TrendForce Raises Memory Market Forecast to $1.28 Trillion Due to AI Agents

TrendForce has revised its 2027 memory market forecast from $842.7 billion to $1.28 trillion. The 52% increase is driven by explosive demand for memory from AI agents, which require enormous volumes for computations and caching.

Why the estimate jumped by $437 billion

The main driver is AI agent expansion. TrendForce detected a sharp surge in demand for memory for inference, training, and caching of large language models. As companies massively deploy Operator from OpenAI, Claude from Anthropic, Gemini from Google, and proprietary solutions, memory load grows exponentially. In January, analysts expected gradual market growth of 5–7% annually. But data from memory manufacturers showed demand outpacing forecasts by nearly a year — a signal to recalculate everything. The result was a radical jump in numbers.

Historically, the memory market has been conservative — manufacturers plan capacity years ahead, and forecast revisions are rare. A 52% revision in a forward period is virtually a revolution in the segment. For context: if the market truly grows 52%, this will be the largest single-year increase in semiconductor industry history over the past 50 years. The chip market typically grows 5–15% annually in good years and falls 20–30% in crises. A 52% jump in one year signals that the AI era is not just hype, but a fundamental demand shift.

What consumes memory in AI agents

An AI agent is not a single model, but an entire system. Here are the main memory consumers:

• Context caching: LLMs with 128K-token windows hold entire conversations in memory for fast responses
• GPU memory: HBM3E and GDDR6X for inference on accelerators (NVIDIA H200, AMD MI300X)
• Model parameters: 70-billion-parameter models require up to 300 GB of memory alone
• Fast cache: SSDs and RAM for instant data access instead of network requests
• Agent state: when a browser agent runs for hours, its internal state grows

When a dozen such systems run simultaneously on one server, memory requirements grow geometrically — not linearly, but squared.

Who wins

Samsung, SK Hynix, Micron, and Kioxia view this forecast as a historic opportunity. If the memory market truly grows 52%, that's roughly $437 billion in additional revenue. That money can build new fabs, upgrade equipment, and boost output. Particularly, HBM (High Bandwidth Memory) manufacturers will benefit — specialized memory for AI accelerators. HBM demand already exceeds supply, and prices are rising. Whoever lands contracts from NVIDIA, Intel, and AMD is buying the future.

Where forecasts might miss

TrendForce rarely misses vertical forecasts, but the memory market is full of surprises. Data compression — like LORA approaches or new model architectures — could lower memory demands. Or if cloud providers switch to more efficient caching strategies, growth could slow. Additionally, if geopolitical conflict occurs or chip export sanctions (like with Huawei) are imposed, demand could plummet.

What this means

The memory market is exiting an era of stable growth and entering an era of exponential growth. PCs and smartphones grew it 5–10% annually — dull, predictable, often even declining. AI agents double demand in months and reshape the investment climate. Good for memory manufacturer shareholders, bad for their customers — cloud providers and enterprises (memory gets expensive). And risky long-term — if AI agent demand slows or a data compression breakthrough happens, there will be oversupply and price collapse. But for the next 2–3 years, TrendForce is confident: memory will be on fire. If the forecast holds, it will be the fastest memory market jump in history.