Natural Language Generation (NLG) Market Report 2026

The natural language generation (nlg) market size has grown exponentially in recent years. It will grow from $1.06 billion in 2025 to $1.28 billion in 2026 at a compound annual growth rate (CAGR) of 21.3%. The growth in the historic period can be attributed to growth of structured data availability, adoption of business intelligence platforms, advancements in natural language processing, demand for automated reporting, rise of digital communication channels.

The natural language generation (nlg) market size is expected to see exponential growth in the next few years. It will grow to $2.78 billion in 2030 at a compound annual growth rate (CAGR) of 21.4%. The growth in the forecast period can be attributed to integration of generative AI models, expansion of cloud-based NLG platforms, demand for explainable AI outputs, growth of real-time analytics, increased adoption across enterprise functions. Major trends in the forecast period include automated data-to-text reporting, personalized content generation at scale, integration of nlg with business intelligence tools, real-time narrative generation, expansion of conversational AI capabilities.

The growing volume and variety of data are expected to drive the growth of the natural language generation (NLG) market in the coming years. The volume and variety of data refer to the vast quantity and diverse types of information generated, collected, and processed by systems, applications, and devices, reflecting the continuously expanding scale and heterogeneity of data across contexts. Natural Language Generation (NLG) helps businesses effectively communicate insights from this increasing data by converting complex datasets into coherent and understandable narratives, enabling informed decision-making in a more accessible, human-readable format. For example, in October 2023, according to the International Telecommunication Union, a Switzerland-based UN telecom agency, approximately 67% of the world’s population (around 5.4 billion people) were online, representing a 4.7% increase over 2022. Therefore, the rising volume and variety of data are contributing to the growth of the natural language generation (NLG) market.

Major players in natural language generation (NLG) are innovating by developing advanced technology and products through the integration of purpose-built stacks for AI-powered applications. Integrating stacks involves combining various software components or systems to seamlessly work together. A software stack comprises independent components that collaborate to support application execution. For example, in 2023, Microsoft Corporation, a US-based technology company, introduced the Azure OpenAI Service. This ecosystem is tailored to meet the evolving needs of developers and organizations, offering a comprehensive, integrated stack designed specifically for AI-powered applications. Azure incorporates a range of pre-built, task-optimized natural language understanding (NLU) and NLG capabilities powered by Azure OpenAI, providing a competitive edge and superior performance. These models can be adapted for tasks such as content summarization, image understanding, semantic search, and natural language to code translation.

In November 2023, Straive, an information technology company based in Singapore, acquired Gramener for an undisclosed sum. The acquisition is intended to bolster Straive's capacity to develop distinctive customer experiences, offerings, and operations by integrating distinctive data-driven insights and expert knowledge into digital and AI technologies. Gramener, headquartered in the US, is a data infrastructure and analytics company known for its natural language generation-based app.

Major companies operating in the natural language generation (nlg) market are Amazon.com Inc.; Alphabet Inc.; Microsoft Corporation; IBM Corporation; Oracle Corporation; SAP SE; NVIDIA Corporation; Infosys Limited; Baidu Inc.; SAS Institute Inc.; Conversica Inc.; Automated Insights Inc.; OpenAI Inc.; Narrative Science Inc.; Persado Inc.; Arria NLG plc; Hugging Face Inc.; Retresco GmbH; AX Semantics GmbH; vPhrase Analytics Solutions Pvt. Ltd.; Yseop SA; Phrasetech; Narrativa.

North America was the largest region in the natural language generation (NLG) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the natural language generation (nlg) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the natural language generation (nlg) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have had a moderate impact on the natural language generation market by increasing costs related to imported computing hardware, AI infrastructure, and data center equipment, particularly in North America and Asia-Pacific. These factors have influenced deployment costs for on-premise solutions. However, tariffs are accelerating the shift toward cloud-based NLG platforms, software-driven deployments, and scalable subscription models that reduce hardware dependency,

The natural language generation (nlg) market research report is one of a series of new reports that provides natural language generation (nlg) market statistics, including natural language generation (nlg) industry global market size, regional shares, competitors with a natural language generation (nlg) market share, detailed natural language generation (nlg) market segments, market trends and opportunities, and any further data you may need to thrive in the natural language generation (nlg) industry. This natural language generation (nlg) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Natural Language Generation (NLG) constitutes a subset of artificial intelligence (AI) and natural language processing (NLP) dedicated to automatically generating human-readable text or speech from structured data or other non-linguistic formats. Its primary objective is to convert data into coherent and contextually relevant narratives easily comprehensible by humans.

The main deployment methods for NLG are on-premise and cloud-based. On-premise deployment involves hosting software on an organization's servers, with management typically handled by the organization's IT department. NLG finds utility across various sectors including banking, financial services and insurance (BFSI), retail and e-commerce, government and defense, healthcare and life sciences, manufacturing, telecom, information technology, media and entertainment, and energy and utilities. It is employed for diverse applications such as fraud detection, predictive maintenance, risk and compliance management, and performance management.

The natural language generation (NLG) market includes revenues earned by entities by providing services such as automated customer service responses, filling out online forms, Chabot and voice assistants, and decision-making process services. The market value includes the value of related goods sold by the service provider or included within the service offering. The natural language generation (NLG) market also includes sales of GPUs, CPUs, and storage systems. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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