Global Natural Language Generation Market Size, Share & Trends Analysis Report By Enterprise Size (Large Enterprise and Small & Medium Enterprise (SME), By Application, By Solutions, By Deployment, By Vertical, By Regional Outlook and Forecast, 2024 - 203

Global Natural Language Generation Market Size, Share & Trends Analysis Report By Enterprise Size (Large Enterprise and Small & Medium Enterprise (SME), By Application, By Solutions, By Deployment, By Vertical, By Regional Outlook and Forecast, 2024 - 2031

The Global Natural Language Generation Market size is expected to reach $2.7 billion by 2031, rising at a market growth of 21.2% CAGR during the forecast period.

In 2023, the Europe region generated 30% revenue share in the natural language generation market. The increasing digital transformation initiatives across various industries, including banking, finance, healthcare, and retail, fuel the growth in Europe. European organizations increasingly adopt NLG technology to streamline operations, ensure regulatory compliance, and enhance customer experiences.

The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In June, 2024, Amazon Web Services, Inc. unveiled a generative AI-powered feature in CloudTrail Lake (preview) that allows users to analyze AWS activity events using plain English queries, eliminating the need to write complex SQL. This simplifies event data analysis, enhancing security, compliance, and operational investigations for non-experts. Moreover, In April, 2024, Salesforce, Inc. unveiled MuleSoft's automation, integration, and API management solutions with AI features to boost productivity and streamline workflows. MuleSoft's Intelligent Document Processing (IDP) extracts data from various documents and integrates it with Salesforce Flow for seamless automation. Einstein AI is embedded in MuleSoft's tools, enabling natural language prompts for building integrations and automation.

Market Growth Factors

Businesses are constantly looking for ways to optimize operations and reduce costs. Automated content generation enables organizations to produce large volumes of text quickly, reducing the need for human writers and minimizing labor costs. This is especially valuable in industries like marketing, where timely content can drive sales. In conclusion, increasing demand for automated content generation drives the market's growth.

Additionally, Organizations are increasingly recognizing the value of data in informing their strategies. NLG technologies enable businesses to convert complex data sets into easily understandable narratives, making it simpler to derive actionable insights from raw data. As businesses seek to stay agile and responsive, the ability to generate real-time reports and summaries is crucial. Therefore, the growing focus on data-driven decision-making drives the market's growth.

Market Restraining Factors

Deploying NLG solutions often requires substantial initial investment. This includes costs associated with purchasing software, licensing, and possibly investing in hardware infrastructure. These upfront costs can be prohibitive for many organizations, significantly smaller businesses, or startups. NLG tools must be integrated with existing systems and data sources, involving complex technical work and additional expenses. Therefore, the high implementation costs of these tools are hindering market growth.

Enterprise Size Outlook

By enterprise size, this market is divided into small & medium sized enterprises and large enterprises. The small & medium sized enterprise (SME) segment procured 35% revenue share in this market in 2023. Despite their smaller scale, SMEs increasingly recognize the benefits of NLG technology in improving efficiency and gaining competitive advantages. NLG solutions offer SMEs the capability to automate repetitive tasks, generate insights from data, and enhance customer interactions without extensive human intervention.

Application Outlook

On the basis of application, this market is segmented into fraud detection & anti-money laundering (AML), predictive maintenance, risk & compliance management, performance management, customer experience management, and others. The performance management segment held 13% revenue share in this market in 2023. Organizations are increasingly leveraging NLG to improve their performance management processes. By transforming performance data into coherent and actionable insights, NLG enables managers to understand their team’s performance better, identify improvement areas, and make informed decisions.

Solutions Outlook

Based on solutions, this market is divided into software and service. The service segment attained 35% revenue share in this market in 2023. This segment includes consulting, implementation, and maintenance services, which are essential for the successful deployment and operation of NLG solutions. The growth in this segment is driven by the increasing need for expertise in customizing and optimizing NLG software to meet specific business requirements.

Deployment Outlook

Based on deployment, this market is categorized into on-premises and cloud. The on-premises segment witnessed 35% revenue share in this market in 2023. On-premises NLG solutions offer businesses complete control over their data and infrastructure, which is crucial for industries with stringent data privacy and security standards, such as finance, healthcare, and government.

