This Report Provides In-Depth Analysis of the Telecom Cloud Market Report Prepared by P&S Intelligence, Segmented by Managed (Platform, Solutions, Services), Deployment Model (Public, Private, Hybrid), Service Model (Software as a Service, Platform as a Service, Infrastructure as a Service), Organization Size (SMEs, Large Enterprises), NFV Software (VNFs/CNFs, NFVI), Application (Network, Data Storage, and Computing, Traffic Management, Cloud Migration), and Geographical Outlook for the Period of 2019 to 2032
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Telecom Cloud Market Analysis
The telecom cloud market size was USD 22.1 billion in 2024, and the market size is predicted to reach USD 149.1 billion by 2032, advancing at a CAGR of 27.1% during 2025–2032.
The market is driven by the increase in the requirement for strong network connectivity, rise of 5G standards and in IoT usage, and usage growth of cloud-native environments. As the excessive usage of streaming technologies is leading to crowding in the digital space, telecom operators are continuously battling declining revenues and industry disturbances. As most corporations are infested with subpar connectivity solutions, there is a need for telecom corporations to evolve beyond network connectivity services and provide distinguished, sustainable solutions.
Moreover, cloud computing has had an immediate and influential impact on the telecom sector. Telcos have begun to store and compute data of customers, generate cloud data warehouses, migrate cloud data, manage other telecom cloud services, autonomously access tele services, and leverage other advantages as well with the adoption of cloud.
Additionally, one of the key trends in the market is the hastening of digital transformation in enterprises. Due to digitization, the evolution of the way customers and organizations interact has changed their internal processes.
Further, in today’s world, the cloud makes IT infrastructure management simplified for companies, thus resulting in business success and competitive advantages. Each industry, such as BFSI, healthcare, and retail & e-commerce, offers online portals, data sharing, digital payments, and social media interaction, which results in the rising demand for advanced network setups.
Telecom Cloud Market Trends & Drivers
Adoption of Artificial Intelligence and Machine Learning Is Key Trend
AI and ML optimize network performance in real-time, predicting congestion and adjusting for better service and user experience.
AI models predict hardware or network issues early, allowing telcos to fix problems in advance, reducing downtime and maintenance costs.
AI-driven automation helps manage telecom networks without human help, using machine learning to control traffic, balance loads, and adjust resources in real time for better performance.
In February 2024, Microsoft Corporation launched Copilot in Azure Operator Insights to help telecom operators manage networks better.
It uses AI to let engineers quickly detect and fix issues using natural language.
AI and ML detect suspicious activity in real time by spotting unusual patterns, helping reduce losses and boost security.
These technologies study customer data and usage patterns to suggest personalized telecom plans, improving satisfaction and keeping customers loyal.
Microsoft Corporation plans to invest USD 3 billion over two years to expand its cloud and AI infrastructure in India.
The investment includes new Azure data centers and aims to train 10 million people in AI skills by 2030.
Rising Adoption of Multi-Cloud and Hybrid Cloud Strategies Is Biggest Growth Driver
Using more than one cloud provider helps telecom companies avoid relying on just one, giving them more choices and better control over services and costs.
Companies can choose the cloud service that costs less for each task, helping them work more efficiently and save money.
If one cloud provider has problems, services can be moved to another, keeping the network running smoothly without interruptions.
In September 2024, AWS announced a GBP 8-billion investment to build data centers in London and western England.
This move is expected to create 14,000 jobs and add GBP 14 billion to the U.K.'s GDP by 2028.
Sensitive data can be stored in private clouds, while less important data is kept in public clouds, ensuring compliance with data protection rules.
Hybrid and multi-cloud models allow for the quick scaling of services during high demand without the need to build new infrastructure.
In May 2024, Google LLC announced a USD 2-billion investment to build its first data center and cloud hub in Malaysia.
This will support services such as Search, Maps, and Cloud, and meet the growing need for AI computing.
