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市场调查报告书
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1425044

超级电脑市场 - 2024 年至 2029 年预测

Supercomputers Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 149 Pages | 商品交期: 最快1-2个工作天内

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简介目录

超级电脑市场预计将从2022年的72.56亿美元成长到2029年的132.73亿美元，复合年增长率为9.01%。

超级电脑是一种极为强大的电脑器，它利用组织成运算节点的多个 CPU 来解决复杂的问题。它们使用高速互连进行通讯，通常由数万个节点组成。超级电脑最初于 20 世纪 60 年代开发，最初由美国政府资助用于军事目的。超级电脑市场的成长是由寻求先进决策能力的资料主导组织以及 BFSI 和国防等各个行业与供应商合作以获得先进处理能力所推动的。

BFSI 领域的自动化正在推动超级电脑市场的成长。

BFSI 产业正在与供应商合作，以实现流程自动化并投资研究计划，以帮助扩大超级电脑市场。例如，2021 年 12 月，OTP Group 与 SambaNova Systems 合作开发了一款基于人工智慧的超级电脑，旨在为金融服务提供动力。该合作伙伴关係得到了创新和技术部的支持，旨在向公共、私立和高等教育机构提供此解决方案。超级电脑在即时付款诈骗侦测中发挥关键作用。为了打击诈欺，万事达卡和 Visa 等金融巨头正在投资高效能运算并利用机器学习来改善其诈欺侦测系统。

巨量资料分析的成长正在推动超级电脑市场的扩张。

对超级电脑的需求是由以资料中心的公司推动的，这些公司寻求增强决策能力并获得竞争优势。世界各国政府都在投资高效能运算，用于各种计划的资料处理和分析，为超级电脑市场的扩张做出了贡献。 2023 年 3 月，英国首相宣布将投资约 9 亿英镑用于尖端的「百亿亿百万兆级」超级电脑和专用人工智慧研究资源。这笔资金将显着提高英国的运算能力，并促进气候变迁、药物研发和人工智慧进步的研究，造福社会和经济。

云端处理创新将推动超级电脑产业的成长。

边缘运算的普及将从各种来源产生大量新资料集。超级电脑在处理和分析大资料集发挥着至关重要的作用，重点是边缘运算、巨量资料分析和人工智慧整合。 2022年10月，英国巴斯大学推出了一款新的云端基础的超级电脑Nimbus，专门託管在微软的Azure云端平台上。此举使其成为英国第一所将所有高效能运算 (HPC) 工作负载转移到云端的大学。

预计亚太地区将主导市场

由于亚太地区主要经济体技术创新的增加，预计亚太地区超级运算领域将显着成长。中国已成为世界超级电脑。印度国家超级运算任务（NSM）透过显着提高该国的运算能力和基础设施，在推动超级电脑市场的成长方面发挥关键作用。在 NSM 的支持下，印度已在全国成功安装了 24.83 petaflops (PF) 的高效能运算 (HPC) 机器，超过了 15-20 PF 的原定目标。

高昂的初期成本可能会阻碍超级电脑市场的成长。

虽然超级电脑提供大量的运算能力，但它们面临一些挑战，包括高成本。这些系统的设计、建置和维护成本非常昂贵，自订硬体和软体增加了初期成本。电力、冷却和维护等持续营运成本进一步增加了总拥有成本。这种过高的价格设定是一个主要障碍，阻碍了超级电脑在各个领域的广泛普及和市场成长。

企业产品

  • IBM Watson：IBM Watson 是一款由人工智慧驱动的超级电脑，以其先进的「问答」功能而闻名。它透过自然语言处理（NLP）来实现这一点，自然语言处理可以理解人类的书面和口头语言。 Watson 利用庞大的结构化和非结构化资料资料，并部署机器学习来持续提升效能。它擅长进行深度分析，超越关键字匹配来识别模式和趋势。 Watson 可以针对特定领域进行定制，支援开放集成，并促进跨学科的人机协作。
  • 超级电脑「富岳」：超级电脑「富岳」由理化学研究所和富士通历时七年共同开发，于2021年3月9日完成。这一尖端系统代表了高效能运算领域的重大成就。同时，共享使用已成为可能，为学术界和工业界的研究人员和使用者打开了大门。 Fugaku 出色的处理能力和性能有望促进各领域的创新和科学突破。

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表

第二章调查方法

  • 调查资料
  • 先决条件

第三章执行摘要

  • 研究亮点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 市场机会
  • 波特五力分析
  • 产业价值链分析

