From Business Intelligence to Decision Intelligence through AI-Driven Data Architecture: A Comprehensive Review

The transition from traditional business intelligence to decision intelligence represents one of the radical changes in how organizations have sought to use data as a differentiator in the marketplace.This article discusses how AI and complex data architectures are changing business decision-making processes through 2025 with summaries of recent research and industry advancements that have taken place since 2019.The global decision intelligence market is set to grow at a Compound Annual Growth Rate of 16.9 percent from USD 16.79 billion in 2024 to USD 57.75 billion by 2032 [1].Based on this, the paper explains the theoretical underpinning, real-world applications, and developing paradigms constituting the transition from business intelligence into decision intelligence through in-depth analysis of current research, market data, and technical frameworks.Analytics-driven decision-making increases client acquisition rates by at least 50 percent [2], while companies adopting AI-driven data infrastructures report a boost in operational productivity by 63 percent [3].Given that, the aim of this paper is to offer a holistic review of the insights on data governance frameworks, native cloud architectures, machine learning integration, and the rising role of agentic artificial intelligence in autonomous decision systems.