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Global Natural Language Understanding (NLU) Software Market Size, Status and Forecast 2020-2026

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1 Report Overview

  • 1.1 Study Scope
  • 1.2 Market Analysis by Type
    • 1.2.1 Global Natural Language Understanding (NLU) Software Market Size Growth Rate by Type: 2020 VS 2026
    • 1.2.2 Machine Translation
    • 1.2.3 Information Extraction
    • 1.2.4 Automatic Summarization
    • 1.2.5 Text and Voice Processing
    • 1.2.6 Other
  • 1.3 Market by Application
    • 1.3.1 Global Natural Language Understanding (NLU) Software Market Share by Application: 2020 VS 2026
    • 1.3.2 BFSI
    • 1.3.3 Healthcare
    • 1.3.4 Other
  • 1.4 Study Objectives
  • 1.5 Years Considered

2 Global Growth Trends

  • 2.1 Global Natural Language Understanding (NLU) Software Market Perspective (2015-2026)
  • 2.2 Global Natural Language Understanding (NLU) Software Growth Trends by Regions
    • 2.2.1 Natural Language Understanding (NLU) Software Market Size by Regions: 2015 VS 2020 VS 2026
    • 2.2.2 Natural Language Understanding (NLU) Software Historic Market Share by Regions (2015-2020)
    • 2.2.3 Natural Language Understanding (NLU) Software Forecasted Market Size by Regions (2021-2026)
  • 2.3 Industry Trends and Growth Strategy
    • 2.3.1 Market Trends
    • 2.3.2 Market Drivers
    • 2.3.3 Market Challenges
    • 2.3.4 Market Restraints

3 Competition Landscape by Key Players

  • 3.1 Global Top Natural Language Understanding (NLU) Software Players by Market Size
    • 3.1.1 Global Top Natural Language Understanding (NLU) Software Players by Revenue (2015-2020)
    • 3.1.2 Global Natural Language Understanding (NLU) Software Revenue Market Share by Players (2015-2020)
  • 3.2 Global Natural Language Understanding (NLU) Software Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
  • 3.3 Players Covered: Ranking by Natural Language Understanding (NLU) Software Revenue
  • 3.4 Global Natural Language Understanding (NLU) Software Market Concentration Ratio
    • 3.4.1 Global Natural Language Understanding (NLU) Software Market Concentration Ratio (CR5 and HHI)
    • 3.4.2 Global Top 10 and Top 5 Companies by Natural Language Understanding (NLU) Software Revenue in 2019
  • 3.5 Key Players Natural Language Understanding (NLU) Software Area Served
  • 3.6 Key Players Natural Language Understanding (NLU) Software Product Solution and Service
  • 3.7 Date of Enter into Natural Language Understanding (NLU) Software Market
  • 3.8 Mergers & Acquisitions, Expansion Plans

4 Natural Language Understanding (NLU) Software Breakdown Data by Type (2015-2026)

  • 4.1 Global Natural Language Understanding (NLU) Software Historic Market Size by Type (2015-2020)
  • 4.2 Global Natural Language Understanding (NLU) Software Forecasted Market Size by Type (2021-2026)

5 Natural Language Understanding (NLU) Software Breakdown Data by Application (2015-2026)

  • 5.1 Global Natural Language Understanding (NLU) Software Historic Market Size by Application (2015-2020)
  • 5.2 Global Natural Language Understanding (NLU) Software Forecasted Market Size by Application (2021-2026)

6 North America

  • 6.1 North America Natural Language Understanding (NLU) Software Market Size (2015-2026)
  • 6.2 North America Natural Language Understanding (NLU) Software Market Size by Type (2015-2020)
  • 6.3 North America Natural Language Understanding (NLU) Software Market Size by Application (2015-2020)
  • 6.4 North America Natural Language Understanding (NLU) Software Market Size by Country (2015-2020)
    • 6.4.1 United States
    • 6.4.2 Canada

7 Europe

  • 7.1 Europe Natural Language Understanding (NLU) Software Market Size (2015-2026)
  • 7.2 Europe Natural Language Understanding (NLU) Software Market Size by Type (2015-2020)
  • 7.3 Europe Natural Language Understanding (NLU) Software Market Size by Application (2015-2020)
  • 7.4 Europe Natural Language Understanding (NLU) Software Market Size by Country (2015-2020)
    • 7.4.1 Germany
    • 7.4.2 France
    • 7.4.3 U.K.
    • 7.4.4 Italy
    • 7.4.5 Russia
    • 7.4.6 Nordic
    • 7.4.7 Rest of Europe

