Market Research Report
Enterprise High Performance Computing - Traditional and AI-Focused HPC Compute, Storage, Software and Services: Market Analysis and Forecasts
|Published by||Tractica||Product code||644721|
|Published||Content info||74 Pages; 136 Tables, Charts & Figures
Delivery time: 1-2 business days
|Enterprise High Performance Computing - Traditional and AI-Focused HPC Compute, Storage, Software and Services: Market Analysis and Forecasts|
|Published: May 29, 2018||Content info: 74 Pages; 136 Tables, Charts & Figures||
Over the past two decades, enterprises have realized the value of using clusters of computers to solve complex mathematical, computational, and simulation/modeling problems. By addressing these massive problems using parallel computing techniques (allowing the problem to be split into parts that can be tackled by individual or groups of processors), the time to complete a solution can be drastically reduced. However, as enterprises have become more focused on automating manual processes, as well as incorporating some degree of cognition or intelligence into their systems, it has become clear that these processes require the ingestion and analysis of large amounts of data, and single workstation or server-based processing would simply lack the speed and power to provide results in a reasonable amount of time.
Tractica forecasts that the overall market for enterprise high performance computing (HPC) hardware, software, storage, and networking equipment will reach $31.5 billion annually by 2025, an increase from approximately $18.8 billion in 2017. The market is currently dominated by HPC equipment utilized for traditional use cases, or situations in which an HPC system is used for heavy-duty number crunching, simulation, and analysis, techniques that require the brute force of cluster computing to reduce the time to complete complex calculations. In these cases, HPC is not used to support any artificial intelligence (AI)-related techniques, such as machine learning, deep learning, or natural language processing. Tractica projects that while AI-focused HPC use cases will account for just 7.4% of the overall segment revenue in 2017, that percentage will increase to 35.4% by the end of the forecast period. Essentially, while revenue from traditional HPC activities will remain larger than revenue from HPC AI use cases, the latter segment is growing significantly more rapidly.
This Tractica report examines the market trends and technology issues surrounding high-performance computing and provides revenue forecasts for compute and storage, software, and services during the period from 2017 through 2025. HPC use cases and applications are analyzed in depth, and the report also includes detailed profiles of 11 key industry players. Market forecasts for compute and storage, software, and services, are segmented by world region and industry, across 18 traditional HPC use cases and 30 AI-based HPC use cases.