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하이퍼스케일 데이터센터 시장 : 전력 용량별, IT 인프라별, 전기 인프라별, 기계 인프라별 세계 예측(-2030년)

Hyperscale Data Center Market by Power Capacity (10-50 MW, 50-100 MW, Above 101 MW), IT Infrastructure (Server, Storage, Network), Electrical Infrastructure (PDUs, UPS Systems), Mechanical Infrastructure (Cooling Systems, Rack) - Global Forecast to 2030

발행일: | 리서치사: MarketsandMarkets | 페이지 정보: 영문 357 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

하이퍼스케일 데이터센터 시장 규모는 2024년 1627억 9,000만 달러에서 예측 기간 동안 24.6%의 연평균 복합 성장률(CAGR)로 성장을 지속하여 2030년에는 6085억 4,000만 달러에 이를 것으로 예상됩니다.

기업이 클라우드 컴퓨팅을 채택함에 따라 하이퍼스케일 데이터센터에 대한 수요가 더욱 높아질 것으로 예상됩니다. 하이퍼스케일 데이터센터는 대규모 워크로드를 처리하기 위해 구축되며 AWS, Microsoft Azure, Google Cloud 클라우드 서비스를 지원하는 데 필요한 모든 인프라를 제공합니다.

조사 범위
조사 대상 연도 2019-2030년
기준 연도 2024년
예측 기간 2024-2030년
단위 10억 달러
부문 구성 요소, 배포 모드, 유형, 전력 용량, 최종 사용자
대상 지역 북미·유럽·아시아태평양·중동&아프리카·라틴아메리카

하이퍼스케일에는 첨단 기술, 고성능 컴퓨팅 리소스 및 원활한 확장성이 필요합니다. 하이브리드 클라우드 및 멀티클라우드 전략이 형성되는 동안 하이퍼스케일 데이터센터는 기본 통합 및 데이터 관리 운영에 큰 부가 가치를 제공합니다. 클라우드 네이티브 용도, 빅데이터 분석 및 원격 근무으로의 이동은 안정적이고 확장 가능한 클라우드 서비스를 보장하기 위해 하이퍼스케일 인프라에 대한 요구가 커짐에 따라 계속 박차를 가할 것으로 보입니다.

"구성 요소별로 소프트웨어 부서가 예측 기간 동안 최대 CAGR을 나타낼 것으로 예상"

하이퍼스케일 데이터센터의 하이퍼스케일링은 자동화, 효율화 및 확장성에 대한 수요를 높여주기 때문에 예측 기간 동안 소프트웨어 수요가 증가할 것으로 예상됩니다. 관리 플랫폼, 가상화 도구, AI 주도 분석 등의 소프트웨어 솔루션은 이러한 데이터센터의 운영을 최적화하고 다운타임을 줄이는 데 필수적입니다. 이러한 도구는 실시간 모니터링, 예보 유지 보수, 클라우드 및 온프레미스의 원활한 통합을 지원하며 이 환경에 필수적입니다. AI, 머신러닝, 빅데이터 분석 등 기업에서 첨단 워크로드를 사용하려면 리소스와 효율적인 관리를 위한 고성능의 정교한 소프트웨어가 필요합니다. 또한 소프트웨어 정의 데이터센터 동향은 하드웨어를 소프트웨어에서 분리함으로써 유연성과 비용 절감을 실현하기 위해 이 부문에 대한 투자를 가속화하고 있으며, 이 시장의 급성장 길을 열고 있습니다.

"전력 용량 기반에서는 10-50MW 부문이 예측 기간 중 최대 점유율을 보여줄 전망"

이 부문의 점유율 확대의 요인은 확장성과 운영 효율성의 균형을 맞추고 있다는 점에 있습니다. 하이퍼스케일 데이터센터는 상당한 전력 소비와 높은 컴퓨팅 리소스를 필요로 하는 클라우드 컴퓨팅, AI, 빅 데이터 분석 등 수요 증가에 대응하고 있습니다. 선도적인 클라우드 제공업체와 기업은 고밀도 워크로드를 호스팅하는 적절한 용량과 확장성을 위해 이 부서로 분류되는 데이터센터를 널리 채택하고 있습니다. 10-50MW 부서는 조직이 높은 전력 용량에 과도하게 커밋하지 않고도 대규모 운영을 가능하게 하는 유연성을 뒷받침합니다. 게다가 이 부서는 에너지 효율적인 기술 혁신과 모듈 설계를 통해 지속가능성 과제에 대응하는 가장 비용 효율적인 옵션이 되었습니다. 디지털 인프라에 대한 투자와 하이브리드 클라우드 도입 확대도 10-50MW대의 성장을 추진할 전망입니다.