8 China

  • 8.1 China Natural Language Understanding (NLU) Software Market Size (2015-2026)
  • 8.2 China Natural Language Understanding (NLU) Software Market Size by Type (2015-2020)
  • 8.3 China Natural Language Understanding (NLU) Software Market Size by Application (2015-2020)
  • 8.4 China Natural Language Understanding (NLU) Software Market Size by Region (2015-2020)
    • 8.4.1 China
    • 8.4.2 Japan
    • 8.4.3 South Korea
    • 8.4.4 Southeast Asia
    • 8.4.5 India
    • 8.4.6 Australia
    • 8.4.7 Rest of Asia-Pacific

9 Japan

  • 9.1 Japan Natural Language Understanding (NLU) Software Market Size (2015-2026)
  • 9.2 Japan Natural Language Understanding (NLU) Software Market Size by Type (2015-2020)
  • 9.3 Japan Natural Language Understanding (NLU) Software Market Size by Application (2015-2020)
  • 9.4 Japan Natural Language Understanding (NLU) Software Market Size by Country (2015-2020)
    • 9.4.1 Mexico
    • 9.4.2 Brazil

10 Southeast Asia

  • 10.1 Southeast Asia Natural Language Understanding (NLU) Software Market Size (2015-2026)
  • 10.2 Southeast Asia Natural Language Understanding (NLU) Software Market Size by Type (2015-2020)
  • 10.3 Southeast Asia Natural Language Understanding (NLU) Software Market Size by Application (2015-2020)
  • 10.4 Southeast Asia Natural Language Understanding (NLU) Software Market Size by Country (2015-2020)
    • 10.4.1 Turkey
    • 10.4.2 Saudi Arabia
    • 10.4.3 UAE
    • 10.4.4 Rest of Middle East & Africa

