Taking data from the 10th edition of Developer Economics – the leading research program on software developers and the app economy – this report looks at developers who are creating applications for deployment on mobile platforms, segmenting them by what drives them to create those apps. Mobile developers were the poster child for the app revolution: a good idea, a few lines of code, and revenue would flood in thanks to innovative distribution and monetisation models which have become standard across the software industry.
The 10th edition of the Developer Economics survey reached over 21,000 respondents from 150 countries and provides detailed data on thousands of mobile developers. The survey tracks developer experiences across platforms, revenues, apps, languages, tools, APIs, segments and regions, allowing us to extract information on the developer groups we’re most interested in.
In this report we look in detail at the mobile developer communities, seeing motivations map to tools and business models, providing an insight into what applications they are creating and how they are creating them.
The Mobile Developer Segmentation 2016 report comes with a single-user license. If you are interested in an enterprise-wide license please contact us.
How is the mobile developer population split into goal-based segments and why are they important?
How does that split vary across platforms, and what’s the breakdown of primary platforms by segment?
How do different segments choose languages and tools?
How do revenue models, application categories, and audiences vary by segment?
To get a full list of this report’s contents and a sample graph, please download the brochure.
Developer Economics 10th edition reached an impressive 21,000+ respondents from 150 countries around the world. As such, it is the most global research on mobile, desktop, IoT and cloud developers combined ever conducted. This report is based on a large-scale online developer survey designed, produced and carried out by SlashData over a period of six weeks between October and November 2015.
From that sample 11,522 were selected at random to answer detailed questions on their role as mobile developers. This group is the basis of our analysis throughout this report.
To minimise the sampling bias for platform distribution across our outreach channels, we weighted the responses to derive a representative platform distribution. We compared the distribution across a number of different developer outreach channels and identified statistically significant channels that exhibited the lowest variability from the platform medians across our whole sample base. From these channels we excluded the channels of our research partners to eliminate sampling bias due to respondents recruited via these channels. We derived a representative platform distribution based on independent, statistically significant channels to derive a weighted platform distribute.