Worldwide Developer Population and Demographic Study: 32nd Edition
Global Developer Population Numbers and Statistics: 2022 through 2027
Now in its 32nd iteration, the Worldwide Developer Population and Demographic Study 22.2 combines intensive secondary research with a proprietary model to estimate the number of developers by country and region adopting various technologies within those geographies. It is the most comprehensive, current, and detailed data on the state of the global developer population predicting current developer populations along with 5-year projections.
The latest sections include:
- Developer Population Summaries and Forecasts: 2022-2027
- Developer Demographics and Firmographics
- Platforms and Development Targets
- Language and Technology Adoption
- Mobile and IoT Development
- Enterprise Development
- Artificial Intelligence & Machine Learning
- High Performance Computing
- API Usage and more!
This report combines Evans Data Corporation’s proprietary global developer population model with selected findings from the Evans Data Corporation’s semi-annual Global Development Survey. The data contained in this report can be a particularly useful tool that can help product managers, decision makers, and people involved with corporate strategies gain perspective on addressable markets for specific sectors in technology.
Every year, this report presents a record of the change and growth of the developer population. Through more than a decade of reporting the total number of developers worldwide, the one constant common through 32 volumes of this study is that the population of developers increases yearly at a very steady rate, though as we will see, there are a few events that may influence this steady growth. Ultimately, this report shows the capacity of each country to produce developers. Diving more deeply, we can also find a history of the development landscape. Over time, this report has shown the ascendance of particular technologies. It has also shown how technologies can fall by the wayside as developers flock to the next big thing.
The methodology used by Evans Data Corporation to establish the size and composition of the developer population consists of several phases. Evans Data Corporation calculated the actual population figures by using results from the Global Development Survey, which was filtered with respect to specific areas of interest, cross-tabbed with the four regions — North America; Asia-Pacific (APAC); Europe, the Middle East and Africa (EMEA); and Latin America — and then combined with the current results yielded from EDC’s propriety predictive model.
The proprietary methodology used by Evans Data Corporation to establish the size of the developer population takes place in four fundamental phases:
Phase I - Gathering and Evaluating Secondary Data: Data gathered from numerous sources and rigorously verified by team of analysts and statisticians
Phase II - Statistical Modeling: Proprietary computer simulation model ranks variables according to their predictive power—delivers country level developer population data
Phase III - Analysis: Model outputs are examined and tested
Phase IV - Reporting: Key population and demographics statistics produced and reported