Xunce (3317.HK) Profit Forecast: Revenue Surges past 1.28 billion + a rare track, becoming a core target for AI deployment

On the evening of March 6th, Shenzhen Xunce Technology Co., Ltd. (Stock code: 3317.HK) disclosed its profit forecast for 2025. Core performance exceeded expectations across the board: the company’s annual revenue surpassed 1.283 billion yuan, representing a explosive 102.95% year-over-year increase from 632 million yuan in 2024, and a 448% quarter-over-quarter surge compared to the first half of 2025. Net loss after non-recurring gains and losses was significantly narrowed, with revenue in the second half of the year growing notably compared to the first half. Both revenue improvement and loss reduction exceeded market expectations, demonstrating the strong growth momentum of this leading AI data infrastructure enterprise. Known as the “Chinese version of Palantir,” Xunce is positioning itself as the “AI Data First Bull Stock” in the second half of the large model competition, accelerating the realization of its core value proposition and becoming one of the most explosive investment targets in the deep AI industry.

** Revenue Stabilized at 1.283 Billion Yuan, Both Profitability and Scale Improved**

From the perspective of core performance, Xunce achieved a dual breakthrough in scale expansion and profit quality in 2025, with a significant reduction in operating losses as a key highlight, indicating continuous optimization of operational quality and steady improvement in profitability. On the revenue side, based on the 632 million yuan in 2024, the company’s full-year revenue in 2025 increased to approximately 1.283 billion yuan, doubling year-over-year. This growth rate far outpaced the industry average for real-time data infrastructure in China, visually demonstrating the company’s strong expansion capability and market competitiveness.

On the profitability front, the company showed particularly impressive results. After excluding one-time non-recurring gains and losses, adjusted net losses significantly improved compared to 2024, surpassing market expectations. The trend of enhanced profitability is clear, reflecting the effectiveness of refined operations and increasing commercialization. The growth momentum is particularly strong in the second half, with the company’s 2025 semi-annual report showing revenue of 198 million yuan in the first half. Based on the full-year estimate, the second half’s revenue surged 448% quarter-over-quarter, confirming the accelerated deployment of AI infrastructure solutions across various industries and the concentrated release of market demand, providing solid support for doubling the annual revenue.

** Four Major Engines Resonating, Driving Leapfrog Growth**

Industry analysts point out that Xunce’s explosive performance in 2025 is not accidental but a natural result of the deep resonance between AI industry dividends and the company’s core competitiveness. Four core engines have been continuously exerting force, jointly driving the company’s leapfrog growth. In 2025, large AI models will enter a critical stage of large-scale deployment, becoming the main driver of exponential growth in data demand. According to data from the National Data Bureau, China’s daily token consumption in AI applications surged from 100 billion at the beginning of 2024 to over 30 trillion by the end of June 2025—an increase of 300 times in a year and a half. This enormous data processing market gap has opened up vast development space for real-time data infrastructure companies.

As an industry leader, Xunce builds a comprehensive technical system centered on the AI Data Agent, covering data acquisition, cleaning, standardization, real-time computing, and large model tuning. Its millisecond-level real-time data processing capability precisely matches the high-frequency, high-quality data needs during large model training and inference, serving as a core technological support for revenue doubling. Meanwhile, leveraging its deep barriers in asset management, the company has accelerated diversification into other industries in recent years, successfully breaking reliance on a single sector. Its business has expanded into financial services (excluding asset management), urban management, production management, and telecommunications, and it has provided services to major domestic state-owned telecom subsidiaries. From 2022 to 2024, revenue contribution from diversified industries increased from 26% to 61%, becoming a key engine for revenue growth and loss reduction, continuously injecting strong momentum into performance.

Beyond diversification, the company actively explores high-growth sectors such as robotics data platforms and commercial aviation. The explosive growth in these emerging fields has become new growth poles for the company’s performance. Additionally, the implementation of the “Data Asset Inclusion” policy further accelerates industry development, encouraging enterprises to increase investment in data infrastructure.

