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市場調查報告書

自然語言處理 (NLP) 市場分析、預測:NLP處理、閱讀和理解、生成軟體&系統的企業的利用

Natural Language Processing - Enterprise Applications for Natural Language Processing Technologies (Processing, Understanding, Generation) Software and Systems: Market Analysis and Forecasts

出版商 Tractica 商品編碼 352697
出版日期 內容資訊 英文 106 Pages; 119 Tables, Charts & Figures
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自然語言處理 (NLP) 市場分析、預測:NLP處理、閱讀和理解、生成軟體&系統的企業的利用 Natural Language Processing - Enterprise Applications for Natural Language Processing Technologies (Processing, Understanding, Generation) Software and Systems: Market Analysis and Forecasts
出版日期: 2017年08月18日 內容資訊: 英文 106 Pages; 119 Tables, Charts & Figures
簡介

本報告提供自然語言處理 (NLP) 技術的市場調查,市場定義和概要,市場促進因素、抑制因素分析,各種技術的用途和使用案例,技術概要,主要加入企業,軟體、服務、硬體設備收益的變化與預測,各產業部門、地區的明細,各種建議等彙整資料。

第1章 摘要整理

第2章 市場課題

  • 簡介
  • 定義
  • 市場促進因素
  • 市場成長的阻礙因素
  • 利用案例
    • 患者資料處理
      • 3M
      • SyTrue
    • 紙資料轉換為數位資料
      • App Orchid
      • AppZen
      • HyperScience
    • 自動報告生成
      • Narrative Science
      • Synechron
    • 感情分析
      • BirdEye
      • Infegy
      • Lexalytics
      • NetBase
      • Protagonist
    • 患者用虛擬助手
      • Babylon Health
    • 智慧型採用、人力資源系統
    • 說話者/語音辨識
    • 影像內容詢問
      • Salesforce
      • Blippar
    • 搜尋引擎詢問
    • 契約分析
      • Seal Software
    • 聊天機器人為基礎的電子商務、銷售
      • Conversable
      • Klevu
    • 聊天機器人為基礎的品牌/服務互動
      • Inbenta Technologies
      • Interactions
      • Rasa
    • 自動代碼生成等

第3章 技術

  • 簡介
  • 機器&深度學習的重要性 to NLP
  • 自然語言的理解:字圖、語言模式
  • 自然語言生成
  • 傳統方法
  • 深度學習

第4章 主要加入企業

第5章 市場預測

  • 預測手法
  • 市場預測
    • 軟體收益
    • 軟體、服務、硬體設備的總收益
    • 混合NLP/其它的AI軟體的收益
  • 市場預測:各產業
    • 廣告
    • 商務服務
    • 消費者
    • 教育
    • 金融
    • 政府
    • 醫療保健
    • IT
    • 投資
    • legal
    • 製造
    • 媒體&娛樂
    • 石油、天然氣、礦業
    • 零售業
  • 市場預測:相關業務收益
    • 引進
    • 訓練
    • 客製化
    • 應用整合
    • 維護、支援
  • 市場預測:相關雲端服務收益
  • 市場預測:相關硬體設備收益
    • GPU晶片
    • 網路產品
    • 儲存裝置
  • 總論、建議

第6章 企業目錄

第7章 用語

第8章 目錄

第9章 圖表

第10章 調查範圍、資訊來源、調查手法、註記

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目錄
Product Code: NLP-17

Natural language processing (NLP) is a technology spawned from the need for machines to understand and communicate with humans in human language, not formal computer languages. The concept behind NLP is simple: if and when machines can understand and communicate with humans in natural (human) language, it democratizes data science, enabling humans to access, analyze, and leverage data more intelligently and become more efficient as they offload redundant, data-heavy tasks to machines. NLP is most commonly understood as a user interface (UI) technology, enabling two-way communications with computers via speech or text. However, NLP is also a critical technology for extracting insights and analysis from a vast amount of previously unindexed and unstructured data; mining video and audio files, emails, scanned documents, and more.

