Revenue models of application developers in android market ecosystem

Sami Hyrynsalmi, Arho Suominen, Tuomas Mäkilä, Antero Järvi, Timo Knuutila

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

17 Citations (Scopus)

Abstract

Mobile application ecosystems have growth rapidly in the past few years. Increasing number of startups and established developers are alike offering their products in different marketplaces such as Android Market and Apple App Store. In this paper, we are studying revenue models used in Android Market. For analysis, we gathered the data of 351,601 applications from their public pages at the marketplace. From these, a random sample of 100 applications was used in a qualitative study of revenue streams. The results indicate that a part of the marketplace can be explained with traditional models but free applications use complex revenue models. Basing on the qualitative analysis, we identified four general business strategy categories for further studies.

Original languageEnglish
Title of host publicationSoftware Business - Third International Conference, ICSOB 2012, Proceedings
PublisherSpringer
Pages209-222
Number of pages14
ISBN (Print)978-3-642-30745-4
DOIs
Publication statusPublished - 1 Jan 2012
MoE publication typeA4 Article in a conference publication
Event3rd International Conference on Software Business, ICSOB 2012 - Cambridge, MA, United States
Duration: 18 Jun 201220 Jun 2012

Publication series

SeriesLecture Notes in Business Information Processing
Volume114
ISSN1865-1348

Conference

Conference3rd International Conference on Software Business, ICSOB 2012
CountryUnited States
CityCambridge, MA
Period18/06/1220/06/12

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Keywords

  • Android Market
  • business model
  • Mobile ecosystem
  • revenue model

Cite this

Hyrynsalmi, S., Suominen, A., Mäkilä, T., Järvi, A., & Knuutila, T. (2012). Revenue models of application developers in android market ecosystem. In Software Business - Third International Conference, ICSOB 2012, Proceedings (pp. 209-222). Springer. Lecture Notes in Business Information Processing, Vol.. 114 https://doi.org/10.1007/978-3-642-30746-1_17