Furthermore, corporate willingness to pay has significantly increased. Xunce’s paying user base and ARPU (Average Revenue Per User) have grown for several consecutive years, solidifying the market foundation for sustained performance growth. In 2025, ARPU reached 5.56 million yuan, more than doubling from 2.72 million yuan in 2024, marking a major business breakthrough.

Efficiency Disrupts Industry, Growth Certainty Becomes Evident

Beyond impressive performance data, Xunce’s core advantages in operational efficiency and growth potential are more apparent. Multiple operational indicators break through the constraints of traditional software industries, highlighting the high added value of the AI data infrastructure track. In terms of per capita revenue, in 2025, with revenue of 1.283 billion yuan and the current team size, the company’s per capita revenue reached 2.9 million yuan—doubling the typical 1.5 million yuan per person seen in traditional software companies. This achievement is attributed to the modular product architecture, which allows flexible combination of modules to balance scale effects and customized services, greatly improving operational efficiency and service capacity.

Notably, in terms of customer unit price and per capita output, the company has maintained steady growth for five consecutive years. This data not only reflects high customer recognition of the company’s solutions but also demonstrates ongoing deep value extraction and monetization capabilities. As the company penetrates more industry scenarios, customer lifetime value continues to rise, providing stable support for ongoing revenue growth.

From a long-term growth perspective, since 2020, the company’s revenue has maintained rapid growth. Between 2020 and 2024, the scale of China’s real-time data infrastructure and analytics market grew at a compound annual rate of 46.1%. With its leading technological strength and market share, Xunce’s revenue growth has consistently outpaced the industry average. As revenue surpasses 1.283 billion yuan and operational efficiency continues to improve, the trend of narrowing losses will further solidify, highlighting long-term growth certainty.

Chinese Palantir, Seizing the Core Track of the AI Second Half

As the AI industry enters a deep-water phase, Xunce’s strategic value becomes increasingly prominent. Known as the “Chinese Palantir,” the company is not only an absolute scarce target in the AI data field but also a key participant in the second half of large model competition. Having cultivated the real-time data infrastructure industry for a decade, Xunce has built irreplaceable technological and industry barriers. In 2024, it ranked fourth in China’s real-time data infrastructure and analytics market, with an 11.6% market share in asset management, maintaining the top position and forming a strong competitive advantage.

As competition in large AI models becomes increasingly homogenized, industry consensus has formed: in the second half of large model competition, the core battle is no longer about the models themselves but about the strength of AI data infrastructure. Data, as the core production factor of AI large models, directly influences model performance and application effectiveness through its quality, timeliness, and processing efficiency. Xunce’s millisecond-level real-time data processing and full-chain data technology system precisely address this industry pain point, becoming a critical infrastructure in the AI ecosystem and an absolute scarce target in the Hong Kong stock market’s AI data sector.

Conclusion

Standing at the dual crossroads of AI industry iteration and data element market reform, Xunce (3317.HK)’s profit forecast for 2025 not only reflects its operational resilience and growth potential—its revenue surpassing 1.283 billion yuan marks a significant milestone beyond the 1 billion threshold—but also reveals the vast growth space in the real-time data infrastructure track.

As large AI models are deployed at scale and token call volumes explode, the entire AI data infrastructure industry’s business model is undergoing a key iteration, shifting from traditional subscription and project-based models to new models based on token calls, training counts, performance-based payments, and revenue sharing. This further expands the commercialization and monetization space, creating broader growth opportunities for leading companies in the sector.

With continuous improvement in profitability quality, deep technological barriers, extensive industry penetration, and innovative business models, Xunce has established a formidable competitive advantage in the AI data track, becoming a core carrier of industry dividends. According to the 2026 government work report, China has elevated artificial intelligence to a national strategic level, explicitly promoting AI R&D and applications to lead the global open-source ecosystem with domestic large models. It also emphasizes the deployment of “AI +”, accelerating intelligent agent promotion and key industry commercialization. This indicates that 2026 will be a critical year for AI to realize value through applications.

Against this backdrop, Xunce’s value proposition is extending from performance realization to long-term growth. Its scarcity and growth potential will continue to attract capital market attention, making it a key anchor for institutional investment in the AI sector. Its long-term investment value warrants higher market expectations and sustained focus.