Each quarter for the last 27 years, Hyperion Research analysts have conducted interviews with major hardware original equipment manufacturers (OEMs) in the technical computing space to gather information on their quarterly sales. Specifically, Hyperion collects data on the number of HPC systems sold, system revenue, system average selling price (ASP), the price band segment that a system falls into, architecture of the system, average number of processor packages per system, average number of nodes for each system sold, system revenue distribution by geographical regions, the use of coprocessors, and system revenue distribution by operating systems. The analysts complement this supply-side data with extensive and intensive worldwide demand-side surveys of HPC user organisations to verify their HPC resources and purchasing plans in detail.
The 2016 year-over-year market gain was driven by strong revenue growth in high-end and midrange HPC server systems, partially offset by declines in sales of lower-priced systems:
2016 fourth-quarter revenues for the whole market grew 7.4% over the prior-year fourth quarter to reach $3.1 billion, while Supercomputers segment fourth-quarter revenues were up 45.6% over the same period in 2015. Hyperion Research expects the worldwide HPC server market to grow at a healthy 7.8% rate (CAGR) to reach $15.1 billion in 2020.
"HPC servers have been closely linked not only to scientific advances but also to industrial innovation and economic competitiveness. For this reason, nations and regions across the world, as well as businesses and universities of all sizes, are increasing their investments in high performance computing", stated Earl Joseph, CEO of Hyperion Research. "In addition, the global race to achieve exascale performance will drive growth in high-end supercomputer sales."
"Another important factor driving growth is the market for big data needing HPC, which we call high performance data analysis, or HPDA", according to Steve Conway, Hyperion Research senior vice president for research. "HPDA challenges have moved HPC to the forefront of R&D for machine learning, deep learning, artificial intelligence, and the Internet of Things."
Vendor highlights include: