Report Scope & Overview:
Natural Language Generation (NLG) Market Overview:
Global Natural Language Generation (NLG) Market research provides insights into consumer behavior, industry trends, and market competition through the use of various research techniques, including surveys, interviews, and data analysis. The industry serves a wide range of clients, including businesses, government agencies, and non-profit organizations. Natural Language Generation (NLG) Market is highly diverse, with a range of services and specialties, including quantitative and qualitative research, brand research, product testing, customer satisfaction research, and competitive analysis.
Overall, Natural Language Generation (NLG) market plays a crucial role in helping businesses and organizations make informed decisions based on data-driven insights. As the demand for data-driven decision-making continues to grow, Natural Language Generation (NLG) market research is expected to experience further growth and innovation in the coming years.
Market Segmentations:
Global Natural Language Generation (NLG) Market: By Company
• Arria NLG
• AWS
• IBM
• Narrative Science
• Automated Insights
• Narrativa
• Yseop
• Retresco
• Artificial Solutions
• Phrasee
• AX Semantics
• CoGenTex
• Phrasetech
• NewsRx
• Conversica
• Natural Language Generation GmbH
• Narrative Wave
• vPhrase
• Linguastat
• Textual Relations
Global Natural Language Generation (NLG) Market: By Type
• On-premises
• Cloud
Global Natural Language Generation (NLG) Market: By Application
• BFSI
• Retail and eCommerce
• Government and Defense
• Healthcare and Life Sciences
• Manufacturing
• Energy and Utilities
• Telecom and IT
• Media and Entertainment
• Others
Global Natural Language Generation (NLG) Market: Regional Analysis
All the regional segmentation has been studied based on recent and future trends, and the market is forecasted throughout the prediction period. The countries covered in the regional analysis of the Global Natural Language Generation (NLG) market report are U.S., Canada, and Mexico in North America, Germany, France, U.K., Russia, Italy, Spain, Turkey, Netherlands, Switzerland, Belgium, and Rest of Europe in Europe, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, China, Japan, India, South Korea, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), and Argentina, Brazil, and Rest of South America as part of South America.
Reasons to Purchase Natural Language Generation (NLG) Market Report:
• To gain insights into market trends and dynamics: this reports provide valuable insights into industry trends and dynamics, including market size, growth rates, and key drivers and challenges.
• To identify key players and competitors: this research reports can help businesses identify key players and competitors in their industry, including their market share, strategies, and strengths and weaknesses.
• To understand consumer behavior: this research reports can provide valuable insights into consumer behavior, including their preferences, purchasing habits, and demographics.
• To evaluate market opportunities: this research reports can help businesses evaluate market opportunities, including potential new products or services, new markets, and emerging trends.
• To make informed business decisions: this research reports provide businesses with data-driven insights that can help them make informed business decisions, including strategic planning, product development, and marketing and advertising strategies.
Overall, market research reports provide businesses and organizations with valuable information that can help them make informed decisions and stay competitive in their industry. They can provide a solid foundation for business planning, strategy development, and decision-making.
Objectives of Natural Language Generation (NLG) Market Study:
The objectives of Natural Language Generation (NLG) market research report may vary depending on the specific needs and goals of the business or organization commissioning the report. However, some common objectives of market research reports include:
• Understanding the market size and potential: One of the primary objectives of Natural Language Generation (NLG) market research is to understand the size and potential of a particular market. This includes analyzing market trends and dynamics, identifying key players and competitors, and assessing the demand for products or services.
• Identifying target customers and segments: this market research reports can help businesses identify and understand their target customers and market segments, including their preferences, behaviors, and demographics. This information can be used to develop targeted marketing and advertising strategies.
• Evaluating product or service performance: this market research reports can provide valuable insights into the performance of products or services, including customer satisfaction, product usage, and product quality. This information can be used to improve products or services and enhance customer satisfaction.
• Assessing market opportunities and threats: this market research reports can help businesses identify potential market opportunities and threats, including emerging trends, competitive threats, and new market entrants. This information can be used to develop strategic plans and make informed business decisions.
• Developing effective marketing and advertising strategies: this market research reports can help businesses develop effective marketing and advertising strategies by providing insights into customer preferences and behavior, competitive dynamics, and market trends. This can help businesses improve brand awareness, customer engagement, and overall marketing effectiveness.
Overall, the objectives of Natural Language Generation (NLG) market research report are to provide businesses and organizations with valuable insights and data-driven recommendations that can help them make informed business decisions and stay competitive in their industry.
Global Natural Language Generation (NLG) Market research provides insights into consumer behavior, industry trends, and market competition through the use of various research techniques, including surveys, interviews, and data analysis. The industry serves a wide range of clients, including businesses, government agencies, and non-profit organizations. Natural Language Generation (NLG) Market is highly diverse, with a range of services and specialties, including quantitative and qualitative research, brand research, product testing, customer satisfaction research, and competitive analysis.
Overall, Natural Language Generation (NLG) market plays a crucial role in helping businesses and organizations make informed decisions based on data-driven insights. As the demand for data-driven decision-making continues to grow, Natural Language Generation (NLG) market research is expected to experience further growth and innovation in the coming years.
Market Segmentations:
Global Natural Language Generation (NLG) Market: By Company
• Arria NLG
• AWS
• IBM
• Narrative Science
• Automated Insights
• Narrativa
• Yseop
• Retresco
• Artificial Solutions
• Phrasee
• AX Semantics
• CoGenTex
• Phrasetech
• NewsRx
• Conversica
• Natural Language Generation GmbH
• Narrative Wave
• vPhrase
• Linguastat
• Textual Relations
Global Natural Language Generation (NLG) Market: By Type
• On-premises
• Cloud
Global Natural Language Generation (NLG) Market: By Application
• BFSI
• Retail and eCommerce
• Government and Defense
• Healthcare and Life Sciences
• Manufacturing
• Energy and Utilities
• Telecom and IT
• Media and Entertainment
• Others
Global Natural Language Generation (NLG) Market: Regional Analysis
All the regional segmentation has been studied based on recent and future trends, and the market is forecasted throughout the prediction period. The countries covered in the regional analysis of the Global Natural Language Generation (NLG) market report are U.S., Canada, and Mexico in North America, Germany, France, U.K., Russia, Italy, Spain, Turkey, Netherlands, Switzerland, Belgium, and Rest of Europe in Europe, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, China, Japan, India, South Korea, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), and Argentina, Brazil, and Rest of South America as part of South America.
Reasons to Purchase Natural Language Generation (NLG) Market Report:
• To gain insights into market trends and dynamics: this reports provide valuable insights into industry trends and dynamics, including market size, growth rates, and key drivers and challenges.
• To identify key players and competitors: this research reports can help businesses identify key players and competitors in their industry, including their market share, strategies, and strengths and weaknesses.
• To understand consumer behavior: this research reports can provide valuable insights into consumer behavior, including their preferences, purchasing habits, and demographics.
• To evaluate market opportunities: this research reports can help businesses evaluate market opportunities, including potential new products or services, new markets, and emerging trends.
• To make informed business decisions: this research reports provide businesses with data-driven insights that can help them make informed business decisions, including strategic planning, product development, and marketing and advertising strategies.
Overall, market research reports provide businesses and organizations with valuable information that can help them make informed decisions and stay competitive in their industry. They can provide a solid foundation for business planning, strategy development, and decision-making.
Objectives of Natural Language Generation (NLG) Market Study:
The objectives of Natural Language Generation (NLG) market research report may vary depending on the specific needs and goals of the business or organization commissioning the report. However, some common objectives of market research reports include:
• Understanding the market size and potential: One of the primary objectives of Natural Language Generation (NLG) market research is to understand the size and potential of a particular market. This includes analyzing market trends and dynamics, identifying key players and competitors, and assessing the demand for products or services.
• Identifying target customers and segments: this market research reports can help businesses identify and understand their target customers and market segments, including their preferences, behaviors, and demographics. This information can be used to develop targeted marketing and advertising strategies.
