The Technology Adoption Curve, Twenty Years On

https://www.infoq.com/articles/adoption-curve-twenty/

Publish Date: 2026-06-08 04:30:00

InfoQ launched on June 8, 2006, with a particular editorial bet: the most valuable thing a software developer publication could do was identify ideas in the innovator and early adopter stages of the technology adoption curve, get practitioners to write about them honestly, and put that material in front of senior engineers before the early majority showed up. The focus was on adoption and real-world experience, not hype.

Today, June 8th, InfoQ celebrates 20 years. That framing of innovators, early adopters, early majority, late majority, and laggards is still on the About page because it remains central to InfoQ’s editorial approach. It continues to guide our coverage and trends reports, helping map emerging technologies and practices against the technology adoption curve.

InfoQ’s story is not only visible in broad movements like Agile, cloud, or AI. Technologies that later became mainstream surfaced on the site while still in their formative years: Doug Cutting discussed MapReduce and Hadoop in 2007, and Salvatore Sanfilippo (Antirez) shared his vision for Redis.

Java deserves a mention, being a constant presence on InfoQ from day one. When the site launched in 2006, Sun Microsystems was still an independent company. Over the next two decades, InfoQ followed Java’s evolution through enterprise frameworks, cloud-native architectures, containers, microservices, GraalVM, and virtual threads. The journey stretches from some of InfoQ’s earliest Java coverage to recent community phenomena such as the One Billion Row Challenge. Twenty years on, Java developers are still finding new ways to push the platform to its limits.

What follows is not a comprehensive history. It is a deliberately selective walk-through of the trends InfoQ called early, where they are on the curve in 2026, and how the curve may evolve over the next five to ten years.