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Natalya Yezhkova

Research Director, Storage Systems

Natalya Yezhkova is a research director within IDC's Storage Systems program. In this position, Natalya leads the forecast for the worldwide enterprise storage systems market and storage solutions, and provides custom research and consulting services to IDC clients. Natalya contributes to the cloud IT infrastructure research and the IDC’s ODM Global Overview program. She is also a lead analyst on Storage User Demand Study (SUDS), a bi-annual multi-client study focused on analyzing trends in storage system deployments for variety of data use cases.

Prior to joining IDC in 2003, Ms. Yezhkova was a business consultant and a project manager in the offshore software engineering industry.  Natalya earned her MBA degree from F.W. Olin Graduate School of Business at Babson College and a Master of Science in Mathematics from the Moscow State University (Russia).


 

At Enterprise IoT World Conference & Expo attended by end users and dozens of vendors developing IoT products and platforms touched on a number of important topics emerging as the industry expands into a broader ecosystem. Among these t...
IoT World: It's More About Business than Technology

May 2017 - IDC Link - Doc # lcUS42584617

by: Natalya Yezhkova

Attended by more than 11,000 people from more than 4,500 companies, IoT World Conference & Expo showcased a variety of solutions for implementation of Internet of Things (IoT) projects. Conference keynotes and sessions covered a broad r...
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This IDC study provides historical data (2013–2017) and a forecast data (2018–2022) for the worldwide and U.S. enterprise storage systems markets. The forecast and historical data focuses on end-user consumption of three categories of enter...
AI/Machine Learning at the Edge — Developing Area for IoT

Apr 2018 - IDC Survey Spotlight - Doc # US43727218

by: Natalya Yezhkova

This IDC Survey Spotlight provides insights on current rate of utilization of edge resources for AI/machine learning algorithms for variety of use cases including predictive analytics, supply and logistics, and work automation, which are al...
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