Natural Language Generation Market (2026 - 2033)

Natural Language Generation Market Summary

The global natural language generation market size was valued at USD 929.8 million in 2025 and is projected to grow from USD 1,132.5 million in 2026 to USD 4,502.7 million in 2033, at a CAGR of 21.8% from 2026 to 2033. North America dominated the market with a largest revenue share of 35.0% in 2025. Factors such as growing industry adoption of AI and machine learning, increasing reliance on data-driven decision-making, and increasing usage of analytics and business intelligence applications are major driving factors for the market growth.

Source: Grand View Research, IR Documents, Primary Interviews, Paid Databases

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NLG helps organizations create large volumes of content quickly and coherently, with professionalism. Therefore, NLG solutions are now widely used by modern businesses to generate textual content, including reports, summaries, articles, product descriptions, and customer communications. Companies are also continuously investing in innovation and product development to strengthen their competitive position in the market.

Furthermore, IoT devices collect vast amounts of data from sensors, machines, and connected devices across industries such as manufacturing, healthcare, and transportation. NLG has become indispensable for presenting insights derived from IoT-generated data in a clear, natural-language format. For instance, in April 2024, Amazon Web Services (AWS) announced enhancements to Amazon Q in QuickSight, enabling organizations to automatically generate natural language summaries and insights from operational and business data using generative AI. Such advancements enable enterprises to transform large volumes of structured IoT and operational data into understandable narratives, improving data-driven decision-making.

Analyst Perspective

The global natural language generation (NLG) market is experiencing strong growth, driven by increasing AI adoption, rising demand for automated content creation, and the need for data-driven business communication. NLG solutions enable organizations to convert structured data into human-like text, supporting automated reporting, personalized customer engagement, and faster decision-making. Expanding digital transformation initiatives, business intelligence platforms, and AI-powered customer service applications are further accelerating adoption. Additionally, advancements in large language models (LLMs), natural language processing (NLP), and cloud-based AI platforms are improving content accuracy, scalability, and multilingual capabilities. Growing investments in AI innovation and enterprise-grade NLG solutions are expected to create significant long-term market opportunities.

Solution Insights

The software segment dominated the natural language generation industry with a share of around 65.0% in 2025. Natural language generation software helps data analysis scientists and non-technical people process information and data with the help of deep learning and generate actionable insights based on digital data. This application of natural language generation in various industries and the launch of advanced solutions is expected to drive segmental growth demand over the forecast period. For instance, in April 2024, SAS announced new generative AI capabilities in SAS Viya, enabling organizations to generate natural language explanations, summaries, and insights from enterprise data through AI-powered analytics. The enhancement is expected to improve automated reporting and data-driven decision-making across industries, supporting the adoption of natural language generation solutions.

The service segment is expected to grow at the fastest CAGR over the forecast period. Services such as training & support help companies efficiently deploy and use natural language generation tools and realize their full potential, which is likely to drive segmental demand as deployment of NLG software rises across sectors.

Application Insights

The risk & compliance management segment accounted for the largest market share of around 20.0% in 2025. NLG plays a crucial role in automating the generation of reports, alerts, and insights to ensure regulatory compliance and manage risks effectively. For instance, according to the article published by the ARRIA NLG in March 2024, its natural language generation software can help in the analysis of large amounts of transactional data and customer information, identify suspicious patterns, and generate detailed reports with improved quality to comply with government regulations.

The fraud detection and anti-money laundering segment was expected to grow at the fastest CAGR over the forecast period. Promptly detecting and preventing fraud is important for building and safeguarding customer confidence in AI and machine learning tools. Therefore, the ability of natural language generation to identify the risks associated with large data is likely to help drive segmental growth.

Deployment Insights

The cloud segment dominated the natural language generation market, accounting for a revenue share of around 65.0% in 2025. Benefits offered by the cloud deployment, such as quick setup, low operational cost, and flexibility in pricing models, are major factors driving the market growth. The use of cloud-based deployment also offers scalability and helps increase access, which is likely to drive market growth.

The on-premises segment is expected to grow at the fastest CAGR over the forecast period. On-premises deployment gives an organization total control over the data processed in its IT environment. It reduces the risk of data being accessed directly by a third party. In addition, due to regulatory restrictions, some organizations are required to host in-house processes. This is likely to increase the demand for on-premises deployment of NLG tools and drive market growth.

Enterprise Size Insights

Large enterprises dominated the natural language generation market, accounting for a revenue share of over 65.0% in 2025. Large enterprises deal with vast amounts of data, and the ability of NLG to analyze this data and automatically generate detailed reports efficiently is likely to increase demand within large enterprises.

