Global Natural Language Generation Market Size, Share, By Solution (Software and Services), By Application (Fraud Detection & Anti-Money Laundering, Predictive Maintenance, Risk & Compliance Management, Customer Experience Management, and Others), By End User (BFSI, Retail & E-commerce, Government & Defense, Healthcare & Lifesciences, Manufacturing, Telecom & IT, and Others), and By Region (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2026 - 2035

Global Natural Language Generation Market Insights Forecasts to 2035

• The Global Natural Language Generation Market Size Was Estimated at USD 972.1 Million in 2025
• The Market Size is Expected to Grow at a CAGR of around 22.15% from 2026 to 2035
• The Worldwide Natural Language Generation Market Size is Expected to Reach USD 7185.9 Million by 2035
• Asia Pacific is expected to grow the fastest during the forecast period.

According to a research report published by Spherical Insights and Consulting, the global natural language generation market size was worth around USD 972.1 million in 2025 and is predicted to grow to around USD 7185.9 million by 2035 with a compound annual growth rate (CAGR) of 22.15% from 2026 to 2035. Global adoption of transformer-based large language models in algorithmic architecture, adoption of business intelligence integration, demand for AI-driven enterprise communication, and increased computational power are all driving opportunities in the natural language generation market. 

Market Overview

A natural language generation market known as the NLG market is considered an industry involved in developing and applying artificial intelligence technologies capable of generating human-readable text or speech from data, whether it is structured or unstructured. Such a market includes NLG software platforms, AI-based generative technologies, automated report writing products, content creation tools, conversational AI solutions, text summarizers, business intelligence reporting tools, and cloud language generators used in fields as healthcare, financial services, retail, media, education, government, and customer service. The natural language generation market is fueled by the increase in using generative AI solutions, demand for content production automation, need for multilingual communication, greater customer engagement, and the growth in data-driven business activities. Many market opportunities arise owing to advances in large language models, AI-powered enterprise solutions, personalized content generation, and intelligent process automation.

The government’s contribution to the market's growth includes investments in artificial intelligence research and innovation, promotion of digital transformation efforts, modernization of computing infrastructure, and regulation of AI technologies. For instance, in August 2025, the U.S. NSF made an announcement in association with NVIDIA for supporting the OMAI project. NSF invested an amount of USD 75 million, while NVIDIA invested an amount of USD 77 million in the project. In total, there was an investment of USD 152 million from both parties into OMAI. It will help develop open multimodal AI and AI infrastructure, driving advance technologies such as LLMs, NLP, and NLG.

In March 2024, IndiaAI Mission was sanctioned by the Government of India, with a budget outlay of INR 10371.92 crore for the establishment of an AI computing ecosystem, enabling AI startups, development of native AI foundation models, improvement of data platforms, and creation of a vibrant AI innovation ecosystem in the country. This will help in the rapid development of large language models (LLMs), NLP-based systems, multilingual AI products, and NLG solutions.

Report Coverage

This research report categorizes the natural language generation market based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the natural language generation market. Recent market developments and competitive strategies, such as expansion, product launch, development, partnership, merger, and acquisition, have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segment of the natural language generation market.  

Driving Factors

Rapid technological innovation is one of the main drivers of the natural language generation market's growth. The swift uptake of artificial intelligence (AI) technology and generative AI technologies in almost all industries and the increase in the requirement for automated content generation, which is the main factor driving the market for natural language generation. In this field, rising need for generating reports through automation, growing volumes of structured and unstructured data demanding actionable insights, the rising need for personalized customer communications, and increased use of chatbots and virtual assistants are further reinforced the market growth. Additionally, companies have been implementing NLG technology solutions for improving efficiencies in their operations, cutting down content production expenses, and fast-tracking their decision-making process globally.

In September 2024, India introduced the BharatGen project, which marks the first time a multimodal LLM is funded by a government in the nation. The project aims at developing AI models for language, speech, and vision applications, thereby promoting rapid innovations in NLP, LLMs, and NLG technologies.

Restraining Factors

High development and deployment costs, data privacy and security risks, a lack of qualified professionals, ethical concerns, intellectual property issues, the need for continuous model monitoring and updates, and challenges related to regulatory compliance are the main factors restricting the natural language generation market.

Market Segmentation

The natural language generation market share is classified into solution, application, and end user.  

• The software segment dominated the market in 2025, approximately 75%, and is projected to grow at a substantial CAGR during the forecast period.

Based on the solution, the natural language generation market is divided into software and services. Among these, the software segment dominated the market in 2025, approximately 75%, and is projected to grow at a substantial CAGR during the forecast period. Increasing enterprise scalability that allows organizations to manage fluctuating data workloads efficiently without physical infrastructure investments, integrate seamlessly with BI and analytics tools, and provides cost effectiveness with accessible solutions is driving the software industry.

• The risk & compliance management segment accounted for the largest share in 2025, approximately 30%, and is anticipated to grow at a significant CAGR during the forecast period.

