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Cloud Natural Language Processing (NLP) Market Detailed Analysis of Current Industry Figures with Forecasts Growth By 2024

New research report on Cloud Natural Language Processing (NLP) market, which is a detailed analysis of this business space inclusive of the trends, competitive landscape, and the market size. Encompassing one or more parameters among product analysis, application potential, and the regional growth landscape, Cloud Natural Language Processing (NLP) market also includes an in-depth study of the industry's competitive scenario.

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.

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.

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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.

Cloud Natural Language Processing (NLP) Market Detailed Analysis of Current Industry Figures with Forecasts Growth By 2024
Cloud Natural Language Processing (NLP) Market Detailed Analysis of Current Industry Figures with Forecasts Growth By 2024

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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

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.

Rule Based

Statistical

Major Highlights from Table of contents are listed below for quick lookup into Cloud Natural Language Processing (NLP) Market report

Chapter 1. Competitive Landscape

  • Company market share
  • Cloud Natural Language Processing (NLP) Market Competitive analysis of key market players
  • Competitive analysis of other prominent vendors

Chapter 2. Company Profiles

  • Business Overview
  • Financial Data
  • Product portfolio
  • Strategic Outlook
  • SWOT Analysis

Chapter 3. Methodology & Scope

  • Methodology
  • Initial data exploration
  • Cloud Natural Language Processing (NLP) Market Statistical model and forecast
  • Industry insights and validation
  • Cloud Natural Language Processing (NLP) Market Scope
  • Definition
  • Methodology and forecast parameters
  • Data Sources

Chapter 4. Executive Summary

  • Cloud Natural Language Processing (NLP) industry 360º synopsis - 2025
  • Cloud Natural Language Processing (NLP) Business trends
  • Region trends

Chapter 5. Cloud Natural Language Processing (NLP) industry Insights

  • Cloud Natural Language Processing (NLP) Industry segmentation
  • Industry landscape 2025
  • Industry Pitfalls and Challenges
  • Threat of new entrants
  • Threat of substitutes
  • Cloud Natural Language Processing (NLP) Market Growth potential analysis

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