The small and medium-sized enterprise segment is expected to grow at the fastest CAGR over the forecast period. The presence of global and local players in the market and the increasing use of NLG tools across industries are likely to drive demand for natural language generation in the small- and medium-sized enterprises segment.

Vertical Insights

The BFSI segment dominated the natural language generation market, accounting for a revenue share of around 20.0% in 2025. Natural language generation in the BFSI sector can help automate financial reports, create regulatory compliance documents, and enhance customer service through automated responses.

Media and entertainment are expected to grow at the fastest CAGR over the forecast period. Natural language generation can help the media and entertainment industry generate news articles from structured data, such as sports scores or financial reports, thereby enabling rapid content dissemination while maintaining accuracy. This increasing application of the NLG in the media and entertainment industry is expected to drive segment growth over the forecast period.

Regional Insights

The North America natural language generation market accounted for the largest global revenue share of around 35.0% in 2025. The growth can be attributed to the increasing adoption of generative AI by various industries such as government and defense, healthcare, and financial services. The increasing efforts by the government and private organizations to promote technological innovation in the region and increasing investment in science and technology are further expected to foster growth in the market.

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U.S. Natural Language Generation Market Trends

The U.S. natural language generation industry accounted for around a 60.0% share of North America in 2025. The increasing efforts by the U.S. government to ensure the safe use of artificial intelligence in the country have encouraged the adoption of natural language generation in the country.

Europe Natural Language Generation Market Trends

The Europe natural language generation industry accounted for a significant global revenue share in 2025. The increasing technological advancements in the region and the growing adoption of artificial intelligence across industries are driving market growth.

The German natural language generation market is expected to grow significantly over the forecast period. The market growth is driven by the emergence of various startups using artificial intelligence technologies.

Asia Pacific Natural Language Generation Market Trends

The Asia Pacific natural language generation industry is projected to grow at the fastest CAGR over the forecast period. The market growth is driven by the technological advancements and increasing investments by emerging economies such as China and India in artificial intelligence.

The India natural language generation market is expected to grow over the forecast period. The market growth is driven by the rising investments in artificial intelligence and the emergence of domestic AI platforms.

Key Natural Language Generation Company Insights

Some of the key companies in the natural language generation market include Amazon Web Services, Inc. (AWS); Salesforce, Inc.; ARRIA NLG Limited; and Yseop. Companies in the market are focusing on increasing their customer base to gain a competitive edge in the industry. Therefore, key players are taking several strategic initiatives, such as mergers and acquisitions, and partnerships with other major companies to strengthen their position in the market.

Key Natural Language Generation Companies

The following key companies have been profiled for this study of the natural language generation market.

• Amazon Web Services, Inc.

• Salesforce, Inc.

• ARRIA NLG Limited

• Yseop

• Veritone, Inc.

• vPhrase

• Retresco GmbH

• Stats Perform

Recent Developments

• In October 2025, Google Cloud introduced Gemini Enterprise, a unified enterprise AI platform that enables organizations to deploy generative AI across business functions through advanced natural language understanding, content generation, workflow automation, and AI agents integrated with enterprise data and applications.
• In May 2025, Sarvam AI launched Sarvam-M, an open-source multilingual large language model designed to support Indian languages and enterprise AI applications.
• In July 2024, Cognizant and Yseop announced a plan to partner to scale medical writing through Generative AI. The partnership is expected to help advance the development process of new drugs and expedite their market introduction.

Global Natural Language Generation Market Report Segmentation

This report forecasts revenue growth at the global, regional & country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global natural language generation market report based on solution, application, deployment model, enterprise size, vertical, and region:

• Solution Outlook (Revenue, USD Million, 2021 - 2033)

  • Software

  • Service

• Application Outlook (Revenue, USD Million, 2021 - 2033)

  • Fraud Detection & Anti-Money Laundering

  • Predictive Maintenance

  • Risk & Compliance Management

  • Performance Management

  • Customer Experience Management

  • Others

• Deployment Model Outlook (Revenue, USD Million, 2021 - 2033)

  • On-premises

  • Cloud

• Enterprise Size Outlook (Revenue, USD Million, 2021 - 2033)

  • Small & Medium Sized Enterprises

  • Large Enterprises

• Vertical Outlook (Revenue, USD Million, 2021 - 2033)

  • Banking, Financial Services and Insurance

  • Retail and Ecommerce

  • Government and Defense

  • Healthcare and Lifesciences

  • Manufacturing

  • Telecom and IT

  • Media and Entertainment

  • Energy and Utilities

  • Others

• Regional Outlook (Revenue, USD Million, 2021 - 2033)

  • North America

    • U.S.

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

  • Asia Pacific

    • China

    • India

    • Japan

    • South Korea

    • Australia

  • Latin America

    • Brazil

  • MEA

    • South Africa

    • Saudi Arabia

    • UAE