AI Memory Chip Shortage Will Cut Affordable Smartphone Supply Over 22% in 2026

TL;DR: Omdia, a global technology research firm, forecasts that worldwide shipments of smartphones priced below 400 USD will fall by more than 22% in 2026, the steepest budget-segment decline on record (Omdia, July 2026). The driver is the AI memory chip crunch, a supply squeeze in which artificial intelligence (AI) data centers absorb the memory that used to go into cheap handsets.

Memory now makes up close to 60% of the bill of materials on a sub 400 USD phone, and more than 64% on handsets under 100 USD. High bandwidth memory (HBM) and standard DRAM are being redirected toward AI accelerators. Vietnamese buyers, who lean heavily toward budget and mid range devices, face fewer models and higher prices through 2026 and into 2027. This guide explains the AI memory chip shortage, verifies the numbers, and sets out what it means for Vietnam.

Table of Contents

• What is the AI memory chip shortage?
• How bad is it? The numbers
• Which phones are affected?
• Why is AI winning the memory battle?
• What it means for Vietnam
• How businesses and buyers should respond
• FAQ

What Is the AI Memory Chip Shortage, and Why Does It Hit Phones?

The AI memory chip shortage is not a factory breakdown. Fabrication plants are running near full capacity. The problem is allocation. DRAM (dynamic random access memory) and HBM (high bandwidth memory) are the two chip families at the center of it. Cloud providers and AI hardware makers buy these chips in bulk for AI servers, and that demand pulls supply away from consumer phones. Omdia analyst Zaker Li, a principal analyst on the firm's consumer team, described the squeeze in a July 2026 report as a structural shift, not a passing blip.

Every smartphone needs memory. A phone keeps its operating system and apps in flash storage and runs them in DRAM. When DRAM prices jump, the cheapest phones feel it first, because memory is a larger slice of their total cost. That is the core reason the AI memory chip shortage lands hardest on budget devices while premium flagships stay largely untouched. Manufacturers of low cost phones have thin margins and little room to absorb a memory bill that has roughly doubled.

How Bad Is the AI Memory Chip Shortage? The Numbers

According to Omdia data published in July 2026, memory climbed from about a third of a budget phone's build cost to close to 60% in under a year. For the very cheapest phones, those under 100 USD, memory now exceeds 64% of the bill of materials. Memory research firm TrendForce and others reported DRAM contract prices rising steeply, with some categories up around 90% in the first quarter of 2026 versus the prior quarter. The AI memory chip shortage has turned memory from a minor line item into the single biggest cost in a cheap phone.

The AI memory chip shortage does not hit every price tier equally. Omdia expects phones above 400 USD to grow about 5.7% in 2026, helped by stronger margins and buyers who are less sensitive to price. Sub 400 USD shipments, by contrast, are forecast to fall more than 22%. The gap shows the shortage is really a budget-phone problem: the same chip cost is small next to a premium handset's price but decisive for a phone that used to sell for under 150 USD.

Which Phones Are Affected by the AI Memory Chip Shortage?

Budget and mid range Android phones are the clear casualties. Omdia named vendors including Transsion (owner of Tecno and Infinix), OPPO, vivo, Honor, and Xiaomi as raising retail prices in 2026 just to hold thin margins. Some are also cutting specifications, shipping less RAM or storage at the same price, so buyers get less phone for their money. The AI memory chip shortage therefore shows up in two ways at once: higher sticker prices and quietly downgraded hardware.

Flagship phones are far more insulated. On a device that sells above 400 USD, a higher memory bill is a small share of the total, and the maker earns enough margin to absorb it. This is why the AI memory chip shortage widens the gap between cheap and premium phones. For readers tracking how AI demand reshapes technology markets, our Vietnam AI strategy analysis covers the broader policy backdrop.

Why Is AI Winning the Memory Allocation Battle?

The answer is economics. A single HBM stack can sell for roughly 60 to 100 USD, against about 5 to 10 USD for a comparable amount of standard DDR5 DRAM, according to IEEE Spectrum (2026). Samsung, SK Hynix, and Micron, which together control more than 95% of global DRAM output, have shifted wafer capacity toward the far more profitable HBM used in AI accelerators. Every wafer that goes to HBM is a wafer that does not become cheap phone memory, which is the mechanism behind the AI memory chip shortage.

