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Natural Language Generation (NLG) Market Size, Share & Industry Analysis, By Component (Software, Services) By Deployment (On premises, Cloud ), By Organization Size (Large Enterprises, Small and Medium Enterprises), By End User (Media and Entertainment, Healthcare, Energy and Utilities) And Regional Forecast, 2024-2032

Report Format: PDF | Published Date: Ongoing | Report ID: FBI105880 | Status : Upcoming

Natural language generation is revolutionizing digital content creation for automatic text generation, NLG applications converts structured data into natural language content for a user experience. Natural language generation (NLG) is part of artificial intelligence (AI) which automatically transform data into under stable language. It can be used by organizations to automate business, data driven processes with applications that includes sales automations and complex report writing. NLG is used to generate simple textual data by using combine analytics which helps end users to understand, analyze and identify the data. Growing adoption of natural language generation is rapidly being used in marketing analytics, sales analytics, and machine learning.


Key Players Covered:


Major market players in natural language generation are Arria Nlg, AWS, IBM Corporation, Vphrase, Linguastat, Textual Relation, Narrative Wave, 2Txt – Natural Language Generation Gmbh, Conversica, Newsrx, Phrasetech, Cogentex, Ax Semantics, Phrasee, Artificial Solutions, Retresco, Yseop, Narrativa, Narrative Science, Automated Insights and CoGen Tex Inc.


The players in the NLG market are adopting various business strategy such as partnerships, mergers &acquisitions, product development, and business expansions. NLG helps in auto collection of data and building reports, which forecast upcoming events. Predictive maintenance helps organizations in improving their decision making process which further helps organizations in data mining, clustering techniques and regression.


Regional Analysis:


Predictive maintenance is more likely to grow in developed region like North America that helps in growth of the natural language generation (NLG) market within the region. Further, there is rising adoption of smartphones in the region resulting in vast amount of data generation, that enhance the demand for advanced NLG analytical solutions and that would automatically help in the growth of natural language generation (NLG) market in the region.


In MEA adoption of advanced technology and rapid digitization in countries like UAE and Saudi Arabia has triggered the growth of natural language generation (NLG) market.



Segmentation






























  ATTRIBUTE


  DETAILS

By Component


 




  • Software

  • Services



By Deployment




  • On premises

  • Cloud



By Organization Size




  • Large Enterprises

  • Small and Medium Enterprises



By End User




  • Media and Entertainment

  • Healthcare

  • Energy and Utilities

  • Transportation

  • Architecture and engineering

  • Government and Defense

  • Others (Research, Hospitality and Travel, Retail and E-commerce, etc.)



By Region




  • North America (United States, Canada, and Mexico)

  • South America (Brazil, Argentina, and Rest of South America)

  • Europe (U.K., Germany, France, Italy, Spain, Russia, Benelux, Nordics, and Rest of Europe)

  • Middle East & Africa (Turkey, Israel, GCC, North Africa, South Africa, and Rest of the Middle East & Africa)

  • Asia Pacific (China, India, Japan, South Korea, ASEAN, Oceania, and Rest of Asia Pacific)



Key Industry Developments



  • In March 2020 – IBM Corporation headquartered at Armonk, New York, United States announced IBM watson technologies. That are designed to help organizations to analyse, understand and identify major challenges related to english language with more clarity.

  • In February 2020 – Yseop introduced its augmented analyst, that offer intelligent reporting automation to large financial firms to fast track complex report automation.

  • In December 2019 – AXSemantics introduced an AI based solution for ecommerce, an AI powered natural language generation helps retailers to create vast number of products descriptions in different languages.

  • In February 2021 – AI software makers announced new version of natural language processing (NLP) library SpaCy 3.0. The features offered by spaCy are transformed based pipeline and pre trained models for 17 languages.

  • Global
  • 2023
  • 2019-2022
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