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Global On-Premises Natural Language Generation Market Research Report 2024
Published Date: September 2024
|
Report Code: QYRE-Auto-5P18202
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Global On Premises Natural Language Generation Market Research Report 2024
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Global On-Premises Natural Language Generation Market Research Report 2024

Code: QYRE-Auto-5P18202
Report
September 2024
Pages:92
QYResearch
Buy Now with 15% Discount
DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES
FEATURED COMPANIES
Organization
NLG GmbH
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.)
CoGenTax Inc. (U.S.)
Phrasetech (Sweden)
vPhrase (India)

On-Premises Natural Language Generation Market Size

The global On-Premises Natural Language Generation market was valued at US$ 353 million in 2023 and is anticipated to reach US$ 1538 million by 2030, witnessing a CAGR of 22.2% during the forecast period 2024-2030.

On-Premises Natural Language Generation Market

On-Premises Natural Language Generation Market

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.
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 aims to provide a comprehensive presentation of the global market for On-Premises Natural Language Generation, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding On-Premises Natural Language Generation.
The On-Premises Natural Language Generation market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global On-Premises Natural Language Generation market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the On-Premises Natural Language Generation companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation

Scope of On-Premises Natural Language Generation Market Report

Report Metric Details
Report Name On-Premises Natural Language Generation Market
Accounted market size in 2023 US$ 353 million
Forecasted market size in 2030 US$ 1538 million
CAGR 22.2%
Base Year 2023
Forecasted years 2024 - 2030
Segment by Type
  • Solution
  • Services
Segment by Application
  • Finance
  • Legal
  • Marketing and Sales
  • Operations
  • Human Resources
By Region
  • North America (United States, Canada)
  • Europe (Germany, France, UK, Italy, Russia) Rest of Europe
  • Nordic Countries
  • Asia-Pacific (China, Japan, South Korea)
  • Southeast Asia (India, Australia)
  • Rest of Asia
  • Latin America (Mexico, Brazil)
  • Rest of Latin America
  • Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of MEA)
By Company 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)
Forecast units USD million in value
Report coverage Revenue and volume forecast, company share, competitive landscape, growth factors and trends

Chapter Outline

  • Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
  • Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
  • Chapter 3: Detailed analysis of On-Premises Natural Language Generation company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
  • Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
  • Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
  • Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
  • Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
  • Chapter 12: The main points and conclusions of the report.

FAQ for this report

How fast is On-Premises Natural Language Generation Market growing?

Ans: The On-Premises Natural Language Generation Market witnessing a CAGR of 22.2% during the forecast period 2024-2030.

What is the On-Premises Natural Language Generation Market size in 2030?

Ans: The On-Premises Natural Language Generation Market size in 2030 will be US$ 1538 million.

Who are the main players in the On-Premises Natural Language Generation Market report?

Ans: The main players in the On-Premises Natural Language Generation Market are 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)

What are the Application segmentation covered in the On-Premises Natural Language Generation Market report?

Ans: The Applications covered in the On-Premises Natural Language Generation Market report are Finance, Legal, Marketing and Sales, Operations, Human Resources

What are the Type segmentation covered in the On-Premises Natural Language Generation Market report?

Ans: The Types covered in the On-Premises Natural Language Generation Market report are Solution, Services

