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Global Natural Language Generation (NLG) Software Market Research Report 2024
Synopsis
Natural language generation (NLG) is the process of artificial intelligence interpreting data and presenting or displaying the data in a digestible, easily understood manner.
The global Natural Language Generation (NLG) Software market was valued at US$ 2208 million in 2023 and is anticipated to reach US$ 2618.2 million by 2030, witnessing a CAGR of 2.5% during the forecast period 2024-2030.
North American market for Natural Language Generation (NLG) Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Natural Language Generation (NLG) Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Natural Language Generation (NLG) Software in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Natural Language Generation (NLG) Software include IBM, Amazon, Google, Automated Insights, ARRIA NLG, AX Semantics, Yseop, Artificial Solutions and Narrativa, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Natural Language Generation (NLG) Software, 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 Natural Language Generation (NLG) Software.
Report Scope
The Natural Language Generation (NLG) Software market size, estimations, and forecasts are provided in terms of 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 Natural Language Generation (NLG) Software 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 Natural Language Generation (NLG) Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price 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
IBM
Amazon
Google
Automated Insights
ARRIA NLG
AX Semantics
Yseop
Artificial Solutions
Narrativa
Retresco
Phrasee
Conversica
VPhrase
Phrasetech
CoGenTex
Textual
2txt - natural language generation
Segment by Type
On-Premises
Cloud Based
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
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
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 Natural Language Generation (NLG) Software companies’ 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.
Natural language generation (NLG) is the process of artificial intelligence interpreting data and presenting or displaying the data in a digestible, easily understood manner.
The global Natural Language Generation (NLG) Software market was valued at US$ 2208 million in 2023 and is anticipated to reach US$ 2618.2 million by 2030, witnessing a CAGR of 2.5% during the forecast period 2024-2030.
North American market for Natural Language Generation (NLG) Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Natural Language Generation (NLG) Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Natural Language Generation (NLG) Software in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Natural Language Generation (NLG) Software include IBM, Amazon, Google, Automated Insights, ARRIA NLG, AX Semantics, Yseop, Artificial Solutions and Narrativa, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Natural Language Generation (NLG) Software, 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 Natural Language Generation (NLG) Software.
Report Scope
The Natural Language Generation (NLG) Software market size, estimations, and forecasts are provided in terms of 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 Natural Language Generation (NLG) Software 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 Natural Language Generation (NLG) Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price 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
IBM
Amazon
Automated Insights
ARRIA NLG
AX Semantics
Yseop
Artificial Solutions
Narrativa
Retresco
Phrasee
Conversica
VPhrase
Phrasetech
CoGenTex
Textual
2txt - natural language generation
Segment by Type
On-Premises
Cloud Based
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
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
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 Natural Language Generation (NLG) Software companies’ 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Natural Language Generation (NLG) Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-Premises
1.2.3 Cloud Based
1.3 Market by Application
1.3.1 Global Natural Language Generation (NLG) Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Natural Language Generation (NLG) Software Market Perspective (2019-2030)
2.2 Natural Language Generation (NLG) Software Growth Trends by Region
2.2.1 Global Natural Language Generation (NLG) Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Natural Language Generation (NLG) Software Historic Market Size by Region (2019-2024)
2.2.3 Natural Language Generation (NLG) Software Forecasted Market Size by Region (2025-2030)
2.3 Natural Language Generation (NLG) Software Market Dynamics
2.3.1 Natural Language Generation (NLG) Software Industry Trends
2.3.2 Natural Language Generation (NLG) Software Market Drivers
2.3.3 Natural Language Generation (NLG) Software Market Challenges
2.3.4 Natural Language Generation (NLG) Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Natural Language Generation (NLG) Software Players by Revenue
3.1.1 Global Top Natural Language Generation (NLG) Software Players by Revenue (2019-2024)
3.1.2 Global Natural Language Generation (NLG) Software Revenue Market Share by Players (2019-2024)
3.2 Global Natural Language Generation (NLG) Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Natural Language Generation (NLG) Software Revenue
3.4 Global Natural Language Generation (NLG) Software Market Concentration Ratio
3.4.1 Global Natural Language Generation (NLG) Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Natural Language Generation (NLG) Software Revenue in 2023
3.5 Natural Language Generation (NLG) Software Key Players Head office and Area Served
3.6 Key Players Natural Language Generation (NLG) Software Product Solution and Service
3.7 Date of Enter into Natural Language Generation (NLG) Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Natural Language Generation (NLG) Software Breakdown Data by Type
4.1 Global Natural Language Generation (NLG) Software Historic Market Size by Type (2019-2024)
4.2 Global Natural Language Generation (NLG) Software Forecasted Market Size by Type (2025-2030)
5 Natural Language Generation (NLG) Software Breakdown Data by Application
5.1 Global Natural Language Generation (NLG) Software Historic Market Size by Application (2019-2024)