• Evaluating product or service performance: this market research reports can provide valuable insights into the performance of products or services, including customer satisfaction, product usage, and product quality. This information can be used to improve products or services and enhance customer satisfaction.
• Assessing market opportunities and threats: this market research reports can help businesses identify potential market opportunities and threats, including emerging trends, competitive threats, and new market entrants. This information can be used to develop strategic plans and make informed business decisions.
• Developing effective marketing and advertising strategies: this market research reports can help businesses develop effective marketing and advertising strategies by providing insights into customer preferences and behavior, competitive dynamics, and market trends. This can help businesses improve brand awareness, customer engagement, and overall marketing effectiveness.
Overall, the objectives of Natural Language Generation (NLG) market research report are to provide businesses and organizations with valuable insights and data-driven recommendations that can help them make informed business decisions and stay competitive in their industry.
Frequently Asked Questions
TABLE OF CONTENT
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Natural Language Generation (NLG) Market Size Growth Rate by Type: 2018 VS 2023 VS 2032
1.2.2 On-premises
1.2.3 Cloud
1.3 Market by Application
1.3.1 Global Natural Language Generation (NLG) Market Growth by Application: 2018 VS 2023 VS 2032
1.3.2 BFSI
1.3.3 Retail and eCommerce
1.3.4 Government and Defense
1.3.5 Healthcare and Life Sciences
1.3.6 Manufacturing
1.3.7 Energy and Utilities
1.3.8 Telecom and IT
1.3.9 Media and Entertainment
1.3.10 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Natural Language Generation (NLG) Market Perspective (2017-2032)
2.2 Natural Language Generation (NLG) Growth Trends by Region
2.2.1 Global Natural Language Generation (NLG) Market Size by Region: 2018 VS 2023 VS 2032
2.2.2 Natural Language Generation (NLG) Historic Market Size by Region (2017-2023)
2.2.3 Natural Language Generation (NLG) Forecasted Market Size by Region (2023-2032)
2.3 Natural Language Generation (NLG) Market Dynamics
2.3.1 Natural Language Generation (NLG) Industry Trends
2.3.2 Natural Language Generation (NLG) Market Drivers
2.3.3 Natural Language Generation (NLG) Market Challenges
2.3.4 Natural Language Generation (NLG) Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Natural Language Generation (NLG) Players by Revenue
3.1.1 Global Top Natural Language Generation (NLG) Players by Revenue (2017-2023)
3.1.2 Global Natural Language Generation (NLG) Revenue Market Share by Players (2017-2023)
3.2 Global Natural Language Generation (NLG) Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Natural Language Generation (NLG) Revenue
3.4 Global Natural Language Generation (NLG) Market Concentration Ratio
3.4.1 Global Natural Language Generation (NLG) Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Natural Language Generation (NLG) Revenue in 2022
3.5 Natural Language Generation (NLG) Key Players Head office and Area Served
3.6 Key Players Natural Language Generation (NLG) Product Solution and Service
3.7 Date of Enter into Natural Language Generation (NLG) Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Natural Language Generation (NLG) Breakdown Data by Type
4.1 Global Natural Language Generation (NLG) Historic Market Size by Type (2017-2023)
4.2 Global Natural Language Generation (NLG) Forecasted Market Size by Type (2023-2032)
5 Natural Language Generation (NLG) Breakdown Data by Application
5.1 Global Natural Language Generation (NLG) Historic Market Size by Application (2017-2023)
5.2 Global Natural Language Generation (NLG) Forecasted Market Size by Application (2023-2032)
6 North America
6.1 North America Natural Language Generation (NLG) Market Size (2017-2032)
6.2 North America Natural Language Generation (NLG) Market Growth Rate by Country: 2018 VS 2023 VS 2032
6.3 North America Natural Language Generation (NLG) Market Size by Country (2017-2023)
