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Telecom Cloud Market to Surpass US$ 105.7 Billion by 2030

The global telecom cloud market size is expected to reach around US$ 105.7 billion by 2030 and is expected to grow at an impressive double-digit rate of 14.45% from 2022 to 2030.

Telecom Cloud Market Size 2021 to 2030

The study includes drivers and restraints of this market. The study provides an analysis of the global telecom cloud market for the period 2017-2030, wherein 2022 to 2030 is the forecast period and 2021 is considered as the base year.

Report Scope of the Telecom Cloud Market

Report CoverageDetails
Market Size by 2030USD 53.6  Billion
CAGR from 2022 to 2030

CAGR of 10.1%

Largest MarketAsia-Pacific 
Fastest Growing Market Europe
Base Year2021
Forecast Period2022 to 2030
Segments CoveredProduct, Packaging Type, Distribution Channel, Geography

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  • Updated Report Includes Major Market Players with their Sales Volume, Business Strategy and Revenue Analysis by using Precedence Research methodology.

Download Free Sample Copy Here (Including TOC, List of Tables & Figures, and Chart) @ https://www.precedenceresearch.com/sample/1725

Research Methodology

A unique research methodology has been utilized to conduct comprehensive research on the growth of the global telecom cloud market and arrive at conclusions on the future growth prospects of the market. This research methodology is a combination of primary and secondary research, which helps analysts warrant the accuracy and reliability of the draw conclusions. Secondary sources referred to by analysts during the production of the global market report include statistics from company annual reports, SEC filings, company websites, World Bank database, investor presentations, regulatory databases, government publications, and industry white papers. Analysts have also interviewed senior managers, product portfolio managers, CEOs, VPs, and market intelligence managers, who contributed to the production of our study on the market as a primary source.

These primary and secondary sources provided exclusive information during interviews, which serves as a validation from mattress topper industry leaders. Access to an extensive internal repository and external proprietary databases allows this report to address specific details and questions about the global telecom cloud market with accuracy. The study also uses the top-down approach to assess the numbers for each segment and the bottom-up approach to counter-validate them. This has helped to estimates the future prospects of the global market more reliable and accurate.

Why should you invest in this report?

If you are aiming to enter the global telecom cloud market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for telecom cloud are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030, so that you can plan your strategies to enter this market accordingly.

Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.

Some of the prominent players in the global telecom cloud market include:

  • AT&T Inc.
  • Telus Corporation
  • China Telecommunications Corporation
  • T-Mobile International AG
  • Fusion Telecommunications International, Inc.
  • Verizon Communications, Inc.
  • CenturyLink, Inc.
  • NTT Communications Corporation
  • Telstra Corporation Limited
  • BT Group PLC

Market Segmentation:

By Deployment Mode

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

By Type

  • Solutions
    • Unified Communication and Collaboration
    • Content Delivery Network
    • Other Solutions
  • Services
    • Colocation Services
    • Network Services
    • Management Service
      • Content Management
      • Supply Chain Management
      • Business Support system(BSS)

By Computing Service

  • IaaS
  • PaaS
  • SaaS

By Organization Size

  • SMEs
  • Large Enterprise

By Application

  • Data Storage
  • Achieving
  • Computing
  • Enterprise Application
    • Cloud delievery model
    • Communication and collaboration
    • Network cloud migration
    • Over-The-Top
  • Other Applications

End User

  • BFSI
  • Retail and Consumer Goods
  • Healthcare and Life Sciences
  • Media and Entertainment
  • Government
  • Automotive
  • Energy and Utilities
  • Other End Users

Regional Analysis:

The geographical analysis of the global telecom cloud market has been done for North America, Europe, Asia-Pacific, and the Rest of the World.

The North American Market is again segmented into the US, Canada, and Mexico. Coming to the European Market, it can be segmented further into the UK, Germany, France, Italy, Spain, and the rest. Coming to the Asia-Pacific, the global telecom cloud Market is segmented into China, India, Japan, and Rest of Asia Pacific. Among others, the market is segmented into the Middle East and Africa, (GCC, North Africa, South Africa and Rest of the Middle East & Africa).

