[시장보고서]세계의 인공지능(AI) 슈퍼컴퓨터 시장 : 컴포넌트별, 전개별, 용도별 및 지역별 예측(-2028년)

세계의 인공지능(AI) 슈퍼컴퓨터 시장 : 컴포넌트별, 전개별, 용도별 및 지역별 예측(-2028년)

Artificial Intelligence (AI) Supercomputer Market by Components (Processors/Compute, Storage, Memory, Interconnects), Deployment (Cloud, On-Premises), Application (Government, Academia and Research, Commercial) and Geography - Global Forecast to 2028

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리서치사 : MarketsandMarkets

발행일 : 2023년 11월

페이지 정보 : 영문 179 Pages

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한글목차

샘플 요청 목록에 추가

조사 범위
조사 대상년도	2019-2028년
기준년	2022년
예측 기간	2023-2028년
검토 단위	금액(100만 달러)
부문	컴포넌트별, 전개별, 용도별, 지역별
대상 지역	북미, 유럽, 아시아태평양 및 기타 지역

AI 슈퍼컴퓨터 시장 규모는 2023년 12억 달러에 달했으며, 2023년에서 2028년까지 CAGR 22.0%로 성장하여 2028년에는 33억 달러에 이를 것으로 예측됩니다. 금융기관에서 사용되는 AI 스파콘 채용은 증가하는 경향이 있습니다. 금융기관은 과거 데이터, 시장 동향, 경제 지표를 분석하여 위험을 평가하고 관리하기 위해 AI 수퍼컴퓨터를 사용합니다. AI 슈퍼컴퓨터는 고급 머신러닝 알고리즘을 채택하여 실시간으로 사기 행위를 감지하는 데 도움이 됩니다. AI 슈퍼컴퓨터는 거래 패턴을 분석하고 부정 행위를 나타낼 수 있는 이상을 파악하여 금융기관과 고객을 모두 보호합니다.

AI 모델은 일반적으로 매우 크고 복잡하며 학습과 실행에 많은 계산 능력이 필요합니다. AI 수퍼컴퓨터는 필요한 계산 능력을 제공하기 위해 수천 개의 GPU(그래픽 프로세싱 유닛)와 CPU(중앙 연산 처리 장치)를 탑재하고 있는 경우가 많습니다. 프로세서는 AI 모델을 훈련하고 실행하는 데 필요한 컴퓨팅 능력을 제공하도록 특별히 설계되었으며 AI 모델이 새로운 데이터에 대한 예측을 수행하는 데 도움이 되는 AI 추론 속도를 높이는 데도 도움이 됩니다. AI 수퍼컴퓨터는 AI 모델을 훈련하고 실행하는 데 병렬 처리를 사용합니다. 이는 AI 모델이 더 작은 단편으로 분할되고 각 단편이 별도의 프로세서에 의해 처리됨을 의미합니다. 이를 통해 AI 모델을 더 빨리 훈련하고 실행할 수 있습니다. 전반적으로 프로세서 및 컴퓨팅은 크고 복잡한 AI 모델을 훈련하고 실행할 수 있기 때문에 AI 슈퍼컴퓨터에 필수적입니다.

AI 슈퍼컴퓨터는 데이터 분석, 예측 모델링 및 의사결정을 위해 AI와 고성능 컴퓨팅의 힘을 활용하여 기업이 경쟁 우위를 확보할 수 있도록 합니다. AI 슈퍼컴퓨터는 혁신, 비용 절감, 데이터 주도 전략의 개발을 촉진하여 결국 비즈니스 성과와 고객 만족도를 높일 수 있습니다.

미국은 예측 기간 동안 북미에서 AI 슈퍼컴퓨터 시장의 최대 점유율 시장 규모를 유지할 것으로 예측됩니다. 이 나라에서 AI 슈퍼컴퓨터 시장의 성장은, 주로 미국의 AI 슈퍼컴퓨터 성장을 촉진하는 정부의 이니셔티브, 민간 부문 투자, 학술 연구의 조합 때문입니다. 미국에는 AI를 혁신적인 장점을 갖춘 견고한 솔루션으로 발전시키는 데 필요한 고급 AI 기술, 혁신 및 이니셔티브가 있습니다. 미국의 AI 슈퍼컴퓨터 시장은 민간 부문에 의해 견인되고 있습니다. IBM Corporation, NVIDIA Corporation, Intel Corporation, Google과 같은 미국 기업들은 새로운 AI 제품과 서비스를 개발 및 배포하기 위해 AI 수퍼컴퓨터에 많은 투자를 하고 있습니다.

본 보고서에서는 세계의 인공지능(AI) 슈퍼컴퓨터 시장에 대해 조사하여, 컴포넌트별, 전개별, 용도별, 지역별 동향 및 시장 진출기업 프로파일 등을 정리했습니다.

