Development Background and Development Model of Industrial Internet Platform

1. Manufacturing Transformation and Digital Economic Growth Reach a Historic Milestone

Following the global financial crisis, a new wave of industrial transformation has emerged, bringing manufacturing back into the spotlight as a key driver of economic growth. Major developed nations have implemented strategic initiatives to modernize their manufacturing sectors. Germany, for example, has leveraged its strong automation foundation to push forward with Industry 4.0. Meanwhile, the United States is advancing the Industrial Internet while pursuing advanced manufacturing strategies. Countries such as France, Japan, South Korea, and Sweden have also introduced comprehensive plans to revitalize their manufacturing industries. The central goal of these new strategies is to upgrade traditional manufacturing, build new competitive advantages, and strengthen national economies through innovative production methods and development models. At the same time, the digital economy has swept across the globe, accelerating changes in traditional industries.

The rise of information and communication technologies, especially the internet, has significantly transformed people's lives, created new industrial systems, and continuously integrated with the real economy through technological and business model innovations. This has opened up tremendous opportunities for the transformation of traditional industries. As manufacturing and the digital economy converge, the integration and innovation of technologies like cloud computing, the Internet of Things, and big data have intensified, giving birth to the concept of the industrial Internet platform.

2. Intelligent Manufacturing Drives New Demand for Platform Tools

Currently, the manufacturing industry is transitioning from digitization to networking and further toward intelligent development. This transformation relies on the comprehensive collection and analysis of large-scale industrial data to enable intelligent decision-making and control. It leads to new manufacturing models such as smart production, networked collaboration, personalized customization, and extended services. In this context, traditional digital tools are no longer sufficient. First, the rapid growth of industrial data demands more advanced data management solutions. As industrial systems expand from physical environments into digital spaces, the scope of data collection continues to grow, and the volume and variety of data increase exponentially. A new generation of data management tools is needed to ensure efficient, reliable, and secure storage and processing of massive data.

Second, enterprises need new platforms to support intelligent decision-making. The richness of data allows manufacturers to implement more precise and refined management practices. However, the complexity of industrial environments and the diversity of industry knowledge make it difficult for traditional application models—often driven by a few large companies—to meet the varied needs of different businesses. Open platforms that provide access to industrial data, knowledge, and functions can lower the barriers to innovation, enabling a surge in intelligent applications. Third, the new manufacturing models require better tools for business interaction. To respond quickly to market shifts, companies are increasingly collaborating across design, production, and management. This necessitates improved tools to facilitate seamless integration between different entities and systems. Efficient data management, innovative application development, and deep business collaboration are the main drivers behind the rapid growth of the industrial Internet platform.

3. Information Technology Accelerates Penetration and Transforms Manufacturing Development

Emerging information technologies are reshaping the digital infrastructure of manufacturing. Cloud computing provides a more flexible, cost-effective, and reliable environment for data storage and software operations. The Internet of Things enables manufacturers to efficiently collect vast amounts of data from equipment, production lines, and facilities. Artificial intelligence enhances data insights and supports intelligent management and control, forming the foundation for digital transformation. The open internet concept is transforming traditional manufacturing models. By organizing production and operations through a networked platform, manufacturers can quickly integrate and utilize resources, respond to market demands at low cost, and promote new formats such as personalized customization and collaborative networks. The platform economy continues to drive business model innovation. The fusion of IT and manufacturing technology has accelerated the penetration of new economic models like the information economy, knowledge economy, and sharing economy into the industrial sector, creating new growth momentum. Internet-based technologies, ideas, and business models have become essential components in building an industrial Internet platform.

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