시장보고서
상품코드
1525680

프라이빗 클라우드 시장 : 시장 규모, 점유율, 성장 분석, 서비스 모델별, 유형별, 조직 규모별, 산업별, 지역별 - 예측(-2029년)

Private Cloud Market Size, Share, Growth Analysis, By Type (Virtual, On-premises, Hosted, Managed), Service Model (PaaS, PaaS, SaaS), Organization Size (Large Enterprises, SMEs), Vertical and Region - Global Industry Forecast to 2029

발행일: | 리서치사: MarketsandMarkets | 페이지 정보: 영문 314 Pages | 배송안내 : 즉시배송

    
    
    




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

세계 프라이빗 클라우드 시장 규모는 2024년 1,248억 달러에서 2029년 1,909억 달러로 예측 기간 동안 8.9%의 CAGR로 성장할 것으로 예상됩니다.

그 결과, 머신러닝과 자연어 처리 모델을 통합한 Gen AI가 탄생했으며, 빅데이터 처리 및 기타 알고리즘 계산을 위해 신뢰할 수 있고 방어적인 프레임워크가 사용됩니다. 프라이빗 클라우드는 개인 정보 처리에 필요한 모든 보안, 제어 및 컴플라이언스를 제공하기 때문에 Gen AI를 배포하는 데 이상적입니다. 클라우드 상의 컴퓨터에서 운영되는 이 건전한 아키텍처는 이러한 위협에 노출될 여력이 없는 조직의 알고리즘과 데이터가 노출되지 않도록 보장하는 동시에, 조직은 해당 운영 산업의 산업 표준을 충족할 수 있는 위치에 있습니다.

조사 범위
조사 대상 연도 2019-2029년
기준 연도 2023년
예측 기간 2024-2029년
검토 단위 달러(10억 달러)
부문 서비스 모델별, 유형별, 조직 규모별, 산업별, 지역별
대상 지역 북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카

사실 기업들은 프라이빗 클라우드와 Gen AI를 통해 엄청난 수준의 자동화, 개인화, 분석을 실현할 수 있습니다. 의료, 은행 및 금융, 자동차, 제조 등 많은 분야가 이러한 발전의 혜택을 가장 많이 받을 것으로 보입니다. 예를 들어, 의료 분야에서는 프라이빗 클라우드 기반의 Gen AI 환경에서 데이터 보안 문제 없이 환자별 맞춤 솔루션, 환자 상태에 따른 질병 예후 예측, 주민의 자동화된 데이터 관리가 가능해질 것입니다. 금융 분야에서는 부정행위 결과, 리스크 평가, 챗봇의 효율적인 가상 비서 생성 및 기타 여러 가지 보고를 강화할 수 있습니다. 또한, 규모에 따라 조직의 프라이빗 클라우드를 적절히 관리할 수 있도록 도와줍니다. 리소스 사용을 AI 워크로드 요구사항과 연계하여 리소스 활용을 최적화하고 비용을 절감할 수 있습니다. 이는 혁신, 운영, 경쟁력 및 각 유형의 비즈니스 포지셔닝을 가져오는 통합을 형성합니다. 프라이빗 클라우드와 Gen AI가 정교해지고 고도화됨에 따라 양자의 인터페이스와 통합이 명확하게 설정되면, 엔터프라이즈 기술 그 너머의 역량은 디지털 절차에서 보다 혁신적이고 안전한 변화의 수단으로 재정의될 것으로 보입니다.

프라이빗 클라우드 시장은 유형별로 관리형 프라이빗 클라우드, 가상 프라이빗 클라우드, 온프레미스 프라이빗 클라우드, 호스트형 프라이빗 클라우드로 구분됩니다. 관리형 프라이빗 클라우드 분야는 프라이빗 클라우드 시장 예측 기간 동안 가장 높은 CAGR로 성장할 것으로 예상됩니다. 매니지드 프라이빗 클라우드는 공급자가 클라우드 솔루션의 관리와 유지보수를 전담하는 프라이빗 클라우드 솔루션으로, 모니터링, 유지보수, 백업 및 보안을 포함합니다. 여기에는 모니터링, 유지보수, 백업, 문제 해결 등이 포함되며, 기업은 운영 작업 없이도 클라우드의 이점을 누릴 수 있습니다. 매니지드 서비스는 유연성과 맞춤형 솔루션을 제공하여 생산성, 보안 및 규정 준수를 향상시킵니다.

