Natural Language Generation Market Synopsis:
Natural Language Generation Market Size Was Valued at USD 579.4 Million in 2023, and is Projected to Reach USD 1711.65 Million by 2032, Growing at a CAGR of 12.79% from 2024-2032.
Currently, the Natural Language Generation (NLG) Market is experiencing huge growth as more organizations look for AI solutions that can write comprehensive human-like articles from structured data. NLG systems are employed in various businesses including fiscal, medical, commercial, and media in various uses such as record generation, customer relations, and content generation. These solutions do more than improve efficiency through increasing automation to diminish manual labor, or the customisation and data-driven delivery of content at scale. Increased demand for faced recognition, adding AI & machine learning across over industries is a strong driver for the market.
It classifies the market based on its deployment models–on premise and on cloud, the components included- software and services, and the applications of big data platforms. Hybrid and/or Cloud-based are preferred because these solution types can scale easily and are relatively inexpensive, plus they can be easily integrated with an organization’s present infrastructure. Businesses are employing NLG application for data analysis to facilitate choices based on compiled vast data. However, the combination with Natural Language Processing (NLP) as well as the utilization of analytics tools are contributing to its capacity for real-time data processing and, thus, promoting its application.
Regionally, North America continues to possess the greatest market share of NLG due to fundamentally established advanced technological companies, positive development of the IT setup and high capital expenditure in AI research and development. At the same time, the Asia Pacific area is expected to show a considerable level of growth throughout the forecast period as more and more emerging markets such as China and India pave way to more digital transformation and AI application. However, there are some factors like data privacy covering, requirement of high-quality training data, and lack of experience by organizations to implement NLG solution which can slow down the market in some regions.
Natural Language Generation Market Trend Analysis:
Integration with Business Intelligence Tools
- Another trend advancing in the NLG Market is its incorporation with BI tools to provide prompt insights from data analysis. This trend is observable especially in financial, retail sectors, and the healthcare industry in that decision makers in these industries need the gist of data in form of information which can guide their decisions in real-time from large complex datasets. When BI is integrated with NLG, different businesses can be able to create text-based reports & summaries from the well-structured big data and enable other ordinary users to come up with different decisions from the results generated through BI platforms. This integration is creating a need for NLG solutions that must work well with already established BI platforms.
Personalized Content Generation
- One more remarkable tendency observed on the NLG market is the augmentation of the NLG applications for generating individualized content, especially for e-commerce and marketing services and product promotion. While businesses are under increasing pressure to optimize client interactions, NLG systems are being used to create personalized recommendations, descriptions of products or services as well as appropriate marketing messages within the context of client behaviours or stated interests. This approach does not only improve the level of customers’ engagement but also enhances the rate of utilization on NLG for production of contents and automation of customer interactions.
Natural Language Generation Market Segment Analysis:
Natural Language Generation Market is Segmented on the basis of Component, Application, Business Function, Deployment Model, Organization Size, Industry Vertical, and Region
By Component, Software segment is expected to dominate the market during the forecast period
- The segments of the components in the Natural Language Generation (NLG) Market are mostly Software as well as Services. The software segment has maximum market share because NLG solutions are integrated into enterprise applications as a standalone product or used as a solution to integrate into other business systems that help organizations develop auto generated contents and other analytic data. These software solutions are progressively more cloud-based, which allows scalability, flexibility and cost-saving. For its part, the services segment which consists of implementation, consulting and support services is instrumental in helping businesses with technology deployment and integration of NLG technologies. With regard to the growth in demand for individual solutions, it can be assumed that the growth of the services segment will allow enterprises using NLG systems to receive individual integrations and further technical support for the activation of NLG systems.
