Global AI in Asset Management Market Size, Trends, Competitive, and Historical

AI in asset management” refers to the set of machine-learning (ML) and artificial-intelligence (AI) technologies that are applied across the investment value chain from data ingestion and alternative data processing, to model-driven alpha signals, portfolio construction, risk analytics, trade execution, client reporting, and back-office automation. The market covers software platforms, model libraries, managed AI services, data-and-compute infrastructure, agentic/LLM-driven workflow tools, and consulting/integration services for institutional asset managers, wealth managers, ETFs and custodians.