프라이빗 클라우드 시장은 조직 규모에 따라 대기업과 중소기업으로 나뉩니다. 대기업 부문이 가장 큰 시장 점유율을 차지하고 있습니다. 프라이빗 클라우드는 관리형 IT 환경에서 제어, 보안, 유연성을 강화할 수 있기 때문에 특히 대기업에 필수적입니다. 이러한 솔루션은 기업이 컴플라이언스 요건을 충족하기 위해 더 높은 수준의 보안을 유지할 수 있는 데이터를 처리할 수 있도록 돕습니다. 또한, 기존 프라이빗 클라우드는 IT 환경의 기존 네트워크와의 통합을 용이하게 하여 최고 수준의 성능과 안정성을 보장하면서 특정 비즈니스 요구사항과 관련된 가장 바람직한 수준의 유연성을 달성할 수 있습니다.

이 보고서는 세계 프라이빗 클라우드 시장을 조사하여 서비스 모델별, 유형별, 조직 규모별, 산업별, 지역별 동향, 시장 진입 기업 개요 등을 정리한 보고서입니다.

목차

제1장 소개

제2장 조사 방법

제3장 주요 요약

제4장 주요 인사이트

제5장 시장 개요와 업계 동향

  • 소개
  • 시장 역학
  • 사례 연구 분석
  • 생태계 분석
  • 밸류체인 분석
  • 가격 분석
  • 특허 분석
  • 기술 분석
  • 규제 상황
  • Porter's Five Forces 분석
  • 주요 회의와 이벤트
  • 고객의 비즈니스에 영향을 미치는 동향/혼란
  • 주요 이해관계자와 구입 기준
  • 구입 기준
  • 비즈니스 모델 분석
  • 투자와 자금 조달 시나리오
  • 프라이빗 클라우드의 미래
  • AI/GEN AI가 프라이빗 클라우드 시장에 미치는 영향
  • 업계 동향 : 이용 사례

제6장 프라이빗 클라우드 시장(서비스 모델별)

  • 소개
  • INFRASTRUCTURE-AS-A-SERVICE(IAAS)
  • PLATFORM-AS-A-SERVICE(PAAS)
  • SOFTWARE-AS-A-SERVICE(SAAS)

제7장 프라이빗 클라우드 시장(유형별)

  • 소개
  • 온프레미스 프라이빗 클라우드
  • 호스트형 프라이빗 클라우드
  • 매니지드 프라이빗 클라우드
  • 가상 프라이빗 클라우드

제8장 프라이빗 클라우드 시장(조직 규모별)

  • 소개
  • 중소기업
  • 대기업

제9장 프라이빗 클라우드 시장(업계별)

  • 소개
  • BFSI
  • IT·통신
  • 헬스케어·생명과학
  • 정부·공공부문
  • 소매·소비재
  • 제조
  • 에너지·유틸리티
  • 기타

제10장 프라이빗 클라우드 시장(지역별)

  • 소개
  • 북미
  • 유럽
  • 아시아태평양
  • 중동 및 아프리카
  • 라틴아메리카

제11장 경쟁 상황

  • 개요
  • 주요 진출 기업 전략/비책
  • 시장 점유율 분석
  • 브랜드/제품 비교
  • 매출 분석
  • 기업 평가 매트릭스 : 주요 진출 기업
  • 기업 평가 매트릭스 : 스타트업/중소기업, 2023년
  • 기업 가치 평가와 재무 지표
  • 경쟁 시나리오

제12장 기업 개요

  • 소개
  • 주요 진출 기업
    • MICROSOFT
    • AWS
    • VMWARE
    • IBM
    • HPE
    • GOOGLE
    • ORACLE
    • ALIBABA CLOUD
    • SAP
    • CISCO
  • 기타 기업
    • OVHCLOUD
    • DIGITALOCEAN
    • RACKSPACE TECHNOLOGY
    • HUAWEI
    • ATOS
    • KYNDRYL
    • NUTANIX
    • TENCENT CLOUD
    • DELL TECHNOLOGIES
    • OPENSTACK
    • INVICTA LINUX
    • G42 CLOUD
    • BSIMPLIFY
    • UPCLOUD
    • SAFECLOUDBOX
    • OPER8 GLOBAL
    • VULTR
    • SCALEWAY
    • CASBAY
    • SAICOM