This will not reverse quickly. New memory fabrication capacity takes years and heavy capital to build, so analysts expect relief only as fresh supply arrives in the 2027 to 2028 window, assuming AI demand does not keep climbing. Until then, the AI memory chip shortage is a durable feature of the market rather than a short spike. Our monthly AI model rankings track how fast frontier AI demand keeps growing.

What Does the AI Memory Chip Shortage Mean for Vietnam?

Vietnam is unusually exposed because its market skews toward affordable phones. The Vietnamese smartphone market was valued at about 6.71 billion USD in 2024 (TechSci Research). In Q3 2025, Samsung led with roughly 29% share, Xiaomi held about 19%, and Apple and OPPO each held about 17% (TelecomLead, 2025). Counterpoint Research noted that the share of phones under 200 USD fell to about 50%, a record low, as buyers traded up to the 200 to 400 USD band, which grew about 19% year on year.

That mid range shift matters, because the 200 to 400 USD band sits squarely inside the sub 400 USD tier Omdia expects to shrink. In practice, Vietnamese consumers will see fewer new budget models, more price increases, and thinner promotions in late 2026. First time buyers, students, and rural households, who depend most on cheap phones, feel the AI memory chip shortage most directly. For businesses, device costs for field staff and frontline teams will edge up too.

How Should Vietnamese Businesses and Buyers Respond?

For buyers, the practical advice is to buy sooner rather than later if you need a budget phone, and to expect that this year's model may carry less RAM than last year's at the same price. Compare memory specifications, not just the headline price. For businesses procuring devices in volume, lock in orders early and budget for higher per unit costs through 2027.

For data driven companies, the deeper lesson is that AI demand now moves physical supply chains, not just software roadmaps. Tracking component costs, vendor pricing, and market share is exactly the kind of structured market intelligence DataCore builds. Our Company Intelligence Service maps vendor and supplier signals, and our data domains cover the market and organization datasets behind analyses like this one. For the AI context, see our GPT-5.6 guide for Vietnam AI teams.

How Does the AI Memory Chip Shortage Fit the Wider 2026 Market?

The AI memory chip shortage is not only a phone story. It runs across the whole electronics supply chain. Omdia expects the overall smartphone market to contract in 2026, with the budget tier taking by far the deepest cut. Personal computers, tablets, and low cost servers all draw on the same DRAM pool, so the same pressure that raises phone prices also raises the cost of laptops and entry level PCs. Analysts have described a broad DDR5 supply crisis, where standard memory used across consumer devices is squeezed by the pull of AI accelerators.

This is why the AI memory chip shortage matters beyond any single product. When one buyer, in this case the AI industry, can pay far more per wafer, every other buyer competes at a disadvantage. The knock on effect reaches contract manufacturers, distributors, and retailers, who must decide whether to raise prices, cut specifications, or accept thinner margins. For a market like Vietnam, where imported devices dominate and price sensitivity is high, these decisions land quickly on store shelves.

DRAM Versus HBM: What Is the Difference, and Why Does It Matter?

DRAM (dynamic random access memory) is the everyday working memory in phones, laptops, and servers. HBM (high bandwidth memory) is a specialized, stacked form of DRAM built for the enormous data throughput that AI accelerators need. HBM sells at a large premium: a single HBM stack can fetch roughly 60 to 100 USD, while a comparable amount of standard DDR5 DRAM costs about 5 to 10 USD (IEEE Spectrum, 2026). That price gap is the engine of the AI memory chip shortage.

Because Samsung, SK Hynix, and Micron control more than 95% of DRAM output, their capacity choices set the market. When they steer wafers toward HBM, the supply of cheap DRAM tightens and its price climbs. HBM and standard DRAM are made on overlapping production lines, so building more HBM directly reduces how much commodity memory reaches phone makers. Understanding this DRAM versus HBM split is the key to seeing why the AI memory chip shortage is structural, not a temporary shipping delay.

The takeaway for planners is simple: as long as AI accelerators command a premium and memory makers earn more per wafer on HBM, the incentive to divert capacity persists. The AI memory chip shortage will ease only when new fabrication lines add enough total capacity that suppliers can serve both AI and consumer demand at once, a build out that analysts place in the 2027 to 2028 window.

