Oyster Bay, New York - 20 Jul 2017
ABI Research forecasts the market for analytics within Pay TV services will grow by 105% in the next five years, from US$1.8 billion this year to US$3.7 billion in 2022. Comcast, Netflix, Sky, Telstra, and other successful video companies differentiate themselves from their peers by their strong use of analytics to optimize and improve operational metrics. Pay TV companies are starting to transform products to support an analytical focus, moving in the direction of artificial intelligence and machine learning to enable self-optimization.
Video companies sell today’s products in a host of point-solutions, including Content and Metadata Engagement, Customer Management, Network Optimization, and Consumption Measurement. Larger network-oriented Business Support Systems and Business Intelligence Vendors also play a significant role within these markets.
“Today’s siloed solutions mean that each business unit may rely on separate sources of data in solutions coming from different vendors, especially as small and mid-size video services,” says Sam Rosen, Managing Director and Vice President at ABI Research. “Best-in-class OTT companies and Tier One operators with multiple services in diverse geographies started to build unified data platforms that centralize data and then provide access to every group based on their functional requirements.”
Investors are already latching onto the analytics opportunity in Pay TV services. Conviva, historically a strong technology-player in the Quality of Service/Quality of Experience market, just announced US$40 million of funding in a re-launch to test building more complete analytics solutions. Samba, an automatic-content recognition (ACR)-based measurement platform for Smart TVs, similarly completed a US$30 million round to disrupt the measurement space. ABI Research finds Samba to be unique in its ability to capture total device viewing, not limited to a specific service.
“Offering an analytics dashboard is table stakes for technology companies offering any component of a video distribution service,” concludes Rosen. “The ability to charge for the solution derives from moving from descriptive to predictive analytics, as well as offering modules for new roles within the video service provider. True next-generation solutions must offer comprehensive data architectures, as well as offer tools to enable prescriptive analytics or self-optimization via artificial intelligence and machine learning.”
These findings are from ABI Research’s Analytics Opportunity in Video Services report. This report is part of the company’s Video, VR & OTT research service, which includes research, data, and analyst insights.
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