Welcome!

News Feed Item

Concise Analysis of the International Natural Language Processing (NLP) Market - Forecasts to 2018

DUBLIN, March 5, 2014 /PRNewswire/ --

Research and Markets (http://www.researchandmarkets.com/research/4z44sz/natural_language) has announced the addition of the "Concise Analysis of the International Natural Language Processing (NLP) Market - Forecasts to 2018" report to their offering.

     (Logo: http://photos.prnewswire.com/prnh/20130307/600769 )

The use of computers, smartphones and other connecting devices has revolutionized communication modes and business processes. This increasing trend for machine usage has also brought about the need for reducing the gap between human and machine interaction for better experience and enhanced applications. The big data phenomenon has created a rising demand for robust Natural Language Processing technologies which can extract and process human speech on real time basis. This demand was seen to be high in industries such as healthcare and capital market. Furthermore, the rising amounts of social media content having rich unstructured information about customer's perception and brand value has further encouraged the usage of Natural Language Processing technologies in various applications. There is a growing demand for sentiment analysis in many business organizations across the globe.

Currently, rule based NLP, statistical NLP and hybrid NLP solutions are the leading forms of Natural Language Processing solutions. These forms are fulfilling customer's requirements in the marketplace. There is an ever growing need for innovation in this market. Organizations are not hesitant to spend in building innovative processing engines that can be used with new technologies, such as machine to machine communication and multimodal data receptions. In the healthcare industry, the demand for technologies is becoming much more prominent.

Key Topics Covered:

1 Introduction

2 Executive Summary

3 Market Ecosystem And Dynamics

4 Natural Language Processing: Market Size And Forecast By Types

5 Natural Language Processing: Market Size And Forecast, By Technologies

6 Natural Language Processing: Market Size And Forecast By Services

7 Natural Language Processing: Market Size And Forecast, By Applications

8 Natural Language Processing: Market Size And Forecast By End Users

9 Natural Language Processing: Market Size And Forecast By Regions

10 Market Analysis, Trends And Insights

11 Company Profiles


Companies Mentioned:

  • 3M
  • Anboto
  • Apple
  • Artificial Solutions
  • Dolbey Systems
  • Fuji Xerox
  • Google
  • HP
  • IBM
  • Lexalytics
  • Linguamatics
  • M*Modal
  • Microsoft
  • Miiatech
  • NLP Technologies
  • Netbase Solutions
  • Nuance Communications
  • SAS
  • Semantic Research
  • Senexx
  • Swiftkey
  • Temis
  • Verint Systems
  • Yseop

For more information visit http://www.researchandmarkets.com/research/4z44sz/natural_language


Media Contact: Laura Wood , +353-1-481-1716, [email protected]

SOURCE Research and Markets

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
I wanted to gather all of my Internet of Things (IOT) blogs into a single blog (that I could later use with my University of San Francisco (USF) Big Data “MBA” course). However as I started to pull these blogs together, I realized that my IOT discussion lacked a vision; it lacked an end point towards which an organization could drive their IOT envisioning, proof of value, app dev, data engineering and data science efforts. And I think that the IOT end point is really quite simple…
"There's a growing demand from users for things to be faster. When you think about all the transactions or interactions users will have with your product and everything that is between those transactions and interactions - what drives us at Catchpoint Systems is the idea to measure that and to analyze it," explained Leo Vasiliou, Director of Web Performance Engineering at Catchpoint Systems, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York Ci...
As companies gain momentum, the need to maintain high quality products can outstrip their development team’s bandwidth for QA. Building out a large QA team (whether in-house or outsourced) can slow down development and significantly increases costs. This eBook takes QA profiles from 5 companies who successfully scaled up production without building a large QA team and includes: What to consider when choosing CI/CD tools How culture and communication can make or break implementation
Actian Corporation has announced the latest version of the Actian Vector in Hadoop (VectorH) database, generally available at the end of July. VectorH is based on the same query engine that powers Actian Vector, which recently doubled the TPC-H benchmark record for non-clustered systems at the 3000GB scale factor (see tpc.org/3323). The ability to easily ingest information from different data sources and rapidly develop queries to make better business decisions is becoming increasingly importan...
Big Data, cloud, analytics, contextual information, wearable tech, sensors, mobility, and WebRTC: together, these advances have created a perfect storm of technologies that are disrupting and transforming classic communications models and ecosystems. In his session at @ThingsExpo, Erik Perotti, Senior Manager of New Ventures on Plantronics’ Innovation team, provided an overview of this technological shift, including associated business and consumer communications impacts, and opportunities it ...
Redis is not only the fastest database, but it is the most popular among the new wave of databases running in containers. Redis speeds up just about every data interaction between your users or operational systems. In his session at 19th Cloud Expo, Dave Nielsen, Developer Advocate, Redis Labs, will share the functions and data structures used to solve everyday use cases that are driving Redis' popularity.
A critical component of any IoT project is what to do with all the data being generated. This data needs to be captured, processed, structured, and stored in a way to facilitate different kinds of queries. Traditional data warehouse and analytical systems are mature technologies that can be used to handle certain kinds of queries, but they are not always well suited to many problems, particularly when there is a need for real-time insights.
To leverage Continuous Delivery, enterprises must consider impacts that span functional silos, as well as applications that touch older, slower moving components. Managing the many dependencies can cause slowdowns. See how to achieve continuous delivery in the enterprise.
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
Is your aging software platform suffering from technical debt while the market changes and demands new solutions at a faster clip? It’s a bold move, but you might consider walking away from your core platform and starting fresh. ReadyTalk did exactly that. In his General Session at 19th Cloud Expo, Michael Chambliss, Head of Engineering at ReadyTalk, will discuss why and how ReadyTalk diverted from healthy revenue and over a decade of audio conferencing product development to start an innovati...
"Software-defined storage is a big problem in this industry because so many people have different definitions as they see fit to use it," stated Peter McCallum, VP of Datacenter Solutions at FalconStor Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Extracting business value from Internet of Things (IoT) data doesn’t happen overnight. There are several requirements that must be satisfied, including IoT device enablement, data analysis, real-time detection of complex events and automated orchestration of actions. Unfortunately, too many companies fall short in achieving their business goals by implementing incomplete solutions or not focusing on tangible use cases. In his general session at @ThingsExpo, Dave McCarthy, Director of Products...
WebRTC is bringing significant change to the communications landscape that will bridge the worlds of web and telephony, making the Internet the new standard for communications. Cloud9 took the road less traveled and used WebRTC to create a downloadable enterprise-grade communications platform that is changing the communication dynamic in the financial sector. In his session at @ThingsExpo, Leo Papadopoulos, CTO of Cloud9, discussed the importance of WebRTC and how it enables companies to focus...
StackIQ has announced the release of Stacki 3.2. Stacki is an easy-to-use Linux server provisioning tool. Stacki 3.2 delivers new capabilities that simplify the automation and integration of site-specific requirements. StackIQ is the commercial entity behind this open source bare metal provisioning tool. Since the release of Stacki in June of 2015, the Stacki core team has been focused on making the Community Edition meet the needs of members of the community, adding features and value, while ...
Deploying applications in hybrid cloud environments is hard work. Your team spends most of the time maintaining your infrastructure, configuring dev/test and production environments, and deploying applications across environments – which can be both time consuming and error prone. But what if you could automate provisioning and deployment to deliver error free environments faster? What could you do with your free time?