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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global On-Premises Natural Language Generation Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Solution
1.2.3 Services
1.3 Market by Application
1.3.1 Global On-Premises Natural Language Generation Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Finance
1.3.3 Legal
1.3.4 Marketing and Sales
1.3.5 Operations
1.3.6 Human Resources
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global On-Premises Natural Language Generation Market Perspective (2019-2030)
2.2 Global On-Premises Natural Language Generation Growth Trends by Region
2.2.1 Global On-Premises Natural Language Generation Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 On-Premises Natural Language Generation Historic Market Size by Region (2019-2024)
2.2.3 On-Premises Natural Language Generation Forecasted Market Size by Region (2025-2030)
2.3 On-Premises Natural Language Generation Market Dynamics
2.3.1 On-Premises Natural Language Generation Industry Trends
2.3.2 On-Premises Natural Language Generation Market Drivers
2.3.3 On-Premises Natural Language Generation Market Challenges
2.3.4 On-Premises Natural Language Generation Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top On-Premises Natural Language Generation Players by Revenue
3.1.1 Global Top On-Premises Natural Language Generation Players by Revenue (2019-2024)
3.1.2 Global On-Premises Natural Language Generation Revenue Market Share by Players (2019-2024)
3.2 Global On-Premises Natural Language Generation Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by On-Premises Natural Language Generation Revenue
3.4 Global On-Premises Natural Language Generation Market Concentration Ratio
3.4.1 Global On-Premises Natural Language Generation Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by On-Premises Natural Language Generation Revenue in 2023
3.5 Global Key Players of On-Premises Natural Language Generation Head office and Area Served
3.6 Global Key Players of On-Premises Natural Language Generation, Product and Application
3.7 Global Key Players of On-Premises Natural Language Generation, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 On-Premises Natural Language Generation Breakdown Data by Type
4.1 Global On-Premises Natural Language Generation Historic Market Size by Type (2019-2024)
4.2 Global On-Premises Natural Language Generation Forecasted Market Size by Type (2025-2030)
5 On-Premises Natural Language Generation Breakdown Data by Application
5.1 Global On-Premises Natural Language Generation Historic Market Size by Application (2019-2024)
5.2 Global On-Premises Natural Language Generation Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America On-Premises Natural Language Generation Market Size (2019-2030)
6.2 North America On-Premises Natural Language Generation Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America On-Premises Natural Language Generation Market Size by Country (2019-2024)
6.4 North America On-Premises Natural Language Generation Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe On-Premises Natural Language Generation Market Size (2019-2030)
7.2 Europe On-Premises Natural Language Generation Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe On-Premises Natural Language Generation Market Size by Country (2019-2024)
7.4 Europe On-Premises Natural Language Generation Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific On-Premises Natural Language Generation Market Size (2019-2030)
8.2 Asia-Pacific On-Premises Natural Language Generation Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific On-Premises Natural Language Generation Market Size by Region (2019-2024)
8.4 Asia-Pacific On-Premises Natural Language Generation Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America On-Premises Natural Language Generation Market Size (2019-2030)
9.2 Latin America On-Premises Natural Language Generation Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America On-Premises Natural Language Generation Market Size by Country (2019-2024)
9.4 Latin America On-Premises Natural Language Generation Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa On-Premises Natural Language Generation Market Size (2019-2030)
