市場調查報告書

適用於AI (人工知能) 的HPC (高性能計算):12業種與30件專注於AI的利用實例 - 全球市場分析與預測

High Performance Computing for Artificial Intelligence Applications: 30 AI-Focused Use Cases across 12 Industry Verticals - Global Market Analysis and Forecasts

出版商 Omdia | Tractica 商品編碼 941818
出版日期 內容資訊 英文 52 Pages; 36 Tables, Charts & Figures
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適用於AI (人工知能) 的HPC (高性能計算):12業種與30件專注於AI的利用實例 - 全球市場分析與預測 High Performance Computing for Artificial Intelligence Applications: 30 AI-Focused Use Cases across 12 Industry Verticals - Global Market Analysis and Forecasts
出版日期: 2020年06月12日內容資訊: 英文 52 Pages; 36 Tables, Charts & Figures
簡介

針對Enterprise(大企業)的HPC系統提供了匯總或合併計算能力,更可以提供比單個大型工作站更高的性能。使用並行計算技術處理大型任務可以大大減少解決方案的完成時間。特別是在人工知能 (AI)與相關的各個功能 - 分析工具、機器學習 (ML)、深度學習 (DL)、計算機視覺 (CV)、自然語言處理 (NLP) - 等方面的活用與任務處理已經成為主流。通過將高速網絡體系結構與龐大的存儲系統相結合,企業可以使用複合的HPC來達到AI的實際使用案例。全球專注於AI的企業軟體的市場價值在2020年已有8950萬美金,預測在2025年將會達到6億2660萬美金的規模。

本報告是分析適用於AI (人工知能) 的HPC (高性能計算)的市場現況與活用案例,包含系統概要與功能、主要的促進與阻礙市場成長因素、在技術與法規層面的課題、主要的活用領域與代表案例 (共30件包含12業種)、主要企業概說、市場規模動向、新冠肺炎 (Covid-19)擴大的影響等資訊情報。

目錄

執行摘要

市場課題

  • 以AI為中心的HPC公司
    • 專注於AI的企業HPC
  • 高性能計算 (HPC) 環境
    • 內部部署的HPC環境
    • 雲端服務
    • HPCaaS - 「服務性的」HPC
    • 混合部署方法
  • 促進市場成長因素
    • 人工智能工作量增加
    • HPC性價比提高
    • 邊緣計算中更多地使用AI
    • 對提高生產率、質量、效率和個性化的需求日益增長
  • 阻礙市場成長因素
    • 本地HPC解決方案的高成本
    • 雲端服務的潛在瓶頸
    • HPC系統
    • 數據可訪問性問題
    • 安全問題
  • 法規上的問題

實際案例

  • 導論
    • 計算機藥物的發現和功效
      • 石油生產優化
      • 擴張/虛擬現實 (AR/VR) 開發
      • 影像監控
      • 圖片內容查詢
      • 模擬AI培訓世界
      • 生物標誌物發現
      • 品質監控
      • 機器/車輛對像
      • 檢測/識別/迴避
      • 基因組數據的映射和分析
      • 個性化醫學和精密醫學
      • 根本原因分析
      • 音訊/影像分析
      • 氣象預報
      • 預測保安

技術問題

  • 將超級計算機的力量帶入企業
  • HPC環境要素
  • HPC系統架構
    • 並行系統
    • 集成
  • 教育與研究機關與公司的差別
  • HPC系統
    • 處理能力與系統規模
    • 網路互連
    • 功耗和效率
  • 軟體
    • OS (系統環境)
    • Cluster軟體
    • 排程軟體
    • 中間體
  • AI應用
  • 通訊協議
    • 並行虛擬機與MPI (消息傳遞界面)
    • Hadoop
    • COMA (Cache-only memory architecture)
    • NUMA (Non-uniform memory access)
    • ヵ⑦ЪЮ

主要企業

  • 概述
  • Altair
  • Amazon
  • Bright Computing
  • Dell Technologies
  • Google Cloud
  • Hewlett Packard Enterprise
  • IBM
  • Lenovo
  • Mellanox Technologies
  • Microsoft
  • Panasas
  • Penguin Computing
  • Pure Storage
  • Verne Global
  • 其他公司

市場預測

  • 預測方法
  • AI企業HPC軟體市場總收入:按業種區別
  • AI企業HPC軟體市場總收入:按實際案例區別
  • 重視AI企業HPC軟體市場總收入:按地域區別
  • 重視AI企業HPC軟體市場總收入:按實際案例區別
  • 建議
目錄
Product Code: EHPC-20

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.

Key Questions Addressed:

  • How are HPC systems being deployed by enterprises utilizing AI solutions?
  • How are vendors responding in terms of how they market, sell, and deliver solutions?
  • Which licensing models are most commonly used by enterprises to purchase HPC software?
  • Which industries and AI use cases will utilize HPC software the most, and how will this mix vary among world regions?
  • What challenges are affecting the use of HPC solutions to handle AI workloads?
  • How are regulations, privacy concerns, and data security issues affecting the way HPC solutions are delivered and sold?

Who Needs This Report?