본 보고서에서는 세계의 하이퍼스케일 데이터센터 시장을 조사했으며, 시장 개요, 시장 성장 영향요인 분석, 기술·특허 동향, 법규제 환경, 사례 연구, 시장 규모 추이와 예측, 각종 구분·지역/주요 국가별 상세 분석, 경쟁 구도, 주요기업 프로파일 등을 정리했습니다.

목차

제1장 서론

제2장 조사 방법

제3장 주요 요약

제4장 중요 인사이트

제5장 시장 개요와 업계 동향

  • 시장 역학
    • 성장 촉진요인
    • 성장 억제요인
    • 기회
    • 과제
  • 고객의 사업에 영향을 주는 동향/혁신
  • 가격 분석
  • 공급망 분석
  • 에코시스템
  • 기술 분석
  • 특허 분석
  • 무역 분석
  • 주요 회의 및 이벤트
  • 규제 상황
  • Porter's Five Forces 분석
  • 주요 이해관계자와 구매 기준
  • 비즈니스 모델 분석
  • 투자와 자금조달 시나리오
  • 하이퍼스케일 데이터센터 시장 : 지역별
  • 하이퍼스케일 데이터센터 시장의 향후 프로젝트
  • 하이퍼스케일 데이터센터 시장의 미래
  • 하이퍼스케일 데이터센터 시장에서의 AI/생성형 AI의 영향
  • 사례 연구 분석

제6장 하이퍼스케일 데이터센터 시장 : 구성요소별

  • 하드웨어
    • 전기 인프라
    • IT 인프라
    • 기계 인프라
  • 소프트웨어
    • 관리
    • 감시
    • 운영
  • 서비스
    • 프로
    • 매니지드 서비스

제7장 하이퍼스케일 데이터센터 시장 : 배포 모드별

  • 그린필드
  • 브라운필드

제8장 하이퍼스케일 데이터센터 시장 : 전력 용량별

  • 10-50MW
  • 51-100MW
  • 101MW 이상

제9장 하이퍼스케일 데이터센터 시장 : 최종 사용자별

  • 클라우드 서비스 제공업체
  • 코로케이션 서비스 제공업체
  • 기업
    • BFSI
    • BFSI : 이용 사례
    • 헬스케어&생명과학
    • 건강 관리&생명 과학 : 이용 사례
    • 기술
    • 기술 : 이용 사례
    • 통신
    • 통신 : 이용 사례
    • 정부 및 방위
    • 정부 및 방위 : 이용 사례
    • 소매 및 전자상거래
    • 소매 및 전자상거래 : 이용 사례
    • 미디어 및 엔터테인먼트
    • 미디어 및 엔터테인먼트 : 이용 사례
    • 제조
    • 제조 : 이용 사례
    • 기타 기업
    • 기타 기업 : 이용 사례

제10장 하이퍼스케일 데이터센터 시장 : 지역별

  • 북미
    • 시장 성장 촉진요인
    • 거시경제 전망
    • 미국
    • 캐나다
  • 유럽
    • 시장 성장 촉진요인
    • 거시경제 전망
    • 영국
    • 독일
    • 프랑스
    • 이탈리아
    • 폴란드
    • 스웨덴
    • 헝가리
    • 기타
  • 아시아태평양
    • 시장 성장 촉진요인
    • 거시경제 전망
    • 중국
    • 일본
    • 호주
    • 기타
  • 중동 및 아프리카
    • 시장 성장 촉진요인
    • 거시경제 전망
    • GCC 국가
    • 터키
    • 남아프리카
    • 기타
  • 라틴아메리카
    • 시장 성장 촉진요인
    • 거시경제 전망
    • 브라질
    • 멕시코
    • 기타

제11장 경쟁 구도

  • 주요 기업의 채용 전략/유력 기업
  • 시장 점유율 분석
  • 수익 분석
  • 기업 평가 매트릭스 : 주요 기업
  • 브랜드/제품 비교
  • 기업평가 매트릭스: 스타트업/중소기업
  • 주요 벤더의 기업 평가 및 재무 지표
  • 경쟁 시나리오

제12장 기업 프로파일

  • 주요 기업
    • AWS
    • GOOGLE
    • ORACLE
    • MICROSOFT
    • ALIBABA
    • IBM
    • TENCENT
    • HPE
    • ARISTA NETWORKS
    • DELL
  • 기타 기업
    • CISCO
    • NVIDIA
    • VERTIV
    • NLYTE SOFTWARE
    • ABB
    • QUANTA CLOUD TECHNOLOGY
    • ADANICONNEX
    • EATON
    • COLT DATA CENTER SERVICES
    • RITTAL
    • PENGUINE SOLUTIONS
    • INFINIDAT
    • ENERGY VAULT

제13장 인접 시장 및 관련 시장

제14장 부록

KTH 25.03.04

The global hyperscale data center market will grow from USD 162.79 billion in 2024 to USD 608.54 billion by 2030 at a compounded annual growth rate (CAGR) of 24.6% during the forecast period. Enterprises' growing adoption of cloud computing will exacerbate the demand for hyperscale data centers as companies increasingly count on cloud platforms for their extensive scaling, flexibility, and cost-efficiency needs. Hyperscale data centers are built to handle massive workloads and provide all the infrastructure required to support AWS, Microsoft Azure, and Google Cloud cloud services.

