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.
Localized Deployment (On-Premises)
Refers to software that runs on computers at the business premises where the user or organization is located, i.e., a self-purchased system that runs at one's own company's place of business.
The global On-Premises Natural Language Generation market size is projected to grow from US$ 452 million in 2024 to US$ 1567 million in 2030; it is expected to grow at a CAGR of 23.0% from 2024 to 2030.
The 鈥淥n-Premises Natural Language Generation Industry Forecast鈥� looks at past sales and reviews total world On-Premises Natural Language Generation sales in 2022, providing a comprehensive analysis by region and market sector of projected On-Premises Natural Language Generation sales for 2023 through 2029. With On-Premises Natural Language Generation sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world On-Premises Natural Language Generation industry.
This Insight Report provides a comprehensive analysis of the global On-Premises Natural Language Generation 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 On-Premises Natural Language Generation portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global On-Premises Natural Language Generation market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for On-Premises Natural Language Generation 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 On-Premises Natural Language Generation.
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 On-Premises Natural Language Generation market by product type, application, key players and key regions and countries.
Segmentation by Type:
Solution
Services
Segmentation by Application:
Finance
Legal
麻豆原创ing 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:
Solution
Services
Segmentation by Application:
Finance
Legal
麻豆原创ing 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 - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Scope of the Report
1.1 麻豆原创 Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 麻豆原创 Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 麻豆原创 Estimation Caveats
2 Executive Summary
2.1 World 麻豆原创 Overview
2.1.1 Global On-Premises Natural Language Generation 麻豆原创 Size 2019-2030
2.1.2 On-Premises Natural Language Generation 麻豆原创 Size CAGR by Region (2019 VS 2023 VS 2030)
2.1.3 World Current & Future Analysis for On-Premises Natural Language Generation by Country/Region, 2019, 2023 & 2030
2.2 On-Premises Natural Language Generation Segment by Type
2.2.1 Solution
2.2.2 Services
2.3 On-Premises Natural Language Generation 麻豆原创 Size by Type
2.3.1 On-Premises Natural Language Generation 麻豆原创 Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global On-Premises Natural Language Generation 麻豆原创 Size 麻豆原创 Share by Type (2019-2024)
2.4 On-Premises Natural Language Generation Segment by Application
2.4.1 Finance
2.4.2 Legal
2.4.3 麻豆原创ing and Sales
2.4.4 Operations
2.4.5 Human Resources
2.5 On-Premises Natural Language Generation 麻豆原创 Size by Application
2.5.1 On-Premises Natural Language Generation 麻豆原创 Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global On-Premises Natural Language Generation 麻豆原创 Size 麻豆原创 Share by Application (2019-2024)
3 On-Premises Natural Language Generation 麻豆原创 Size by Player
3.1 On-Premises Natural Language Generation 麻豆原创 Size 麻豆原创 Share by Player
3.1.1 Global On-Premises Natural Language Generation Revenue by Player (2019-2024)
3.1.2 Global On-Premises Natural Language Generation Revenue 麻豆原创 Share by Player (2019-2024)
3.2 Global On-Premises Natural Language Generation Key Players Head office and Products Offered
3.3 麻豆原创 Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 On-Premises Natural Language Generation by Region
4.1 On-Premises Natural Language Generation 麻豆原创 Size by Region (2019-2024)
4.2 Global On-Premises Natural Language Generation Annual Revenue by Country/Region (2019-2024)
4.3 Americas On-Premises Natural Language Generation 麻豆原创 Size Growth (2019-2024)
4.4 APAC On-Premises Natural Language Generation 麻豆原创 Size Growth (2019-2024)
4.5 Europe On-Premises Natural Language Generation 麻豆原创 Size Growth (2019-2024)
4.6 Middle East & Africa On-Premises Natural Language Generation 麻豆原创 Size Growth (2019-2024)
5 Americas
5.1 Americas On-Premises Natural Language Generation 麻豆原创 Size by Country (2019-2024)
5.2 Americas On-Premises Natural Language Generation 麻豆原创 Size by Type (2019-2024)
5.3 Americas On-Premises Natural Language Generation 麻豆原创 Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC On-Premises Natural Language Generation 麻豆原创 Size by Region (2019-2024)
6.2 APAC On-Premises Natural Language Generation 麻豆原创 Size by Type (2019-2024)
6.3 APAC On-Premises Natural Language Generation 麻豆原创 Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe On-Premises Natural Language Generation 麻豆原创 Size by Country (2019-2024)
7.2 Europe On-Premises Natural Language Generation 麻豆原创 Size by Type (2019-2024)
