10月30日，云天励飞（688343.SH）披露2025年第三季度报告。数据显示，公司经营延续高景气态势， 1—9月实现营业收入9.51亿元，同比增长97%；扣非后净利润较去年同期减亏1.59亿元，亏损同比收窄 32%。经营性现金流净额达1.95亿元，继第二季度转正后继续改善，为公司技术迭代与业务拓展提供了 更充足的资金保障。 云天励飞表示，营收与现金流持续改善，反映出业务结构优化与商业化能力提升，也为未来战略投入创 造了安全边际。 从市场视角看，AI推理芯片正处于高速发展期。据灼识咨询报告，中国AI推理芯片相关产品及服务市 场正在快速增长：市场规模已从2020年的113亿元增长至2024年的1626亿元，复合年增长率高达 94.9%，预计到2029年将扩大至1.38万亿元。同期，NPU驱动市场规模将从2020年的5亿元增长至2024年 的260亿元，并在2029年达到3954亿元，复合年增长率达72.3%。市场规模快速扩张，为本土AI芯片厂 商带来广阔成长空间。 业内人士认为，相较于训练芯片，推理芯片市场仍处起步阶段，是典型的"蓝海市场"。随着大模型能力 加速从云端走向行业终端，推理将贯穿端、边、云，成为人 ...

最新机构调研中，云天励飞表示，公司长期专注于AI推理芯片的研发设计及商业化，是全球第一批提 出NPU驱动AI推理芯片概念并商业化落地的公司。公司已完成第四代NPU的研发，目前正在推进下一 代高性能NPU的研发，将更适合AI推理应用。 10月30日，云天励飞(688343)发布2025年三季报。报告显示，公司整体经营保持高景气增长态势，2025 年前三季度，云天励飞实现营业收入9.51亿元，同比增长97%；扣非净利润较去年同期进一步减亏1.59 亿元，亏损同比收窄32%，公司核心业务经营质量正在稳步提升；经营性现金流净额增长至1.95亿元， 继第二季度转正后，增长势头得以延续。稳定的经营性现金流不仅提升了公司估值的确定性，也为后续 持续推进技术创新、拓展市场份额提供了安全边际。 云天励飞致力于通过打造具备高性能、高性价比及高适配性的推理芯片，推动AI加速普及。基于"算法 芯片化"核心能力底座，构建了"算法分析—指令集定义—芯片架构设计—工具链开发"的AI推理芯片研 发流程，并形成了包括NPU产品Nova系列、AI推理芯片DeepEye系列和DeepEdge系列、及大模型 IFMind在内的AI推理相关产品及服务 ...

Core Viewpoint - The company reported a significant increase in revenue for the first half of 2025, driven by sales growth in both consumer and enterprise scenarios, despite continuing net losses [2][3]. Financial Performance - Revenue for the first half of 2025 reached 645,787,334.97 CNY, representing a year-on-year increase of 123.1% compared to 289,462,659.77 CNY in the same period last year [3]. - The net profit attributable to shareholders was -20,593.82 million CNY, an improvement of 10,380.84 million CNY from the previous year's loss [2][3]. - The net cash flow from operating activities was 39,532,687.45 CNY, a significant increase of 59,345.54 million CNY compared to the previous year [6]. Profitability Metrics - The basic earnings per share for the first half of 2025 was -0.58 CNY, an improvement from -0.87 CNY in the same period last year [5]. - The weighted average return on equity increased to -5.29%, up by 2 percentage points from -7.29% [5]. - Research and development expenses accounted for 31.36% of revenue, a decrease of 31.18 percentage points from the previous year, indicating that revenue growth outpaced R&D growth [5][6]. Business Segments - In enterprise scenarios, the company developed a series of products including neural network processor IP, AI inference chips, and edge computing boxes, which are widely used in various applications such as cameras, robots, and smart computing centers [7]. - In consumer scenarios, the company launched AI-native products like the AI learning machine and plush toys, leveraging AI model capabilities [7]. - In industry scenarios, the company provided integrated hardware and software solutions for system integrators and public service applications, focusing on urban governance and smart transportation [7].