HOME Top Market Reports Natural Language Generation (NLG) Market by Application (CEM, Fraud Detection & Anti-money laundering), Component (Software & Services), Business Function, Deployment Model, Organization Size, Industry Vertical, and Region - Global Forecast to 2023

Natural Language Generation (NLG) Market by Application (CEM, Fraud Detection & Anti-money laundering), Component (Software & Services), Business Function, Deployment Model, Organization Size, Industry Vertical, and Region - Global Forecast to 2023

By: marketsandmarkets.com
Publishing Date: May 2018
Report Code: TC 6272

 

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The natural language generation market was valued at USD 277.2 Million in 2017 and is expected to reach USD 825.3 Million by 2023, at a Compound Annual Growth Rate (CAGR) of 20.8% during the forecast period. The base year considered for this report is 2017, and the market forecast period is 2018–2023. Major factors expected to drive the market include a strong need to understand customers’ behavior and the proliferation of big data and related technologies.

Objectives of the Study

The main objective of the report is to define, describe, and forecast the global natural language generation market by component (software and services), application, business function, deployment model, organization size, industry vertical, and region. The report provides detailed information regarding the major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the growth of the market. The report aims at strategically analyzing micromarkets with respect to the individual growth trends, prospects, and contributions to the total market. The report attempts to forecast the market size with respect to 5 main regions, namely, North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America. The report strategically profiles the key players of the market and comprehensively analyzes their core competencies. It also tracks and analyzes competitive developments, such as partnerships, collaborations, and agreements, mergers and acquisitions, new product launches and new product developments, and Research and Development (R&D) activities in the market.

Research Methodology

The research methodology used to estimate and forecast the natural language generation market began with capturing data on key vendors’ revenues through secondary research that includes directories and databases (D&B Hoovers, Bloomberg Businessweek, and Factiva). Vendors’ offerings are also taken into consideration to determine the market segmentation. The bottom-up procedure was employed to arrive at the overall market size of the global market. This procedure was derived from the revenues of the key players in the market. After arriving at the overall market size, the total market was split into several segments and subsegments, which were then verified through primary research by conducting extensive interviews with key people, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), directors, and executives. The data triangulation and market breakdown procedures were employed to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments. The breakdown of profiles of the primary participants is depicted in the figure below:

Natural Language Generation (NLG) Market

To know about the assumptions considered for the study, download the pdf brochure

The natural language generation ecosystem comprises vendors, such as Arria NLG (UK), Yseop (France), Narrative Science (US), Automated Insights (US), Retresco (Germany), CoGenTex (US), Phrasetech (Israel), Veritone (US), NewsRx (US), Conversica (US), Narrtiva (UAE), 2txt – natural language generation GmbH (Germany), AX Semantics (Germany), AWS (US), IBM (US), NarrativeWave (US), Artificial Solutions (Spain), vPhrase (India), Linguastat (US), Textual Relations (Sweden), and Phrasee (UK). Other stakeholders of the natural language generation market include research organizations, network and system integrators, natural language generation managed service providers, Business Intelligence (BI) solution providers, marketing analytics executives, third-party providers, and technology providers.

Key Target Audience:

  • Service providers and distributors
  • Natural language generation application builders
  • Independent Software Vendors (ISVs)
  • Analytics consulting companies
  • Enterprises
  • End-users

“The study answers several questions for stakeholders, primarily which market segments to focus on in the next 2–5 years for prioritizing efforts and investments.”

Scope of the Report

The research report categorizes the natural language generation market to forecast the revenues and analyze the trends in each of the following subsegments:

By Component

  • Software
  • Services
    • Managed services
    • Professional services
      • Consulting services
      • Training and Support

By Application

  • Customer Experience Management (CEM)
  • Fraud Detection and Anti-money Laundering
  • Risk and Compliance Management
  • Performance Management
  • Predictive Maintenance
  • Others (Weather Forecasting and Forensics)

