China's Large Model Platform Market in 2023 and Future Outlook

TapTechNews August 21st news, International Data Corporation (IDC) released for the first time today 'China's Large Model Platform Market Share, 2023: The First Year of Large Models - The Initial Situation'. The data shows that the market size of China's large model platform and related applications in 2023 reached 1.765 billion yuan.

The report said that in the past year, the industry has made more early investments in large models, and even waited and watched without heavy investment, so the overall market size in 2023 is not significant; and the market pattern is still mainly composed of early investors such as Baidu, SenseTime, Zhipu, Baichuan and other companies. Entering 2024, the leading Internet companies increase their investment in large models and launch a price war, bringing certain competitive pressure to the early large model start-ups. It is expected that the market pattern will undergo multiple rounds of major changes in the next 2-3 years.

TapTechNews attaches the market share of China's large model platform and application market in 2023 in the report as follows:

1. Benefiting from years of vigorous investment in the AI field and early investment in large models, Baidu Intelligent Cloud reached 350 million yuan in the large model market in 2023, ranking first in the market with a market share of 19.9%;

2. SenseTime Technology also benefits from its focused investment in large models and the Shanghai AIDC it builds can provide customers with an integrated large model computing and application solution, ranking second in the market with a market share of 16.0%;

3. Zhipu AI is the winner among the start-ups in 2023 and ranks third;

4. Followed by Baichuan Intelligence, Fourth Paradigm, etc.

Looking to the future, the report said that although large models and generative AI are the biggest focus in today's technology market, the actual capabilities achieved by large models are still relatively low, and the capabilities of large models of different technology providers also have certain differences. Failure to continuously invest in the base large model can easily lead to enterprises falling behind and being eliminated in the next round of model capability competition.

The report also mentioned that the innovation of the large language basic model has approached the convergence stage, while the multimodal large model and video large model have more extensive application scenarios but the technology is not yet mature, and the market needs such products. In addition, not all data types are text or image visual types. In the field of scientific computing, the data types are special, and the current large models may not be applicable and still require a brand new base large model.