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市場調查報告書

自然適合語言處理 (NLP) 的全球市場分析、預測:NLP軟體、系統的媒體,零售,醫療保健,廣告技術,教育,汽車,其他的企業應用

Natural Language Processing - Media, Retail, Healthcare, Advertising Technology, Education, Automotive, and Other Enterprise Applications for Natural Language Processing Software and Systems: Global Market Analysis and Forecasts

出版商 Tractica 商品編碼 352697
出版日期 內容資訊 英文 78 Pages; 96 Tables, Charts & Figures
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自然適合語言處理 (NLP) 的全球市場分析、預測:NLP軟體、系統的媒體,零售,醫療保健,廣告技術,教育,汽車,其他的企業應用 Natural Language Processing - Media, Retail, Healthcare, Advertising Technology, Education, Automotive, and Other Enterprise Applications for Natural Language Processing Software and Systems: Global Market Analysis and Forecasts
出版日期: 2016年02月19日 內容資訊: 英文 78 Pages; 96 Tables, Charts & Figures
簡介

本報告提供自然語言處理 (NLP) 相關的市場趨勢及技術課題的相關調查,NLP硬體設備,軟體,及服務的十年預測,現在、未來的應用分析,主要企業簡介,各地區的產業每個部門的市場預測等彙整資料,為您概述為以下內容。

第1章 摘要整理

第2章 市場課題

  • 市場成長的促進要素
  • 自然語言處理、資料
  • 推動市場要素的理解
  • 市場障礙

第3章 產業概要

  • 簡介
  • 經營模式
  • 自然語言處理 (NLP) 已經成為競爭上優點的產業
    • 廣告服務
    • 法律
    • 媒體
  • NLP快要成為競爭上優點的產業
    • 汽車
    • 醫療診斷
    • 教育
    • 消費者金融
    • 醫療保健
    • 零售
  • NLP並無大影響的產業
    • 農業
    • 機關投資
    • 製造業
    • 網路、資料儲存
    • 石油、天然氣
    • 慈善活動

第4章 技術課題

  • NLP是什麼?
  • NLP的3個方面
    • 自然語言的鑑別、認識
    • 自然語言的翻譯
    • 自然語言的生成
  • 歷史的方法
    • 規則型NLP
    • 統計型NLP
  • 深層學習
    • 結構化資料 vs. 非結構化資料
    • 管理下 vs. 非管理下學習
    • 混合NLP

第5章 主要企業

  • 3M Cogent
  • Apple
  • Amazon
  • App Orchid
  • Automated Insights
  • Aylien
  • Baidu
  • BirdEye
  • Digital Reasoning
  • Expect Labs
  • Genee
  • Google
  • IBM
  • Lexalytics
  • NetBase
  • Microsoft
  • Narrative Science
  • Nuance
  • SyTrue
  • Veritone
  • NLP商務上其他的企業

第6章 市場預測

  • 預測手法
  • 全球NLP市場預測
  • 全球經濟成長率
  • NLP:各產業
  • NLP收益源
  • NLP主導的服務
  • NLP主導的自訂(客制化)服務
  • NLP主導的硬體設備收益
  • NLP收益:各產業
  • NLP:各雲端,各設備,以及各資料中心
  • NLP硬體設備,軟體,及業務收益全體
  • 結論、建議

第7章 企業名錄

第8章 縮寫、簡稱

第9章 目錄

第10章 圖表

第11章 調查範圍、來源、手法、筆記

圖表

目錄
Product Code: NLP-16

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Natural language processing (NLP) has become the high ground in a battle for control of the data economy and has an importance that far outweighs its size as a market. Although NLP has many applications, some of the most successful and aggressive companies in the world are embracing it in an ambitious attempt to build applications that are both completely personalized and yet generic to produce.

NLP technology still has a way to go, but it is improving rapidly thanks to advances in related artificial intelligence (AI) technologies, such as deep learning and cognitive computing. Companies like Amazon, Apple, Baidu, Facebook, Microsoft, Nuance, and Google are pushing ahead with their research into NLP. These companies and others like AT&T, 3M, and IBM are spending significant sums of money to acquire NLP companies, recruit NLP talent, and mine terabytes of crowdsourced content. In the process, they are raising the bar for other businesses in many industries. Intentionally or unintentionally, their efforts may disrupt the status quo at the shopping mall, in the offices of financial advisors, in the doctor's office, and in the classroom.