Key Questions Answered by the Report:

  • What will be the size of the global telecom cloud market in 2030?
  • What is the expected CAGR for the telecom cloud market between 2021 and 2030?
  • Which are the top players active in this global market?
  • What are the key drivers of this global market?
  • How will the market situation change in the coming years?
  • Which region held the highest market share in this global market?
  • What are the common business tactics adopted by players?
  • What is the growth outlook of the global telecom cloud market?

TABLE OF CONTENT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. End User Procurement Analysis 

4.3.2. Sales and Distribution Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Telecom Cloud Market 

5.1. COVID-19 Landscape: Telecom Cloud Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Telecom Cloud Market, By Deployment Mode

8.1. Telecom Cloud Market, by Deployment Mode, 2022-2030

8.1.1. Public Cloud

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Private Cloud

8.1.2.1. Market Revenue and Forecast (2017-2030)

8.1.3. Hybrid Cloud

8.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Telecom Cloud Market, By Type

9.1. Telecom Cloud Market, by Type, 2022-2030

9.1.1. Solutions

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Services

9.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Telecom Cloud Market, By Computing Service

10.1. Telecom Cloud Market, by Computing Service, 2022-2030

10.1.1. IaaS

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. PaaS

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. SaaS

10.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Telecom Cloud Market, By Organization Size

11.1. Telecom Cloud Market, by Organization Size, 2022-2030

11.1.1. SMEs

11.1.1.1. Market Revenue and Forecast (2017-2030)

11.1.2. Large Enterprise

11.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 12. Global Telecom Cloud Market, By Application

12.1. Telecom Cloud Market, by Application, 2022-2030

12.1.1. Data Storage

12.1.1.1. Market Revenue and Forecast (2017-2030)

12.1.2. Achieving

12.1.2.1. Market Revenue and Forecast (2017-2030)

12.1.3. Computing

12.1.3.1. Market Revenue and Forecast (2017-2030)

12.1.4. Enterprise Application

12.1.4.1. Market Revenue and Forecast (2017-2030)

12.1.5. Other Applications

12.1.5.1. Market Revenue and Forecast (2017-2030)

Chapter 13. Global Telecom Cloud Market, By End User

13.1. Telecom Cloud Market, by End User, 2022-2030

13.1.1. BFSI

13.1.1.1. Market Revenue and Forecast (2017-2030)

13.1.2. Retail and Consumer Goods

13.1.2.1. Market Revenue and Forecast (2017-2030)

13.1.3. Healthcare and Life Sciences

13.1.3.1. Market Revenue and Forecast (2017-2030)

13.1.4. Media and Entertainment

13.1.4.1. Market Revenue and Forecast (2017-2030)

13.1.5. Government

13.1.5.1. Market Revenue and Forecast (2017-2030)

13.1.6. Automotive

13.1.6.1. Market Revenue and Forecast (2017-2030)

13.1.7. Energy and Utilities

13.1.7.1. Market Revenue and Forecast (2017-2030)

13.1.7. Other End Users

13.1.7.1. Market Revenue and Forecast (2017-2030)

Chapter 14. Global Telecom Cloud Market, Regional Estimates and Trend Forecast

14.1. North America

14.1.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.1.2. Market Revenue and Forecast, by Type (2017-2030)

14.1.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.1.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.1.5. Market Revenue and Forecast, by Application (2017-2030)

14.1.6. Market Revenue and Forecast, by End User (2017-2030)

14.1.7. U.S.

14.1.7.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.1.7.2. Market Revenue and Forecast, by Type (2017-2030)

14.1.7.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.1.7.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.1.8. Market Revenue and Forecast, by Application (2017-2030)

14.1.8.1. Market Revenue and Forecast, by End User (2017-2030) 

14.1.9. Rest of North America

14.1.9.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.1.9.2. Market Revenue and Forecast, by Type (2017-2030)

14.1.9.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.1.9.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.1.10. Market Revenue and Forecast, by Application (2017-2030)

14.1.11. Market Revenue and Forecast, by End User (2017-2030)

14.1.11.1.

