Cloud NLP Market Attract Huge Investments With Deeply Analysis on Google, Microsoft, IBM, HP, AWS, Baidu, Dolbey Systems, Facebook

Exponential growth of the digital data is one of the major factors that is driving the growth of the cloud natural language processing market. Data/information has emerged as one of the most important assets of the organizations. Companies are collecting, analyzing, and reporting vast volume of data for extracting meaningful insights to get competitive edge. Global cloud Natural Language Processing (NLP) market is set to exceed USD 6 billion by 2024, according to this new research report.

Growing adoption of the big data technologies such as Hadoop and IoT among organizations along with popularity of cloud deployment is one of the major factors that are fueling the growth of the digital data. Digital data is estimated to grow at a rate of 40% for next 10 years and by the year 2020 data generation is expected to reach 44 zettabytes per year. As the data increases, it leads to the requirement of an effective analytics solution to process the information, therefore, driving the cloud NLP market growth.

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Cloud NLP market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue in USD from 2013 to 2024, for the following segments:

Cloud NLP Market, By Product

Rule Based, Statistical, Hybrid, Others

Cloud NLP Market, By Deployment Model

Public Cloud, Private Cloud, Hybrid Cloud

Cloud NLP Market, By Technology

Recognition, Analytics, Operational

Cloud NLP Market, By Application

Information Extraction

Machine Translation

Processing & Visualization

Question Answering

Cloud NLP Market, By End-use

Consumer Electronics, Government & Legal, Healthcare and Lifescience, IT & Telecommunication, Media and Advertisement, Research and Education, Retail

Some of the vendors offering NLP solutions are Google, Microsoft, IBM, HP, AWS, Baidu, Dolbey Systems, Facebook, Netbase Solutions, Fuji Xerox, Lexalytics, SAS, and Verint Systems. Vendors are trying to capture the market with customized product portfolio, that will help them in gaining more market share. Also, they are collaborating with cloud providers to offer products and services especially, to SMEs. The market is quite attractive as majority of the players are ready to invest in technologies such as AI, deep learning, and machine learning.

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Healthcare applications are estimated to exhibit higher growth rate than other industry verticals. Healthcare organizations are widely adopting NLP solutions for analyzing clinical transcriptions, managing medical notes, and documentation purposes. Furthermore, these solutions also assist in reducing medication errors and adverse drug events by managing Health Information Management (HIM) systems.

In addition, implementation of ICD-10 regulation and adoption of auto-coding technology in healthcare is further estimated to fuel the demand in the healthcare sector.Media & advertisement and the retail sector is also one of the major end-users of the cloud NLP market solutions. They are leveraging NLP capabilities along with social media analytics modules and CRM solutions for lead generation and brand recognition. Furthermore, increasing interest of the market players towards these industry verticals is also backing the growth of the market. For instance, IBM, HP, SAS and EasyAsk are providing NLP tools such as sentiment analysis and text analysis to these industry sectors.

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