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세계의 클라우드 컴퓨팅 시장(2020-2025년) : PaaS, IaaS, EaaS(Everything-as-a-service)

Cloud Computing Services, Platforms Infrastructure and Everything as a Service 2020 - 2025

리서치사 Mind Commerce
발행일 2020년 06월 상품 코드 943908
페이지 정보 영문 138 Pages
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세계의 클라우드 컴퓨팅 시장(2020-2025년) : PaaS, IaaS, EaaS(Everything-as-a-service) Cloud Computing Services, Platforms Infrastructure and Everything as a Service 2020 - 2025
발행일 : 2020년 06월 페이지 정보 : 영문 138 Pages

세계의 클라우드 컴퓨팅 매출 규모는 예측기간 중 24.8%의 CAGR로 확대되어 2025년에는 3,420억 달러로 성장할 것으로 예측됩니다. 특히 IaaS 스토리지 및 관련 컴퓨팅 매출 규모는 단독으로 2025년에 429억 달러에 달할 전망입니다. 클라우드 컴퓨팅 시장은 신종 코로나바이러스 감염증(COVID-19)의 영향에도 불구하고 계속해서 견조하게 성장할 전망입니다.

IaaS(Infrastructure as a Service), PaaS(Platform as a Service), SaaS(Software as a Service)를 포함한 클라우드 컴퓨팅 서비스 시장을 조사했으며, 기술 정의와 개요, 에코시스템, 주요 최종 이용 산업, 시장 성장에 대한 각종 영향요인 분석, 매출 규모 추정과 예측, 도입 방식·서비스 구분·지역 등 각종 세분화별 내역, 사례 연구, 캐리어 클라우드 서비스 예측, 시장 전개, 주요 기업 개요 등을 정리했습니다.

제1장 주요 요약

제2장 서론

제3장 클라우드 컴퓨팅 : 기술과 시장

  • 사업의 제공 가치
  • 에코시스템
  • 클라우드 컴퓨팅의 통신
  • 시장 세분화
  • 용도
    • 정부기관
    • 은행·금융
    • 헬스케어
    • 소매
    • 제조
    • 자동차
    • 농업
  • 성장 촉진요인
  • 시장 과제

제4장 클라우드 컴퓨팅 : 세계 시장 전망

  • 클라우드 컴퓨팅 매출 예측
  • 매출 예측 : 도입 방식별
  • 매출 예측 : 소프트웨어·플랫폼·인프라별
    • IaaS
    • SaaS
    • PaaS
  • 클라우드 서비스 매출 예측
    • 클라우드 기반 BPaaS(Business Process as a Service)
    • 클라우드 데이터 이동 서비스
    • 클라우드 광고
    • 클라우드 결제
    • 클라우드 기반 DaaS(Data as a Service)
    • 클라우드 기반 CaaS(Communication as a Service)
  • 클라우드 컴퓨팅 매출 예측 : 지역별
    • 북미
    • 서유럽
    • 중국
  • 클라우드 컴퓨팅 매출 예측 : 산업별
    • 정부
    • 금융
    • 헬스케어
    • 소매
    • 제조
    • 자동차
    • 농업

제5장 IoT 클라우드 서비스

  • IoT : 개요
  • 주요 벤더
  • 시장 전망

제6장 클라우드 컴퓨팅 사례 연구

제7장 캐리어 클라우드 서비스

  • 개요
  • 캐리어 클라우드
  • 모바일 엣지 컴퓨팅
  • 캐리어 클라우드 시장 전망
    • 캐리어 클라우드 매출 예측
    • 캐리어 클라우드 매출 예측 : 지역별
    • 캐리어 클라우드 매출 예측 : 산업별
    • 캐리어 클라우드 매출 예측 : 서비스·솔루션별
    • 캐리어 분산형 컴퓨팅 시장
    • 세계의 MEC 대응 애플리케이션 매출 예측

제8장 주요 시장 전개

  • M&A
  • 투자

제9장 주요 기업 개요

  • Amazon Web Services, Inc.
  • Microsoft
  • Alibaba
  • Google
  • IBM
  • VMware
  • Oracle
  • Rackspace
  • Salesforce
  • Adobe
  • Verizon

제10장 부록 : 클라우드 컴퓨팅의 기초

KSM 20.07.13

Overview:

‘Cloud Computing Services, Platforms Infrastructure and Everything as a Service 2020 - 2025’ evaluates the global and regional markets for cloud Services including IaaS, PaaS, and PaaS by solution type (Private and Public). The report provides analysis of specific challenges and opportunities from both the customer and the cloud services provider perspective.