NLP adoption is accelerating, but not because of the creation of new NLP algorithms, as the data science in that regard is mature. NLP adoption has accelerated over the past 2 to 3 years because of scalable, affordable computational power, the increasing digitization of all data, and the melding of NLP with machine learning (ML) and deep learning (DL).

The best bet NLP use cases, which are emerging, have some common characteristics:

  • They seek operational or production efficiencies. They seek to automate redundant, data-heavy tasks or jobs to allow humans to focus on human-suited tasks.
  • They seek insight. The analysis of data from previously untapped sources to gain competitive advantages, become more attuned to customers, audiences, and stakeholders, or to build predictive, prescriptive plans.

This Tractica report examines 42 NLP use cases, identifying those applications best suited for commercial use. In addition, the report details 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 2016 through 2025. The report also includes detailed profiles of 35 key industry players. Market forecasts, segmented by world region, include projections of software, hardware, and services revenue across multiple industry sectors.

Key Questions Addressed:

  • What are the key use cases for NLP?
  • 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?
  • 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
    • 1.1.1. Legacy Natural Language Processing Gives Way to Hybrid Natural Language Processing
  • 1.2. Market Drivers
    • 1.2.1. User Interface Technology for New Computing Platforms
    • 1.2.2. The Failure of Big Data
    • 1.2.3. Cost Drivers and Business Model Impacts
  • 1.3. Market Barriers
    • 1.3.1. Understanding Context
    • 1.3.2. Need for Accurate Data
    • 1.3.3. Threat to Jobs
  • 1.4. Use Cases
  • 1.5. Key Industry Players
  • 1.6. Market Forecast Highlights

2. Market Issues

  • 2.1. Introduction
  • 2.2. Definitions
  • 2.3. Market Drivers
    • 2.3.1. User Interface Technology for New Computing Platforms
    • 2.3.2. The Failure of Big Data
    • 2.3.3. Digitization of Society and Data
    • 2.3.4. Computation at Scale
      • 2.3.4.1. Exponential Advancements in Hardware Speed
      • 2.3.4.2. Significant Improvements in Machine Learning Algorithms
    • 2.3.5. Cost Drivers and Business Model Impacts
  • 2.4. Market Barriers
    • 2.4.1. Understanding Context
      • 2.4.1.1. Addressing Context
    • 2.4.2. Need for Accurate Data
    • 2.4.3. Privacy
    • 2.4.4. Threat to Jobs
  • 2.5. Use Cases
    • 2.5.1. Patient Data Processing
      • 2.5.1.1. 3M
      • 2.5.1.2. SyTrue
    • 2.5.2. Converting Paperwork into Digital Data
      • 2.5.2.1. App Orchid
      • 2.5.2.2. AppZen
      • 2.5.2.3. HyperScience
    • 2.5.3. Automated Report Generation
      • 2.5.3.1. Narrative Science
      • 2.5.3.2. Synechron
    • 2.5.4. Sentiment Analysis
      • 2.5.4.1. BirdEye
      • 2.5.4.2. Infegy
      • 2.5.4.3. Lexalytics
      • 2.5.4.4. NetBase
      • 2.5.4.5. Protagonist
    • 2.5.5. Virtual Assistants for Patients
      • 2.5.5.1. Babylon Health
    • 2.5.6. Intelligent Recruitment and Human Resources Systems
    • 2.5.7. Voice/Speech Recognition
    • 2.5.8. Querying Image Content
      • 2.5.8.1. Salesforce
      • 2.5.8.2. Blippar
    • 2.5.9. Search Engine Queries
    • 2.5.10. Contract Analysis
      • 2.5.10.1. Seal Software
    • 2.5.11. Chatbot-Based E-Commerce and Sales
      • 2.5.11.1. Conversable
      • 2.5.11.2. Klevu
    • 2.5.12. Chatbot-Based Brand/Service Interaction
      • 2.5.12.1. Inbenta Technologies
      • 2.5.12.2. Interactions
      • 2.5.12.3. Rasa
    • 2.5.13. Automated Code Development
    • 2.5.14. Social Media Feed Curation
    • 2.5.15. News and Feed Curation for Consumers
    • 2.5.16. Legal Document Review and Research
    • 2.5.16.1. Casetext
    • 2.5.17. Automated CliffsNotes, Study Notes, Quiz Generation
    • 2.5.18. Textual Question Answering
    • 2.5.19. Text-Based Automated Bots
    • 2.5.20. Audio and Video Mining
      • 2.5.20.1. Chorus.ai
      • 2.5.20.2. Veritone
    • 2.5.21. Medical Treatment Recommendation
    • 2.5.22. Medical Diagnosis Assistance
    • 2.5.23. Language Translation Services
      • 2.5.23.1. Lilt
    • 2.5.24. Foreign Language Tutoring
    • 2.5.25. Tax Filing and Processing
    • 2.5.26. Enterprise Chatbots for Productivity and Collaboration
    • 2.5.27. Spoken Fluency Evaluation
    • 2.5.28. Automated Grading of Tests
    • 2.5.29. Predictive Typing Assistant
    • 2.5.30. Education for Autistic and Speech Deficient Children
    • 2.5.31. Workflow and Project Management
    • 2.5.32. Text Classification and Mining for Biomedical Literature
    • 2.5.33. Algorithmic News Stories
      • 2.5.33.1. Automated Insights
    • 2.5.34. Mining, Processing, and Making Sense of Clinical Notes
    • 2.5.35. Virtual Assistants for Doctors
    • 2.5.36. Calendar, Meeting, Event Scheduling, and Reminder
    • 2.5.37. Financial Search Engine
    • 2.5.38. Dialect Classification
    • 2.5.39. Real-Time News Analysis and Competitive Intelligence
      • 2.5.39.1. Aylien
      • 2.5.39.2. FiscalNote
    • 2.5.40. Hospital Patient Management System
    • 2.5.41. Automated Tour Guide and Itinerary Service Social Media Bots

