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Top 10 Trends in China's "Intelligent Manufacturing" Sector for 2022
Intelligent manufacturing is a new production method based on new-generation information and communication technologies integrated with advanced manufacturing technologies. It permeates all aspects of manufacturing, including R&D, design, production, supply, and service, achieving comprehensive intellectualization. Intelligent manufacturing is a crucial direction for China to realize its "Made in China 2025" national strategy and has garnered significant market attention. For 2022, here are 10 trends in the intelligent manufacturing market you need to know.
Trend 1:
In 2022, the scale of China's intelligent manufacturing software market will reach 261 billion yuan, maintaining an annual growth rate of 15%.
China's manufacturing industry is vast, and within the macro-environment of "Digital China," there is a strong demand for intelligent transformation. With the continuous implementation of the "Made in China 2025" strategy and the powerful impetus from emerging technologies like the Internet of Things, cloud computing, and artificial intelligence, China's intelligent manufacturing software industry is in a growth phase. During this stage, the vast majority of manufacturing enterprises are transitioning from extensive management to refined, high-quality development. Simultaneously, the intelligent manufacturing field is receiving increasingly favorable policies.
Institutional data indicates that by 2022, the scale of China's intelligent manufacturing software market will reach 261 billion yuan, maintaining an annual growth rate of around 15%, and could grow into a 400-billion-yuan market by 2025. Segments like biopharmaceuticals and integrated circuits are hot demand industries in 2022.
Trend 2:
In 2022, manufacturing enterprises establishing digital technology subsidiaries will impact the market landscape.
A significant characteristic of the intelligent manufacturing software market landscape is that more and more non-traditional technology companies are entering the digital arena, establishing their own digital technology subsidiaries, becoming a vital force reshaping the competitive landscape. Examples include BMW Brilliance establishing the digital subsidiary LINGYUE, and Midea Group founding Midea Cloud.
In 2022, driven by digital demands that bring enterprises closer to customers, enable faster market response, increase production efficiency, and reduce resource consumption, a growing number of large manufacturing enterprises are also planning to establish their own digital technology subsidiaries. This helps align group operations more closely with development needs and leverages upstream and downstream industry resources to enhance overall competitiveness.
Trend 3:
Taking the "Dual Carbon" goals as an opportunity, intelligent manufacturing will accelerate in 2022.
At the 75th United Nations General Assembly held in 2020, China proposed the "Dual Carbon" goals, striving to peak carbon emissions by 2030 and achieve carbon neutrality by 2060. Intelligent manufacturing, as a representative of advanced productivity, is closely related to "Dual Carbon."
Future manufacturing enterprises will utilize big data, artificial intelligence, and IoT technologies to build energy efficiency management systems driven by intelligent manufacturing cores within smart parks. These systems will collect and analyze equipment energy consumption information, environmental data, and operational information to derive decision-making data related to energy consumption and efficiency. This helps managers understand historical and current energy usage, predict future energy consumption trends, and assists them in making correct energy efficiency improvement strategies, achieving integrated management of multiple energy sources, formats, and users. "Dual Carbon" represents a development opportunity for vendors, covering products, technology, marketing, and many other aspects.
Trend 4:
In 2022, the focus needs to shift from "intra-enterprise" to "inter-enterprise," capturing the industrial chain collaboration market.
The COVID-19 pandemic severely impacted the world economy and prompted China to reflect on building its industrial chains. Strengthening chains, complementing chains, chain chiefs, chain leaders, and industrial chain upgrades are frequently mentioned. Industrial chain digitization is the next digital direction following departmental informatization, enterprise informatization, and enterprise digitization. It is imperative to upgrade the traditional interaction models of upstream and downstream segments using digital technology, fostering collaboration throughout the product chain to build resilient, strongly, and robust industrial chains.
Data from the HaiBi Research Institute shows that at least 30% of leading software and cloud vendors have recognized this market shift and are actively responding. In 2022, vendors need to shift their focus from "intra-enterprise" to "inter-enterprise" and seize the industrial chain collaboration market.
Trend 5:
In 2022, cloud-edge协同 architectures will partially cloud architectures.
