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商品編碼

1425044

超級電腦市場 - 2024 年至 2029 年預測

Supercomputers Market - Forecasts from 2024 to 2029

出版日期: 2024年01月25日 | 出版商:

Knowledge Sourcing Intelligence | 英文 149 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

超級電腦市場預計將從2022年的72.56億美元成長到2029年的132.73億美元，複合年成長率為9.01%。

超級電腦是一種極為強大的電腦器，它利用組織成運算節點的多個 CPU 來解決複雜的問題。它們使用高速互連進行通訊，通常由數萬個節點組成。超級電腦最初於 20 世紀 60 年代開發，最初由美國政府資助用於軍事目的。超級電腦市場的成長是由尋求先進決策能力的資料主導組織以及 BFSI 和國防等各個行業與供應商合作以獲得先進處理能力所推動的。

BFSI 領域的自動化正在推動超級電腦市場的成長。

BFSI 產業正在與供應商合作，以實現流程自動化並投資研究計劃，以幫助擴大超級電腦市場。例如，2021 年 12 月，OTP Group 與 SambaNova Systems 合作開發了一款基於人工智慧的超級電腦，旨在為金融服務提供動力。該合作夥伴關係得到了創新和技術部的支持，旨在向公共、私立和高等教育機構提供此解決方案。超級電腦在即時付款詐騙偵測中發揮關鍵作用。為了打擊詐欺，萬事達卡和 Visa 等金融巨頭正在投資高效能運算並利用機器學習來改善其詐欺偵測系統。

巨量資料分析的成長正在推動超級電腦市場的擴張。

對超級電腦的需求是由以資料中心的公司推動的，這些公司尋求增強決策能力並獲得競爭優勢。世界各國政府都在投資高效能運算，用於各種計劃的資料處理和分析，為超級電腦市場的擴張做出了貢獻。 2023 年 3 月，英國首相宣布將投資約 9 億英鎊用於尖端的「百億億百萬兆級」超級電腦和專用人工智慧研究資源。這筆資金將顯著提高英國的運算能力，並促進氣候變遷、藥物研發和人工智慧進步的研究，造福社會和經濟。

雲端處理創新將推動超級電腦產業的成長。

邊緣運算的普及將從各種來源產生大量新資料集。超級電腦在處理和分析大資料集發揮著至關重要的作用，重點是邊緣運算、巨量資料分析和人工智慧整合。 2022年10月，英國巴斯大學推出了一款新的雲端基礎的超級電腦Nimbus，專門託管在微軟的Azure雲端平台上。此舉使其成為英國第一所將所有高效能運算 (HPC) 工作負載轉移到雲端的大學。

預計亞太地區將主導市場

由於亞太地區主要經濟體技術創新的增加，預計亞太地區超級運算領域將顯著成長。中國已成為世界超級電腦。印度國家超級運算任務（NSM）透過顯著提高該國的運算能力和基礎設施，在推動超級電腦市場的成長方面發揮關鍵作用。在 NSM 的支持下，印度已在全國成功安裝了 24.83 petaflops (PF) 的高效能運算 (HPC) 機器，超過了 15-20 PF 的原定目標。

高昂的初期成本可能會阻礙超級電腦市場的成長。

雖然超級電腦提供大量的運算能力，但它們面臨一些挑戰，包括高成本。這些系統的設計、建置和維護成本非常昂貴，自訂硬體和軟體增加了初期成本。電力、冷卻和維護等持續營運成本進一步增加了總擁有成本。這種過高的價格設定是一個主要障礙，阻礙了超級電腦在各個領域的廣泛普及和市場成長。

企業產品

IBM Watson：IBM Watson 是一款由人工智慧驅動的超級電腦，以其先進的「問答」功能而聞名。它透過自然語言處理（NLP）來實現這一點，自然語言處理可以理解人類的書面和口頭語言。 Watson 利用龐大的結構化和非結構化資料資料，並部署機器學習來持續提升效能。它擅長進行深度分析，超越關鍵字匹配來識別模式和趨勢。 Watson 可以針對特定領域進行客製化，支援開放整合，並促進跨學科的人機協作。
超級電腦「富嶽」：超級電腦「富嶽」由理化學研究所和富士通歷時七年共同開發，於2021年3月9日完成。這一尖端系統代表了高效能運算領域的重大成就。同時，共享使用已成為可能，為學術界和工業界的研究人員和使用者打開了大門。 Fugaku 出色的處理能力和性能有望促進各領域的創新和科學突破。

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

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