According to a report from International Data Corporation (IDC), China's computer vision application market reached RMB 123.4 billion in 2024, achieving a growth rate of 21.2% compared to 2023. The top five market share vendors include SENSETIME-W (00020), Hikvision (002415.SZ), AInnovation (02121), Dahua Technology, and China Telecom AI Company. Among these, China Telecom AI Company recorded the highest year-over-year growth rate in 2024, followed by Hikvision. The overall market applications include intelligent security, urban emergency response, OCR and other applications, as well as visual applications upgraded based on large language models.
2024 China Artificial Intelligence Speech and Semantic Market Landscape
China's artificial intelligence speech and semantic market reached RMB 149.3 billion in 2024, representing a 30.4% growth compared to 2023. Benefiting from continuous breakthroughs in foundational large language models, the AI speech and semantic market also achieved significant growth. The top four market share vendors include iFlytek, Baidu Intelligent Cloud, Alibaba Cloud, and Tencent Cloud.
2024 China Artificial Intelligence Machine Learning Platform Market Landscape
China's machine learning platform market reached RMB 34.5 billion in 2024, growing 22.7% compared to 2023. Industry enterprises, on one hand, introduce machine learning platform products when building enterprise-level AI platforms, while on the other hand, they also distribute investments to the large model platform sector. The top five market share vendors include 4Paradigm, Huawei Cloud, AInnovation, Jizhi Cloud, and Transwarp.
IDC Recommendations for Technology Providers
Enterprises must build core competitive advantages in the Agent era. In an era where everyone is enthusiastic about large models and fully committed to intelligent agents, every technology company can develop software for various business domains based on Agents and provide related services.
Emphasize AI governance. As AI systems play increasingly important roles in high-risk decision-making, governance becomes crucial driven by regulatory pressure, AI failures, and complex deployments. Buyers and suppliers prioritize transparency, accountability, and ethical AI usage to comply with regulations and reduce risks such as algorithmic bias and data breaches.
Shift toward AI-driven business value. Enterprises are transitioning from AI experimentation to strategically prioritizing AI projects that deliver measurable business value, focusing on productivity, operational efficiency, and customer experience improvements. Buyers now require solutions with clear ROI, faster time-to-market, and support for enterprise-wide transformation, which is also one of the problems that large model platforms need to solve for users.
Lu Yanxia, Research Director of AI at IDC China, stated that from the growth achieved in the artificial intelligence software market in 2024, AI applications previously relied mainly on small and medium model empowerment, but since 2024, there has been a comprehensive shift toward generative AI applications based on large models. With the continuous penetration of large models, new architectures, new application deployment forms, and new models have the potential to comprehensively transform the technology market ecosystem.