Global Natural Language Generation Services Market Growth (Status and Outlook) 2024-2030

Global Natural Language Generation Services Market Growth (Status and Outlook) 2024-2030

The natural language generation (NLG) market has been experiencing significant growth due to the increasing demand for automated text production and the integration of AI technologies across various industries. NLG refers to the process by which software systems generate natural language text based on structured data or algorithms. This technology is used to create a wide range of content, from articles and reports to customer feedback and chatbot responses.

The global Natural Language Generation Services market size is projected to grow from US$ 1095 million in 2024 to US$ 3854 million in 2030; it is expected to grow at a CAGR of 23.3% from 2024 to 2030.

LPI (LP Information)' newest research report, the “Natural Language Generation Services Industry Forecast” looks at past sales and reviews total world Natural Language Generation Services sales in 2022, providing a comprehensive analysis by region and market sector of projected Natural Language Generation Services sales for 2023 through 2029. With Natural Language Generation Services sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Natural Language Generation Services industry.

This Insight Report provides a comprehensive analysis of the global Natural Language Generation Services landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Natural Language Generation Services portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Natural Language Generation Services market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Natural Language Generation Services and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Natural Language Generation Services.

Key market trends in the natural language generation market include:
Advancements in AI and Machine Learning: As AI and machine learning technologies continue to evolve, NLG systems are becoming more sophisticated, generating more natural and contextually relevant text. This is driving the market as organizations can now create high-quality content at a larger scale and with higher efficiency.
Increased Adoption in Media and Entertainment: NLG is being widely adopted in the media and entertainment industry for automatically generating articles, summaries, and reports. This is particularly true for sports news, financial reports, and other data-driven content where speed and scale are important.
Growth in eCommerce and Customer Support: E-commerce companies and customer support services are increasingly using NLG to create product descriptions, reviews, and automated responses to customer inquiries, improving customer experience and reducing operational costs.
Regulatory and Compliance Requirements: The need for regulatory compliance in industries such as finance, healthcare, and legal is driving the adoption of NLG technologies. These systems can help ensure that generated content meets the necessary legal and regulatory standards.
Language and Localization: As businesses expand globally, there is a growing need for multilingual content. NLG systems that can generate content in multiple languages are in demand, enabling companies to reach and engage audiences around the world.
Integration with Other AI Technologies: NLG is often integrated with other AI technologies such as natural language processing (NLP), computer vision, and deep learning to create more intelligent and interactive content.
Regionally, North America and Europe are leading the market for natural language generation, driven by the maturity of the technology and the presence of large enterprises. However, Asia-Pacific is also experiencing rapid growth as countries like China and India invest heavily in AI and digital transformation.

This report presents a comprehensive overview, market shares, and growth opportunities of Natural Language Generation Services market by product type, application, key players and key regions and countries.

Segmentation by Type:
Cloud
On-Premises

Segmentation by Application:
Finance
Legal
Marketing and Sales
Operations
Human Resources

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

Segmentation by Type:
Cloud
On-Premises

Segmentation by Application:
Finance
Legal
Marketing and Sales
Operations
Human Resources

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Amazon Web Services, Inc. (U.S.)
IBM (U.S.)
Yseop (France)
AX Semantics (Germany)
2txt - natural language generation GmbH (Germany)
Linguastat Inc. (U.S.)
Textual Relations AB. (Gothenburg)
Newsrx. (U.S.)
Arria NLG (U.K.)
Artificial Solutions (Sweden)
Restresco (U.S.)
Conversica (U.S.)
NewsRx (U.S.)
CoGenTax Inc. (U.S.)
Phrasetech (Sweden)
vPhrase (India)

Please note: The report will take approximately 2 business days to prepare and deliver.