Scope of the Report
Years Considered for the Study2019-2030
Base Year2024
Forecast Period2024-2030
Units ConsideredUSD (Billion)
SegmentsComponent, Deployment Type, Power Capacity, and End User
Regions coveredNorth America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Hyperscale requires advanced technologies, high-performance computing resources, and seamless scalability. As hybrid and multi-cloud strategies shape, hyperscale data centers add considerable value in operating the underlying integration and data management. The shift into cloud-native applications, big-data analytics, and remote work will likely continue to inject the increasing need for hyperscale infrastructure when guaranteeing reliable and scalable cloud services.

"Based on component, the software segment is expected to grow at the highest CAGR during the forecast period."

Software is expected to be in high demand for the hyperscale data center market during the forecast period due to the hyperscaling of hyperscale data centers, increasing the demand for automation, efficiency, and scalability. Software solutions such as management platforms, virtualization tools, and AI-driven analytics are critical to optimizing those Data Centers' operations and reducing downtime. These tools support real-time monitoring, predictive maintenance, and seamless cloud/on-premises integration and are vital to this environment. Its developing use cases and adoption of advanced workloads in enterprises, including AI, machine learning, and big data analytics, demand high-performance, sophisticated software for resource and efficient management. Furthermore, the trend toward software-defined data centers is accelerating investments in this segment, as it offers flexibility and cost savings by decoupling hardware from software, paving the way for rapid growth in this market.

"Based on power capacity, the 10-50 MW segment holds the largest share during the forecast period."

The 10-50 MW capacity segment is expected to hold the highest market share during the hyperscale data center market forecast period because it balances scalability with operational efficiency. It meets the growing demand in cloud computing, artificial intelligence, and big data analytics, which require significant power consumption and high computational resources. Major cloud providers and enterprises widely adopt data centers that fall within this category for a decent capacity to host high-density workloads with further expandability. The 10-50 MW category is favored for its flexibility, enabling organizations to operate large-scale operations without overcommitting to high power capacities. Moreover, innovations in energy-efficient technologies and modular designs in this space make it the most cost-effective option that resonates with the sustainability agenda. Investment in digital infrastructure and increasing deployment of hybrid cloud is also likely to see growth in the 10-50 MW band as a cornerstone for the hyperscale data center market.

"Based on the end users, the colocation providers segment is expected to grow at the highest CAGR during the forecast period."

In the hyperscale data center market, the colocation provider segment is projected to experience the highest compound annual growth rate (CAGR) during the forecast period. The growing demand of businesses for scalable and cost-effective solutions to their data storage and processing needs fuels this growth. They allow companies to spread operations to increase data centers by offering infrastructure, power, cooling, and connectivity at a minimal investment. Increasing consumption of cloud services, edge computing, and workloads related to AI will contribute to growing demands for colocation facilities as their delivery brings needed flexibility and proximity to end-users. Additionally, enterprises increasingly choose colocation to meet sustainability goals, as providers often deploy energy-efficient technologies and renewable energy sources. With hyperscale operators partnering with colocation providers to support growing data requirements, this segment is set to lead the market's growth trajectory.

Breakdown of primaries

We interviewed Chief Executive Officers (CEOs), directors of innovation and technology, system integrators, and executives from several significant hyperscale data center market companies.

  • By Company: Tier I: 40%, Tier II: 25%, and Tier III: 35%
  • By Designation: Directors: 37%, Managers: 25%, and Others: 38%
  • By Region: North America: 38%, Europe: 24%, Asia Pacific: 22%, Rest of World: 16%

Some significant hyperscale data center market vendors are AWS, Google, Microsoft, Oracle, IBM, HPE, Arista Network, Dell, Tencent, and Alibaba.

Research coverage:

The market report covered the hyperscale data center market across segments. We estimated the market size and growth potential for many segments based on component, deployment type, power capacity, end user, and region. It contains a thorough competition analysis of the major market participants, information about their businesses, essential observations about their product and service offerings, current trends, and critical market strategies.

Reasons to buy this report:

With information on the most accurate revenue estimates for the whole hyperscale data center industry and its subsegments, the research will benefit market leaders and recent newcomers. Stakeholders will benefit from this report's increased understanding of the competitive environment, which will help them better position their companies and develop go-to-market strategies. The research offers information on the main market drivers, constraints, opportunities, and challenges, as well as aids players in understanding the pulse of the industry.

