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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

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