By Business Function

  • Finance
  • Legal
  • Operations
  • HR
  • Marketing and Sales

By Deployment Model

  • On-premises
  • Cloud

By Organization Size

  • Small and Medium-sized Enterprises (SMEs)
  • Large enterprises

By Industry Vertical

  • Banking, Financial Services, and Insurance (BFSI)
  • Retail and eCommerce
  • Government and Defense
  • Healthcare and Life Sciences
  • Manufacturing
  • Energy and Utilities
  • Telecom and IT
  • Media and Entertainment
  • Others (Research, Travel and Hospitality, and Real Estate)

By Region

  • North America
  • Europe
  • Asia Pacific (APAC)
  • Middle East and Africa (MEA)
  • Latin America

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix gives a detailed comparison of the product portfolio of each company

Company Information

  • Detailed analysis and profiling of additional market players up to 5.

Table of Contents

1 Introduction (Page No. - 18)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
           1.3.1 Regional Scope
    1.4 Years Considered for the Study
    1.5 Currency
    1.6 Stakeholders

2 Research Methodology (Page No. - 21)
    2.1 Research Data
           2.1.1 Secondary Data
           2.1.2 Primary Data
                    2.1.2.1 Breakdown of Primaries
                    2.1.2.2 Key Industry Insights
    2.2 Market Size Estimation
           2.2.1 Bottom-Up Approach
           2.2.2 Top-Down Approach
    2.3 Research Assumptions
    2.4 Limitations

3 Executive Summary (Page No. - 28)

4 Premium Insights (Page No. - 33)
    4.1 Attractive Market Opportunities in the Natural Language Generation Market
    4.2 Market By Industry Vertical and Region
    4.3 Investment Opportunities in the Market

5 Market Overview and Industry Trends (Page No. - 36)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Strong Need to Understand Customers’ Behavior
                    5.2.1.2 Proliferation of Big Data and the Related Technologies
           5.2.2 Restraints
                    5.2.2.1 Lack of Skilled Consultants to Deploy NLG Solutions and Services
           5.2.3 Opportunities
                    5.2.3.1 Emerging Options in Application Areas
                    5.2.3.2 Increasing Demand for Intelligent Business Processes
           5.2.4 Challenges
                    5.2.4.1 Lack of Awareness of NLG Solutions
                    5.2.4.2 Data Security and Quality Issues
    5.3 Industry Trends
           5.3.1 Use Cases
                    5.3.1.1 Introduction
                    5.3.1.2 Use Case: NLG Solutions Increased the Efficiency of Creating and Iterating Detection Models
                    5.3.1.3 Use Case: Increase in Efficiency of Report Generation With NLG Solutions
                    5.3.1.4 Use Case: Ease of Business Processes With NLG Solutions
                    5.3.1.5 Use Case: Development of A Conversational Tool With NLG Platform
    5.4 Best Practices to Be Followed in Natural Language Generation
    5.5 Regulatory Implications
           5.5.1 Sarbanes-Oxley Act of 2002
           5.5.2 General Data Protection Regulation
           5.5.3 Basel

6 Natural Language Generation Market, By Component (Page No. - 43)
    6.1 Introduction
    6.2 Software
    6.3 Services
           6.3.1 Managed Services
           6.3.2 Professional Services
                    6.3.2.1 Training and Support
                    6.3.2.2 Consulting Services

7 Natural Language Generation Market, By Application (Page No. - 51)
    7.1 Introduction
    7.2 Fraud Detection and Anti-Money Laundering
    7.3 Predictive Maintenance
    7.4 Risk and Compliance Management
    7.5 Customer Experience Management
    7.6 Others

8 Market  By Business Function (Page No. - 57)
    8.1 Introduction
    8.2 Finance
    8.3 Legal
    8.4 Marketing and Sales
    8.5 Operations
    8.6 Human Resources

9 Natural Language Generation Market,  By Deployment Model (Page No. - 63)
    9.1 Introduction
    9.2 On-Premises
    9.3 Cloud

10 Market  By Organization Size (Page No. - 67)
     10.1 Introduction
     10.2 Small and Medium-Sized Enterprises
     10.3 Large Enterprises

