year on Year
The 2021 global turnover of the professional service robot market reached USD 6.7 billion (sample method), an increase of 12% over 2020. At the same time, the turnover of new consumer service robots increased by 16% to USD 4.4 billion.
At present, industrial robots can be divided into three categories: collaborative, mobile, and special type. The automation equipment robots on the production line are a large category: the so-called collaborative robots, including automated inspections, automated manipulators, and integration with automated equipment.
Mobile robots can be classified from production to logistics — Indoor mobile robots in production lines and warehousing belong to one category, and outdoor park logistics vehicles belong to another one. And special robots carry out functions such as patrol inspection and drawing.
The additional demand of the global pandemic has promoted the five major application trends of professional service robots:
1. One-third of professional service robots are manufactured for cargo transportation. The turnover of autonomous mobile robots (AMR) and delivery robots increased by 11% to more than $100 million. Most of the professional service robots sold operate in the indoor environment of production and warehouses.
2. The demand for professional cleaning robots increased by 92% to 34,400 units. In response to the increasing hygiene requirements caused by the Covid-19 pandemic, more than 50 service robot suppliers have developed disinfection robots that spray disinfectant or use ultraviolet lamps. It is estimated that from 2021 to 2024, the sales volume of professional floor cleaning robots will increase at an average annual rate of double digits.
3. In terms of value, the sales of medical robots in 2020 accounted for 55% of the total turnover of professional service robots. It is mainly robotic surgical equipment that has promoted this change with the turnover increased by 11% to USD 3.6 billion.
4. Hotel robots are becoming more and more common, with a turnover of USD 249 million. The turnover of robots for food and beverage preparation almost tripled to USD 32 million (+196%). There is still huge potential for hotel robots in the future.
5 Service robots used for housework are the largest group of commercial robots. In 2020, nearly 18.5 million units were sold with a value of USD 4.3 billion.
The demand for data labeling continues to increase
From the perspective of the research direction of artificial intelligence technology, whether in the field of traditional machine learning or deep learning, supervised learning based on training data is still a major model training method. Especially in the field of deep learning, more labeled data is needed to improve the effectiveness of the model.
Customized dataset
With the acceleration of the commercialization of AI and the application of AI technologies in all walks of life, the expectation of data quality in special scenarios is getting higher and higher. High-quality labeled data would be one of the core competitiveness of AI companies.
If the general datasets used by the previous algorithm model are coarse grains, what the algorithm model needs at present is a customized nutritious meal. If companies want to further improve certain models’ commercialization, they must gradually move forward from the general dataset to create the unique one.
End
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