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인공지능(AI)용 고성능 컴퓨팅(HPC) : 12개 업종, 30개의 AI 중심 이용 사례 - 세계 시장 분석 및 예측

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

리서치사 Omdia | Tractica
발행일 2020년 06월 상품 코드 941818
페이지 정보 영문 52 Pages; 36 Tables, Charts & Figures
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인공지능(AI)용 고성능 컴퓨팅(HPC) : 12개 업종, 30개의 AI 중심 이용 사례 - 세계 시장 분석 및 예측 High Performance Computing for Artificial Intelligence Applications: 30 AI-Focused Use Cases across 12 Industry Verticals - Global Market Analysis and Forecasts
발행일 : 2020년 06월 페이지 정보 : 영문 52 Pages; 36 Tables, Charts & Figures

본 상품은 영문 자료로 한글과 영문목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

엔터프라이즈(대기업)용 HPC 시스템은 계산능력을 통합 또는 결합하여 하나의 큰 워크스테이션보다 훨씬 높은 성능을 제공할 수 있도록 합니다. 규모가 큰 작업을 병렬 컴퓨팅 기술로 처리함으로써 솔루션 완료 시간을 크게 줄일 수 있습니다. 요즘은 특히 인공지능(AI)이라고 불리는 모든 기능(애널리틱스, 머신러닝(ML), 딥러닝(DL), 컴퓨터 비전(CV), 자연언어처리(NLP))을 활용한 작업 처리가 주류가 되고 있습니다. 고속 네트워킹 아키텍처와 광대한 스토리지 시스템을 결합하여 기업은 HPC 클러스터를 통해 AI 기반의 많은 사례에 대응할 수 있습니다. 세계의 AI 중심 엔터프라이즈 소프트웨어 시장 매출은 2020년 8,950만 달러에서 2025년에는 6억 2,660만 달러까지 증가할 것으로 예측되고 있습니다.

인공지능(AI) 중심/엔터프라이즈 고성능 컴퓨팅(HPC) 소프트웨어 시장 동향과 활용 사례에 대해 분석했으며, 시스템 개요와 기능, 주요 시장 성장 촉진요인 및 억제요인, 기술/규제 측면 과제, 주요 활용 분야와 대표적 사례(총 30개, 12개 업종), 주요 기업 개요, 시장 규모 동향 전망, 코로나19(Covid-19) 감염 확대의 영향 등의 정보를 정리하여 전해드립니다.

목차

개요

시장의 과제

  • 기업의 AI 중심 HPC
    • AI 중심 엔터프라이즈 HPC
  • 고성능 컴퓨팅(HPC) 환경
    • 온프레미스(On-premise) HPC 환경
    • 클라우드 서비스
    • HPCaaS - 서비스로서의 HPC
    • 하이브리드 전개 방식
  • 시장 성장 촉진요인
    • AI 워크로드의 증가
    • HPC의 성능 및 비용 비율 향상
    • 엣지 컴퓨팅 도입에서의 AI 이용 증가
    • 생산성·품질·효율·개인화 향상 요구 증가
  • 시장 성장 저해요인
    • 온프레미스(On-premise) HPC 솔루션의 높은 비용
    • 클라우드 기반 성능 측면에서의 잠재적인 병목
    • HPC 시스템
    • 데이터 접근성 관련 우려
    • 보안 문제
  • 규제 문제

이용 사례

  • 서론
    • Computational drug discovery와 약효
      • 석유 생산의 최적화
      • 증강현실/가상현실(AR/VR) 개발
      • 비디오 감시
      • 영상 컨텐츠의 쿼리
      • AI 교육을 위한 세계의 시뮬레이션
      • 바이오마커 발견
      • 품질 모니터링
      • 기계/차량 개체
      • 탐지/식별/회피
      • 게놈 데이터 매핑 및 분석
      • 맞춤형 의료 및 정밀의료
      • 근본 원인 분석
      • 오디오/비디오 마이닝
      • 일기예보
      • 예지보전

기술 문제

  • 기업에게 슈퍼 컴퓨터의 파워를 제공
  • HPC 환경의 구성요소
  • HPC 시스템 아키텍처
    • 병렬 시스템
    • 클러스터
  • 교육기관/연구기관과 기업의 차이
  • HPC 시스템
    • 처리 능력과 시스템 규모
    • 네트워크 상호 연결
    • 소비 전력과 효율
  • 소프트웨어
    • OS
    • 클러스터 소프트웨어
    • 스케줄링 소프트웨어
    • 미들웨어
  • AI 애플리케이션
  • 통신 프로토콜
    • 병렬 가상 머신과 MPI(message passing interface)
    • Hadoop
    • COMA(Cache-only memory architecture)
    • NUMA(Non-uniform memory access)
    • 컨테이너

주요 기업

  • 개요
  • Altair
  • Amazon
  • Bright Computing
  • Dell Technologies
  • Google Cloud
  • Hewlett Packard Enterprise
  • IBM
  • Lenovo
  • Mellanox Technologies
  • Microsoft
  • Panasas
  • Penguin Computing
  • Pure Storage
  • Verne Global
  • 기타 기업

시장 예측

  • 예측 방법
  • AI 엔터프라이즈 HPC 소프트웨어 시장 매출 총액 : 업종별
  • AI 엔터프라이즈 HPC 소프트웨어 시장 매출 : 이용 사례별
  • AI 중심 엔터프라이즈 HPC 소프트웨어 시장 매출 : 지역별
  • AI 중심 엔터프라이즈 HPC 소프트웨어 시장 매출 : 이용 사례별
  • 제안
LSH 20.07.06

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

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
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