5.2 Global Natural Language Generation (NLG) Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Natural Language Generation (NLG) Software Market Size (2019-2030)
6.2 North America Natural Language Generation (NLG) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Natural Language Generation (NLG) Software Market Size by Country (2019-2024)
6.4 North America Natural Language Generation (NLG) Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Natural Language Generation (NLG) Software Market Size (2019-2030)
7.2 Europe Natural Language Generation (NLG) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Natural Language Generation (NLG) Software Market Size by Country (2019-2024)
7.4 Europe Natural Language Generation (NLG) Software 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 Natural Language Generation (NLG) Software Market Size (2019-2030)
8.2 Asia-Pacific Natural Language Generation (NLG) Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Natural Language Generation (NLG) Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Natural Language Generation (NLG) Software 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 Natural Language Generation (NLG) Software Market Size (2019-2030)
9.2 Latin America Natural Language Generation (NLG) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Natural Language Generation (NLG) Software Market Size by Country (2019-2024)
9.4 Latin America Natural Language Generation (NLG) Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Natural Language Generation (NLG) Software Market Size (2019-2030)
10.2 Middle East & Africa Natural Language Generation (NLG) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Natural Language Generation (NLG) Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Natural Language Generation (NLG) Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Natural Language Generation (NLG) Software Introduction
11.1.4 IBM Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Amazon
11.2.1 Amazon Company Detail
11.2.2 Amazon Business Overview
11.2.3 Amazon Natural Language Generation (NLG) Software Introduction
11.2.4 Amazon Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.2.5 Amazon Recent Development
11.3 Google
11.3.1 Google Company Detail
11.3.2 Google Business Overview
11.3.3 Google Natural Language Generation (NLG) Software Introduction
11.3.4 Google Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.3.5 Google Recent Development
11.4 Automated Insights
11.4.1 Automated Insights Company Detail
11.4.2 Automated Insights Business Overview
11.4.3 Automated Insights Natural Language Generation (NLG) Software Introduction
11.4.4 Automated Insights Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.4.5 Automated Insights Recent Development
11.5 ARRIA NLG
11.5.1 ARRIA NLG Company Detail
11.5.2 ARRIA NLG Business Overview
11.5.3 ARRIA NLG Natural Language Generation (NLG) Software Introduction
11.5.4 ARRIA NLG Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.5.5 ARRIA NLG Recent Development
11.6 AX Semantics
11.6.1 AX Semantics Company Detail
11.6.2 AX Semantics Business Overview
11.6.3 AX Semantics Natural Language Generation (NLG) Software Introduction
11.6.4 AX Semantics Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.6.5 AX Semantics Recent Development
11.7 Yseop
11.7.1 Yseop Company Detail
11.7.2 Yseop Business Overview
11.7.3 Yseop Natural Language Generation (NLG) Software Introduction
11.7.4 Yseop Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.7.5 Yseop Recent Development
11.8 Artificial Solutions
11.8.1 Artificial Solutions Company Detail
11.8.2 Artificial Solutions Business Overview
11.8.3 Artificial Solutions Natural Language Generation (NLG) Software Introduction
11.8.4 Artificial Solutions Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.8.5 Artificial Solutions Recent Development
11.9 Narrativa
11.9.1 Narrativa Company Detail
11.9.2 Narrativa Business Overview
11.9.3 Narrativa Natural Language Generation (NLG) Software Introduction
11.9.4 Narrativa Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.9.5 Narrativa Recent Development
11.10 Retresco
11.10.1 Retresco Company Detail
11.10.2 Retresco Business Overview
11.10.3 Retresco Natural Language Generation (NLG) Software Introduction
11.10.4 Retresco Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.10.5 Retresco Recent Development
11.11 Phrasee
11.11.1 Phrasee Company Detail
11.11.2 Phrasee Business Overview
11.11.3 Phrasee Natural Language Generation (NLG) Software Introduction
11.11.4 Phrasee Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.11.5 Phrasee Recent Development
11.12 Conversica
11.12.1 Conversica Company Detail
11.12.2 Conversica Business Overview
11.12.3 Conversica Natural Language Generation (NLG) Software Introduction
11.12.4 Conversica Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.12.5 Conversica Recent Development
11.13 VPhrase
11.13.1 VPhrase Company Detail
11.13.2 VPhrase Business Overview
11.13.3 VPhrase Natural Language Generation (NLG) Software Introduction
11.13.4 VPhrase Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.13.5 VPhrase Recent Development
11.14 Phrasetech
11.14.1 Phrasetech Company Detail
11.14.2 Phrasetech Business Overview
11.14.3 Phrasetech Natural Language Generation (NLG) Software Introduction
11.14.4 Phrasetech Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.14.5 Phrasetech Recent Development
11.15 CoGenTex
11.15.1 CoGenTex Company Detail
11.15.2 CoGenTex Business Overview
11.15.3 CoGenTex Natural Language Generation (NLG) Software Introduction
11.15.4 CoGenTex Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.15.5 CoGenTex Recent Development
11.16 Textual
11.16.1 Textual Company Detail
11.16.2 Textual Business Overview
11.16.3 Textual Natural Language Generation (NLG) Software Introduction
11.16.4 Textual Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.16.5 Textual Recent Development
11.17 2txt - natural language generation
11.17.1 2txt - natural language generation Company Detail
11.17.2 2txt - natural language generation Business Overview
11.17.3 2txt - natural language generation Natural Language Generation (NLG) Software Introduction
11.17.4 2txt - natural language generation Revenue in Natural Language Generation (NLG) Software Business (2019-2024)
11.17.5 2txt - natural language generation Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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