Telecom Cloud market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032

Telecom Cloud market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032



Growth Factors of Telecom Clouds Market

The Telecom clouds market size was valued at USD 18.81 billion in 2023, and the market is now projected to grow from USD 23.46 billion in 2024 to USD 139.31 billion by 2032, exhibiting a CAGR of 24.9% during the forecast period of 2023-2030.

The COVID-19 outbreak has formed a negative impact on telecom clouds market in terms of supply chain disruptions and infrastructure delay with the lockdown and restricted deployments. Many telecom companies found themselves facing a drop in capital expenditure, hence they could not inject in the cloud computing technology. Weakened consumer demand and reduced business investments as a result of economic decline were also an obstacle to telecom cloud services adoption. In addition, the shift to short term projects demanding an immediate solution instead of long-term plans was another factor that contributed to the delay in doing business.

The telecoms cloud market has witnessed strong growth as telecommunication providers develop telecommunications solutions that are capable of scaling, cost-effective and flexible. Cloud-based telecommunications services become a must for service providers as they help to effectively handle the growing data traffic, implement 5G networks and improve service delivery. The significant elements include the developments in virtualization, the need of competence network management and increased number of IoT devices. The Telecom clouds market growth is also facilitated by the integration of AI and edge computing.

The telecom clouds market is now thriving, and it is driven by the great demand for 5G technology and networks that are fast and reliable. One of the main advancements regarding the networking is the growth of the edge computing approach that processes data close to the communication nodes with the aim to decrease the delay. Also, the integration of AI and machine learning to the network is used to improve network management and automation. Cyber security is playing a greater role in defending the data as telecom networks tend to be more and more intricate and cloud-oriented. Furthermore, telecom operators partner with cloud service providers to form a platform for developing elastic and scalable solutions for diverse industries.

Comprehensive Analysis of Telecom Clouds Market

The Telecom clouds industry is rising at an exponential rate due to its market segmentation. These segmentations are methodically segregated by deployment model, by enterprise type, function type and by service type. Based on deployment model, market is divided into private, hybrid, and public. Based on enterprise type, market is divided into large enterprises and small & medium enterprises. Based on function type, market is divided into virtual network function and cloud-native network function. Based on service type, market is divided into SaaS, IaaS, and PaaS.

The North America holds leading position in telecom clouds market share by benefitting a market size of USD 7.08 billion in 2023. The leading cloud service providers, highly developed technological infrastructure, and massive investments in 5G networks are the main factors behind the domination. The area's highlight on digital transformation in various industries and the wide preference for cloud-based solutions in the area also contribute to its position as a leader.

The top players in the market play a crucial role in the industry assuring industrial prospectus growth and setting market standards. These players include, VMware, Inc. (U.S.), IBM Corporation (U.S.), Telefonaktiebolaget LM Ericsson (Sweden), Cisco Systems, Inc. (U.S.), Google LLC (Alphabet LLC) (U.S.), Huawei Technologies Co., Ltd. (China), Amazon Web Services, Inc. (Norway), Microsoft Corporation (U.S.), Oracle Corporation (Munich), Deutsche Telekom (Japan).

February 2023: Snowflake Inc. has introduced the Telecom Data Cloud that tailors data insight offering for use in specific industries, empowering clients by adding to their data decision-making capabilities.

Segmentation Table

Global Telecom Clouds Market Scope

Study Period 2019-2032

Base Year 2023

Estimated Year 2024

Forecast Period 2024-2032

Historical Period 2019-2022

Growth Rate CAGR of 23.1% from 2024 to 2032

Unit Value (USD Billion)

Segmentation By Deployment

Cloud

On-premise

By Enterprise Type

Large Enterprises

Small and Medium Enterprises (SMEs)

By Application

Demand Forecasting

Financial Risk Forecasting

Pricing Personalization

Predictive Maintenance

Others (Churn Prevention)

By End-user

BFSI

Automotive

Telecom/Media

Healthcare

Life Sciences

Retail

Energy & Utility

Government

Others (Manufacturing, Education)

By Region

North America (By Deployment, By Enterprise Type, By Application, By End-user, and By Country)

- U.S. (By End-user)

- Canada (By End-user)

- Mexico (By End-user)

South America (By Deployment, By Enterprise Type, By Application, By End-user, and By Country)

- Brazil (By End-user)

- Argentina (By End-user)

- Rest of South America

Europe (By Deployment, By Enterprise Type, By Application, By End-user, and By Country)

- U.K. (By End-user)

- Germany (By End-user)

- France (By End-user)

- Italy (By End-user)

- Spain (By End-user)

- Russia (By End-user)

- Benelux (By End-user)

- Nordics (By End-user)

- Rest of Europe

Middle East & Africa (By Deployment, By Enterprise Type, By Application, By End-user, and By Country)Turkey (By End-user)

- Israel (By End-user)

- GCC (By End-user)

- North Africa (By End-user)

- South Africa (By End-user)

- Rest of the Middle East & Africa

Asia Pacific (By Deployment, By Enterprise Type, By Application, By End-user, and By Country)

- China (By End-user)

- Japan (By End-user)

- India (By End-user)

- South Korea (By End-user)

- ASEAN (By End-user)

- Oceania (By End-user)