The report provides insights on the following pointers:

Analysis of key drivers (digital transformation initiatives, the surge in adoption of multi-cloud, disaster recovery and business continuity, increasing hyperscale data center spending), restraints (shortage of skilled workforce), opportunities (expansion of 5G infrastructure, deployment of AI and advanced computing, surge in data traffic, data localization and sovereignty requirement), and challenges (latency & connectivity limitation in remote areas, integration of legacy system with modern infrastructure) influencing the growth of the hyperscale data center market.

  • Product Development/Innovation: Comprehensive analysis of emerging technologies, R&D initiatives, and new service and product introductions in the hyperscale data center market.
  • Market Development: In-depth details regarding profitable markets: the paper examines the global hyperscale data center market.
  • Market Diversification: Comprehensive details regarding recent advancements, investments, unexplored regions, new goods and services, and the hyperscale data center market.
  • Competitive Assessment: Thorough analysis of the market shares, expansion plans, and service portfolios of the top competitors in the hyperscale data center industry, such as AWS (US), Google (US), Microsoft (US), Oracle (US), and IBM (US).

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 MARKET SEGMENTATION
    • 1.3.2 YEARS CONSIDERED
  • 1.4 CURRENCY
  • 1.5 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakup of primary profiles
      • 2.1.2.2 Key insights from industry experts
  • 2.2 DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • 2.3.1 TOP-DOWN APPROACH
    • 2.3.2 BOTTOM-UP APPROACH
    • 2.3.3 MARKET ESTIMATION APPROACHES
  • 2.4 MARKET FORECAST
  • 2.5 RESEARCH ASSUMPTIONS
  • 2.6 LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 OVERVIEW OF HYPERSCALE DATA CENTER MARKET
  • 4.2 HYPERSCALE DATA CENTER MARKET, BY COMPONENT
  • 4.3 HYPERSCALE DATA CENTER MARKET, BY SERVICE
  • 4.4 HYPERSCALE DATA CENTER MARKET, BY SOFTWARE
  • 4.5 HYPERSCALE DATA CENTER MARKET, BY HARDWARE
  • 4.6 HYPERSCALE DATA CENTER MARKET, BY ELECTRICAL INFRASTRUCTURE
  • 4.7 HYPERSCALE DATA CENTER MARKET, BY MECHANICAL INFRASTRUCTURE
  • 4.8 HYPERSCALE DATA CENTER MARKET, BY IT INFRASTRUCTURE
  • 4.9 HYPERSCALE DATA CENTER MARKET, BY POWER CAPACITY
  • 4.10 HYPERSCALE DATA CENTER MARKET, BY DEPLOYMENT TYPE
  • 4.11 HYPERSCALE DATA CENTER MARKET, BY END USER
  • 4.12 HYPERSCALE DATA CENTER MARKET, BY ENTERPRISE
  • 4.13 HYPERSCALE DATA CENTER MARKET: REGIONAL SCENARIO

