Data pipeline failures cost large enterprises an estimated $3 million per month

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A 2026 benchmark report by Fivetran finds that data pipeline failures expose large companies to roughly $3 million in monthly losses. The report, based on a Q4 2025 survey of 500 senior leaders at firms with over 5,000 employees, cites an average of 4.7 pipeline breaks monthly, causing over 60 hours of downtime. It notes that 53% of data engineering capacity is spent on maintenance rather than new projects. The report coincides with industry data showing AI is a growing factor in tech layoffs, creating tension as the work preventing costly outages is being squeezed.

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