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The Consumer smartphone usage 2014: mobile data usage

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This report presents the findings from Analysys Mason analysis of consumer smartphone usage. This report focuses on the use of handset data services, specifically app–data relationships, and the role of LTE and Wi-Fi.

 6.Executive summary
 7.Executive summary: 81% of handset data generated on smartphones in our panel was carried over Wi-Fi
 8.Executive summary: Online video accounts for most handset data usage, and LTE and high-specification devices will encourage  greater use
 9.Recommendations
 10.Recommendations
 11.Changes in handset data usage
 12.Mobile data is the main engine of revenue growth for Western operators and understanding how handset data use is changing is vital
 13.LTE take-up in the USA will reach 58% by the end of 2015
 14.Handset data traffic is, and will continue to be, predominantly carried over Wi-Fi
 15.Most handset data usage is on Wi-Fi so operators must adjust cellular data pricing
 16.The price and monthly allowance constraints of cellular data potentially inhibit cellular data usage from being used in the same way  as Wi-Fi
 17.Drivers of change: LTE and device capabilities
 18.LTE users in the USA had similar Wi-Fi usage profiles to non-LTE users, but their cellular data usage was effectively three times  higher
 19.The relationship between the size of the device and the amount of cellular and Wi-Fi data that it generates is strong and clear
 20.LTE users used their devices for 63% longer per day than average and generated 2.7 times as much cellular data traffic as non-  LTE users
 21.Online video accounts for most handset data usage, but gaming and messaging have relatively low data rates despite high usage
 22.Operators have ‘zero rated’ many categories of app and this could be applied to other categories
 23.Drivers of change: the role of Wi-Fi
 24.The role of Wi-Fi directly affects the monetisation of cellular data services
 25.Most smartphone Wi-Fi traffic was generated in the home
 26.The use of Wi-Fi in public locations is particularly developed in the UK with strong community Wi-Fi and high Wi-Fi use in retail establishments
 27.Demographic analysis of data use
 28.The early majority demographic profile of ‘young users consume more cellular data’ may be being disrupted
 29.There is an untapped demographic of 4G-capable handset users that are strong potential targets for upselling 4G services
 30.There is not a significant correlation between Wi-Fi and cellular data distribution, and demographics do not appear to play a significant role
 31.Methodology and definitions
 32.Methodology and definitions [1]
 33.Methodology and definitions [2]
 34.About the authors and Analysys Mason
 35.About the authors
 36.About Analysys Mason
 37.Research from Analysys Mason
 38.Consulting from Analysys Mason


List Of Figures

 Figure 1:  Distribution of total smartphone traffic across all panellists
 Figure 2:  App sub-categories by average percentage of time and average percentage of data traffic
 Figure 3:  Mobile data as a percentage of service revenue for residential customers, by country or region, 2010–2019
 Figure 4:  Percentage of panel that had an LTE-capable handset and that used LTE
 Figure 5:  LTE-capable handsets as a percentage of all handsets, by country or region, 2010–2019
 Figure 6:  Distribution of total smartphone traffic across all panellists
 Figure 7:  Distribution of smartphone panellists, by type of data connectivity
 Figure 8:  Distribution of total average monthly smartphone cellular data traffic, by percentile
 Figure 9:  Distribution of total average monthly smartphone Wi-Fi traffic, by percentile
 Figure 10:  Average monthly data usage for customers who did and did not use LTE, by network type, USA
 Figure 11: Median data usage by network type and smartphone screen size
 Figure 12:  Average MoU by app category for panellists
 Figure 13:  Top-ten apps by handset traffic
 Figure 14:  App sub-categories by average percentage of time and average percentage of data traffic
 Figure 15:  Data traffic by app category and network type
 Figure 16:  Illustration of access technologies used for mobile data and voice coverage in an ‘inside-out’ MNO model
 Figure 17:  Percentage of panellists that connected to Wi-Fi, by hotspot category, and the average amount of their Wi-Fi data usage attributable to that category, Android users
 Figure 18:  Percentage of respondents who connected to Wi-Fi, by hotspot category and country
 Figure 19:  Monthly cellular data usage by age group, 2011 and 2013
 Figure 20:  Monthly cellular and Wi-Fi data usage by country and subscription type
 Figure 21:  Percentage of panellists who use 4G services, by gender and age group
 Figure 22:  Percentage of panellists who own a 4G-capable handset but did not use 4G services, by gender and age group
 Figure 23:  Distribution of panellists by Wi-Fi and cellular data percentile
 Figure 24:  Panellists’ gender, by country of observation
 Figure 25:  Panellists’ age, by country of observation
 Figure 26:  Panellists’ handset OS, by country of observation


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Reports Details

Published Date : Apr 2015
No. of Pages :39
Country :Global
Category :Telecommunications
Publisher :Analysys Mason Limited
Report Delivery By :Email
Report Delivery Time :12 to 24 hours after placing the order.

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