Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Natural Language Understanding (NLU) Software Market by Type (Machine Translation, Information Extraction, Automatic Summarization, Text and Voice Processing, Other), By Application (BFSI, Healthcare, Other) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Natural Language Understanding (NLU) Software Market by Type (Machine Translation, Information Extraction, Automatic Summarization, Text and Voice Processing, Other), By Application (BFSI, Healthcare, Other) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 252735 4200 Service & Software 377 243 Pages 4.9 (48)
                                          

Market Overview:


The global natural language understanding (NLU) software market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for NLU software from various end-user industries, such as BFSI, healthcare, and others. Additionally, the growing demand for text and voice processing applications is also contributing to the growth of this market. However, lack of awareness about NLU software among end-users may restrain the growth of this market during the forecast period.


Global Natural Language Understanding (NLU) Software Industry Outlook


Product Definition:


NLU software is used to help computers interpret human language. This can be important for a variety of tasks, such as customer service, where it can be used to automatically interpret and respond to customer inquiries, or in machine learning applications where the computer needs to understand the text data in order to learn from it.


Machine Translation:


Machine translation is a computer-assisted process of converting human language to machine language. The whole process is based on the principle that two languages have similar structures and grammars, so it's easier for a computer program to translate one language into another. Machine translation software works on the basis of statistical analysis, which helps in determining the similarities and differences between two languages.


Information Extraction:


The Information Extraction (IE) technology is used in the NLU software to extract information from unstructured text. The technology helps in categorizing the content, extracting data, and relationships within that content. It also extracts useful insights from that data for use by the NLU software.


Application Insights:


The BFSI sector dominated the global natural language understanding software market in 2017. NLU solutions are widely used in banking, financial services, and insurance (BFSI) to process unstructured data such as text, audio & video files, images into structured data. The adoption of these solutions is expected to increase with the growing need for processing large amounts of unstructured data including customer insights and feedback along with the rising demand for personalized services.


Healthcare is another prominent segment that uses natural language understanding technology extensively across all processes from research through diagnosis to treatment planning and beyond. Natural Language Processing (NLP) tools provide clinical professionals with a better picture of their patients¢â‚¬â„¢ health conditions by analyzing medical notes or patient transcripts captured during visits or phone calls with healthcare providers.


Regional Analysis:


North America dominated the global market in 2017. The growth of this region can be attributed to the presence of a large number of players and increased adoption of advanced technologies across various industries. Moreover, increasing demand for translation services by BFSI companies is expected to drive regional growth over the forecast period. Asia Pacific is expected to witness significant growth over the next eight years owing to increasing investments in artificial intelligence and natural language processing software providers from governments as well as private firms. Furthermore, rising use cases such as customer service automation are driving regional demand for NNLU software solutions.


The European market also contributed significantly towards overall revenue generation in 2017 owing with high adoption rates for emerging technologies such as machine learning.


Growth Factors:


  • Increasing demand for NLU software from various industry verticals
  • Growing demand for NLU software from small and medium businesses (SMBs)
  • Proliferation of big data and the need for better data analytics
  • Increased focus on customer experience by organizations
  • Advancements in artificial intelligence (AI) and machine learning

Scope Of The Report

Report Attributes

Report Details

Report Title

Natural Language Understanding (NLU) Software Market Research Report

By Type

Machine Translation, Information Extraction, Automatic Summarization, Text and Voice Processing, Other

By Application

BFSI, Healthcare, Other

By Companies

Microsoft, AWS, FuzzyWuzzy, PyNLPl, Stanford CoreNLP, IBM, spaCy, Google, openNLP, MALLET, NLTK, Synthesys, Kapiche, Wordsmith

Regions Covered

North America, Europe, APAC, Latin America, MEA

Base Year

2021

Historical Year

2019 to 2020 (Data from 2010 can be provided as per availability)

Forecast Year

2030

Number of Pages

243

Number of Tables & Figures

171

Customization Available

Yes, the report can be customized as per your need.


Global Natural Language Understanding (NLU) Software Market Report Segments:

The global Natural Language Understanding (NLU) Software market is segmented on the basis of:

Types

Machine Translation, Information Extraction, Automatic Summarization, Text and Voice Processing, Other

The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.

Applications

BFSI, Healthcare, Other

The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.

Some of the companies that are profiled in this report are:

  1. Microsoft
  2. AWS
  3. FuzzyWuzzy
  4. PyNLPl
  5. Stanford CoreNLP
  6. IBM
  7. spaCy
  8. Google
  9. openNLP
  10. MALLET
  11. NLTK
  12. Synthesys
  13. Kapiche
  14. Wordsmith

Global Natural Language Understanding (NLU) Software Market Overview


Highlights of The Natural Language Understanding (NLU) Software Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Machine Translation
    2. Information Extraction
    3. Automatic Summarization
    4. Text and Voice Processing
    5. Other
  1. By Application:

    1. BFSI
    2. Healthcare
    3. Other
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Natural Language Understanding (NLU) Software Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.

Regional Analysis

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.

The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.

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Global Natural Language Understanding (NLU) Software Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


Natural language understanding (NLU) software is a type of software that helps computers understand human speech. NLU software can be used to identify the meaning of words, phrases, and sentences in text or audio files.

