Causal AI Market Challenges: Overcoming Barriers to Adoption and Implementation
The global causal AI market was valued at approximately USD 40.55 billion in 2024 and is forecasted to reach USD 757.74 billion by 2033, reflecting a compound annual growth rate (CAGR) of 39.4% from 2025 to 2033. The surge in the causal AI market is driven by the growing demand for more explainable, reliable, and decision-oriented artificial intelligence systems among organizations. In contrast to traditional AI models that primarily focus on correlations, Causal AI emphasizes identifying cause-and-effect relationships. This approach enables organizations to gain deeper insights, make informed decisions, and implement effective policy interventions. This shift is particularly significant across various sectors, including healthcare, finance, supply chain, and public policy, where comprehending the effects of specific actions is essential. In healthcare, Causal AI enhances precision medicine by assessing the real impact of treatments on patient outcomes. Simil...