October 31, 2022
State of the Developer Nation 23rd Edition - Q3 2022
SlashData's Developer Nation is the leading research programme on mobile, desktop, industrial IoT, consumer electronics, embedded, third-party app ecosystems, cloud, web, game, AR/VR and machine learning developers*, as well as data scientists, tracking developers' experience across platforms, technologies, programming languages, app and API categories, revenue models, segments, and regions.
*Unless stated otherwise throughout the report, by “developers” we mean everyone who self-identifies as being involved in the software development ecosystem, including individuals holding business (e.g. product managers, C-level executives) and creative (e.g. UI/UX designers) roles.
The 23rd edition of the Developer Nation global survey wave ran from June to August 2022 and reached more than 26,000 developers in 163 countries. This research report delves into key developer trends for Q3 2022 and beyond.
The report focuses on six major themes - each with its own visualisations - showing how the data lends insight into the developer community.
The Developer Nation series of surveys reaches nearly 20,000 respondents from more than 160 countries around the world every six months. As such, it continues to be the most global independent research on mobile, desktop, industrial IoT, consumer electronics, embedded, third-party app ecosystems, cloud, web, game, augmented and virtual reality, and machine learning developers and data scientists combined, ever conducted. The report is based on the 23rd edition of the Developer Nation survey, which was designed, produced, and carried out by SlashData over a period of nine weeks between June and August 2022.
Respondents to the online survey include major app and machine learning development hotspots such as the US, China, India, Israel, the UK, and Russia, even stretching all the way to Kenya, Brazil, and Jordan. The geographic reach of this survey is truly reflective of the global scale of the developer economy. The online survey was translated into eight languages in addition to English, namely simplified Chinese, traditional Chinese, Spanish, Portuguese, Vietnamese, Russian, Japanese, and Korean, and was promoted by more than 80 leading community and media partners within the software development industry.
To eliminate the effect of regional sampling biases, we first weighted to correct for over-represented individual countries within regions. We then weighted the regional distribution across nine regions by a factor that was determined by the regional distribution and growth trends identified in our Developer Nation research. Each of the separate branches: mobile, desktop, Industrial IoT, consumer electronics, embedded software, third-party app ecosystems, cloud, web, games, augmented and virtual reality, and data science and machine learning were weighted independently and then combined.
To minimise other important sampling biases across our outreach channels, we weighted the responses to derive a representative distribution for technologies used and developer segments. Using ensemble modelling methods, we derived a weighted distribution based on data from independent, representative channels, excluding the channels of our research partners, to eliminate sampling bias due to respondents who were recruited via these channels. Again, this was performed separately for each of mobile, industrial IoT, consumer electronics, embedded software, third-party app ecosystems, desktop, cloud, web, games, augmented and virtual reality, and data science and machine learning.
For more information on our methodology please visit https://www.slashdata.co/methodology.