서문
시장 역학
밸류체인 분석
고객의 비즈니스에 영향을 미치는 동향 및 혼란
생태계 매핑
Porter's Five Forces 분석
주요 이해 관계자와 구매 기준
사례 연구 분석
기술 분석
무역 분석
요금 분석
특허 분석
규제 상황과 기준
2023-2024년의 주요 컨퍼런스 및 이벤트
가격 분석

제6장 AI 슈퍼컴퓨터 시장, 컴포넌트별

서문
프로세서 및 컴퓨팅
스토리지
메모리
상호연결

제7장 조직 내의 AI 수퍼컴퓨터 배포 유형

서문
클라우드
온프레미스

제8장 AI 슈퍼컴퓨터 시장, 용도별

서문
정부
학술 및 연구
상업

제9장 AI 슈퍼컴퓨터 시장, 지역별

서문
북미
유럽
아시아태평양
기타 지역

제10장 경쟁 구도

개요
대기업이 채용한 주요 전략
시장 점유율 분석(2022년)
수익 분석(2020-2022년)
기업평가 매트릭스(2022년)
스타트업 및 중소기업(SMES)의 평가 매트릭스(2022년)
경쟁 벤치마킹
기업 실적
경쟁 시나리오 및 동향

제11장 기업 프로파일

주요 진출기업
- NVIDIA CORPORATION
- INTEL CORPORATION
- ADVANCED MICRO DEVICES, INC.
- SAMSUNG ELECTRONICS
- MICRON TECHNOLOGY, INC.
- IBM CORPORATION
- META
- DELL INC.
- GOOGLE
- HUAWEI TECHNOLOGIES CO., LTD.
- MICROSOFT
- CEREBRAS
기타 기업
- HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- FUJITSU
- PEZY GROUP
- TESLA
- ATOS SE
- NEC CORPORATION
- ORACLE
- AMAZON WEB SERVICES, INC.
- GROQ, INC.
- MEDIATEK INC.
- GRAPHCORE
- SAMBANOVA SYSTEMS, INC.
- KALRAY
- KNERON, INC.
- ARM LIMITED

제12장 부록

AJY

영문 목차

영문목차

Report Description

Scope of the Report
Years Considered for the Study	2019-2028
Base Year	2022
Forecast Period	2023-2028
Units Considered	Value (USD Million)
Segments	By Components, Deployment, Application and Geography
Regions covered	North America, Europe, Asia Pacific, and Rest of the World

The AI supercomputer market is projected to grow from USD 1.2 billion in 2023 and is expected to reach USD 3.3 billion by 2028, growing at a CAGR of 22.0% from 2023 to 2028. The adoption of AI supercomputers for use in financial institutions is on the rise. Financial institutions use AI supercomputers to assess and manage risk by analyzing historical data, market trends, and economic indicators. AI supercomputers help employ advanced machine learning algorithms to detect fraudulent activities in real-time. They analyze transaction patterns and identify anomalies that may indicate fraudulent behavior, helping to protect both the institution and its customers.

"Processors/Compute in the AI supercomputer market to witness significant growth during the forecast period."

AI models are typically very large and complex, and they require a lot of compute power to train and run. AI supercomputers often have thousands of GPUs (graphics processing units) or even CPUs (central processing units) to provide the necessary compute power. A processor is specially designed to provide the computational power needed to train and run AI models, it also aids in speeding up AI inference which helps the AI model to make predictions on new data. AI supercomputers use parallel processing to train and run AI models. This means that the AI model is divided into smaller pieces and each piece is processed by a separate processor. This allows AI models to be trained and run much faster. Overall, processors/compute are essential for AI supercomputers because they allow them to train and run large and complex AI models.

"Market for commercial application in the AI supercomputer market to witness the fastest growth during the forecast period. "

AI supercomputers enable businesses to gain a competitive edge by harnessing the power of AI and high-performance computing for data analysis, predictive modeling, and decision-making. They facilitate innovation, cost reduction, and the development of data-driven strategies, ultimately leading to improved business outcomes and customer satisfaction.

"US is expected to hold the largest market size in North America region during the forecast period."

US is expected to hold the largest share market size of the AI supercomputer market in North America during the forecast period. The growth of the AI supercomputer market in the country is primarily attributed by the combination of government initiatives, private sector investments, and academic research that drives the growth of AI supercomputers in the US. The country has advanced AI technology, innovations, and initiatives necessary to evolve AI into robust solutions with innovative benefits. The US AI supercomputer market is also being driven by the private sector. Several US companies, such as (IBM Corporation, NVIDIA Corporation, Intel Corporation, and Google, are investing heavily in AI supercomputers to develop and deploy new AI products and services.

By Company Type: Tier 1 - 52%, Tier 2 - 31%, and Tier 3 - 17%
By Designation: C-level Executives - 47%, Directors -31%, and Others - 22%
By Region: North America -36%, Europe - 29%, Asia Pacific- 30%, and RoW - 5%

The report profiles key players in the AI supercomputer market with their respective market ranking analysis. Prominent players profiled in this report include NVIDIA Corporation (US), Intel corporation (US), Advanced Micro Devices, Inc. (US), Samsung Electronics (South Korea), Micron Technology, Inc. (US), IBM Corporation (US), Meta (US) Google (US), Dell Inc. (US), Microsoft (US), Huawei Technologies Co., Ltd. (China) Cerebras (US). Apart from these, Hewlett Packard Enterprise Development LP (US), Fujitsu (Japan), Pezy Group (Netherlands), Tesla (US), Atos SE (France), NEC Corporation (Japan), Oracle (US), Amazon Web Services, Inc. (US), Groq, Inc. (US), MediaTek Inc. (Taiwan), Graphcore (UK), SambaNova Systems Inc. (US), Kalray (France), Kneron Inc. (US), Arm Ltd.(UK), are among a few other key companies in the AI supercomputer market.

