About NLP Natural language processing is a computer application that can understand human language. It is a part of AI. It is a computerized technique in which human communication is analyzed and interpreted based on a set of theories and technologies by the computer. It is both based on text and speech provided to the computer. Currently, NLP approaches are based on machine learning that uses patterns for understanding own programs. The most common NLP in all the software packages includes: Sentence segmentation, part-of-speech tagging, and parsing Deep analytics Named entity extraction Co-reference resolution The goal of NLP is to reduce the time for understanding computer languages such as Java, C, C++, and Ruby. The development of NLP solutions is difficult because computers need humans to speak in a programming language that needs to be precise, unambiguous, and highly structured with less amount of enunciated voice commands. However, human speech cannot be precise, and it is often ambiguous and depend on variables that include slang, regional dialects, and social context. Technavios analysts forecast the global NLP... Research Beam Model: Research Beam Product ID: 383338 2500 USD New
Global Natural Language Processing Market 2015-2019
 
 

Global Natural Language Processing Market 2015-2019

  • Category : ICT & Media
  • Published On : January   2016
  • Pages : 68
  • Publisher : Technavio
 
 
 
About NLP
Natural language processing is a computer application that can understand human language. It is a part of AI. It is a computerized technique in which human communication is analyzed and interpreted based on a set of theories and technologies by the computer. It is both based on text and speech provided to the computer. Currently, NLP approaches are based on machine learning that uses patterns for understanding own programs. The most common NLP in all the software packages includes:
Sentence segmentation, part-of-speech tagging, and parsing
Deep analytics
Named entity extraction
Co-reference resolution

The goal of NLP is to reduce the time for understanding computer languages such as Java, C, C++, and Ruby.

The development of NLP solutions is difficult because computers need humans to speak in a programming language that needs to be precise, unambiguous, and highly structured with less amount of enunciated voice commands. However, human speech cannot be precise, and it is often ambiguous and depend on variables that include slang, regional dialects, and social context.

Technavios analysts forecast the global NLP market to grow at a CAGR of 16.11 % over the period 2014-2019.

Covered in this report
This report covers the present scenario and growth prospects of the global NLP market for 2015-2019. To calculate the market size, the report considers revenue generated from the sales of NLP solutions in the global market from the following segments:
Recognition market: This includes the revenue generated from speech recognition, OCR , and IVR systems market
Analytics market: This includes the revenue generated from text and speech analytics
Operational market: This includes the revenue generated from categorization and auto-coding process

This report also segments the market according to the end-users, deployment model, and by product.

Key regions
APAC
Europe
Latin America
MEA
North America

Key vendors
3M
Apple
Google
Microsoft

Other prominent vendors
A3logics
AlchemyAPI
Apixio
Aylien
Dolbey Systems
Fluxifi
HP
IBM
Linguamatics
Mmodal
Netbase
Nuance Communication
SAS Institute
Textalytics
Verint Systems

Key market driver
Increase in use of NLP in healthcare industry
For a full, detailed list, view our report

Key market challenge
Inability to suppress ambient noise
For a full, detailed list, view our report

Key market trend
Growing use of text analytics in healthcare industry
For a full, detailed list, view our report

Key questions answered in this report
What will the market size be in 2019 and what will the growth rate be?
What are the key market trends?
What is driving this market?
What are the challenges to market growth?
Who are the key vendors in this market space?
What are the market opportunities and threats faced by the key vendors?
What are the strengths and weaknesses of the key vendors?
PART 01: Executive summary
Highlights

PART 02: Scope of the report
Market overview
Top-vendor offerings

PART 03: Market research methodology
Research methodology
Economic indicators

PART 04: Introduction
Key market highlights

PART 05: Market landscape
Global NLP market
Five forces analysis

PART 06: Market segmentation by application

PART 07: Market segmentation by technology

PART 08: Market segmentation by product

PART 09: Market segmentation by end-user

PART 10: Market segmentation by deployment model

PART 11: Geographical segmentation

PART 12: Market drivers
Increase in use of NLP in healthcare industry
Increase in use of smartphones and tablets
Need to improve customer experience
Increase in data
Increased investment in speech solutions

PART 13: Impact of drivers

PART 14: Market challenges

PART 15: Impact of drivers and challenges

PART 16: Market trends

PART 17: Vendor landscape
Other prominent vendors

PART 18: Key vendor analysis
3M
Apple
Google
Microsoft

PART 19: Appendix
List of abbreviations

PART 20: Explore Technavio

List of Exhibits
Exhibit 01: Product offerings
Exhibit 02: Global NLP market ($ billions)
Exhibit 03: Five forces analysis
Exhibit 04: Global NLP market by technology 2014
Exhibit 05: Global IVR system market 2014-2019 ($ billions)
Exhibit 06: Global OCR market 2014-2019 ($ billions)
Exhibit 07: Global pattern recognition market 2014-2019 ($ billions)
Exhibit 08: Global text analytics market 2014-2019 ($ billions)
Exhibit 09: Global speech analytics market 2014-2019 ($ billions)
Exhibit 10: Global operational market 2014-2019 ($ billions)
Exhibit 11: Global NLP market by end-user 2014
Exhibit 12: Global NLP market by geography 2014
Exhibit 13: Global NLP market by geography 2014-2019
Exhibit 14: Impact of drivers
Exhibit 15: Impact of drivers and challenges
Exhibit 16: M: Business segmentation by revenue 2014
Exhibit 17: M: Business segmentation by revenue 2013 and 2014 ($ billions)
Exhibit 18: M: Geographical segmentation by revenue 2014
Exhibit 19: Apple: Business segmentation by revenue 2014
Exhibit 20: Apple: Business segmentation by revenue 2013 and 2014 ($ billions)
Exhibit 21: Google: Product segmentation by revenue 2014
Exhibit 22: Google: Business segmentation by revenue 2013 and 2014 ($ billions)
Exhibit 23: Google: Geographical segmentation by revenue 2014
Exhibit 24: Microsoft: Business segmentation by revenue 2014
Exhibit 25: Microsoft: Business segmentation by revenue 2013 and 2014 ($ billions)
Exhibit 26: Microsoft: Geographical segmentation by revenue 2014

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