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Natural Language Generation (NLG) Market by Component (Software, Services), by Deployment (On premises, Cloud), by Organization Size (Large Enterprises, Small and Medium Enterprises), by End User (Media and Entertainment, Healthcare, Energy and Utilities), by North America (United States, Canada, Mexico, Rest of North America), by Middle East & Africa (UAE, South Africa, Saudi Arabia, Rest of MEA), by Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), by Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), by South America (Brazil, Argentina, Rest of South America) Forecast 2024-2032
The Natural Language Generation (NLG) Market size was valued at USD 872.3 USD Million in 2023 and is projected to reach USD 3180.72 USD Million by 2032, exhibiting a CAGR of 20.3 % during the forecast period. Natural Language Generation also known as NLG refers to a field of artificial intelligence that involves writing human-like messages from structured data. It comprises template-based, rule-based, and machine learning-based generation as some of its types. Data-to-text writing, context awareness, and language differences are essentials of the model. Examples of NLG uses include chatbot and auto report writing, especially since the technique generates nearly 85% of the content, content writing, and targeted communications. In sum, the NLG offers organizational factors an accessibility and meaning-making capacity that benefits both efficiency and engagement in the specified domains.
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This report provides a comprehensive overview of the NLG market, including industry analysis, competitor landscape, market trends, and key growth factors. It also offers insights into market challenges, drivers, segmentation, and emerging technologies.
"The NLG market is expected to experience significant growth in the coming years, driven by increasing demand for AI-enabled content creation and data-driven insights. Vendors should focus on innovation, strategic partnerships, and domain-specific solutions to capitalize on the opportunities."
Aspects | Details |
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Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 20.3% from 2018-2032 |
Segmentation |
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Aspects | Details |
---|---|
Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 20.3% from 2018-2032 |
Segmentation |
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Note* : In applicable scenarios
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