Report Coverage

The report defines, describes, and forecasts the AI supercomputer market based on component, application, and region. It provides detailed information regarding drivers, restraints, opportunities, and challenges influencing the growth of the AI supercomputer market. It also analyzes competitive developments such as product launches, acquisitions, expansions, contracts, partnerships, and actions carried out by the key players to grow in the market.

Reasons to Buy This Report

The report will help the market leaders/new entrants in the market with information on the closest approximations of the revenue for the overall AI supercomputer market and the subsegments. The report will help stakeholders understand the competitive landscape and gain more insight to position their business better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provide them with information on key drivers, restraints, opportunities, and challenges.

The report will provide insights into the following pointers:

Analysis of key drivers (Increased application of AI supercomputers in healthcare sector), restraints (High acquisition and maintenance costs), opportunities (Contribution of AI in development and deployment of autonomous vehicles), and challenges (Long development and deployment cycles) of the AI supercomputer market.
Product development /Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI supercomputer market.
Market Development: Comprehensive information about lucrative markets; the report analyses the AI supercomputer market across various regions.
Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI supercomputer market.
Competitive Assessment: In-depth assessment of market share, growth strategies, and services, offering of leading players like NIVIDIA Corporation (US), Intel Corporation (US), Advanced Micro Devices, Inc. (US), Samsung Electronics (South Korea), Micron Technology, Inc. (US) among others in the AI supercomputer market.

1 INTRODUCTION

1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
- 1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 STUDY SCOPE
- 1.3.1 MARKETS COVERED
- FIGURE 1 AI SUPERCOMPUTER MARKET: SEGMENTATION
- 1.3.2 REGIONAL SCOPE
- 1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
- 1.4.1 USD EXCHANGE RATES
1.5 UNITS CONSIDERED
1.6 LIMITATIONS
1.7 STAKEHOLDERS
1.8 IMPACT OF RECESSION

2 RESEARCH METHODOLOGY

2.1 RESEARCH APPROACH
- FIGURE 2 AI SUPERCOMPUTER MARKET: RESEARCH DESIGN
- 2.1.1 SECONDARY AND PRIMARY RESEARCH
- FIGURE 3 AI SUPERCOMPUTER MARKET: RESEARCH APPROACH
- 2.1.2 SECONDARY DATA
  - 2.1.2.1 Key data from secondary sources
  - 2.1.2.2 List of major secondary sources
- 2.1.3 PRIMARY DATA
  - 2.1.3.1 Primary interviews with experts
  - 2.1.3.2 Key data from primary sources
  - 2.1.3.3 Key industry insights
  - 2.1.3.4 List of key primary respondents
  - 2.1.3.5 Breakdown of primaries
2.2 MARKET SIZE ESTIMATION
- FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: SUPPLY SIDE
- 2.2.1 BOTTOM-UP APPROACH
  - 2.2.1.1 Approach to derive market size using bottom-up analysis (demand side)
- FIGURE 5 AI SUPERCOMPUTER MARKET: BOTTOM-UP APPROACH
- 2.2.2 TOP-DOWN APPROACH
  - 2.2.2.1 Approach to derive market size using top-down analysis (supply side)
- FIGURE 6 AI SUPERCOMPUTER MARKET: TOP-DOWN APPROACH
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
- FIGURE 7 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 PARAMETERS CONSIDERED TO ANALYZE IMPACT OF RECESSION ON AI SUPERCOMPUTER MARKET
2.6 RISK ASSESSMENT

3 EXECUTIVE SUMMARY

FIGURE 8 MEMORY SEGMENT TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 9 GOVERNMENT SEGMENT TO SECURE LARGEST MARKET SHARE DURING FORECAST PERIOD
FIGURE 10 AI SUPERCOMPUTER MARKET, BY REGION, 2022

4 PREMIUM INSIGHTS

4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI SUPERCOMPUTER MARKET
- FIGURE 11 INCREASING APPLICATIONS OF AI SUPERCOMPUTERS IN HEALTHCARE SECTOR TO BOOST MARKET GROWTH
4.2 AI SUPERCOMPUTER MARKET, BY COMPONENT
- FIGURE 12 MEMORY SEGMENT TO REGISTER HIGHEST CAGR FROM 2023 TO 2028
4.3 AI SUPERCOMPUTER MARKET, BY APPLICATION
- FIGURE 13 GOVERNMENT SEGMENT TO HOLD LARGEST MARKET SHARE FROM 2023 TO 2028
4.4 AI SUPERCOMPUTER MARKET IN ASIA PACIFIC, BY APPLICATION AND COUNTRY
- FIGURE 14 GOVERNMENT AND CHINA HELD LARGEST MARKET SHARES IN 2022
4.5 AI SUPERCOMPUTER MARKET, BY COUNTRY
- FIGURE 15 INDIA TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD

5 MARKET OVERVIEW

5.1 INTRODUCTION
5.2 MARKET DYNAMICS
- FIGURE 16 AI SUPERCOMPUTER MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
- 5.2.1 DRIVERS
- FIGURE 17 AI SUPERCOMPUTER MARKET: IMPACT ANALYSIS OF DRIVERS
  - 5.2.1.1 Increased application of AI supercomputers in healthcare industry
  - 5.2.1.2 Development of complex AI models
  - 5.2.1.3 High computational power of AI supercomputers
  - 5.2.1.4 Usage of AI supercomputers in financial institutions
- 5.2.2 RESTRAINTS
- FIGURE 18 AI SUPERCOMPUTER MARKET: IMPACT ANALYSIS OF RESTRAINTS
  - 5.2.2.1 High acquisition and maintenance costs
  - 5.2.2.2 Lack of AI hardware experts and skilled workforce
- 5.2.3 OPPORTUNITIES
- FIGURE 19 AI SUPERCOMPUTER MARKET: IMPACT ANALYSIS OF OPPORTUNITIES
  - 5.2.3.1 Contribution of AI to development and deployment of autonomous vehicles
  - 5.2.3.2 Adoption of cloud-based AI services by several organizations and researchers
- 5.2.4 CHALLENGES
- FIGURE 20 AI SUPERCOMPUTER MARKET: IMPACT ANALYSIS OF CHALLENGES
  - 5.2.4.1 Long development and deployment cycles
  - 5.2.4.2 Complexities associated with hardware and software integration
5.3 VALUE CHAIN ANALYSIS
- FIGURE 21 AI INFRASTRUCTURE MARKET: VALUE CHAIN ANALYSIS
5.4 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
- FIGURE 22 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
5.5 ECOSYSTEM MAPPING
- FIGURE 23 AI SUPERCOMPUTER MARKET: ECOSYSTEM MAPPING
- TABLE 1 COMPANIES AND THEIR ROLE IN AI SUPERCOMPUTER ECOSYSTEM
5.6 PORTER'S FIVE FORCES ANALYSIS
- TABLE 2 AI SUPERCOMPUTER MARKET: PORTER'S FIVE FORCES ANALYSIS
- FIGURE 24 AI SUPERCOMPUTER MARKET: PORTER'S FIVE FORCES ANALYSIS
- 5.6.1 THREAT OF NEW ENTRANTS
- 5.6.2 THREAT OF SUBSTITUTES
- 5.6.3 BARGAINING POWER OF SUPPLIERS
- 5.6.4 BARGAINING POWER OF BUYERS
- 5.6.5 INTENSITY OF COMPETITIVE RIVALRY
5.7 KEY STAKEHOLDERS AND BUYING CRITERIA
- 5.7.1 KEY STAKEHOLDERS IN BUYING PROCESS
- FIGURE 25 KEY STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE APPLICATIONS
- TABLE 3 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
- 5.7.2 BUYING CRITERIA
- FIGURE 26 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
- TABLE 4 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
5.8 CASE STUDY ANALYSIS
- 5.8.1 MEMORIAL SLOAN-KETTERING CANCER CENTER DEPLOYS IBM WATSON'S "COGNITIVE COMPUTING" TO SORT MEDICAL DATA
- 5.8.2 BRADESCO (BRAZILIAN BANK) DEPLOYS IBM'S AI-ENABLED COMPUTER SYSTEM TO UNDERSTAND WRITTEN AND SPOKEN QUESTIONS
- 5.8.3 EXOR INTERNATIONAL COLLABORATES WITH INTEL, TELECOM ITALIA (TIM), AND JMA WIRELESS TO BUILD SMART FACTORY
5.9 TECHNOLOGY ANALYSIS
- 5.9.1 KEY TECHNOLOGIES
  - 5.9.1.1 Green computing
  - 5.9.1.2 Cloud GPUs
5.10 TRADE ANALYSIS
- 5.10.1 IMPORT SCENARIO
- FIGURE 27 IMPORT DATA FOR PRODUCTS UNDER HS CODE 854231, BY COUNTRY, 2018-2022 (USD MILLION)
- TABLE 5 IMPORT DATA, BY COUNTRY, 2018-2022 (USD MILLION)
- 5.10.2 EXPORT SCENARIO
- FIGURE 28 EXPORT DATA FOR PRODUCTS UNDER HS CODE 854231, BY COUNTRY, 2018-2022 (USD MILLION)
- TABLE 6 EXPORT DATA, BY COUNTRY, 2018-2022 (USD MILLION)
5.11 TARIFF ANALYSIS
- TABLE 7 TARIFF FOR HS CODE 854231-COMPLIANT PRODUCTS EXPORTED BY CHINA
- TABLE 8 TARIFF FOR HS CODE 854231-COMPLIANT PRODUCTS EXPORTED BY GERMANY
- TABLE 9 TARIFF FOR HS CODE 854231-COMPLIANT PRODUCTS EXPORTED BY FRANCE
5.12 PATENT ANALYSIS
- TABLE 10 AI SUPERCOMPUTER MARKET: LIST OF PATENTS, 2020-2023
- FIGURE 29 NUMBER OF PATENTS GRANTED PER YEAR, 2012-2022
- TABLE 11 TOP 20 PATENT OWNERS IN US IN LAST 10 YEARS
- FIGURE 30 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS
5.13 REGULATORY LANDSCAPE AND STANDARDS
- 5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- TABLE 12 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- TABLE 13 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- TABLE 14 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- TABLE 15 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- 5.13.2 STANDARDS
5.14 KEY CONFERENCES AND EVENTS, 2023-2024
- TABLE 16 AI SUPERCOMPUTER MARKET: LIST OF CONFERENCES AND EVENTS
5.15 PRICING ANALYSIS
- TABLE 17 AVERAGE SELLING PRICE (ASP) OF PROCESSORS/COMPUTE FOR AI SUPERCOMPUTERS OFFERED BY TWO KEY PLAYERS
- 5.15.1 AVERAGE SELLING PRICE (ASP) OF PROCESSORS/COMPUTE OFFERED BY TWO KEY PLAYERS
- FIGURE 31 AVERAGE SELLING PRICE (ASP) OF PROCESSORS/COMPUTE OFFERED BY TWO KEY PLAYERS
- 5.15.2 AVERAGE SELLING PRICE (ASP) TREND, BY COMPONENT
- FIGURE 32 AVERAGE SELLING PRICE (ASP) OF CPUS & GPUS