10.2 Middle East & Africa On-Premises Natural Language Generation Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa On-Premises Natural Language Generation Market Size by Country (2019-2024)
10.4 Middle East & Africa On-Premises Natural Language Generation Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Amazon Web Services, Inc. (U.S.)
11.1.1 Amazon Web Services, Inc. (U.S.) Company Details
11.1.2 Amazon Web Services, Inc. (U.S.) Business Overview
11.1.3 Amazon Web Services, Inc. (U.S.) On-Premises Natural Language Generation Introduction
11.1.4 Amazon Web Services, Inc. (U.S.) Revenue in On-Premises Natural Language Generation Business (2019-2024)
11.1.5 Amazon Web Services, Inc. (U.S.) Recent Development
11.2 IBM (U.S.)
11.2.1 IBM (U.S.) Company Details
11.2.2 IBM (U.S.) Business Overview
11.2.3 IBM (U.S.) On-Premises Natural Language Generation Introduction
11.2.4 IBM (U.S.) Revenue in On-Premises Natural Language Generation Business (2019-2024)
11.2.5 IBM (U.S.) Recent Development
11.3 Yseop (France)
11.3.1 Yseop (France) Company Details
11.3.2 Yseop (France) Business Overview
11.3.3 Yseop (France) On-Premises Natural Language Generation Introduction
11.3.4 Yseop (France) Revenue in On-Premises Natural Language Generation Business (2019-2024)
11.3.5 Yseop (France) Recent Development
11.4 AX Semantics (Germany)
11.4.1 AX Semantics (Germany) Company Details
11.4.2 AX Semantics (Germany) Business Overview
11.4.3 AX Semantics (Germany) On-Premises Natural Language Generation Introduction
11.4.4 AX Semantics (Germany) Revenue in On-Premises Natural Language Generation Business (2019-2024)
11.4.5 AX Semantics (Germany) Recent Development
11.5 2txt - natural language generation GmbH (Germany)
11.5.1 2txt - natural language generation GmbH (Germany) Company Details
11.5.2 2txt - natural language generation GmbH (Germany) Business Overview
11.5.3 2txt - natural language generation GmbH (Germany) On-Premises Natural Language Generation Introduction
11.5.4 2txt - natural language generation GmbH (Germany) Revenue in On-Premises Natural Language Generation Business (2019-2024)
11.5.5 2txt - natural language generation GmbH (Germany) Recent Development
11.6 Linguastat Inc. (U.S.)
11.6.1 Linguastat Inc. (U.S.) Company Details
11.6.2 Linguastat Inc. (U.S.) Business Overview
11.6.3 Linguastat Inc. (U.S.) On-Premises Natural Language Generation Introduction
11.6.4 Linguastat Inc. (U.S.) Revenue in On-Premises Natural Language Generation Business (2019-2024)
11.6.5 Linguastat Inc. (U.S.) Recent Development
11.7 Textual Relations AB. (Gothenburg)
11.7.1 Textual Relations AB. (Gothenburg) Company Details
11.7.2 Textual Relations AB. (Gothenburg) Business Overview
11.7.3 Textual Relations AB. (Gothenburg) On-Premises Natural Language Generation Introduction
11.7.4 Textual Relations AB. (Gothenburg) Revenue in On-Premises Natural Language Generation Business (2019-2024)
11.7.5 Textual Relations AB. (Gothenburg) Recent Development
11.8 Newsrx. (U.S.)
11.8.1 Newsrx. (U.S.) Company Details
11.8.2 Newsrx. (U.S.) Business Overview
11.8.3 Newsrx. (U.S.) On-Premises Natural Language Generation Introduction
11.8.4 Newsrx. (U.S.) Revenue in On-Premises Natural Language Generation Business (2019-2024)
11.8.5 Newsrx. (U.S.) Recent Development
11.9 Arria NLG (U.K.)
11.9.1 Arria NLG (U.K.) Company Details
11.9.2 Arria NLG (U.K.) Business Overview
11.9.3 Arria NLG (U.K.) On-Premises Natural Language Generation Introduction
11.9.4 Arria NLG (U.K.) Revenue in On-Premises Natural Language Generation Business (2019-2024)
11.9.5 Arria NLG (U.K.) Recent Development
11.10 Artificial Solutions (Sweden)
11.10.1 Artificial Solutions (Sweden) Company Details
11.10.2 Artificial Solutions (Sweden) Business Overview
11.10.3 Artificial Solutions (Sweden) On-Premises Natural Language Generation Introduction
11.10.4 Artificial Solutions (Sweden) Revenue in On-Premises Natural Language Generation Business (2019-2024)
11.10.5 Artificial Solutions (Sweden) Recent Development
11.11 Restresco (U.S.)
11.11.1 Restresco (U.S.) Company Details
11.11.2 Restresco (U.S.) Business Overview
11.11.3 Restresco (U.S.) On-Premises Natural Language Generation Introduction
