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 Cloud Natural Language Generation market was valued at US$ 538 million in 2023 and is anticipated to reach US$ 2231 million by 2030, witnessing a CAGR of 22.6% during the forecast period 2024-2030.
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 Cloud 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 Cloud Natural Language Generation.
The Cloud 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 Cloud 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 Cloud 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
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)
Segment by Type
Solution
Services
Segment by Application
Finance
Legal
Marketing and Sales
Operations
Human Resources
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
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 Cloud 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.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Cloud 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 Cloud 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 Cloud Natural Language Generation Market Perspective (2019-2030)
2.2 Global Cloud Natural Language Generation Growth Trends by Region
2.2.1 Global Cloud Natural Language Generation Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Cloud Natural Language Generation Historic Market Size by Region (2019-2024)
2.2.3 Cloud Natural Language Generation Forecasted Market Size by Region (2025-2030)
2.3 Cloud Natural Language Generation Market Dynamics
2.3.1 Cloud Natural Language Generation Industry Trends
2.3.2 Cloud Natural Language Generation Market Drivers
2.3.3 Cloud Natural Language Generation Market Challenges
2.3.4 Cloud Natural Language Generation Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Cloud Natural Language Generation Players by Revenue
3.1.1 Global Top Cloud Natural Language Generation Players by Revenue (2019-2024)
3.1.2 Global Cloud Natural Language Generation Revenue Market Share by Players (2019-2024)
3.2 Global Cloud Natural Language Generation Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Cloud Natural Language Generation Revenue
3.4 Global Cloud Natural Language Generation Market Concentration Ratio
3.4.1 Global Cloud Natural Language Generation Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Cloud Natural Language Generation Revenue in 2023
3.5 Global Key Players of Cloud Natural Language Generation Head office and Area Served
3.6 Global Key Players of Cloud Natural Language Generation, Product and Application
3.7 Global Key Players of Cloud Natural Language Generation, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Cloud Natural Language Generation Breakdown Data by Type
4.1 Global Cloud Natural Language Generation Historic Market Size by Type (2019-2024)
4.2 Global Cloud Natural Language Generation Forecasted Market Size by Type (2025-2030)
5 Cloud Natural Language Generation Breakdown Data by Application
5.1 Global Cloud Natural Language Generation Historic Market Size by Application (2019-2024)
5.2 Global Cloud Natural Language Generation Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Cloud Natural Language Generation Market Size (2019-2030)
6.2 North America Cloud Natural Language Generation Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Cloud Natural Language Generation Market Size by Country (2019-2024)
6.4 North America Cloud Natural Language Generation Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Cloud Natural Language Generation Market Size (2019-2030)
7.2 Europe Cloud Natural Language Generation Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Cloud Natural Language Generation Market Size by Country (2019-2024)
7.4 Europe Cloud 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 Cloud Natural Language Generation Market Size (2019-2030)
8.2 Asia-Pacific Cloud Natural Language Generation Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Cloud Natural Language Generation Market Size by Region (2019-2024)
8.4 Asia-Pacific Cloud 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 Cloud Natural Language Generation Market Size (2019-2030)
9.2 Latin America Cloud Natural Language Generation Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Cloud Natural Language Generation Market Size by Country (2019-2024)
9.4 Latin America Cloud Natural Language Generation Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Cloud Natural Language Generation Market Size (2019-2030)
10.2 Middle East & Africa Cloud Natural Language Generation Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Cloud Natural Language Generation Market Size by Country (2019-2024)
10.4 Middle East & Africa Cloud 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.) Cloud Natural Language Generation Introduction
11.1.4 Amazon Web Services, Inc. (U.S.) Revenue in Cloud 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.) Cloud Natural Language Generation Introduction
11.2.4 IBM (U.S.) Revenue in Cloud 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) Cloud Natural Language Generation Introduction
11.3.4 Yseop (France) Revenue in Cloud 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) Cloud Natural Language Generation Introduction
11.4.4 AX Semantics (Germany) Revenue in Cloud 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) Cloud Natural Language Generation Introduction
11.5.4 2txt - natural language generation GmbH (Germany) Revenue in Cloud 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.) Cloud Natural Language Generation Introduction
11.6.4 Linguastat Inc. (U.S.) Revenue in Cloud 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) Cloud Natural Language Generation Introduction
11.7.4 Textual Relations AB. (Gothenburg) Revenue in Cloud 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.) Cloud Natural Language Generation Introduction
11.8.4 Newsrx. (U.S.) Revenue in Cloud 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.) Cloud Natural Language Generation Introduction
11.9.4 Arria NLG (U.K.) Revenue in Cloud 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) Cloud Natural Language Generation Introduction
11.10.4 Artificial Solutions (Sweden) Revenue in Cloud 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.) Cloud Natural Language Generation Introduction
11.11.4 Restresco (U.S.) Revenue in Cloud 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.) Cloud Natural Language Generation Introduction
11.12.4 Conversica (U.S.) Revenue in Cloud 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.) Cloud Natural Language Generation Introduction
11.13.4 NewsRx (U.S.) Revenue in Cloud 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.) Cloud Natural Language Generation Introduction
11.14.4 CoGenTax Inc. (U.S.) Revenue in Cloud 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) Cloud Natural Language Generation Introduction
11.15.4 Phrasetech (Sweden) Revenue in Cloud 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) Cloud Natural Language Generation Introduction
11.16.4 vPhrase (India) Revenue in Cloud 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
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)
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*If Applicable.