Some of the major players in the natural language understanding (nlu) software market are Microsoft, AWS, FuzzyWuzzy, PyNLPl, Stanford CoreNLP, IBM, spaCy, Google, openNLP, MALLET, NLTK, Synthesys, Kapiche, Wordsmith.

The natural language understanding (nlu) software market is expected to grow at a compound annual growth rate of 16.5%.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Natural Language Understanding (NLU) Software Market Overview    4.1 Introduction       4.1.1 Market Taxonomy       4.1.2 Market Definition       4.1.3 Macro-Economic Factors Impacting the Market Growth    4.2 Natural Language Understanding (NLU) Software Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 Natural Language Understanding (NLU) Software Market - Supply Chain Analysis       4.3.1 List of Key Suppliers       4.3.2 List of Key Distributors       4.3.3 List of Key Consumers    4.4 Key Forces Shaping the Natural Language Understanding (NLU) Software Market       4.4.1 Bargaining Power of Suppliers       4.4.2 Bargaining Power of Buyers       4.4.3 Threat of Substitution       4.4.4 Threat of New Entrants       4.4.5 Competitive Rivalry    4.5 Global Natural Language Understanding (NLU) Software Market Size & Forecast, 2018-2028       4.5.1 Natural Language Understanding (NLU) Software Market Size and Y-o-Y Growth       4.5.2 Natural Language Understanding (NLU) Software Market Absolute $ Opportunity

Chapter 5 Global Natural Language Understanding (NLU) Software Market Analysis and Forecast by Type
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities by Type
      5.1.2 Basis Point Share (BPS) Analysis by Type
      5.1.3 Absolute $ Opportunity Assessment by Type
   5.2 Natural Language Understanding (NLU) Software Market Size Forecast by Type
      5.2.1 Machine Translation
      5.2.2 Information Extraction
      5.2.3 Automatic Summarization
      5.2.4 Text and Voice Processing
      5.2.5 Other
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global Natural Language Understanding (NLU) Software Market Analysis and Forecast by Applications
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities by Applications
      6.1.2 Basis Point Share (BPS) Analysis by Applications
      6.1.3 Absolute $ Opportunity Assessment by Applications
   6.2 Natural Language Understanding (NLU) Software Market Size Forecast by Applications
      6.2.1 BFSI
      6.2.2 Healthcare
      6.2.3 Other
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global Natural Language Understanding (NLU) Software Market Analysis and Forecast by Region
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities by Region
      7.1.2 Basis Point Share (BPS) Analysis by Region
      7.1.3 Absolute $ Opportunity Assessment by Region
   7.2 Natural Language Understanding (NLU) Software Market Size Forecast by Region
      7.2.1 North America
      7.2.2 Europe
      7.2.3 Asia Pacific
      7.2.4 Latin America
      7.2.5 Middle East & Africa (MEA)
   7.3 Market Attractiveness Analysis by Region

Chapter 8 Coronavirus Disease (COVID-19) Impact 
   8.1 Introduction 
   8.2 Current & Future Impact Analysis 
   8.3 Economic Impact Analysis 
   8.4 Government Policies 
   8.5 Investment Scenario

Chapter 9 North America Natural Language Understanding (NLU) Software Analysis and Forecast
   9.1 Introduction
   9.2 North America Natural Language Understanding (NLU) Software Market Size Forecast by Country
      9.2.1 U.S.
      9.2.2 Canada
   9.3 Basis Point Share (BPS) Analysis by Country
   9.4 Absolute $ Opportunity Assessment by Country
   9.5 Market Attractiveness Analysis by Country
   9.6 North America Natural Language Understanding (NLU) Software Market Size Forecast by Type
      9.6.1 Machine Translation
      9.6.2 Information Extraction
      9.6.3 Automatic Summarization
      9.6.4 Text and Voice Processing
      9.6.5 Other
   9.7 Basis Point Share (BPS) Analysis by Type 
   9.8 Absolute $ Opportunity Assessment by Type 
   9.9 Market Attractiveness Analysis by Type
   9.10 North America Natural Language Understanding (NLU) Software Market Size Forecast by Applications
      9.10.1 BFSI
      9.10.2 Healthcare
      9.10.3 Other
   9.11 Basis Point Share (BPS) Analysis by Applications 
   9.12 Absolute $ Opportunity Assessment by Applications 
   9.13 Market Attractiveness Analysis by Applications

