AI Observability in 2026: Why the data layer means everything

In 2025, the AI observability landscape saw a significant shift with the introduction of AI assistants, valued at approximately $2.4 billion in 2024, which are designed to perform simple, well-defined tasks and improve user productivity. However, as the industry transitions towards more autonomous, agent-based systems, exemplified by Coralogix's Olly platform, there is an emerging challenge related to the data layer's capability to support these advanced tools. Unlike assistants, agents require robust and expressive data architectures to operate effectively, necessitating advancements in data management, storage, and query languages. Coralogix has anticipated this shift by developing its DataPrime query engine, which supports complex data interactions and transformations, positioning it ahead of competitors struggling to adapt to these new demands. The focus on data management is critical as agents need not only abundant data but also structured and enriched datasets to deliver accurate and meaningful insights, highlighting the importance of a strong data foundation for future observability solutions.