Telecom Cloud Market Segmentation Analysis
Component Analysis
The solutions category held the largest market share, of 55%, in 2024. This is because unified communications as a service (UCaaS) and content delivery networks are essential for supporting mobile, video, and enterprise services. These tools are already deeply integrated into telecom operations and have been widely adopted for years, generating significant recurring revenue for providers.
The components analyzed here are:
Platforms
Solutions (Largest Category)
Services (Fastest-Growing Category)
Professional
Managed
Deployment Model Analysis
The hybrid category will grow at the highest CAGR, of 27.3%, during the forecast period, owing to the need for both public and private clouds to support the IT environment. The hybrid model permits organizations to rapidly create their work environments on either the public or private cloud at no additional cost for the infrastructure. This model taps limitless cloud resources, which can be scaled up or down as there is a change in the workflow, assures enterprises of speed and innovation, safeguards business continuity, and enhances security.
The deployment models analyzed here are:
Public
Private (Largest Category)
Hybrid (Fastest-Growing Category)
Service Model Analysis
The software as a service category held the largest market share, of 60%, in 2024. This is because SaaS offers telecom operators fully developed, internet-based applications, such as billing systems, CRM platforms, and unified communication tools, ready to use, without the need for in-house infrastructure. Since the service provider manages all updates and server maintenance, telecom companies can focus on their core operations. Its pay-as-you-go pricing model makes SaaS cost-effective and easy to scale according to demand. Additionally, because many SaaS solutions have been widely adopted in the telecom industry for years, they continue to deliver consistent, recurring revenue.
The infrastructure as a service category will grow at the highest CAGR, of 27.5%, during the forecast period, this is because infrastructure as a service (IaaS) is used in a lot of businesses as it offers a platform for testing and developing applications. And, as per the need, the services can be upscaled or downscaled. This also delivers a rapid and hassle-free solution, with enterprises not needing to worry about compliance or management. Additionally, with IaaS, the convenience to host web applications increases, since it provides all the necessary resources, such as storage and servers, which can also be scaled up or down as per requirement.
The service models analyzed here are:
Software as a Service (SaaS) (Largest Category)
Platform as a Service (PaaS)
Infrastructure as a Service (IaaS) (Fastest-Growing Category)
Organization Size Analysis
The large enterprises category held the larger market share, of 50%, in 2024. This is because large enterprises possess the financial strength to make significant investments in advanced private, hybrid, and multi-cloud environments. Their geographically dispersed operations and multiple business units demand scalable and secure cloud solutions to efficiently handle telecom services, data traffic, and analytics. Cloud-based telecom technologies, such as network function virtualization (NFV) and software-defined networking (SDN), offer highly effective systems at scale. Additionally, telecom cloud providers often develop tailored, compliant solutions for large enterprises.
The SMEs category will grow at the higher CAGR, of 27.8%, during the forecast period. This is because cloud technology is now more affordable and easier to access, making it possible for SMEs to use telecom cloud services without spending a lot of money upfront. Since the pandemic, many SMEs have sped up their digital transformation to stay competitive, relying more on cloud tools for communication, teamwork, and connecting with customers.
They prefer cloud solutions because they lower the need for physical infrastructure and help businesses grow quickly in fast-changing markets. SaaS models let them avoid the cost and complexity of having their own IT teams or systems.
The organization sizes analyzed here are:
SMEs (Faster-Growing Category)
Large Enterprises (Larger Category)
NFV Software Analysis
The VNFs/CNFs category held the largest market share, of 65%, in 2024, and it will grow at the highest CAGR, of 28%, during the forecast period. This is because telecom operators can adjust their services at speed by utilizing VNFs and CNFs, to meet evolving demand patterns throughout data-intensive 5G networks. The method of microservices and containerization that CNFs use provides operators with precise control of their network resources. The setup needs of 5G networks can be supported through distributed implementation by VNFs and CNFs. Cloud-native systems are gaining prominence in the telecom industry as CNFs enhance connectivity to public and hybrid cloud platforms and modern IT strategies at telecom operations. Through edge computing, CNFs enable efficient delays reduction for advanced services, such as IoT, AR/VR applications, and autonomous vehicles.
