Development Status and Trends of China's AI Industrial Quality Inspection Industry in 2024
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AI industrial quality inspection, as an application based on AI visual algorithms and related hardware solutions, is gradually becoming an important development direction in the field of industrial quality inspection. It enables fine-grained quality inspection of industrial product surfaces, automatically identifying and classifying product defects, thereby improving production efficiency and product quality.
The core technology of AI industrial quality inspection is AI visual algorithms, which can perform detailed analysis and processing of product surfaces through deep learning and image processing techniques. Combined with related hardware solutions such as high-resolution cameras and image capture cards, AI industrial quality inspection systems can achieve fast and accurate detection of surface defects on products.
Typical application scenarios include defect detection for 3C components, automotive parts, and steel surface defects. In these scenarios, AI industrial quality inspection significantly enhances detection efficiency and accuracy, reduces manual inspection costs, and provides enterprises with more comprehensive and reliable quality control services.
With the further development of AI technology, the application scenarios of AI industrial quality inspection will become even broader. It can be applied to surface defect detection in more industries, such as food packaging, textiles, and pharmaceuticals. Meanwhile, as hardware devices continue to upgrade and algorithms optimize, the accuracy and reliability of AI industrial quality inspection will further improve, bringing more convenience and benefits to industrial production.
In the industrial chain of AI industrial quality inspection, the upstream segment is a critical link, involving software and hardware related to machine vision. These components include machine vision algorithm libraries, optical devices, and image sensors, all of which are key elements for realizing AI industrial quality inspection applications. These technologies and equipment provide foundational support and functional implementation for AI industrial quality inspection. The downstream application areas are even more extensive, involving multiple industries such as communication and electronic manufacturing, automotive and parts, and consumer goods manufacturing. These industries leverage AI industrial quality inspection technology to improve product quality, production efficiency, and reduce costs. By automatically identifying and classifying product defects, AI industrial quality inspection provides these industries with essential quality control tools.
According to statistics, in 2021, China's AI industrial quality inspection was primarily applied in four industries: communication and electronic manufacturing, automotive and parts, consumer goods, and raw materials. These four industries collectively accounted for 91.5% of the market space, contributing to the main large-scale application scenarios of AI quality inspection. However, it is worth noting that the equipment manufacturing industry holds a relatively small share in the AI industrial quality inspection market, at only 5.70%.
With the continuous development of AI technology and the expansion of application scenarios, the market share of AI industrial quality inspection is expected to continue growing. More industries will begin adopting AI industrial quality inspection technology to enhance production efficiency and product quality. At the same time, as technology advances and application experience accumulates, the accuracy and reliability of AI industrial quality inspection will further improve, bringing more value and innovation to industrial production.
Current Development of AI Industrial Quality Inspection Market
In recent years, China's AI industrial quality inspection industry has undergone rapid development from pilot applications to large-scale replication and promotion, with the industry size continuously expanding. In 2021, the market size of AI industrial quality inspection in China reached $352 million, a year-on-year increase of 48.52%. This growth indicates that AI industrial quality inspection is becoming increasingly widespread in China and holds significant market potential. In the composition of the market size, software and services occupy a significant proportion, reaching 59.9%. This indicates that in the field of AI industrial quality inspection, the importance of software and services is becoming increasingly prominent, serving as a key driver for industry development. In contrast, the proportion of hardware is slightly lower at 40.1%. Although hardware remains crucial in AI industrial quality inspection, the growth rate of software and services is faster, and they are expected to continue capturing a larger market share in the future.
Additionally, in 2022, the market size of China's industrial AI quality inspection solutions (excluding hardware) reached $270 million, representing a year-on-year growth of 27.4%. This growth further demonstrates the vitality and upward trend of the AI industrial quality inspection market. With continuous technological advancements and the expansion of application scenarios, the Chinese AI industrial quality inspection market is expected to maintain rapid growth in the coming years.
Analysis of the Competitive Landscape in the AI Industrial Quality Inspection Industry
The competitive landscape of China's AI industrial quality inspection industry is becoming increasingly intense, but the current market concentration remains relatively low, with the CR5 (top five companies) not yet exceeding 50%.
In 2022, Baidu Intelligent Cloud, Innovation奇智, and Tencent Cloud ranked as the top three players in the industry, with market shares of 10.60%, 10.40%, and 10.20%, respectively, showing minimal gaps between them.
Key enterprises in China's AI industrial quality inspection industry include Baidu Intelligent Cloud, Innovation奇智, and Tencent Cloud. These companies hold significant advantages in branding, technology, and distribution channels, resulting in higher market shares. Additionally, some regional brands exhibit strong competitiveness in specific areas. Development Trends of AI Industrial Quality Inspection Industry
With the increasing demand for industrial quality inspection, the market size of the AI industrial quality inspection industry is expected to continue expanding. More industries and enterprises will recognize the importance and value of AI industrial quality inspection, applying it to production processes to improve product quality and production efficiency.
Continuous innovation and development in AI industrial quality inspection technology will drive industry progress. Advancements in algorithm optimization, deep learning, and computer vision will further enhance the accuracy and reliability of AI industrial quality inspection, improving its application effectiveness.
The application scenarios will continue to expand. AI industrial quality inspection will be applied to more industries and fields. Beyond traditional manufacturing, it will also be utilized in sectors such as energy, healthcare, and logistics, providing robust support for quality control across various industries.
Intelligence and automation are becoming trends. With the continuous development of intelligent and automation technologies, AI industrial quality inspection will become more intelligent and automated. The use of automated inspection equipment and intelligent quality inspection systems will further increase production efficiency and inspection accuracy while reducing manual intervention and costs.
Industry standards and regulations will gradually improve. With the rapid development of the AI industrial quality inspection industry, standards and regulations will be progressively refined. The push for standardization and normalization will help enhance the reliability and repeatability of AI industrial quality inspection technologies, promoting the healthy growth of the industry.