This forecast report is based on Omdia's Total Addressable Markets for SMEs – 2022–27. It identifies and quantifies global SMEs' spending on cloud services and assesses the cloud market changes through 2027.
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Total Addressable Markets for SMEs – 2022–27
Data / 01 Dec 2022 / Hwee-Xian Tan
This database provides a five-year forecast of 20 countries across cloud, infrastructure, network, BPO, apps, security, and workplace services. It can be segmented into three size tiers and 62 services, plus 12 verticals at a global level.
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SME Spending on Cloud Services: Worldwide Forecast – 2020–2025
Report / 07 Jun 2021 / Hwee-Xian Tan
This forecast report is based on the Omdia Small and Medium Enterprises Forecast: 2018–25. It identifies and quantifies global SMEs' spending on cloud services and assesses the cloud market changes through 2025.
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The Year Ahead: SME ICT growth is on the precipice of a shift
Analyst Opinion / 23 Feb 2022 / Hwee-Xian Tan
SMEs race to adapt and pivot their operations, fostering strong ICT growth in 2022. Service providers must be ready for a pandemic rebound.
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The Analyst Team
Hwee-Xian Tan
Follow AnalystSenior Analyst
Hwee-Xian is a senior analyst with Omdia’s service provider enterprise and wholesale service team. He focuses on the SoHo and SME intelligence services, providing analysis and data to help service providers benefit from market opportunities, and general trend analysis in the Asian ICT services market.
Before joining Omdia (formerly Ovum), Hwee-Xian was a senior analyst for IDC’s Asia/Pacific telecoms group, where he led telecoms services, managed services, unified communications, and collaboration trackers for a broad portfolio of customers across the region. His responsibilities included delivering innovative customized research, project management, and presales product marketing on telecoms operators and infrastructure vendors. Hwee-Xian holds a bachelor’s degree in human ecology and a master’s degree in business administration. He is based in Kuala Lumpur, Malaysia.
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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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