The Modern Data Software Landscape: Data Observability

Our latest report on the modern data software landscape deep-dives into data observability as the foundational enterprise layer underpinning data reliability, AI integrity, regulatory trust, and operational resilience.

Key themes include:

• The evolution of observability from reactive monitoring to an AI-driven intelligence layer
• How cloud, AI adoption, and regulatory pressure are reshaping the modern data stack
• Why observability is emerging as the control plane for enterprise AI and data governance

In a nutshell:

• Data observability now spans the full data lifecycle — from ingestion to AI consumption
• Enterprises are converging point solutions into integrated, cross-stack platforms
• Observability capabilities are becoming a core diligence lens for investors, operators, and acquirers evaluating data businesses

This report maps the data observability landscape, highlighting how observability connects with MDM, iPaaS, data quality, lineage, security, and analytics to enable AI-readiness. We also explore market consolidation trends and the growing strategic relevance of data observability for investors and acquirers. This is the second report in our series on the Sector Report – The Modern Data Software Landscape.

Download the full report

Should you have questions about the software sector landscape or wish to discuss your M&A strategy, our door is always open.