From Q&A Tools to Intelligent Partners: A Full Scan of China’s AI Agent Nine‑Track Landscape

Introduction: Signals from the TOP50 List

On August 17 the AI Agent TOP50 ranking was published. Unlike previous years that focused on model size or conversational ability, this list adds a dedicated "Agent Development Platform" track, separating developer‑ and enterprise‑focused tools. The industry now acknowledges that platform‑enabled empowerment, rather than a single consumer product, is the core path to scaling.

The distribution of seats shows 16 spots for the general track, 15 for vertical industry, 6 for development platforms, 5 for code, 3 for workflow automation, 3 for office vertical, and 2 for search. The foundation models are mature; the real explosion point lies in industry deployment.

According to the China Business Industry Research Institute, the market for enterprise‑level AI agent solutions is projected to grow from ¥5.6 billion in 2024 to ¥59.1 billion in 2029, a compound annual growth rate of 60.2% – a trillion‑yuan‑scale opportunity moving from proof‑of‑concept to commercial realization.

Four Tech Giants’ Strategy Comparison

All four leading firms adopt a two‑layer product architecture: the first layer targets consumer‑facing general dialogue agents to gather data and refine capabilities; the second layer targets autonomous task agents for complex work scenarios, emphasizing automatic planning, multi‑tool invocation, and closed‑loop execution. Their execution differs markedly.

ByteDance : The most represented full‑stack player, covering five tracks (general, development, code, office, entertainment) with products such as Doubao, Kousi, TRAE, Feishu Aily, and Xiaoyunque. Doubao’s monthly active users have risen to 345 million. In July 2026 the Feishu product team merged into the Doubao system, reshaping the traditional SaaS "seat‑based" pricing model.

Alibaba : Strongest penetration in e‑commerce and office ecosystems. Products like Qwen, Baolian, Qoder, Quark, Wukong, and Agentic SOC leverage Alibaba Cloud across all tracks. In August 2026 "QwenWork" integrates directly with DingTalk; the international "AI Business Assistant 2.0" equips sales, reception, marketing, and compliance with specialized agents.

Baidu : Builds on its search foundation and government‑enterprise services. The "Qianfan" platform deepens government and state‑owned deployments; DuMate focuses on autonomous enterprise task execution and connects with Baidu’s Intelligent Cloud industrial system, earning a spot in the "Top 10 Most Practical Agents".

Tencent : Leverages its social entry point and full‑scenario office workbench. A matrix of Yuanbao, WorkBuddy, QClaw, Yuanqi, and CodeBuddy integrates with Tencent Docs, QQ Mail, Tencent Drive, and Tencent Meeting. By August 2026 its advertising appears heavily in first‑tier office buildings, indicating a shift toward "capturing user muscle memory".

Nine Market Tracks Overview

The nine tracks are grouped into three layers.

Foundation Capability Layer : General dialogue agents and general autonomous task agents.

Platform & Tool Layer : Includes development platforms, code agents, and AI search agents, determining the speed of scaling.

Industry Deployment Layer : Consists of vertical industry, workflow automation, and office‑vertical agents, representing the true value‑testing battlefield.

Specific sector examples:

Healthcare : Zhipu AutoClaw and Huawei Xiaoyi Claw extend to medical scenarios; iFlytek Spark X2‑VL achieves nearly 95% accuracy on subject‑specific questions.

Finance : Alibaba’s Agentic SOC focuses on security operations; Shizai Agent automates legacy ERP/MES in finance with a 90.2% success rate, topping global rankings.

Industrial : Baidu’s DuMate integrates with the Intelligent Cloud industrial system; Shizai Agent replaces production scheduling and quality inspection; Huawei’s Pangu targets government‑enterprise localization.

Education : iFlytek’s education‑specific large model continues deep development.

Government : Baidu Qianfan provides compliant, controllable private deployments for government and state‑owned enterprises.

