The strong remain strong, the weak weaker

Although the industrial Internet industry has made gratifying achievements in China in terms of scale, structure or outstanding enterprise individuals, it is still possible to find some details worthy of attention when looking at the application level of enterprises.

DSQC545A Liu Duo, president of the China Institute of Information and Communication, said in August this year that the domestic industrial Internet is in the stage of “upgrading + remedial lessons + innovation”. According to her data in the “China Industrial Internet Development Effectiveness Evaluation Report”, the penetration rate of convergence application in large enterprises in China is 86.1%, the penetration rate of convergence application in medium-sized enterprises is 68.7%, and the penetration rate of convergence application in small and micro enterprises is 51.8%. She concluded that the digital foundation of large enterprises is good, the application of new models has obvious benefits, and the penetration rate is high; The foundation of small and medium-sized enterprises is weak, the investment cost is high, and the penetration rate is low.

However, even the enterprises that have applied the industrial Internet can not be said to be “carefree”. According to the proportion of new models of industrial Internet applied by enterprises in 2019, the proportion of four new models of intelligent production, network collaboration, service extension, and large-scale customization in enterprises is 33.2%, 26.8%, 14.4%, and 8.7%, respectively. It is obvious that intelligent production and network collaboration are still the main application mode of the industrial Internet, and the popularity of relatively “high-level” applications such as service extension and large-scale customization is still not high.

Professor Wu Qingsheng commented that at present, the industrial Internet application of domestic enterprises has a good start, but there is still a long way to go for real in-depth mining.

President Liu Duo in the “China Industrial Internet DSQC545A Development Effectiveness Evaluation Report” the current crux of the enterprise in this area is summarized as “four Nos” – do not want to, will not, can not, dare not. “Do not want to use” is due to the lack of subjective initiative of the management team; The “unusable” is due to the need to strengthen the enterprise’s network foundation, the “network connection rate of production equipment in the enterprise” is 48.8%, and the “standardized data protocol penetration rate” is 65.9%. “Will not use” is due to the lack of relevant cognition and talent reserve, 43.8% of enterprises said that they do not understand the relevant technology; “Dare not use” is due to the low profit level of domestic enterprises (especially manufacturing), low risk tolerance, 74.4% of enterprises said that industrial Internet transformation “capital investment is too large, long return cycle”.

DSQC545A

It is true that large enterprises are the vanguard of industrial Internet landing and have irreplaceable strategic value. However, we should see that small and medium-sized enterprises account for the vast majority in number, and the considerable market size of the industrial Internet in the future is composed of this part. If large companies are like beacons pointing the way, then the gap between these leaders and smes is like the shadow under the tower – the brighter the lighthouse, the longer the shadow on the ground.

Although no figures can be found to directly compare the efficiency of industrial Internet applications, Accenture’s report on the use of artificial intelligence in Chinese Enterprises divides the application of artificial intelligence into three stages, which can be indirectly compared:

In the proof-of-concept phase (80-85% of enterprises), experiments and pilots are often run in isolation by IT departments, with low success rates and ROI. Scale promotion stage (15-20% of enterprises), establish a clear application strategy and operation model closely related to business objectives; Industrial growth stage (not more than 5% of enterprises).

According to Accenture’s research, in the second stage DSQC545A alone, the success rate of enterprises applying AI is already twice that of the previous stage, and the return on investment level is nearly three times that of the previous stage. We have reason to infer that there is also a relatively large gap in the application level of industrial Internet among domestic enterprises. In addition, at present, the industries with high popularity of industrial Internet application in China either belong to high output value and high energy consumption, and the application improvement effect is obvious; Either the two foundations are better and the willingness to participate is higher, so it is easier to form the Matthew effect of “the strong are always strong and the weak are weaker”. If we do not take targeted measures against this unbalanced state, it will not be conducive to improving the overall strength of Chinese enterprises, and it is not conducive to realizing China’s transformation from “manufacturing power” to “manufacturing power”.