The report evaluates the general cloud service market as well as specific market opportunities within the healthcare, energy, insurance, entertainment, and financial services sectors. The report also evaluates the emerging growth drivers for cloud services including wearable technologies. It also includes specific recommendations for CSPs and their customers.

Cloud is an enabler of business process change as it facilitates key benefits including expenditure reduction (CapEx and OpEx), service development and delivery efficiencies, and greater flexibility to meet evolving business needs. Cloud technologies and solutions are becoming increasingly more important to communication service providers, enterprise, content and commerce providers. This is particularly the case as many businesses IT departments predominantly implement virtualization of network functions and "softwaritization" of applications and operational support systems through the use of software defined network solutions.

Clouded based technologies are evolving at a rapid pace along with the myriad of ways in which services can be developed, implemented, and operated. Various players in the cloud ecosystem achieve varying degrees of sustainability in accordance with their ability to identify gaps in IT infrastructure and/or services delivery regardless of what technologies are in place today and anticipate how methods and procedures will need to evolve to capture future opportunities.

Mind Commerce sees IT departments becoming increasingly savvy regarding the distinction between core cloud and edge computing used for distributed cloud computing. Fog computing represents an evolution of cloud computing that takes into account the need for some computing to occur at the edge of networks. It will be very important for the Internet of Things (IoT). However, it will raise some serious issues regarding data security and overall data management. One of the key areas will be big data analytics in terms of how real-time data is managed and optimized.

Similar to fog computing, but based on a different architectural approach, Mobile Edge Computing (MEC) represents cloud-computing capabilities and an IT service environment at the edge of mobile networks, such as LTE or 5G, but may also include WiFi. In cellular networks, the edge of the network includes base station infrastructure and data centers close to the radio network, which can extract network context from Radio Access Network (RAN) and process in a distributed manner.

MEC brings virtualized applications much closer to mobile users ensuring network flexibility, economy and scalability for improved user experience. It facilitates a service environment that allows seamless access experience and responsiveness for content, services, and applications. It provides mobile network operators with an opportunity to play a greater role in an emerging ecosystem as they can add value through optimized apps and content.

Supported by leading organizations such as ETSI ISG, IBM, Intel, Nokia Network, Huawei, NTT DoCoMo, Saguna, and Vodafone, MEC will be applied in a wide array of areas including content delivery, DNS caching, RAN optimization, offloading, IoT connectivity, distributed video, critical communications, and urban security. MEC is also anticipated to create a new ecosystem that will positively impact various vertical markets.

Arguably, a corporation's most critical asset is its data. As a result, optimizing data management assets, processes, and procedures is of particular importance. This includes those data elements that are shared between the numerous applications, systems and services within the enterprise across all industry verticals. Only through reliable data management services can organizations truly realize the true potential of their own data as well as data from customers, suppliers, partners, and various third parties.

From an enterprise cloud services and infrastructure perspective, having a firm understanding of data management technologies and solutions is critical to all constituents in the value chain for all industry verticals. ICT leaders will be faced with many emerging challenges such as data management in the IoT era, advanced cloud architectures and solutions such as fog computing or MEC. As cloud computing evolves, there is an increasing need for third-party support of cloud platforms, architectures, and services. Support takes the form of various cloud professional services ranging from data management, cloud brokering, and end-to-end cloud management.

Target Audience:

  • Cloud computing vendors
  • Communication service providers
  • Telecom and IT infrastructure providers
  • Virtualization and SDN solution providers
  • Communication and collaboration vendors

Select Report Findings:

  • Global cloud computing revenue will reach $342B by 2025 at 24.8% CAGR
  • Global IaaS storage and related computing revenue alone will reach $42.9B by 2025
  • Major impact of edge computing will initially be computing efficiency improvements
  • Inclusion of AI within 30% of core networks and 45% of distributed notes by application
  • Cloud computing will continue to have a broadly positive impact despite COVID-19 pandemic

Report Benefits:

