市场调查报告书

适用于AI (人工知能) 的HPC (高性能计算):12业种与30件专注于AI的利用实例 - 全球市场分析与预测

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 商品编码 941818
出版日期 内容资讯 英文 52 Pages; 36 Tables, Charts & Figures
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价格
适用于AI (人工知能) 的HPC (高性能计算):12业种与30件专注于AI的利用实例 - 全球市场分析与预测 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日内容资讯: 英文 52 Pages; 36 Tables, Charts & Figures
简介

针对Enterprise(大企业)的HPC系统提供了汇总或合并计算能力,更可以提供比单个大型工作站更高的性能。使用并行计算技术处理大型任务可以大大减少解决方案的完成时间。特别是在人工知能 (AI)与相关的各个功能 - 分析工具、机器学习 (ML)、深度学习 (DL)、计算机视觉 (CV)、自然语言处理 (NLP) - 等方面的活用与任务处理已经成为主流。通过将高速网络体系结构与庞大的存储系统相结合,企业可以使用复合的HPC来达到AI的实际使用案例。全球专注于AI的企业软体的市场价值在2020年已有8950万美金,预测在2025年将会达到6亿2660万美金的规模。

本报告是分析适用于AI (人工知能) 的HPC (高性能计算)的市场现况与活用案例,包含系统概要与功能、主要的促进与阻碍市场成长因素、在技术与法规层面的课题、主要的活用领域与代表案例 (共30件包含12业种)、主要企业概说、市场规模动向、新冠肺炎 (Covid-19)扩大的影响等资讯情报。

目录

执行摘要

市场课题

  • 以AI为中心的HPC公司
    • 专注于AI的企业HPC
  • 高性能计算 (HPC) 环境
    • 内部部署的HPC环境
    • 云端服务
    • HPCaaS - 「服务性的」HPC
    • 混合部署方法
  • 促进市场成长因素
    • 人工智能工作量增加
    • HPC性价比提高
    • 边缘计算中更多地使用AI
    • 对提高生产率、质量、效率和个性化的需求日益增长
  • 阻碍市场成长因素
    • 本地HPC解决方案的高成本
    • 云端服务的潜在瓶颈
    • HPC系统
    • 数据可访问性问题
    • 安全问题
  • 法规上的问题

实际案例

  • 导论
    • 计算机药物的发现和功效
      • 石油生产优化
      • 扩张/虚拟现实 (AR/VR) 开发
      • 影像监控
      • 图片内容查询
      • 模拟AI培训世界
      • 生物标志物发现
      • 品质监控
      • 机器/车辆对像
      • 检测/识别/回避
      • 基因组数据的映射和分析
      • 个性化医学和精密医学
      • 根本原因分析
      • 音讯/影像分析
      • 气象预报
      • 预测保安

技术问题

  • 将超级计算机的力量带入企业
  • HPC环境要素
  • HPC系统架构
    • 并行系统
    • 集成
  • 教育与研究机关与公司的差别
  • HPC系统
    • 处理能力与系统规模
    • 网路互连
    • 功耗和效率
  • 软体
    • OS (系统环境)
    • Cluster软体
    • 排程软体
    • 中间体
  • AI应用
  • 通讯协议
    • 并行虚拟机与MPI (消息传递界面)
    • Hadoop
    • COMA (Cache-only memory architecture)
    • NUMA (Non-uniform memory access)
    • ????

主要企业

  • 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

市场预测

  • 预测方法
  • AI企业HPC软体市场总收入:按业种区别
  • AI企业HPC软体市场总收入:按实际案例区别
  • 重视AI企业HPC软体市场总收入:按地域区别
  • 重视AI企业HPC软体市场总收入:按实际案例区别
  • 建议
目录
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