This Tractica report examines the market trends and technology issues surrounding natural language processing and presents 10-year forecasts for NLP hardware, software, and services during the period from 2015 through 2024. Current and potential applications are analyzed in depth, and the report also includes detailed profiles of 20 key industry players. Market forecasts, segmented by world region, include projections of software, hardware, and services revenue across 15 different industry sectors.

Key Questions Addressed:

  • What are the market trends driving adoption of NLP technology?
  • What are limitations to the software and what does the technology roadmap look like?
  • Which companies are investing most heavily in the technology?
  • How do big technology companies plan to leverage NLP to their advantage?
  • What are the possible outcomes of the current wave of investment?
  • Which industry sectors represent the strongest addressable markets for NLP?

Who Needs This Report?

  • Enterprise software companies
  • Semiconductor and component manufacturers
  • Service providers and systems integrators
  • End-user organizations deploying NLP systems
  • Industry associations
  • Government agencies
  • Investor community

Table of Contents

1. Executive Summary

  • 1.1. Introduction
  • 1.2. Market Drivers
  • 1.3. Industry Overview
  • 1.4. Technology Issues
  • 1.5. Market Forecast

2. Market Issues

  • 2.1. Market Drivers
    • 2.1.1. Data is More Valuable than Ever Before
    • 2.1.2. More Data than Ever Before
  • 2.2. Natural Language Processing and Data
    • 2.2.1. Personal Assistants Are the High Ground
      • 2.2.1.1. Amazon Alexa Voice Service (AVS)
      • 2.2.1.2. Apple Siri
      • 2.2.1.3. Baidu Duer
      • 2.2.1.4. Facebook Moneypenny
      • 2.2.1.5. Microsoft Cortana
      • 2.2.1.6. Google Now
  • 2.3. Understanding What Will Drive the Market from Here
  • 2.4. Market Barriers
    • 2.4.1. Limitations of Software
    • 2.4.2. Need for Accurate Data
    • 2.4.3. Political Controversy
    • 2.4.4. Human Nature
    • 2.4.5. Unrealistic Expectations
    • 2.4.6. Restrictions of Social Conventions
    • 2.4.7. Market Barrier Conclusions

3. Industry Overview

  • 3.1. Introduction
  • 3.2. Business Models
  • 3.3. Industries where Natural Language Processing Is Already a Competitive Advantage
    • 3.3.1. Ad Services
    • 3.3.2. Legal
    • 3.3.3. Media
  • 3.4. Industries where NLP Is Likely to Become a Competitive Advantage
    • 3.4.1. Automotive
    • 3.4.2. Medical Diagnostics
    • 3.4.3. Education
    • 3.4.4. Consumer Finance
    • 3.4.5. Healthcare
    • 3.4.6. Retail
  • 3.5. Industries where NLP is Not Likely to Have Much Impact
    • 3.5.1. Agriculture
    • 3.5.2. Institutional Investment
    • 3.5.3. Manufacturing
    • 3.5.4. Networking and Data Storage
    • 3.5.5. Oil and Gas
    • 3.5.6. Philanthropies

4. Technology Issues

  • 4.1. What Is NLP?
  • 4.2. Three Aspects of NLP
    • 4.2.1. Natural Language Identification and Recognition
    • 4.2.2. Natural Language Interpretation
    • 4.2.3. Natural Language Generation
  • 4.3. Historic Approaches
    • 4.3.1. Rules-Based NLP
    • 4.3.2. Statistical NLP
  • 4.4. Deep Learning
    • 4.4.1. Structured Data versus Unstructured Data
    • 4.4.2. Supervised versus Unsupervised Learning
    • 4.4.3. Hybrid NLP

5. Key Industry Players

  • 5.1. 3M Cogent
  • 5.2. Apple
  • 5.3. Amazon
  • 5.4. App Orchid
  • 5.5. Automated Insights
  • 5.6. Aylien
  • 5.7. Baidu
  • 5.8. BirdEye
  • 5.9. Digital Reasoning
  • 5.10. Expect Labs
  • 5.11. Genee
  • 5.12. Google
  • 5.13. IBM
  • 5.14. Lexalytics
  • 5.15. NetBase
  • 5.16. Microsoft
  • 5.17. Narrative Science
  • 5.18. Nuance
  • 5.19. SyTrue
  • 5.20. Veritone
  • 5.21. Other Companies in the NLP Business