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Digital transformation initiatives
      • 5.2.1.2 Surge in adoption of multi-cloud
      • 5.2.1.3 Disaster recovery and business continuity
      • 5.2.1.4 Increasing hyperscale data center technology spending
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Shortage of skilled workforce
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Expansion of 5G infrastructure
      • 5.2.3.2 Deployment of AI and advanced computing
      • 5.2.3.3 Surge in data traffic
      • 5.2.3.4 Data localization and sovereignty requirements
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Latency and connectivity limitations in remote areas
      • 5.2.4.2 Integration of legacy system with modern infrastructure
  • 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.4 PRICING ANALYSIS
    • 5.4.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING
  • 5.5 SUPPLY CHAIN ANALYSIS
  • 5.6 ECOSYSTEM
  • 5.7 TECHNOLOGY ANALYSIS
    • 5.7.1 KEY TECHNOLOGIES
      • 5.7.1.1 Software-Defined Networking (SDN)
      • 5.7.1.2 Hyper-Converged Infrastructure (HCI)
      • 5.7.1.3 AI-powered Operations (AIOps)
    • 5.7.2 COMPLEMENTARY TECHNOLOGIES
      • 5.7.2.1 IoT
      • 5.7.2.2 Edge computing
      • 5.7.2.3 Cloud computing platforms
      • 5.7.2.4 Virtualization
    • 5.7.3 ADJACENT TECHNOLOGIES
      • 5.7.3.1 5G networks
      • 5.7.3.2 Big data analytics platforms
      • 5.7.3.3 Blockchain
  • 5.8 PATENT ANALYSIS
    • 5.8.1 LIST OF MAJOR PATENTS
  • 5.9 TRADE ANALYSIS
  • 5.10 KEY CONFERENCES AND EVENTS, 2024-2025
  • 5.11 REGULATORY LANDSCAPE
    • 5.11.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.11.2 REGULATIONS, BY REGION
      • 5.11.2.1 North America
      • 5.11.2.2 Europe
      • 5.11.2.3 Asia Pacific
      • 5.11.2.4 Middle East & South Africa
      • 5.11.2.5 Latin America
    • 5.11.3 REGULATORY IMPLICATIONS AND INDUSTRY STANDARDS
      • 5.11.3.1 General Data Protection Regulation
      • 5.11.3.2 SEC Rule 17a-4
      • 5.11.3.3 ISO/IEC 27001
      • 5.11.3.4 System and Organization Controls 2 Type II
      • 5.11.3.5 Financial Industry Regulatory Authority
      • 5.11.3.6 Freedom of Information Act
      • 5.11.3.7 Health Insurance Portability and Accountability Act
  • 5.12 PORTER'S FIVE FORCES ANALYSIS
    • 5.12.1 THREAT OF NEW ENTRANTS
    • 5.12.2 THREAT OF SUBSTITUTES
    • 5.12.3 BARGAINING POWER OF SUPPLIERS
    • 5.12.4 BARGAINING POWER OF BUYERS
    • 5.12.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.13 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS FOR TOP END USERS
    • 5.13.2 BUYING CRITERIA
  • 5.14 BUSINESS MODEL ANALYSIS
    • 5.14.1 CLOUD SERVICE PROVIDER (CSP) MODEL
    • 5.14.2 COLOCATION MODEL
    • 5.14.3 WHOLESALE LEASING MODEL
    • 5.14.4 INTERCONNECTION ECOSYSTEM MODEL
    • 5.14.5 SELF-OWNED MODEL
  • 5.15 INVESTMENT & FUNDING SCENARIO
  • 5.16 HYPERSCALE DATA CENTER MARKET, BY REGION
  • 5.17 UPCOMING PROJECTS FOR HYPERSCALE DATA CENTER MARKET
    • 5.17.1 META
    • 5.17.2 TIM ENTERPRISE
    • 5.17.3 COLOGIX
    • 5.17.4 COLT DCS
  • 5.18 FUTURE OF HYPERSCALE DATA CENTER MARKET
  • 5.19 IMPACT OF AI/GEN AI ON HYPERSCALE DATA CENTER MARKET
    • 5.19.1 CASE STUDY
      • 5.19.1.1 Romania's first hyperscale data center efficiently met modern AI workload demands
    • 5.19.2 VENDOR INITIATIVE
      • 5.19.2.1 Keppel Ltd.
      • 5.19.2.2 Schneider Electric
      • 5.19.2.3 Microsoft
  • 5.20 CASE STUDY ANALYSIS
    • 5.20.1 CHINA MOBILE INTERNATIONAL COLT EMPLOYED DCS TOKYO INZAI 3 HYPERSCALE DATA CENTRE TO SCALE QUICKLY AND GIVE ITS CUSTOMERS EASY ACCESS TO JAPANESE MARKET.
    • 5.20.2 AOFEI LEVERAGED COLT DCS HYPERSCALE DATA CENTRE EXPERTISE AND GLOBAL PRESENCE TO EXPAND ITS INTERNATIONAL NETWORK
    • 5.20.3 ECMD COMBINED CRAFTSMANSHIP, DIGITAL INNOVATION, AND GLOBAL VIEW TO MEET 100% OF ITS CUSTOMER NEEDS WITH INFINIBOX'S INFINIDAT
    • 5.20.4 RADORE MODERNIZED DATA CENTER INFRASTRUCTURE WITH HUAWEI

6 HYPERSCALE DATA CENTER MARKET, BY COMPONENT

  • 6.1 INTRODUCTION
    • 6.1.1 COMPONENTS: HYPERSCALE DATA CENTER MARKET DRIVERS
  • 6.2 HARDWARE
    • 6.2.1 NEED FOR HARDWARE COMPONENTS FOR ROBUST INFRASTRUCTURE TO DRIVE MARKET
    • 6.2.2 ELECTRICAL INFRASTRUCTURE
      • 6.2.2.1 UPS systems
      • 6.2.2.2 Power Distribution Units (PDU)
      • 6.2.2.3 Generators
      • 6.2.2.4 Other electrical infrastructure
    • 6.2.3 IT INFRASTRUCTURE
      • 6.2.3.1 Server infrastructure
      • 6.2.3.2 Storage infrastructure
      • 6.2.3.3 Network infrastructure
    • 6.2.4 MECHANICAL INFRASTRUCTURE
      • 6.2.4.1 Cooling systems
        • 6.2.4.1.1 Air cooling system
        • 6.2.4.1.2 Liquid cooling system
      • 6.2.4.2 Racks
  • 6.3 SOFTWARE
    • 6.3.1 MANAGEMENT
      • 6.3.1.1 Infrastructure management
      • 6.3.1.2 Cloud management
      • 6.3.1.3 Orchestration & automation
    • 6.3.2 MONITORING
      • 6.3.2.1 Performance monitoring
      • 6.3.2.2 Security monitoring
      • 6.3.2.3 Network monitoring
      • 6.3.2.4 Application monitoring
    • 6.3.3 OPERATIONAL
      • 6.3.3.1 Data management & analytics
      • 6.3.3.2 Backup & Disaster Recovery (DR)
  • 6.4 SERVICES
    • 6.4.1 PROFESSIONAL
      • 6.4.1.1 Installation & deployment
      • 6.4.1.2 Maintenance & support
      • 6.4.1.3 Training & education
    • 6.4.2 MANAGED SERVICES

