The Industrial Internet Accelerates the Digital Transformation of the Manufacturing Industry

A few days ago, AiAnalysis, a domestic digital market research and consulting agency, released the "2022 AiAnalysis Industrial Internet Practice Report"
.
The report shows that the current world economic recovery lacks momentum, and China's economic development is facing "triple pressures".
The domestic manufacturing industry is faced with the challenges of multiple factors and uncertainties in the internal and external economic environment, while companies that have already engaged in digital transformation have shown stronger resilience and improved.
There is a huge space for development, and the Industrial Internet has released a strong momentum in it to promote the "acceleration" of digital transformation
.

This report is the 6th consecutive year that AiAnalytics has focused on the research results of the industrial Internet field.
Based on interviews with executives of 40 companies and desktop research of nearly 100 companies, the two key markets of industrial data intelligence platform and supply chain collaboration have been screened out.
Conduct research to provide companies with practical experience in digital transformation
.

Figure 1 Panoramic Map of Industrial Internet Market

The digital and intelligent transformation of traditional industries is accelerated

The report pointed out that in 2021, the integration of digital technology of Chinese enterprises with the real economy will be accelerated, the digital and intelligent transformation of traditional industries will be accelerated, and emerging industries will maintain a good momentum of development
.
The latest statistics from the Ministry of Industry and Information Technology show that in the first quarter of 2022, the added value of China's industrial enterprises above designated size increased by 6.
5% year-on-year, and the scale of the industrial Internet industry has passed the trillion yuan mark
.
According to AI analysis statistics, the average penetration rate of China's process manufacturing industry Internet industry is about 35%, and the average penetration rate of discrete manufacturing industry Internet industry is about 15%-20%
.

Figure 2 The penetration rate of industrial Internet segments in 2021

Huang Yong, partner and chief analyst of AiAnalysis, said: "In the digital age, China's manufacturing industry needs to transform and upgrade to intelligent manufacturing.
The industrial Internet has driven the transformation of traditional manufacturing models, production organization methods and industrial forms, and has equipped the digital transformation of enterprises.
'Smart brain' to improve the level of intelligent manufacturing and business innovation
.
This research selects two key markets that enterprises are concerned about, industrial data intelligent platform and supply chain collaboration, to provide suggestions and references for enterprises to accelerate digital transformation and upgrading
.
"

Advice on digital transformation of industrial enterprises

For industrial data intelligence platforms, industrial enterprises usually have the need to open up data silos, improve response speed, realize data-driven, fit enterprise business scenarios, and realize efficient customized development of data applications.
In this regard, AiAnalysis has the following three suggestions: 1.
Design of digital transformation scheme: The construction of data intelligence platform requires integrated design, and no formalism is required to recreate data silos
.
Second, multiple iterations and continuous upgrades: digital transformation is a spiral project that progresses and progresses.
It requires both overall and strategic perspectives, combined with its own business conditions and development stages, and with the help of the rich experience of digital manufacturers to continue digitalization.
Explore to establish a long-term mechanism to improve competitiveness
.
Third, the implementation process focuses on industry landing experience: manufacturers with relevant industry landing experience can, on the basis of understanding the business of enterprises in market segments, fit the enterprise's own production and operation status, help enterprises to make unified planning of data and improve the level of refined management , Improve the accuracy of data analysis, and promote the quality and efficiency of enterprises
.

Aiming at the supply chain collaboration market, Ai Analysis believes that the transformation and upgrading of supply chain management in China's industrial enterprises can be divided into three stages: informatization, digitization, and intelligence
.
The comprehensive digital transformation of the supply chain is a systematic project.
In order to reduce the risk of trial and error, in practice, most enterprises will complete the construction in batches
.
Therefore, enterprises need to be forward-looking in the early project planning, and reserve a certain space for the subsequent realization of other functions
.
At the same time, enterprise management also needs to strengthen their confidence in the transformation.
While managing their own expectations, they should mobilize the active cooperation of enterprise employees to lay a successful foundation for the overall digital construction
.

Figure 3 Specific digital transformation business requirements

In addition, the research also shows that the development of industrial Internet platforms is still in the early stage of competition.
With the deep integration of technologies such as digital twins and 5G with the industrial Internet, the industrial Internet will play a greater role in accelerating the digital transformation of enterprises
.
Love Analysis predicts that the compound annual growth rate of the actual market size of industrial Internet platforms will reach 30% from 2021 to 2025, and the actual market size will exceed 1 trillion yuan in 2025
.