6. Market Forecasts

  • 6.1. Forecast Methodology
  • 6.2. Global Natural Language Processing Market Forecasts
  • 6.3. Global Economic Growth Rates
  • 6.4. Natural Language Processing by Industry
  • 6.5. Natural Language Processing Revenue Streams
  • 6.6. Natural Language Processing-Driven Services
    • 6.6.1. Natural Language Processing-Driven Installation Services
    • 6.6.2. Natural Language Processing-Driven Training Services
  • 6.7. Natural Language Processing-Driven CustomizationServices
    • 6.7.1. Natural Language Processing-Driven Application Integration Services
    • 6.7.2. Natural Language Processing-Driven Maintenance and Support Services
  • 6.8. Natural Language Processing-Driven Hardware Revenue
    • 6.8.1. Natural Language Processing-Driven Cloud Revenue
    • 6.8.2. Natural Language Processing-Driven Compute Revenue
    • 6.8.3. Natural Language Processing-Driven Network Product Revenue
    • 6.8.4. Natural Language Processing-Driven Storage Device Revenue
  • 6.9. Natural Language Processing Revenue by Industry
    • 6.9.1. Natural Language Processing in the Ad Service Industry
    • 6.9.2. Natural Language Processing in the Automotive Industry
    • 6.9.3. Natural Language Processing in the Agriculture Industry
    • 6.9.4. Natural Language Processing in the Consumer Finance Industry
    • 6.9.5. Natural Language Processing in the Data Storage and Networking Industry
    • 6.9.6. Natural Language Processing in the Education Industry
    • 6.9.7. Natural Language Processing In the Investment Industry
    • 6.9.8. Natural Language Processing in the Healthcare Industry
    • 6.9.9. Natural Language Processing in the Legal Industry
    • 6.9.10. Natural Language Processing in the Manufacturing Industry
    • 6.9.11. Natural Language Processing in the Media Industry
    • 6.9.12. Natural Language Processing in the Medica Diagnostics Industry
    • 6.9.13. Natural Language Processing in the Oil and Gas Industry
    • 6.9.14. Natural Language Processing in the Philanthropies Industry
    • 6.9.15. Natural Language Processing in the Retail Industry
  • 6.10. Natural Language Processing By Cloud, Device, or Data Center
  • 6.11. Total NLP Hardware, Software, and Services Revenue
  • 6.12. Conclusions and Recommendations