11 Natural Language Generation Market,  By Industry Vertical (Page No. - 71)
     11.1 Introduction
     11.2 Banking, Financial Services, and Insurance
     11.3 Retail and Ecommerce
     11.4 Government and Defence
     11.5 Healthcare and Life Sciences
     11.6 Manufacturing
     11.7 Telecom and IT
     11.8 Media and Entertainment
     11.9 Energy and Utilities
     11.1 Others

12 Natural Language Generation Market, By Region (Page No. - 80)
     12.1 Introduction
     12.2 North America
             12.2.1 By Country
                       12.2.1.1 United States
                       12.2.1.2 Canada
             12.2.2 By Component
             12.2.3 By Application
             12.2.4 By Business Function
             12.2.5 By Deployment Model
             12.2.6 By Organization Size
             12.2.7 By Industry Vertical
     12.3 Europe
             12.3.1 By Country
                       12.3.1.1 Germany
                       12.3.1.2 France
                       12.3.1.3 United Kingdom
                       12.3.1.4 Rest of Europe
             12.3.2 By Component
             12.3.3 By Application
             12.3.4 By Business Function
             12.3.5 By Deployment Model
             12.3.6 By Organization Size
             12.3.7 By Industry Vertical
     12.4 Asia Pacific
             12.4.1 By Country
                       12.4.1.1 China
                       12.4.1.2 Japan
                       12.4.1.3 South Korea
                       12.4.1.4 India
                       12.4.1.5 Rest of APAC
             12.4.2 By Component
             12.4.3 By Application
             12.4.4 By Business Function
             12.4.5 By Deployment Model
             12.4.6 By Organization Size
             12.4.7 By Industry Vertical
     12.5 Latin America
             12.5.1 By Country
                       12.5.1.1 Brazil
                       12.5.1.2 Mexico
                       12.5.1.3 Rest of Latin America
             12.5.2 By Component
             12.5.3 By Application
             12.5.4 By Business Function
             12.5.5 By Deployment Model
             12.5.6 By Organization Size
             12.5.7 By Industry Vertical
     12.6 Middle East and Africa
             12.6.1 By Country
                       12.6.1.1 Kingdom of Saudi Arabia
                       12.6.1.2 UAE
                       12.6.1.3 South Africa
                       12.6.1.4 Rest of Mea
             12.6.2 By Component
             12.6.3 By Application
             12.6.4 By Business Function
             12.6.5 By Deployment Model
             12.6.6 By Organization Size
             12.6.7 By Industry Vertical

13 Competitive Landscape (Page No. - 108)
     13.1 Overview
     13.2 Prominent Players Operating in the Natural Language Generation Market
     13.3 Competitive Situations and Trends
             13.3.1 Partnerships, Agreements, and Collaborations
             13.3.2 New Product Launches
             13.3.3 Acquisitions

14 Company Profiles (Page No. - 113)
     14.1 Arria NLG
(Business Overview, Solutions Offered, Recent Developments, SWOT Analysis, and MnM View)*
     14.2 AWS
     14.3 IBM
     14.4 Narrative Science
     14.5 Automated Insights
     14.6 Narrativa
     14.7 Yseop
     14.8 Retresco
     14.9 Artificial Solutions
     14.10 Phrasee
     14.11 AX Semantics
     14.12 CoGenTex
     14.13 Phrasetech
     14.14 NewsRx
     14.15 Conversica
     14.16 2txt – Natural Language Generation GmbH.
     14.17 NarrativeWave
     14.18 vPhrase
     14.19 Linguastat
     14.20 Textual Relations

*Details on Business Overview, Solutions Offered, Recent Developments, SWOT Analysis, and MnM View Might Not Be Captured in Case of Unlisted Companies.