第五章超级电脑市场：依类型

  • 介绍
  • 一般使用
  • 特殊目的

第六章超级电脑市场：按组成部分

  • 介绍
  • 硬体
  • 软体

第七章超级电脑市场：依应用分类

  • 介绍
  • AI
  • 机器学习
  • 资料分析
  • 其他的

第 8 章超级电脑市场：依最终使用者划分

  • 介绍
  • 车
  • 政府
  • 製造业
  • 航太
  • 其他的

第九章超级电脑市场：按地区

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他的
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 西班牙
    • 其他的
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 其他的
  • 亚太地区
    • 中国
    • 日本
    • 韩国
    • 印度
    • 澳洲
    • 其他的

第十章竞争环境及分析

  • 主要企业及策略分析
  • 新兴企业和市场盈利
  • 合併、收购、协议和合作
  • 供应商竞争力矩阵

第十一章 公司简介

  • Hewlett Packard Enterprise
  • IBM
  • Fujitsu Limited（Furukawa Group）
  • Lenovo Group Limited
  • Dell Inc.
  • Cisco
简介目录
Product Code: KSI061616072

The supercomputers market is expected to grow at a CAGR of 9.01% from US$7.256 billion in 2022 to US$13.273 billion in 2029.

Supercomputers are extremely powerful computing machines that utilize multiple CPUs, organized into compute nodes, to solve complex problems. They rely on high-speed interconnects for communication and often consist of tens of thousands of nodes. Supercomputers were first developed in the 1960s, initially for military purposes and funded by the US government. The supercomputer market growth is rising as data-driven organizations seek enhanced decision-making capabilities, with various industries like BFSI and defense partnering with vendors for advanced processing power.

Automation in the BFSI sector bolsters the Supercomputer market growth.

The BFSI industry is collaborating with vendors to automate processes and invest in research projects, driving the expansion of the supercomputer market. For instance, in December 2021, OTP Group entered a partnership with SambaNova Systems to develop an AI-based supercomputer aimed at enhancing financial services. The collaboration, supported by the Ministry for Innovation and Technology, intends to make this solution accessible to public, private, and higher education institutions. Supercomputers play a vital role in real-time payment fraud detection. To combat fraud financial giants like Mastercard and Visa are investing in high-performance computing and leveraging machine learning to enhance fraud detection systems.

The big data analytics growth drives the supercomputer market expansion.

The demand for supercomputers is being driven by data-centric enterprises seeking to enhance decision-making and gain a competitive edge. Governments worldwide are investing in HPC to process and analyze data for various projects, contributing to the expansion of the supercomputer market. In March 2023, the UK Chancellor announced an investment of approximately £900 million for a cutting-edge 'exascale' supercomputer and a dedicated AI Research Resource. This funding will significantly boost the country's computing capacity, enabling research into climate change, drug discovery, and AI advancement, benefiting society and the economy.

Innovations in cloud computing drive the supercomputer industry growth.

The proliferation of edge computing is generating vast new datasets from various sources. Supercomputers play a pivotal role in processing and analyzing large datasets, with a focus on integrating edge computing, big data analytics, and artificial intelligence. In October 2022, The University of Bath in the UK introduced a new cloud-based supercomputer called Nimbus, hosted entirely on Microsoft's Azure cloud platform. This move makes the university the first in the UK to transition all possible high-performance computing (HPC) workloads to the cloud.

Asia-Pacific is projected to dominate the market.

The Asia-Pacific region is expected to witness significant growth in the field of supercomputing owing to the increased technological innovation in major APAC economies. China has emerged as a global supercomputing powerhouse, with a substantial number of the world's most powerful supercomputers located in the country. India's National Supercomputing Mission (NSM) is playing a pivotal role in driving the growth of the supercomputer market by significantly enhancing the country's computing power and infrastructure. Under NSM, India has successfully installed 24.83 petaflops (PF) of High-Performance Computing (HPC) machines across the nation, surpassing the initial goal of 15-20 PF.

The high upfront cost may hinder the supercomputer market growth.

Supercomputers, while offering immense computational power, face several challenges, including high costs. These systems are exceptionally expensive to design, build, and maintain, with custom hardware and software adding to upfront expenses. Ongoing operational costs, including power, cooling, and maintenance, further escalate the total cost of ownership. This exorbitant price tag often acts as a significant barrier, hindering the broader adoption and market growth of supercomputers across various sectors.