6 AI SUPERCOMPUTER MARKET, BY COMPONENT

6.1 INTRODUCTION
- FIGURE 33 MEMORY SEGMENT TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
- TABLE 18 AI SUPERCOMPUTER MARKET, BY COMPONENT, 2019-2022 (USD MILLION)
- TABLE 19 AI SUPERCOMPUTER MARKET, BY COMPONENT, 2023-2028 (USD MILLION)
6.2 PROCESSORS/COMPUTE
- TABLE 20 PROCESSORS/COMPUTE: AI SUPERCOMPUTER MARKET, BY TYPE, 2019-2022 (USD MILLION)
- TABLE 21 PROCESSORS/COMPUTE: AI SUPERCOMPUTER MARKET, BY TYPE, 2023-2028 (USD MILLION)
- TABLE 22 PROCESSORS/COMPUTE: AI SUPERCOMPUTER MARKET, BY REGION, 2019-2022 (USD MILLION)
- TABLE 23 PROCESSORS/COMPUTE: AI SUPERCOMPUTER MARKET, BY REGION, 2023-2028 (USD MILLION)
- 6.2.1 CENTRAL PROCESSING UNITS (CPUS)
  - 6.2.1.1 Growing demand for realistic and immersive gaming experiences to foster segmental growth
- 6.2.2 GRAPHICS PROCESSING UNITS (GPUS)
  - 6.2.2.1 Ability to process multiple layers and millions of parameters in parallel to drive market
- TABLE 24 COMPONENT: AI SUPERCOMPUTER MARKET FOR CPUS & GPUS, 2019-2022 (THOUSAND UNITS)
- TABLE 25 COMPONENT: AI SUPERCOMPUTER MARKET FOR CPUS & GPUS, 2023-2028 (THOUSAND UNITS)
- 6.2.3 APPLICATION-SPECIFIC INTEGRATED CIRCUITS (ASICS)
  - 6.2.3.1 Ability to enhance to overall performance and competitiveness of AI supercomputing systems to foster segmental growth
- 6.2.4 FIELD-PROGRAMMABLE GATE ARRAYS (FPGAS)
  - 6.2.4.1 Potential to quickly test new and updated algorithms to boost demand
6.3 STORAGE
- 6.3.1 EFFICIENT MANAGEMENT AND HANDLING OF VAST AMOUNT OF DATA TO DRIVE MARKET
- FIGURE 34 ASIA PACIFIC TO HOLD LARGEST SHARE OF AI SUPERCOMPUTER MARKET FOR STORAGE IN 2028
- TABLE 26 STORAGE: AI SUPERCOMPUTER MARKET, BY REGION, 2019-2022 (USD MILLION)
- TABLE 27 STORAGE: AI SUPERCOMPUTER MARKET, BY REGION, 2023-2028 (USD MILLION)
6.4 MEMORY
- 6.4.1 NEED TO OPTIMIZE DATA TRANSFER BETWEEN CPU AND GPU MEMORY TO DRIVE MARKET
- TABLE 28 MEMORY: AI SUPERCOMPUTER MARKET, BY REGION, 2019-2022 (USD MILLION)
- TABLE 29 MEMORY: AI SUPERCOMPUTER MARKET, BY REGION, 2023-2028 (USD MILLION)
6.5 INTERCONNECTS
- 6.5.1 ABILITY TO SEAMLESSLY COMMUNICATE AND SHARE DATA BETWEEN HETEROGENEOUS COMPUTING RESOURCES TO BOOST DEMAND
- TABLE 30 INTERCONNECTS: AI SUPERCOMPUTER MARKET, BY REGION, 2019-2022 (USD MILLION)
- TABLE 31 INTERCONNECTS: AI SUPERCOMPUTER MARKET, BY REGION, 2023-2028 (USD MILLION)