By Application, Fraud Detection and Anti-Money Laundering segment expected to held the largest share
- The Natural Language Generation (NLG) Market is applied in various important fields, such as Fraud Detection and Anti-Money Laundering (AML), Predictive Maintenance, Risk and Compliance Management, Customer Experience Management, and so on. In fraud detection and AML, NLG provides the means to synthesise structured language from the large datasets, making it easier to accomplish quick propensity analysis and identify undesirable actions. In predictive maintenance, it translates sensor data into textual information for the maintenance crews thus increasing operational productivity. In risk and compliance management, NLG creates compliance reports, allowing the business to remain on top of compliance issues. As for customer experience management, NLG is utilized in the generation of individualized communication which in turn enhances customers relations and their experience. These applications demonstrate the increasing role of NLG in the calculations, processing of input data, and the generation of comprehensible and usable content for different sectors.
Natural Language Generation Market Regional Insights:
North America is Expected to Dominate the Market Over the Forecast period
- North America is anticipated to be the largest region for the Natural Language Generation (NLG) Market within the upcoming years due to the region’s well-developed technological base and high willingness to invest in technologies such as AI and ML and presence of key players catering to the global NLG market. The United States stands out as one of the best markets where industries such as finance, healthcare, and e-commerce increasingly invest in advanced technologies, including natural language generation for automating reports and contents and interacting with customers. Moreover, the increasing trends of using data analytics in decision-making and, real-time analytics in North America are boosting the uptake of NLG solutions putting this region as the market leader.
Active Key Players in the Natural Language Generation Market:
- 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)
- Other Active Players
Key Industry Development in the Natural Language Generation Market:
- In July 2024, Cognizant and Yseop revealed a partnership plan to enhance medical writing via Generative AI. The collaboration is anticipated to assist in enhancing the development process of new medications and accelerate their entry into the market.
- In March 2023, Amazon partnered with IIT Bombay to introduce the Amazon IIT–Bombay AI-ML Initiative. This program is promoting advanced research in machine learning and artificial intelligence in the areas of language, speech, and multimodal AI.
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Natural Language Generation Market |
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Base Year: |
2023 |
Forecast Period: |
2024-2032 |
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Historical Data: |
2017 to 2023 |
Market Size in 2023: |
USD 579.4 Million |
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Forecast Period 2024-32 CAGR: |
12.79% |
Market Size in 2032: |
USD 1711.65 Million |
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Segments Covered: |
By Component |
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By Application |
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Business Function |
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Deployment Model |
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Organization Size |
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Industry Vertical |
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By Region |
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Key Market Drivers: |
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Key Market Restraints: |
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Key Opportunities: |
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Companies Covered in the report: |
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1.1 Scope and Coverage
Chapter 2:Executive Summary
Chapter 3: Market Landscape
3.1 Market Dynamics
3.1.1 Drivers
3.1.2 Restraints
3.1.3 Opportunities
3.1.4 Challenges
3.2 Market Trend Analysis
3.3 PESTLE Analysis
3.4 Porter's Five Forces Analysis
3.5 Industry Value Chain Analysis
3.6 Ecosystem
3.7 Regulatory Landscape
3.8 Price Trend Analysis
3.9 Patent Analysis
3.10 Technology Evolution
3.11 Investment Pockets
3.12 Import-Export Analysis
Chapter 4: Natural Language Generation Market by Component (2018-2032)
4.1 Natural Language Generation Market Snapshot and Growth Engine
4.2 Market Overview
4.3 Software
4.3.1 Introduction and Market Overview
4.3.2 Historic and Forecasted Market Size in Value USD and Volume Units
4.3.3 Key Market Trends, Growth Factors, and Opportunities
4.3.4 Geographic Segmentation Analysis
4.4 Services
Chapter 5: Natural Language Generation Market by Application (2018-2032)
5.1 Natural Language Generation Market Snapshot and Growth Engine
5.2 Market Overview
5.3 Fraud Detection and Anti-Money Laundering
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size in Value USD and Volume Units
