双减五周年：在线教育企业营收修复、转战AI，市值难回巅峰
英文摘要
Five years after China's 'double reduction' policy, major online education companies have rebounded in revenue and turned profitable, but market capitalizations remain far below pre-crisis peaks. New Oriental and NetEase Youdao surpassed pre-policy revenue, while Gaotu narrowed losses and TAL Education lags in revenue but achieved over $500 million net profit. The industry has diversified into quality education and vocational training, though quality education faces limited pricing power and vocational training is a highly competitive red ocean. AI-integrated education has become the strategic focus, with companies developing proprietary large models, AI tutoring tools, and smart learning devices; however, monetization through hardware sales and subscriptions remains challenging. The next phase of competition centers on building AI infrastructure and data moats.
中文摘要
双减政策出台五年后，头部在线教育公司营收企稳并转为盈利，但市值远未回到历史高位：新东方和有道营收超过双减前，高途亏损大幅收窄，好未来营收仍有差距但净利润超5亿美元。行业转向素质教育和职业教育两大方向，素质教育承接了K12流量但因非刚需存在天花板，职业教育则是竞争激烈的红海。AI+教育成为主线，各机构纷纷自研教育大模型、落地智能硬件和AI辅导，但硬件收入下滑、用户订阅付费意愿低，商业模式待验证。未来竞争将聚焦于AI基础设施积累和数据壁垒构建。
关键要点
Revenue recovery but market cap lags: New Oriental and NetEase Youdao revenue surpassed pre-policy levels; Gaotu narrowed losses; TAL Education’s revenue still below pre-policy but net profit exceeded US$500 million; all four companies’ market caps are far from peak.
营收修复、市值难回：新东方和有道营收超双减前，高途亏损收窄，好未来营收差距大但净利超5亿美元，四家公司市值均远低于高点。
Transformation divergence: Quality education absorbed K12 traffic but has a ceiling; vocational training is a red ocean; New Oriental and Gaotu focus on vocational, TAL on quality education, Yuanfudao/Zuoyebang shifted to AI hardware.
转型路径分化：素质教育承接K12流量但存在天花板，职业教育是红海；新东方和高途重点布局职教，好未来深耕素质教育，猿辅导/作业帮转向智能硬件。
AI+education becomes main theme: Companies are developing proprietary education large models and smart hardware, but hardware revenue declining and subscription willingness low; monetization models remain unproven.
AI+教育成主线：各机构自研教育大模型、落地智能硬件，但硬件收入下跌、用户订阅付费意愿有限，商业模式仍待验证。
Future competition will center on AI infrastructure and data moats; firms offering full-scenario AI solutions will build true competitive advantage.
未来竞争聚焦AI基建和数据壁垒，能提供全场景解决方案的企业将建立真正的护城河。