Natural Language Generation Market Size, Share, Trends, Business development, Analysis And Opportunities 2027

The process of converting data into natural language is known as natural language generation (NLG).

                               Natural Language Generation Market




The process of converting data into natural language is known as natural language generation (NLG). This is accomplished by the application of statistical algorithms that evaluate enormous datasets and construct natural-sounding phrases from them. Journalism, marketing, financial reporting, and customer service are just a few of the industries where NLG might be employed. The goal of NLG systems is to create text from structured knowledge or information like databases and ontologies. They can use pre-defined templates to transform numbers into the tales. They can forecast, which words should be created next (in an email you're writing, for example). Alternatively, the most advanced algorithms may generate whole summaries, articles, or answers.


Big data refers to a method for efficiently analyzing, and extracting important insights from large amounts of unstructured data. Big data processing software is significantly more efficient than traditional data processing software. NLG is a cutting-edge technology that can help improve data visualization. The interpretation of data visualization technologies like SAP, Tableau, and Qlik has gotten substantially easier thanks to NLG. NLG can also give a comprehensive and coherent analysis of a large and complicated dataset. Indeed, it minimizes human cognitive work, allowing end users to make decisions based on useful information. As a result, throughout the projected period, these factors are likely to boost the worldwide natural language generation market forward.

Market Segmentation:

By Component
  • Software
  • Services

By Application
  • Fraud Detection and Anti-Money Laundering
  • Predictive Maintenance
  • Risk & Compliance Management
  • Performance Management
  • Customer Experience Management
  • Others

By Organization Size
  • Small and Medium-sized Enterprises (SMEs)
  • Large enterprises

Over the next several years, the use of natural language creation in predictive maintenance applications is likely to skyrocket. Data analysis teams may utilise NLG technologies to incorporate their knowledge immediately into a dashboard that can be used to swiftly provide vital insights to more individuals within a company. Over the forecast period, the segment is expected to be driven by greater awareness of these benefits in the realm of predictive maintenance applications.


The major key players operating in the global natural language generation market are Retresco, Narrative Science, AX Semantics, IBM Corporation, Artificial Solutions, Yseop, Narrative Science, CoGenTex, Inc., ARRIA NLG plc, Automated Insights, Inc., and Phrasetech.

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