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
상품코드:1374767
리서치사:MarketsandMarkets
발행일:2023년 11월
페이지 정보:영문 179 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
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.
목차
제1장 서문
제2장 조사 방법
제3장 주요 요약
제4장 중요 인사이트
제5장 시장 개요
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.
TABLE OF CONTENTS
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
*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.