11.11.4 Restresco (U.S.) Revenue in On-Premises Natural Language Generation Business (2019-2024)
11.11.5 Restresco (U.S.) Recent Development
11.12 Conversica (U.S.)
11.12.1 Conversica (U.S.) Company Details
11.12.2 Conversica (U.S.) Business Overview
11.12.3 Conversica (U.S.) On-Premises Natural Language Generation Introduction
11.12.4 Conversica (U.S.) Revenue in On-Premises Natural Language Generation Business (2019-2024)
11.12.5 Conversica (U.S.) Recent Development
11.13 NewsRx (U.S.)
11.13.1 NewsRx (U.S.) Company Details
11.13.2 NewsRx (U.S.) Business Overview
11.13.3 NewsRx (U.S.) On-Premises Natural Language Generation Introduction
11.13.4 NewsRx (U.S.) Revenue in On-Premises Natural Language Generation Business (2019-2024)
11.13.5 NewsRx (U.S.) Recent Development
11.14 CoGenTax Inc. (U.S.)
11.14.1 CoGenTax Inc. (U.S.) Company Details
11.14.2 CoGenTax Inc. (U.S.) Business Overview
11.14.3 CoGenTax Inc. (U.S.) On-Premises Natural Language Generation Introduction
11.14.4 CoGenTax Inc. (U.S.) Revenue in On-Premises Natural Language Generation Business (2019-2024)
11.14.5 CoGenTax Inc. (U.S.) Recent Development
11.15 Phrasetech (Sweden)
11.15.1 Phrasetech (Sweden) Company Details
11.15.2 Phrasetech (Sweden) Business Overview
11.15.3 Phrasetech (Sweden) On-Premises Natural Language Generation Introduction
11.15.4 Phrasetech (Sweden) Revenue in On-Premises Natural Language Generation Business (2019-2024)
11.15.5 Phrasetech (Sweden) Recent Development
11.16 vPhrase (India)
11.16.1 vPhrase (India) Company Details
11.16.2 vPhrase (India) Business Overview
11.16.3 vPhrase (India) On-Premises Natural Language Generation Introduction
11.16.4 vPhrase (India) Revenue in On-Premises Natural Language Generation Business (2019-2024)
11.16.5 vPhrase (India) Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
FEATURED COMPANIES
Organization
NLG GmbH
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.)
CoGenTax Inc. (U.S.)
Phrasetech (Sweden)
vPhrase (India)
List of Tables
 Table 1. Global On-Premises Natural Language Generation Market Size Growth Rate by Type (US$ Million): 2019 VS 2023 VS 2030
 Table 2. Key Players of Solution
 Table 3. Key Players of Services
 Table 4. Global On-Premises Natural Language Generation Market Size Growth by Application (US$ Million): 2019 VS 2023 VS 2030
 Table 5. Global On-Premises Natural Language Generation Market Size by Region (US$ Million): 2019 VS 2023 VS 2030
 Table 6. Global On-Premises Natural Language Generation Market Size by Region (2019-2024) & (US$ Million)
 Table 7. Global On-Premises Natural Language Generation Market Share by Region (2019-2024)
 Table 8. Global On-Premises Natural Language Generation Forecasted Market Size by Region (2025-2030) & (US$ Million)
 Table 9. Global On-Premises Natural Language Generation Market Share by Region (2025-2030)
 Table 10. On-Premises Natural Language Generation Market Trends
 Table 11. On-Premises Natural Language Generation Market Drivers
 Table 12. On-Premises Natural Language Generation Market Challenges
 Table 13. On-Premises Natural Language Generation Market Restraints
 Table 14. Global On-Premises Natural Language Generation Revenue by Players (2019-2024) & (US$ Million)
 Table 15. Global On-Premises Natural Language Generation Market Share by Players (2019-2024)
 Table 16. Global Top On-Premises Natural Language Generation Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in On-Premises Natural Language Generation as of 2023)
 Table 17. Ranking of Global Top On-Premises Natural Language Generation Companies by Revenue (US$ Million) in 2023
 Table 18. Global 5 Largest Players Market Share by On-Premises Natural Language Generation Revenue (CR5 and HHI) & (2019-2024)
 Table 19. Global Key Players of On-Premises Natural Language Generation, Headquarters and Area Served
 Table 20. Global Key Players of On-Premises Natural Language Generation, Product and Application
 Table 21. Global Key Players of On-Premises Natural Language Generation, Date of Enter into This Industry
 Table 22. Mergers & Acquisitions, Expansion Plans
 Table 23. Global On-Premises Natural Language Generation Market Size by Type (2019-2024) & (US$ Million)
