The NLP in Finance Market is valued at USD 5.5 billion in 2024 and is projected to grow at a CAGR of 27.6%, reaching an estimated USD 18.8 billion by 2029. This market focuses on applying Natural Language Processing (NLP) techniques to analyze and interpret textual data within the financial sector. NLP helps financial institutions derive actionable insights from diverse data sources like news articles, social media, earnings reports, and regulatory filings. It supports key functions such as investment decision-making, market sentiment analysis, fraud detection, and the automation of customer service and compliance processes. With methods like sentiment analysis, named entity recognition, and topic modeling, NLP provides a competitive edge in the fast-evolving financial landscape by transforming unstructured data into valuable intelligence.