This IDC study centers on IDC's worldwide revenue forecast for HPDA servers. HPC Big Data activity may employ long-standing methods based on numerical modeling and simulation, newer methods such as large-scale graph analytics, semantic technologies, and knowledge discovery algorithms — or a combination of long-standing and newer methods. IDC forecasts that revenue for HPDA servers will grow robustly (at a 23.5% CAGR) from 2013 to 2018, increasing from $933.8 million in 2013 to $2.7 billion in 2018.
According to Steve Conway, IDC research vice president for High Performance Computing/Data Analysis, "The goal of HPDA activity is typically to maximize insights and innovation by applying both established and newer methods to the same scientific, industrial, or commercial problem, often using the same HPC cluster. In a growing number of cases, however, buyers are acquiring HPC systems for dedicated use on mission-critical, high-performance analytics workloads. Buyers are also turning more often to public and hybrid cloud resources to tackle HPDA problems. Nearly all HPC industry/application segments, along with a growing number of commercial first-time HPC adopters, have potential use cases for HPDA."