OTT playback doubled in 2017

Measurement and analysis service provider Conviva released an assessment report on streaming media in 2017. The report shows that the growth rate of the main market indicators of OTT business has doubled, and it describes how to improve startup time, thereby driving the viewing time of 2 billion hours. The growth also includes many trend analysis including equipment, applications, and regions.

Part One: OTT Market Status

Watching time

According to Conviva's global customer data, viewing time in 2017 exceeded 12.6 billion hours, an increase of 100% from the previous year. These viewing hours are achieved through 2.4 billion different devices. The viewing time by region is as follows: North America accounted for 58%, Europe accounted for 21%, Asia accounted for 19%, and other regions accounted for 2%. Conviva has witnessed the development in the past few years of watching the development of diverse OTT services from traditional linear pay-TV to OTT service providers, MVPDs and pay-TV providers, along with viewing channels. The length of time has grown rapidly. Conviva expects that existing customers and new customers will continue to drive this growth in 2018.

Play amount

Globally, Conviva's data shows a total of 38.8 billion plays, an increase of 74% over the same period last year. North America accounted for 54%, Asia accounted for 25%, Europe accounted for 18%, and other regions accounted for 3%. As of December 2017, browser video traffic on the Conviva platform accounted for 36%, while video applications accounted for 64%. The proportion of this data is exactly the opposite of the situation in December 2016, with video applications growing by 160% and browsers only growing by 23% (the second part contains browser, application quality experience data). Although most of Conviva's publishers continue to support native applications and various browser-based player frameworks, data for 2017 shows that consumer preferences have shifted from browser-based streaming to native applications. With the increasing popularity of TV-connected OTT devices and applications, the relevant data below may explain this phenomenon.

Concurrency

In the past year, Conviva experienced many peak concurrent events, with a peak of 9.76 million concurrent connections. In general, the ratio increased by 103% in the past year. These watch peaks are often driven by the popularity of live sports events around the globe and the introduction of new original content that shows viewers as if they are watching live shows. Year after year, Conviva has witnessed such gains and the general rise of the benchmarks. In addition, without distinguishing device differentiation, Conviva observed an average viewing completion rate of 46.6%, and each device’s viewing time increased by 71%. According to the type of device, the average viewing completion rate for the whole year is Xbox, followed by Roku box, Android device and IOS device. This data shows (assuming that most Xbox devices and Roku boxes are placed at home, not mobile devices) and that traditional home television viewing behavior is more conducive to the completion of series or live events. Streaming media viewing on mobile devices may be more susceptible to disruption or simply a means to pass time when people are impatient.

equipment

Conviva's data shows that compared with mobile devices and traditional computers, streaming OTT TV devices are the most driving force for video consumption. Among them, the Roku box has the strongest driving force, followed by FireTV, Apple TV, game controllers including PlayStation and Xbox, and streaming devices such as Chromecast. The mobile platform has the nextest driving force for video streaming. Conviva shows that IOS devices are twice as powerful as Android devices (7.45 hours per device versus 3.22 hours per device). The video stream on the Mac was viewed twice the normal PC video stream (3.16 hours vs. 1.57 hours). For a comprehensive view of the popularity of streaming media devices, see the table below, which shows the percentage of playbacks and viewing time as a percentage of total traffic.

Part II: OTT Streaming Video Quality of Experience (QoE)

Conviva pays close attention to and sets key performance indicators (KPIs) to drive user growth and customer retention of four global quality of experience metrics including: re-buffering rate, video start time (VST), bit rate, video start failure, or exit ( VSF).

Video start time

According to statistics from Conviva, the number of video playback attempts in 2017 totaled 47.1 billion times, of which 38.8 billion were successfully played. The remaining 17.7% of unsuccessful playbacks were mainly caused by video start failure (VSF) or video exit (EBVS). This is equivalent to a viewer trying to watch the video 8.3 billion times and is unsuccessful. In the past year, video startup failures accounted for 3.6%, while video exits prior to startup accounted for 14.1%. The 8.3 billion failures in 2017 may result in 2.6 billion viewing times for the OTT market.

Last year, the video startup time was an average of 4.84 seconds (up 23% over last year), and the average monthly video startup time was a maximum of 6.82 seconds and a minimum of 4.07 seconds. When there is a high load or operational problem with the content distribution network (CDN), the video startup time can increase dramatically. In December 2017, the video startup time in the application was 4.37 seconds, and the video startup time of the browser platform was 5.96 seconds. This difference will remain unchanged for most of this year. Overall, the average code rate of Conviva is 3.44Mbps, which is an increase of 25% from the previous year. As the code rate increases and the pixels drop at the same time, the high-resolution screen can be fully applied.

Caching technology

Re-buffering rate is the ratio of the time the consumer waits for the video to load and play versus the length of time the video is played. Therefore, for a 30-minute program, a 1% re-buffering rate means that the viewer experienced an 18-second interruption that caused the viewing to wait. The average re-buffering rate was 0.95% last year, with a monthly average of 0.79% and a maximum of 1.66%. The increase rate in the past year was about 0.1%.

Participation

How much impact does the buffer have on watch time, viewer satisfaction, and final income? Conviva's global data shows that in 2017, a 0.2% rebuffering rate increase will result in a reduction of watch time of almost eight minutes! In addition, the re-buffering rate Rising may reduce the participation rate by more than 50%. The table below shows the correlation between re-buffering rate and viewing participation. Please note that the first column in the figure below is from the streaming browser (when the user is looking for content, they can click to quickly watch or exit the video). Overall, these data mean that real-time monitoring of QoE metrics can be used as a predictor to increase or decrease engagement, audience satisfaction, and OTT revenue.

The OTT market continues to exhibit explosive growth, not only in the number of viewers, but also in the duration of watching. The data in this report is based solely on Conviva's customer data. Conviva's customer base accounts for nearly 60% of Internet users. It also covers seven of the top ten streaming video on demand (SVoD) suppliers in the United States. It also includes global coverage. Other OTT service providers within. According to Conviva, this is the world’s largest continuous survey of OTT streaming media covering multiple publishers.

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