15 Appendix (Page No. - 145)
     15.1 Insights of Industry Experts
     15.2 Discussion Guide
     15.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     15.4 Introducing RT: Real-Time Market Intelligence
     15.5 Available Customization
     15.6 Related Reports
     15.7 Author Details

 

List of Tables (87 Tables)

Table 1 United States Dollar Exchange Rate, 2014–2017
Table 2 Natural Language Generation Market Size, By Component, 2016–2023 (USD Million)
Table 3 Software: Market Size By Region, 2016–2023 (USD Million)
Table 4 Services: Market Size By Region, 2016–2023 (USD Million)
Table 5 Services: Market Size By Type, 2016–2023 (USD Million)
Table 6 Managed Services: Market Size By Region, 2016–2023 (USD Million)
Table 7 Professional Services: Market Size By Region, 2016–2023 (USD Million)
Table 8 Professional Services: Market Size By Type, 2016–2023 (USD Million)
Table 9 Training and Support Market Size, By Region, 2016–2023 (USD Million)
Table 10 Consulting Services Market Size, By Region, 2016–2023 (USD Million)
Table 11 Natural Language Generation Market Size, By Application, 2016–2023 (USD Million)
Table 12 Fraud Detection and Anti-Money Laundering: Market Size By Region, 2016–2023 (USD Million)
Table 13 Predictive Maintenance: Market Size By Region, 2016–2023 (USD Million)
Table 14 Risk and Compliance Management: Market Size By Region, 2016–2023 (USD Million)
Table 15 Customer Experience Management: Market Size By Region, 2016–2023 (USD Million)
Table 16 Others: Market Size By Region, 2016–2023 (USD Million)
Table 17 Natural Language Generation Market Size, By Business Function,  2016–2023 (USD Million)
Table 18 Finance: Market Size By Region, 2016–2023 (USD Million)
Table 19 Legal: Market Size By Region, 2016–2023 (USD Million)
Table 20 Marketing and Sales: Market Size By Region, 2016–2023 (USD Million)
Table 21 Operations: Market Size By Region,  2016–2023 (USD Million)
Table 22 Human Resources: Market Size, By Region, 2016–2023 (USD Million)
Table 23 Natural Language Generation Market Size, By Deployment Model,  2016–2023 (USD Million)
Table 24 On-Premises: Market Size By Region,  2016–2023 (USD Million)
Table 25 Cloud: Market Size By Region, 2016–2023 (USD Million)
Table 26 Natural Language Generation Market Size, By Organization Size, 2016–2023 (USD Million)
Table 27 Small and Medium-Sized Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 28 Large Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 29 Natural Language Generation Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 30 Banking, Financial Services, and Insurance: Market Size By Region, 2016–2023 (USD Million)
Table 31 Retail and Ecommerce: Market Size By Region, 2016–2023 (USD Million)
Table 32 Government and Defense: Market Size  By Region, 2016–2023 (USD Million)
Table 33 Healthcare and Life Sciences: Market Size  By Region, 2016–2023 (USD Million)
Table 34 Manufacturing: Market Size By Region,  2016–2023 (USD Million)
Table 35 Telecom and IT: Market Size By Region,  2016–2023 (USD Million)
Table 36 Media and Entertainment: Market Size  By Region, 2016–2023 (USD Million)
Table 37 Energy and Utilities: Market Size By Region, 2016–2023 (USD Million)
Table 38 Others: Market Size By Region, 2016–2023 (USD Million)
Table 39 Natural Language Generation Market Size, By Region, 2016–2023 (USD Million)
Table 40 North America: Market Size By Country,  2016–2023 (USD Million)
Table 41 North America: Market Size By Component,  2016–2023 (USD Million)
Table 42 North America: Market Size By Service,  2016–2023 (USD Million)
Table 43 North America: Market Size By Professional Service, 2016–2023 (USD Million)
Table 44 North America: Market Size By Application,  2016–2023 (USD Million)
Table 45 North America: Market Size By Business Function, 2016–2023 (USD Million)
Table 46 North America: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 47 North America: Market Size By Organization Size, 2016–2023 (USD Million)
Table 48 North America: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 49 Europe: Natural Language Generation Market Size, By Country, 2016–2023 (USD Million)
Table 50 Europe: Market Size By Component,  2016–2023 (USD Million)
Table 51 Europe: Market Size By Service, 2016–2023 (USD Million)
Table 52 Europe: Market Size By Professional Service, 2016–2023 (USD Million)
Table 53 Europe: Market Size By Application,  2016–2023 (USD Million)
Table 54 Europe: Market Size By Business Function,  20162023 (USD Million)
Table 55 Europe: Market Size By Deployment Model,  2016–2023 (USD Million)
Table 56 Europe: Market Size By Organization Size,  2016–2023 (USD Million)
Table 57 Europe: Market Size By Industry Vertical,  2015–2022 (USD Million)
Table 58 Asia Pacific: Natural Language Generation Market Size, By Country,  2016–2023 (USD Million)
Table 59 Asia Pacific: Market Size By Component,  2015–2022 (USD Million)
Table 60 Asia Pacific: Market Size By Service,  2016–2023 (USD Million)
Table 61 Asia Pacific: Market Size By Professional Service, 2016–2023 (USD Million)
Table 62 Asia Pacific: Market Size By Application,  2016–2023 (USD Million)
Table 63 Asia Pacific: Market Size By Business Function, 2016–2023 (USD Million)
Table 64 Asia Pacific: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 65 Asia Pacific: Market SizeBy Organization Size, 2016–2023 (USD Million)
Table 66 Asia Pacific: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 67 Latin America: Natural Language Generation Market Size, By Country,  2016–2023 (USD Million)
Table 68 Latin America: Market Size By Component,  2016–2023 (USD Million)
Table 69 Latin America: Market Size By Service,  2016–2023 (USD Million)
Table 70 Latin America: Market Size By Professional Service, 2016–2023 (USD Million)
Table 71 Latin America: Market Size By Application,  2016–2023 (USD Million)
Table 72 Latin America: Market Size By Business Function, 2016–2023 (USD Million)
Table 73 Latin America: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 74 Latin America: Market Size By Organization Size, 2016–2023 (USD Million)
Table 75 Latin America: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 76 Middle East and Africa: Natural Language Generation Market Size, By Country, 2016–2023 (USD Million)
Table 77 Middle East and Africa: Market Size By Component, 2016–2023 (USD Million)
Table 78 Middle East and Africa: Market Size By Service, 2016–2023 (USD Million)
Table 79 Middle East and Africa: Market Size By Professional Service, 2016–2023 (USD Million)
Table 80 Middle East and Africa: Market Size By Application, 2016–2023 (USD Million)
Table 81 Middle East and Africa: Market Size By Business Function, 2016–2023 (USD Million)
Table 82 Middle East and Africa: Market Size By Deployment Model, 2016–2023 (USD Million)
Table 83 Middle East and Africa: Market Size By Organization Size, 2016–2023 (USD Million)
Table 84 Middle East and Africa: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 85 Partnerships, Agreements, and Collaborations, 2016–2018
Table 86 New Product Launches, 2015–2017
Table 87 Acquisitions, 2016–2018
 