14.2. Europe

14.2.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.2.2. Market Revenue and Forecast, by Type (2017-2030)

14.2.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.2.4. Market Revenue and Forecast, by Organization Size (2017-2030) 

14.2.5. Market Revenue and Forecast, by Application (2017-2030)

14.2.6. Market Revenue and Forecast, by End User (2017-2030)

14.2.7.

14.2.8. UK

14.2.8.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.2.8.2. Market Revenue and Forecast, by Type (2017-2030)

14.2.8.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.2.9. Market Revenue and Forecast, by Organization Size (2017-2030) 

14.2.10. Market Revenue and Forecast, by Application (2017-2030)

14.2.10.1. Market Revenue and Forecast, by End User (2017-2030) 

14.2.11. Germany

14.2.11.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.2.11.2. Market Revenue and Forecast, by Type (2017-2030)

14.2.11.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.2.12. Market Revenue and Forecast, by Organization Size (2017-2030)

14.2.13. Market Revenue and Forecast, by Application (2017-2030)

14.2.14. Market Revenue and Forecast, by End User (2017-2030)

14.2.14.1.

14.2.15. France

14.2.15.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.2.15.2. Market Revenue and Forecast, by Type (2017-2030)

14.2.15.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.2.15.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.2.16. Market Revenue and Forecast, by Application (2017-2030)

14.2.16.1. Market Revenue and Forecast, by End User (2017-2030)

14.2.17. Rest of Europe

14.2.17.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.2.17.2. Market Revenue and Forecast, by Type (2017-2030)

14.2.17.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.2.17.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.2.18. Market Revenue and Forecast, by Application (2017-2030)

14.2.18.1. Market Revenue and Forecast, by End User (2017-2030)

14.3. APAC

14.3.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.3.2. Market Revenue and Forecast, by Type (2017-2030)

14.3.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.3.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.3.5. Market Revenue and Forecast, by Application (2017-2030)

14.3.6. Market Revenue and Forecast, by End User (2017-2030)

14.3.7. India

14.3.7.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.3.7.2. Market Revenue and Forecast, by Type (2017-2030)

14.3.7.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.3.7.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.3.8. Market Revenue and Forecast, by Application (2017-2030)

14.3.9. Market Revenue and Forecast, by End User (2017-2030)

14.3.10. China

14.3.10.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.3.10.2. Market Revenue and Forecast, by Type (2017-2030)

14.3.10.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.3.10.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.3.11. Market Revenue and Forecast, by Application (2017-2030)

14.3.11.1. Market Revenue and Forecast, by End User (2017-2030)

14.3.12. Japan

14.3.12.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.3.12.2. Market Revenue and Forecast, by Type (2017-2030)

14.3.12.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.3.12.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.3.12.5. Market Revenue and Forecast, by Application (2017-2030)

14.3.12.6. Market Revenue and Forecast, by End User (2017-2030)

14.3.13. Rest of APAC

14.3.13.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.3.13.2. Market Revenue and Forecast, by Type (2017-2030)

14.3.13.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.3.13.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.3.13.5. Market Revenue and Forecast, by Application (2017-2030)

14.3.13.6. Market Revenue and Forecast, by End User (2017-2030)

14.4. MEA

14.4.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.4.2. Market Revenue and Forecast, by Type (2017-2030)

14.4.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.4.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.4.5. Market Revenue and Forecast, by Application (2017-2030)

14.4.6. Market Revenue and Forecast, by End User (2017-2030)

14.4.7. GCC

14.4.7.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.4.7.2. Market Revenue and Forecast, by Type (2017-2030)

14.4.7.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.4.7.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.4.8. Market Revenue and Forecast, by Application (2017-2030)

14.4.9. Market Revenue and Forecast, by End User (2017-2030)

14.4.10. North Africa

14.4.10.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.4.10.2. Market Revenue and Forecast, by Type (2017-2030)

