Welcome!

News Feed Item

Conviva Releases 2014 Viewer Experience Report

Conviva, the leader in video analytics, delivery optimization and big data processing, today released its 2014 Viewer Experience Report, detailing the state of online video streaming performance across multiple devices. The report is based on global data from 45 billion video streams, seen across more than 1.6 billion individual devices and on more than 400 premium media video players, analyzed throughout 2013.

Key report findings include:

State of the Streaming Industry

Despite modest improvements in the quality of performance of streaming video, viewer expectations continue to increase at a much faster pace. In the past two years, the amount of time lost from a viewing session with a 1% buffering increase, grew from three to eight minutes, showing that viewers were much more tolerant of video playback problems just two years ago than they are today.

In 2013, based on Conviva data:

  • Video buffering decreased from 39.3% to 26.9%
  • Low-resolution delivery improved from 63% to 43.3%
  • More than two in five views were grossly inferior video quality
  • Video start failures increased to one in 20 times

Impact of Quality by Content Genre

According to Conviva’s metrics, viewing time for live action television plummets from over 40 minutes in HD to just one minute if the viewer encounters buffering. High definition delivery for sports and entertainment is a critical component for success; viewers watch over two and a half times as long in high definition than in standard definition.

“The demand for high quality and minimal buffering across devices has clearly been demonstrated by viewers,” stated Hui Zhang, CEO and co-founder of Conviva. “Our job, and that of our industry, is to ensure we improve performance at a rate that offers satisfaction rather than frustration. Conviva’s Video Experience Report offers insight for companies to identify where they need to improve.”

Multiscreen Turning Primetime Viewing into a Solo Activity

Conviva data shows that connected devices are starting to reshape the experience of television during what has traditionally been family viewing time. A study of streaming households (measured by distinct IP address) shows that the number of concurrent streaming devices has increased by 28% year-over-year. This fragmentation of the viewing audience is a clear indicator that the old measurement of “television households” needs to change and new metrics for today’s TV viewing need to be adopted.

Online Viewing Is a Multiscreen Proposition

Conviva data suggests that consumers are embracing the multiscreen video lifestyle, using different screens throughout the day. The preferred device of choice changes from:

  • 6-10 a.m.: Mobile devices – 6.9% of all video streamed daily
  • Noon-4 p.m.: PC – 16.3% of all video streamed daily
  • 7-11 p.m.: TV - 36.6% of all video streamed daily

“Some companies are doing a great job delivering high-quality video to all screens, but many are not minimizing buffering while maintaining video quality,” warned Colin Dixon, founder and chief analyst of nScreenMedia. “In those instances, one bad viewing experience on a single device puts all screens at risk. Continuity of quality across screens is very important.”

The findings in the Viewer Experience Report are critical for online video providers who are investing in their 2014 digital media strategies. The complete Viewer Experience Report can be downloaded directly from Conviva at www.conviva.com/VXR.

About the Viewer Experience Report

The 2014 Viewer Experience Report highlights trends extracted from data provided by the 45 billion streams that Conviva analyzed across customers, geographies and devices in 2013. These streams were seen across more than 1.6 billion individual devices – including tablets, smartphones, PCs and connected TVs – and on more than 400 premium media video players. Recording detailed, real-time information on each and every viewer’s experience during every viewing session, Conviva data offers an unparalleled view into the habits of streaming video viewers and more importantly, the direct correlation between video quality and its impact on the business of online video providers.

About Conviva

Conviva’s Intelligent Control Platform enables online video providers to deliver a TV-quality experience over the Internet. This real-time big data processing platform utilizes advanced algorithms to give content publishers control over video delivery, helping them analyze, identify and preemptively avoid bottlenecks and breakdowns in a complex and fragile Internet delivery environment. Conviva’s global customer base includes premium entertainment, news, sports and media brands, as well as leading service providers in 180 countries. Conviva is based in Silicon Valley, with offices in New York and London.

