The market for industrial AI quality inspection solutions (excluding hardware) reached US$270 million in 2022, with a growth rate of 27.4%. The overall market is expected to reach $1,335 billion by 2026.
The Zhitong Finance App learned that before the rise of the big model, AI had already formed large-scale applications in many segments of digital production management. Specifically, it can be divided into AI quality inspection and AI safety monitoring with visual intelligence as the core, as well as intelligent equipment operation and maintenance, production process optimization, intelligent planning and scheduling, intelligent safety monitoring and environmental control, and intelligent production and marketing collaboration with data intelligence as the core. AI quality inspection has been applied on a large scale in industries such as 3C electronics, automobiles, light industry and consumer goods, and is also continuing to expand new scenarios in equipment manufacturing, non-ferrous metals, packaging and printing, food and beverage industries. The market for industrial AI quality inspection solutions (excluding hardware) reached US$270 million in 2022, with a growth rate of 27.4%. The overall market is expected to reach $1,335 billion by 2026.
Data intelligence is applied in various scenarios through data analysis and modeling based on AI big data and mechanism integration. Some scenarios have begun to be applied on a large scale. It is estimated that the industrial data intelligence market will reach 10.66 billion yuan by 2027.
AI+ industrial automation is on the rise
As industrial digitalization moves from the cloud to the edge, the integration of IT and OT deepens, and AI further moves to the edge, beginning to integrate and explore with the field of industrial control automation.
Currently, it has formed some potential scenarios and solutions in various fields. There is room for further exploration and large-scale application in the future, and it is expected to release a billion dollar market space in the future. In addition to industry, AI+ industrial control automation also has many potential application scenarios in many pan-industrial fields such as construction, transportation and logistics.
The big industrial model is in full bloom
After the rise of ChatGPT, the big model rapidly expanded to various industries. Currently, hundreds of service providers and industrial enterprises in the industrial field have explored the application of the big industrial model, forming a large number of fragmented scenario applications in various fields such as R&D, production, sales, and service. Among them, it mainly includes three directions: improving digital production management solutions through big model technology upgrades; various knowledge questions and answers and intelligent questioning applications based on big model technology; and various industrial software Copilot. These applications will nurture many potential market spaces in the future.