3. Technology Issues

  • 3.1. Introduction
  • 3.2. The Importance of Machine and Deep Learning to NLP
  • 3.3. Understanding Natural Language: Word Maps and Language Models
  • 3.4. Natural Language Generation
  • 3.5. Legacy Approaches to Natural Language Processing
    • 3.5.1. Rules-Based
    • 3.5.2. Statistical Models
  • 3.6. Deep Learning
    • 3.6.1. Deep Learning in Context
    • 3.6.2. What Is Deep Learning?

4. Key Industry Players

  • 4.1. 3M
  • 4.2. App Orchid
  • 4.3. AppZen
  • 4.4. Automated Insights
  • 4.5. Aylien
  • 4.6. Babylon Health
  • 4.7. BirdEye
  • 4.8. Casetext
  • 4.9. Chorus.ai
  • 4.10. Cognitive Code
  • 4.11. Conversable
  • 4.12. Cortical.io
  • 4.13. Digital Reasoning
  • 4.14. FiscalNote
  • 4.15. Google
  • 4.16. HyperScience
  • 4.17. IBM
  • 4.18. Inbenta Technologies
  • 4.19. Infegy
  • 4.20. Interactions
  • 4.21. Klevu
  • 4.22. Lexalytics
  • 4.23. Lilt
  • 4.24. Luminoso
  • 4.25. Micros
  • 4.26. Narrative Science
  • 4.27. NetBase
  • 4.28. Protagonist
  • 4.29. Rasa
  • 4.30. Salesforce
  • 4.31. Seal Software
  • 4.32. SparkCognition
  • 4.33. Synechron
  • 4.34. SyTrue
  • 4.35. Veritone
  • 4.36. Other Natural Language Processing Companies