With the continuous development of technologies like the IoT and the exponential growth of data, cloud-based IoT solutions are gradually failing to meet the increasing demands of enterprises. More and more companies are turning to edge computing as an extension of the cloud to accelerate data analysis, facilitating faster and better decision-making.
Compared to other industries, the digital transformation of manufacturing has strong demands for "massive data," "real-time interaction," and "stability and security." In recent manufacturing transformation cases, edge devices have begun to appear frequently.
By integrating with technologies like AI, big data, and 5G, more efficient and cost-effective solutions are formed. The emergence and practice of cloud-edge collaboration aim to compensate for the shortcomings of traditional centralized cloud services, reducing latency, improving scalability, enhancing information access, and making business development more agile.
Trend 6:
In 2022, human-computer interaction technologies like AR and MR will drive user experience upgrades.
How to combine people, experiences, and business within the digital environment to continuously create better user experiences has become a key focus of enterprise management. Human-computer interaction technologies like AR and MR have great potential; immersive methods can bring entirely new experiences to manufacturing users.
Application scenarios include AR equipment management, AR training, AR inspections, and AR remote diagnostics. In 2022, more intelligent manufacturing software vendors will attempt to apply human-computer interaction technologies like AR and MR in the manufacturing industry.
Trend 7:
"IT + OT data integration and data-driven decision-making" is a crucial lever for implementing data elements in manufacturing.
Common applications in manufacturing used to be project management, R&D management, and collaboration tools. However, with the development of the digital era, these have become software-based and generate vast amounts of data. Data is divided into two categories: IT data and OT data.
Based on the basic status of physical entities and by integrating these two data types, a complete digital twin model of facilities, equipment, and products can be constructed. This covers the entire process from order receipt and production to shipping logistics monitoring, enabling real-time monitoring and even predicting potential future business changes in the digital world. This facilitates data-driven decision-making and enhances the agility of intelligent manufacturing.
Therefore, "IT + OT data integration and data-driven decision-making" is of great significance in building smart factories and is a key lever for implementing data elements in manufacturing.
Trend 8:
Data security ranks first in vendor technology, requiring increased attention from vendors in 2022.
According to the HaiBi Research Institute, data security tops the list of vendor technology, with 23% of vendors indicating it as their primary focus. The reason for this is that data is the cornerstone of the DT (Data Technology) era, and data security, as a vital component of data governance, is crucial to its success or failure.
Whether driven by internal business development needs or external compliance requirements like the "Data Security Law of the People's Republic of China," how to achieve effective data security governance and ensure data protection is a critical issue for manufacturing enterprises and intelligent manufacturing software vendors in 2022.
Trend 9:
In 2022, "Specialized and Sophisticated" enterprises deserve attention from all vendors.
In July 2011, the Ministry of Industry and Information Technology's "Report on China's Industrial Development and Industrial Policy (2011)" stated: "Vigorously promote the development of small and medium-sized enterprises towards specialization, refinement, differentiation, and innovation." This was the first appearance of "Specialized and Sophisticated" in our.
Subsequently, the MIIT issued guidance on promoting the "Specialized and Sophisticated" development of SMEs in 2013 and proposed nurturing "Little Giant" enterprises specializing in novelty and refinement in 2018. It wasn't until a decade later that "Specialized and Sophisticated" truly gained prominence. By September 2021, the MIIT had announced three batches of "Little Giant" enterprises, totaling 4,762 companies.
In 2022, more "Specialized and Sophisticated" manufacturing enterprises with core technologies will embrace new development opportunities. They represent a significant new market for intelligent manufacturing and deserve attention from all vendors.
Trend 10:
The talent shortage problem will become more acute in 2022.
In the future, enterprises will continuously strengthen their intelligent manufacturing capabilities, enhancing equipment digitization and networking, intensifying digital design, building intelligent workshops, extensively applying integration technologies, and analyzing production and manufacturing data. More and more manufacturing companies recognize that intelligent manufacturing is key to improving core competitiveness, leading to high and rising demand for intelligent manufacturing talent.
The demand for talent with expertise in both IT and manufacturing is increasing faster than the supply, resulting in a talent shortage in the market. This situation will become even more pronounced in 2022. It requires close attention from the government, universities, vendors, enterprises, and all parties involved in the systematic cultivation of intelligent manufacturing talent.
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