According to the Zhitong Financial APP, the IDC report shows that the size of china's artificial intelligence software market reached 37.74 billion yuan in 2023, an increase of 26.2% compared to 2022. On one hand, the market is indeed affected by the development of the epidemic; on the other hand, the industrial landing of artificial intelligence has reached a phase of bottleneck. From the perspective of growth rate, the speech and semantics market maintains significant positive growth, while the computer vision market and the machine learning development platform market are influenced by the performance of leading manufacturers, showing relatively small growth.

Computer Vision Market

The size of the computer vision market reached 10.11 billion yuan in 2023. Among them, SenseTime has been at the top for nearly 8 years; followed by Hangzhou Hikvision, Innoviz, Hikvision Eye Technology, and China Telecom's artificial intelligence. In the development process of the previous generation of AI, the application of computer vision has been widely deployed. In the current era still dominated by large language models, the potential of computer vision is still waiting to be explored.

AI Speech and Semantics Market

In the 2023 speech and semantics market, Baidu Intelligent Cloud is in the top position for the first time, followed closely by iFlytek (002230.SZ) and Alibaba Cloud. The revenue gap between the top 3 manufacturers in the market is relatively small. Apart from the top manufacturers tracked in this report, there are many companies working in the segmented areas of the market, such as Huawei Cloud, JD Technology, Zhiyi Technology's intelligent customer service; Puhua Information, Shengtong Technology, Yuzhisheng, Sibichi's intelligent voice, and so on.

Machine Learning Platform Market

The size of the machine learning development platform market reached 3.51 billion yuan in 2023. Fourth Paradigm (06682) and Huawei Cloud share the top market share; followed by Jiu Zhang Yungji, Innoviz; Xinghuan Technology has also made significant investments in the machine learning and AI markets. Under the trend of large models, the participants in this market have also begun to actively provide products related to large model training and tuning in order to better support the application of generative AI.

IDC Research Observation

Multiple development strategies for AI profitability: Stick to being an AI capabilities platform and develop channels and ecosystems to generate revenue; Focus on key solutions and leverage advantages to achieve scalable revenue growth; Diversify product forms, such as hardware, devices, and AIoT, to develop advantageous AI hardware products. In the 2C field, cultivate high-potential AIGC applications, including AI search, emotional companionship, AI assistants, Wenshengtu, and Wensheng video applications.

Manufacturers should continue to emphasize the establishment of extensive and in-depth ecological cooperation: Whether industrializing AI capabilities over the past few years or integrating the latest large-scale model capabilities and generative AI capabilities into enterprise scenarios, both require mature, stable, and secure AI products, as well as industry-specific solutions that address pain points. Platform-based manufacturers, AI service providers, and industry solution providers are all important participants in the industry's ecosystem. Building a rich and adhesive ecosystem helps manufacturers expand their business scale.

Lu Yanxia, Research Director of IDC China, stated that today's large-scale models and generative AI market are primarily driven by large language models, and the market potential driven by multimodal large-scale models and scientific computing large-scale models will be even more imaginative. On the product side, generative AI is very different from traditional AI in terms of the development process and application paradigm. When exploring new application scenarios, industry participants should always pay attention to the latest developments in products and technology.