 
List of Figures (35 Figures)
 
Figure 1 Natural Language Generation Market Segmentation
Figure 2 Market Research Design
Figure 3 Breakdown of Primary Interviews: By Company, Designation, and Region
Figure 4 Data Triangulation
Figure 5 Market Size Estimation Methodology: Bottom-Up Approach
Figure 6 Market Size Estimation Methodology: Top-Down Approach
Figure 7 Natural Language Generation Market: Assumptions
Figure 8 Natural Language Generation Market is Expected to Witness A High Growth During the Forecast Period
Figure 9 Market By Component (2018 vs 2023)
Figure 10 Market By Business Function (2018–2023)
Figure 11 Market By Deployment Model (2018–2023)
Figure 12 Market By Organization Size (2018–2023)
Figure 13 Market By Application (2018–2023)
Figure 14 Market By Industry Vertical (2018 vs 2023)
Figure 15 Organizations’ Increasing Need to Understand Customers’ Behavior is Expected to Be the Major Factor Contributing to the Growth of the NLG Market
Figure 16 North America is Estimated to Have the Largest Market Share in 2018
Figure 17 Retail and Ecommerce Industry Vertical and North American Region are Estimated to Have the Largest Market Shares in 2018
Figure 18 Asia Pacific is Expected to Pose the Best Investment Opportunity During the Forecast Period
Figure 19 Natural Language Generation Market: Drivers, Restraints, Opportunities, and Challenges
Figure 20 Services Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 21 Managed Services Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 22 Training and Support Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 23 Customer Experience Management Application is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 24 Operations Segment is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 25 Cloud Deployment Model is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 26 Small and Medium-Sized Enterprises Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 27 Manufacturing Industry Vertical is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 28 Asia Pacific is Expected to Grow at the Highest CAGR in the Natural Language Generation Market During the Forecast Period
Figure 29 North America: Market Snapshot
Figure 30 Asia Pacific: Market Snapshot
Figure 31 Key Developments By the Leading Players in the Natural Language Genration Market During 2014–2018
Figure 32 Market Evaluation Framework
Figure 33 Arria NLG: Company Snapshot
Figure 34 AWS: Company Snapshot
Figure 35 IBM Corporation: Company Snapshot

