High performance computing was a $11.4 billion market in 2015

IDC presented its annual HPC (High Performance Computing – aka big and small supercomputers) Update

11 percent revenue growth to $11.4 billion in 2015, Projected 5.9% average from 2015 to 2020

Self built supercomputers like the current world’s largest the 93 petaflop Sunway do not fit into the IDC structure. They only track computers that are built and then sold to someone else.

HPE/HP (2015 sales) led the pack of ten named supercomputer suppliers with $1.2B.
Cray was nearest ($583M)
Lenovo ($391M),
NEC ($138M),
Fujitsu ($106M),
SGI ($88M),
Dell ($54M),
Bull Atos ($41M)
Sugon ($13M)
Other’ category was actually third with $422M.

IDC recently begun characterizing HPDA in four categories:

  • Fraud and anomaly detection. This “horizontal” workload segment centers around identifying harmful or potentially harmful patterns and causes using graph analysis, semantic analysis, or other high performance analytics techniques. The patterns may point to fraud, which is the deceptive exploitation or annotation of data for wrongful or illegal personal gain, or they may point to cyber security crime or insider threats, significant errors, or other anomalies that may deserve further investigation.
  • Marketing. This segment covers the use of HPDA to promote products or services, typically using complex algorithms to discern potential customers’ demographics, buying preferences and habits.
  • Business intelligence. The workload segment uses HPDA to identify opportunities to advance the market position and competitiveness of businesses, by better understanding themselves, their competitors, and the evolving dynamics of the markets they participate in.
  • Other Commercial HPDA. This catchall segment includes all commercial HPDA workloads other than the three just described. Over time, IDC expects some of these workloads to become significant enough to split out of this “other” category and command their own segments. An example of such a high-potential workload is the use of HPDA to manage large IT infrastructures, ranging from on premise data centers to public clouds and Internet-of-Things (IoT) infrastructures.