52 EdTech Funding Rounds in H1 2026: AI Tools and Hardware Lead [Analysis]

https://www.36kr.com/p/3884251152412929

Just finished reading a roundup on the education capital market for H1 2026. There’s a lot of data, so let’s pick out a few key points.

52 funding rounds, 7 companies rushing for IPOs—that’s the report card EdTech delivered for the first half. Looking at sector distribution, AI learning tools topped the list with 13 funding rounds, accounting for about a quarter. But what’s noteworthy isn’t just the volume—niche products like AI Tutors, AI grading, and AI detection are starting to cover the entire learning process. AI is no longer just a Q&A tool; it’s entering a closed loop of explaining problems, grading, and feedback. This means scenario penetration is accelerating, but since most deals are Seed and Angel rounds, product forms are still early-stage.

Capital flow is even more worth watching. The AI hardware and robotics sector absorbed hundreds-of-millions-level funds across 9 funding rounds, such as D-Robotics’ $150 million and Future Not Far’s several hundred million yuan. Capital is redefining educational hardware from “content terminals” to “learning interaction entry points”—low-distraction environments, process data accumulation, and real-time feedback create stronger moats in home scenarios than simple knowledge provision.

The round structure also reflects market divergence. Domestic funding is over 70% concentrated in Angel to Series A, characterized by wide coverage, small scale, and validation focus; whereas overseas markets show polarization: there are Pre-seed AI innovations, but also Series B+ platform-type projects like Anthropic and Grammarly. Domestic players focus more on scenario implementation and payment loops, while overseas players prioritize underlying AI capabilities and scalability space.

Regionally, China leads in quantity with 34 projects, but the US contributes most of the funding rounds exceeding $100 million with just 7 projects. The industrial positioning of the three major markets is clear: China does application innovation, the US does underlying capabilities, and India focuses on exam and employment integration. Regarding IPOs, the tech attributes of the 7 companies rushing to list have strengthened significantly, and capital exit paths are shifting from solely going public in the US to diversified choices.

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Overall, the logic of education investment in H1 is shifting from “Content + Service” to “AI + Hardware + Scenario”. There are many application-layer projects but scattered funding; terminal entry points and foundation models are the true money magnets. The primary market is still in the early validation stage, but capital’s judgment on the future of EdTech is no longer limited to single products—it’s now a comprehensive assessment of terminal entry points, underlying capabilities, and scenario closed loops.