IDC forecasts spend to grow 15.4% in 2024 to $232B – then add another $100B in three years
"Edge computing will play a pivotal role in the deployment of AI applications," wrote IDC analyst Dave McCarthy."To meet the scalability and performance requirements, organizations will need to adopt the distributed approach to architecture that edge computing provides. OEMs, ISVs, and services are taking advantage of this market opportunity to enable AI in edge locations.
If those numbers seem high, that's because IDC defines edge as encompassing 19 industries, over 500 enterprise use cases, plus hardware, software, and services. Edge computing matters to AI because the big GPU clusters used to train big models are built for that job – not for powering AI applications. Latency means it's nearly always better to put infrastructure closer to users, and as AI applications don't need the massive power of a GPU cluster, edge infrastructure has an important role to play.large quantities of GPUs across its content delivery network to serve machine learning workloads and even large language models to end users.
These developments are expected to drive investments in edge compute over the next five years, with IDC forecasting a CAGR in the low-to-mid teens across all 19 industries tracked by the report. In terms of geography, analysts expect most of it to be centered in North America, Western Europe, and China. However, analysts note that the Chinese, African, and Middle Eastern markets are poised to grow the fastest over the next five years. ®Tencent explores a future where HPC, quantum, cloud and edge have convergedIceotope cooks plan for liquid-cooled servers at the edge
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