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The Consumer smartphone usage 2014: headline results

  • February 2015
  • -
  • Analysys Mason
  • -
  • 41 pages

19% of all smartphone traffic observed in the panel was carried over the cellular network and 81% was carried over Wi-Fi.

Mobile devices
This report analyses the real-world handset data usage patterns of consumers in France, Germany, the UK and the USA. Deep analysis of mobile data usage is important because mobile data is now the main engine of revenue growth for operators in developed markets.
The analysis is based on data from 3Q and 4Q 2013 provided by Nielsen, using an app developed by Arbitron Mobile.
This report provides information about:
changes in handset data usage and the apps that drive data consumption.
the role that device capabilities, such as screen size and LTE support, play in affecting handset data usage
the changing role of Wi-Fi and the types of hotspots to which 'real-world' consumers connect their smartphones
the demographic trends associated with changes in usage.

GEOGRAPHICAL COVERAGE

Data is provided for the following individual countries:
France
Germany
UK
USA

Table Of Contents

The Consumer smartphone usage 2014: headline results

Table of contents


6.Executive summary


7.Consumers are changing the way that they engage with smartphones and screen size is significantly driving this change


8.Online video accounts for most of handset data use and both LTE and higher-specification devices will encourage greater use


9.Full service substitution of legacy services remains rare despite high penetration levels of IP communications apps


10.The adoption of digital economy apps has increased rapidly, reaching a level similar to that of the popular multimedia apps


11.Recommendations


12.Recommendations


13.The relationship between device specifications and app usage


14.Communication continues to be an important part of smartphone usage, but its role is diminishing to be replaced by digital economy services


15.Screen size affects app usage - large phones are used about twice as much as small phones


16.The relationship between the size of the device and the amount of cellular and Wi-Fi data that it generates is strong and clear


17.Mobile gaming is a key driver for increasing app usage on high-end smartphones


18.Mobile data usage: the role of 3G, LTE and Wi-Fi


19.Online video accounts for most handset data use, but gaming and messaging have relatively low data rates despite high usage


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.Handset traffic is, and will remain, predominantly carried over Wi-Fi


22.The vast majority of smartphone Wi-Fi traffic was generated in the home


23.Analysis of communication app usage and substitution


24.IP messaging services are growing rapidly - they have achieved mass adoption in Germany, and the UK is set to follow


25.WhatsApp and the ‘social messaging' apps are rivalling Facebook in terms of user engagement


26.Full service substitution of legacy services remains rare despite high penetration levels of IP communications apps


27.Mobile operators are not equally affected by communication app adoption


28.The digital economy, commerce and mobile banking


29.The adoption of digital economy apps has increased quickly in the past 2andnbsp;years, reaching a level similar to that of the popular multimedia apps


30.The barriers to entry into the app development market are lower than previously, which is driving local mobile commerce app development


31.The adoption of mobile banking apps has risen from 8% of our panel to 44% in 2 years, thanks to a strong industry push


32.Methodology and panel information


33.Methodology and definitions [1]


34.Methodology and definitions [2]


35.About the authors and Analysys Mason


36.About the authors [1]


37.About the authors [2]


38.About Analysys Mason


39.Research from Analysys Mason


40.Consulting from Analysys Mason


List of figures


Figure 1: andnbsp; Average daily app usage by app category, 2011 and 2013 (2011:
n = 1079; 2013: n = 1596)


Figure 2: andnbsp; Key app sub-categories by average percentage of time and average percentage of data traffic (n= 1588)


Figure 3: andnbsp; Time spent using IP messaging apps as a proportion of overall time spent using messaging services (including SMS/MMS) (n = 1153)


Figure 4: andnbsp; Penetration of apps by category, and corresponding growth between 2011 and 2013 (2011: n = 1079; 2013: n = 1596)


Figure 5: andnbsp; Average daily app usage by app category, 2011 and 2013 (2011:
n = 1079; 2013: n = 1596)


Figure 6: andnbsp; Median app usage and number of apps used per panellist, by smartphone screen size (nandnbsp;=andnbsp;1596)


Figure 7: andnbsp; Median data usage by network type and smartphone screen size (nandnbsp;=andnbsp;1588)


Figure 8: andnbsp; Average app usage by category, by device models for Apple and Samsung (nandnbsp;=andnbsp;795)


Figure 9: andnbsp; Top-10 apps by handset traffic (n = 1588)


Figure 10: andnbsp; Key app sub-categories by average percentage of time and average percentage of data traffic (n=1588)


Figure 11: andnbsp; Average MoU by app category for panellists (n = 1588)


Figure 12: andnbsp; Distribution of total smartphone traffic across all panellists (n = 1588)andnbsp;


Figure 13: andnbsp; Panellists who connected to Wi-Fi by category of hotspot and the average amount of their total cellular data usage attributable to that category, Android users (n = 1211)


Figure 14: andnbsp; Penetration of social networking and communication apps (excluding email), by country (n = 1596)


Figure 15: andnbsp; Penetration of IP message apps, by age and country (n = 1596)


Figure 16: andnbsp; Average daily usage of selected communications and social networking apps (n = 1596)


Figure 17: andnbsp; Time spent using IP messaging apps as a proportion of overall time spent using messaging services (including SMS/MMS) (n = 1153)


Figure 18: andnbsp; Penetration of IP messaging services, by network operator and country (n = 1447)


Figure 19: andnbsp; Penetration of VoIP services, by network operator and country (nandnbsp;=andnbsp;1447)


Figure 20: andnbsp; Penetration of apps by category, and corresponding growth between 2011 and 2013 (2011: n = 1079; 2013: n = 1596)


Figure 21: andnbsp; Commerce apps used by panellists, by type of app (n = 1398)


Figure 22: andnbsp; Penetration and average app usage by mobile financial services app type (n = 1596)


Figure 23: andnbsp; Panellists' gender, by country of observation


Figure 24: andnbsp; Panellists' age, by country of observation


Figure 25: andnbsp; Panellists' handset OS, by country of observation

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