제13장 인접 시장과 관련 시장

제14장 부록

ksm 24.08.08

The global private cloud market will grow from USD 124.8 billion in 2024 to USD 190.9 billion by 2029 at a compounded annual growth rate (CAGR) of 8.9% during the forecast period. The coming year is predicted to experience severe disruption in the evolution of different organizations' adoption of private cloud solutions with Generative AI or Gen AI; this results in Gen AI incorporating machine learning and natural language processing models; reliable and defense-run frameworks are used to process the big data and do other algorithmic computations. Private clouds are ideal for deploying Gen AI because they offer all the security, control, and compliance necessary to process private information. This sound architecture of operating with computers in the cloud ensures that the organizational algorithms and data that cannot afford to be vulnerable to these threats will not be exposed; at the same time, the organizations are in a position to meet the industry standards of their respective operational industries.

Scope of the Report
Years Considered for the Study2019-2029
Base Year2023
Forecast Period2024-2029
Units ConsideredUSD (Billion)
SegmentsType, Organization Size, Service Model, and Vertical
Regions coveredNorth America, Europe, Asia Pacific, Middle East Africa, and Latin America

The fact is that organizations will be able to utilize private clouds with Gen AI to achieve extraordinary levels of automation, individualization, and analytics. Many sectors, such as health, banking and finance, automobile, and manufacturing, will benefit most from these developments. For instance, healthcare enables individual solutions for each patient, disease prognosis based on the patient's condition, and auto-data management for the residents without causing data insecurity issues in a private cloud-based Gen AI environment. In finance, it can enhance the outcome of fraud, risk assessment, generation of efficient virtual assistants in chatbots, and numerous other reports. Their scale also helps appropriately manage an organization's private cloud. It relates the resource utilization to the needs of Gen AI workload to optimize resource use and cut expenses. It will form the integration that results in innovation, operation, competitiveness, and business positioning for their types. As private clouds and gen AI are sophisticated and advanced, when the interface or integration of the two is set as definite, then the beyond capabilities of enterprise technology will be redefined as a more innovative and safer means of transformation in the digital procedure.

By type, the managed private cloud holds the highest CAGR during the forecast period.

The private cloud market, by type, is segmented into managed private cloud, virtual private cloud, on-premises private cloud, and hosted private cloud. The managed private cloud segment is estimated to grow at the highest CAGR during the forecasted private cloud market. A managed private cloud is a private cloud solution where the provider is solely responsible for managing and maintaining the cloud solution. This includes monitoring, maintenance, backup, and troubleshooting, enabling the organization to enjoy the benefits of the cloud without performing operational tasks. Managed service improves productivity, security, and compliance by providing flexibility and customized solutions. For example, Rackspace Technology has a managed private cloud offering called Rackspace Managed Private Cloud, which allows companies to deploy applications on dedicated hardware with the help of Rackspace's cloud professionals. This service assists organizations in concentrating on their key activities, critical projects, and programs. At the same time, they leave the specifics of cloud management to Rackspace because it will be done effectively and efficiently, and it will be secure and compliant.

The large enterprises segment holds the largest market share during the forecast period based on organization size.

The private cloud market is divided by organization size into large enterprises and SMEs. The large enterprise segment holds the largest market share. Private cloud is essential, especially to large enterprises, as it facilitates enhanced control, security, and flexibility in the managed IT environment. These solutions help enterprises to work with data, which can have higher security levels to fit the compliance requirements. Traditional private clouds also facilitate integration with the currently existing networks in the IT environment and, thus, allow for the attainment of the most desirable level of flexibility associated with specific business needs while guaranteeing the highest levels of performance and reliability.

For instance, a prominent business organization operating in the fiscal area often comes across many customers' details and dealings. Adopting the private cloud implies that data will be managed and stored within the institution's closed system and will not be seen by the general public. Thus, there will be few cases of data theft and other compliance problems concerning financial institutions. This configuration allows for establishing different security needs and resource partitioning for each application, which is vital for achieving the high availability and disaster recovery standards expected of the institution.

Based on the PaaS, the application development & deployment segment holds the highest CAGR during the forecast period.

