The HPC Cloud Market by Geographic Region and Competitive Segment

According to a recent Hyperion Research study of 115 current and interested QC end-users from both HPC and enterprise IT organizations, the average budget of surveyed QC buyers/users, worth about $3.2 million in 2019, will grow at a 27% CAGR between 2019 and 2024. This growth includes follow-on budget commitments from existing QC users as well as new budget commitments from a tranche of survey respondents who are currently only considering QC involvement. However, the number of organizations that are not yet certain of budget timetables over the next four years remains relatively constant at about 15% of those surveyed. A strong anticipated growth rate in QC end-user budgets implies high expectations for QC developments that can support adequate return on investment or sector-relevant competitive advantage. Current and potential QC users likely will be looking for QC suppliers to roll out a series of steady technological and use case advances that provide assurance that the QC sector is successfully moving to achieve stability, reducing the risk of being an early adopter.

HPC cloud adoption has grown aggressively over the last few years as cloud providers have recognized the HPC market as a high value target and have brought HPC-specific capabilities to their platforms to entice users. This has resulted in growing number of HPC users that are now using external clouds for parts of their HPC workload portfolio.   Hyperion Research has followed the growth vector of cloud adoption for many years and conducted a number of broad studies to better understand the underlying trends of cloud usage. This research has shown that users are contemplating different approaches of cloud adoption including what types of applications to send to the cloud; how much to send to the cloud; and ultimately whether to run a specific workload in the cloud or not.   As the performance capabilities of the cloud for HPC workloads improve, many of the barriers to adoption have been reduced, but some remained consistent barriers despite the technological advancements. These adoption inhibitors may be offset in many situations by the corresponding drivers and benefits. This will lead to increased cloud usage for many HPC applications and workloads in both traditional modeling/simulation as well as artificial intelligence.