Chapter 10 Europe Natural Language Understanding (NLU) Software Analysis and Forecast
   10.1 Introduction
   10.2 Europe Natural Language Understanding (NLU) Software Market Size Forecast by Country
      10.2.1 Germany
      10.2.2 France
      10.2.3 Italy
      10.2.4 U.K.
      10.2.5 Spain
      10.2.6 Russia
      10.2.7 Rest of Europe
   10.3 Basis Point Share (BPS) Analysis by Country
   10.4 Absolute $ Opportunity Assessment by Country
   10.5 Market Attractiveness Analysis by Country
   10.6 Europe Natural Language Understanding (NLU) Software Market Size Forecast by Type
      10.6.1 Machine Translation
      10.6.2 Information Extraction
      10.6.3 Automatic Summarization
      10.6.4 Text and Voice Processing
      10.6.5 Other
   10.7 Basis Point Share (BPS) Analysis by Type 
   10.8 Absolute $ Opportunity Assessment by Type 
   10.9 Market Attractiveness Analysis by Type
   10.10 Europe Natural Language Understanding (NLU) Software Market Size Forecast by Applications
      10.10.1 BFSI
      10.10.2 Healthcare
      10.10.3 Other
   10.11 Basis Point Share (BPS) Analysis by Applications 
   10.12 Absolute $ Opportunity Assessment by Applications 
   10.13 Market Attractiveness Analysis by Applications

Chapter 11 Asia Pacific Natural Language Understanding (NLU) Software Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific Natural Language Understanding (NLU) Software Market Size Forecast by Country
      11.2.1 China
      11.2.2 Japan
      11.2.3 South Korea
      11.2.4 India
      11.2.5 Australia
      11.2.6 South East Asia (SEA)
      11.2.7 Rest of Asia Pacific (APAC)
   11.3 Basis Point Share (BPS) Analysis by Country
   11.4 Absolute $ Opportunity Assessment by Country
   11.5 Market Attractiveness Analysis by Country
   11.6 Asia Pacific Natural Language Understanding (NLU) Software Market Size Forecast by Type
      11.6.1 Machine Translation
      11.6.2 Information Extraction
      11.6.3 Automatic Summarization
      11.6.4 Text and Voice Processing
      11.6.5 Other
   11.7 Basis Point Share (BPS) Analysis by Type 
   11.8 Absolute $ Opportunity Assessment by Type 
   11.9 Market Attractiveness Analysis by Type
   11.10 Asia Pacific Natural Language Understanding (NLU) Software Market Size Forecast by Applications
      11.10.1 BFSI
      11.10.2 Healthcare
      11.10.3 Other
   11.11 Basis Point Share (BPS) Analysis by Applications 
   11.12 Absolute $ Opportunity Assessment by Applications 
   11.13 Market Attractiveness Analysis by Applications

Chapter 12 Latin America Natural Language Understanding (NLU) Software Analysis and Forecast
   12.1 Introduction
   12.2 Latin America Natural Language Understanding (NLU) Software Market Size Forecast by Country
      12.2.1 Brazil
      12.2.2 Mexico
      12.2.3 Rest of Latin America (LATAM)
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 Latin America Natural Language Understanding (NLU) Software Market Size Forecast by Type
      12.6.1 Machine Translation
      12.6.2 Information Extraction
      12.6.3 Automatic Summarization
      12.6.4 Text and Voice Processing
      12.6.5 Other
   12.7 Basis Point Share (BPS) Analysis by Type 
   12.8 Absolute $ Opportunity Assessment by Type 
   12.9 Market Attractiveness Analysis by Type
   12.10 Latin America Natural Language Understanding (NLU) Software Market Size Forecast by Applications
      12.10.1 BFSI
      12.10.2 Healthcare
      12.10.3 Other
   12.11 Basis Point Share (BPS) Analysis by Applications 
   12.12 Absolute $ Opportunity Assessment by Applications 
   12.13 Market Attractiveness Analysis by Applications

Chapter 13 Middle East & Africa (MEA) Natural Language Understanding (NLU) Software Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA) Natural Language Understanding (NLU) Software Market Size Forecast by Country
      13.2.1 Saudi Arabia
      13.2.2 South Africa
      13.2.3 UAE
      13.2.4 Rest of Middle East & Africa (MEA)
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Middle East & Africa (MEA) Natural Language Understanding (NLU) Software Market Size Forecast by Type
      13.6.1 Machine Translation
      13.6.2 Information Extraction
      13.6.3 Automatic Summarization
      13.6.4 Text and Voice Processing
      13.6.5 Other
   13.7 Basis Point Share (BPS) Analysis by Type 
   13.8 Absolute $ Opportunity Assessment by Type 
   13.9 Market Attractiveness Analysis by Type
   13.10 Middle East & Africa (MEA) Natural Language Understanding (NLU) Software Market Size Forecast by Applications
      13.10.1 BFSI
      13.10.2 Healthcare
      13.10.3 Other
   13.11 Basis Point Share (BPS) Analysis by Applications 
   13.12 Absolute $ Opportunity Assessment by Applications 
   13.13 Market Attractiveness Analysis by Applications

Chapter 14 Competition Landscape 
   14.1 Natural Language Understanding (NLU) Software Market: Competitive Dashboard
   14.2 Global Natural Language Understanding (NLU) Software Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.3.1 Microsoft
      14.3.2 AWS
      14.3.3 FuzzyWuzzy
      14.3.4 PyNLPl
      14.3.5 Stanford CoreNLP
      14.3.6 IBM
      14.3.7 spaCy
      14.3.8 Google
      14.3.9 openNLP
      14.3.10 MALLET
      14.3.11 NLTK
      14.3.12 Synthesys
      14.3.13 Kapiche
      14.3.14 Wordsmith

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