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Public Cloud Provider: Telco Workload Tracker Report – 2025
Report / 21 Aug 2025 / Inderpreet Kaur
This report draws on Omdia’s Public Cloud Hosting of Telco Workloads Tracker database, which captures publicly announced deals between PCPs and telcos regarding the use of public cloud to host their IT and network workloads.
Telco Cloud Adoption and Vendor Perception Survey – 2025
Report / 03 May 2025 / Inderpreet Kaur
This year survey shows CSPs have continued their optimism about using cloud technologies for network core and edge infrastructure. However, the survey results did not indicate a significant improvement in the outlook.
Telco Network Cloud Market Tracker – 2025 Annual Forecast Report
Report / 01 Jul 2025 / Inderpreet Kaur
Omdia estimates the telco network cloud market to grow roughly 12% in 2025 (up from 6% in 2024), with high single-digit growth continuing thereafter. Increasing maturity of the automation frameworks and cloud-native tooling is enabling CSPs to migrate quickly to and scale in cloud environments. The adoption of AI is also stimulating operators to boost investment in telco cloud infrastructure.
Telco Network and Service Automation Market Tracker Report – 2025
Report / 07 May 2025 / Christoforos Sarantopoulos
Annual report examining the telco network and service automation market, its status, trends, and prospects. Omdia has added the category of service management and orchestration (SMO), the foundation block of future RAN automation.
Telco Network Automation Survey Report – 2024
Survey / 08 Oct 2024 / Christoforos Sarantopoulos
Omdia conducted a survey of 61 senior network engineering, R&D, and operations decision-makers within telecom operators in August–September 2024 to learn how communications service providers (CSPs) are approaching network automation, how far they are on their journey towards autonomous networks, and how they evaluate their efforts and the level of automation.
The Analyst Team
Inderpreet Kaur
Follow AnalystSenior Analyst
Inderpreet is Omdia’s Senior Analyst for telco cloud. Her research focuses on communications service providers’ (CSP) adoption of cloud computing and relevant technologies across fixed and mobile network infrastructure. She tracks and monitors key providers across the network domain, including public cloud providers, which are enabling telco infrastructure migrations to cloud-native and virtualized platforms. While doing so, her research also helps CSPs to uncover opportunities and expanding capabilities in the edge cloud value chain.
Inderpreet joined Omdia in July 2022. She has over 12 years of experience as an industry analyst and consultant delivering strategic advisory to communications service providers, system integrators, and vendors. She has strong experience in tracking key industry trends and implications across the TMT value chain. Inderpreet holds a Bachelor of Engineering in computer engineering and an MBA in marketing from the University of Pune, India.
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James Crawshaw
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James leads Omdia’s service provider transformation team, which covers telco IT (operations support systems, business support systems, and analytics) and telco cloud & automation (software-defined networking, network function virtualization, etc.). James’ own research focuses on operations support systems, including service assurance, orchestration, order management, inventory management, network security, self-organizing networks, and radio access network intelligent control.
Before joining Omdia, James led Heavy Reading’s communications service provider IT & automation research service. James holds a Bachelor of Science and Master of Engineering in electrical and mechanical engineering from the University of Manchester, England. Earlier in his career, while working as a financial analyst, James passed the three exams required to obtain the Chartered Financial Analyst qualification. In addition, James has a Master of Science in electronic engineering from the University of Surrey, England.
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These are Omdia driven recommendations based on content that is both similar, and has been frequently visited by other users in combination with the content you are currently viewing.
Omdia Recommends
These are Omdia driven recommendations based on content that is both similar, and has been frequently visited by other users in combination with the content you are currently viewing.
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