5. Market Forecasts

  • 5.1. Forecast Methodology
  • 5.2. Global Natural Language Processing Market Forecasts
    • 5.2.1. Natural Language Processing Software Revenue
    • 5.2.2. Total Revenue for Natural Language Processing Software, Services, and Hardware
    • 5.2.3. Global Hybrid Natural Language Processing/Other Artificial Intelligence Software Revenue
  • 5.3. Natural Language Processing by Industry
    • 5.3.1. Natural Language Processing in the Advertising Industry
    • 5.3.2. Natural Language Processing in the Business Services Industry
    • 5.3.3. Natural Language Processing in the Consumer Sector
    • 5.3.4. Natural Language Processing in the Education Industry
    • 5.3.5. Natural Language Processing in the Finance Industry
    • 5.3.6. Natural Language Processing in the Government Sector
    • 5.3.7. Natural Language Processing in the Healthcare Industry
    • 5.3.8. Natural Language Processing in the Information Technology Industry
    • 5.3.9. Natural Language Processing in the Investment Industry
    • 5.3.10. Natural Language Processing in the Legal Industry
    • 5.3.11. Natural Language Processing in the Manufacturing Industry
    • 5.3.12. Natural Language Processing in the Media & Entertainment Industry
    • 5.3.13. Natural Language Processing in the Oil, Gas, and Mining Industry
    • 5.3.14. Natural Language Processing in the Retail Industry
  • 5.4. Natural Language Processing-Driven Services Revenue
    • 5.4.1. Natural Language Processing-Driven Installation Services
    • 5.4.2. Natural Language Processing-Driven Training Services
    • 5.4.3. Natural Language Processing-Driven Customization Services
    • 5.4.4. Natural Language Processing-Driven Application Integration Services
    • 5.4.5. Natural Language Process-Driven Maintenance and Support Services
  • 5.5. Natural Language Processing-Driven Cloud Services Revenue
  • 5.6. Natural Language Processing-Driven Hardware Revenue
    • 5.6.1. Natural Language Processing-Driven Graphics Processing Unit Chip Revenue
    • 5.6.2. Natural Language Processing-Driven Network Product Revenue
    • 5.6.3. Natural Language Processing-Driven Storage Device Revenue
  • 5.7. Conclusions and Recommendations

