The global storage industry is entering a new phase of expansion, driven by the rapid development of artificial intelligence (AI) technologies. According to Dongfang Securities, rising demand for AI applications is reshaping the semiconductor landscape, particularly in dynamic random-access memory (DRAM) and flash memory markets. With prices for both DRAM and NAND flash showing sustained growth since May, momentum is expected to carry through the third quarter of 2025 and beyond. This upward trend reflects not only recovering market demand but also structural shifts in supply chains and technological innovation—especially in China’s domestic storage ecosystem.
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Market Trends: Rising Prices Signal Strong Demand
In recent months, average monthly prices for key storage components—DRAM and NAND flash—have increased consecutively for two months, signaling a turnaround in the semiconductor cycle. For NAND flash, price growth in Q2 was partly influenced by geopolitical factors affecting supply chains. However, the primary driver in Q3 is expected to be rising enterprise SSD demand, especially from data centers scaling up AI infrastructure.
On the DRAM side, production cutbacks announced by major manufacturers have triggered restocking activity across the supply chain. In particular, DDR4 memory modules are seeing strong demand from industrial and consumer electronics sectors despite the industry's broader shift toward DDR5. This mismatch between supply reallocation and ongoing market needs has created favorable pricing conditions, especially in the niche or "specialty" DRAM segment.
Global AI-driven storage market revenue is projected to surge from $28.7 billion in 2024 to $255.2 billion by 2034, according to Precedence Research—a compound annual growth rate (CAGR) of 24.4%. This explosive growth underscores AI’s role as a foundational force behind next-generation storage requirements.
DRAM Evolution: Niche Markets and Advanced Packaging
The specialty DRAM market is undergoing significant transformation. As leading manufacturers redirect capacity toward high-bandwidth memory (HBM) and DDR5 production, supply constraints in legacy nodes like DDR3 and DDR4 have intensified. Yet demand remains robust in applications such as surveillance systems, automotive electronics, set-top boxes, and industrial controls—segments where cost sensitivity and compatibility favor older standards.
This imbalance presents a strategic opportunity for secondary-tier (Tier 2) suppliers, particularly Chinese firms investing in process optimization and product differentiation. With reduced competition from top-tier players, these companies can expand market share and improve profitability in niche segments.
Beyond capacity shifts, technological innovation is redefining DRAM architecture. To meet AI’s insatiable appetite for speed and bandwidth, 3D-stacked DRAM solutions are gaining traction. Leveraging advanced packaging techniques such as hybrid bonding, 3D DRAM enables higher density, faster data transfer rates, and improved power efficiency compared to traditional planar designs.
High Bandwidth Memory (HBM), widely adopted in AI accelerators and GPUs, exemplifies this trend. But beyond HBM, customized 3D memory architectures are being developed specifically for edge AI devices—offering optimized performance, lower latency, and better thermal management. As AI processing moves closer to end-user devices (the so-called “edge AI”), demand for tailored, high-efficiency memory solutions will accelerate.
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Flash Memory: Capacity Surge Fueled by AI and Enterprise Needs
Flash memory—particularly NAND and NOR types—is also experiencing renewed momentum. The rise of AI models with massive parameter counts demands vast amounts of fast storage for training and inference workloads. Data centers are upgrading to high-capacity enterprise SSDs to handle growing datasets and reduce I/O bottlenecks.
Enterprise SSD adoption is accelerating rapidly, driven by cloud service providers and large-scale AI labs requiring reliable, high-throughput storage systems. Chinese module manufacturers are well-positioned to benefit from this trend, leveraging competitive pricing and localized support to gain ground against established international brands.
Meanwhile, NOR flash continues to find relevance in embedded applications where code reliability and fast read speeds are critical—such as automotive infotainment systems, IoT sensors, and industrial MCUs. The integration of lightweight AI models into edge devices further boosts NOR flash demand, as these systems often require on-chip storage for firmware and real-time operations.
Chinese semiconductor firms are making steady progress in both NAND and NOR technologies. By focusing on high-value niches and improving process nodes, domestic players are building sustainable competitive advantages. Government-backed initiatives promoting semiconductor self-reliance provide additional tailwinds for local innovation and market penetration.
Domestic Ecosystem: Policy Support Meets Technological Advancement
China’s storage industry stands at a pivotal juncture. Favorable policies emphasizing technological autonomy—especially in strategic sectors like AI, telecommunications, and national infrastructure—are catalyzing investment in domestic IC design and manufacturing.
Local companies are expanding their presence across multiple fronts:
- Developing specialty DRAM products tailored to industrial and consumer needs
- Advancing 3D NAND stacking capabilities to close the gap with global leaders
- Innovating in NOR flash for automotive and IoT applications
- Building end-to-end solutions that integrate hardware, firmware, and software
These efforts are supported by growing R&D expenditures, talent development programs, and collaboration between academia and industry. Over time, this ecosystem could reduce reliance on imported components and strengthen supply chain resilience.
Frequently Asked Questions
Q: What is driving the recent increase in DRAM and NAND prices?
A: The price rise is fueled by recovering demand from data centers and consumer electronics, production adjustments by major manufacturers, and increased procurement for AI-related infrastructure.
Q: How does AI impact storage requirements?
A: AI models require large volumes of high-speed memory for training and inference. This drives demand for advanced DRAM (like HBM) and high-capacity enterprise SSDs with low latency.
Q: Why are specialty DRAM markets becoming more valuable?
A: As major producers shift focus to DDR5 and HBM, supply constraints in DDR4 and older generations create opportunities for alternative suppliers serving stable industrial and consumer markets.
Q: What role do Chinese companies play in the global storage market?
A: Chinese firms are expanding in niche DRAM, NAND module assembly, and NOR flash markets. Supported by policy incentives and growing technical expertise, they’re gaining market share domestically and internationally.
Q: Is 3D DRAM replacing traditional memory?
A: While not fully replacing conventional DRAM yet, 3D-stacked architectures like HBM are becoming essential for high-performance computing and AI workloads due to superior bandwidth and efficiency.
Q: How will edge AI affect future storage needs?
A: Edge AI requires compact, low-power, high-reliability memory solutions. This favors customized DRAM and flash designs optimized for specific use cases in smart devices, vehicles, and sensors.
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Conclusion
The confluence of AI adoption, geopolitical dynamics, and domestic innovation is reshaping the global storage industry. While market cycles will continue to influence pricing and availability, long-term trends point toward sustained growth—especially in high-performance, specialized memory segments.
For China’s semiconductor sector, the path forward lies in leveraging policy support, capturing underserved market niches, and advancing packaging and integration technologies. As AI becomes embedded across industries, the demand for intelligent, efficient, and secure storage solutions will only intensify—offering vast opportunities for forward-thinking players in the evolving digital economy.