The PaaS service model segments the private cloud market into application development & deployment, application testing & quality, and data analytics & processing. The application development & deployment segment is expected to hold the highest CAGR during the forecast period. Application development and deployment for the PaaS service model in the private cloud market maintain a straightforward and efficient application life cycle process. It offers developers comprehensive tools, frameworks, and services for developing applications, testing and deploying them, and managing the applications. It also boosts security since it comes with components such as authentication, encryption, and access control for data security and compliance. Finally, application developments and deployment as PaaS in private cloud environments help in time to market, increase productivity, decrease operational cost, and at the same time maintain enhanced security and scalability.

Breakdown of primaries

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

  • By Company: Tier I: 35%, Tier II: 25%, and Tier III: 40%
  • By Designation: C-Level Executives: 25%, Director Level: 30%, and Others: 45%
  • By Region: North America: 42%, Europe: 25%, Asia Pacific: 18%, Rest of World: 15%

Some of the significant private cloud market vendors are Microsoft (US), Google (US), IBM (US), AWS (US), Oracle (US), VMware (US), Alibaba Cloud (China), HPE (US), Cisco (US), and SAP (Germany).

Research coverage:

In the market report, we covered the private cloud market across segments. We estimated the market size and growth potential for many segments based on type, service model, organization size, vertical, 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 private cloud 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 (Increasing demand for data security, Customization and control over IT infrastructure, Enhanced performance, and reliability), restraints (High initial costs, Complexity of implementation and management), opportunities (Integration with hybrid cloud solutions, Emphasis on sustainability and green IT), and challenges (Vendor lock-in and interoperability challenges, Limited elasticity and flexibility, Cyberattacks posing risks of business disruption and data loss) influencing the growth of the private cloud market.

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

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS AND EXCLUSIONS
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKET SEGMENTATION
    • 1.3.2 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH APPROACH
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakup of Primary Interviews
      • 2.1.2.2 Key Industry Insights
  • 2.2 MARKET BREAKUP AND 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 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR PLAYERS IN PRIVATE CLOUD MARKET
  • 4.2 PRIVATE CLOUD MARKET, BY TYPE
  • 4.3 PRIVATE CLOUD MARKET, BY SERVICE MODEL
  • 4.4 PRIVATE CLOUD MARKET, BY ORGANIZATION SIZE
  • 4.5 PRIVATE CLOUD MARKET, BY VERTICAL
  • 4.6 PRIVATE CLOUD MARKET, BY REGION

