Welcome!

News Feed Item

The Natural Language Processing (NLP) Market Report - Worldwide Market Forecast & Analysis to 2018 With Company Profiles on Prominent Market Players Including IBM, Microsoft and More

DUBLIN, IRELAND -- (Marketwired) -- 03/05/14 -- Research and Markets (http://www.researchandmarkets.com/research/4txzh5/natural_language) has announced the addition of the "Natural Language Processing (NLP) Market (IVR, OCR, Pattern Recognition, Auto Coding, Text Analytics, Speech Analytics, Machine Translation, Information Extraction, Question Answer, Report Generation) - Worldwide Market Forecast & Analysis to 2018" report to their offering.

Natural language is easier for humans to learn and exercise but difficult for computers to comprehend. Machines have proven their potential in computationally intensive tasks. However, they still fall short to master the basics of spoken and written languages. Natural language processing is a human to computer interaction, which analyses and understands both spoken and written forms of human languages. It helps computers in formulating basic and advanced levels of interaction with humans.

This form of communications assists the computer to perform various other additional tasks. Such application include the processing of large amounts of data by utilizing natural language processing for information retrieval, information extraction, automatic summarization, machine translation and dialogue systems. The prominent market players using this technology for various applications include IBM, SAS, Nuance Communications, Microsoft, 3M, M(i)Modal, Fuji Xerox and NetBase.

This report provides a comprehensive analysis of the major market drivers, restraints, opportunities, challenges and addresses the key issues in the natural language processing market. The report also analyzes global adoption trends and future potential areas of adoption across the different technologies. Furthermore, the report gives detailed analysis on global trends and forecasts, competitive landscape and analysis on VC funding and M&A, related to the natural language processing market. It also forecasts volumes, revenues and analyzes trends in each of the submarkets covered.

Scope of the Report

--  Types: Market is segmented based on types namely, rule based NLP,
    statistical NLP and hybrid NLP solutions currently available in the
    market.

--  Services: This segment includes services, such as installation and
    maintenance, training and certification, consulting, and other services.

--  Technologies:

    --  Recognition technologies: Interactive Voice Response (IVR), Optical
        Character Recognition (OCR), and pattern and image recognition.
    --  Operational Technologies: This segment includes technologies, such
        as auto coding and, classification and categorization technologies.
    --  Analytics Technologies: This segment includes technologies, such as
        text analytics, and speech analytics.


--  Enterprise: This segment covers all the industry verticals that are
    currently having prominent share in the market. The verticals are BFSI,
    transportation and logistics, healthcare, manufacturing, IT and
    telecommunication, energy and utilities, retail, government, defense and
    aerospace and, other verticals.

--  Consumer: This segments gives revenue generated from end users, outside
    the enterprise NLP. This segment includes the revenue generated from the
    apps.

--  Applications: The report covers the major applications across verticals
    that are described under Enterprise NLP. This section covers
    applications, such as machine translation, information extraction,
    report generation, question answering, and other applications.

--  Regions: The regions covered include North America (NA), Latin America
    (LA), Europe, Middle East and Africa (MEA) and Asia Pacific (APAC).


Key Topics Covered:

1 Introduction

2 Executive Summary

3 Market Ecosystem And Dynamics
3.1 Market Definition
3.2 Market Evolution
3.3 Market Segmentation
3.4 Market Dynamics

4 Natural Language Processing: Market Size And Forecast By Types
4.1 Introduction And Overview
4.2 Rule Based NLP
4.3 Statistical NLP
4.4 Hybrid NLP

5 Natural Language Processing: Market Size And Forecast, By Technologies
5.1 Introduction And Overview
5.2 Recognition
5.3 Operational
5.4 Analytics

6 Natural Language Processing: Market Size And Forecast By Services
6.1 Introduction And Overview
6.2 Installation And Maintenance
6.3 Training And Certification
6.4 Consulting
6.5 Other Services

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

8 Natural Language Processing: Market Size And Forecast By End Users
8.1 Enterprise NLP
8.2 Customer NLP
8.3 Market Analysis By Deployment Types

9 Natural Language Processing: Market Size And Forecast By Regions

10 Market Analysis, Trends And Insights
10.1 Competitive Landscape
10.2 End User Landscape

11 Company Profiles

Company Profiles (Overview, Products & Services, Financials, Swot Analysis and Strategy & Analyst Insights) for the following companies are included:

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

Clients of Research and Markets in the area of Computing and Technology include:

--  Samsung Electronics Co., Ltd.
--  Intel Corporation
--  Microsoft Corporation
--  Philips
--  IBM Corp.
--  McKinsey & Company, Inc.
--  Kymeta Corp
--  Thales Group
--  Schott AG
--  AMETEK, Inc

For more information visit http://www.researchandmarkets.com/research/4txzh5/natural_language

About Research and Markets

Research and Markets is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

Sector: Advanced Technology

Contacts:
Research and Markets
Laura Wood
Senior Manager
[email protected]

For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-415-1241
U.S. Fax: 646-607-1907
Fax (outside U.S.): +353-1-481-1716

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

Latest Stories
Headquartered in Plainsboro, NJ, Synametrics Technologies has provided IT professionals and computer systems developers since 1997. Based on the success of their initial product offerings (WinSQL and DeltaCopy), the company continues to create and hone innovative products that help its customers get more from their computer applications, databases and infrastructure. To date, over one million users around the world have chosen Synametrics solutions to help power their accelerated business or per...
DXWorldEXPO LLC announced today that Kevin Jackson joined the faculty of CloudEXPO's "10-Year Anniversary Event" which will take place on November 11-13, 2018 in New York City. Kevin L. Jackson is a globally recognized cloud computing expert and Founder/Author of the award winning "Cloud Musings" blog. Mr. Jackson has also been recognized as a "Top 100 Cybersecurity Influencer and Brand" by Onalytica (2015), a Huffington Post "Top 100 Cloud Computing Experts on Twitter" (2013) and a "Top 50 C...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Charles Araujo is an industry analyst, internationally recognized authority on the Digital Enterprise and author of The Quantum Age of IT: Why Everything You Know About IT is About to Change. As Principal Analyst with Intellyx, he writes, speaks and advises organizations on how to navigate through this time of disruption. He is also the founder of The Institute for Digital Transformation and a sought after keynote speaker. He has been a regular contributor to both InformationWeek and CIO Insight...
They say multi-cloud is coming, but organizations are leveraging multiple clouds already. According to a study by 451 Research, only 21% of organizations were using a single cloud. If you've found yourself unprepared for the barrage of cloud services introduced in your organization, you will need to change your approach to engaging with the business and engaging with vendors. Look at technologies that are on the way and work with the internal players involved to have a plan in place when the ine...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
Digital Transformation is much more than a buzzword. The radical shift to digital mechanisms for almost every process is evident across all industries and verticals. This is often especially true in financial services, where the legacy environment is many times unable to keep up with the rapidly shifting demands of the consumer. The constant pressure to provide complete, omnichannel delivery of customer-facing solutions to meet both regulatory and customer demands is putting enormous pressure on...
Sanjeev Sharma Joins November 11-13, 2018 @DevOpsSummit at @CloudEXPO New York Faculty. Sanjeev Sharma is an internationally known DevOps and Cloud Transformation thought leader, technology executive, and author. Sanjeev's industry experience includes tenures as CTO, Technical Sales leader, and Cloud Architect leader. As an IBM Distinguished Engineer, Sanjeev is recognized at the highest levels of IBM's core of technical leaders.
The now mainstream platform changes stemming from the first Internet boom brought many changes but didn’t really change the basic relationship between servers and the applications running on them. In fact, that was sort of the point. In his session at 18th Cloud Expo, Gordon Haff, senior cloud strategy marketing and evangelism manager at Red Hat, will discuss how today’s workloads require a new model and a new platform for development and execution. The platform must handle a wide range of rec...
For years the world's most security-focused and distributed organizations - banks, military/defense agencies, global enterprises - have sought to adopt cloud technologies that can reduce costs, future-proof against data growth, and improve user productivity. The challenges of cloud transformation for these kinds of secure organizations have centered around data security, migration from legacy systems, and performance. In our presentation, we will discuss the notion that cloud computing, properl...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
CloudEXPO New York 2018, colocated with DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
Wooed by the promise of faster innovation, lower TCO, and greater agility, businesses of every shape and size have embraced the cloud at every layer of the IT stack – from apps to file sharing to infrastructure. The typical organization currently uses more than a dozen sanctioned cloud apps and will shift more than half of all workloads to the cloud by 2018. Such cloud investments have delivered measurable benefits. But they’ve also resulted in some unintended side-effects: complexity and risk. ...