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Changes in Consumer Behaviour During COVID-19 Outbreak May Affect Growth of Natural Language Processing Market

The major reasons behind the growth of the natural language processing market are the rising focus on an enhanced consumer experience, rapid business process automation, creation of high volumes of data, and rise in the number of contact centers. From $8.3 billion in 2018, the revenue generated from the sale of such solutions is predicted to increase to $22.9 billion by 2024, at a CAGR of 19.7% during 2019–2024 (forecast period).

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A subfield of artificial intelligence, NLP helps machines and computers understand the language of humans. Based on type, the natural language processing market is categorized into hybrid, rule-based, and statistical. Among these, the statistical category held the largest share in 2018, as this technology utilizes machine learning algorithms to analyze data, rather than requiring human effort.

Customers communicate with organizations via chat messages, e-mails, social media platforms, and phone calls, thereby making it difficult to process all the data. NLP helps here by studying the feedback, while saving time and reducing human involvement and errors. With the technology, companies are able to analyze consumers’ preference for the different services and products on offer as well as understand how their decisions are impacted by the cultural and technological scenario.

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The research offers market size of the global natural language processing (NLP) market for the period 2014–2024.

By Type

  • Statistical
  • Rule-Based
  • Hybrid

By Deployment

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

By Component

  • Solutions
    • Auto coding
    • Text analytics
    • Speech analytics
    • Interactive voice response (IVR)
    • Pattern & image recognition
    • Optical character recognition
  • Services
    • Managed
    • Professional

By Application

  • Information Extraction
  • Question Answering
  • Machine Translation
  • Report Generation
  • Text Processing

By Industry

  • Banking, Financial Services, and Insurance (BFSI)
  • Automotive
  • Healthcare
  • Retail
  • IT & Telecommunication