5.3.3 Key Market Trends, Growth Factors, and Opportunities
5.3.4 Geographic Segmentation Analysis
5.4 Predictive Maintenance
5.5 Risk and Compliance Management
5.6 Customer Experience Management
5.7 Others
5.8 Business Function
5.9 Finance
5.10 Legal
5.11 Marketing and Sales
5.12 Operations
5.13 Human Resources
5.14 Deployment Model
5.15 Cloud
5.16 On-Premises
5.17 Organization Size
5.18 Small and Medium-Sized Enterprises
5.19 Large Enterprises
5.20 Industry Vertical
5.21 Banking
5.22 Financial Services and Insurance
5.23 Retail and Ecommerce
5.24 Government and Defence
5.25 Healthcare and Life Sciences
5.26 Manufacturing
5.27 Telecom and IT
5.28 Media and Entertainment
5.29 Energy and Utilities
5.30 Others
Chapter 6: Company Profiles and Competitive Analysis
6.1 Competitive Landscape
6.1.1 Competitive Benchmarking
6.1.2 Natural Language Generation Market Share by Manufacturer (2024)
6.1.3 Industry BCG Matrix
6.1.4 Heat Map Analysis
6.1.5 Mergers and Acquisitions
6.2 AMAZON WEB SERVICES INC. (U.S.)
6.2.1 Company Overview
6.2.2 Key Executives
6.2.3 Company Snapshot
6.2.4 Role of the Company in the Market
6.2.5 Sustainability and Social Responsibility
6.2.6 Operating Business Segments
6.2.7 Product Portfolio
6.2.8 Business Performance
6.2.9 Key Strategic Moves and Recent Developments
6.2.10 SWOT Analysis
6.3 IBM (U.S.)
6.4 YSEOP (FRANCE)
6.5 AX SEMANTICS (GERMANY)
6.6 2TXT - NATURAL LANGUAGE GENERATION GMBH (GERMANY)
6.7 LINGUASTAT INC. (U.S.)
6.8 TEXTUAL RELATIONS AB (GOTHENBURG)
6.9 NEWSRX (U.S.)
6.10 ARRIA NLG (U.K.)
6.11 ARTIFICIAL SOLUTIONS (SWEDEN)
6.12 RESTRESCO (U.S.)
6.13 CONVERSICA (U.S.)
6.14 NEWSRX (U.S.)
6.15 COGENTAX INC. (U.S.)
6.16 PHRASETECH (SWEDEN)
6.17 VPHRASE (INDIA)
6.18 OTHER ACTIVE PLAYERS.
Chapter 7: Global Natural Language Generation Market By Region
7.1 Overview
7.2. North America Natural Language Generation Market
7.2.1 Key Market Trends, Growth Factors and Opportunities
7.2.2 Top Key Companies
7.2.3 Historic and Forecasted Market Size by Segments
7.2.4 Historic and Forecasted Market Size by Component
7.2.4.1 Software
7.2.4.2 Services
7.2.5 Historic and Forecasted Market Size by Application
7.2.5.1 Fraud Detection and Anti-Money Laundering
7.2.5.2 Predictive Maintenance
7.2.5.3 Risk and Compliance Management
7.2.5.4 Customer Experience Management
7.2.5.5 Others
7.2.5.6 Business Function
7.2.5.7 Finance
7.2.5.8 Legal
7.2.5.9 Marketing and Sales
7.2.5.10 Operations
7.2.5.11 Human Resources
7.2.5.12 Deployment Model
7.2.5.13 Cloud
7.2.5.14 On-Premises
7.2.5.15 Organization Size
7.2.5.16 Small and Medium-Sized Enterprises
7.2.5.17 Large Enterprises
7.2.5.18 Industry Vertical
7.2.5.19 Banking
7.2.5.20 Financial Services and Insurance
7.2.5.21 Retail and Ecommerce
7.2.5.22 Government and Defence
7.2.5.23 Healthcare and Life Sciences
7.2.5.24 Manufacturing
7.2.5.25 Telecom and IT
7.2.5.26 Media and Entertainment
7.2.5.27 Energy and Utilities
7.2.5.28 Others
7.2.6 Historic and Forecast Market Size by Country
7.2.6.1 US
7.2.6.2 Canada
7.2.6.3 Mexico
7.3. Eastern Europe Natural Language Generation Market
7.3.1 Key Market Trends, Growth Factors and Opportunities
7.3.2 Top Key Companies
7.3.3 Historic and Forecasted Market Size by Segments
7.3.4 Historic and Forecasted Market Size by Component
7.3.4.1 Software
