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NLP in Finance Global Market Report 2025
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Natural Language Processing (NLP) in Finance refers to the utilization of language understanding and processing techniques within the financial domain. This involves leveraging computational algorithms to analyze, interpret, and extract insights from textual data in the financial sector. NLP in finance enables the automation of tasks such as information extraction, sentiment analysis, and language translation, contributing to more efficient and informed decision-making processes within the financial industry.

The primary offerings in the realm of NLP in finance consist of services and software. Services can be defined as acts or utilities for which consumers, firms, or governments are willing to pay. Various technologies are employed in NLP applications, including machine learning, deep learning, natural language generation, text classification, topic modeling, emotion detection, and other related technologies. These technologies find applications across various verticals, including banking, insurance, financial services, and other enterprise sectors. The integration of NLP technologies in finance facilitates advanced analysis and decision-making processes by extracting valuable insights from textual data.

The NLP in finance market research report is one of a series of new reports from The Business Research Company that provides NLP in finance market statistics, including the NLP in finance industry global market size, regional shares, competitors with an NLP in finance market share, detailed NLP in finance market segments, market trends and opportunities, and any further data you may need to thrive in the NLP in finance industry. This NLP in finance market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The nlp in finance market size has grown exponentially in recent years. It will grow from $6.65 billion in 2024 to $8.34 billion in 2025 at a compound annual growth rate (CAGR) of 25.5%. The growth in the historic period can be attributed to rise in content creation evolution in ai and deep learning, acceleration in the deployment of large language models (llms), enhanced customer experiences, application of sentiment analysis in the finance industry.

The nlp in finance market size is expected to see exponential growth in the next few years. It will grow to $20.06 billion in 2029 at a compound annual growth rate (CAGR) of 24.5%. The growth in the forecast period can be attributed to increasing adoption of ai, increasing demand for automated and efficient financial services, emergence of ai and ml models, increasing data extraction and analysis, increasing fraud detection and security. Major trends in the forecast period include innovation of cloud storage, continuous product innovations, technological advancement, rising collaborations.

The growing adoption of AI is expected to drive the expansion of the NLP in the finance market in the future. Artificial Intelligence (AI) involves replicating human cognitive functions in machines, enabling them to think and learn like humans. AI-powered natural language processing helps financial institutions extract valuable insights from large volumes of textual data, such as news articles, financial reports, and social media content, which supports efficient analysis and informed decision-making by finance professionals. For example, in April 2024, the National Bureau of Economic Research, a US-based nonprofit research organization, reported that AI adoption is accelerating, with the percentage of firms using AI increasing from 3.7% in Fall 2023 to 5.4% by February 2024, and projected to reach 6.6% by Fall 2024. As a result, the rising adoption of AI is fueling the growth of NLP in the finance market.

Leading companies in the NLP in the finance market are actively developing innovative technologies, including leveraging AI technologies to enhance customer service with advanced features. AI technology, designed to enable computer systems to perform tasks that typically require human intelligence, is being harnessed to transform the financial services landscape. In May 2023, HSBC, a UK-based banking and financial services company, launched AI Markets, a digital service utilizing purpose-built NLP to enhance institutional investors' engagement with international markets. The proprietary NLP engine within AI Markets enables users to create personalized financial market analytics, access up-to-the-minute and historical cross-asset data sets from HSBC, and explore the latest market insights through simple commands.

In March 2023, Microsoft Corporation, a US-based technology corporation, acquired Nuance Communications Inc. for $19.7 billion. This acquisition presents opportunities to integrate Nuance's advanced NLP and speech recognition capabilities into various financial services, potentially enhancing customer experiences, security measures, data analysis, and overall innovation within the finance market. Nuance Communications Inc. is a US-based computer software technology corporation specializing in AI applications in the field of financial services.

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.

The countries covered in the NLP in finance market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The NLP in finance market includes revenues earned by entities by dataset analyzing, recognizing trends, customer interaction analyzing. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The NLP in finance market consists of sales of central processing units (CPUs), graphics processing units (GPUs), and application-specific integrated circuits (ASICs). Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

NLP in Finance Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on nlp in finance market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for nlp in finance ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The nlp in finance market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. NLP in Finance Market Characteristics

3. NLP in Finance Market Trends And Strategies

4. NLP in Finance Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global NLP in Finance Growth Analysis And Strategic Analysis Framework

6. NLP in Finance Market Segmentation

7. NLP in Finance Market Regional And Country Analysis

8. Asia-Pacific NLP in Finance Market

9. China NLP in Finance Market

10. India NLP in Finance Market

11. Japan NLP in Finance Market

12. Australia NLP in Finance Market

13. Indonesia NLP in Finance Market

14. South Korea NLP in Finance Market

15. Western Europe NLP in Finance Market

16. UK NLP in Finance Market

17. Germany NLP in Finance Market

18. France NLP in Finance Market

19. Italy NLP in Finance Market

20. Spain NLP in Finance Market

21. Eastern Europe NLP in Finance Market

22. Russia NLP in Finance Market

23. North America NLP in Finance Market

24. USA NLP in Finance Market

25. Canada NLP in Finance Market

26. South America NLP in Finance Market

27. Brazil NLP in Finance Market

28. Middle East NLP in Finance Market

29. Africa NLP in Finance Market

30. NLP in Finance Market Competitive Landscape And Company Profiles

31. NLP in Finance Market Other Major And Innovative Companies

32. Global NLP in Finance Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The NLP in Finance Market

34. Recent Developments In The NLP in Finance Market

35. NLP in Finance Market High Potential Countries, Segments and Strategies

36. Appendix

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