7 DEPLOYMENT TYPE OF AI SUPERCOMPUTERS IN ORGANIZATIONS

7.1 INTRODUCTION
7.2 CLOUD
- 7.2.1 REDUCED OPERATIONAL COSTS, EASY DEPLOYMENT, AND HIGH SCALABILITY TO DRIVE DEMAND
7.3 ON-PREMISES
- 7.3.1 CUSTOM DESIGN AND CONFIGURATION WITH SPECIFIC COMPUTATIONAL REQUIREMENTS OF AI WORKLOADS TO DRIVE DEMAND

8 AI SUPERCOMPUTER MARKET, BY APPLICATION

8.1 INTRODUCTION
- FIGURE 35 COMMERCIAL APPLICATION TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
- TABLE 32 APPLICATION: AI SUPERCOMPUTER MARKET, 2019-2022 (USD MILLION)
- TABLE 33 APPLICATION: AI SUPERCOMPUTER MARKET, 2023-2028 (USD MILLION)
8.2 GOVERNMENT
- 8.2.1 RISING CYBERSECURITY THREATS TO DRIVE MARKET
- TABLE 34 GOVERNMENT: AI SUPERCOMPUTER MARKET, BY REGION, 2019-2022 (USD MILLION)
- TABLE 35 GOVERNMENT: AI SUPERCOMPUTER MARKET, BY REGION, 2023-2028 (USD MILLION)
8.3 ACADEMIA AND RESEARCH
- 8.3.1 GROWING NEED TO RESOLVE COMPLEX SCIENTIFIC PROBLEMS TO DRIVE MARKET
- TABLE 36 ACADEMIA AND RESEARCH: AI SUPERCOMPUTER MARKET, BY REGION, 2019-2022 (USD MILLION)
- TABLE 37 ACADEMIA AND RESEARCH: AI SUPERCOMPUTER MARKET, BY REGION, 2023-2028 (USD MILLION)
8.4 COMMERCIAL
- FIGURE 36 NORTH AMERICA TO HOLD LARGEST MARKET SHARE OF AI SUPERCOMPUTER FOR COMMERCIAL APPLICATION FROM IN 2028
- TABLE 38 COMMERCIAL: AI SUPERCOMPUTER MARKET, BY REGION, 2019-2022 (USD MILLION)
- TABLE 39 COMMERCIAL: AI SUPERCOMPUTER MARKET, BY REGION, 2023-2028 (USD MILLION)
- 8.4.1 GENERATIVE AI
  - 8.4.1.1 Ability to offer realistic images and videos in entertainment industry to boost demand
- 8.4.2 COMPUTER VISION
  - 8.4.2.1 Semiautonomous and autonomous cars to create lucrative opportunities for market players
- 8.4.3 DRUG DISCOVERY
  - 8.4.3.1 Ability to accelerate and optimize drug discovery to boost demand
- 8.4.4 OTHERS