7.3.4.2 Services
7.3.5 Historic and Forecasted Market Size by Application
7.3.5.1 Fraud Detection and Anti-Money Laundering
7.3.5.2 Predictive Maintenance
7.3.5.3 Risk and Compliance Management
7.3.5.4 Customer Experience Management
7.3.5.5 Others
7.3.5.6 Business Function
7.3.5.7 Finance
7.3.5.8 Legal
7.3.5.9 Marketing and Sales
7.3.5.10 Operations
7.3.5.11 Human Resources
7.3.5.12 Deployment Model
7.3.5.13 Cloud
7.3.5.14 On-Premises
7.3.5.15 Organization Size
7.3.5.16 Small and Medium-Sized Enterprises
7.3.5.17 Large Enterprises
7.3.5.18 Industry Vertical
7.3.5.19 Banking
7.3.5.20 Financial Services and Insurance
7.3.5.21 Retail and Ecommerce
7.3.5.22 Government and Defence
7.3.5.23 Healthcare and Life Sciences
7.3.5.24 Manufacturing
7.3.5.25 Telecom and IT
7.3.5.26 Media and Entertainment
7.3.5.27 Energy and Utilities
7.3.5.28 Others
7.3.6 Historic and Forecast Market Size by Country
7.3.6.1 Russia
7.3.6.2 Bulgaria
7.3.6.3 The Czech Republic
7.3.6.4 Hungary
7.3.6.5 Poland
7.3.6.6 Romania
7.3.6.7 Rest of Eastern Europe
7.4. Western Europe Natural Language Generation Market
7.4.1 Key Market Trends, Growth Factors and Opportunities
7.4.2 Top Key Companies
7.4.3 Historic and Forecasted Market Size by Segments
7.4.4 Historic and Forecasted Market Size by Component
7.4.4.1 Software
7.4.4.2 Services
7.4.5 Historic and Forecasted Market Size by Application
7.4.5.1 Fraud Detection and Anti-Money Laundering
7.4.5.2 Predictive Maintenance
7.4.5.3 Risk and Compliance Management
7.4.5.4 Customer Experience Management
7.4.5.5 Others
7.4.5.6 Business Function
7.4.5.7 Finance
7.4.5.8 Legal
7.4.5.9 Marketing and Sales
7.4.5.10 Operations
7.4.5.11 Human Resources
7.4.5.12 Deployment Model
7.4.5.13 Cloud
7.4.5.14 On-Premises
7.4.5.15 Organization Size
7.4.5.16 Small and Medium-Sized Enterprises
7.4.5.17 Large Enterprises
7.4.5.18 Industry Vertical
7.4.5.19 Banking
7.4.5.20 Financial Services and Insurance
7.4.5.21 Retail and Ecommerce
7.4.5.22 Government and Defence
7.4.5.23 Healthcare and Life Sciences
7.4.5.24 Manufacturing
7.4.5.25 Telecom and IT
7.4.5.26 Media and Entertainment
7.4.5.27 Energy and Utilities
7.4.5.28 Others
7.4.6 Historic and Forecast Market Size by Country
7.4.6.1 Germany
7.4.6.2 UK
7.4.6.3 France
7.4.6.4 The Netherlands
7.4.6.5 Italy
7.4.6.6 Spain
7.4.6.7 Rest of Western Europe
7.5. Asia Pacific Natural Language Generation Market
7.5.1 Key Market Trends, Growth Factors and Opportunities
7.5.2 Top Key Companies
7.5.3 Historic and Forecasted Market Size by Segments
7.5.4 Historic and Forecasted Market Size by Component
7.5.4.1 Software
7.5.4.2 Services
7.5.5 Historic and Forecasted Market Size by Application
7.5.5.1 Fraud Detection and Anti-Money Laundering
7.5.5.2 Predictive Maintenance
7.5.5.3 Risk and Compliance Management
7.5.5.4 Customer Experience Management
7.5.5.5 Others
7.5.5.6 Business Function
7.5.5.7 Finance
7.5.5.8 Legal
7.5.5.9 Marketing and Sales
7.5.5.10 Operations
7.5.5.11 Human Resources
7.5.5.12 Deployment Model
7.5.5.13 Cloud
7.5.5.14 On-Premises
7.5.5.15 Organization Size
7.5.5.16 Small and Medium-Sized Enterprises
7.5.5.17 Large Enterprises
7.5.5.18 Industry Vertical
7.5.5.19 Banking
7.5.5.20 Financial Services and Insurance
7.5.5.21 Retail and Ecommerce
7.5.5.22 Government and Defence