6.4 North America Natural Language Generation (NLG) Market Size by Country (2023-2032)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Natural Language Generation (NLG) Market Size (2017-2032)
7.2 Europe Natural Language Generation (NLG) Market Growth Rate by Country: 2018 VS 2023 VS 2032
7.3 Europe Natural Language Generation (NLG) Market Size by Country (2017-2023)
7.4 Europe Natural Language Generation (NLG) Market Size by Country (2023-2032)
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) Market Size (2017-2032)
8.2 Asia-Pacific Natural Language Generation (NLG) Market Growth Rate by Region: 2018 VS 2023 VS 2032
8.3 Asia-Pacific Natural Language Generation (NLG) Market Size by Region (2017-2023)
8.4 Asia-Pacific Natural Language Generation (NLG) Market Size by Region (2023-2032)
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) Market Size (2017-2032)
9.2 Latin America Natural Language Generation (NLG) Market Growth Rate by Country: 2018 VS 2023 VS 2032
9.3 Latin America Natural Language Generation (NLG) Market Size by Country (2017-2023)
9.4 Latin America Natural Language Generation (NLG) Market Size by Country (2023-2032)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Natural Language Generation (NLG) Market Size (2017-2032)
10.2 Middle East & Africa Natural Language Generation (NLG) Market Growth Rate by Country: 2018 VS 2023 VS 2032
10.3 Middle East & Africa Natural Language Generation (NLG) Market Size by Country (2017-2023)
10.4 Middle East & Africa Natural Language Generation (NLG) Market Size by Country (2023-2032)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Arria NLG
11.1.1 Arria NLG Company Detail
11.1.2 Arria NLG Business Overview
11.1.3 Arria NLG Natural Language Generation (NLG) Introduction
11.1.4 Arria NLG Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.1.5 Arria NLG Recent Development
11.2 AWS
11.2.1 AWS Company Detail
11.2.2 AWS Business Overview
11.2.3 AWS Natural Language Generation (NLG) Introduction
11.2.4 AWS Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.2.5 AWS Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM Natural Language Generation (NLG) Introduction
11.3.4 IBM Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.3.5 IBM Recent Development
11.4 Narrative Science
11.4.1 Narrative Science Company Detail
11.4.2 Narrative Science Business Overview
11.4.3 Narrative Science Natural Language Generation (NLG) Introduction
11.4.4 Narrative Science Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.4.5 Narrative Science Recent Development
11.5 Automated Insights
11.5.1 Automated Insights Company Detail
11.5.2 Automated Insights Business Overview
11.5.3 Automated Insights Natural Language Generation (NLG) Introduction
11.5.4 Automated Insights Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.5.5 Automated Insights Recent Development
11.6 Narrativa
11.6.1 Narrativa Company Detail
11.6.2 Narrativa Business Overview
11.6.3 Narrativa Natural Language Generation (NLG) Introduction
11.6.4 Narrativa Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.6.5 Narrativa 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) Introduction
11.7.4 Yseop Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.7.5 Yseop Recent Development
11.8 Retresco
11.8.1 Retresco Company Detail
11.8.2 Retresco Business Overview
11.8.3 Retresco Natural Language Generation (NLG) Introduction
11.8.4 Retresco Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.8.5 Retresco Recent Development
11.9 Artificial Solutions
11.9.1 Artificial Solutions Company Detail
11.9.2 Artificial Solutions Business Overview
11.9.3 Artificial Solutions Natural Language Generation (NLG) Introduction
11.9.4 Artificial Solutions Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.9.5 Artificial Solutions Recent Development
11.10 Phrasee
11.10.1 Phrasee Company Detail
11.10.2 Phrasee Business Overview
11.10.3 Phrasee Natural Language Generation (NLG) Introduction
11.10.4 Phrasee Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.10.5 Phrasee Recent Development
11.11 AX Semantics
11.11.1 AX Semantics Company Detail
11.11.2 AX Semantics Business Overview
11.11.3 AX Semantics Natural Language Generation (NLG) Introduction
11.11.4 AX Semantics Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.11.5 AX Semantics Recent Development
