Market Research Report
High Performance Computing for Artificial Intelligence Applications: 30 AI-Focused Use Cases across 12 Industry Verticals - Global Market Analysis and Forecasts
|Published by||OMDIA||Product code||941818|
|Published||Content info||52 Pages; 36 Tables, Charts & Figures
Delivery time: 1-2 business days
|High Performance Computing for Artificial Intelligence Applications: 30 AI-Focused Use Cases across 12 Industry Verticals - Global Market Analysis and Forecasts|
|Published: June 12, 2020||Content info: 52 Pages; 36 Tables, Charts & Figures||
Enterprise-focused high performance computing (HPC) systems aggregate or combine compute power so that the combined system can deliver much higher performance than a single large workstation. Common HPC tasks include conducting digital simulations, stress testing, and enabling extremely high speed, high frequency trading activities. By addressing these massive problems using parallel computing techniques, the time to complete a solution can be drastically reduced.
Increasingly, these workloads are focused on the use of analytics, machine learning (ML), deep learning (DL), computer vision (CV), and natural language processing (NLP)-the technology methods that power what is known as artificial intelligence (AI). Combined with high speed networking architecture and vast storage systems, enterprises can address a number of AI-based use cases via HPC clusters. As enterprises migrate from small, proof-of-concept programs to enterprise-wide rollouts, the need for a high performance compute and storage environment becomes clear. Omdia forecasts that global AI-focused enterprise software revenue will rise from $89.5m annually in 2020 to $626.6m in 2025.
This Omdia Market Report looks at the drivers, barriers, outlook, key players, and use cases for AI-focused HPC software in the enterprise. The report also addresses the impact of the global COVID-19 pandemic on the HPC market. Global AI-focused HPC software revenue forecasts, segmented by industry, geography, and use case, extend through 2025. Omdia identifies 30 AI use cases across 12 industries that will utilize HPC software resources between 2020 and 2025 and provides an in-depth analysis of the top 14 use cases in terms of cumulative revenue.