For more information about Conviva, visit www.conviva.com and follow us on Twitter @Conviva.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
Struggling to keep up with increasing application demand? Learn how Platform as a Service (PaaS) can streamline application development processes and make resource management easy.
New Relic, Inc. has announced a set of new features across the New Relic Software Analytics Cloud that offer IT operations teams increased visibility, and the ability to diagnose and resolve performance problems quickly. The new features further IT operations teams’ ability to leverage data and analytics, as well as drive collaboration and a common, shared understanding between teams. Software teams are under pressure to resolve performance issues quickly and improve availability, as the comple...
The proper isolation of resources is essential for multi-tenant environments. The traditional approach to isolate resources is, however, rather heavyweight. In his session at 18th Cloud Expo, Igor Drobiazko, co-founder of elastic.io, will draw upon their own experience with operating a Docker container-based infrastructure on a large scale and present a lightweight solution for resource isolation using microservices. He will also discuss the implementation of microservices in data and applicat...
Join IBM June 8 at 18th Cloud Expo at the Javits Center in New York City, NY, and learn how to innovate like a startup and scale for the enterprise. You need to deliver quality applications faster and cheaper, attract and retain customers with an engaging experience across devices, and seamlessly integrate your enterprise systems. And you can't take 12 months to do it.
See storage differently! Storage performance problems have only gotten worse and harder to solve as applications have become largely virtualized and moved to a cloud-based infrastructure. Storage performance in a virtualized environment is not just about IOPS, it is about how well that potential performance is guaranteed to individual VMs for these apps as the number of VMs keep going up real time. In his session at 18th Cloud Expo, Dhiraj Sehgal, in product and marketing at Tintri, will discu...
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, will discuss how research has demonstrated the value of Machine Learning in delivering next generation analytics to im...
This is not a small hotel event. It is also not a big vendor party where politicians and entertainers are more important than real content. This is Cloud Expo, the world's longest-running conference and exhibition focused on Cloud Computing and all that it entails. If you want serious presentations and valuable insight about Cloud Computing for three straight days, then register now for Cloud Expo.
As you respond to increasing requests for new analytics, you need fast and flexible technology in your arsenal so that you can deploy the right workload to the right platform for the need at hand. Do you need self-service and fast time to value? Do you have data and application control and privacy needs, along with strict SLAs to meet? IBM dashDB™ is data warehouse technology powered by in-memory computing and in-database analytics that are designed for fast results, scalability and more.
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
SYS-CON Events announced today that SoftLayer, an IBM Company, has been named “Gold Sponsor” of SYS-CON's 18th Cloud Expo, which will take place on June 7-9, 2016, at the Javits Center in New York, New York. SoftLayer, an IBM Company, provides cloud infrastructure as a service from a growing number of data centers and network points of presence around the world. SoftLayer’s customers range from Web startups to global enterprises.
So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, will provide tips on how to be successful in large scale machine lear...
Up until last year, enterprises that were looking into cloud services usually undertook a long-term pilot with one of the large cloud providers, running test and dev workloads in the cloud. With cloud’s transition to mainstream adoption in 2015, and with enterprises migrating more and more workloads into the cloud and in between public and private environments, the single-provider approach must be revisited. In his session at 18th Cloud Expo, Yoav Mor, multi-cloud solution evangelist at Cloudy...
IoT device adoption is growing at staggering rates, and with it comes opportunity for developers to meet consumer demand for an ever more connected world. Wireless communication is the key part of the encompassing components of any IoT device. Wireless connectivity enhances the device utility at the expense of ease of use and deployment challenges. Since connectivity is fundamental for IoT device development, engineers must understand how to overcome the hurdles inherent in incorporating multipl...
The paradigm has shifted. A Gartner survey shows that 43% of organizations are using or plan to implement the Internet of Things in 2016. However, not just a handful of companies are still using the old-style ad-hoc trial-and-error ways, unaware of the critical barriers, paint points, traps, and hidden roadblocks. How can you become a winner? In his session at @ThingsExpo, Tony Shan will present a methodical approach to guide the holistic adoption and enablement of IoT implementations. This ov...
We’ve worked with dozens of early adopters across numerous industries and will debunk common misperceptions, which starts with understanding that many of the connected products we’ll use over the next 5 years are already products, they’re just not yet connected. With an IoT product, time-in-market provides much more essential feedback than ever before. Innovation comes from what you do with the data that the connected product provides in order to enhance the customer experience and optimize busi...