6. Company Directory

7. Acronym and Abbreviation List

8. Table of Contents

9. Table of Charts and Figures

10. Scope of Study, Sources and Methodology, Notes

Tables

  • Natural Language Processing Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing Total Revenue by Segment, World Markets: 2016-2025
  • Natural Language Processing Hardware Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing Services Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing Total Software, Service, and Hardware Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue by Industry, World Markets: 2016-2025
  • Natural Language Processing Software Revenue by Use Case, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Advertising Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Business Services Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Consumer Sector by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Education Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Finance Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Government Sector by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Healthcare Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Information Technology Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Investment Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Legal Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Manufacturing Industry by Region, World Markets: 2016- 2025
  • Natural Language Processing Software Revenue in the Media & Entertainment Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Oil, Gas, and Mining Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Retail Industry by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Hardware Revenue by Product Category, World Markets: 2016-2025
  • Natural Language Processing-Driven Cloud Services Revenue, World Markets: 2016-2025
  • Natural Language Processing Cloud Services Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven CPU, ASIC, FPGA Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven GPU Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Network Products Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Storage Devices Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Services Revenue by Service Category: 2015-2014
  • Natural Language Processing-Driven Installation Services Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Training Services Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Customization Services Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Application Integration Services Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Support and Maintenance Services Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue (in Combination with Deep Learning, Machine Learning, Computer Vision, and Machine Reasoning) by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue (in Combination with Deep Learning, Machine Learning, Computer Vision, and Machine Reasoning) by Use Case, World Markets: 2016-2025
  • Natural Language Processing-Driven Patient Data Processing Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Converting Paperwork into Digital Data Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Sentiment Analysis Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Intelligent Recruitment and Human Resources Systems Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Automated Report Generation Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Chatbot-Based ECommerce and Sales Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Voice/Speech Recognition Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Chatbot-Based Brand/Service Interaction Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Search Engine Queries Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Social Media Feed Curation Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven News and Feed Curation for Consumers Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Text-Based Automated Bots Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Textual Question Answering Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Audio and Video Mining Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Medical Treatment Recommendation Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Medical Diagnosis Assistance Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Enterprise Chatbots for Productivity and Collaboration Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Spoken Fluency Evaluation Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Tax Filing and Processing Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Automated Grading of Tests Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Predictive Typing Assistant Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Text Classification and Mining for Biomedical Literature Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Dialect Classification Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Real-Time News Analysis and Competitive Intelligence Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Automated Tour Guide and Itinerary Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Querying Image Content Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Virtual Assistant for Patients Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Contract Analysis Software Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Automated CliffsNotes, Study Note, and Quiz Generator Software Revenue by Region, World Markets: 2016-2025 Natural Language Processing-Driven Automated Code Development Software Revenue by Region, World Markets: 2016-2025 Natural Language Processing-Driven Legal Document Review and Research Software Revenue by Region, World Markets: 2016-2025 Natural Language Processing-Driven Foreign Language Tutoring Software Revenue by Region, World Markets: 2016-2025 Natural Language Processing-Driven Language Translation Services Software Revenue by Region, World Markets: 2016-2025 Natural Language Processing-Driven Education for Autistic and Speech Deficient Kids Software Revenue by Region, World Markets: 2016-2025 Natural Language Processing-Driven Workflow and Project Management Software Revenue by Region, World Markets: 2016-2025 Natural Language Processing-Driven Mining, Processing, and Making Sense of Clinical Notes Software Revenue by Region, World Markets: 2016-2025 Natural Language Processing-Driven Algorithmic News Stories Software Revenue by Region, World Markets: 2016-2025 Natural Language Processing-Driven Virtual Assistants for Doctors Software Revenue by Region, World Markets: 2016-2025 Natural Language Processing-Driven Financial Search Engine Software Revenue by Region, World Markets: 2016-2025 Natural Language Processing-Driven Calendar, Meeting, Event Scheduling, and Reminder Software Revenue by Region, World Markets: 2016-2025 Natural Language Processing-Driven Hospital Patient Management System Software Revenue by Region, World Markets: 2016-2025 Natural Language Processing-Driven Social Media Bots Software Revenue by Region, World Markets: 2016-2025

Charts

  • Natural Language Processing Total Revenue by Segment, World Markets: 2016-2025 Natural Language Processing Software Revenue by Region, World Markets: 2016-2025 Natural Language Processing Software Revenue by Region, World Markets: 2016-2025 Natural Language Processing Total Revenue by Segment, World Markets: 2016-2025 Natural Language Processing Software Revenue (in Combination with Machine Learning, Deep Learning, Machine Reasoning, and Computer Vision), World Markets: 2016-2025 Natural Language Processing Software Revenue by Region (in Combination with Machine Learning, Deep Learning, Machine Reasoning, and Computer Vision), World Markets: 2016-2025 Natural Language Processing Software Revenue by Industry, World Markets: 2016-2025 Natural Language Processing Software Revenue in the Advertising Industry by Region, World Markets: 2016-2025 Natural Language Processing Software Revenue in the Business Services Industry by Region, World Markets: 2016-2025 Natural Language Processing Software Revenue in the Consumer Sector by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Education Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Finance Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Government Sector by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Healthcare Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Information Technology Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Investment Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Legal Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Manufacturing Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Media & Entertainment Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Oil, Gas, and Mining Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Software Revenue in the Retail Industry by Region, World Markets: 2016-2025
  • Natural Language Processing Services Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Installation Services Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Training Services Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Customization Services Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Application Integration Services Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Support and Maintenance Services Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Cloud Services Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing Hardware Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Hardware Revenue by Product Category, World Markets: 2016-2025
  • Natural Language Processing-Driven GPU Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven CPU, ASIC, FPGA Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Network Products Revenue by Region, World Markets: 2016-2025
  • Natural Language Processing-Driven Storage Device Revenue by Region, World Markets: 2016-2025

Figures

  • King of Sarcasm, Bill Murray
  • Blippar's Visual Search
  • Chipotle Share of Restaurant Foot Traffic (Week over Week)
  • Examples of Word Embeddings
  • Progression of Natural Language Generation
  • Artificial Intelligence Encompasses Numerous Technologies
  • Schematic Representation of a Deep Neural Network
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