What Should Data Teams Watch Next?

For analysts and data teams, three signals are worth tracking through the rest of 2026. First, DRAM and HBM contract prices, reported quarterly by memory research firms, which show whether the squeeze is easing or tightening. Second, vendor pricing moves from Transsion, Xiaomi, OPPO, vivo, and Honor, which reveal how much of the AI memory chip shortage is being passed to consumers. Third, announced fabrication capacity additions, which set the timeline for relief.

In Vietnam specifically, watch whether the sub 200 USD segment keeps shrinking and whether the 200 to 400 USD band absorbs those buyers or simply loses them. If budget shoppers delay purchases rather than trade up, unit volumes could fall faster than the value of the market, a pattern that would sharpen the effect of the AI memory chip shortage on retailers and carriers. Structured tracking of these signals is exactly where market and organization datasets earn their keep.

FAQ: The AI Memory Chip Shortage and Smartphones

What is causing the AI memory chip shortage in 2026? AI data centers are buying HBM and DRAM in huge volumes for AI accelerators. Memory makers shifted wafer capacity to high margin HBM, leaving less supply for the cheap DRAM that budget phones use. The result is the AI memory chip shortage, an allocation squeeze rather than a production failure (Omdia, July 2026).

Which smartphones are most affected by the AI memory chip shortage? Budget and mid range phones under 400 USD, especially those under 100 USD where memory now exceeds 64% of build cost. Premium phones above 400 USD are largely insulated and are still forecast to grow about 5.7% in 2026 (Omdia).

How much have memory prices risen? Memory climbed from roughly a third to close to 60% of a budget phone's bill of materials in under a year, and DRAM contract prices rose sharply, with some categories up around 90% quarter on quarter in early 2026 (Omdia and TrendForce, 2026).

What does the AI memory chip shortage mean for buyers in Vietnam? Vietnam's market leans toward affordable phones, so shoppers will see fewer budget models, higher prices, and reduced specifications through 2026 and into 2027. Buying earlier and comparing memory specs are the practical responses.

When will the AI memory chip shortage end? Analysts expect relief only as new memory fabrication capacity comes online in the 2027 to 2028 window, and only if AI demand does not keep accelerating.

How Are Memory Makers and Phone Vendors Responding?

Memory makers are following the money. With HBM commanding a large premium, Samsung, SK Hynix, and Micron are expanding HBM output and reserving scarce wafer capacity for it, which is the direct supply side cause of the AI memory chip shortage. New capacity announcements exist, but memory fabrication plants take years and billions in capital to bring online, so any relief arrives on a multi year timeline rather than within a single quarter.

Phone vendors are adjusting in three ways. Some raise retail prices, as Omdia observed across Transsion, OPPO, vivo, Honor, and Xiaomi in 2026. Some cut specifications, shipping a phone with less RAM or storage at the same price so the headline number holds. Others delay or cancel the cheapest models entirely, concentrating on devices where margins can absorb the memory bill. Each response passes some portion of the AI memory chip shortage on to the buyer, whether as a higher price or a weaker phone.

For a market like Vietnam, the mix of these responses decides how the AI memory chip shortage feels on the ground. If vendors lean on price increases, headline affordability suffers. If they lean on quiet specification cuts, buyers may not notice until they compare this year's model with last year's. Either way, informed shoppers who read the memory specifications, not just the price tag, will make better decisions during the shortage.

Sources

• Omdia, "Global smartphones priced below 400 dollars will decline by 22% as memory costs soar" (July 2026)
• Tom's Hardware, "Budget smartphone market collapses under the weight of memory shortages" (July 2026)
• IEEE Spectrum, "AI Boom Fuels DRAM Shortage and Price Surge" (2026)
• TrendForce, "Memory Wall Bottleneck: AI Compute Sparks Memory Supercycle" (2026)
• Counterpoint Research, "Vietnam Smartphone Market Q1 2025" (2025)
• TelecomLead, "Vietnam smartphone market leaders in Q3 2025" (2025)
• TechSci Research, "Vietnam Smartphone Market" (2024 valuation)

Published July 2026. Last updated 11 July 2026. All figures carry their source and date inline; where forecasts differ between firms, we cite the most recent named source.