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Tara Patel
Research Analyst, Media Delivery
Tara joined Omdia in May 2021 as part of the Media and Entertainment team, particularly looking at TV technology and home networks. She previously worked at a technology consulting company focusing on video entertainment landscapes across countries and tracking top-performing movies. Tara has a degree in international development with economics and overseas experience from the University of East Anglia. She has also worked abroad in Cambodia and India.

Daniel Simmons
Research Director, Media Delivery
Dan heads global research on service provider set-top boxes, consumer premises equipment (CPE), content security, and user interfaces. He has extensive experience in producing custom research for all aspects of television technology, influencing the strategies of many of the sector’s largest companies.
His expertise includes a nuanced understanding of how service providers distribute content around the home, and how consumers interact with content. Dan worked previously at Mitsubishi Electric, where he designed image-processing algorithms. He is a graduate of the University of Surrey in Guildford, England, and has a Bachelor of Science in physics.
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Repositioning the Set Top Box for a new generation of video services
Report / 10 Feb 2022 / Tara Patel
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Pay TV STB Tracker – 1Q22 Analysis
Provides quarterly and annual shipment and revenue forecast and share data for the set-top box market. Covers pay-TV and free-TV STBs and streaming media devices, segmented by geography and a range of technologies.
Report / 01 Aug 2022 / Daniel Simmons
Subscription Required
Pay TV STB Tracker – 1Q22 Database
Provides quarterly and annual shipment and revenue forecast and share data for the set-top box market. Covers pay-TV and free TV STBs and streaming media devices, segmented by geography and a range of technologies.
Data / 28 Jul 2022 / Tara Patel
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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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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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