Workflow‑automation tracks (Yingdao, Laiye, JinZhiWei) blend RPA with AI to replace repetitive roles in finance, HR, administration, and customer service. Office‑vertical tracks (Feishu Aily, Alibaba Wukong, WPS Lingxi) bind to the three major national office tools, making them the fastest‑commercializing verticals.

B‑Side Commercialization Data: Proven ROI Scenarios

Reality check: PwC finds 56% of CEOs say AI investment has "yielded nothing"; Gartner predicts that by the end of 2027, over 40% of agent projects will be terminated, mainly due to cost‑inefficiency. Consequently, ROI‑proven scenarios become the hard currency of the second half.

Three categories have demonstrated clear accounting:

R&D Efficiency : Code agents boost development efficiency by more than 30%, shifting from a helpful tool to a necessity.

Digital Employee / Workflow Automation : Target standardizable, high‑frequency, cross‑system roles such as finance, HR, administration, and customer service.

Deep Vertical Substitution : Shizai agents achieve a 90.2% operation success rate in manufacturing, finance, and energy; Baidu Qianfan’s compliant private deployments win government contracts.

The market size reinforces confidence: enterprise AI agent solutions are valued at ¥5.6 billion in 2024 and projected at ¥59.1 billion in 2029. Tencent WorkBuddy’s leader Liu Yi notes, "We are temporarily ahead by half a stride; the market is still very early. Model capability is a barrier, but there is no strong moat at the agent product layer." The decisive factor: "Who balances the books first, wins."

Desktop Competition: WorkBuddy vs. Baidu DaZi

AI product desktop rankings for July 2026 show total AI office desktop monthly active users around 30 million, with WorkBuddy at 11.1523 million and Baidu DaZi at 6.7430 million, together accounting for nearly 60% of the market.

Growth rates are dramatic: Baidu DaZi’s month‑over‑month increase is +1,063.79%, the highest, while WorkBuddy grows +304.40%, the second. Baidu DaZi is a burst‑type catch‑up; WorkBuddy is a steady leader. Compared with traditional office software, AI office tools occupy roughly one‑twentieth of the market, implying about 20‑fold growth potential.

Product positioning differs: WorkBuddy offers an all‑scenario workbench integrated with Tencent Docs, QQ Mail, Tencent Drive, and Tencent Meeting. Baidu DaZi is a professional office‑agent platform that automatically decomposes, retrieves, and processes cross‑file complex tasks. Both are listed among the "Top 10 Most Practical Agents". Competition has moved beyond the screen: WorkBuddy appears in elevators and campuses, while Lenovo pre‑installs agents on factory PCs, shifting the battle from online traffic to offline mindshare.

Judgment: H2 2026 – From Validation to Scale

Combining the four blocks leads to the assessment: "In the second half of 2026, the domestic agent industry is at the critical juncture of moving from validation to scale."

Three supporting forces : the foundation layer is stable (nine‑track framework and visual drag‑and‑drop platform lower agent creation barriers); demand is ignited (desktop MAU 30 million, code agents become essential); the commercialization model is clear (80% of AI value originates outside software, with manufacturing, finance, and government leading the break‑even).

Three hurdles to cross : (1) ROI authenticity – 56% see no return, 40% of projects may be halted, many "PPT agents" will reveal their limits at scale; (2) Homogenization – document, data analysis, and solution‑synthesis become standard features, eroding differentiation; (3) Uncertain entry point – ByteDance relies on scale, Alibaba on closed loops, Tencent on WeChat’s 1.3 billion entry, Baidu on search and government, with none yet decisive.

Returning to the TOP50 list, the key signal is not "who is listed" but the narrative shift: from "we have a smart chatbot" to "we have an intelligent partner that can complete an entire task for you." As agents evolve from Q&A tools to intelligent partners, the competitive battlefield moves from model parameters to who can close the loop of model, tools, and scenario. In H2 2026, only products that achieve ROI, embed deeply in verticals, and form user habits will break out of the entry‑war phase.