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市場調查報告書

自然語言處理的全球市場 (2015∼2019年)

Global Natural Language Processing Market 2015-2019

出版商 TechNavio (Infiniti Research Ltd.) 商品編碼 349997
出版日期 內容資訊 英文 68 Pages
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自然語言處理的全球市場 (2015∼2019年) Global Natural Language Processing Market 2015-2019
出版日期: 2016年01月06日 內容資訊: 英文 68 Pages
簡介

自然語言處理 (NLP) ,是可理解人類言詞的電腦應用。是人工智能 (AI) 的一部分,依據電腦的理論和技術分析、解釋人類的溝通,並電子化的技術。目前NLP的方法是使用理解獨有程式的模式的機會性學習。

本報告提供自然語言處理的全球市場的目前方案和成長的展望,以專家意見為基礎的市場分析、主要供應商分析等。

第1章 摘要整理

第2章 調查的對象

  • 市場概要
  • 頂級供應商的提供產品

第3章 市場調查手法

  • 調查手法
  • 經濟指標

第4章 簡介

  • 主要市場焦點

第5章 市場展望

  • NLP的全球市場
  • 波特的五力分析

第6章 各應用領域市場分類

第7章 各技術市場分類

第8章 各產品市場分類

第9章 各終端用戶市場分類

第10章 按引進市場分類

第11章 地區分類

第12章 市場促進要素

  • 在醫療產業的NLP的利用增加
  • 智慧型手機、平板電腦的利用增加
  • 提高客戶體驗的必要性
  • 資料的增加
  • 對語音解決方案的投資增加

第13章 促進要素與其影響

第14章 市場課題

第15章 促進要素的影響與課題

第16章 市場趨勢

第17章 供應商的展望

  • 其他重要供應商

第18章 主要供應商分析

  • 3M
  • Apple
  • Google
  • Microsoft

第19章 附屬資料

第20章 關於Technavio

目錄
Product Code: IRTNTR8446

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.

Technavio's 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?

Table of Contents

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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