Attracting and retaining developers is of strategic importance to building competitive advantage in every industry, now that the era of the Internet of Things is upon us. However, with hundreds of IoT platforms, tools, APIs vying for developer attention, sticking out of the noise is a daunting task.
To design effective outreach campaigns to IoT developers, it is crucial to know where they go to stay up to date. Which sources of information are popular? Which channels are the best investments of your time and resources?
In this report, based on the 11th edition Developer Economics survey reaching 2,600+ IoT developers, we look at which information sources are on the rise. We break down the popularity of these sources by how developers are involved in IoT, their psychographic segments, and their professional background. We focus in particular on communities of IoT developers - a key source of information sharing and peer-to-peer influence.
- Which channels to reach IoT developers are the best investments of your time and resources?
- Which information channels are getting more popular over time?
- To whom should you target your developer events to create the maximum resonance and value?
- Which developer communities do IoT developers attend?
- How does the developer’s background and focus (hardware, software, or data) affect his information preferences?
- How important is it to communicate in the developer’s own language?
To get a full list of this report’s contents and a sample graph, please download the brochure.
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 April and May 2016. Developer Economics 11th edition reached an impressive 16,500+ respondents from 145 countries around the world. As such, the Developer Economics series continues to be the most global independent research on mobile, desktop, IoT and cloud developers. The survey received 2,640 responses from Internet of Things developers.
Our data were thoroughly checked and cleansed for response inconsistencies. Based on vigorous statistical methods we also weighted the responses to correct for bias related to region, segment and type of IoT project.
For more information about our methodology, please visit https://www.slashdata.co/methodology