Stock Markets July 11, 2026 10:05 PM

Morgan Stanley Says Xiaomi Set to Gain From Rise of AI-Powered Home Appliances

Brokerage reiterates Overweight and HK$45 target, citing ecosystem strength, global reach and AI software investments

By Marcus Reed
Share
Twitter Reddit Facebook LinkedIn

Morgan Stanley maintains an Overweight rating and a HK$45 price target on Xiaomi, arguing the company is well positioned to capture a growing share of China’s AI-driven home appliance market. The brokerage projects the domestic AI appliance market to expand to about $150 billion by 2030 and forecasts Xiaomi’s domestic AI home appliance revenue could top RMB200 billion by 2035, with overseas sales potentially exceeding that level. Morgan Stanley points to Xiaomi’s integrated device ecosystem, HyperOS platform, and ongoing investments in proprietary AI models as core drivers, while describing short-term memory chip cost pressure as manageable and likely to ease in the second half of 2026.

Morgan Stanley Says Xiaomi Set to Gain From Rise of AI-Powered Home Appliances
Summarize with
ChatGPT Perplexity Claude Grok Gemini

Key Points

  • Morgan Stanley reiterates Overweight on Xiaomi with a HK$45 price target, citing ecosystem advantages and long-term growth potential.
  • China’s AI home appliance market is projected to expand from about $123 billion to roughly $150 billion by 2030, driven by connected-device adoption and higher average selling prices.
  • Xiaomi’s integrated product portfolio, HyperOS platform and more than one billion connected devices are positioned to enable cross-selling and higher customer spend; proprietary AI software and models could become significant valuation drivers if earnings accelerate in 2027-2028.

Morgan Stanley reiterated an Overweight rating and set a HK$45 price target on Xiaomi, arguing the company stands to be one of the main beneficiaries from the expansion of China’s AI-enabled home appliance market.

Analysts at the brokerage forecast the AI home appliance market in China will climb from approximately $123 billion today to around $150 billion by 2030. Rising penetration of connected devices and increasing average selling prices are cited as the key forces behind that expansion. Against that backdrop, Morgan Stanley projected Xiaomi’s domestic AI home appliance revenue could exceed RMB200 billion by 2035, and suggested the company’s overseas revenue has potential to top that same threshold.

Central to Morgan Stanley’s positive view is Xiaomi’s broad product ecosystem. The report highlights the company’s lineup of smartphones, wearables, televisions, household appliances and electric vehicles as creating a foundation for consumers to adopt interconnected AI-capable devices via Xiaomi’s HyperOS platform. That integrated approach, the analysts argue, makes it easier to bundle devices and raise per-customer spending by linking multiple products into a unified user experience.

The note also emphasized Xiaomi’s expanding global installed base. With more than one billion connected devices in the field and a growing monthly active user base, Morgan Stanley said the company has significant opportunities to cross-sell products and deepen engagement across its ecosystem.

Morgan Stanley pointed to Xiaomi’s "Human + Car + Home" strategy as a means to generate further synergy between product categories and to reinforce the company’s competitive position relative to traditional appliance makers. The brokerage also sees international expansion as an additional channel for sustained revenue growth over time.

Beyond hardware, the report argued that market participants continue to underappreciate Xiaomi’s AI-related software investments. Ongoing development of proprietary large language models, AI agents and other software capabilities is identified as a potential valuation catalyst, with Morgan Stanley saying these investments could become a more material driver of value if earnings growth accelerates through 2027 and 2028. Software-led differentiation is expected to support premium pricing and profitability for Xiaomi’s products.

Near-term cost pressures were addressed as well. The analysts acknowledged rising memory chip costs but characterized them as manageable, noting management has outlined countermeasures that include price increases and improvements in product mix. The report added that cost headwinds are expected to ease in the second half of 2026.


Overall takeaway: Morgan Stanley’s research frames Xiaomi as a leading candidate to benefit from the transition to AI-enabled home appliances through a combination of a wide device portfolio, a large installed base, increasing software capabilities and an international growth pathway, while short-term margin pressure from memory costs is being managed with actions that are anticipated to provide relief by H2 2026.

Risks

  • Rising memory chip costs present a near-term margin risk for consumer electronics and home appliance sectors; management actions are expected to mitigate the impact and pressures are forecast to ease in the second half of 2026.
  • Execution risk in converting a large installed device base into sustained revenue growth through cross-selling and international expansion affects consumer electronics and global retail channels.
  • Uncertainty over the timeline and commercial impact of Xiaomi’s AI software investments means anticipated valuation benefits tied to proprietary large language models and AI agents may take time to materialize, influencing semiconductor and software-related profitability assumptions.

More from Stock Markets

Ford and Unifor Reach Tentative Three-Year Contract Covering Over 5,000 Canadian Workers Jul 11, 2026 MOEX closes flat as select banks and miners swing; index marks new three-year low Jul 11, 2026 Morgan Stanley Says Nvidia's Next Leg of Growth Will Come from Broader AI Customer Mix Jul 11, 2026 China Suspends Helium Exports to Preserve Domestic Stocks as Middle East Fighting Raises Supply Risks Jul 11, 2026 BofA Spotlight: South Korea and UAE Position Themselves as Leading AI Candidates Beyond U.S. and China Jul 11, 2026