The nlp in finance market has seen considerable growth due to a variety of factors.
• In recent times, there has been a rapid expansion in the market size of NLP in finance. The sector, valued at $6.65 billion in 2024, is set to experience a rise to $8.34 billion in 2025, representing a compound annual growth rate (CAGR) of 25.5%.
The unprecedented growth during the historic era is largely due to the surging evolution of content creation in AI and deep learning, the hastened implementation of large language models (LLMs), improved customer experiences, and the integration of sentiment analysis in the finance sector.
The nlp in finance market is expected to maintain its strong growth trajectory in upcoming years.
• Forecasts predict that the nlp in finance market size will experience a significant surge in the coming years, potentially reaching a value of $20.06 billion in 2029, with an impressive compound annual growth rate (CAGR) of 24.5%.
Factors contributing to this forecasted growth within the period are chiefly the increasing use of AI, mounting demand for automated and efficient financial services, the development of AI and ML models, enhanced data extraction and analysis, and augmented fraud detection and security. The forecast period is also likely to see trends such as innovation in cloud storage, consistent product advancements, technological progression, and an increase in collaborations.
Expectations are high for the growth of NLP in the finance market due to the rising adoption of AI. Essentially, AI is about creating machines that imitate human intelligence, teaching them to think and learn as humans do. Financial institutions can benefit from AI-based natural language processing by gleaning crucial insights from large volumes of textual data, such as news articles, financial reports, and social media content. This in turn aids in comprehensive analyses and insightful decision making for finance professionals. For example, as per the National Bureau of Economic Research, a nonprofit research organization based in the US, AI adoption is skyrocketing, with usage rising from 3.7% of companies in Fall 2023 to 5.4% by February 2024, and it is predicted to hit 6.6% by Fall 2024. Consequently, the escalating adoption of AI is propelling the growth of NLP in the finance market.
The nlp in finance market covered in this report is segmented –
1) By Offering: Services, Software
2) By Technology: Machine Learning, Deep Learning, Natural Language Generation, Text Classification, Topic Modeling, Emotion Detection, Other Technologies
3) By Vertical: Banking, Insurance, Financial Services, Other Enterprise Verticals
Subsegments:
1) By Services: Consulting Services, Implementation Services, Managed Services, Support And Maintenance Services
2) By Software: Text Analytics Tools, Sentiment Analysis Tools, Chatbots And Virtual Assistants, Risk And Compliance Management Software, Automated Reporting Solutions
Innovative technologies are being developed by leading companies operating in the NLP in finance market. These include the implementation of artificial intelligence (AI) technologies to enhance customer service through advanced features. AI technology uses computer systems that can perform tasks typically requiring human intelligence. To illustrate, HSBC, a UK-based banking and financial services company, unveiled the AI market in May 2023. This digital service utilises specially designed Natural Language Processing (NLP) to boost institutional investors' interaction with international markets. The AI Markets possess the potential to radically alter the way investors understand the complexities of financial markets. Through straightforward command inputs, the exclusive NLP engine enables users to develop personalised financial market analytics, access HSBC's real-time and historical cross-asset data sets, and investigate the latest market insights.
Major companies operating in the nlp in finance market report are:
• Google LLC
• Microsoft Corporation
• Amazon Web Services Inc.
• IBM Corporation
• Oracle Corporation
• Mosaic
• Baidu
• SAS Institute
• Qualtrics
• LivePerson
• NuanceCommunications
• Veritone
• Basis Technology
• Uniphore
• Expert.ai
• Bitext
• ABBYY
• Automated Insights
• Conversica
• Skit.ai
• Kensho
• Kasisto
• Inbenta
• Observe.Al
• Addepto
• Accern
North America was the largest region in the nlp in finance market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the nlp in finance market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.