| Product Code: ETC4399825 | 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 |
The natural language generation (NLG) market in India is gaining traction as organizations seek to automate the generation of human-like text from structured data. NLG technology is used in applications such as report generation, content creation, and chatbots. As the demand for personalized and data-driven content grows, the India NLG market is poised to offer innovative solutions for businesses looking to automate textual data generation and enhance customer experiences.
The India NLG market is witnessing significant growth due to the increasing demand for personalized and contextual content generation. NLG is a technology that converts structured data into human-readable, natural language text. This is invaluable for applications like automated reporting, chatbots, and content generation. Businesses are using NLG to provide real-time insights, personalized recommendations, and improve customer engagement. As the need for data-driven communication and content personalization grows, so does the adoption of NLG in India.
NLG faces challenges in understanding and generating human-like language effectively. Ensuring the ethical use of NLG, especially in areas like content generation, is crucial. Tailoring NLG for India languages and dialects is another challenge.
NLG technology was increasingly used in India during the pandemic for automated report generation and content creation. With the need for quick and data-driven communication, NLG solutions found applications in various sectors, including finance, healthcare, and e-commerce.
The India Natural Language Generation (NLG) Market is driven by key players that empower organizations to generate human-like text from structured data. Notable companies like OpenAI, Automated Insights (a subsidiary of Stats Perform), Arria NLG, and Yseop provide NLG solutions that are transforming industries by automating report generation, content creation, and more, using advanced natural language generation techniques.
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 India Natural Language Generation (NLG) Market Overview |
3.1 India Country Macro Economic Indicators |
3.2 India Natural Language Generation (NLG) Market Revenues & Volume, 2021 & 2031F |
3.3 India Natural Language Generation (NLG) Market - Industry Life Cycle |
3.4 India Natural Language Generation (NLG) Market - Porter's Five Forces |
3.5 India Natural Language Generation (NLG) Market Revenues & Volume Share, By Application, 2021 & 2031F |
3.6 India Natural Language Generation (NLG) Market Revenues & Volume Share, By Component, 2021 & 2031F |
3.7 India Natural Language Generation (NLG) Market Revenues & Volume Share, By Business Function, 2021 & 2031F |
3.8 India Natural Language Generation (NLG) Market Revenues & Volume Share, By Deployment Model, 2021 & 2031F |
3.9 India Natural Language Generation (NLG) Market Revenues & Volume Share, By Organization Size, 2021 & 2031F |
3.10 India Natural Language Generation (NLG) Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
4 India Natural Language Generation (NLG) Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of artificial intelligence and machine learning technologies in India |
4.2.2 Growing demand for personalized customer experiences and content automation |
4.2.3 Rising focus on improving operational efficiency and reducing manual work in businesses |
4.3 Market Restraints |
4.3.1 Lack of awareness about the benefits and capabilities of natural language generation technology |
4.3.2 Data security and privacy concerns hindering widespread adoption |
4.3.3 Limited skilled professionals in the field of natural language generation in India |
5 India Natural Language Generation (NLG) Market Trends |
6 India Natural Language Generation (NLG) Market, By Types |
6.1 India Natural Language Generation (NLG) Market, By Application |
6.1.1 Overview and Analysis |
6.1.2 India Natural Language Generation (NLG) Market Revenues & Volume, By Application, 2021-2031F |
6.1.3 India Natural Language Generation (NLG) Market Revenues & Volume, By Customer Experience Management (CEM), 2021-2031F |
6.1.4 India Natural Language Generation (NLG) Market Revenues & Volume, By Fraud Detection and Anti-money Laundering, 2021-2031F |
6.1.5 India Natural Language Generation (NLG) Market Revenues & Volume, By Risk and Compliance Management, 2021-2031F |