  • Cloud computing services and infrastructure forecasts through 2025
  • Understand the key industry success factors for continued industry growth
  • Identify the impact of dominant industry trends upon vendor decision making
  • Recognize the role and importance of edge computing relative to core cloud infrastructure
  • Identify revenue opportunities by segment, technology, solution, platform type, and industry

Table of Contents

1.0. Executive Summary

2.0. Introduction

  • 2.1. Overview
  • 2.2. Study Scope

3.0. Cloud Computing Technology and Markets

  • 3.1. Business Value Proposition
  • 3.2. Cloud Computing Ecosystem
  • 3.3. Telecom in Cloud Computing
  • 3.4. Cloud Computing Market Segmentation
  • 3.5. Cloud Computing Applications
    • 3.5.1. Government Institutions
    • 3.5.2. Banking & Financial
    • 3.5.3. Healthcare
    • 3.5.4. Retail
    • 3.5.5. Manufacturing
    • 3.5.6. Automotive
    • 3.5.7. Agriculture
  • 3.6. Cloud Computing Market Growth Drivers
  • 3.7. Cloud Computing Market Challenges

4.0. Global Cloud Computing Market Outlook

  • 4.1. Global Cloud Computing Revenue 2020-2025
  • 4.2. Revenue by Cloud Computing Deployment Type
  • 4.3. Global Cloud Revenue by Software, Platform, and Infrastructure
    • 4.3.1. Global Cloud Computing IaaS Revenue by Sub-segment 2020-2025
    • 4.3.2. Global Cloud Computing SaaS Revenue by Sub-segment 2020-2025
    • 4.3.3. Global Cloud Computing PaaS Revenue by Sub-segment 2020-2025
  • 4.4. Global Cloud Services Revenue 2020-2025
    • 4.4.1. Cloud Based Business Process as a Service
    • 4.4.2. Cloud Data Migration Services
    • 4.4.3. Cloud Based Advertising
    • 4.4.4. Cloud Based Payments
    • 4.4.5. Cloud Based Data as a Service
    • 4.4.6. Cloud Based Communication as a Service
  • 4.5. Regional Cloud Computing Market Outlook
    • 4.5.1. North American Cloud Computing Market
    • 4.5.2. Western European Cloud Computing Market
    • 4.5.3. China Cloud Computing Market
  • 4.6. Global Cloud Computing Revenue by Industry Vertical 2020-2025
    • 4.6.1. Global Cloud Computing Revenue in Government Sector 2020-2025
    • 4.6.2. Global Cloud Computing Revenue in Financial Sector 2020-2025
    • 4.6.3. Global Cloud Computing Revenue in Healthcare 2020-2025
    • 4.6.4. Global Cloud Computing Revenue in Retail Sector 2020-2025
    • 4.6.5. Global Cloud Computing Revenue in Manufacturing 2020-2025
    • 4.6.6. Global Cloud Computing Revenue in Automobile Sector 2020-2025
    • 4.6.7. Global Cloud Computing Revenue in Agriculture 2020-2025

5.0. Cloud Services in IoT

  • 5.1. IoT Overview
    • 5.1.1. IoT will Drive Massive Data Storage and Processing Needs
    • 5.1.2. Processing Cloud IoT Data
    • 5.1.3. Dealing with Centralized Storage and Decentralized Processing
    • 5.1.4. Data Security and Personal Information Privacy are the Biggest Hurdles
    • 5.1.5. Enhanced Tools needed for Machine Generated Data in IoT
    • 5.1.6. Cloud Data Management for IoT Devices
  • 5.2. Leading Vendors in IoT Cloud Computing
  • 5.3. Cloud Computing in IoT Market Outlook

6.0. Cloud Computing Case Studies

7.0. Carrier Cloud Services

  • 7.1. Overview
  • 7.2. Carrier Clouds
  • 7.3. Mobile Edge Computing
    • 7.3.1. MEC Benefits to Carriers
    • 7.3.2. Commercialization of MEC
  • 7.4. Carrier Cloud Market Outlook
    • 7.4.1. Global Carrier Cloud Revenue 2020-2025
    • 7.4.2. Carrier Cloud Revenue by Region 2020-2025
    • 7.4.3. Global Carrier Cloud Revenue by Industry Vertical 2020-2025
    • 7.4.4. Global Carrier Cloud Revenue by Services and Solutions 2020-2025
    • 7.4.5. Carrier Distributed Computing Market
    • 7.4.6. Global MEC Enabled Application Revenue 2020-2025