7.3 Europe On-Premises Natural Language Generation 麻豆原创 Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa On-Premises Natural Language Generation by Region (2019-2024)
8.2 Middle East & Africa On-Premises Natural Language Generation 麻豆原创 Size by Type (2019-2024)
8.3 Middle East & Africa On-Premises Natural Language Generation 麻豆原创 Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 麻豆原创 Drivers, Challenges and Trends
9.1 麻豆原创 Drivers & Growth Opportunities
9.2 麻豆原创 Challenges & Risks
9.3 Industry Trends
10 Global On-Premises Natural Language Generation 麻豆原创 Forecast
10.1 Global On-Premises Natural Language Generation Forecast by Region (2025-2030)
10.1.1 Global On-Premises Natural Language Generation Forecast by Region (2025-2030)
10.1.2 Americas On-Premises Natural Language Generation Forecast
10.1.3 APAC On-Premises Natural Language Generation Forecast
10.1.4 Europe On-Premises Natural Language Generation Forecast
10.1.5 Middle East & Africa On-Premises Natural Language Generation Forecast
10.2 Americas On-Premises Natural Language Generation Forecast by Country (2025-2030)
10.2.1 United States 麻豆原创 On-Premises Natural Language Generation Forecast
10.2.2 Canada 麻豆原创 On-Premises Natural Language Generation Forecast
10.2.3 Mexico 麻豆原创 On-Premises Natural Language Generation Forecast
10.2.4 Brazil 麻豆原创 On-Premises Natural Language Generation Forecast
10.3 APAC On-Premises Natural Language Generation Forecast by Region (2025-2030)
10.3.1 China On-Premises Natural Language Generation 麻豆原创 Forecast
10.3.2 Japan 麻豆原创 On-Premises Natural Language Generation Forecast
10.3.3 Korea 麻豆原创 On-Premises Natural Language Generation Forecast
10.3.4 Southeast Asia 麻豆原创 On-Premises Natural Language Generation Forecast
10.3.5 India 麻豆原创 On-Premises Natural Language Generation Forecast
10.3.6 Australia 麻豆原创 On-Premises Natural Language Generation Forecast
10.4 Europe On-Premises Natural Language Generation Forecast by Country (2025-2030)
10.4.1 Germany 麻豆原创 On-Premises Natural Language Generation Forecast
10.4.2 France 麻豆原创 On-Premises Natural Language Generation Forecast
10.4.3 UK 麻豆原创 On-Premises Natural Language Generation Forecast
10.4.4 Italy 麻豆原创 On-Premises Natural Language Generation Forecast
10.4.5 Russia 麻豆原创 On-Premises Natural Language Generation Forecast
10.5 Middle East & Africa On-Premises Natural Language Generation Forecast by Region (2025-2030)
10.5.1 Egypt 麻豆原创 On-Premises Natural Language Generation Forecast
10.5.2 South Africa 麻豆原创 On-Premises Natural Language Generation Forecast
10.5.3 Israel 麻豆原创 On-Premises Natural Language Generation Forecast
10.5.4 Turkey 麻豆原创 On-Premises Natural Language Generation Forecast
10.6 Global On-Premises Natural Language Generation Forecast by Type (2025-2030)
10.7 Global On-Premises Natural Language Generation Forecast by Application (2025-2030)
10.7.1 GCC Countries 麻豆原创 On-Premises Natural Language Generation Forecast
11 Key Players Analysis
11.1 Amazon Web Services, Inc. (U.S.)
11.1.1 Amazon Web Services, Inc. (U.S.) Company Information
11.1.2 Amazon Web Services, Inc. (U.S.) On-Premises Natural Language Generation Product Offered
11.1.3 Amazon Web Services, Inc. (U.S.) On-Premises Natural Language Generation Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.1.4 Amazon Web Services, Inc. (U.S.) Main Business Overview
11.1.5 Amazon Web Services, Inc. (U.S.) Latest Developments
11.2 IBM (U.S.)
11.2.1 IBM (U.S.) Company Information
11.2.2 IBM (U.S.) On-Premises Natural Language Generation Product Offered
11.2.3 IBM (U.S.) On-Premises Natural Language Generation Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.2.4 IBM (U.S.) Main Business Overview
11.2.5 IBM (U.S.) Latest Developments
11.3 Yseop (France)
11.3.1 Yseop (France) Company Information
11.3.2 Yseop (France) On-Premises Natural Language Generation Product Offered
11.3.3 Yseop (France) On-Premises Natural Language Generation Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.3.4 Yseop (France) Main Business Overview
11.3.5 Yseop (France) Latest Developments
11.4 AX Semantics (Germany)
11.4.1 AX Semantics (Germany) Company Information
11.4.2 AX Semantics (Germany) On-Premises Natural Language Generation Product Offered
11.4.3 AX Semantics (Germany) On-Premises Natural Language Generation Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.4.4 AX Semantics (Germany) Main Business Overview
11.4.5 AX Semantics (Germany) Latest Developments
11.5 2txt - natural language generation GmbH (Germany)
11.5.1 2txt - natural language generation GmbH (Germany) Company Information
11.5.2 2txt - natural language generation GmbH (Germany) On-Premises Natural Language Generation Product Offered
11.5.3 2txt - natural language generation GmbH (Germany) On-Premises Natural Language Generation Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.5.4 2txt - natural language generation GmbH (Germany) Main Business Overview
