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Private LTE and 5G Networks Market Forecast: 2022–27
Data / 22 Dec 2022 / Pablo Tomasi
It provides guidance on the private networks (LTE and 5G) opportunity for 2022–27. Models the revenue opportunity for RAN, core, and professional and managed services. Includes global and regional data and segment splits by industry and for key countries.
Omdia Market Radar: Private LTE and 5G Networks for European CSPs, 2022
Vendor Assessment / 29 Nov 2022 / Pablo Tomasi
Analyzes leading European CSP activities and strategies in the private LTE and 5G networks market. This competitor assessment evaluates strengths and best practices for CSPs and partners targeting this emerging opportunity.
Private LTE and 5G Network Enterprise Survey Insight 2022 – Providers, Solutions, and Business Models
Survey / 26 Oct 2022 / Pablo Tomasi
Provides survey-based insights on providers, solutions, and business models from enterprises using, trialing, or planning to deploy private LTE and 5G networks. A total of 450 respondents from seven countries participated in the survey.
The Analyst Team

Pablo Tomasi
Follow AnalystPrincipal Analyst, Private Networks
Pablo Tomasi is a Principal Analyst in the Service Providers Enterprise And Wholesale practice, where he leads the company’s research on private 5G networks, 5G monetization, and innovative enterprise technologies and solutions. He helps clients with their strategic decisions by providing in-depth analysis of innovative technologies, strategies, regulations, and emerging ecosystems in the enterprise market.
Before his current role, he worked as a senior analyst in the IoT team, covering Industrial IoT (IIoT) and service provider strategies. Prior to joining Omdia, formerly Ovum, in 2019, Pablo was a senior analyst at ABI Research and IHS Markit, where he reported on service providers’ vertical market opportunities, IoT, and smart cities. Pablo has spoken at numerous events, including MWC, Total Telecom Congress, Private Networks in a 5G World, Network X, and Smart Cities Week.
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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.
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