6.1.6 India Natural Language Generation (NLG) Market Revenues & Volume, By Performance Management, 2021-2031F |
6.1.7 India Natural Language Generation (NLG) Market Revenues & Volume, By Predictive Maintenance, 2021-2031F |
6.1.8 India Natural Language Generation (NLG) Market Revenues & Volume, By Others, 2021-2031F |
6.2 India Natural Language Generation (NLG) Market, By Component |
6.2.1 Overview and Analysis |
6.2.2 India Natural Language Generation (NLG) Market Revenues & Volume, By Software, 2021-2031F |
6.2.3 India Natural Language Generation (NLG) Market Revenues & Volume, By Services, 2021-2031F |
6.3 India Natural Language Generation (NLG) Market, By Business Function |
6.3.1 Overview and Analysis |
6.3.2 India Natural Language Generation (NLG) Market Revenues & Volume, By Finance, 2021-2031F |
6.3.3 India Natural Language Generation (NLG) Market Revenues & Volume, By Legal, 2021-2031F |
6.3.4 India Natural Language Generation (NLG) Market Revenues & Volume, By Operations, 2021-2031F |
6.3.5 India Natural Language Generation (NLG) Market Revenues & Volume, By HR, 2021-2031F |
6.3.6 India Natural Language Generation (NLG) Market Revenues & Volume, By Marketing and Sales, 2021-2031F |
6.4 India Natural Language Generation (NLG) Market, By Deployment Model |
6.4.1 Overview and Analysis |
6.4.2 India Natural Language Generation (NLG) Market Revenues & Volume, By On-premises, 2021-2031F |
6.4.3 India Natural Language Generation (NLG) Market Revenues & Volume, By Cloud, 2021-2031F |
6.5 India Natural Language Generation (NLG) Market, By Organization Size |
6.5.1 Overview and Analysis |
6.5.2 India Natural Language Generation (NLG) Market Revenues & Volume, By Small and Medium-sized Enterprises (SMEs), 2021-2031F |
6.5.3 India Natural Language Generation (NLG) Market Revenues & Volume, By Large enterprises, 2021-2031F |
6.6 India Natural Language Generation (NLG) Market, By Vertical |
6.6.1 Overview and Analysis |
6.6.2 India Natural Language Generation (NLG) Market Revenues & Volume, By Banking, Financial Services, and Insurance (BFSI), 2021-2031F |
6.6.3 India Natural Language Generation (NLG) Market Revenues & Volume, By Retail and eCommerce, 2021-2031F |
6.6.4 India Natural Language Generation (NLG) Market Revenues & Volume, By Government and Defense, 2021-2031F |
6.6.5 India Natural Language Generation (NLG) Market Revenues & Volume, By Healthcare and Life Sciences, 2021-2031F |
6.6.6 India Natural Language Generation (NLG) Market Revenues & Volume, By Manufacturing, 2021-2031F |
6.6.7 India Natural Language Generation (NLG) Market Revenues & Volume, By Energy and Utilities, 2021-2031F |
6.6.8 India Natural Language Generation (NLG) Market Revenues & Volume, By Media and Entertainment, 2021-2031F |
6.6.9 India Natural Language Generation (NLG) Market Revenues & Volume, By Media and Entertainment, 2021-2031F |
7 India Natural Language Generation (NLG) Market Import-Export Trade Statistics |
7.1 India Natural Language Generation (NLG) Market Export to Major Countries |
7.2 India Natural Language Generation (NLG) Market Imports from Major Countries |
8 India Natural Language Generation (NLG) Market Key Performance Indicators |
8.1 Average time saved per document generated using NLG technology |
8.2 Percentage increase in the number of businesses implementing NLG solutions annually |
8.3 Rate of growth in the usage of NLG in various industries in India |
9 India Natural Language Generation (NLG) Market - Opportunity Assessment |
9.1 India Natural Language Generation (NLG) Market Opportunity Assessment, By Application, 2021 & 2031F |
9.2 India Natural Language Generation (NLG) Market Opportunity Assessment, By Component, 2021 & 2031F |
9.3 India Natural Language Generation (NLG) Market Opportunity Assessment, By Business Function, 2021 & 2031F |
9.4 India Natural Language Generation (NLG) Market Opportunity Assessment, By Deployment Model, 2021 & 2031F |
9.5 India Natural Language Generation (NLG) Market Opportunity Assessment, By Organization Size, 2021 & 2031F |
9.6 India Natural Language Generation (NLG) Market Opportunity Assessment, By Vertical, 2021 & 2031F |
10 India Natural Language Generation (NLG) Market - Competitive Landscape |
10.1 India Natural Language Generation (NLG) Market Revenue Share, By Companies, 2024 |
10.2 India 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.
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