Worldwide Developer Population and Demographic Study 24.1

Report Overview

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Abstract

Worldwide Developer Population and Demographic Study: 35th Edition

Global Developer Population Numbers and Statistics: 2024 through 2029

Now in its 35th iteration, the Worldwide Developer Population and Demographic Study 24.1 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.

View the table of contents listing the population segmentations and question overlays

Read Report Excerpts:

The latest sections include:

  • Global Developer Population Summary and Forecast (2024-2029)
  • North American Developer Population Summary (2024-2029)
  • EMEA Developer Population Summary (2024-2029)
  • APAC Developer Population Summary (2024-2029)
  • Latin American Developer Population Summary (2024-2029)
  • Top 15 Countries' Developer Population Summaries 2024 vs. 2029
  • Demographics & Firmographics
  • Region
  • Developer Segment
  • Job Description
  • Age
  • Education
  • Developer Program Membership
  • Company Age
  • Type of Software Developed
  • Influence in Purchasing
  • Primary Development Focus
  • Platforms and Development Targets
  • Primary Host Operating System Today
  • Target Platforms
  • Target Form Factors
  • Mobile Development
  • Plans for IoT Development
  • Sensor Use in Software
  • Plans for AI and Machine Learning
  • Environments Used for Running AI Projects
  • Web Development
  • Cloud and the Edge
  • Plans for Using the Cloud as a Development Environment
  • Plans for Deploying Apps to the Cloud
  • Nature of Cloud Workloads
  • Experience Deploying to the Edge
  • Virtualization & Containerization
  • Use of Virtualization
  • Plans for Containerization
  • Virtualization Practices Implemented
  • Infrastructure Development
  • Involvement in Optimizing Storage Solutions
  • Plans for Building a Software Defined Storage Environment
  • Network App Development
  • Involvement in Optimizing Network Solutions
  • Plans for Building a Software Defined Network Environment
  • Typical Production Environments
  • Development Lifecycle
  • Use of Cryptography Libraries & Algorithms
  • Primary Use Case For Cryptography
  • Language Use
  • Third Generation Languages
  • Scripting Languages

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 35 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

Report Length: 84 Pages
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