11.12 CoGenTex
11.12.1 CoGenTex Company Detail
11.12.2 CoGenTex Business Overview
11.12.3 CoGenTex Natural Language Generation (NLG) Introduction
11.12.4 CoGenTex Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.12.5 CoGenTex Recent Development
11.13 Phrasetech
11.13.1 Phrasetech Company Detail
11.13.2 Phrasetech Business Overview
11.13.3 Phrasetech Natural Language Generation (NLG) Introduction
11.13.4 Phrasetech Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.13.5 Phrasetech Recent Development
11.14 NewsRx
11.14.1 NewsRx Company Detail
11.14.2 NewsRx Business Overview
11.14.3 NewsRx Natural Language Generation (NLG) Introduction
11.14.4 NewsRx Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.14.5 NewsRx Recent Development
11.15 Conversica
11.15.1 Conversica Company Detail
11.15.2 Conversica Business Overview
11.15.3 Conversica Natural Language Generation (NLG) Introduction
11.15.4 Conversica Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.15.5 Conversica Recent Development
11.16 Natural Language Generation GmbH
11.16.1 Natural Language Generation GmbH Company Detail
11.16.2 Natural Language Generation GmbH Business Overview
11.16.3 Natural Language Generation GmbH Natural Language Generation (NLG) Introduction
11.16.4 Natural Language Generation GmbH Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.16.5 Natural Language Generation GmbH Recent Development
11.17 Narrative Wave
11.17.1 Narrative Wave Company Detail
11.17.2 Narrative Wave Business Overview
11.17.3 Narrative Wave Natural Language Generation (NLG) Introduction
11.17.4 Narrative Wave Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.17.5 Narrative Wave Recent Development
11.18 vPhrase
11.18.1 vPhrase Company Detail
11.18.2 vPhrase Business Overview
11.18.3 vPhrase Natural Language Generation (NLG) Introduction
11.18.4 vPhrase Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.18.5 vPhrase Recent Development
11.19 Linguastat
11.19.1 Linguastat Company Detail
11.19.2 Linguastat Business Overview
11.19.3 Linguastat Natural Language Generation (NLG) Introduction
11.19.4 Linguastat Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.19.5 Linguastat Recent Development
11.20 Textual Relations
11.20.1 Textual Relations Company Detail
11.20.2 Textual Relations Business Overview
11.20.3 Textual Relations Natural Language Generation (NLG) Introduction
11.20.4 Textual Relations Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.20.5 Textual Relations 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
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Natural Language Generation (NLG) Market Size Growth Rate by Type: 2018 VS 2023 VS 2032
1.2.2 On-premises
1.2.3 Cloud
1.3 Market by Application
1.3.1 Global Natural Language Generation (NLG) Market Growth by Application: 2018 VS 2023 VS 2032
1.3.2 BFSI
1.3.3 Retail and eCommerce
1.3.4 Government and Defense
1.3.5 Healthcare and Life Sciences
1.3.6 Manufacturing
1.3.7 Energy and Utilities
1.3.8 Telecom and IT
1.3.9 Media and Entertainment
1.3.10 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Natural Language Generation (NLG) Market Perspective (2017-2032)
2.2 Natural Language Generation (NLG) Growth Trends by Region
2.2.1 Global Natural Language Generation (NLG) Market Size by Region: 2018 VS 2023 VS 2032
2.2.2 Natural Language Generation (NLG) Historic Market Size by Region (2017-2023)
2.2.3 Natural Language Generation (NLG) Forecasted Market Size by Region (2023-2032)
2.3 Natural Language Generation (NLG) Market Dynamics
2.3.1 Natural Language Generation (NLG) Industry Trends
2.3.2 Natural Language Generation (NLG) Market Drivers
2.3.3 Natural Language Generation (NLG) Market Challenges
2.3.4 Natural Language Generation (NLG) Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Natural Language Generation (NLG) Players by Revenue
3.1.1 Global Top Natural Language Generation (NLG) Players by Revenue (2017-2023)
3.1.2 Global Natural Language Generation (NLG) Revenue Market Share by Players (2017-2023)
3.2 Global Natural Language Generation (NLG) Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Natural Language Generation (NLG) Revenue
3.4 Global Natural Language Generation (NLG) Market Concentration Ratio
