TOP50 of AI Applied Enterprise in 2018: Machine Vision and Intelligent Robot in the Fast Lane

"AI priority, application is king" has increasingly become the consensus of the AI market. Recently, in order to better track the development trend of this market and the value connotation of new Technology-New business transformation, the research team of Geeknet selected TOP50 rankings of AI application enterprises in 2018 based on the four dimensions of technology and product capability, capital strength, commercialization status and industry potential of enterprises, and published a report to explain their development status.

According to the report, AI enterprises of machine vision and intelligent robots are in the fast lane of development, and the number of AI enterprises of both occupies 42% of the list. According to the research of geek network, machine vision, as an important branch of AI, is booming because it coincides with the big strategy and trend of "Industry 4.0" and "Made in China 2025". At the same time, AI enterprises that develop intelligent robots are still not a few, and most of them are divorced from the development of a single product line and actively expand industry applications. Many enterprises have built their own complete robotic ecological chain and realized their own business development.

TOP50 List of Applied AI Enterprises in 2018

A month-long selection campaign for the 50 most noteworthy AI companies in 2018 received more than 80 self-recommendation or recommendation companies in the early stage. 54 of them were qualified by the editors of Gekko Network and accepted the votes of users. Finally, the top 50 enterprises entered the final evaluation list. Finally, the research team of Gekko Network based on the technology and product capabilities, capital strength and business ability of enterprises. Based on the investigation and analysis of the four dimensions of industrialization status and industry potential, the following TOP50 list of applied AI enterprises in 2018 is obtained:

Relevant data show that the scale of AI industry in China exceeded 10 billion yuan in 2016, with an increase rate of 43.3% reaching 10.06 billion yuan. In 2017, the growth rate has increased to 51.2%, and the industrial scale has reached 15.21 billion yuan. It is expected to grow to 34.433 billion yuan in 2019. The compound annual growth rate will remain between 40% and 50% in the coming years.

Machine vision and intelligent robots are on the fast track of development

According to the application fields of the listed companies (the fields/labels in the list represent the main application fields of the company), there are 11 machine vision companies, accounting for 22%. The smart robot industry ranks second with 10 companies, accounting for 20%.

1. Machine Vision Group competing for hegemony

According to the research of geek network, machine vision, as an important branch of AI, is booming because it coincides with the big strategy and trend of "Industry 4.0" and "Made in China 2025". The so-called machine vision mainly uses computer to simulate human visual function, extract, process and understand the image information of objective things, and ultimately for actual detection, measurement and control. Machine vision can be regarded as the soul window of industrial automation system. From object/bar code identification, product detection, appearance dimension measurement to manipulator/transmission equipment positioning, machine vision technology can play a role in the stage.

As we all know, intelligent manufacturing is the main direction of realizing "Industrial 4.0" and "Made in China 2025", and machine vision is the most important part of intelligent manufacturing. Combined with the TOP50 list of applied AI enterprises in 2018, it is not difficult to find that machine vision has become a giant in the development of AI industry in China, including Shangtang Technology, Ignorance Technology, Yuncong Technology, Malong Technology, Ito Technology, Gling Shenpupil and other large votes of "star" enterprises on the list. Most of these enterprises have completed B/C/round financing, and expanded their territory in the application of face recognition, security monitoring and intelligent manufacturing.

2. Intelligent Robots Blossom in Flowers

In the second smart robot industry, most of the companies on the list are consumer robots companies. Consumer robots have been in their infancy since 2014, but in the next two years they have experienced a transition from prosperity to decline. But after the big waves wash out the sand, we found that there are still many excellent manufacturers to adhere to so far, and have made good development trend. Combining with the research of the List Unipolar Passenger Network, it is found that there are still not a few enterprises developing intelligent robots in the domestic AI industry, and most of them are divorced from the development of a single product line and actively expand the application of the industry. Many enterprises have built their own complete robotic ecological chain and realized their own business development.

According to the analysis of geek network, for the enterprises in the field of intelligent robots, the most urgent task is how to adopt the strategy of reducing costs and prices, quickly occupy the market, and establish the market share advantage; at the same time, attract developers, develop applications, promote the popularization of technology, and ultimately form an enormous ecological system of intelligent robots. Unlike the original focus on smart customer service and home entertainment, today's smart robotics enterprises are also bringing more industry application scenarios into their vision, including Rokid, Premier Selection, Yunwen Technology, Qiyu Technology and other "star" enterprises.

AI priority, application is king

In addition to the above two categories of application-oriented AI enterprises, combined with the TOP50 list of application-oriented AI enterprises in 2018, these 50 companies cover almost all aspects of AI applications, including intelligent algorithms, intelligent retail, intelligent finance, text processing, intelligent robots, machine vision, intelligent driving, intelligent education, intelligent chip, smart city, intelligent cloud, smart medicine and intelligence. Able to manage.

Among them, smart driving and smart finance are ranked third by four companies, smart retailing, smart algorithms and smart chips are ranked fourth by three companies, while smart medicine, smart text processing and smart chips are ranked fourth by three companies.The total proportion of these applications is as high as 88%.

According to the analysis of Geek Network, the concept of AI, which was born in the 1950s, has finally ushered in the best era after several ups and downs, thanks to the explosive growth of data, the rapid decline of IT costs, and the leap in computing power and algorithms. Nowadays, every farsighted country, every farsighted enterprise, has put AI in the most important position.

As Louis Coppey, a partner of Point Nine Capital, believes, after the first wave of pure research companies and the second wave of machine learning infrastructure companies, the era of the third wave of AI companies, Applied AI companies, has arrived. At this stage, companies that have identified the priority strategy of AI should pursue application as the king and accelerate the development of AI in all walks of life.