Smart City Services and AI Computing Infrastructure Drive SenseTime's 21% Revenue Growth

Wednesday, 28 August 2024, 07:00

Smart city services have played a crucial role in SenseTime’s revenue increase of 21% this year, under CEO Xu Li’s leadership. The surge in generative AI services, especially AI data centers and large language models (LLMs), has significantly contributed to this growth. As the company shifts focus towards profitability amidst evolving market dynamics, its generative AI department emerges as a key growth driver.
South China Morning Post
Smart City Services and AI Computing Infrastructure Drive SenseTime's 21% Revenue Growth

Overview of SenseTime's Financial Performance

In the first half of the year, SenseTime reported a remarkable revenue growth of 21.4% year-on-year, totaling 1.74 billion yuan (US$244.3 million). This growth is primarily attributed to the rapid expansion of its generative AI (GenAI) business, particularly in AI computing infrastructure services and large language models (LLMs).

Impact of Generative AI on Growth

Revenue from the GenAI business soared by 256% compared to the previous year, reaching 1.05 billion yuan, which constitutes 60% of the company’s overall revenue. This shift indicates that GenAI is becoming the dominant business of SenseTime, significantly aided by demand for LLMs and infrastructure services in the Chinese market. CEO Xu Li has indicated plans for profitability within the next two years.

Challenges faced by SenseTime

Despite the growth, traditional AI segments, particularly smart city services, saw a decline of 50.6% year-on-year. The company, however, managed to narrow its losses to 2.4 billion yuan, compared to 6.49 billion yuan for the entire year.

Market Position and Future Outlook

According to research firm IDC, SenseTime is the second-largest provider of LLMs in mainland China, holding a 16% market share, ranking right behind Baidu. The rapidly evolving AI landscape may prompt significant changes in the market.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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