The Causal AI Market, valued at USD 26 million in 2024, is set to expand at a CAGR of 40.9% to reach approximately USD 293 million by 2029. This rapidly growing sector within artificial intelligence (AI) specializes in understanding cause-and-effect relationships in data. Unlike traditional AI models that focus on predicting outcomes based on correlations, causal AI aims to reveal the underlying mechanisms driving these correlations, leading to more precise and interpretable predictions. This technology is applicable across various industries, such as healthcare, finance, marketing, and supply chain management, where identifying causal relationships enhances decision-making and improves business results.
