PUBLISHER: QYResearch | PRODUCT CODE: 1876015
PUBLISHER: QYResearch | PRODUCT CODE: 1876015
The global market for Natural Language Processing (NLP) in Healthcare was estimated to be worth US$ 1225 million in 2024 and is forecast to a readjusted size of US$ 3024 million by 2031 with a CAGR of 13.6% during the forecast period 2025-2031.
Natural language processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language (spoken or written data), not in the artificial languages such as Java and C++.
The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a manner that is valuable. Most NLP techniques rely on machine learning to derive meaning from human languages.
For healthcare use, NLP is used to improve patient engagement and bring in efficiency in decision-making capabilities, it can also convert complex clinical narratives into actionable data points and insights.
Natural Language Processing (NLP) is first developed in the 1950s, it has blossomed over the past 25 years with the availability of cheap, plentiful, and powerful computers working in parallel fashion.
Healthcare industry is a unique industry that need put more effort on the application of NLP, it is because in practice, off-the-shelf NLP libraries and algorithms built for English will fail miserably on this "different language" in the health care industry.
For example, SoB in healthcare means short of breath. If you don't know that, it is hard to understand one patient's the report or document then difficult to make decision.
At the same time, there are research show that about 80% of medical data is showed in unstructured format, which need to get structured data conversion, so NLP in healthcare is an a very promising but very challenging industry that requires specialized medical language and text services.
This report aims to provide a comprehensive presentation of the global market for Natural Language Processing (NLP) in Healthcare, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Natural Language Processing (NLP) in Healthcare by region & country, by Type, and by Application.
The Natural Language Processing (NLP) in Healthcare market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Natural Language Processing (NLP) in Healthcare.
Market Segmentation
By Company
Segment by Type
Segment by Application
By Region
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Natural Language Processing (NLP) in Healthcare company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Natural Language Processing (NLP) in Healthcare in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Natural Language Processing (NLP) in Healthcare in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.