Cloud Natural Language Processing Market Analysis Focusing on Top Key Players – Google, Microsoft, IBM, HP, AWS, Baidu, Dolbey Systems, Facebook, Netbase Solutions, Fuji Xerox, Lexalytics & More

Global Cloud Natural Language Processing Market report is made by executing a superb research process to gather key information of this global Cloud Natural Language Processing market. The analysis is dependent on just two segments, especially, chief research and extensive secondary research. The preliminary study contains a realistic Cloud Natural Language Processing market inspection and segmentation of the industry

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.

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Top Manufacturers in global market are given bellow:

Google, Microsoft, IBM, HP, AWS, Baidu, Dolbey Systems, Facebook, Netbase Solutions, Fuji Xerox, Lexalytics, SAS, and Verint Systems.

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.

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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The above information is provided on a regional and country basis for the following:

• North America (U.S., Canada, Mexico)
o Europe (Germany, Italy, UK, France, Austria, Spain, Portugal, Ukraine, Switzerland)
o Asia Pacific (Japan, China, India, South Korea, Australia)
o Latin America (Brazil, Mexico)
o MEA (South Africa, Saudi Arabia)

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
• Others

Cloud NLP Market, By End-use
• Automotive
• BFSI
• Consumer Electronics
• Government & Legal
• Healthcare and Lifescience
• IT & Telecommunication
• Media and Advertisement
• Research and Education
• Retail
• Others

Asia Pacific is estimated to be the fastest growing region in the global cloud natural language processing market owing to the increasing adoption of the smart devices. Moreover, increasing investment in AI by Chinese players such as Baidu and Alibaba are also contributing significantly towards the revenue growth.

Table of Content
Chapter 1. Methodology & Scope
Chapter 2. Executive Summary
Chapter 3. Commercial Drone Industry Insights
Chapter 4. Competitive Landscape
Chapter 4. Competitive Landscape
Chapter 5. Global Cloud Natural Language Processing Market, By Component, By Product & More

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