11.5.5 2txt - natural language generation GmbH (Germany) Latest Developments
11.6 Linguastat Inc. (U.S.)
11.6.1 Linguastat Inc. (U.S.) Company Information
11.6.2 Linguastat Inc. (U.S.) On-Premises Natural Language Generation Product Offered
11.6.3 Linguastat Inc. (U.S.) On-Premises Natural Language Generation Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.6.4 Linguastat Inc. (U.S.) Main Business Overview
11.6.5 Linguastat Inc. (U.S.) Latest Developments
11.7 Textual Relations AB. (Gothenburg)
11.7.1 Textual Relations AB. (Gothenburg) Company Information
11.7.2 Textual Relations AB. (Gothenburg) On-Premises Natural Language Generation Product Offered
11.7.3 Textual Relations AB. (Gothenburg) On-Premises Natural Language Generation Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.7.4 Textual Relations AB. (Gothenburg) Main Business Overview
11.7.5 Textual Relations AB. (Gothenburg) Latest Developments
11.8 Newsrx. (U.S.)
11.8.1 Newsrx. (U.S.) Company Information
11.8.2 Newsrx. (U.S.) On-Premises Natural Language Generation Product Offered
11.8.3 Newsrx. (U.S.) On-Premises Natural Language Generation Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.8.4 Newsrx. (U.S.) Main Business Overview
11.8.5 Newsrx. (U.S.) Latest Developments
11.9 Arria NLG (U.K.)
11.9.1 Arria NLG (U.K.) Company Information
11.9.2 Arria NLG (U.K.) On-Premises Natural Language Generation Product Offered
11.9.3 Arria NLG (U.K.) On-Premises Natural Language Generation Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.9.4 Arria NLG (U.K.) Main Business Overview
11.9.5 Arria NLG (U.K.) Latest Developments
11.10 Artificial Solutions (Sweden)
11.10.1 Artificial Solutions (Sweden) Company Information
11.10.2 Artificial Solutions (Sweden) On-Premises Natural Language Generation Product Offered
11.10.3 Artificial Solutions (Sweden) On-Premises Natural Language Generation Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.10.4 Artificial Solutions (Sweden) Main Business Overview
11.10.5 Artificial Solutions (Sweden) Latest Developments
11.11 Restresco (U.S.)
11.11.1 Restresco (U.S.) Company Information
11.11.2 Restresco (U.S.) On-Premises Natural Language Generation Product Offered
11.11.3 Restresco (U.S.) On-Premises Natural Language Generation Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.11.4 Restresco (U.S.) Main Business Overview
11.11.5 Restresco (U.S.) Latest Developments
11.12 Conversica (U.S.)
11.12.1 Conversica (U.S.) Company Information
11.12.2 Conversica (U.S.) On-Premises Natural Language Generation Product Offered
11.12.3 Conversica (U.S.) On-Premises Natural Language Generation Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.12.4 Conversica (U.S.) Main Business Overview
11.12.5 Conversica (U.S.) Latest Developments
11.13 NewsRx (U.S.)
11.13.1 NewsRx (U.S.) Company Information
11.13.2 NewsRx (U.S.) On-Premises Natural Language Generation Product Offered
11.13.3 NewsRx (U.S.) On-Premises Natural Language Generation Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.13.4 NewsRx (U.S.) Main Business Overview
11.13.5 NewsRx (U.S.) Latest Developments
11.14 CoGenTax Inc. (U.S.)
11.14.1 CoGenTax Inc. (U.S.) Company Information
11.14.2 CoGenTax Inc. (U.S.) On-Premises Natural Language Generation Product Offered
11.14.3 CoGenTax Inc. (U.S.) On-Premises Natural Language Generation Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.14.4 CoGenTax Inc. (U.S.) Main Business Overview
11.14.5 CoGenTax Inc. (U.S.) Latest Developments
11.15 Phrasetech (Sweden)
11.15.1 Phrasetech (Sweden) Company Information
11.15.2 Phrasetech (Sweden) On-Premises Natural Language Generation Product Offered
11.15.3 Phrasetech (Sweden) On-Premises Natural Language Generation Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.15.4 Phrasetech (Sweden) Main Business Overview
11.15.5 Phrasetech (Sweden) Latest Developments
11.16 vPhrase (India)
11.16.1 vPhrase (India) Company Information
11.16.2 vPhrase (India) On-Premises Natural Language Generation Product Offered
11.16.3 vPhrase (India) On-Premises Natural Language Generation Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.16.4 vPhrase (India) Main Business Overview
11.16.5 vPhrase (India) Latest Developments
12 Research Findings and Conclusion
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*If Applicable.