 Table 24. Global On-Premises Natural Language Generation Revenue Market Share by Type (2019-2024)
 Table 25. Global On-Premises Natural Language Generation Forecasted Market Size by Type (2025-2030) & (US$ Million)
 Table 26. Global On-Premises Natural Language Generation Revenue Market Share by Type (2025-2030)
 Table 27. Global On-Premises Natural Language Generation Market Size by Application (2019-2024) & (US$ Million)
 Table 28. Global On-Premises Natural Language Generation Revenue Market Share by Application (2019-2024)
 Table 29. Global On-Premises Natural Language Generation Forecasted Market Size by Application (2025-2030) & (US$ Million)
 Table 30. Global On-Premises Natural Language Generation Revenue Market Share by Application (2025-2030)
 Table 31. North America On-Premises Natural Language Generation Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
 Table 32. North America On-Premises Natural Language Generation Market Size by Country (2019-2024) & (US$ Million)
 Table 33. North America On-Premises Natural Language Generation Market Size by Country (2025-2030) & (US$ Million)
 Table 34. Europe On-Premises Natural Language Generation Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
 Table 35. Europe On-Premises Natural Language Generation Market Size by Country (2019-2024) & (US$ Million)
 Table 36. Europe On-Premises Natural Language Generation Market Size by Country (2025-2030) & (US$ Million)
 Table 37. Asia-Pacific On-Premises Natural Language Generation Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
 Table 38. Asia-Pacific On-Premises Natural Language Generation Market Size by Region (2019-2024) & (US$ Million)
 Table 39. Asia-Pacific On-Premises Natural Language Generation Market Size by Region (2025-2030) & (US$ Million)
 Table 40. Latin America On-Premises Natural Language Generation Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
 Table 41. Latin America On-Premises Natural Language Generation Market Size by Country (2019-2024) & (US$ Million)
 Table 42. Latin America On-Premises Natural Language Generation Market Size by Country (2025-2030) & (US$ Million)
 Table 43. Middle East & Africa On-Premises Natural Language Generation Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
 Table 44. Middle East & Africa On-Premises Natural Language Generation Market Size by Country (2019-2024) & (US$ Million)
 Table 45. Middle East & Africa On-Premises Natural Language Generation Market Size by Country (2025-2030) & (US$ Million)
 Table 46. Amazon Web Services, Inc. (U.S.) Company Details
 Table 47. Amazon Web Services, Inc. (U.S.) Business Overview
 Table 48. Amazon Web Services, Inc. (U.S.) On-Premises Natural Language Generation Product
 Table 49. Amazon Web Services, Inc. (U.S.) Revenue in On-Premises Natural Language Generation Business (2019-2024) & (US$ Million)
 Table 50. Amazon Web Services, Inc. (U.S.) Recent Development
 Table 51. IBM (U.S.) Company Details
 Table 52. IBM (U.S.) Business Overview
 Table 53. IBM (U.S.) On-Premises Natural Language Generation Product
 Table 54. IBM (U.S.) Revenue in On-Premises Natural Language Generation Business (2019-2024) & (US$ Million)
 Table 55. IBM (U.S.) Recent Development
 Table 56. Yseop (France) Company Details
 Table 57. Yseop (France) Business Overview
 Table 58. Yseop (France) On-Premises Natural Language Generation Product
 Table 59. Yseop (France) Revenue in On-Premises Natural Language Generation Business (2019-2024) & (US$ Million)
 Table 60. Yseop (France) Recent Development
 Table 61. AX Semantics (Germany) Company Details
 Table 62. AX Semantics (Germany) Business Overview
 Table 63. AX Semantics (Germany) On-Premises Natural Language Generation Product
 Table 64. AX Semantics (Germany) Revenue in On-Premises Natural Language Generation Business (2019-2024) & (US$ Million)
 Table 65. AX Semantics (Germany) Recent Development
 Table 66. 2txt - natural language generation GmbH (Germany) Company Details
 Table 67. 2txt - natural language generation GmbH (Germany) Business Overview
 Table 68. 2txt - natural language generation GmbH (Germany) On-Premises Natural Language Generation Product
