Morgan Stanley Analysis: SIMO Target Price Raised to $400, AI Server Reshapes NAND Cycle

TL;DR

• Morgan Stanley raised SIMO's target price from $155 to $400, citing AI-driven acceleration in demand for enterprise SSDs and boot drives as the core reason.
• It forecasts a 15% global NAND shortage in 2026 and a 9% shortage in 2027, with AI-related demand reaching 609EB by 2027.
• Suppliers and controller manufacturers benefit more directly, but consumer-side price increases are limited; YMTC's capacity expansion and a slowdown in AI capital expenditure could alter the supply-demand balance in 2028.

In its latest report, Morgan Stanley significantly raised the target prices for Silicon Motion (SIMO.O) and Longsys, attributing the core rationale to a NAND demand gap driven by AI servers. For investors, this is not just an ordinary expectation of SSD price increases. It signals a new cycle where AI data centers are pushing NAND demand away from consumer electronics cycles like smartphones and PCs, and towards a new era driven by enterprise SSDs, AI boot drives, and long-term procurement from cloud providers.

The most aggressive adjustment falls on SIMO. Morgan Stanley raised its target price from $155 to $400, corresponding to 23 times the estimated 2027 EPS, and projects the company's 2026 revenue will hit a record high. Longsys's target price was also raised from 300 yuan to 673 yuan, and Phison's from NT$2,248 to NT$2,588. However, Morgan Stanley maintains an Equal-Weight rating on Longsys and Phison, indicating that not all module manufacturers will benefit equally in this cycle.

The core judgment of this report is that AI's pull on NAND will persist until 2027. In 2025, the lingering inventory surplus from the previous cycle will still result in a global NAND oversupply of about 2%; by 2026, the market is expected to swing to a 15% shortage; and even as supply continues to be released in 2027, a 9% gap may still exist. The key drivers behind this are not smartphones and PCs, but demand from AI servers, cloud provider SSDs, enterprise storage, and boot drives.

Global NAND supply-demand balance points to a shortage in 2027. Total demand for 2025-2027e is 1111/1250/1484 EB, with supply of 1128/1058/1347 EB, shifting the supply-demand ratio from 2% to -15% and -9%.

AI Shifts NAND Demand重心 from Consumer Electronics to Data Centers

Historically, NAND has been more susceptible to inventory cycles in smartphones, PCs, and consumer-grade SSDs. The change now is that AI servers require not only GPUs and HBM but also substantial local storage, enterprise SSDs, and boot drives. Once cloud providers' procurement shifts to long-term contracts, the dynamics of NAND pricing and supply-demand will also transform.

Morgan Stanley estimates that by 2027, AI-related NAND demand will grow 60% year-over-year, reaching 609EB, accounting for 41% of total NAND demand. In the same year, global total NAND demand is projected at 1484EB, with supply at 1347EB, corresponding to an approximate 9% shortage. In contrast, assumptions for smartphones and PCs are not aggressive: per-device NAND capacity remains largely flat, and terminal shipments are projected to decline based on hardware team models.

This means the report's shortage judgment is not based on a broad consumer electronics recovery, but on the continued expansion of AI server and cloud capital expenditure. The greater the contribution of AI demand, the higher the sensitivity of the NAND cycle to CSP procurement, server configurations, and enterprise SSD supply.

Channel prices are already diverging. Channel checks for 3Q26 show TLC enterprise SSD pricing up approximately 30% quarter-over-quarter, server-grade DRAM up 20%, and legacy DRAM like DDR3/DDR4 up 30%-40%. However, consumer-grade NAND price increases are significantly smaller, due to tighter profit margins for smartphone and PC customers, making them less able to absorb similar price hikes.

In other words, price increases are indeed happening, but the strongest rises are for data center-related products, not for all NAND categories.

Why Was SIMO's Target Raised the Most?

The core reason for SIMO's target price increase lies in its business model precisely capturing two links in the AI storage increment: enterprise SSD controllers and AI boot drive modules.