7. Company Directory

8. Acronym and Abbreviation List

9. Table of Contents

10. Table of Charts and Figures

11. Scope of Study, Sources and Methodology, Notes

Tables

  • NLP Software Revenue by Region, World Markets: 2015-2024
  • Estimated Economic Growth Rates by Region, World Markets: 2015-2024
  • NLP Software Revenue by Industry, World Markets: 2015-2024
  • NLP Software Revenue in the Ad Service Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Automotive Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Agriculture Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Consumer Finance Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Data Storage and Networking Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Education Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Investment Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Healthcare Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Legal Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Manufacturing Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Media Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Medical Diagnostics Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Oil and Gas Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Philanthropies Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Retail Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue by Delivery Method, World Markets: 2015-2024
  • NLP Software Revenue in the Ad Service Industry by Delivery Method, World Markets: 2015-2024
  • NLP Software Revenue in the Automotive Industry by Delivery Method, World Markets: 2015-2024
  • NLP Software Revenue in the Agriculture Industry by Delivery Method, World Markets: 2015-2024
  • NLP Software Revenue in the Consumer Finance Industry by Delivery Method, World Markets: 2015-2024
  • NLP Software Revenue in the Data Storage and Networking Industry by Delivery Method, World Markets: 2015-2024
  • NLP Software Revenue in the Education Industry by Delivery Method, World Markets: 2015-2024
  • NLP Software Revenue in the Investment Industry by Delivery Method, World Markets: 2015-2024
  • NLP Software Revenue in the Healthcare Industry by Delivery Method, World Markets: 2015-2024
  • NLP Software Revenue in the Legal Industry by Delivery Method, World Markets: 2015-2024
  • NLP Software Revenue in the Manufacturing Industry by Delivery Method, World Markets: 2015-2024
  • NLP Software Revenue in the Media Industry by Delivery Method, World Markets: 2015-2024
  • NLP Software Revenue in the Medical Diagnostics Industry by Delivery Method, World Markets: 2015-2024
  • NLP Software Revenue in the Oil and Gas Industry by Delivery Method, World Markets: 2015-2024
  • NLP Software Revenue in the Philanthropies Industry by Delivery Method, World Markets: 2015-2024
  • NLP Software Revenue in the Retail Industry by Delivery Method, World Markets: 2015-2024
  • NLP Software Revenue in the Ad Service Industry by Region and Segment, World Markets: 2015-2024
  • NLP Software Revenue in the Automotive Industry by Region and Segment, World Markets: 2015-2024
  • NLP Software Revenue in the Agriculture Industry by Region and Segment, World Markets: 2015-2024
  • NLP Software Revenue in the Consumer Finance Industry by Region and Segment, World Markets: 2015-2024
  • NLP Software Revenue in the Data Storage and Networking Industry by Region and Segment, World Markets: 2015-2024
  • NLP Software Revenue in the Education Industry by Region and Segment, World Markets: 2015-2024
  • NLP Software Revenue in the Investment Industry by Region and Segment, World Markets: 2015-2024
  • NLP Software Revenue in the Healthcare Industry by Region and Segment, World Markets: 2015-2024
  • NLP Software Revenue in the Legal Industry by Region and Segment, World Markets: 2015-2024
  • NLP Software Revenue in the Manufacturing Industry by Region and Segment, World Markets: 2015-2024
  • NLP Software Revenue in the Media Industry by Region and Segment, World Markets: 2015-2024
  • NLP Software Revenue in the Medical Diagnostics Industry by Region and Segment, World Markets: 2015-2024
  • NLP Software Revenue in the Oil and Gas Industry by Region and Segment, World Markets: 2015-2024
  • NLP Software Revenue in the Philanthropies Industry by Region and Segment, World Markets: 2015-2024
  • NLP Software Revenue in the Retail Industry by Region and Segment, World Markets: 2015-2024
  • NLP-Driven Hardware Revenue by Product Category, World Markets: 2015-2014
  • NLP-Driven Cloud Revenue by Region, World Markets: 2015-2024
  • NLP-Driven Compute Revenue by Region, World Markets: 2015-2024
  • NLP-Driven GPU Chip Revenue by Region, World Markets: 2015-2024
  • NLP-Driven Network Product Revenue by Region, World Markets: 2015-2024
  • NLP-Driven Storage Device Revenue by Region, World Markets: 2015-2024
  • NLP-Driven Services Revenue by Service Category: 2015-2014
  • NLP-Driven Installation Services Revenue by Region, World Markets: 2015-2024
  • NLP-Driven Training Revenue by Region, World Markets: 2015-2024
  • NLP-Driven Customization Revenue by Region, World Markets: 2015-2024
  • NLP-Driven Application Integration Services Revenue by Region, World Markets: 2015-2024
  • NLP-Driven Maintenance and Support Services Revenue by Region, World Markets: 2015-2024
  • NLP Hardware Revenue by Region, World Markets: 2015-2024
  • NLP Services Revenue by Region, World Markets: 2015-2024
  • NLP Total Hardware, Software, and Services Revenue by Region, World Markets: 2015-2024

Charts

  • NLP Total Hardware, Software, and Services Revenue by Region, World Markets: 2015-2024
  • NLP Software Revenue by Region, World Markets: 2015-2024
  • Estimated Economic Growth Rates by Region, World Markets: 2015-2024
  • NLP Software Revenue by Industry, World Markets: 2015-2024
  • NLP-Driven Services Revenue by Service Category: 2015-2024
  • NLP-Driven Installation Services Revenue by Region, World Markets: 2015-2024
  • NLP-Driven Training Revenue by Region, World Markets: 2015-2024
  • NLP-Driven Customization Services Revenue by Region, World Markets: 2015-2024
  • NLP-Driven Application Integration Services Revenue by Region, World Markets: 2015-2024
  • NLP-Driven Maintenance and Support Services Revenue by Region, World Markets: 2015-2024
  • NLP-Driven Hardware Revenue by Product Category, World Markets: 2015-2024
  • NLP-Driven Cloud Revenue by Region, World Markets: 2015-2024
  • NLP-Driven Compute Revenue by Region, World Markets: 2015-2024
  • NLP-Driven Network Product Revenue by Region, World Markets: 2015-2024
  • NLP-Driven Storage Device Revenue by Region, World Markets: 2015-2024
  • NLP Software Ad Service Industry Revenue by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Automotive Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Agriculture Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Consumer Finance Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Data Storage and Networking Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Education Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Investment Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Healthcare Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Legal Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Manufacturing Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Media Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Medical Diagnostics Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Oil and Gas Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Philanthropies Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue in the Retail Industry by Region, World Markets: 2015-2024
  • NLP Software Revenue by Delivery Method, World Markets: 2015-2024
  • NLP Total Hardware, Software, and Services Revenue by Region, World Markets: 2015-2024
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