Vertical Outlook

Based on vertical, this market is divided into banking, financial services and insurance, retail and e-commerce, energy and utilities, government and defense, healthcare and lifesciences, media and entertainment, manufacturing, telecom and IT, and others. The retail and e-commerce segment held 14% revenue share in this market in 2023. This sector leverages NLG technology to enhance customer experience, optimize marketing efforts, and improve operational efficiency. NLG tools generate product descriptions, personalized marketing messages, and sales reports, enabling retailers to deliver tailored and engaging content to their customers.

Regional Outlook

Region-wise, the natural language generation market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America region witnessed 38% revenue share in the natural language generation market in 2023. The dominance of North America is attributed to the advanced technological infrastructure, high adoption rate of artificial intelligence (AI) technologies, and significant investments in NLG solutions. The presence of major NLG vendors and a strong focus on innovation and research further drive the market growth in this region.

Recent Strategies Deployed in the Market

• Jul-2024: Salesforce, Inc. announced the partnership with Workday, Inc., a leading provider of solutions to help organizations manage their people and money to unveil an AI employee service agent to automate tasks, deliver personalized support, and provide data-driven insights. Integrating Salesforce’s Agentforce Platform and Einstein AI with Workday’s solutions will help organizations develop agents for various employee service scenarios, enhancing efficiency and driving success.
• Jun-2024: Amazon Web Services, Inc. CloudWatch unveiled natural language query generation for Logs Insights and Metrics Insights, powered by generative AI. This feature enables users to generate queries using plain English, simplifying extracting insights from logs and metrics. It also offers query refinement, time adjustments, and code explanations.
• Jan-2024: Amazon Web Services, Inc. announced the partnership with Siemens AG, a German multinational technology conglomerate company to simplify the creation and scaling of generative AI applications across industries. Siemens is integrating AWS's Amazon Bedrock with its Mendix low-code platform, enabling domain experts in sectors like engineering, logistics, and finance to develop advanced AI-driven solutions securely and efficiently.
• Oct-2023: IBM Corporation unveiled Watsonx Code Assistant, a generative AI tool that helps developers and IT operators code faster using natural language prompts. It supports IT automation for Red Hat Ansible Lightspeed and COBOL-to-Java translation for mainframe modernization. Built on IBM's Granite foundation models, it emphasizes trust, security, and compliance.
• Sep-2023: SAS Institute Inc. collaborates with clients unveils digital twin simulations for manufacturing and logistics, and generates synthetic data for banking and healthcare. The company is also exploring large language models (LLMs) to address industry challenges, emphasizing trusted, secure outcomes through comprehensive domain expertise, advanced AI, and robust governance.

List of Key Companies Profiled

• IBM Corporation
• Microsoft Corporation
• Google LLC (Alphabet Inc.)
• Amazon Web Services, Inc. (Amazon.com, Inc.)
• SAS Institute Inc.
• Salesforce, Inc.
• Arria NLG Limited
• vPhrase
• Retresco GmbH
• Yseop

Global Natural Language Generation Market Report Segmentation

By Enterprise Size

• Large Enterprise
• Small & Medium Enterprise (SME)

By Application

• Risk & Compliance Management
• Customer Experience Management
• Fraud Detection & Anti-Money Laundering (AML)
• Predictive Maintenance
• Performance Management
• Other Application

By Solutions

• Software
• Service

By Deployment

• Cloud
• On-premises

By Vertical

• Banking, Financial Services & Insurance
• Manufacturing
• Retail & Ecommerce
• Government & Defense
• Telecom & IT
• Healthcare & Lifesciences
• Energy & Utilities
• Media & Entertainment
• Other Vertical

By Geography

• North America
• US
• Canada
• Mexico
• Rest of North America
• Europe
• Germany
• UK
• France
• Russia
• Spain
• Italy
• Rest of Europe
• Asia Pacific
• China
• Japan
• India
• South Korea
• Australia
• Malaysia
• Rest of Asia Pacific
• LAMEA
• Brazil
• Argentina
• UAE
• Saudi Arabia
• South Africa
• Nigeria
• Rest of LAMEA