14.4.10.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.4.10.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.4.11. Market Revenue and Forecast, by Application (2017-2030)

14.4.12. Market Revenue and Forecast, by End User (2017-2030)

14.4.13. South Africa

14.4.13.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.4.13.2. Market Revenue and Forecast, by Type (2017-2030)

14.4.13.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.4.13.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.4.13.5. Market Revenue and Forecast, by Application (2017-2030)

14.4.13.6. Market Revenue and Forecast, by End User (2017-2030)

14.4.14. Rest of MEA

14.4.14.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.4.14.2. Market Revenue and Forecast, by Type (2017-2030)

14.4.14.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.4.14.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.4.14.5. Market Revenue and Forecast, by Application (2017-2030)

14.4.14.6. Market Revenue and Forecast, by End User (2017-2030)

14.5. Latin America

14.5.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.5.2. Market Revenue and Forecast, by Type (2017-2030)

14.5.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.5.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.5.5. Market Revenue and Forecast, by Application (2017-2030)

14.5.6. Market Revenue and Forecast, by End User (2017-2030)

14.5.7. Brazil

14.5.7.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.5.7.2. Market Revenue and Forecast, by Type (2017-2030)

14.5.7.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.5.7.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.5.8. Market Revenue and Forecast, by Application (2017-2030)

14.5.8.1. Market Revenue and Forecast, by End User (2017-2030)

14.5.9. Rest of LATAM

14.5.9.1. Market Revenue and Forecast, by Deployment Mode (2017-2030)

14.5.9.2. Market Revenue and Forecast, by Type (2017-2030)

14.5.9.3. Market Revenue and Forecast, by Computing Service (2017-2030)

14.5.9.4. Market Revenue and Forecast, by Organization Size (2017-2030)

14.5.9.5. Market Revenue and Forecast, by Application (2017-2030)

14.5.9.6. Market Revenue and Forecast, by End User (2017-2030)

Chapter 15. Company Profiles

15.1. AT&T Inc.

15.1.1. Company Overview

15.1.2. Product Offerings

15.1.3. Financial Performance

15.1.4. Recent Initiatives

15.2. Telus Corporation

15.2.1. Company Overview

15.2.2. Product

15.2.3. Financial Performance

15.2.4. Recent Initiatives

15.3. China Telecommunications Corporation

15.3.1. Company Overview

15.3.2. Product Offerings

15.3.3. Financial Performance

15.3.4. Recent Initiatives

15.4. T-Mobile International AG

15.4.1. Company Overview

15.4.2. Product Offerings

15.4.3. Financial Performance

15.4.4. Recent Initiatives

15.5. Fusion Telecommunications International, Inc.

15.5.1. Company Overview

15.5.2. Product Offerings

15.5.3. Financial Performance

15.5.4. Recent Initiatives

15.6. Verizon Communications, Inc.

15.6.1. Company Overview

15.6.2. Product Offerings

15.6.3. Financial Performance

15.6.4. Recent Initiatives

15.7. CenturyLink, Inc.

15.7.1. Company Overview

15.7.2. Product Offerings

15.7.3. Financial Performance

15.7.4. Recent Initiatives

15.8. NTT Communications Corporation

15.8.1. Company Overview

15.8.2. Product Offerings

15.8.3. Financial Performance

15.8.4. Recent Initiatives

15.9. Telstra Corporation Limited

15.9.1. Company Overview

15.9.2. Product Offerings

15.9.3. Financial Performance

15.9.4. Recent Initiatives

15.10. BT Group PLC

15.10.1. Company Overview

15.10.2. Product Offerings

15.10.3. Financial Performance

15.10.4. Recent Initiatives

Chapter 16. Research Methodology

16.1. Primary Research

16.2. Secondary Research

16.3. Assumptions

Chapter 17. Appendix

17.1. About Us

17.2. Glossary of Terms

Contact Us:

Mr. Alex

Sales Manager

Call: +1 9197 992 333

Email: sales@precedenceresearch.com

Web: https://www.precedenceresearch.com

Blog: https://precedenceresearchnews.wordpress.com

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