Market size of NLP globally from 2020-2030

Published by Statista Research Department, Dec 12, 2024
The global market size in the 'Natural Language Processing' segment of the artificial intelligence market was forecast to continuously increase between 2024 and 2030 by in total 120.3 billion U.S. dollars (+330.31 percent). After the eighth consecutive increasing year, the market size is estimated to reach 156.76 billion U.S. dollars and therefore a new peak in 2030.

Find more key insights for the market size in countries and regions like the market size in the 'Machine Learning' segment of the artificial intelligence market in Europe and the market size in the artificial intelligence market in the United States.

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Size of the natural language processing (NLP) market worldwide from 2020 to 2030 (in billion U.S. dollars)

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Supplementary notes

Data provided by Statista Market Insights are estimates.

Definition:
Natural language processing (NLP) is a branch of artificial intelligence that focuses on the interaction between human language and computers. Natural language processing tools analyze, understand, and generate written, oral, and visual formats of human language. The Natural Language Processing (NLP) market has relevance for the healthcare, finance, and e-commerce industries in the areas of sentiment analysis, chatbots, and language translation.

Structure:

The Natural Language Processing (NLP) market has three markets. The Text-Based NLP market covers applications that analyze written forms of language. The Speech-Based NLP market covers applications that interpret and understand spoken language. The Language Translation NLP market covers applications that convey the content and meaning of a text from one language into another language.

Additional Information:

The market comprises two key performance indicators: market sizes, and market sizes by industry. Market sizes are generated by the funding amount of Computer Vision companies. Key players of the market include companies such as Amazon Web Services (AWS), Microsoft Azure Cognitive Services, and Google.

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