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Increasing demand for data security
      • 5.2.1.2 Customization and control over IT infrastructure
      • 5.2.1.3 Enhanced performance and reliability
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 High initial costs
      • 5.2.2.2 Complexity of implementation and management
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Integration with hybrid cloud solutions
      • 5.2.3.2 Emphasis on sustainability and green IT
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Vendor lock-in and interoperability challenges
      • 5.2.4.2 Limited elasticity and flexibility
      • 5.2.4.3 Cyberattacks posing risks of business disruption and data loss
  • 5.3 CASE STUDY ANALYSIS
    • 5.3.1 BEN & JERRY'S AIMED TO STORE AND SHARE FILES USING DROPBOX
    • 5.3.2 AWS CLOUD AIDED WITH COST-CUTTING ADVANTAGE & GROWTH MULTIPLIER FOR IT FIRM
    • 5.3.3 DEKA IMMOBILIEN SCALED UP IN CONTENT CLOUD
  • 5.4 ECOSYSTEM ANALYSIS
  • 5.5 VALUE CHAIN ANALYSIS
  • 5.6 PRICING ANALYSIS
    • 5.6.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOLUTION
    • 5.6.2 AVERAGE SELLING PRICE TRENDS
  • 5.7 PATENT ANALYSIS
  • 5.8 TECHNOLOGY ANALYSIS
    • 5.8.1 KEY TECHNOLOGIES
      • 5.8.1.1 Virtualization
      • 5.8.1.2 Software-defined Networking (SDN)
      • 5.8.1.3 Automation & Orchestration
    • 5.8.2 COMPLEMENTARY TECHNOLOGIES
      • 5.8.2.1 Edge Computing
      • 5.8.2.2 Blockchain
      • 5.8.2.3 AI & ML
    • 5.8.3 ADJACENT TECHNOLOGIES
      • 5.8.3.1 Internet of Things
      • 5.8.3.2 5G Technology
  • 5.9 REGULATORY LANDSCAPE
    • 5.9.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.9.2 REGULATIONS, BY REGION
      • 5.9.2.1 North America
      • 5.9.2.2 Europe
      • 5.9.2.3 Asia Pacific
      • 5.9.2.4 Middle East & South Africa
      • 5.9.2.5 Latin America
    • 5.9.3 REGULATORY IMPLICATIONS AND INDUSTRY STANDARDS
      • 5.9.3.1 General Data Protection Regulation (GDPR)
      • 5.9.3.2 SEC Rule 17a-4
      • 5.9.3.3 ISO/IEC 27001
      • 5.9.3.4 System and Organization Controls 2 Type II Compliance
      • 5.9.3.5 Financial Industry Regulatory Authority (FINRA)
      • 5.9.3.6 Freedom of Information Act (FOIA)
      • 5.9.3.7 Health Insurance Portability and Accountability Act (HIPAA)
  • 5.10 PORTER'S FIVE FORCES' ANALYSIS
    • 5.10.1 THREAT OF NEW ENTRANTS
    • 5.10.2 THREAT OF SUBSTITUTES
    • 5.10.3 BARGAINING POWER OF SUPPLIERS
    • 5.10.4 BARGAINING POWER OF BUYERS
    • 5.10.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.11 KEY CONFERENCES AND EVENTS
  • 5.12 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
  • 5.13 KEY STAKEHOLDERS & BUYING CRITERIA
    • 5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 5.14 BUYING CRITERIA
  • 5.15 BUSINESS MODEL ANALYSIS
    • 5.15.1 PAY-AS-YOU-GO
    • 5.15.2 SUBSCRIPTION MODEL
    • 5.15.3 FREEMIUM
    • 5.15.4 CUSTOM PRICING AGREEMENT
  • 5.16 INVESTMENT & FUNDING SCENARIO
  • 5.17 FUTURE OF PRIVATE CLOUD
  • 5.18 IMPACT OF AI/GEN AI ON PRIVATE CLOUD MARKET
  • 5.19 INDUSTRY TRENDS: USE CASES
    • 5.19.1 USE CASE 1: RETAIL & E-COMMERCE INDUSTRY
    • 5.19.2 USE CASE 2: HEALTHCARE & LIFE SCIENCES INDUSTRY
    • 5.19.3 TOP CLIENTS ADAPTING TO GEN AI
      • 5.19.3.1 HPE
      • 5.19.3.2 VMware

6 PRIVATE CLOUD MARKET, BY SERVICE MODEL

  • 6.1 INTRODUCTION
    • 6.1.1 SERVICE MODELS: PRIVATE CLOUD MARKET DRIVERS
  • 6.2 INFRASTRUCTURE-AS-A-SERVICE (IAAS)
    • 6.2.1 COMPUTE
      • 6.2.1.1 Compute-intensive applications to offer affordability, scalability, integration, and load balancing
      • 6.2.1.2 Virtual machines (VMs)
      • 6.2.1.3 Bare metals
      • 6.2.1.4 Containers
    • 6.2.2 NETWORK
      • 6.2.2.1 Offers VPN, load balancing, firewall, and SDN networking for secure and high-performing networks
      • 6.2.2.2 Virtual network
      • 6.2.2.3 VPN gateways
    • 6.2.3 STORAGE
      • 6.2.3.1 Helps in organizing data and its storage & backup and archival
      • 6.2.3.2 Block storage
      • 6.2.3.3 File storage
  • 6.3 PLATFORM-AS-A-SERVICE (PAAS)
    • 6.3.1 APPLICATION DEVELOPMENT & DEPLOYMENT
      • 6.3.1.1 Application development to lead to cost-efficiency, scalability, and rapid development
      • 6.3.1.2 Application hosting
      • 6.3.1.3 Container orchestration
    • 6.3.2 DATA ANALYTICS & PROCESSING
      • 6.3.2.1 Analytics and processing applications to enhance performance and decision-making
      • 6.3.2.2 Big data processing
      • 6.3.2.3 Business intelligence
    • 6.3.3 APPLICATION TESTING & QUALITY
      • 6.3.3.1 Growing preference for effective testing strategy systems, user interfaces, and APIs
      • 6.3.3.2 CI/CD tools
      • 6.3.3.3 Automated testing
  • 6.4 SOFTWARE-AS-A-SERVICE (SAAS)
    • 6.4.1 BUSINESS APPLICATIONS
      • 6.4.1.1 SaaS business applications integrate into companies' operations to improve processes
      • 6.4.1.2 Customer relationship management
      • 6.4.1.3 Enterprise resource planning
      • 6.4.1.4 Project management
    • 6.4.2 COLLABORATION & PRODUCTIVITY TOOLS
      • 6.4.2.1 Enables real-time collaboration among distributed teams, fostering seamless communication and knowledge sharing
      • 6.4.2.2 Email & communication
      • 6.4.2.3 Document management & collaboration
      • 6.4.2.4 Team collaboration

