Digital China’s revenue exceeds 140 billion yuan in 2025, with AI-related business growth approaching 50% | Frontline

Ask AI · How does Digital China AI business reshape core enterprise processes?

Author | Huang Nan

Editor | Yuan Silai

Digital China (000034.SZ) has recently released its full-year 2025 performance report.

According to the financial report, the company recorded full-year operating revenue of 143.8 billion yuan, up 12% year over year. Its revenue scale has continued to rise steadily for three consecutive years. Among them, AI-related businesses have become the core engine of growth: full-year revenue reached 33 billion yuan, up 48% year over year. The company has officially entered a scaled deployment stage, becoming a growth pole on par with traditional distribution businesses.

Specifically across business segments, high-value strategic businesses showed explosive growth. Revenue from AI software and services centered on Shenzhou Question Learning reached 110 million yuan, up 165.4% year over year. Its enterprise-level Agent platform has entered the stage of commercialization. Revenue from cloud services and software totaled 3.56 billion yuan, up 22%. Revenue from the company’s own-brand Shenzhou Kuntai computing power products grew 62.4% year over year to 7.44 billion yuan, becoming a core growth driver of AI infrastructure. Revenue from the AI ecosystem business was 21.92 billion yuan, up 48%.

In addition, within IT distribution and value-added services, the electronic components distribution business performed strongly. Revenue was 28.2 billion yuan, up 40% year over year. Benefiting from the surge in demand for AI chips and the dividends of domestic substitution, it provides steady cash flow support for strategic transformation.

On the customer and order front, the number of customers who signed strategic businesses increased 167% year over year. The number of million-level customers grew 125%. Contract value in the internet industry exceeded 60 billion yuan, surging 915% year over year. Benchmark customers cover multiple sectors including healthcare, automotive, high-end manufacturing, and telecom operators. AI solutions have been highly recognized by the market.

Behind the growth is the company’s precise positioning of the AI for Process trend. At present, most enterprises’ AI applications still remain at shallow layers such as interface calls and Q&A assistants, and have not truly been integrated into core business processes. Shenzhou Digital uses process reengineering as the entry point, building a three-layer architecture consisting of a computing power foundation, a model foundation, and an Agent operation foundation. This forms systematic capabilities that cover technology, scenarios, and processes, providing end-to-end support for enterprises to deploy AI.

Among them, the enterprise-level Agent platform of Shenzhou Question Learning integrates knowledge workflows, covering the full chain including computing power scheduling and data operations, as well as scenario-based services. In the healthcare field, it partnered with Peking Union Medical College Hospital to build a perioperative pancreatic cancer auxiliary diagnosis and treatment system, achieving diagnostic accuracy of over 94% and saving doctors 80% of their time spent on document and data processing. In the high-end manufacturing sector, through multimodal AI visual intelligent agents, it enables autonomous optimization of production lines, promoting the closed-loop deployment of “real-time sensing – intelligent decision-making – automatic execution.” In industries such as automotive and biopharmaceuticals, scenario-based intelligent agents reconstruct core business processes, driving efficiency improvements.

At the level of computing power infrastructure, Shenzhou Kuntai relies on the Kunpeng + Ascend technology route. It has launched new products such as the KunTai A989 I3 super-node server and integrated training-and-inference servers. These enable efficient operation of trillion-parameter large models with “single-card Ascend NPU + Kunpeng CPU,” lowering the threshold for private deployment. By acquiring the mainland business of Zhibang Technology, it has complemented the end-to-end capabilities across AI infrastructure R&D, manufacturing, and the supply chain.

Shenzhou Digital’s Chief Executive Officer Li Ying stated at the earnings briefing that, toward 2026, the company will focus on four major AI strategic directions: using Shenzhou Question Learning to connect the “scenario-model-data” value closed loop; building an AI-Ready enterprise data governance system; creating an AI Factory full-stack computing power product system; and deepening open cooperation across the AI ecosystem to support the deployment of AI for Process.

Against the backdrop of increasingly fierce industry competition and enterprise digital transformation entering deeper waters, Shenzhou Digital, with its full-stack AI capabilities and industry deployment experience, has completed its transformation from an IT distribution giant into a service provider for AI process reengineering. The financial performance and case validation also indicate that its AI-driven cloud-data integration strategy has entered a phase of value realization.

Behind this performance, it also reflects a change in industry logic: the value assessment of technology companies is shifting from revenue scale to AI deployment capability, the value of process reengineering, and long-term ecosystem moats.