Key Developments

  • July 2023: Abu Dhabi-based AI and cloud computing company G42, in collaboration with US-based AI firm Cerebras Systems introduced the "world's largest supercomputer" called Condor Galaxy. This network of nine interconnected supercomputers aims to accelerate AI model training and address challenges in healthcare, energy, and climate action. The goal is to create a 36-exaflop distributed AI supercomputer, significantly advancing research and applications across industries, particularly in solving complex problems such as drug development, resource exploration, and weather forecasting.
  • March 2023: NVIDIA launched DGX Cloud, an AI supercomputing service that grants enterprises access to infrastructure and software for training advanced AI models. This service combines NVIDIA DGX AI supercomputing with NVIDIA AI software, enabling companies to utilize their AI supercomputer through a web browser without dealing with on-premises infrastructure complexities. Notable companies like Amgen, CCC Intelligent Solutions, and ServiceNow have already adopted DGX Cloud for various AI applications. Amgen utilizes DGX Cloud for drug discovery, CCC employs DGX Cloud to enhance its AI models for insurance solutions, while ServiceNow combines DGX Cloud with on-premises DGX supercomputers for AI research.
  • May 2023: Lenovo collaborated with the Leibniz Supercomputing Centre (LRZ) to develop Europe's inaugural High-Performance Computer (HPC) prototype in an innovation partnership. Lenovo, along with another technology company, will create prototypes optimized for diverse scientific needs at LRZ. The project is supported by funding of 125 million euros from the Federal Ministry of Education and Research and the State of Bavaria aiming to become an exascale center for Supercomputing.

Company Products

  • IBM Watson: IBM Watson is an AI-powered supercomputer renowned for its advanced "question-answering" abilities. It achieves this through Natural Language Processing (NLP), comprehending human language in written and spoken forms. Watson taps into a vast knowledge base, including structured and unstructured data, and deploys machine learning to continually enhance its performance. It excels in deep analytics, identifying patterns and trends beyond keyword matching. Watson can be tailored for specific domains, supports open integration, and fosters human-AI collaboration across diverse sectors.
  • The supercomputer Fugaku: Fugaku, a supercomputer developed through a collaborative effort between RIKEN and Fujitsu over seven years, reached its completion milestone on March 9, 2021. This cutting-edge system marked a significant achievement in high-performance computing. Simultaneously, it was made accessible for shared use, opening doors for researchers and users across academia and industry. Fugaku's remarkable processing power and capabilities promise to drive innovation and scientific breakthroughs across diverse fields.

Segmentation

By Type

  • General Purpose
  • Special Purpose

By Component

  • Hardware
  • Software

By Application

  • AI
  • Machine Learning
  • Data Analytics
  • Others

By End User

  • Automotive
  • Government
  • Manufacturing
  • Aerospace
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • UK
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • South Korea
  • India
  • Australia
  • Other

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Assumptions

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Market Opportunities
  • 4.4. Porter's Five Force Analysis
    • 4.4.1. Bargaining Power of Suppliers
    • 4.4.2. Bargaining Power of Buyers
    • 4.4.3. Threat of New Entrants
    • 4.4.4. Threat of Substitutes
    • 4.4.5. Competitive Rivalry in the Industry
  • 4.5. Industry Value Chain Analysis

5. SUPERCOMPUTERS MARKET ANALYSIS, BY TYPE

  • 5.1. Introduction
  • 5.2. General Purpose
  • 5.3. Special Purpose

6. SUPERCOMPUTERS MARKET ANALYSIS, BY COMPONENT

  • 6.1. Introduction
  • 6.2. Hardware
  • 6.3. Software

7. SUPERCOMPUTERS MARKET ANALYSIS, BY APPLICATION

  • 7.1. Introduction
  • 7.2. AI
  • 7.3. Machine Learning
  • 7.4. Data Analytics
  • 7.5. Others

8. SUPERCOMPUTERS MARKET ANALYSIS, BY END-USER

  • 8.1. Introduction
  • 8.2. Automotive
  • 8.3. Government
  • 8.4. Manufacturing
  • 8.5. Aerospace
  • 8.6. Others

9. SUPERCOMPUTERS MARKET ANALYSIS, BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. USA
    • 9.2.2. Canada
    • 9.2.3. Mexico
  • 9.3. South America
    • 9.3.1. Brazil
    • 9.3.2. Argentina
    • 9.3.3. Others
  • 9.4. Europe
    • 9.4.1. Germany
    • 9.4.2. UK
    • 9.4.3. France
    • 9.4.4. Spain
    • 9.4.5. Others
  • 9.5. Middle East and Africa
    • 9.5.1. Saudi Arabia
    • 9.5.2. UAE
    • 9.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. China
    • 9.6.2. Japan
    • 9.6.3. South Korea
    • 9.6.4. India
    • 9.6.5. Australia
    • 9.6.6. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Emerging Players and Market Lucrativeness
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Vendor Competitiveness Matrix

11. COMPANY PROFILES

  • 11.1. Hewlett Packard Enterprise
  • 11.2. IBM
  • 11.3. Fujitsu Limited (Furukawa Group)
  • 11.4. Lenovo Group Limited
  • 11.5. Dell Inc.
  • 11.6. Cisco

Not an exhaustive list