7 HYPERSCALE DATA CENTER MARKET, BY DEPLOYMENT TYPE

  • 7.1 INTRODUCTION
    • 7.1.1 DEPLOYMENT TYPES: HYPERSCALE DATA CENTER MARKET DRIVERS
  • 7.2 GREENFIELD
    • 7.2.1 NEED FOR SPECIALIZED ENVIRONMENT FOR HANDLING SENSITIVE DATA TO ACCELERATE MARKET GROWTH
  • 7.3 BROWNFIELD
    • 7.3.1 NEED FOR COST-EFFECTIVENESS AND SCALABILITY TO BOOST DEMAND FOR BROWNFIELD DEPLOYMENT OF HYPERSCALE DATA CENTERS

8 HYPERSCALE DATA CENTER MARKET, BY POWER CAPACITY

  • 8.1 INTRODUCTION
  • 8.2 10-50 MW
  • 8.3 51-100 MW
  • 8.4 ABOVE 101 MW

9 HYPERSCALE DATA CENTER MARKET, BY END USER

  • 9.1 INTRODUCTION
    • 9.1.1 END USERS: HYPERSCALE DATA CENTER MARKET DRIVERS
  • 9.2 CLOUD SERVICE PROVIDERS
    • 9.2.1 CLOUD SERVICE PROVIDERS: APPLICATION AREAS
      • 9.2.1.1 Disaster Recovery as a Service (DRaaS)
      • 9.2.1.2 Artificial Intelligence (AI) and Machine Learning (ML)
      • 9.2.1.3 High-Performance Computing (HPC)
  • 9.3 COLOCATION SERVICE PROVIDERS
    • 9.3.1 COLOCATION PROVIDER: APPLICATION AREAS
      • 9.3.1.1 High Performance Computing (HPC)
      • 9.3.1.2 Cross-regional data replication
      • 9.3.1.3 Managed security services
  • 9.4 ENTERPRISES
    • 9.4.1 BFSI
    • 9.4.2 BFSI: USE CASES
      • 9.4.2.1 Real-time fraud detection
      • 9.4.2.2 Digital banking enablement
    • 9.4.3 HEALTHCARE & LIFE SCIENCES
    • 9.4.4 HEALTHCARE & LIFE SCIENCES: USE CASES
      • 9.4.4.1 AI-powered diagnostic
      • 9.4.4.2 Heath data interoperability
    • 9.4.5 TECHNOLOGY
    • 9.4.6 TECHNOLOGY: USE CASES
      • 9.4.6.1 AI model training & development
      • 9.4.6.2 IoT device management
    • 9.4.7 TELECOMMUNICATIONS
    • 9.4.8 TELECOMMUNICATIONS: USE CASES
      • 9.4.8.1 5G network deployment
      • 9.4.8.2 Cloud-based VoIP
    • 9.4.9 GOVERNMENT & DEFENSE
    • 9.4.10 GOVERNMENT & DEFENSE: USE CASES
      • 9.4.10.1 Digital citizen services
      • 9.4.10.2 Broader surveillance system
    • 9.4.11 RETAIL & ECOMMERCE
    • 9.4.12 RETAIL & ECOMMERCE: USE CASES
      • 9.4.12.1 Inventory management system
      • 9.4.12.2 Augmented Reality (AR) shopping experience
    • 9.4.13 MEDIA & ENTERTAINMENT
    • 9.4.14 MEDIA & ENTERTAINMENT: USE CASES
      • 9.4.14.1 High-quality video streaming
      • 9.4.14.2 Content recommendation system
    • 9.4.15 MANUFACTURING
    • 9.4.16 MANUFACTURING: USE CASES
      • 9.4.16.1 Industrial Internet of Things (IIoT)
      • 9.4.16.2 Predictive maintenance analytics
    • 9.4.17 OTHER ENTERPRISES
    • 9.4.18 OTHER ENTERPRISES: USE CASES
      • 9.4.18.1 Smart city solutions
      • 9.4.18.2 Education tech platform
      • 9.4.18.3 Travel & hospitality

