Mobile Overview Report (MOVR)

ScientiaMobile's Mobile Overview Report (MOVR) has been featured in The New York Times and it provides timely data about device usage trends – focusing on smartphone, tablet, and feature phone usage – drawn from a sample of ScientiaMobile's internal data sources, averaging over 1 billion hits per month.

2018 Q2 Report Highlights - Release Date August 30, 2018
  • High Efficiency Video Coding (HEVC or H.265) Support: We analyze the support of hardware-accelerated video decoding in smartphone and tablets here.
  • Device-aware Video platforms: Based on support for hardware-accelerated HEVC video decoding, we examine the business and user benefits of building a mobile device-aware video platform.


  • Image Optimization: We analyze the impact of automatically optimizing JPEG images to make use of JPEG 2000 file format.
  • World Cup Rematch Spotlight: We compare the mobile usage of France and Croatia on top smartphones, tablets and operating systems during 2018 Q2 here.
  • Webinar: Sign up for webinar on September 5, 2018 here.
2018 Q2 Report

Try the MOVR Visualization Tool

See our MOVR data - drawn from a sample of our internal data sources, averaging over 1 billion hits per month.

Key Findings

Our short and sweet version of the MOVR, the MOVR Infographic summarizes global trends into continent-level data.

Source Data

Get to the heart of our findings by downloading our data. We offer files in CSV, JSON delimited, and JSON complete data files below.

Customized MOVR

Our mobile analysis at your fingertips. Need specific reporting or mobile insight? We can customize a complete MOVR to your specification. Ideal for consultants and data research companies.

Previous MOVR Reports

About Copying, Editing, and Redistribution

Mobile Overview Report and Key Findings: Users are free to copy and redistribute as long as they follow the license terms under the Creative Commons Attribution–Non Commercial–No Derivatives 4.0 International License.

Source Data: ScientiaMobile encourages users to remix, transform, and build upon this data set as long as the license terms under the Creative Commons Attribution–Non Commercial Share Alike 4.0 International License–are followed.