Rising memory chip costs expected to impact global budget smartphone market
Increased production costs for memory components are projected to shrink the global market for low-cost smartphones this year. Analysts suggest these pressures may lead to a significant decline in sales and hardware compromises for mid-range devices.
Amalgamated from Business Insider (opens in new tab), Tom's Hardware (opens in new tab)
Rising prices for memory chips are projected to shrink the global market for budget-friendly smartphones this year, according to reports from Business Insider. The increased cost of these essential components makes it more difficult for manufacturers to produce lower-tier mobile phones at accessible price points.
The trend is linked to a "global AI memory squeeze," as noted by Tom's Hardware. This refers to the intense demand for high-performance memory required to power artificial intelligence features in modern electronics. According to Tom's Hardware, memory now accounts for up to 64% of the total manufacturing cost for lower-tier smartphones.
Projections suggest that these costs could lead to a decline in sales for budget devices by approximately 22%. Additionally, some manufacturers may be forced to compromise on hardware specifications for mid-range models as they navigate these supply chain pressures.
Why this matters
The shrinkage of the budget segment could disproportionately affect consumers in emerging markets who rely on affordable mobile technology. It also highlights how high demand for premium AI features can create significant cost pressures across the entire consumer electronics manufacturing landscape.
What's confirmed / what isn't
Both Business Insider and Tom's Hardware report that rising memory costs are impacting the budget smartphone market. The specific estimate of a 22% sales drop is reported only by Tom's Hardware.
Background
Memory chips, including RAM and flash storage, are essential components for smartphone operation. The current volatility in pricing is tied to the rapid integration of large-scale artificial intelligence models into mobile hardware.