Provides market forecasts to 2027 for cloud native (CN) technologies: serverless, CN databases, CN storage, CN observability & analytics, container orchestration, provisioning security & compliance, and DevOps release management & automation.
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The Analyst Team

Michael Azoff
Follow AnalystChief Analyst, Cloud Native Computing
Michael is a chief analyst on Omdia’s cloud and data center team, where he covers a range of topics related to the cloud, data center, AI, software development, Agile, and DevOps. He also provides consulting to clients and support for Informa Tech events, with a focus on cloud native computing.
Michael was previously a consulting analyst at GigaOm, covering AI and software development. Prior to this, he was chief analyst at Kisaco Research, where he introduced an analyst chart on AI chips. Michael was also a distinguished analyst at Informa companies, including Ovum, for 17 years. After completing his PhD in solid-state electronics at the University of Sheffield (England), Michael worked at Rutherford Appleton Laboratory and published academic papers. He went into R&D, built neural networks, launched a startup for his Prognostica Microsoft Excel add-in for time series forecasting, and published a book, Neural Network Time Series: Forecasting of Financial Markets.
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Vladimir Galabov
Follow AnalystSenior Research Director, Enterprise Infrastructure
Vlad is responsible for the enterprise infrastructure teams at Omdia, including the cloud and data center research practice and the cybersecurity research practice. He guides the teams’ research strategy and produces research with a focus on disruptive trends, such as infrastructure upgrades necessary to enable broad adoption of AI, as well as the impact of AI on the enterprise infrastructure stack.
Vlad joined Omdia, formerly IHS Markit Technology, in 2016. He assumed the responsibility for the cloud and data center research practice in 2021, developing many of its unique, industry-leading technical analyses, including its flagship “single source of truth” data center capex and capacity model. He held senior positions at Intel and Ciena, where his data-led insights served as a central input into the companies’ strategies. Key market models he developed include an in-depth analysis of telecommunications network operations costs, a PC inventory tracker, and an actionable IoT market forecast. Vlad’s work has even facilitated decision-making in the British Parliament. He holds a Bachelor of Science degree in economics and management from Aston University, the UK.
More Content By Vladimir GalabovAaron Lewis
Follow AnalystAnalyst, Cloud and Data Centre
Aaron works with cloud and data center computing trends, specializing in server connectivity. He has experience in financial forecasting, journalism, management consultancy, and research.
He has prior experience working on the research of digital infrastructure, including cloud and data center and blockchain technology. He also has experience as a financial analyst and focused intensely on understanding the technology to write white papers. He holds a Bachelor of Science (Hons) in chemistry from University College London.
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