Based on the application, the natural language generation market is divided into fraud detection & anti-money laundering, predictive maintenance, risk & compliance management, customer experience management, and others. Among these, the risk & compliance management segment accounted for the largest share in 2025, approximately 30%, and is anticipated to grow at a significant CAGR during the forecast period. As manual processing of regulatory obligations has become untenable, NLG algorithms automatically translate massive datasets into audit-ready language, reduces human errors, and saves operational costs is driving the risk & compliance management industry.

• The BFSI segment accounted for the highest market revenue in 2025, approximately 28%, and is anticipated to grow at a significant CAGR during the forecast period.

Based on the end user, the natural language generation market is divided into BFSI, retail & e-commerce, government & defense, healthcare & lifesciences, manufacturing, telecom & IT, and others. Among these, the BFSI segment accounted for the highest market revenue in 2025, approximately 28%, and is anticipated to grow at a significant CAGR during the forecast period. Increased demand for massive volume of regulatory, audit, and compliance documentation, banks deploy intelligent virtual assistants and chatbots, and firms vastly improve decision-making efficiency and reduce manual labor costs is bolstering BFSI market. 

 Regional Segment Analysis of the Natural Language Generation Market

• North America (U.S., Canada, Mexico)
• Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
• Asia-Pacific (China, Japan, India, Rest of APAC)
• South America (Brazil and the Rest of South America)
• The Middle East and Africa (UAE, South Africa, Rest of MEA)

North America is anticipated to hold the largest share of the natural language generation market over the predicted timeframe.

North America is anticipated to hold the largest share of the natural language generation market over the predicted timeframe. Strong government backing for early commercial adoption of sophisticated AI solutions and the existence of major NLG and generative AI software providers are what propel North America. The region's position is further reinforced by the heavy use of automated language generation in enterprise software, banking institutions, and customer relationship management systems. This facilitates large-scale automated content creation and decision-making processes. Other factors enhancing the region's dominance in the natural language generation market include high investments in AI-related infrastructure and R&D activities in North America making it dominant globally.

Government initiatives include Canada’s AI Compute Access Fund and Canadian AI Sovereign Compute Strategy June 2024 supported by a USD 2 billion investment to expand AI computing infrastructure and accelerate the development of generative AI and language models and the U.S. NSF’s NAIRR Pilot in January 2024 to provide researchers with access to AI computing resources, datasets, and models supporting NLG technologies.

Asia Pacific is expected to grow at a rapid CAGR in the natural language generation market during the forecast period. China, India, Japan, and South Korea are among the nations making significant investments in the early adoption of advanced AI technologies along with the presence of prominent NLG and generative AI solution providers in the region. The widespread use of AI-enabled language generation in enterprise applications, financial applications, and customer interaction platforms that help in automating the entire process of content creation and decision making further propel the Asia Pacific growth making it fastest growing globally.

Government launches include the Digital Agency of Japan launched Government AI “GENAI” in March 2026 to expand generative AI use across ministries and agencies and includes support for domestic LLMs, NLGs, and government AI infrastructure.

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the natural language generation market, along with a comparative evaluation primarily based on their product of offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

List of Key Companies

• OpenAI
• Microsoft Corporation
• Google LLC
• Amazon Web Services, Inc.
• IBM Corporation
• Oracle Corporation
• Salesforce, Inc.
• SAS Institute Inc.
• Adobe Inc.
• SAP SE
• C3 AI, Inc.
• Cohere Inc.
• AI21 Labs Ltd.
• Anthropic PBC
• Others

Key Target Audience

• Market Players
• Investors
• End-users
• Government Authorities 
• Consulting and Research Firm
• Venture capitalists
• Value-Added Resellers (VARs)

Recent Development

• In May 2025, OpenAI has added features to its Responses API, which include remote MCP servers, ability to generate images, Code Interpreter, and better file searching. These new additions will allow developers to create more sophisticated NLG applications and AI agents.
• In May 2025, Microsoft supports the open A2A protocol via Azure AI Foundry, allowing AI agents to collaborate with each other from different systems. This move is geared towards improving enterprise-level language generation, reasoning, and automation of content creation using Microsoft’s AI capabilities.
• In March 2025, Oracle launched new generative AI services on Oracle Cloud Infrastructure, offering businesses language generation AI services to support various enterprise applications and processes like analytics, customer engagement, and process automation.

Market Segment

This study forecasts revenue at global, regional, and country levels from 2020 to 2035. Spherical Insights has segmented the natural language generation market based on the below-mentioned segments: 

Global Natural Language Generation Market, By Solution

• Software
• Services

Global Natural Language Generation Market, By Application

• Fraud Detection & Anti-Money Laundering
• Predictive Maintenance
• Risk & Compliance Management
• Customer Experience Management
• Others

Global Natural Language Generation Market, By End User

• BFSI
• Retail & E-commerce
• Government & Defense
• Healthcare & Lifesciences
• Manufacturing
• Telecom & IT
• Others

Global Natural Language Generation Market, By Regional Analysis

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Rest of Asia Pacific
• South America
  • Brazil
  • Argentina
  • Rest of South America
• Middle East & Africa
  • UAE
  • Saudi Arabia
  • Qatar
  • South Africa
  • Rest of the Middle East & Africa