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Analysis of the Impact of Qwen App User Growth on Alibaba's AI Business Valuation

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January 14, 2026

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Analysis of the Impact of Qwen App User Growth on Alibaba's AI Business Valuation

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Analysis of the Impact of Qwen App User Growth on Alibaba’s AI Business Valuation
I. Core Data Overview
1.1 Qwen App User Growth Performance

According to the latest data, Qwen App has shown impressive growth momentum [1][2][3]:

Metric Data Industry Position
Downloads in First Week of Public Beta 10M+ Fastest-growing AI application in history
MAU in 23 Days of Public Beta 30M Fastest growth rate globally
MAU in 30 Days of Public Beta 40M Top tier globally
Current MAU
~100M
First echelon in China
Qwen Model Downloads on Hugging Face
70M+
One of the most popular open-source models globally
1.2 Alibaba’s Stock Price Performance

Alibaba’s Hong Kong-listed stock (9988.HK) has performed strongly driven by the AI theme [0]:

Time Horizon Growth Remarks
Past 6 Months
+60.13%
AI valuation re-rating
Past 12 Months
+115.49%
Outperformed the broader market significantly
YTD +12.95% Sustained upward trend

Current Stock Price
: $168.30 |
Market Capitalization
: $3.12 Trillion |
Price-to-Earnings Ratio
: 22.63x


II. Analysis of the Direct Impact of 100 Million MAU on Valuation
2.1 Valuation Premium Driven by User Scale
(1) Re-rating of User Base Value
Valuation Dimension Impact Analysis Premium Contribution
User Scale Joined the first echelon of domestic AI applications (second only to Doubao’s 155 million MAU)
+3-5%
Growth Rate Surpassed 40 million MAU in 30 days of public beta, leading globally in growth rate
+2-3%
Model Recognition Qwen has exceeded 70 million global downloads, verifying technical strength
+2-4%
Total Premium
Approximately 7-12%
(2) Capital Market Reaction
  • Stock Performance
    : Rose over 70% in the past year, with AI business as the core driver [2]
  • Analyst Ratings
    : 87.5% of analysts gave a “Buy” rating [0]
  • Target Price
    : The median institutional target price is approximately $180-225 [1]
2.2 AI Business Contribution Under the Sum-of-the-Parts Valuation Method

Based on institutional valuation models [1]:

Business Segment Valuation Method Valuation Contribution per ADS
Taobao-Tmall Group 15x PE $141.18
Cloud Intelligence Group 5x PS $39.40
AI Business Premium
Driven by user growth
+$5-10
Total
$185-190

III. Can 100 Million MAU be Converted into Sustainable Commercial Value?
3.1 Analysis of Commercialization Paths

Qwen App is building a diversified commercial monetization system [2][3]:

Ranking of Potential Monetization Scale:
  1. Self-operated AI E-commerce
    - Integrates with Taobao ecosystem, with the largest monetization potential
  2. AI Shopping Guide Service
    - Precision recommendations based on user needs
  3. AI Advertising and Marketing
    - Traffic monetization in non-e-commerce scenarios
  4. AI Hardware Terminals
    - Terminal devices such as AIPCs and AI-enabled phones
Business Architecture Upgrade:
  • On December 9, 2025, the
    Qwen C-End Business Group
    was established, led by Wu Jia [3]
  • Integrates businesses including Qwen App, Quark (150 million MAU), AI hardware, UC, and Shuqi
  • Unified entry, enhanced “task execution” capabilities, and building an AI lifestyle portal
3.2 Challenges in Commercialization Conversion
Challenge Factor Specific Performance Risk Level
User Retention
Nearly 60% of AI-native applications experienced user churn in Q3 [3] High
Willingness to Pay
User ARPU potential to be verified Medium
Competitive Pressure
ByteDance’s Doubao has exceeded 100 million DAU, with DeepSeek continuously catching up High
Scenario Implementation
Needs to integrate high-frequency scenarios such as maps, food delivery, ticket booking, and office applications Medium
3.3 Forecast of Key Conversion Metrics
Metric Current Level 6-Month Target 12-Month Target
MAU 100M 120-150M 150-200M
DAU/MAU ~15% 18-20% 22-25%
Payment Conversion Rate <1% 2-3% 5-8%
Average Monthly ARPU ¥2-3 ¥5-8 ¥10-15

