Xiaomi Positioned as a Key Winner in AI Home Appliances, Morgan Stanley Says

Xiaomi is poised to become a leading beneficiary of China's burgeoning AI-powered home appliance market, according to a recent report from Morgan Stanley. The investment bank reiterated its Overweight rating and HK$45 price target on the company, highlighting its integrated device ecosystem as a key competitive advantage.

Market Growth and Revenue Projections

Morgan Stanley analysts project that China's AI home appliance market will expand from approximately $123 billion today to about $150 billion by 2030. This growth is expected to be driven by increased consumer adoption of connected devices and higher average selling prices.

The bank forecasts that Xiaomi's domestic revenue from this segment could surpass RMB200 billion by 2035, with the potential for even greater sales from overseas markets. International expansion is seen as another significant avenue for long-term growth.

The 'Human + Car + Home' Ecosystem

Central to Morgan Stanley's positive outlook is Xiaomi's comprehensive ecosystem, which connects a wide range of products through its HyperOS platform. Analysts noted that this strategy provides a significant edge over traditional appliance manufacturers.

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Key strengths identified in the report include:

• Integrated Portfolio: A diverse lineup including smartphones, wearables, televisions, appliances, and electric vehicles.
• Synergistic Strategy: The "Human + Car + Home" approach creates a unified user experience, fostering customer loyalty and spending.
• Massive User Base: Over one billion connected devices provide extensive opportunities for cross-selling products and services.

Underestimated AI Investments

The report suggests the market may be underappreciating the long-term value of Xiaomi's investments in artificial intelligence. Analysts believe the company's ongoing development of proprietary large language models and AI agents could become a significant valuation driver as earnings growth accelerates through 2027 and 2028.

These AI capabilities are expected to support product differentiation, justify premium pricing, and ultimately improve profitability. While acknowledging near-term concerns about rising memory chip costs, Morgan Stanley views the issue as manageable, with pressures anticipated to ease in the second half of 2026.