10 HYPERSCALE DATA CENTER MARKET, BY REGION

  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    • 10.2.1 NORTH AMERICA: HYPERSCALE DATA CENTER MARKET DRIVERS
    • 10.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
    • 10.2.3 US
      • 10.2.3.1 Substantial investments in digital infrastructure and rapid adoption of cloud and AI technologies to drive market
    • 10.2.4 CANADA
      • 10.2.4.1 Growing expansion of data centers and adoption of digital transformation by businesses to propel market
  • 10.3 EUROPE
    • 10.3.1 EUROPE: HYPERSCALE DATA CENTER MARKET DRIVERS
    • 10.3.2 EUROPE: MACROECONOMIC OUTLOOK
    • 10.3.3 UK
      • 10.3.3.1 Increasing reliance on data centers and AI technologies and growing demand for huge data processing and storage to fuel market growth
    • 10.3.4 GERMANY
      • 10.3.4.1 Rising demand for advanced digital infrastructure to support data-intensive operations and innovation to accelerate market growth
    • 10.3.5 FRANCE
      • 10.3.5.1 Rising need for extensive processing power and large-scale storage to foster market growth
    • 10.3.6 ITALY
      • 10.3.6.1 Evolving digital technologies and surging need for resilient digital infrastructure to bolster market growth
    • 10.3.7 POLAND
      • 10.3.7.1 Increasing demand for data processing capabilities and expansion of high-capacity network coverage of high-capacity network coverage to boost market growth
    • 10.3.8 SWEDEN
      • 10.3.8.1 Abundant green energy resources, strong digital infrastructure, and supportive government policies to bolster market growth
    • 10.3.9 HUNGARY
      • 10.3.9.1 Increasing adoption of cloud computing adoption to drive demand for hyperscale data centers
    • 10.3.10 REST OF EUROPE
  • 10.4 ASIA PACIFIC
    • 10.4.1 ASIA PACIFIC: HYPERSCALE DATA CENTER MARKET DRIVERS
    • 10.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
    • 10.4.3 CHINA
      • 10.4.3.1 Surging AI demand and government investments to fuel market growth
    • 10.4.4 JAPAN
      • 10.4.4.1 Rapid technological advancements and increasing demand for reliable digital infrastructure to drive market
    • 10.4.5 ANZ
      • 10.4.5.1 Increased reliance on digital infrastructure and expansion of high-performance computing systems to propel market
    • 10.4.6 REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    • 10.5.1 MIDDLE EAST & AFRICA: HYPERSCALE DATA CENTER MARKET DRIVERS
    • 10.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    • 10.5.3 GULF COOPERATION COUNCIL COUNTRIES
      • 10.5.3.1 Growing demand for uninterrupted and enhanced operational continuity of smart cities to foster market growth
      • 10.5.3.2 KSA
      • 10.5.3.3 UAE
      • 10.5.3.4 Rest of GCC countries
    • 10.5.4 TURKEY
      • 10.5.4.1 Need for high-capacity resources to handle massive amounts of data from video games to fuel market growth
    • 10.5.5 SOUTH AFRICA
      • 10.5.5.1 Surge in new digital infrastructure to boost market
    • 10.5.6 REST OF MIDDLE EAST & AFRICA
  • 10.6 LATIN AMERICA
    • 10.6.1 LATIN AMERICA: HYPERSCALE DATA CENTER MARKET DRIVERS
    • 10.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
    • 10.6.3 BRAZIL
      • 10.6.3.1 Expanding industrial sector and ongoing digital advancements to influence market growth
    • 10.6.4 MEXICO
      • 10.6.4.1 Increasing reliance on digital infrastructure to drive market
    • 10.6.5 REST OF LATIN AMERICA

11 COMPETITIVE LANDSCAPE

  • 11.1 INTRODUCTION
  • 11.2 STRATEGIES ADOPTED BY KEY PLAYERS/RIGHT TO WIN
  • 11.3 MARKET SHARE ANALYSIS
  • 11.4 REVENUE ANALYSIS, 2019-2023
  • 11.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    • 11.5.1 STARS
    • 11.5.2 EMERGING LEADERS
    • 11.5.3 PERVASIVE PLAYERS
    • 11.5.4 PARTICIPANTS
  • 11.6 BRAND/PRODUCT COMPARISON
    • 11.6.1 COMPANY FOOTPRINT: KEY PLAYERS, 2023
      • 11.6.1.1 Company footprint
      • 11.6.1.2 Component footprint
      • 11.6.1.3 Power capacity footprint
      • 11.6.1.4 End-user footprint
      • 11.6.1.5 Regional footprint
  • 11.7 COMPANY EVALUATION MATRIX: START-UPS/SMES, 2023
    • 11.7.1 PROGRESSIVE COMPANIES
    • 11.7.2 RESPONSIVE COMPANIES
    • 11.7.3 DYNAMIC COMPANIES
    • 11.7.4 STARTING BLOCKS
    • 11.7.5 COMPETITIVE BENCHMARKING: START-UPS/SMES, 2023
      • 11.7.5.1 Detailed list of key start-ups/SMEs
      • 11.7.5.2 Competitive benchmarking of start-ups/SMEs
  • 11.8 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
    • 11.8.1 COMPANY VALUATION
    • 11.8.2 FINANCIAL METRICS
  • 11.9 COMPETITIVE SCENARIO
    • 11.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
    • 11.9.2 DEALS

