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Editor's Recommendation:

Getech has been selected as a key player in the 【IDC Industrial Data Intelligence Market】, following its recognition as a 【Typical Service Provider in the IDC Industrial AI Visual Inspection Software and Solutions Market】. This reaffirms Getech's leading position in the industrial intelligence market.

Beijing, October 13, 2021

As corporate digital transformation and industrial internet applications deepen, leveraging big data and AI technologies to extract and maximize data value—such as through energy conservation, predictive equipment maintenance, and process optimization—has become a key focus for many enterprises. IDC continues to monitor the application of AI and big data in industry, expanding its research on China's industrial intelligence market to analyze market space, development status, and trends.

Increasing Applications of Big Data and AI in Industry

In recent years, more industrial enterprises have begun using big data and AI to analyze and model industrial data, accumulating industrial knowledge and experience while optimizing applications in equipment management, production management, and energy management. With the dual-carbon goals in focus, data analysis has also become a priority technology for companies. IDC's recent report, "IDC China Manufacturing Enterprise Survey—Insights into Needs and Trends, 2021," shows that 17% of manufacturing enterprises prioritize data analysis as a key measure for sustainable development over the next two years.

 

IDC Divides the Industrial Intelligence Market into Industrial Visual Intelligence, Industrial Data Intelligence, and Industrial Interactive Intelligence

IDC categorizes the industrial intelligence market into three segments: industrial visual intelligence, data intelligence, and interactive intelligence, with industrial data intelligence being a significant part.

Organizing the Industrial Data Intelligence Market from an Application Perspective

As industrial big data and industrial AI technologies increasingly converge, IDC consolidates related fields into the industrial data intelligence market for research. IDC defines industrial data intelligence as leveraging big data and AI technologies to process and analyze industrial data, extract data value, accumulate industrial knowledge, and achieve business optimization and innovation. It is divided into two directions: industrial data intelligence platforms (applications) and industrial knowledge graphs. Applications in enterprise management, such as big data, BI software, and intelligent marketing, fall outside the scope of this research.

 

Numerous Participants in the Industrial Data Intelligence Market

Currently, various enterprises, including cloud service providers, big data and AI service providers, industrial vertical service providers, and industrial control manufacturers, have entered the industrial data intelligence market, leveraging their strengths for expansion. Many industrial software and industrial internet platform providers are also continuously entering the market.

Industrial Data Intelligence Business Primarily Delivers Integrated Solutions

From an industry chain perspective, industrial data intelligence involves algorithms, industrial mechanism models, data analysis and modeling platforms, production big data platforms, industrial knowledge graphs, and data intelligence applications. As the industry is still in its early stages, many companies cover multiple segments of the chain, primarily delivering integrated application solutions to customers. However, some companies focus more on platforms or applications.

Industrial Data Intelligence Applications Focus on Five Major Areas

From an application perspective, common industrial data intelligence applications can be categorized into five areas: intelligent equipment maintenance, production process optimization, intelligent planning and scheduling, intelligent safety and environmental monitoring, and intelligent production-sales coordination. Although some practical applications have been implemented, the industrial data intelligence market is still in its early stages. Factors such as weak enterprise data foundations, high requirements for integrating industrial knowledge and data algorithms, and unclear application effectiveness hinder faster industry development.