The overall industrial ecological construction has spawned new links and processes and new competition subjects

With the in-depth development of industrial networking technology, developed countries pay more and more attention to the important role of network technology in reshaping the overall industrial ecology and enhancing national industrial competitiveness, and the development goal has shifted from the early revival of local manufacturing industry to give full play to the penetration, empowerment and transformation effect of industrial intelligence networking to improve the overall quality of industrial development.

The United States further increased government support for artificial intelligence, 5G, advanced manufacturing and other industries, and continued to increase investment in research and development. Germany has successively issued a series of strategic policies such as “Digital Strategy 2025” and “German Industrial Strategy 2030” to promote the formation of multi-level industrial clusters. The EU and its member States continue to promote the development of new industries and the reinvention of high value-added parts of existing industries. Japan launched the “Industrial Value Chain Program” to establish a local and interconnected industrial support system.

Under the overall industrial ecological construction goal, new links and new processes such as industry data annotation have emerged, and AI-centered service enterprises have become a typical representative of new market players. Data service industries such as data annotation are concentrated in warehousing, logistics and security scenarios, and large-scale and high-quality annotated data sets have gradually become a requirement for industrial development.

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The fragmented characteristics of industrial scenes require continuous iterative optimization of industrial intelligent models. At present, a number of industrial service enterprises with AI technology as the core have been born in the fields of high-value equipment health management, injecting AI capabilities into the industrial production management process to provide users with intelligent services such as equipment supervision, operation and maintenance, and predictive maintenance. In addition to AI service enterprises, large consulting companies have also joined the intelligent services market competition to expand market share with the advantages of customized intelligent solutions.

Multi-stakeholder cooperation, pay attention to technical standards and industrial development safety

There are roughly two types of development models in the industrial network technology industry. The enterprise-led model represented by the United States breaks down technical barriers in industries and regions through industrial alliances, and promotes the integration of physical systems and digital networks. The government-led model represented by Germany “top-down” carries out cooperation between the government and stakeholders, gathering enterprises at all levels to promote research and development work such as standards, research and development, and testing.

Whether it is “bottom-up” or “top-down”, the collaborative cooperation between the government, research institutions, service providers, factory operators, machinery manufacturers, platform operators and other multiple subjects has become the mainstream trend.

With the importance of the construction of industrial network technical standards and the particularity of safety issues, countries around the world have gradually increased the weight of standards construction and safety issues, forming the “technology-standards-safety” trinity of industrial development focus. According to the statistics of the EU Internet of Things Innovation Alliance, there are currently more than 100 industrial networking technology standardization organizations in the world, of which Germany and the United States are in the leading position.