The Analyst Team

Carol Yang
Senior Analyst
Carol Yang is responsible for the CMOS image sensor market in various applications. She has years of working experience in the semiconductor industry. Her background includes market research and competitive intelligence analysis with SMIC and Broadcom.
Carol began her career as an analyst with Omdia in 2021. Before joining Omdia, Carol worked as a strategic marketing planning manager at SMIC, one of the largest foundries in China. She holds an MBA from Tongji University in Shanghai, China, and a master’s degree in finance from Case Western Reserve University in Cleveland, Ohio. As part of the China semiconductor research team at Omdia, Carol’s research provides detailed analyses of CMOS image sensor demand and supply as well as overviews of technology trends and the competitive landscape.
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Automotive Image Sensor and Camera Module Report – 2022 Analysis
This report provides comprehensive market analysis and a database capturing historical and forecasts for shipments and revenue of automotive image sensors in the global market. The coverage also includes camera module supply chain information to provide a broader view of the industry landscape.
Annual Report / 15 Feb 2023 / Carol Yang
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Automotive Image Sensor and Camera Module Report – 2022 Database
This report provides comprehensive market analysis and a database capturing historical and forecasts for shipments and revenue of automotive image sensors in the global market. The coverage also includes camera module supply chain information to provide a broader view of the industry landscape.
Data / 15 Feb 2023 / Carol Yang
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Image Sensor & Camera Module Market Tracker – 1H22 Database
This is a detailed global image sensor market forecast, including revenue and shipment outlooks on different applications from 2017 to 2026. Also includes key supplier market share, production capacity, and wafer prices.
Data / 11 Oct 2022 / Carol Yang
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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.
Omdia Recommends
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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