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Global Natural Language Generation NLG Growth Rate 2025, Forecast To 2034

24 Mar, 2025

What Has Been the Progress and Growth of the Natural Language Generation NLG Market in Recent Years?

The natural language generation nlg market has seen considerable growth due to a variety of factors.
• The market size of natural language generation (NLG) has seen an elevated growth rate in previous years, increasing from $0.88 billion in 2024 to an estimated $1.06 billion in 2025, exhibiting a compound annual growth rate (CAGR) of 21.4%.
Factors attributing to the growth during the historic period include the larger availability of data, the emergence of big data analytics, advancements in natural language processing (NLP), the need for insights derived from data, and the amalgamation with business intelligence (BI) tools.

How Does the Forecast Look for the Natural Language Generation NLG Market?

The natural language generation nlg market is expected to maintain its strong growth trajectory in upcoming years.
• In the coming years, the market size of natural language generation (NLG) is projected to experience significant growth, reaching a value of $2.32 billion in 2029 with a compound annual growth rate (CAGR) of 21.5%.
This anticipated growth during the forecast period can be attributed to the swift progress in deep learning, assimilation with voice assistants, an escalating demand for automation of content, a rising emphasis on explainability, and broadening applications in the healthcare sector. Key trends expected in this period involve creativity powered by AI, ethical AI and mitigation of bias, as well as technological advancements, product innovation, and real-time language interpretation.

What Are The Leading Drivers Of Growth In The Natural Language Generation NLG Market?

The surge in quantity and diversity of data is predicted to fuel the expansion of the natural language generation (NLG) market in the future. The reference to volume and diversity of data pertains to the vast and varying nature of information generated, gathered, and processed by various systems, applications, and devices. This highlights the constantly evolving scale and diversity of data involved in different scenarios. Natural Language Generation (NLG) is employed to effectively articulate insights drawn from this surging volume and variety of data by converting complex data into comprehensible and coherent narratives. This assists businesses in extracting meaningful data and making intelligent business decisions in a format that is easily readable and understandable by humans. For instance, in February 2023, G2.com, a company dealing with software marketplaces based in the US, disclosed that 87.8% of companies ramped up their data investments, marking a 41% rise from the previous year, 2022. Hence, the rising quantity and diversity of data are spearheading the surge in the next language generation market.

How Are The Segments Defined Within The Global Natural Language Generation NLG Market?

The natural language generation (NLG) market covered in this report is segmented –
1) By Deployment: On-Premise, Cloud
2) By Organization Size: Small and Medium Enterprises (SMEs), Large Enterprises
3) By Application: Fraud Detection, Predictive Maintenance, Risk And Compliance Management, Performance Management
4) By Vertical: Banking, Financial Services And Insurance (BFSI), Retail And Ecommerce, Government And Defense, Healthcare And Life Sciences, Manufacturing, Telecom, IT, Media And Entertainment, Energy And Utilities Subsegments:
1) By On-Premise: Local Server Installations, Customized NLG Software Solutions, Integrated Enterprise Systems, Self-Hosted Data Processing Systems
2) By Cloud: Software As A Service (Saas) NLG Platforms, API-Based NLG Services, Cloud Storage And Processing Solutions, Multi-Tenant Cloud Environments, Subscription-Based NLG Applications

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What Trends Are Reshaping The Future Of The Natural Language Generation NLG Market?

Leading corporations in the natural language generation (NLG) sector are pioneering new technologies and products through the integration of stacks purposely designed for AI-driven applications. The term "integrating stacks" pertains to the unification of diverse software components or systems for trouble-free collaboration. Essentially, a software stack is an assortment of independent elements that cooperatively facilitate the run of an application. For example, in 2023, Microsoft Corporation, a tech firm based in the US, unveiled the Azure OpenAI Service. This platform evolves in response to the expanding requirements of developers and organizations. Azure delivers a comprehensive, amalgamated stack specially created for AI-driven applications, offering a range of pre-made task-optimized NLU/NLG functionalities powered by Azure OpenAI. This provides the company with a competitive advantage and outstanding performance. These models are capable of adapting to tasks like content summarization, image understanding, semantic searching, and translating natural language to code.

Who Are the Key Players In The Natural Language Generation NLG Market?

Major companies operating in the natural language generation (NLG) market report are:
• Amazon.com Inc.
• Alphabet Inc.
• Microsoft Corporation
• International Business Machines Corporation
• Deloitte Touche Tohmatsu Limited
• 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
• Gabriele Sarti

What Is The Most Dominant Region In The Natural Language Generation NLG Market?

North America was the largest region in the natural language generation (NLG) market in 2024. 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, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.