7.5.5.23 Healthcare and Life Sciences
7.5.5.24 Manufacturing
7.5.5.25 Telecom and IT
7.5.5.26 Media and Entertainment
7.5.5.27 Energy and Utilities
7.5.5.28 Others
7.5.6 Historic and Forecast Market Size by Country
7.5.6.1 China
7.5.6.2 India
7.5.6.3 Japan
7.5.6.4 South Korea
7.5.6.5 Malaysia
7.5.6.6 Thailand
7.5.6.7 Vietnam
7.5.6.8 The Philippines
7.5.6.9 Australia
7.5.6.10 New Zealand
7.5.6.11 Rest of APAC
7.6. Middle East & Africa Natural Language Generation Market
7.6.1 Key Market Trends, Growth Factors and Opportunities
7.6.2 Top Key Companies
7.6.3 Historic and Forecasted Market Size by Segments
7.6.4 Historic and Forecasted Market Size by Component
7.6.4.1 Software
7.6.4.2 Services
7.6.5 Historic and Forecasted Market Size by Application
7.6.5.1 Fraud Detection and Anti-Money Laundering
7.6.5.2 Predictive Maintenance
7.6.5.3 Risk and Compliance Management
7.6.5.4 Customer Experience Management
7.6.5.5 Others
7.6.5.6 Business Function
7.6.5.7 Finance
7.6.5.8 Legal
7.6.5.9 Marketing and Sales
7.6.5.10 Operations
7.6.5.11 Human Resources
7.6.5.12 Deployment Model
7.6.5.13 Cloud
7.6.5.14 On-Premises
7.6.5.15 Organization Size
7.6.5.16 Small and Medium-Sized Enterprises
7.6.5.17 Large Enterprises
7.6.5.18 Industry Vertical
7.6.5.19 Banking
7.6.5.20 Financial Services and Insurance
7.6.5.21 Retail and Ecommerce
7.6.5.22 Government and Defence
7.6.5.23 Healthcare and Life Sciences
7.6.5.24 Manufacturing
7.6.5.25 Telecom and IT
7.6.5.26 Media and Entertainment
7.6.5.27 Energy and Utilities
7.6.5.28 Others
7.6.6 Historic and Forecast Market Size by Country
7.6.6.1 Turkiye
7.6.6.2 Bahrain
7.6.6.3 Kuwait
7.6.6.4 Saudi Arabia
7.6.6.5 Qatar
7.6.6.6 UAE
7.6.6.7 Israel
7.6.6.8 South Africa
7.7. South America Natural Language Generation Market
7.7.1 Key Market Trends, Growth Factors and Opportunities
7.7.2 Top Key Companies
7.7.3 Historic and Forecasted Market Size by Segments
7.7.4 Historic and Forecasted Market Size by Component
7.7.4.1 Software
7.7.4.2 Services
7.7.5 Historic and Forecasted Market Size by Application
7.7.5.1 Fraud Detection and Anti-Money Laundering
7.7.5.2 Predictive Maintenance
7.7.5.3 Risk and Compliance Management
7.7.5.4 Customer Experience Management
7.7.5.5 Others
7.7.5.6 Business Function
7.7.5.7 Finance
7.7.5.8 Legal
7.7.5.9 Marketing and Sales
7.7.5.10 Operations
7.7.5.11 Human Resources
7.7.5.12 Deployment Model
7.7.5.13 Cloud
7.7.5.14 On-Premises
7.7.5.15 Organization Size
7.7.5.16 Small and Medium-Sized Enterprises
7.7.5.17 Large Enterprises
7.7.5.18 Industry Vertical
7.7.5.19 Banking
7.7.5.20 Financial Services and Insurance
7.7.5.21 Retail and Ecommerce
7.7.5.22 Government and Defence
7.7.5.23 Healthcare and Life Sciences
7.7.5.24 Manufacturing
7.7.5.25 Telecom and IT
7.7.5.26 Media and Entertainment
7.7.5.27 Energy and Utilities
7.7.5.28 Others
7.7.6 Historic and Forecast Market Size by Country
7.7.6.1 Brazil
7.7.6.2 Argentina
7.7.6.3 Rest of SA
Chapter 8 Analyst Viewpoint and Conclusion
8.1 Recommendations and Concluding Analysis
8.2 Potential Market Strategies
Chapter 9 Research Methodology
9.1 Research Process
9.2 Primary Research
9.3 Secondary Research
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Natural Language Generation Market |
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Base Year: |
