NLP in Finance Market is predicted to reach USD 39.3 Billion at a CAGR of 28.20% by 2032

Market Research Future (MRFR) has published a cooked research report on the “Global NLP in Finance Market” that contains information from 2018 to 2032. The NLP in Finance market is estimated to register a CAGR of 28.20% during the forecast period of 2023 to 2032.

MRFR recognizes the following companies as the key players in the global NLP in finance market— Microsoft, Google, AWS, Oracle, SAS lnstitute, Qualtrics, Baidu, Inbenta, Basis Technology, NuanceCommunications, Expert.ai, LivePerson, Veritone, Automated lnsights, Bitext, Conversica,Accern, Kasisto, Kensho, ABBYY, Mosaic, Uniphore, Observe.Al, Lilt, and Cognigy

Market Highlights

The global NLP in finance market is accounted to register a CAGR of 28.20% during the forecast period and is estimated to reach USD 39.3 Billion by 2032.

As natural language processing technologies are used to analyse and extract insights from massive volumes of financial data, the market for NLP in finance is expanding. Sentiment analysis, fraud detection, regulatory compliance, and automated financial reporting are examples of NLP uses in finance. The market is being pushed by the need for real-time analytics, the complexity of financial data, and the rising demand for individualized financial services.

Segment Analysis

The global NLP in finance market has been segmented based offering, technology, application and vertical.

On the basis of offering, the market is segmented into includes managed software, rule-based NLP software, regular expression (regex), finite state expression (FSMs), named entity recognition (NER), part-of-speech (POS) tagging, statistical NLP software, naibe bayes, logistic regression, support vector machines (SVMs), recurrent neural networks (RNNs), hybrid NLP software, latent dirichlet allocation (LDA), hidden markov models (HMMs), conditional random fields (CRFs), services, professional services, training and consulting, system integration and implementation, support and maintenance and managed services. In 2022, the software segment led the global market. The industry is expected to continue growing significantly due to the increased need for NLP technologies in the banking sector.

Based on technology, the global NLP in finance market has been segmented into machine learning, deep learning, natural language generation, text classification, topic modeling, emotion detection, and other technologies (named entity recognition, event extraction). In 2022, the deep learning category dominated the whole market. Deep learning has substantially boosted NLP technologies in the finance sector.

Based on application, the global NLP in finance market has been segmented into sentiment analysis, risk management and fraud detection, compliance monitoring, investment analysis, financial news and market analysis, customer service and support, document and contract analysis, speech recognition and transcription, language translation, and other applications (CRM optimization, underwriting assistance). In 2022, the global market was dominated by the investment analysis sector. Machine learning-based NLP tools are driving the industry because they can analyse massive volumes of data and provide more granular and customised insights for investment analysis.

Based on vertical, the global NLP in finance market is segmented into banking financial services insurance, retail and e-commerce, manufacturing, healthcare and life sciences, energy and utilities, and transportation and logistics. Banking financial services insurance segment dominated the global NLP in Finance market in 2022. This is due to the fact that an increasing number of businesses are connecting digital revolutions with AI and its supporting infrastructure.

Regional Analysis

The global NLP in finance market, based on region, has been divided into the North America, Europe, Asia-Pacific, and Rest of the World. North America consists of US and Canada. The Europe NLP in Finance market comprises of Germany, France, the UK, Italy, Spain, and the rest of Europe. The NLP in Finance market in Asia-Pacific has been segmented into China, India, Japan, Australia, South Korea, and the rest of Asia-Pacific. The Rest of the World NLP in Finance market comprises of Middle East, Africa, and Latin America.

The largest market share for NLP in finance was maintained by the North American regional sector. One of the main factors influencing this is the enormous, well-established customer and provider databases in the US and Canada regions. The former is home to some of the most well-known businesses working on the global market's multiregional scale, continuously improving connected systems, and developing the technology itself

Moreover, in 2022, Europe held a sizable portion of the NLP in Finance market. It is anticipated that utilization of machine learning and AI technologies would increase across all industrial sectors, especially the local marketing and advertising sector.

Additionally, Asia Pacific is anticipated to experience the quickest growth over the forecast period. The number of small and medium-sized enterprises using NLP, such as those creating chatbots and autocorrect software, is rising, which is fueling regional growth.

Furthermore, the rest of the world's NLP in Finance market is divided into the Middle East, Africa, and Latin America. Applications of NLP including automated reporting, fraud detection, and sentiment analysis are becoming more popular in the area. LATAM banks and financial service providers are investing in NLP solutions with a focus on improving customer experience and operational efficiency. NLP service providers have the chance to work with financial institutions in LATAM to create cutting-edge solutions.

Key Findings of the Study

• The global NLP in finance market is expected to reach USD 39.3 Billion by 2032, at a CAGR of 28.20% during the forecast period.


• The Asia-Pacific region accounted for the fastest-growing global market. The growth in the region is being fueled by an increase in the number of small and mid-size companies using NLP's advantages, such as chatbot and autocorrect software developers.


• Based on offering, the software segment was attributed to holding the largest market.


• AWS, Oracle, SAS lnstitute, Qualtrics, Baidu, Inbenta, Basis Technology, NuanceCommunications, Expert.ai, LivePerson, Veritone, Automated lnsights, Bitext, Conversica,Accern, Kasisto, Kensho, ABBYY, Mosaic, Uniphore, Observe.Al, Lilt, and Cognigy