Natural Language Processing Market to Grow at 16.11% CAGR to 2019

One of the major drivers in the natural language processing market is the increase in the use of NLP in the healthcare industry. The healthcare industry is vast and has to deal with a lot of confidential data, so it needs to invest heavily in IT infrastructure.


Pune, Maharastra -- (SBWIRE) -- 01/19/2016 -- The global natural language processing market analyst says text analytics is used in healthcare to provide adequate treatment to the public. The analysts forecast global NLP market to grow at a CAGR of 16.11% over the period 2014-2019.Healthcare organizations use text analytics to diagnose diseases accurately and to improve overall healthcare services. In addition, this software is used in clinical research to search for chemical compounds in clinical documents and reports, which helps to establish relationships among genetic markers and diseases. This process helps healthcare experts to isolate the right biological compounds that act as disease-causing agents

Complete report on natural language processing market spread across 68 pages, profiling 4 companies and supported with 26 data exhibits is now available at

Natural language processing is a computer application that can understand human language. It is a part of AI. It is a computerized technique in which human communication is analyzed and interpreted based on a set of theories and technologies by the computer. It is both based on text and speech provided to the computer. Currently, NLP approaches are based on machine learning that uses patterns for understanding own programs. The most common NLP in all the software packages includes:

Sentence segmentation, part-of-speech tagging, and parsing - Deep analytics, Named entity extraction and Co-reference resolution

The goal of NLP is to reduce the time for understanding computer languages such as Java, C, C++, and Ruby.

Order a Single User License Copy of Global Natural Language Processing Market 2016-2020 Report at

The development of NLP solutions is difficult because computers need humans to speak in a programming language that needs to be precise, unambiguous, and highly structured with less amount of enunciated voice commands. However, human speech cannot be precise, and it is often ambiguous and depend on variables that include slang, regional dialects, and social context.

Covered in this report

The natural language processing market report covers the present scenario and growth prospects of the global NLP market for 2015-2019. To calculate the market size, the report considers revenue generated from the sales of NLP solutions in the global market from the following segments:

Recognition market: This includes the revenue generated from speech recognition, OCR , and IVR systems market

Analytics market: This includes the revenue generated from text and speech analytics

Operational market: This includes the revenue generated from categorization and auto-coding process

Key players in the global natural language processing market are: 3M, Apple, Google and Microsoft

Other prominent vendors in the market are: A3logics, AlchemyAPI, Apixio, Aylien, Dolbey Systems, Fluxifi, HP, IBM, Linguamatics, Mmodal, Netbase, Nuance Communication, SAS Institute, Textalytics and Verint Systems

Further, the natural language processing market market report states that one of the main challenges with NLP is its inability to avoid external noise. Recognition applications are highly sound-sensitive, so any ambient noise reduces its accuracy levels. Although the voice and speech recognition industry has witnessed several advances in technology, high sensitivity to sound remains a barrier to the adoption of recognition applications.

About is an online market research reports library of 500,000+ in-depth studies of over 5000 micro markets. Call +1 888 391 5441 with your research requirements or email the details at and we would be happy to help you find the business intelligence that you need. offers research studies on agriculture, energy and power, automotive, Semiconductor and Electronics, Manufacturing & Construction, chemicals, environment, medical devices, healthcare, food and beverages, water and much more.