3.4.1 Global Natural Language Generation (NLG) Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Natural Language Generation (NLG) Revenue in 2022
3.5 Natural Language Generation (NLG) Key Players Head office and Area Served
3.6 Key Players Natural Language Generation (NLG) Product Solution and Service
3.7 Date of Enter into Natural Language Generation (NLG) Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Natural Language Generation (NLG) Breakdown Data by Type
4.1 Global Natural Language Generation (NLG) Historic Market Size by Type (2017-2023)
4.2 Global Natural Language Generation (NLG) Forecasted Market Size by Type (2023-2032)
5 Natural Language Generation (NLG) Breakdown Data by Application
5.1 Global Natural Language Generation (NLG) Historic Market Size by Application (2017-2023)
5.2 Global Natural Language Generation (NLG) Forecasted Market Size by Application (2023-2032)
6 North America
6.1 North America Natural Language Generation (NLG) Market Size (2017-2032)
6.2 North America Natural Language Generation (NLG) Market Growth Rate by Country: 2018 VS 2023 VS 2032
6.3 North America Natural Language Generation (NLG) Market Size by Country (2017-2023)
6.4 North America Natural Language Generation (NLG) Market Size by Country (2023-2032)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Natural Language Generation (NLG) Market Size (2017-2032)
7.2 Europe Natural Language Generation (NLG) Market Growth Rate by Country: 2018 VS 2023 VS 2032
7.3 Europe Natural Language Generation (NLG) Market Size by Country (2017-2023)
7.4 Europe Natural Language Generation (NLG) Market Size by Country (2023-2032)
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) Market Size (2017-2032)
8.2 Asia-Pacific Natural Language Generation (NLG) Market Growth Rate by Region: 2018 VS 2023 VS 2032
8.3 Asia-Pacific Natural Language Generation (NLG) Market Size by Region (2017-2023)
8.4 Asia-Pacific Natural Language Generation (NLG) Market Size by Region (2023-2032)
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) Market Size (2017-2032)
9.2 Latin America Natural Language Generation (NLG) Market Growth Rate by Country: 2018 VS 2023 VS 2032
9.3 Latin America Natural Language Generation (NLG) Market Size by Country (2017-2023)
9.4 Latin America Natural Language Generation (NLG) Market Size by Country (2023-2032)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Natural Language Generation (NLG) Market Size (2017-2032)
10.2 Middle East & Africa Natural Language Generation (NLG) Market Growth Rate by Country: 2018 VS 2023 VS 2032
10.3 Middle East & Africa Natural Language Generation (NLG) Market Size by Country (2017-2023)
10.4 Middle East & Africa Natural Language Generation (NLG) Market Size by Country (2023-2032)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Arria NLG
11.1.1 Arria NLG Company Detail
11.1.2 Arria NLG Business Overview
11.1.3 Arria NLG Natural Language Generation (NLG) Introduction
11.1.4 Arria NLG Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.1.5 Arria NLG Recent Development
11.2 AWS
11.2.1 AWS Company Detail
11.2.2 AWS Business Overview
11.2.3 AWS Natural Language Generation (NLG) Introduction
11.2.4 AWS Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.2.5 AWS Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM Natural Language Generation (NLG) Introduction
11.3.4 IBM Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.3.5 IBM Recent Development
11.4 Narrative Science
11.4.1 Narrative Science Company Detail
11.4.2 Narrative Science Business Overview
11.4.3 Narrative Science Natural Language Generation (NLG) Introduction
11.4.4 Narrative Science Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.4.5 Narrative Science Recent Development
11.5 Automated Insights
11.5.1 Automated Insights Company Detail
11.5.2 Automated Insights Business Overview
11.5.3 Automated Insights Natural Language Generation (NLG) Introduction
11.5.4 Automated Insights Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.5.5 Automated Insights Recent Development
11.6 Narrativa
11.6.1 Narrativa Company Detail
11.6.2 Narrativa Business Overview
11.6.3 Narrativa Natural Language Generation (NLG) Introduction
11.6.4 Narrativa Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.6.5 Narrativa 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) Introduction