12 COMPANY PROFILES

  • 12.1 INTRODUCTION
  • 12.2 MAJOR PLAYERS
    • 12.2.1 AWS
      • 12.2.1.1 Business overview
      • 12.2.1.2 Products/Solutions/Services offered
      • 12.2.1.3 Recent developments
        • 12.2.1.3.1 Product enhancements
      • 12.2.1.4 MnM view
        • 12.2.1.4.1 Right to win
        • 12.2.1.4.2 Strategic choices
        • 12.2.1.4.3 Weaknesses & competitive threats
    • 12.2.2 GOOGLE
      • 12.2.2.1 Business overview
      • 12.2.2.2 Products/Solutions/Services offered
      • 12.2.2.3 Recent developments
        • 12.2.2.3.1 Expansion
      • 12.2.2.4 MnM view
        • 12.2.2.4.1 Right to win
        • 12.2.2.4.2 Strategic choices
        • 12.2.2.4.3 Weaknesses & competitive threats
    • 12.2.3 ORACLE
      • 12.2.3.1 Business overview
      • 12.2.3.2 Products/Solutions/Services offered
      • 12.2.3.3 Recent developments
        • 12.2.3.3.1 Product launches
        • 12.2.3.3.2 Deals
      • 12.2.3.4 MnM view
        • 12.2.3.4.1 Right to win
        • 12.2.3.4.2 Strategic choices
        • 12.2.3.4.3 Weaknesses & competitive threats
    • 12.2.4 MICROSOFT
      • 12.2.4.1 Business overview
      • 12.2.4.2 Products/Solutions/Services offered
      • 12.2.4.3 Recent developments
        • 12.2.4.3.1 Deals
      • 12.2.4.4 MnM view
        • 12.2.4.4.1 Right to win
        • 12.2.4.4.2 Strategic choices
        • 12.2.4.4.3 Weaknesses & competitive threats
    • 12.2.5 ALIBABA
      • 12.2.5.1 Business overview
      • 12.2.5.2 Products/Solutions/Services offered
      • 12.2.5.3 Recent developments
        • 12.2.5.3.1 Deals
        • 12.2.5.3.2 Expansion
      • 12.2.5.4 MnM view
        • 12.2.5.4.1 Right to win:
        • 12.2.5.4.2 Strategic choices:
        • 12.2.5.4.3 Weaknesses & competitive threats:
    • 12.2.6 IBM
      • 12.2.6.1 Business overview
      • 12.2.6.2 Products/Solutions/Services offered
      • 12.2.6.3 Recent developments
      • 12.2.6.4 MnM view
        • 12.2.6.4.1 Right to win
        • 12.2.6.4.2 Strategic choices
        • 12.2.6.4.3 Weaknesses and competitive threats
    • 12.2.7 TENCENT
      • 12.2.7.1 Business overview
      • 12.2.7.2 Products/Solutions/Services offered
      • 12.2.7.3 Recent developments
        • 12.2.7.3.1 Deals
    • 12.2.8 HPE
      • 12.2.8.1 Business overview
      • 12.2.8.2 Products/Solutions/Services offered
      • 12.2.8.3 Recent developments
        • 12.2.8.3.1 Product launches
    • 12.2.9 ARISTA NETWORKS
      • 12.2.9.1 Business overview
      • 12.2.9.2 Products/Solutions/Services offered
      • 12.2.9.3 Recent developments
    • 12.2.10 DELL
      • 12.2.10.1 Business overview
      • 12.2.10.2 Products/Solutions/Services offered
      • 12.2.10.3 Recent developments
        • 12.2.10.3.1 Product enhancements
        • 12.2.10.3.2 Deals
  • 12.3 OTHER PLAYERS
    • 12.3.1 CISCO
    • 12.3.2 NVIDIA
    • 12.3.3 VERTIV
    • 12.3.4 NLYTE SOFTWARE
    • 12.3.5 ABB
    • 12.3.6 QUANTA CLOUD TECHNOLOGY
    • 12.3.7 ADANICONNEX
    • 12.3.8 EATON
    • 12.3.9 COLT DATA CENTER SERVICES
    • 12.3.10 RITTAL
    • 12.3.11 PENGUINE SOLUTIONS
    • 12.3.12 INFINIDAT
    • 12.3.13 ENERGY VAULT

13 ADJACENT/RELATED MARKETS

  • 13.1 INTRODUCTION
    • 13.1.1 RELATED MARKETS
    • 13.1.2 LIMITATIONS
  • 13.2 MODULAR DATA CENTER MARKET
  • 13.3 DATA CENTER LIQUID COOLING MARKET

14 APPENDIX

  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS
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