7 PRIVATE CLOUD MARKET, BY TYPE

  • 7.1 INTRODUCTION
    • 7.1.1 TYPES: PRIVATE CLOUD MARKET DRIVERS
  • 7.2 ON-PREMISES PRIVATE CLOUD
    • 7.2.1 INTEGRATION OF CLOUD COMPUTING WITH ALL ADVANTAGES OF ONSITE SOLUTIONS AND LOCAL INFRASTRUCTURE
  • 7.3 HOSTED PRIVATE CLOUD
    • 7.3.1 DATA LOSS AND ISSUES RELATED TO REGULATORY COMPLIANCE TO DRIVE PREFERENCE FOR HOSTED PRIVATE CLOUD
  • 7.4 MANAGED PRIVATE CLOUD
    • 7.4.1 ENABLE ORGANIZATIONS TO HARNESS CLOUD BENEFITS WITHOUT NECESSARILY HANDLING OPERATIONAL TASKS
  • 7.5 VIRTUAL PRIVATE CLOUD
    • 7.5.1 ORGANIZATIONS CAN CREATE THEIR VIRTUAL TOPOLOGY IN TERMS OF SUBNETS, IP ADDRESSES, AND ROUTING

8 PRIVATE CLOUD MARKET, BY ORGANIZATION SIZE

  • 8.1 INTRODUCTION
    • 8.1.1 ORGANIZATION SIZES: PRIVATE CLOUD MARKET DRIVERS
  • 8.2 SMALL AND MEDIUM-SIZED ENTERPRISES
    • 8.2.1 CLOUD SERVICES TO EMPOWER SMES TO HOST THEIR APPLICATIONS
  • 8.3 LARGE ENTERPRISES
    • 8.3.1 RISING ADOPTION OF PRIVATE CLOUD COMPUTING IN LARGE ENTERPRISES TO IMPROVE PRODUCTIVITY AND EFFICIENCY

9 PRIVATE CLOUD MARKET, BY VERTICAL

  • 9.1 INTRODUCTION
    • 9.1.1 VERTICALS: PRIVATE CLOUD MARKET DRIVERS
  • 9.2 BFSI
    • 9.2.1 NEED TO DECREASE EXPENSES, ENCOURAGE INNOVATION, AND INCREASE FLEXIBILITY
    • 9.2.2 BFSI: USE CASES
      • 9.2.2.1 Data security & privacy
      • 9.2.2.2 Customer relationship management
      • 9.2.2.3 Fraud detection & prevention
  • 9.3 IT & TELECOM
    • 9.3.1 ENTERPRISE VIDEO SOLUTIONS ENCOURAGE IT COMPANIES TO TRANSFER KNOWLEDGE AND INFORMATION THROUGH VIDEOS
    • 9.3.2 IT & TELECOM: USE CASES
      • 9.3.2.1 Software development & testing
      • 9.3.2.2 Disaster recovery & business continuity
      • 9.3.2.3 Smart infrastructure
  • 9.4 HEALTHCARE & LIFE SCIENCES
    • 9.4.1 INCREASED FOCUS ON MANAGING PATIENTS' RECORDS
    • 9.4.2 HEALTHCARE & LIFE SCIENCES: USE CASES
      • 9.4.2.1 Electronic health record (EHR) management
      • 9.4.2.2 Data analytics for research
      • 9.4.2.3 Administrative management
  • 9.5 GOVERNMENT & PUBLIC SECTOR
    • 9.5.1 NEED FOR GOVERNMENT AGENCIES TO GAIN GREATER VISIBILITY AND FASTER DATA ANALYSIS TO DRIVE MARKET
    • 9.5.2 GOVERNMENT & PUBLIC SECTOR: USE CASES
      • 9.5.2.1 Government infrastructure migration
      • 9.5.2.2 Digital government & e-government services
      • 9.5.2.3 Inter-agency collaboration
  • 9.6 RETAIL & CONSUMER GOODS
    • 9.6.1 DEMAND FOR BETTER STORAGE, BACKUP, AND SECURITY SERVICES
    • 9.6.2 RETAIL & CONSUMER GOODS: USE CASES
      • 9.6.2.1 Point-of-sale systems
      • 9.6.2.2 Online shopping & e-commerce
      • 9.6.2.3 Security & loss prevention
      • 9.6.2.4 Customer behavioral analysis
  • 9.7 MANUFACTURING
    • 9.7.1 SEAMLESS DATA MANAGEMENT AND REAL-TIME VISIBILITY OFFERED BY PRIVATE CLOUD COMPUTING SERVICES
    • 9.7.2 MANUFACTURING: USE CASES
      • 9.7.2.1 Supply chain management
      • 9.7.2.2 Product lifecycle management
      • 9.7.2.3 Manufacturing execution systems (MES)
  • 9.8 ENERGY & UTILITIES
    • 9.8.1 ADDRESSING ISSUES RELATED TO CRUDE OIL, STORAGE, AND TRANSPORTATION
    • 9.8.2 ENERGY & UTILITIES: USE CASES
      • 9.8.2.1 Smart grid management
      • 9.8.2.2 Energy monitoring & management
      • 9.8.2.3 Renewable energy forecasting
  • 9.9 OTHER VERTICALS

