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Natural Language Processing Market is expected to Reach US$ 42,591 Mn by 2027, owing to the Increasing Adoption of Natural Language Processing across the Financial Sector for Workflow Optimization; says Absolute Markets Insights

Published On 25 Nov 2020 01:06 PM


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Natural Language Processing (NLP) is a branch of artificial intelligence and linguistics, dedicated to making computers understand statements or words written in human languages. Natural language processing has come into existence to ease the work of the user and to fulfill the need to communicate with the machine in natural language. The purpose of natural language processing is to satisfy one or more unique features of an algorithm or device. NLP evaluation metric on an algorithmic framework enables the incorporation of language comprehension and language generation. Much of the work in natural language processing is carried out by computer scientists, although a variety of other experts have also shown interest, such as linguistics, psychologists, and philosophers. One of the most humorous features of the NLP is that it adds to the understanding of human language. NLP is linked to several theories and techniques that discuss the question of natural language communication with computers. Thus such factors are aiding for the growth of natural language processing market.

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NLP in financial services is expanding beyond its use in banking, insurance and hedge funds. The main component is chatbots, voice assistants and text analytics. Transactional bots are created using NLP technology to process data in the form of human language. NLP technology is seen as the next disruptor in the financial sector. For instance, instead of logging into individual balance-check accounts, users can simply check their account information via chatbots and even voice assistants. These bots serve as a digital financial advisor to help users deal with savings, retirement and other financial plans. Products of this type help to engage and provide users with an improved user experience. Likewise, the day-to-day implementation of NLP technology across financial institutions is also expanding. For example, determining individual creditworthiness and recognizing the risk profile is a key challenge that banks and insurance firms are facing on a daily basis. With the emergence of FinTech AI banking, advanced natural language processing technologies have made a major contribution to analyzing borrower data and promoting risk assessment and creditworthiness of individuals. For instance, LenddoEFL, a Singapore-based company, offers a program called LenddoScore that uses advanced NLP and machine learning algorithms to determine the worth of borrowers. The platform integrates digital footprints of prospective borrowers through social media, browsing history, geo-location, and other personal device information. The data is then translated into a credit score using machine learning algorithms that institutions may use to determine the individual's creditworthiness. These applications are aiding in the growth of natural language processing market.

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The role and involvement of NLP in various sectors have increased by leaps and bounds, taking into account the broad variety of services it supports. From the generation of real-time insights to the analysis of data using grammatical parsing and paragraph-level contextual analysis, there are various applications of NLP technology throughout the industry verticals. NLP solutions can further extract and analyze data with quantitative insights into profitability, patterns, and can provide insights into how companies can compete in a relative market, which in turn is driving the demand of natural language processing market.

The detailed research study provides qualitative and quantitative analysis of the global natural language processing market. The natural language processing market has been analyzed from demand as well as supply side. The demand side analysis covers market revenue across regions and further across all the major countries. The supply side analysis covers the major market players and their regional and global presence and strategies. The geographical analysis done emphasizes on each of the major countries across North America, Europe, Asia Pacific, Middle East & Africa and Latin America.

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Global Natural Language Processing Market

  • By Type
    • Rule Based
    • Statistical
    • Hybrid
  • By Deployment Model
    • On-Premise
    • Cloud
  • By Technology
    • Interactive Voice Response (IVR) 
    • Optical Character Recognition (OCR) 
    • Pattern and Image Recognition 
    • Autocoding 
    • Classification and Categorization 
    • Text Analytics 
    • Speech Analytics
  • By Service
    • Managed Service
    • Professional Service
  • By Application
    • Information Extraction
    • Machine Translation
    • Report Generation
    • Others
  • By End User
    • Banking, Financial Services and Insurance (BFSI)
    • IT and Telecommunication
    • Government
    • Retail & Consumer Goods
    • Healthcare
    • Education
    • Automotive
    • Media and Entertainment
    • Energy and Utilities
    • Others
  • By Region
    • North America
      • U.S.
      • Canada
      • Mexico
    • Europe
      • France
      • The UK
      • Spain
      • Germany
      • Italy
      • Nordic Countries
        • Denmark
        • Finland
        • Iceland
        • Sweden
        • Norway
      • Benelux Union
        • Belgium
        • The Netherlands
        • Luxembourg
      • Rest of Europe
    • Asia Pacific
      • China
      • Japan
      • India
      • New Zealand
      • Australia
      • South Korea
      • Southeast Asia
        • Indonesia
        • Thailand
        • Malaysia
        • Singapore
        • Rest of Southeast Asia
      • Rest of Asia Pacific
    • Middle East and Africa
      • Saudi Arabia
      • UAE
      • Egypt
      • Kuwait
      • South Africa
      • Rest of Middle East & Africa
    • Latin America
      • Brazil
      • Argentina
      • Rest of Latin America

 

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Press Release Provided By: Absolute Markets Insights