First Coined In 2016 Data Overflow trend icon

Data Overflow

The growing amount of personal and corporate-owned data mixed with open data creates new challenges for better automated analysis tools, more AI, smarter curation, and more startup investment.

The 2016 Non-Obvious Trend Report, where Data Overflow was first coined

First published in the 2016 Non-Obvious Trend Report →

Trend Longevity Rating

A Graded A in 2026 ·
an exceptional prediction that grew more true over time

How this trend held up

This is the first of a host of data-related trends from 2015 to 2019 that focus on the good and bad of data. A clear "bad" driving the continued relevance of this trend: There is too much of it.

Every past trend prediction is re-reviewed and graded with a Trend Longevity Rating, measuring how much each originally curated trend still matters years later.

Where It Led

This trend evolved into a megatrend.

In 2020, Data Overflow was identified as one of the past trends that evolved into the megatrend Data Abundance: The growing ubiquity of data and the myriad ways it can be collected raise big questions about how to make it truly useful, who owns the data, and who should stand to profit from it.

Explore The Data Abundance Megatrend →

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