8.0. Important Cloud Computing Industry Developments

  • 8.1. Cloud Computing Mergers and Acquisitions
  • 8.2. Cloud Computing Investments

9.0. Select Companies in Cloud Computing and Infrastructure

  • 9.1. Amazon Web Services, Inc.
    • 9.1.1. Company Overview
    • 9.1.2. Cloud Computing Portfolio
    • 9.1.3. Recent Developments
  • 9.2. Microsoft
    • 9.2.1. Company Overview
    • 9.2.2. Cloud Computing Portfolio
    • 9.2.3. Recent Developments
  • 9.3. Alibaba
    • 9.3.1. Company Overview
    • 9.3.2. Cloud Computing Portfolio
    • 9.3.3. Recent Developments
  • 9.4. Google
    • 9.4.1. Company Overview
    • 9.4.2. Cloud Computing Portfolio
    • 9.4.3. Recent Developments
  • 9.5. IBM
    • 9.5.1. Company Overview
    • 9.5.2. Cloud Computing Portfolio
    • 9.5.3. Recent Developments
  • 9.6. VMware
    • 9.6.1. Company Overview
    • 9.6.2. Cloud Computing Portfolio
    • 9.6.3. Recent Developments
  • 9.7. Oracle
    • 9.7.1. Company Overview
    • 9.7.2. Cloud Computing Portfolio
    • 9.7.3. Recent Developments
  • 9.8. Rackspace
    • 9.8.1. Company Overview
    • 9.8.2. Cloud Computing Portfolio
    • 9.8.3. Recent Developments
  • 9.9. Salesforce
    • 9.9.1. Company Overview
    • 9.9.2. Cloud Computing Portfolio
    • 9.9.3. Recent Developments
  • 9.10. Adobe
    • 9.10.1. Company Overview
    • 9.10.2. Cloud Computing Portfolio
    • 9.10.3. Recent Developments
  • 9.11. Verizon
    • 9.11.1. Company Overview
    • 9.11.2. Cloud Computing Portfolio
    • 9.11.3. Recent Developments

10.0. Appendix: Fundamentals of Cloud Computing

  • 10.1. Cloud Computing Deployment Model Categories
  • 10.2. Cloud Technologies and Architecture
  • 10.3. Cloud Computing and Virtualization
  • 10.4. Moving Beyond Cloud Computing
  • 10.5. Rise of the Cloud-Based Networked Enterprise
  • 10.6. General Cloud Service Enablers
    • 10.6.1. Wireless Broadband Connectivity
    • 10.6.2. Security Solutions
    • 10.6.3. Presence and Location
  • 10.7. Personal Cloud Service Enablers
    • 10.7.1. Identity Management
    • 10.7.2. Preference Management
  • 10.8. Cloud Computing Services
    • 10.8.1. Infrastructure as a Service (IaaS)
    • 10.8.2. Platform as a Service (PaaS)
    • 10.8.3. Software as a Service (SaaS)
  • 10.9. Emerging Models: XaaS (Everything as a Service)
    • 10.9.1. Business Process as a Service (BPaaS)
    • 10.9.2. Communication as a Service (CaaS)
    • 10.9.3. Monitoring as a Service (MaaS)
    • 10.9.4. Network-as-a-service (NaaS)
    • 10.9.5. Storage as a Service (SaaS)
  • 10.10. APIs and Database
  • 10.11. The Need for Federated Database Model
  • 10.12. Enterprise Resource Planning (ERP) in the Cloud
  • 10.13. Supply Chain Management in the Cloud
  • 10.14. Emerging Cloud Based Applications
    • 10.14.1. B2B Applications
    • 10.14.2. B2C Applications
    • 10.14.3. Entertainment in the Cloud: TV, Video, Gaming and More
  • 10.15. Cloud Myths and Realities

11.0. Appendix: MEC Technology and Solutions

  • 11.1. MEC Characteristics
    • 11.1.1. Processing at the Edge
    • 11.1.2. Low Latency Network
    • 11.1.3. Context Based Service
    • 11.1.4. Location Service and Analytics
  • 11.2. Benefits of MEC
    • 11.2.1. MEC Business Benefits
    • 11.2.2. Technical Benefits
    • 11.2.3. Communication Service Provider Specific Benefits
  • 11.3. MEC Architecture and Platforms
    • 11.3.1. MEC Platform Architecture and Building Blocks
    • 11.3.2. MEC Value Chain for Edge Cloud
  • 11.4. MEC Technology and Building Blocks
    • 11.4.1. Radio Network Information Service
    • 11.4.2. Traffic Offload Function
    • 11.4.3. Interface
    • 11.4.4. Configuration Management
    • 11.4.5. Application Lifecycle Management
    • 11.4.6. Hardware Virtualization and Infrastructure Management System
    • 11.4.7. Core Network Elements

