According to the recently released Gartner® report Market Share: Enterprise Software, Worldwide, 2025, Yonyou ranked sixth by revenue share in China’s AI Platforms and Models market in 2025. For Yonyou, this achievement not only validates its deep commitment to AI technologies and enterprise-wide digital-intelligent scenario implementation, but also signals that China’s enterprise application market is accelerating toward a new phase characterized by deep AI integration and high-quality development.

近日，Gartner®发布《Market Share: Enterprise Software, Worldwide, 2025》报告，2025年用友在中国地区AI平台与模型（AI Platforms and Models）市场按营收占有率位居第六位。对用友而言，这一成绩的背后，既是用友深耕 AI 技术、深度落地企业级数智化场景的实力印证，更标志着中国企业应用市场正加速迈向智能化深度融合、高质量跃升发展的全新阶段。

Against the backdrop of a deepening “AI+” strategy that continues to empower various industries, the 2026 Government Work Report of the State Council has called for fostering new forms of smart economy, further expanding “AI+”, accelerating the adoption of next-generation intelligent terminals and agents, promoting large-scale commercial application of AI in key sectors, and nurturing new intelligent-native business models and forms. Continued policy support has pressed the “accelerator pedal” for AI adoption within enterprises.

当前，“人工智能+”持续深化，加速赋能各行各业发展。2026年国务院政府工作报告提出，打造智能经济新形态。深化拓展“人工智能+”，促进新一代智能终端和智能体加快推广，推动重点行业领域人工智能商业化规模化应用，培育智能原生新业态新模式。政策的持续加码为AI在企业的落地按下了“加速键”。

The core competitiveness of enterprise AI lies in whether it possesses business-aligned intrinsic logic and autonomous reasoning capabilities. In February 2026, Yonyou released YonLOM (Yonyou Large Ontology Model), enabling AI to deeply understand enterprise operations, perform complex logical reasoning, and achieve precise and proactive action.

企业AI的核心竞争力，在于是否具备贴合企业业务的内生逻辑与自主推理能力。2026年2月，用友发布LOM本体大模型，让AI能够深度理解企业业务并进行复杂逻辑推演，实现精准能动。

As the logical core for enterprise-intrinsic intelligence, YonLOM transforms various operational elements into dynamically inferable knowledge graphs, establishing deep connections with enterprise business systems and data. This upgrade elevates enterprise knowledge from static storage to dynamic, interactive intelligent assets. Equipped with 19 professional task sets and graph reasoning capabilities—including breadth-first search, depth-first search, topological sorting, shortest path planning, and edge weight analysis—the model enables precise deduction of business logic and intelligent judgment of complex decisions, transforming enterprise knowledge from traditional flat information into three-dimensional, interactive, and inferable intelligent assets.

YonLOM本体大模型作为企业智能内生的逻辑化核心，将企业运营的各类要素转化为动态可推理的知识图谱，打通与企业业务系统及数据的深度连接，让企业知识从静态存储升级为动态可交互的智能资产。该模型搭载19个专业任务集，具备广度优先搜索、深度优先搜索、拓扑排序、最短路径规划、边权重分析等图推理能力，能够实现企业业务逻辑的精准推演与复杂决策的智能判断，让企业知识从传统的平面信息升级为立体可交互、可推理的智能资产。

Built on full-scale enterprise data and YonLOM, YonBIP Enterprise AI establishes a tiered intelligent decision-making capability system ranging from descriptive analytics to diagnostic and predictive analytics, decision support, constrained autonomy, and full autonomy. Currently, most enterprises remain at L2 (diagnostic and predictive) and L3 (decision support), relying on processes and data for assisted decision-making. Through ontology modeling, YonBIP Enterprise AI helps enterprises evolve toward L4 (constrained autonomy) and L5 (full autonomy), building digital resilience characterized by “fast trial-and-error in uncertainty and precise decision-making in complex scenarios,” ultimately achieving fully autonomous decision-making.

用友BIP企业AI基于全量企业数据与YonLOM本体大模型，构建起描述性分析 – 诊断与预测 – 辅助决策 – 限制性自主 – 完全自主的阶梯式智能决策能力体系。当前，多数企业仍处于L2（诊断与预测）、L3（辅助决策）阶段，依赖流程与数据进行辅助决策，用友BIP企业AI通过本体（Ontology）建模，推动企业向L4（限制性自主）、L5（完全自主）进化，构建“在不确定性中快速试错、在复杂场景中精准决策”的数字韧性，最终达到“完全自主”决策。