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AI data centre chip demand to reach $151B in 2029
EP&T Magazine
Automation / Robotics Electronics Semiconductors Engineering AI chip semiconductorsGrowth slows sharply beyond 2026, says Omdia
The current hypergrowth in GPUs and other accelerator chips for AI in the cloud and the data centre will eventually slow down, but not until it has transformed the industry, finds the latest forecast released by research group Omdia. The market has grown from just under $10-billion in 2022 to $78-billion this year, and Omdia expects it will eventually reach $151B in 2029. However, there is likely to be a distinct inflection point in 2026, with a shift from technology adoption to change in demand for AI applications as the driver of growth.
“The most significant change is the upward revision of the underlying data center semiconductor market driven by growth in AI. Beyond that, we’re noticing hyperscalers’ custom chips, especially Google’s TPUs, starting to capture market share from GPUs. We expect them to be increasingly important,” said Alexander Harrowell, principal analyst for advanced computing, Omdia.
“The size of the biggest AI models has not advanced since January 2021, and the focus of innovation has shifted to a much greater variety of smaller ones,” Harrowell continued. “There are also signs that models of similar size are becoming more efficient generation on generation. This is a headwind for investment in AI infrastructure, although it also permits more organizations to get involved, which tends to make up in breadth what is lost in depth. Over time, inference is going to become much more important. We expect a growing user base and fleet of applications to require more inference infrastructure.”