IV. Competitive Landscape and Market Position
4.1 Competitive Landscape of Domestic AI Applications
Product MAU Features Alibaba’s Competitive Strategy
Doubao
155M First AI application with over 100 million DAU Differentiated positioning
Qwen
~100M Fastest growth Technology leadership
DeepSeek
~50M Open-source breakthrough Dual open-source and closed-source strategy
Ernie Bot
~5M Slowing growth Needs to catch up
Yuanbao
~30M Tencent’s follow-up Moderate pressure
4.2 Alibaba’s Competitive Advantages
Advantage Area Specific Performance Valuation Support
Open-Source Ecosystem
Qwen has exceeded 70 million global downloads Technological discourse power
Enterprise Market
Largest large model call volume in China High certainty of B-end monetization
Integration Capability
Dual entry points of Qwen + Quark User synergy effect
Ecosystem Synergy
Linkage with Taobao, Amap, and Ele.me Scenario advantages
4.3 Risk Factors
Risk Type Specific Content Impact on Valuation
Investment Pressure
Increasing expenditures on AI, cloud, and instant retail Short-term profit margin pressure
Intensified Competition
Continuous investment from ByteDance and Tencent Market share volatility
Policy Risks
China-US relations, delisting of Chinese concept stocks Valuation discount
Commercialization Delay
Fading user curiosity Slowing growth

V. Valuation Conclusions and Investment Recommendations
5.1 Core Conclusions
  1. 100 million MAU provides significant valuation support
    :

    • Manifested as a valuation premium of approximately 7-12%
    • Verified Alibaba’s technical strength and execution capability in the C-end AI market
    • Laid a user foundation for subsequent commercialization
  2. Conversion to commercial value still needs to be observed
    :

    • User retention and payment conversion are the key
    • Initial commercialization results are expected to be seen within 6-12 months
    • Long-term success depends on AI e-commerce and scenario ecosystem synergy
  3. Valuation center is expected to continue to rise
    :

    • AI business revenue share will increase (expected to reach 15-20% in FY2026)
    • Cloud Intelligence’s PS valuation multiple is expected to evolve from 5x to 8-10x
    • Overall target price: $180-225
5.2 Valuation Sensitivity Analysis
Scenario MAU Growth Commercialization Progress Valuation Change
Optimistic
150M+ MAU Payment rate 5%+ +15-20%
Base Case
120M MAU Payment rate 3% Base case
Conservative
80M MAU Payment rate <1% -10-15%
5.3 Investment Recommendations
  • Current Rating
    : Buy (87.5% analyst consensus) [0]
  • Target Price
    : $180-225
  • Risk Warning
    : Capital expenditure higher than expected, commercialization progress falling short of expectations, risks from China-US relations

References

[0] Jinling API Data - Alibaba Company Profile and Real-Time Quotes
[1] Eastmoney - Research Report “AI Industry Transformation Drives Alibaba’s Valuation Re-rating” (https://pdf.dfcfw.com/pdf/H3_AP202503101644228386_1.pdf)
[2] Yicai Global - “Qwen Surpasses 10 Million Downloads in One Week, Alibaba Opens the Door to the ‘Ultimate Entry Point of the AI Era’” (https://www.yicai.com/news/102926019.html)
[3] The Paper - “Alibaba’s Qwen Completes One Month of Public Beta, Has It Seized the Entry Point of the AI Era?” (https://www.thepaper.cn/newsDetail_forward_32189024)
[4] Sina Finance - “Doubao’s DAU Surpasses 100 Million, Qwen and Yuanbao Catch Up” (https://finance.sina.com.cn/roll/2026-01-13/doc-inhhcxit9180312.shtml)

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Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.