Report

The Future of Platform Engineering Report

Insights into the the future of Platform Engineering

Future of Platform Engineering Report cover

The Future of Platform Engineering report examines where Platform Engineering stands as an established discipline, and what separates the platforms that succeed from those that struggle. Our research is based on survey data from technical platform practitioners worldwide, combined with a review of the current literature.

The goal of this report was to explore why organizations adopt platforms, the reasoning that shapes what they build and buy, the obstacles they meet along the way, and what high-performing teams do differently.

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Practices mapped to payoffs

Organizations adopt platforms primarily for automation and efficiency purposes. Developer experience is still a consideration, but less of a priority for most. When they explain why the initiative was funded, automation comes first. This was a consistent finding in our previous report, the 2025 Platform Engineering Pulse report.

The motivation behind platform adoption is important as it shapes how success is measured. A platform funded for efficiency reasons and later judged on developer experience will look like a failure that isn’t one. Teams that name their primary motivation early have a clearer basis for knowing whether the platform worked.

Top 10 reasons for adopting platforms.
Build versus buy associations with lack of strategy and technical complexity

Struggling teams most often report a lack of clear strategy as their obstacle, ahead of the technical complexity of building a platform.

Organizations that predominantly build their platform features from scratch are also the most likely to report this gap. Of respondents building from scratch, 57.9% also cite a lack of a clear strategy as an obstacle. While this may suggest that teams are building without a plan, many engineers build to work out a problem, which makes the build a method rather than a problem. This would explain why these two often turn up together.

Expected benefits and wellbeing outcomes Routes to goal delivery and features linked to AI impact

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