- Rest of Asia Pacific


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1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global Telecom Cloud Key Players Market Share Insights and Analysis, 2023
5. Global Telecom Cloud Market Size Estimates and Forecasts, By Segments, 2019-2032
5.1. Key Findings
5.2. By Deployment Model (USD)
5.2.1. Private
5.2.2. Hybrid
5.2.3. Public
5.3. By Enterprise Type (USD)
5.3.1. Large Enterprises
5.3.2. SMEs
5.4. By Function Type (USD)
5.4.1. VNF (Virtual Network Function)
5.4.2. CNFs (cloud-native network functions)
5.5. By Service Type (USD)
5.5.1. SaaS (Software-as-a-Service)
5.5.2. IaaS (Infrastructure-as-a-Service)
5.5.3. PaaS (Platform-as-a-Service)
5.6. By Region (USD)
5.6.1. North America
5.6.2. South America
5.6.3. Europe
5.6.4. Middle East & Africa
5.6.5. Asia Pacific
6. North America Telecom Cloud Market Size Estimates and Forecasts, By Segments, 2019-2032
6.1. Key Findings
6.2. By Deployment Model (USD)
6.2.1. Private
6.2.2. Hybrid
6.2.3. Public
6.3. By Enterprise Type (USD)
6.3.1. Large Enterprises
6.3.2. SMEs
6.4. By Function Type (USD)
6.4.1. VNF (Virtual Network Function)
6.4.2. CNFs (cloud-native network functions)
6.5. By Service Type (USD)
6.5.1. SaaS (Software-as-a-Service)
6.5.2. IaaS (Infrastructure-as-a-Service)
6.5.3. PaaS (Platform-as-a-Service)
6.6. By Country (USD)
6.6.1. United States
6.6.2. Canada
6.6.3. Mexico
7. South America Telecom Cloud Market Size Estimates and Forecasts, By Segments, 2019-2032
7.1. Key Findings
7.2. By Deployment Model (USD)
7.2.1. Private
7.2.2. Hybrid
7.2.3. Public
7.3. By Enterprise Type (USD)
7.3.1. Large Enterprises
7.3.2. SMEs
7.4. By Function Type (USD)
7.4.1. VNF (Virtual Network Function)
7.4.2. CNFs (cloud-native network functions)
7.5. By Service Type (USD)
7.5.1. SaaS (Software-as-a-Service)
7.5.2. IaaS (Infrastructure-as-a-Service)
7.5.3. PaaS (Platform-as-a-Service)
7.6. By Country (USD)
7.6.1. Brazil
7.6.2. Argentina
7.6.3. Rest of South America
8. Europe Telecom Cloud Market Size Estimates and Forecasts, By Segments, 2019-2032
8.1. Key Findings
8.2. By Deployment Model (USD)
8.2.1. Private
8.2.2. Hybrid
8.2.3. Public
8.3. By Enterprise Type (USD)
8.3.1. Large Enterprises
8.3.2. SMEs
8.4. By Function Type (USD)
8.4.1. VNF (Virtual Network Function)
8.4.2. CNFs (cloud-native network functions)
8.5. By Service Type (USD)
8.5.1. SaaS (Software-as-a-Service)
8.5.2. IaaS (Infrastructure-as-a-Service)
8.5.3. PaaS (Platform-as-a-Service)
8.6. By Country (USD)
8.6.1. United Kingdom
8.6.2. Germany
8.6.3. France
8.6.4. Italy
8.6.5. Spain
8.6.6. Russia
8.6.7. Benelux
8.6.8. Nordics
8.6.9. Rest of Europe
9. Middle East & Africa Telecom Cloud Market Size Estimates and Forecasts, By Segments, 2019-2032
9.1. Key Findings
9.2. By Deployment Model (USD)
9.2.1. Private
9.2.2. Hybrid
9.2.3. Public
9.3. By Enterprise Type (USD)
9.3.1. Large Enterprises
9.3.2. SMEs
9.4. By Function Type (USD)
9.4.1. VNF (Virtual Network Function)
9.4.2. CNFs (cloud-native network functions)
9.5. By Service Type (USD)
9.5.1. SaaS (Software-as-a-Service)
9.5.2. IaaS (Infrastructure-as-a-Service)
9.5.3. PaaS (Platform-as-a-Service)
9.6. By Country (USD)
9.6.1. Turkey
9.6.2. Israel
9.6.3. GCC
9.6.4. North Africa
9.6.5. South Africa
9.6.6. Rest of MEA
10. Asia Pacific Telecom Cloud Market Size Estimates and Forecasts, By Segments, 2019-2032
10.1. Key Findings
10.2. By Deployment Model (USD)
10.2.1. Private
10.2.2. Hybrid
10.2.3. Public
10.3. By Enterprise Type (USD)
10.3.1. Large Enterprises
10.3.2. SMEs
10.4. By Function Type (USD)
10.4.1. VNF (Virtual Network Function)
10.4.2. CNFs (cloud-native network functions)
10.5. By Service Type (USD)
10.5.1. SaaS (Software-as-a-Service)
10.5.2. IaaS (Infrastructure-as-a-Service)
10.5.3. PaaS (Platform-as-a-Service)
10.6. By Country (USD)
10.6.1. China
10.6.2. Japan
10.6.3. India
10.6.4. South Korea
10.6.5. ASEAN
10.6.6. Oceania
10.6.7. Rest of Asia Pacific
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. VMware, Inc.
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. IBM Corporation
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. Telefonaktiebolaget LM Ericsson
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. Cisco Systems, Inc.
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. Google LLC (Alphabet LLC)
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. Huawei Technologies Co., Ltd.
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. Amazon Web Services, Inc.
11.7.1.
11.7.1.1. Overview
11.7.1.2. Key Management
11.7.1.3. Headquarters
11.7.1.4. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. Microsoft Corporation
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. Oracle Corporation
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. Deutsche Telekom
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments
12. Key Takeaway

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