Billions of dollars are spent to engage developers in platforms, tools and services. As the Internet of Things brings computing to every object, from the most mundane to the most sophisticated, a new wave of developer tools is arriving. Developers are such an important audience, so it’s only right that managers of developer products and services should have proper developer marketing tools.
This report offers one such marketing tool: a proven, state-of-the-art segmentation model for IoT developers.
It goes beyond segmentation and it can help product managers to:
- Optimize the value proposition of their developer product
- Identify the type of developer they are best positioned to be targeting
- Fine-tune their messaging and outreach strategy so that it resonates with the developer segments of interest.
The IoT Developer Segmentation 2016 report comes with a single-user license. If you are interested in an enterprise-wide license please contact us.
- How can you fine-tune your developer product to effectively target IoT developers?
- How can you best adjust your messaging to address the needs of the developers you are most interested in?
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 VisionMobile over a period of six weeks between October and November 2015. 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.
Respondents were asked to self-identify as mobile, desktop, IoT or cloud developers, or a combination of those. Over 12,000 developers indicated involvement the Internet of Things, out of which 4,400 were asked detailed questions on their role as IoT developers. 3,700 of them answered specific questions about open source usage. This group is the basis of our analysis throughout this report. We consider everyone who is involved in the production cycle of an IoT project to be an IoT developer, whether or not they are writing code. 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.