11 Key Players Profiles

  • 11.1 Microsoft
    • 11.1.1 Microsoft Company Details
    • 11.1.2 Microsoft Business Overview
    • 11.1.3 Microsoft Natural Language Understanding (NLU) Software Introduction
    • 11.1.4 Microsoft Revenue in Natural Language Understanding (NLU) Software Business (2015-2020))
    • 11.1.5 Microsoft Recent Development
  • 11.2 AWS
    • 11.2.1 AWS Company Details
    • 11.2.2 AWS Business Overview
    • 11.2.3 AWS Natural Language Understanding (NLU) Software Introduction
    • 11.2.4 AWS Revenue in Natural Language Understanding (NLU) Software Business (2015-2020)
    • 11.2.5 AWS Recent Development
  • 11.3 FuzzyWuzzy
    • 11.3.1 FuzzyWuzzy Company Details
    • 11.3.2 FuzzyWuzzy Business Overview
    • 11.3.3 FuzzyWuzzy Natural Language Understanding (NLU) Software Introduction
    • 11.3.4 FuzzyWuzzy Revenue in Natural Language Understanding (NLU) Software Business (2015-2020)
    • 11.3.5 FuzzyWuzzy Recent Development
  • 11.4 PyNLPl
    • 11.4.1 PyNLPl Company Details
    • 11.4.2 PyNLPl Business Overview
    • 11.4.3 PyNLPl Natural Language Understanding (NLU) Software Introduction
    • 11.4.4 PyNLPl Revenue in Natural Language Understanding (NLU) Software Business (2015-2020)
    • 11.4.5 PyNLPl Recent Development
  • 11.5 Stanford CoreNLP
    • 11.5.1 Stanford CoreNLP Company Details
    • 11.5.2 Stanford CoreNLP Business Overview
    • 11.5.3 Stanford CoreNLP Natural Language Understanding (NLU) Software Introduction
    • 11.5.4 Stanford CoreNLP Revenue in Natural Language Understanding (NLU) Software Business (2015-2020)
    • 11.5.5 Stanford CoreNLP Recent Development
  • 11.6 IBM
    • 11.6.1 IBM Company Details
    • 11.6.2 IBM Business Overview
    • 11.6.3 IBM Natural Language Understanding (NLU) Software Introduction
    • 11.6.4 IBM Revenue in Natural Language Understanding (NLU) Software Business (2015-2020)
    • 11.6.5 IBM Recent Development
  • 11.7 spaCy
    • 11.7.1 spaCy Company Details
    • 11.7.2 spaCy Business Overview
    • 11.7.3 spaCy Natural Language Understanding (NLU) Software Introduction
    • 11.7.4 spaCy Revenue in Natural Language Understanding (NLU) Software Business (2015-2020)
    • 11.7.5 spaCy Recent Development
  • 11.8 Google
    • 11.8.1 Google Company Details
    • 11.8.2 Google Business Overview
    • 11.8.3 Google Natural Language Understanding (NLU) Software Introduction
    • 11.8.4 Google Revenue in Natural Language Understanding (NLU) Software Business (2015-2020)
    • 11.8.5 Google Recent Development
  • 11.9 openNLP
    • 11.9.1 openNLP Company Details
    • 11.9.2 openNLP Business Overview
    • 11.9.3 openNLP Natural Language Understanding (NLU) Software Introduction
    • 11.9.4 openNLP Revenue in Natural Language Understanding (NLU) Software Business (2015-2020)
    • 11.9.5 openNLP Recent Development
  • 11.10 MALLET
    • 11.10.1 MALLET Company Details
    • 11.10.2 MALLET Business Overview
    • 11.10.3 MALLET Natural Language Understanding (NLU) Software Introduction
    • 11.10.4 MALLET Revenue in Natural Language Understanding (NLU) Software Business (2015-2020)
    • 11.10.5 MALLET Recent Development
  • 11.11 NLTK
    • 10.11.1 NLTK Company Details
    • 10.11.2 NLTK Business Overview
    • 10.11.3 NLTK Natural Language Understanding (NLU) Software Introduction
    • 10.11.4 NLTK Revenue in Natural Language Understanding (NLU) Software Business (2015-2020)
    • 10.11.5 NLTK Recent Development
  • 11.12 Synthesys
    • 10.12.1 Synthesys Company Details
    • 10.12.2 Synthesys Business Overview
    • 10.12.3 Synthesys Natural Language Understanding (NLU) Software Introduction
    • 10.12.4 Synthesys Revenue in Natural Language Understanding (NLU) Software Business (2015-2020)
    • 10.12.5 Synthesys Recent Development
  • 11.13 Kapiche
    • 10.13.1 Kapiche Company Details
    • 10.13.2 Kapiche Business Overview
    • 10.13.3 Kapiche Natural Language Understanding (NLU) Software Introduction
    • 10.13.4 Kapiche Revenue in Natural Language Understanding (NLU) Software Business (2015-2020)
    • 10.13.5 Kapiche Recent Development
  • 11.14 Wordsmith
    • 10.14.1 Wordsmith Company Details
    • 10.14.2 Wordsmith Business Overview
    • 10.14.3 Wordsmith Natural Language Understanding (NLU) Software Introduction
    • 10.14.4 Wordsmith Revenue in Natural Language Understanding (NLU) Software Business (2015-2020)
    • 10.14.5 Wordsmith Recent Development

12 Analyst's Viewpoints/Conclusions

    13 Appendix

    • 13.1 Research Methodology
      • 13.1.1 Methodology/Research Approach
      • 13.1.2 Data Source
    • 13.2 Disclaimer

    Natural Language Understanding (NLU) Software market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Natural Language Understanding (NLU) Software market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.

    Market segment by Type, the product can be split into
    Machine Translation
    Information Extraction
    Automatic Summarization
    Text and Voice Processing
    Other

    Market segment by Application, split into
    BFSI
    Healthcare
    Other

    Based on regional and country-level analysis, the Natural Language Understanding (NLU) Software market has been segmented as follows:
    North America
    United States
    Canada
    Europe
    Germany
    France
    U.K.
    Italy
    Russia
    Nordic
    Rest of Europe
    Asia-Pacific
    China
    Japan
    South Korea
    Southeast Asia
    India
    Australia
    Rest of Asia-Pacific
    Latin America
    Mexico
    Brazil
    Middle East & Africa
    Turkey
    Saudi Arabia
    UAE
    Rest of Middle East & Africa

    In the competitive analysis section of the report, leading as well as prominent players of the global Natural Language Understanding (NLU) Software market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2015-2020.
    The key players covered in this study
    Microsoft
    AWS
    FuzzyWuzzy
    PyNLPl
    Stanford CoreNLP
    IBM
    spaCy
    Google
    openNLP
    MALLET
    NLTK
    Synthesys
    Kapiche

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