10 PRIVATE CLOUD MARKET, BY REGION

  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    • 10.2.1 NORTH AMERICA: PRIVATE CLOUD MARKET DRIVERS
    • 10.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
    • 10.2.3 US
      • 10.2.3.1 Presence of private cloud providers to drive market
    • 10.2.4 CANADA
      • 10.2.4.1 Increased R&D and focus on long-term infrastructure plan for private cloud
  • 10.3 EUROPE
    • 10.3.1 EUROPE: PRIVATE CLOUD MARKET DRIVERS
    • 10.3.2 EUROPE: MACROECONOMIC OUTLOOK
    • 10.3.3 UK
      • 10.3.3.1 Increase in digitalization and rapid surge in mobile devices to accelerate market growth
    • 10.3.4 GERMANY
      • 10.3.4.1 High demand for private cloud among startups in Germany
    • 10.3.5 FRANCE
      • 10.3.5.1 Focus on equipping public sector operations with private cloud solutions
    • 10.3.6 SPAIN
      • 10.3.6.1 Expansion plans and road maps of "hyper scalers" to drive market
    • 10.3.7 ITALY
      • 10.3.7.1 Smart city initiatives and digital transformation to fuel market growth
    • 10.3.8 REST OF EUROPE
  • 10.4 ASIA PACIFIC
    • 10.4.1 ASIA PACIFIC: PRIVATE CLOUD MARKET DRIVERS
    • 10.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
    • 10.4.3 CHINA
      • 10.4.3.1 Low costs and enhanced business efficiencies to boost demand for cloud-based technologies
    • 10.4.4 JAPAN
      • 10.4.4.1 High involvement of SMEs in cloud adoption to drive market
    • 10.4.5 AUSTRALIA & NEW ZEALAND
      • 10.4.5.1 Rapid technological advancements and high degree of R&D to foster market growth
    • 10.4.6 INDIA
      • 10.4.6.1 Broad customer base and rapid adoption of new technologies to drive market
    • 10.4.7 REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    • 10.5.1 MIDDLE EAST & AFRICA: PRIVATE CLOUD MARKET DRIVERS
    • 10.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    • 10.5.3 GULF COOPERATION COUNCIL COUNTRIES
      • 10.5.3.1 Driving digital transformation to improve operational efficiency
      • 10.5.3.2 KSA
      • 10.5.3.3 UAE
      • 10.5.3.4 Other GCC countries
    • 10.5.4 SOUTH AFRICA
      • 10.5.4.1 High adoption of cloud services by startups due to low costs and operational benefits to propel market
    • 10.5.5 REST OF MIDDLE EAST & AFRICA
  • 10.6 LATIN AMERICA
    • 10.6.1 LATIN AMERICA: PRIVATE CLOUD MARKET DRIVERS
    • 10.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
    • 10.6.3 BRAZIL
      • 10.6.3.1 Need to modernize infrastructure and greater speed in catering to business demands to boost market
    • 10.6.4 MEXICO
      • 10.6.4.1 Need to enhance employee experience and increase organizational productivity to drive market
    • 10.6.5 REST OF LATIN AMERICA