The natural language generation market is expected to grow from USD 322.1 Million in 2018 to USD 825.3 Million by 2023, at a Compound Annual Growth Rate (CAGR) of 20.8% during the forecast period. Factors such as the increasing business need to understand customers’ behavior is expected to drive the global market.

Globalization has led to the expansion of businesses. The businesses’ potential to connect to new customers result in the generation of huge business data volumes from various sources worldwide. The implementation of the NLG software and associated Artificial Intelligence (AI) tools can help manage and utilize huge volumes of data properly. The report provides detailed insights into the global market that is segmented on the basis of applications, components, business functions, deployment models, organization size, industry verticals, and regions. Among applications, the Customer Experience Management (CEM) segment is expected to have the largest market size during the forecast period. Customer experience is one of the most important priorities for organizations; therefore, these organizations focus on maintaining positive relationships with their customers to understand their needs for building better NLG software and services. Relationship building with existing and new customers is a major factor driving the adoption of NLG software and services. However, data security and quality issues, along with the lack of awareness of these software and services, are some of the challenges of the market.

The large enterprises segment is expected to continue to dominate the market. Whereas Small and Medium-sized Enterprises (SMEs) are swiftly advancing toward the adoption of cloud-based NLG solutions that help the SMEs improve their operational efficiency, streamline operations, and enhance the existing customers’ experience. The cloud deployment model is expected to exhibit a higher adoption rate, due to the rising demand for 24*7 availability of accessible information and low-cost maintenance services. The retail and eCommerce industry vertical is expected to have the largest market share and lead the market during the forecast period. The product description and targeting the right audience through various marketing campaigns are major factors driving the adoption of NLG software and services in the market. The is observed in healthcare and life sciences and Banking, Financial Services, and Insurance (BFSI) industry verticals, as these software and services automate report generations with minimum human interference, resulting in saving the time and money.

Natural Language Generation (NLG) Market

The report covers all the major aspects of the natural language generation market and provides an in-depth analysis for major countries across the regions of North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America. North America is estimated to have the largest market size in 2018, followed by Europe, owing to the technological upgradations and different regulations imposed over business operations in these regions. The APAC region is expected to grow at the highest CAGR during the forecast period, due to the growing adoption of NLG software and services. These software and services quickly explore vast volumes of business data and gain faster narrative insights.

NLG software and service providers have implemented various types of organic as well as inorganic growth strategies, including new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions, to expand their offerings in the market. Major vendors who offer NLG software and services include Arria NLG (UK), Yseop (U.S.), IBM (US), Automated Insights (US), Artificial Solutions (Spain), NarrativeWave (US), Narrative Science (US), Narrativa (UAE), Amazon Web Services (AWS) (US), Retresco (Germany), Phrasee Ltd. (UK), Conversica (Conversica) (US), Linguastat (US), NewsRx (US), vPhrase (India), Phrasetech (Israel), CoGenTex. (CoGenTex) (US), AX Semantics (Germany), Textual Relations (Sweden), and 2txt - natural language generation GmbH (2txt) (Germany).

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