 Table 69. 2txt - natural language generation GmbH (Germany) Revenue in On-Premises Natural Language Generation Business (2019-2024) & (US$ Million)
 Table 70. 2txt - natural language generation GmbH (Germany) Recent Development
 Table 71. Linguastat Inc. (U.S.) Company Details
 Table 72. Linguastat Inc. (U.S.) Business Overview
 Table 73. Linguastat Inc. (U.S.) On-Premises Natural Language Generation Product
 Table 74. Linguastat Inc. (U.S.) Revenue in On-Premises Natural Language Generation Business (2019-2024) & (US$ Million)
 Table 75. Linguastat Inc. (U.S.) Recent Development
 Table 76. Textual Relations AB. (Gothenburg) Company Details
 Table 77. Textual Relations AB. (Gothenburg) Business Overview
 Table 78. Textual Relations AB. (Gothenburg) On-Premises Natural Language Generation Product
 Table 79. Textual Relations AB. (Gothenburg) Revenue in On-Premises Natural Language Generation Business (2019-2024) & (US$ Million)
 Table 80. Textual Relations AB. (Gothenburg) Recent Development
 Table 81. Newsrx. (U.S.) Company Details
 Table 82. Newsrx. (U.S.) Business Overview
 Table 83. Newsrx. (U.S.) On-Premises Natural Language Generation Product
 Table 84. Newsrx. (U.S.) Revenue in On-Premises Natural Language Generation Business (2019-2024) & (US$ Million)
 Table 85. Newsrx. (U.S.) Recent Development
 Table 86. Arria NLG (U.K.) Company Details
 Table 87. Arria NLG (U.K.) Business Overview
 Table 88. Arria NLG (U.K.) On-Premises Natural Language Generation Product
 Table 89. Arria NLG (U.K.) Revenue in On-Premises Natural Language Generation Business (2019-2024) & (US$ Million)
 Table 90. Arria NLG (U.K.) Recent Development
 Table 91. Artificial Solutions (Sweden) Company Details
 Table 92. Artificial Solutions (Sweden) Business Overview
 Table 93. Artificial Solutions (Sweden) On-Premises Natural Language Generation Product
 Table 94. Artificial Solutions (Sweden) Revenue in On-Premises Natural Language Generation Business (2019-2024) & (US$ Million)
 Table 95. Artificial Solutions (Sweden) Recent Development
 Table 96. Restresco (U.S.) Company Details
 Table 97. Restresco (U.S.) Business Overview
 Table 98. Restresco (U.S.) On-Premises Natural Language Generation Product
 Table 99. Restresco (U.S.) Revenue in On-Premises Natural Language Generation Business (2019-2024) & (US$ Million)
 Table 100. Restresco (U.S.) Recent Development
 Table 101. Conversica (U.S.) Company Details
 Table 102. Conversica (U.S.) Business Overview
 Table 103. Conversica (U.S.) On-Premises Natural Language Generation Product
 Table 104. Conversica (U.S.) Revenue in On-Premises Natural Language Generation Business (2019-2024) & (US$ Million)
 Table 105. Conversica (U.S.) Recent Development
 Table 106. NewsRx (U.S.) Company Details
 Table 107. NewsRx (U.S.) Business Overview
 Table 108. NewsRx (U.S.) On-Premises Natural Language Generation Product
 Table 109. NewsRx (U.S.) Revenue in On-Premises Natural Language Generation Business (2019-2024) & (US$ Million)
 Table 110. NewsRx (U.S.) Recent Development
 Table 111. CoGenTax Inc. (U.S.) Company Details
 Table 112. CoGenTax Inc. (U.S.) Business Overview
 Table 113. CoGenTax Inc. (U.S.) On-Premises Natural Language Generation Product
 Table 114. CoGenTax Inc. (U.S.) Revenue in On-Premises Natural Language Generation Business (2019-2024) & (US$ Million)
 Table 115. CoGenTax Inc. (U.S.) Recent Development
 Table 116. Phrasetech (Sweden) Company Details
 Table 117. Phrasetech (Sweden) Business Overview
 Table 118. Phrasetech (Sweden) On-Premises Natural Language Generation Product
 Table 119. Phrasetech (Sweden) Revenue in On-Premises Natural Language Generation Business (2019-2024) & (US$ Million)
 Table 120. Phrasetech (Sweden) Recent Development
 Table 121. vPhrase (India) Company Details
 Table 122. vPhrase (India) Business Overview
 Table 123. vPhrase (India) On-Premises Natural Language Generation Product
 Table 124. vPhrase (India) Revenue in On-Premises Natural Language Generation Business (2019-2024) & (US$ Million)
 Table 125. vPhrase (India) Recent Development
 Table 126. Research Programs/Design for This Report
 Table 127. Key Data Information from Secondary Sources
 Table 128. Key Data Information from Primary Sources
 Table 129. Authors List of This Report


