| Product Code: ETC4399802 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 |
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 United States (US) Natural Language Generation (NLG) Market Overview |
3.1 United States (US) Country Macro Economic Indicators |
3.2 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, 2021 & 2031F |
3.3 United States (US) Natural Language Generation (NLG) Market - Industry Life Cycle |
3.4 United States (US) Natural Language Generation (NLG) Market - Porter's Five Forces |
3.5 United States (US) Natural Language Generation (NLG) Market Revenues & Volume Share, By Application, 2021 & 2031F |
3.6 United States (US) Natural Language Generation (NLG) Market Revenues & Volume Share, By Component, 2021 & 2031F |
3.7 United States (US) Natural Language Generation (NLG) Market Revenues & Volume Share, By Business Function, 2021 & 2031F |
3.8 United States (US) Natural Language Generation (NLG) Market Revenues & Volume Share, By Deployment Model, 2021 & 2031F |
3.9 United States (US) Natural Language Generation (NLG) Market Revenues & Volume Share, By Organization Size, 2021 & 2031F |
3.10 United States (US) Natural Language Generation (NLG) Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
4 United States (US) Natural Language Generation (NLG) Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for automated content generation in various industries such as e-commerce, finance, and healthcare |
4.2.2 Growing adoption of artificial intelligence and machine learning technologies in business processes |
4.2.3 Rising need for personalized and engaging content to enhance customer experience |
4.3 Market Restraints |
4.3.1 High initial investment required for implementing natural language generation technology |
4.3.2 Concerns over data privacy and security in generating automated content |
4.3.3 Limited awareness and understanding of natural language generation technology among businesses |
5 United States (US) Natural Language Generation (NLG) Market Trends |
6 United States (US) Natural Language Generation (NLG) Market, By Types |
6.1 United States (US) Natural Language Generation (NLG) Market, By Application |
6.1.1 Overview and Analysis |
6.1.2 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Application, 2021 - 2031F |
6.1.3 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Customer Experience Management (CEM), 2021 - 2031F |
6.1.4 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Fraud Detection and Anti-money Laundering, 2021 - 2031F |
6.1.5 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Risk and Compliance Management, 2021 - 2031F |
6.1.6 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Performance Management, 2021 - 2031F |
6.1.7 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Predictive Maintenance, 2021 - 2031F |
6.1.8 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Others, 2021 - 2031F |
6.2 United States (US) Natural Language Generation (NLG) Market, By Component |
6.2.1 Overview and Analysis |
6.2.2 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Software, 2021 - 2031F |
6.2.3 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Services, 2021 - 2031F |
6.3 United States (US) Natural Language Generation (NLG) Market, By Business Function |
6.3.1 Overview and Analysis |
6.3.2 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Finance, 2021 - 2031F |
6.3.3 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Legal, 2021 - 2031F |
6.3.4 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Operations, 2021 - 2031F |
6.3.5 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By HR, 2021 - 2031F |
6.3.6 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Marketing and Sales, 2021 - 2031F |
6.4 United States (US) Natural Language Generation (NLG) Market, By Deployment Model |
6.4.1 Overview and Analysis |
6.4.2 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By On-premises, 2021 - 2031F |
6.4.3 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Cloud, 2021 - 2031F |
6.5 United States (US) Natural Language Generation (NLG) Market, By Organization Size |
6.5.1 Overview and Analysis |
6.5.2 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Small and Medium-sized Enterprises (SMEs), 2021 - 2031F |
6.5.3 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Large enterprises, 2021 - 2031F |
6.6 United States (US) Natural Language Generation (NLG) Market, By Vertical |
6.6.1 Overview and Analysis |
6.6.2 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Banking, Financial Services, and Insurance (BFSI), 2021 - 2031F |
6.6.3 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Retail and eCommerce, 2021 - 2031F |
6.6.4 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Government and Defense, 2021 - 2031F |
6.6.5 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Healthcare and Life Sciences, 2021 - 2031F |
6.6.6 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Manufacturing, 2021 - 2031F |
6.6.7 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Energy and Utilities, 2021 - 2031F |
6.6.8 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Media and Entertainment, 2021 - 2031F |
6.6.9 United States (US) Natural Language Generation (NLG) Market Revenues & Volume, By Media and Entertainment, 2021 - 2031F |
7 United States (US) Natural Language Generation (NLG) Market Import-Export Trade Statistics |
7.1 United States (US) Natural Language Generation (NLG) Market Export to Major Countries |
7.2 United States (US) Natural Language Generation (NLG) Market Imports from Major Countries |
8 United States (US) Natural Language Generation (NLG) Market Key Performance Indicators |
8.1 Average time saved per content piece generated using NLG technology |
8.2 Increase in the number of industries adopting NLG for content generation |
8.3 Growth in the number of NLG technology providers in the US market |
9 United States (US) Natural Language Generation (NLG) Market - Opportunity Assessment |
9.1 United States (US) Natural Language Generation (NLG) Market Opportunity Assessment, By Application, 2021 & 2031F |
9.2 United States (US) Natural Language Generation (NLG) Market Opportunity Assessment, By Component, 2021 & 2031F |
9.3 United States (US) Natural Language Generation (NLG) Market Opportunity Assessment, By Business Function, 2021 & 2031F |
9.4 United States (US) Natural Language Generation (NLG) Market Opportunity Assessment, By Deployment Model, 2021 & 2031F |
9.5 United States (US) Natural Language Generation (NLG) Market Opportunity Assessment, By Organization Size, 2021 & 2031F |
9.6 United States (US) Natural Language Generation (NLG) Market Opportunity Assessment, By Vertical, 2021 & 2031F |
10 United States (US) Natural Language Generation (NLG) Market - Competitive Landscape |
10.1 United States (US) Natural Language Generation (NLG) Market Revenue Share, By Companies, 2024 |
10.2 United States (US) Natural Language Generation (NLG) Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
To discover high-growth global markets and optimize your business strategy:
Click Here