This report provides data and insights on trends that allow you to estimate the addressable market for Internet of Things technologies, in terms of the number of developers using such technology. We measure the global population of active software developers, including serious hobbyists and students, who self-identify as being involved in the Internet of Things.
The report discusses several aspects of the IoT developer population that may help you to fine-tune your addressable market size. We split IoT developers by their professional involvement, involvement in developing hardware or firmware, vertical market, level of influence in purchasing decisions, geography, as well as their use of programming languages and specific IoT technologies.
The IoT Developer Population Forecast 2018 comes with a single user license. If you are interested in an enterprise-wide license please contact us.
- How many IoT developers are there?
- Who is considered an IoT developer?
- Which vertical markets are IoT developers serving?
- How much influence do IoT developers have on tool purchase decision?
- Where are IoT developers located?
- How big is the addressable market for specific IoT technologies?
- Which programming languages should your SDK prioritise?
To get a full list of this report's contents and a sample graph, please download a brochure.
Developer Economics is a large-scale online developer survey designed, produced and carried out by SlashData twice per year. As such, we have rich historical data to draw from. The research in this report draws on data going back to the 9th edition from Q2 2015 – the second edition in which we included IoT developers. Since then, over 50,000 IoT developers have responded to our surveys.
The 13th edition survey ran over a period of nine weeks between April and June 2017. It reached an impressive 21,200+ respondents from 157 countries. As such, the Developer Economics series continues to be the most global independent research on mobile, desktop, IoT, backend, web, game, AR/VR and machine learning developers and data scientists combined ever conducted.
For more information about our methodology, please visit https://www.slashdata.co/methodology