The MonTitan enterprise SSD business is seen as the company's most important new growth driver for the coming years. Morgan Stanley projects this business will contribute 5%, 13%, and 19% of SIMO's revenue in 2026, 2027, and 2028, respectively. Simultaneously, boot drive modules will begin to ramp up, expected to contribute approximately 15% and 21% of the company's revenue in 2026 and 2027.

For AI servers, the boot drive is not the most prominent component, but it is an indispensable storage configuration for system startup, management, and operation. As AI server shipments increase, demand for related controllers and modules will rise in tandem. SIMO was previously more likely to be viewed by the market as a consumer-grade controller company. The key to its valuation upgrade is the rapidly increasing proportion of revenue from enterprise and AI-related sectors.

However, this is still a forecast, not realized profit. The $400 target price given by Morgan Stanley corresponds to 23 times the estimated 2027 EPS. The implicit premise is that the ramp-up of enterprise SSDs and boot drives goes smoothly, customer adoption continues to progress, and AI server demand does not significantly decelerate. Any link falling short of expectations could affect whether the valuation holds.

Module Manufacturers Get Target Hikes, But May Not Capture the Largest Share

Longsys and Phison also benefit from memory price increases and AI server demand, but the report did not upgrade their ratings to a more positive level. The reason is that module manufacturers face a practical constraint in this cycle: when NAND supply is tight, manufacturers are more likely to prioritize capacity allocation for large cloud providers and core CSP customers, meaning module manufacturers may not get enough incremental supply.

This is also why target prices can be raised, but ratings remain at Equal-Weight. Price increases benefit inventory and ASP, and an improved enterprise product mix can support margins. However, if volume is locked in by upstream suppliers and major customers, the revenue elasticity of module manufacturers may be limited.

Long-term agreements (LTAs) are another important clue. Suppliers can gain some downward price protection through LTAs; Kioxia's LTA coverage in 2027 is expected to exceed 50%. But such agreements are not unilaterally positive. Micron has also noted that LTAs often include both price ceilings and floors. While they can reduce the risk of price crashes, they may also limit suppliers' ability to raise prices during extreme shortages.

Module manufacturers aim to transfer more inventory pressure to customers through models like TCM, targeting long-term gross margins in the 25%-35% range. But this also depends on customer acceptance, the degree of supply tightness, and whether the products are sufficiently high-end.

The Risk in 2028 Lies in Supply and AI Spending

The biggest boundary for this optimistic forecast lies in 2028.

Under Morgan Stanley's baseline scenario, even by 2028, if AI NAND demand still grows 60% year-over-year and YMTC's capacity remains around 310kwpm, the market could still face an approximate 5% shortage. However, if YMTC's capacity rises to 470kwpm, coupled with slowing AI growth, the NAND market could shift from shortage to oversupply.

YMTC 2028 capacity expansion vs AI SSD growth scenario test. The matrix shows that under combinations of YMTC capacity (310-470kwpm) and AI growth (30%-60%), supply-demand could shift from a shortage to near balance or even oversupply.

This is where the memory cycle is hardest to predict: short-term price increases and low inventory levels easily reinforce optimistic expectations, but once supply discipline in semiconductor memory loosens, oversupply can return quickly. Some order cuts are already appearing on the consumer side. Smartphone and PC customers have limited tolerance for price hikes, and the price ceiling for consumer-grade NAND may be reached earlier than for enterprise products.

Therefore, the real question this report poses to the market is not "Will SSDs get more expensive?" but "Can AI demand be strong enough to absorb the new supply coming in the next two years?" For companies like SIMO along the controller and AI storage supply chain, 2026 could be the starting point for volume shipments in enterprise and AI businesses. For the entire NAND cycle, the pace of expansion by manufacturers like YMTC in 2028, the intensity of CSP capital expenditure, and supplier discipline will be the key factors determining whether the shortage can persist.