9 AI SUPERCOMPUTER MARKET, BY REGION

9.1 INTRODUCTION
- FIGURE 37 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
- FIGURE 38 ASIA PACIFIC TO HOLD LARGEST MARKET SHARE IN 2028
- TABLE 40 AI SUPERCOMPUTER MARKET, BY REGION, 2019-2022 (USD MILLION)
- TABLE 41 AI SUPERCOMPUTER MARKET, BY REGION, 2023-2028 (USD MILLION)
9.2 NORTH AMERICA
- 9.2.1 IMPACT OF RECESSION ON NORTH AMERICA
- FIGURE 39 NORTH AMERICA: AI SUPERCOMPUTER MARKET SNAPSHOT
- TABLE 42 NORTH AMERICA: AI SUPERCOMPUTER MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
- TABLE 43 NORTH AMERICA: AI SUPERCOMPUTER MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
- TABLE 44 NORTH AMERICA: AI SUPERCOMPUTER MARKET, BY COMPONENT, 2019-2022 (USD MILLION)
- TABLE 45 NORTH AMERICA: AI SUPERCOMPUTER MARKET, BY COMPONENT, 2023-2028 (USD MILLION)
- TABLE 46 NORTH AMERICA: AI SUPERCOMPUTER MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
- TABLE 47 NORTH AMERICA: AI SUPERCOMPUTER MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
- 9.2.2 US
  - 9.2.2.1 Growing private sector investments in developing computing systems to drive market
- 9.2.3 CANADA
  - 9.2.3.1 Government-led funding for research and development of AI technologies and supercomputing to boost demand
9.3 EUROPE
- 9.3.1 IMPACT OF RECESSION ON EUROPE
- FIGURE 40 EUROPE: AI SUPERCOMPUTER MARKET SNAPSHOT
- TABLE 48 EUROPE: AI SUPERCOMPUTER MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
- TABLE 49 EUROPE: AI SUPERCOMPUTER MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
- TABLE 50 EUROPE: AI SUPERCOMPUTER MARKET, BY COMPONENT, 2019-2022 (USD MILLION)
- TABLE 51 EUROPE: AI SUPERCOMPUTER MARKET, BY COMPONENT, 2023-2028 (USD MILLION)
- TABLE 52 EUROPE: AI SUPERCOMPUTER MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
- TABLE 53 EUROPE: AI SUPERCOMPUTER MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
- 9.3.2 UK
  - 9.3.2.1 Government-led initiatives for increasing adoption of AI to drive market growth
- 9.3.3 GERMANY
  - 9.3.3.1 Introduction of Industry 4.0 technologies to boost market growth
- 9.3.4 FRANCE
  - 9.3.4.1 Growing government funding to startups to drive market
- 9.3.5 REST OF EUROPE
9.4 ASIA PACIFIC
- 9.4.1 IMPACT OF RECESSION ON ASIA PACIFIC
- FIGURE 41 ASIA PACIFIC: AI SUPERCOMPUTER MARKET SNAPSHOT
- TABLE 54 ASIA PACIFIC: AI SUPERCOMPUTER MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
- TABLE 55 ASIA PACIFIC: AI SUPERCOMPUTER MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
- TABLE 56 ASIA PACIFIC: AI SUPERCOMPUTER MARKET, BY COMPONENT, 2019-2022 (USD MILLION)
- TABLE 57 ASIA PACIFIC: AI SUPERCOMPUTER MARKET, BY COMPONENT, 2023-2028 (USD MILLION)
- TABLE 58 ASIA PACIFIC: AI SUPERCOMPUTER MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
- TABLE 59 ASIA PACIFIC: AI SUPERCOMPUTER MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
- 9.4.2 CHINA
  - 9.4.2.1 Government-led investments in development AI technologies to drive market
- 9.4.3 JAPAN
  - 9.4.3.1 Growing deployment of robots in healthcare sector to drive demand
- 9.4.4 INDIA
  - 9.4.4.1 Growing investment in AI-specific supercomputers to drive market
- 9.4.5 REST OF ASIA PACIFIC
9.5 ROW
- 9.5.1 IMPACT OF RECESSION ON ROW
- FIGURE 42 ROW: AI SUPERCOMPUTER MARKET SNAPSHOT
- TABLE 60 ROW: AI SUPERCOMPUTER MARKET, BY COMPONENT, 2019-2022 (USD MILLION)
- TABLE 61 ROW: AI SUPERCOMPUTER MARKET, BY COMPONENT, 2023-2028 (USD MILLION)
- TABLE 62 ROW: AI SUPERCOMPUTER MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
- TABLE 63 ROW: AI SUPERCOMPUTER MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
- 9.5.2 MIDDLE EAST & AFRICA
  - 9.5.2.1 Increasing R&D investments in AI technology to drive market
- 9.5.3 SOUTH AMERICA
  - 9.5.3.1 Increasing public-private partnerships to boost demand

10 COMPETITIVE LANDSCAPE

10.1 OVERVIEW
10.2 KEY STRATEGIES ADOPTED BY MAJOR PLAYERS
- TABLE 64 AI SUPERCOMPUTER MARKET: OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS
10.3 MARKET SHARE ANALYSIS, 2022
- FIGURE 43 AI SUPERCOMPUTER MARKET SHARE ANALYSIS, 2022
- TABLE 65 AI SUPERCOMPUTER MARKET SHARE ANALYSIS, 2022
10.4 REVENUE ANALYSIS, 2020-2022
- FIGURE 44 REVENUE ANALYSIS OF FIVE KEY PLAYERS, 2020-2022
10.5 COMPANY EVALUATION MATRIX, 2022
- 10.5.1 STARS
- 10.5.2 EMERGING LEADERS
- 10.5.3 PERVASIVE PLAYERS
- 10.5.4 PARTICIPANTS
- FIGURE 45 AI SUPERCOMPUTER MARKET: COMPANY EVALUATION MATRIX, 2022
10.6 STARTUPS/SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION MATRIX, 2022
- TABLE 66 DETAILED LIST OF KEY START-UPS/SMES
- 10.6.1 PROGRESSIVE COMPANIES
- 10.6.2 RESPONSIVE COMPANIES
- 10.6.3 DYNAMIC COMPANIES
- 10.6.4 STARTING BLOCKS
- FIGURE 46 AI SUPERCOMPUTER MARKET: START-UPS/SMES EVALUATION MATRIX, 2022
10.7 COMPETITIVE BENCHMARKING
- TABLE 67 AI SUPERCOMPUTER MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS/SME
- TABLE 68 AI SUPERCOMPUTER MARKET: DETAILED LIST OF KEY START-UPS/SMES
10.8 COMPANY FOOTPRINT
- TABLE 69 COMPANY FOOTPRINT
- TABLE 70 COMPONENT: COMPANY FOOTPRINT
- TABLE 71 APPLICATION: COMPANY FOOTPRINT
- TABLE 72 REGION: COMPANY FOOTPRINT
10.9 COMPETITIVE SCENARIOS AND TRENDS
- 10.9.1 PRODUCT LAUNCHES
- TABLE 73 AI SUPERCOMPUTER MARKET, PRODUCT LAUNCHES, 2020-2023
- 10.9.2 DEALS
- TABLE 74 DEALS, 2020-2023

