Morgan Stanley projects memory will grow from 12% to 40% of cloud infrastructure spending by 2030, making it AI's defining new bottleneck.
SK Hynix commands over 50% of the advanced HBM market, while Micron closes the gap with long-term hyperscale HBM supply agreements.
Marvell's CXL memory expansion technology targets a chip market set to double to $2.1 billion, with 75% of revenue tied to data centers.
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Artificial intelligence has been defined by a relentless race for more computing power. Nvidia's (NASDAQ:NVDA) GPUs became the stars of that story because they delivered the horsepower needed to train ever-larger AI models. But every technology boom eventually runs into a new constraint.
According to a recent Morgan Stanley report, that next hurdle isn't computing power — it's memory. As AI models grow larger and inference workloads become more demanding, data centers need far more memory bandwidth and capacity to keep expensive accelerators fed with data. That shift could reshape where hundreds of billions of dollars in AI infrastructure spending flows over the rest of the decade.
Morgan Stanley argues memory is becoming the new bottleneck for AI systems, a phenomenon long known in computing as the "memory wall." GPUs continue getting faster, but they spend more time waiting for data to arrive from memory rather than performing calculations.
The numbers help explain why this matters. Morgan Stanley estimates memory will account for roughly 40% of cloud and data center capital spending by 2030, up from only about 12% today. That increase reflects growing demand across several categories:
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Feeds AI accelerators with massive data throughput
SK Hynix (NASDAQ:SKHY), Micron Technology (NASDAQ:MU), Samsung
Expands memory capacity for inference and larger AI models
Pools and expands memory across AI servers
Marvell Technology (NASDAQ:MRVL), SK Hynix, Micron
Stores AI datasets and checkpoints
Let's put that into perspective. Every dollar hyperscalers spend on AI servers increasingly requires another dollar supporting the memory ecosystem. That broadens the investment opportunity well beyond GPU manufacturers.
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