The NFV software analyzed here are:
VNFs/CNFs (Larger and Faster-Growing Category)
NFVI
Application Analysis
The cloud migration category will grow at the highest CAGR, of 27.4%, during the forecast period. This is because telecom operators require better performance with flexible solutions that deliver cost-efficiency. The growing need for over-the-top cloud services is also driving this category. Telecom operators are now moving away from conventional infrastructure to establish flexible cloud solutions.
The applications analyzed here are:
Network, Data Storage, and Computing (Largest Category)
Traffic Management
Cloud Migration (Fastest-Growing Category)
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Telecom Cloud Market Geographical Analysis
The North America held the largest market share, of 40%, in 2024, because the U.S. leads the way in using telecom cloud technologies, such as NFV, SDN, and 5G. The region hosts several top tech giants, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud and key telecom operators, such as AT\&T, Verizon, and T-Mobile. The major telecommunication enterprises in North America invest significantly in cloud infrastructure maintenance, 5G network development, and AI-based automated systems. Cloud adoption receives further endorsement from the U.S. and Canadian regulatory frameworks related to data protection and modern network system development.
The APAC region will grow at the highest CAGR, of 28.5% during the forecast period. This is because in 2023, China's cloud infrastructure services market experienced significant growth, with spending reaching USD 9.2 billion in Q3, marking an 18% year-on-year increase and accounting for 12% of global cloud expenditure. Tencent, Alibaba, Baidu AI, and Huawei Cloud are the top four companies in the country’s cloud market. The overall Chinese cloud market is entering a new era with important changes in the customer structure and competitive landscape. China Telecom is investing and gaining in the cloud services market by taking advantage of its wide coverage and favorable infrastructure prices.
Similarly, in India, the market is prospering owing to the government initiative for the enhancement of the telecom infrastructure and the unprecedented surge in data consumption. To speed up advanced communication infrastructure deployment, governments of various states have launched their own policies and schemes. For instance, in March 2024, the Department of Telecom of the Government of Gujarat inaugurated the Telecom Facilitation Centre in Ahmedabad to assist stakeholders with regulatory and licensing support. It also offers guidance on 5G, M2M/IoT, and other telecom innovations.
The regions and countries analyzed in this report are:
North America (Largest Region)
U.S. (Largest Region)
Canada (Fastest-Growing Region)
Europe
Germany (Largest Region)
U.K.
France
Italy
Russia (Fastest-Growing Region)
Rest of Europe
Asia-Pacific (Fastest-Growing Region)
China (Largest Region)
India (Fastest-Growing Region)
Japan
South Korea
Australia
Rest of APAC
Latin America
Brazil (Largest Region)
Mexico (Fastest-Growing Region)
Rest of LATAM
Middle East and Africa
Saudi Arabia (Largest Region)
South Africa
U.A.E. (Fastest-Growing Region)
Rest of MEA
Telecom Cloud Market Share Analysis
The telecom cloud market is consolidated because a few players dominate it and control the pricing, services, and technology. These companies can offer lower prices, stronger infrastructure, and more-complete cloud solutions because they operate on a larger scale. Additionally, it is hard for new companies to enter the market because it requires a lot of money, compliance with complicated rules, and advanced technical skills.
Telecom Cloud Service Providers:
Amazon Web Services Inc.
Microsoft Corporation
International Business Machines Corporation
Oracle Corporation
Alphabet Inc.
VMware Inc.
Intellias Ltd.
Huawei Technologies Co. Ltd.
Telefonaktiebolaget LM Ericsson
ZTE Corporation
Tencent Cloud
Juniper Networks Inc.
Telecom Cloud Market News
In November 2024, Amazon Werb Services Inc. and Telefonica Germany initiated a pilot project to test quantum technologies in Telefonica's mobile network. The project aims to optimize mobile tower placements, enhance network security with quantum encryption, and lay the groundwork for future 6G networks.
In May 2024, Bharti Airtel Limited and Google Cloud formed a long-term partnership to speed up cloud adoption and implement generative AI solutions. The collaboration aims to boost Airtel's digital capabilities and offer innovative services to customers.
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