List of Figures
 Figure 1. On-Premises Natural Language Generation Picture
 Figure 2. Global On-Premises Natural Language Generation Market Size Comparison by Type (2024-2030) & (US$ Million)
 Figure 3. Global On-Premises Natural Language Generation Market Share by Type: 2023 VS 2030
 Figure 4. Solution Features
 Figure 5. Services Features
 Figure 6. Global On-Premises Natural Language Generation Market Size by Application (2024-2030) & (US$ Million)
 Figure 7. Global On-Premises Natural Language Generation Market Share by Application: 2023 VS 2030
 Figure 8. Finance Case Studies
 Figure 9. Legal Case Studies
 Figure 10. Marketing and Sales Case Studies
 Figure 11. Operations Case Studies
 Figure 12. Human Resources Case Studies
 Figure 13. On-Premises Natural Language Generation Report Years Considered
 Figure 14. Global On-Premises Natural Language Generation Market Size (US$ Million), Year-over-Year: 2019-2030
 Figure 15. Global On-Premises Natural Language Generation Market Size, (US$ Million), 2019 VS 2023 VS 2030
 Figure 16. Global On-Premises Natural Language Generation Market Share by Region: 2023 VS 2030
 Figure 17. Global On-Premises Natural Language Generation Market Share by Players in 2023
 Figure 18. Global Top On-Premises Natural Language Generation Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in On-Premises Natural Language Generation as of 2023)
 Figure 19. The Top 10 and 5 Players Market Share by On-Premises Natural Language Generation Revenue in 2023
 Figure 20. North America On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 21. North America On-Premises Natural Language Generation Market Share by Country (2019-2030)
 Figure 22. United States On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 23. Canada On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 24. Europe On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 25. Europe On-Premises Natural Language Generation Market Share by Country (2019-2030)
 Figure 26. Germany On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 27. France On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 28. U.K. On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 29. Italy On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 30. Russia On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 31. Nordic Countries On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 32. Asia-Pacific On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 33. Asia-Pacific On-Premises Natural Language Generation Market Share by Region (2019-2030)
 Figure 34. China On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 35. Japan On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 36. South Korea On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 37. Southeast Asia On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 38. India On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 39. Australia On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 40. Latin America On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 41. Latin America On-Premises Natural Language Generation Market Share by Country (2019-2030)
 Figure 42. Mexico On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 43. Brazil On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 44. Middle East & Africa On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 45. Middle East & Africa On-Premises Natural Language Generation Market Share by Country (2019-2030)
 Figure 46. Turkey On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 47. Saudi Arabia On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 48. UAE On-Premises Natural Language Generation Market Size YoY Growth (2019-2030) & (US$ Million)
 Figure 49. Amazon Web Services, Inc. (U.S.) Revenue Growth Rate in On-Premises Natural Language Generation Business (2019-2024)
 Figure 50. IBM (U.S.) Revenue Growth Rate in On-Premises Natural Language Generation Business (2019-2024)
 Figure 51. Yseop (France) Revenue Growth Rate in On-Premises Natural Language Generation Business (2019-2024)
 Figure 52. AX Semantics (Germany) Revenue Growth Rate in On-Premises Natural Language Generation Business (2019-2024)
 Figure 53. 2txt - natural language generation GmbH (Germany) Revenue Growth Rate in On-Premises Natural Language Generation Business (2019-2024)
 Figure 54. Linguastat Inc. (U.S.) Revenue Growth Rate in On-Premises Natural Language Generation Business (2019-2024)
 Figure 55. Textual Relations AB. (Gothenburg) Revenue Growth Rate in On-Premises Natural Language Generation Business (2019-2024)
 Figure 56. Newsrx. (U.S.) Revenue Growth Rate in On-Premises Natural Language Generation Business (2019-2024)
 Figure 57. Arria NLG (U.K.) Revenue Growth Rate in On-Premises Natural Language Generation Business (2019-2024)
 Figure 58. Artificial Solutions (Sweden) Revenue Growth Rate in On-Premises Natural Language Generation Business (2019-2024)
 Figure 59. Restresco (U.S.) Revenue Growth Rate in On-Premises Natural Language Generation Business (2019-2024)
 Figure 60. Conversica (U.S.) Revenue Growth Rate in On-Premises Natural Language Generation Business (2019-2024)
 Figure 61. NewsRx (U.S.) Revenue Growth Rate in On-Premises Natural Language Generation Business (2019-2024)
 Figure 62. CoGenTax Inc. (U.S.) Revenue Growth Rate in On-Premises Natural Language Generation Business (2019-2024)
 Figure 63. Phrasetech (Sweden) Revenue Growth Rate in On-Premises Natural Language Generation Business (2019-2024)
 Figure 64. vPhrase (India) Revenue Growth Rate in On-Premises Natural Language Generation Business (2019-2024)
 Figure 65. Bottom-up and Top-down Approaches for This Report
 Figure 66. Data Triangulation
 Figure 67. Key Executives Interviewed
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