Enterprises are investing heavily in data — but most aren’t seeing the return. Despite $29.3 million in annual data spend, a meaningful portion is lost to pipeline failures, downtime, and maintenance-heavy systems that slow analytics and AI. Based on a global survey of 500+ C-suite data and technology leaders, this report reveals where data investments break down and what separates high-performing, AI-ready organizations from the rest.

‍Key insights

• 97% of enterprises report disruptions to AI or analytics due to pipeline issues
• 53% of engineering time is spent on pipeline maintenance
• Automated data integration drives nearly 2x higher ROI than legacy and DIY approaches