Agentic analytics is emerging as a key trend in the data industry by leveraging AI agents to transform the way analytics tasks are accomplished, promising enhanced depth, breadth, and speed of insights. Unlike traditional data tools that focus on single-layer dashboards, agentic AI operates iteratively, enabling more profound analysis and causal understanding by reflecting on previous steps and planning subsequent ones. This shift democratizes access to analytics, allowing more individuals within organizations to obtain insights quickly and easily, thus fulfilling the long-held dream of self-service analytics. Although deeper analyses can take time, the overall process is faster due to reduced back-and-forth and the ability of agentic systems to function asynchronously, notifying users upon task completion. As AI begins to reshape the data landscape in 2025, teams are encouraged to embrace these changes with an open mind to fully harness the potential of agentic systems.