11 COMPETITIVE LANDSCAPE

  • 11.1 OVERVIEW
  • 11.2 KEY PLAYERS' STRATEGIES/RIGHT TO WIN
  • 11.3 MARKET SHARE ANALYSIS
  • 11.4 BRAND/PRODUCT COMPARISON
  • 11.5 REVENUE ANALYSIS
  • 11.6 COMPANY EVALUATION MATRIX FOR KEY PLAYERS
    • 11.6.1 STARS
    • 11.6.2 EMERGING LEADERS
    • 11.6.3 PERVASIVE PLAYERS
    • 11.6.4 PARTICIPANTS
    • 11.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
  • 11.7 COMPANY EVALUATION MATRIX: STARTUPS/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: STARTUPS/SMES, 2023
  • 11.8 COMPANY VALUATION AND FINANCIAL METRICS
  • 11.9 COMPETITIVE SCENARIO
    • 11.9.1 PRODUCT LAUNCHES & ENHANCEMENTS
    • 11.9.2 DEALS

12 COMPANY PROFILES

  • 12.1 INTRODUCTION
  • 12.2 MAJOR PLAYERS
    • 12.2.1 MICROSOFT
      • 12.2.1.1 Business overview
      • 12.2.1.2 Products/Solutions/Services offered
      • 12.2.1.3 Recent developments
      • 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 AWS
      • 12.2.2.1 Business overview
      • 12.2.2.2 Products/Solutions/Services offered
      • 12.2.2.3 Recent developments
      • 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 and competitive threats
    • 12.2.3 VMWARE
      • 12.2.3.1 Business overview
      • 12.2.3.2 Products/Solutions/Services offered
      • 12.2.3.3 Recent developments
      • 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 and competitive threats
    • 12.2.4 IBM
      • 12.2.4.1 Business overview
      • 12.2.4.2 Products/Solutions/Services offered
      • 12.2.4.3 Recent developments
      • 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 and competitive threats
    • 12.2.5 HPE
      • 12.2.5.1 Business overview
      • 12.2.5.2 Products/Solutions/Services offered
      • 12.2.5.3 Recent developments
      • 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 and competitive threats
    • 12.2.6 GOOGLE
      • 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 ORACLE
      • 12.2.7.1 Business overview
      • 12.2.7.2 Products/Solutions/Services offered
      • 12.2.7.3 Recent developments
    • 12.2.8 ALIBABA CLOUD
      • 12.2.8.1 Business overview
      • 12.2.8.2 Products/Solutions/Services offered
      • 12.2.8.3 Recent developments
    • 12.2.9 SAP
      • 12.2.9.1 Business overview
      • 12.2.9.2 Products/Solutions/Services offered
      • 12.2.9.3 Recent developments
    • 12.2.10 CISCO
      • 12.2.10.1 Business overview
      • 12.2.10.2 Products/Solutions/Services offered
      • 12.2.10.3 Recent developments
  • 12.3 OTHER PLAYERS
    • 12.3.1 OVHCLOUD
    • 12.3.2 DIGITALOCEAN
    • 12.3.3 RACKSPACE TECHNOLOGY
    • 12.3.4 HUAWEI
    • 12.3.5 ATOS
    • 12.3.6 KYNDRYL
    • 12.3.7 NUTANIX
    • 12.3.8 TENCENT CLOUD
    • 12.3.9 DELL TECHNOLOGIES
    • 12.3.10 OPENSTACK
    • 12.3.11 INVICTA LINUX
    • 12.3.12 G42 CLOUD
    • 12.3.13 BSIMPLIFY
    • 12.3.14 UPCLOUD
    • 12.3.15 SAFECLOUDBOX
    • 12.3.16 OPER8 GLOBAL
    • 12.3.17 VULTR
    • 12.3.18 SCALEWAY
    • 12.3.19 CASBAY
    • 12.3.20 SAICOM

13 ADJACENT AND RELATED MARKETS

  • 13.1 INTRODUCTION
    • 13.1.1 RELATED MARKETS
    • 13.1.2 LIMITATIONS
  • 13.2 CLOUD COMPUTING MARKET
  • 13.3 PUBLIC CLOUD 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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