Figures

  • Figure 1: Cloud Computing Enterprise Applications
  • Figure 2: Cloud Computing Market Segmentation
  • Figure 3: Global Cloud Computing Revenue 2020 - 2025
  • Figure 4: Global Cloud Computing Revenue by SaaS, PaaS, and IaaS 2020 - 2025
  • Figure 5: Global Cloud Services Revenue 2020 - 2025
  • Figure 6: Cloud Computing Revenue by Region 2020 - 2025
  • Figure 7: Global Cloud Computing Revenue in Government Sector 2020 - 2025
  • Figure 8: Global Cloud Computing Revenue in Financial Sector 2020 - 2025
  • Figure 9: Global Cloud Computing Revenue in Healthcare 2020 - 2025
  • Figure 10: Global Cloud Computing Revenue in Retail Sector 2020 - 2025
  • Figure 11: Global Cloud Computing Revenue in Manufacturing 2020 - 2025
  • Figure 12: Global Cloud Computing Revenue in Automobile Sector 2020 - 2025
  • Figure 13: Global Cloud Computing Revenue in Agriculture 2020 - 2025
  • Figure 14: Cloud Based IoT Data Processing
  • Figure 15: Distributed Cloud IoT Data Architecture
  • Figure 16: IoT Data will NOT be Simply Stored in the Cloud
  • Figure 17: Real-time IoT Data Management and Analytics
  • Figure 18: Security in IoT Data Architecture
  • Figure 19: Cloud Computing Architecture
  • Figure 20: Server Virtualization Architecture
  • Figure 21: Deployment Ratio of by Categories of SaaS Application
  • Figure 22: Difference between IaaS, PaaS, and SaaS
  • Figure 23: Cloud Services and APIs
  • Figure 24: Cloud ERP vs. On-premise ERP
  • Figure 25: SCM Cloud Structure

Tables

  • Table 1: Global Cloud Computing Revenue 2020 - 2025
  • Table 2: Revenue by Cloud Computing Deployment Type
  • Table 3: Global Cloud Computing Revenue by SaaS, PaaS, and IaaS 2020 - 2025
  • Table 4: Global Cloud Computing IaaS by Sub-segment 2020 - 2025
  • Table 5: Global Cloud Computing SaaS Revenue by Sub-segment 2020 - 2025
  • Table 6: Global Cloud Computing PaaS Revenue by Sub-segment 2020 - 2025
  • Table 7: Global Cloud Services Revenue 2020 - 2025
  • Table 8: Global Revenues for Cloud Services by Sub-segments
  • Table 9: Cloud Computing Revenue by Region 2020 - 2025
  • Table 10: Global Cloud Computing Revenue by Industry Vertical 2020 - 2025
  • Table 11: Global Cloud Computing Revenue in Government Sector 2020 - 2025
  • Table 12: Global Cloud Computing Revenue in Financial Sector 2020 - 2025
  • Table 13: Global Cloud Computing Revenue in Healthcare 2020 - 2025
  • Table 14: Global Cloud Computing Revenue in Retail Sector 2020 - 2025
  • Table 15: Global Cloud Computing Revenue in Manufacturing 2020 - 2025
  • Table 16: Global Cloud Computing Revenue in Automobile Sector 2020 - 2025
  • Table 17: Global Cloud Computing Revenue in Agriculture 2020 - 2025
  • Table 18: Global Carrier Cloud Revenue 2020 - 2025
  • Table 19: Carrier Cloud Revenue by Region 2020 - 2025
  • Table 20: Global Carrier Cloud Revenue by Industry Vertical 2020 - 2025
  • Table 21: Global Carrier Cloud Revenue by Services and Solutions 2020 - 2025
  • Table 22: Global Revenues for Centralized Carrier Cloud Services 2020 - 2025
  • Table 23: Global MEC Revenue by Application 2020 - 2025
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