2023 |
Forecast Period: |
2024-2032 |
|
Historical Data: |
2017 to 2023 |
Market Size in 2023: |
USD 579.4 Million |
|
Forecast Period 2024-32 CAGR: |
12.79% |
Market Size in 2032: |
USD 1711.65 Million |
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Segments Covered: |
By Component |
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By Application |
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Business Function |
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Deployment Model |
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Organization Size |
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Industry Vertical |
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By Region |
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Key Market Drivers: |
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Key Market Restraints: |
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Key Opportunities: |
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Companies Covered in the report: |
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Frequently Asked Questions :
The forecast period in the Natural Language Generation Market research report is 2024-2032.
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), and Others Active Players
Component, Application, Business Function, Deployment Model, Organization Size, Industry Vertical and region segment into the Natural Language Generation Market. By Component (Software and Services), Application (Fraud Detection and Anti-Money Laundering, Predictive Maintenance, Risk and Compliance Management, Customer Experience Management and Others), Business Function (Finance, Legal, Marketing and Sales, Operations and Human Resources), Deployment Model (Cloud and On-Premises), Organization Size (Small and Medium-Sized Enterprises and Large Enterprises), Industry Vertical (Banking, Financial Services, and Insurance, Retail and Ecommerce, Government and Defence, Healthcare and Life Sciences, Manufacturing, Telecom and IT, Media and Entertainment, Energy and Utilities and Others). By region, it is analyzed across North America (U.S.; Canada; Mexico), Eastern Europe (Bulgaria; The Czech Republic; Hungary; Poland; Romania; Rest of Eastern Europe), Western Europe (Germany; UK; France; Netherlands; Italy; Russia; Spain; Rest of Western Europe), Asia-Pacific (China; India; Japan; Southeast Asia, etc.), South America (Brazil; Argentina, etc.), Middle East & Africa (Saudi Arabia; South Africa, etc.).
Natural Language Generation (NLG) is a subfield of artificial intelligence (AI) and computational linguistics focused on creating algorithms and systems that can produce human-like textual or spoken language from structured data or information. It involves transforming raw data inputs into coherent, contextually relevant narratives, summaries, or descriptions. NLG is widely used in applications such as automated reporting, customer service chatbots, personalized content creation, and data-to-text solutions, enabling businesses to communicate insights and information effectively and efficiently.
Natural Language Generation Market Size Was Valued at USD 579.4 Million in 2023, and is Projected to Reach USD 1711.65 Million by 2032, Growing at a CAGR of 12.79% from 2024-2032.