11 COMPANY PROFILES

11.1 KEY PLAYERS
(Business overview, Products/Solutions/Services offered, Recent developments, Product launches, Deals, MnM view, Key strengths/Right to win, Strategic choices made, and Weaknesses/Competitive threats)**

11.1.1 NVIDIA CORPORATION
TABLE 75 NVIDIA CORPORATION: COMPANY OVERVIEW
FIGURE 47 NVIDIA CORPORATION: COMPANY SNAPSHOT
TABLE 76 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 77 NVIDIA CORPORATION: PRODUCT LAUNCHES
TABLE 78 NVIDIA CORPORATION: DEALS
11.1.2 INTEL CORPORATION
TABLE 79 INTEL CORPORATION: COMPANY OVERVIEW
FIGURE 48 INTEL CORPORATION: COMPANY SNAPSHOT
TABLE 80 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 81 INTEL CORPORATION: PRODUCT LAUNCHES
TABLE 82 INTEL CORPORATION: DEALS
11.1.3 ADVANCED MICRO DEVICES, INC.
TABLE 83 ADVANCED MICRO DEVICES, INC.: COMPANY OVERVIEW
FIGURE 49 ADVANCED MICRO DEVICES, INC.: COMPANY SNAPSHOT
TABLE 84 ADVANCED MICRO DEVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 85 ADVANCED MICRO DEVICES, INC.: PRODUCT LAUNCHES
TABLE 86 ADVANCED MICRO DEVICES, INC.: DEALS
11.1.4 SAMSUNG ELECTRONICS
TABLE 87 SAMSUNG ELECTRONICS: COMPANY OVERVIEW
FIGURE 50 SAMSUNG ELECTRONICS: COMPANY SNAPSHOT
TABLE 88 SAMSUNG ELECTRONICS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 89 SAMSUNG ELECTRONICS: PRODUCT LAUNCHES
TABLE 90 SAMSUNG ELECTRONICS: DEALS
11.1.5 MICRON TECHNOLOGY, INC.
TABLE 91 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW
FIGURE 51 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
TABLE 92 MICRON TECHNOLOGY, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 93 MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES
11.1.6 IBM CORPORATION
TABLE 94 IBM CORPORATION: COMPANY OVERVIEW
FIGURE 52 IBM CORPORATION: COMPANY SNAPSHOT
TABLE 95 IBM CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 96 IBM CORPORATION: PRODUCT LAUNCHES
TABLE 97 IBM CORPORATION: DEALS
11.1.7 META
TABLE 98 META: COMPANY OVERVIEW
FIGURE 53 META: COMPANY SNAPSHOT
TABLE 99 META: PRODUCTS/SOLUTIONS/SERVICES OFFERED
11.1.8 DELL INC.
TABLE 100 DELL INC.: COMPANY OVERVIEW
FIGURE 54 DELL INC.: COMPANY SNAPSHOT
TABLE 101 DELL INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 102 DELL INC.: DEALS
11.1.9 GOOGLE
TABLE 103 GOOGLE: COMPANY OVERVIEW
FIGURE 55 GOOGLE: COMPANY SNAPSHOT
TABLE 104 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 105 GOOGLE: PRODUCT LAUNCHES
TABLE 106 GOOGLE: DEALS
11.1.10 HUAWEI TECHNOLOGIES CO., LTD.
TABLE 107 HUAWEI TECHNOLOGIES CO., LTD.: COMPANY OVERVIEW
TABLE 108 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 109 HUAWEI TECHNOLOGIES CO., LTD.: DEALS
11.1.11 MICROSOFT
TABLE 110 MICROSOFT: COMPANY OVERVIEW
FIGURE 56 MICROSOFT: COMPANY SNAPSHOT
TABLE 111 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 112 MICROSOFT: PRODUCT LAUNCHES
TABLE 113 MICROSOFT: DEALS
11.1.12 CEREBRAS
TABLE 114 CEREBRAS: COMPANY OVERVIEW
TABLE 115 CEREBRAS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 116 CEREBRAS: PRODUCT LAUNCHES
TABLE 117 CEREBRAS: DEALS

11.2 OTHER PLAYERS
- 11.2.1 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- 11.2.2 FUJITSU
- 11.2.3 PEZY GROUP
- 11.2.4 TESLA
- 11.2.5 ATOS SE
- 11.2.6 NEC CORPORATION
- 11.2.7 ORACLE
- 11.2.8 AMAZON WEB SERVICES, INC.
- 11.2.9 GROQ, INC.
- 11.2.10 MEDIATEK INC.
- 11.2.11 GRAPHCORE
- 11.2.12 SAMBANOVA SYSTEMS, INC.
- 11.2.13 KALRAY
- 11.2.14 KNERON, INC.
- 11.2.15 ARM LIMITED
*Details on Business overview, Products/Solutions/Services offered, Recent developments, Product launches, Deals, MnM view, Key strengths/Right to win, Strategic choices made, and Weaknesses/Competitive threats might not be captured in case of unlisted companies.

12 APPENDIX

12.1 DISCUSSION GUIDE
12.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
12.3 CUSTOMIZATION OPTIONS
12.4 RELATED REPORTS
12.5 AUTHOR DETAILS