11.7.4 Yseop Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.7.5 Yseop Recent Development
11.8 Retresco
11.8.1 Retresco Company Detail
11.8.2 Retresco Business Overview
11.8.3 Retresco Natural Language Generation (NLG) Introduction
11.8.4 Retresco Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.8.5 Retresco Recent Development
11.9 Artificial Solutions
11.9.1 Artificial Solutions Company Detail
11.9.2 Artificial Solutions Business Overview
11.9.3 Artificial Solutions Natural Language Generation (NLG) Introduction
11.9.4 Artificial Solutions Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.9.5 Artificial Solutions Recent Development
11.10 Phrasee
11.10.1 Phrasee Company Detail
11.10.2 Phrasee Business Overview
11.10.3 Phrasee Natural Language Generation (NLG) Introduction
11.10.4 Phrasee Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.10.5 Phrasee Recent Development
11.11 AX Semantics
11.11.1 AX Semantics Company Detail
11.11.2 AX Semantics Business Overview
11.11.3 AX Semantics Natural Language Generation (NLG) Introduction
11.11.4 AX Semantics Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.11.5 AX Semantics Recent Development
11.12 CoGenTex
11.12.1 CoGenTex Company Detail
11.12.2 CoGenTex Business Overview
11.12.3 CoGenTex Natural Language Generation (NLG) Introduction
11.12.4 CoGenTex Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.12.5 CoGenTex Recent Development
11.13 Phrasetech
11.13.1 Phrasetech Company Detail
11.13.2 Phrasetech Business Overview
11.13.3 Phrasetech Natural Language Generation (NLG) Introduction
11.13.4 Phrasetech Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.13.5 Phrasetech Recent Development
11.14 NewsRx
11.14.1 NewsRx Company Detail
11.14.2 NewsRx Business Overview
11.14.3 NewsRx Natural Language Generation (NLG) Introduction
11.14.4 NewsRx Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.14.5 NewsRx Recent Development
11.15 Conversica
11.15.1 Conversica Company Detail
11.15.2 Conversica Business Overview
11.15.3 Conversica Natural Language Generation (NLG) Introduction
11.15.4 Conversica Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.15.5 Conversica Recent Development
11.16 Natural Language Generation GmbH
11.16.1 Natural Language Generation GmbH Company Detail
11.16.2 Natural Language Generation GmbH Business Overview
11.16.3 Natural Language Generation GmbH Natural Language Generation (NLG) Introduction
11.16.4 Natural Language Generation GmbH Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.16.5 Natural Language Generation GmbH Recent Development
11.17 Narrative Wave
11.17.1 Narrative Wave Company Detail
11.17.2 Narrative Wave Business Overview
11.17.3 Narrative Wave Natural Language Generation (NLG) Introduction
11.17.4 Narrative Wave Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.17.5 Narrative Wave Recent Development
11.18 vPhrase
11.18.1 vPhrase Company Detail
11.18.2 vPhrase Business Overview
11.18.3 vPhrase Natural Language Generation (NLG) Introduction
11.18.4 vPhrase Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.18.5 vPhrase Recent Development
11.19 Linguastat
11.19.1 Linguastat Company Detail
11.19.2 Linguastat Business Overview
11.19.3 Linguastat Natural Language Generation (NLG) Introduction
11.19.4 Linguastat Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.19.5 Linguastat Recent Development
11.20 Textual Relations
11.20.1 Textual Relations Company Detail
11.20.2 Textual Relations Business Overview
11.20.3 Textual Relations Natural Language Generation (NLG) Introduction
11.20.4 Textual Relations Revenue in Natural Language Generation (NLG) Business (2017-2023)
11.20.5 Textual Relations 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
Arria NLG
AWS
IBM
Narrative Science
Automated Insights
Narrativa
Yseop
Retresco
Artificial Solutions
Phrasee
AX Semantics
CoGenTex
Phrasetech
NewsRx
Conversica
Natural Language Generation GmbH
Narrative Wave
vPhrase
Linguastat
Textual Relations
AWS
IBM
Narrative Science
Automated Insights
Narrativa
Yseop
Retresco
Artificial Solutions
Phrasee
AX Semantics
CoGenTex
Phrasetech
NewsRx
Conversica
Natural Language Generation GmbH
Narrative Wave
vPhrase
Linguastat
Textual Relations
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