  • AI technology companies
  • Enterprise IT professionals/CTOs
  • HPC solutions providers
  • Software companies
  • Service providers and systems integrators
  • Industry organizations
  • AI and HPC consultants
  • Investor community

Table of Contents

Executive summary

  • Introduction
  • Market drivers
  • Market barriers
  • Key use cases
  • Market forecast highlights
  • Key takeaways

Market Issues

  • AI-focused HPC in the enterprise
    • AI-focused enterprise HPC
  • HPC environments
    • On-premises HPC environments
    • Cloud services
    • HPC as a service
    • Hybrid deployments
  • Market drivers
    • Increasing number of AI workloads
    • Improving performance-to-cost ratio of HPC
    • Increasing use of AI in edge computing deployments
    • Increasing desire for more productivity, quality, efficiency, and personalization
  • Market barriers
    • High cost of on-premises HPC solutions
    • Potential performance bottlenecks with cloud-based
    • HPC systems
    • Data accessibility concerns
    • Security concerns
  • Regulatory issues
    • General Data Protection Regulation
    • Japan's Act on the Protection of Personal Information
    • Cybersecurity Law of China
    • California Consumer Privacy Act

Use Cases

  • Introduction
    • Computational drug discovery and drug effectiveness
      • Oil production optimization
      • AR/VR development
      • Video surveillance
      • Querying image content
      • Simulating worlds for AI training
      • Biomarker discovery
      • Quality monitoring
      • Machine/vehicular object
      • detection/identification/avoidance
      • Genomic data mapping and analysis for
      • personalized healthcare and precision medicine
      • Root cause analysis
      • Audio and video mining
      • Weather forecasting
      • Predictive maintenance

Technology Issues

  • Bringing supercomputer power to the enterprise
  • Components of an HPC environment
  • Architecture of HPC systems
    • Parallel systems
    • Clusters
  • Differences between academic/research and enterprise
  • HPC systems
    • Processing power and system size
    • Network interconnects
    • Power consumption and efficiency
  • Software
    • Operating systems
    • Cluster software
    • Scheduling software
    • Middleware
  • AI applications
  • Communications protocols
    • Parallel virtual machine and message passing interface
    • Hadoop
    • Cache-only memory architecture
    • Non-uniform memory access
    • Containers

Key Industry Players

  • Overview
  • Altair
  • Amazon
  • Bright Computing
  • Dell Technologies
  • Google Cloud
  • Hewlett Packard Enterprise
  • IBM
  • Lenovo
  • Mellanox Technologies
  • Microsoft
  • Panasas
  • Penguin Computing
  • Pure Storage
  • Verne Global
  • Other industry players

Market Forecasts

  • Forecast methodology
  • Total AI enterprise HPC software revenue by industry
  • AI enterprise HPC software revenue by use case
  • AI-focused enterprise HPC software revenue by region
  • AI-focused enterprise HPC software revenue by use case
  • Recommendations

List of Tables

  • Total enterprise HPC revenue by product mix, world markets: 2020-25
  • AI-focused enterprise HPC software revenue by region, world markets: 2020-25
  • Enterprise HPC software revenue, traditional HPC use cases vs. AI use cases, world markets: 2020-25
  • Enterprise HPC software market share by workload mix, world markets: 2020-25
  • AI-focused enterprise HPC software revenue by industry, world markets: 2020-25
  • AI-focused enterprise HPC software revenue by industry, North America: 2020-25
  • AI-focused enterprise HPC software revenue by industry, Europe: 2020-25
  • AI-focused enterprise HPC software revenue by industry, Asia Pacific: 2020-25
  • AI-focused enterprise HPC software revenue by industry, Latin America: 2020-25
  • AI-focused enterprise HPC software revenue by industry, Middle East & Africa: 2020-25
  • AI-focused enterprise HPC software revenue by use case, world markets: 2020-25
  • AI-focused enterprise HPC software revenue by use case, North America: 2020-25
  • AI-focused enterprise HPC software revenue by use case, Europe: 2020-25
  • AI-focused enterprise HPC software revenue by use case, Asia Pacific: 2020-25
  • AI-focused enterprise HPC software revenue by use case, Latin America: 2020-25
  • AI-focused enterprise HPC software revenue by use case, Middle East & Africa: 2020-25
  • HPC AI use cases, listed by revenue
  • Other industry participants

Figures

  • AI-focused enterprise HPC software revenue by region, world markets: 2020-25
  • AI-focused enterprise HPC software revenue by industry, world markets: 2020-25
  • AI-focused enterprise HPC software market share by use case, world markets: 2025
  • AI-focused enterprise HPC software revenue by region, world markets: 2020-25
  • Top 14 AI-focused enterprise HPC software use cases by revenue, world markets: 2020-25
  • Enterprise HPC software revenue, traditional HPC use cases vs. AI use cases, world markets: 2020-25
  • Enterprise HPC software market share by workload mix, world markets: 2020-25
  • AI-focused enterprise HPC software revenue by industry, North America: 2020-25
  • AI-focused enterprise HPC software revenue by industry, Europe: 2020-25
  • AI-focused enterprise HPC software revenue by industry, Asia Pacific: 2020-25
  • AI-focused enterprise HPC software revenue by industry, Latin America: 2020-25
  • AI-focused enterprise HPC software revenue by industry, Middle East & Africa: 2020-25
  • Top 14 AI-focused enterprise HPC software use cases, North America: 2020-25
  • Top 14 AI-focused enterprise HPC software use cases, Europe: 2020-25
  • Top 14 AI-focused enterprise HPC software use cases, Asia Pacific: 2020-25
  • Top 14 AI-focused enterprise HPC software use cases, Latin America: 2020-25
  • Top 14 AI-focused enterprise HPC software use cases, Middle East & Africa: 2020-25
  • Types of AI-focused high performance computing environments