The Europe Natural Language Generation Market would witness market growth of 20.8% CAGR during the forecast period (2024-2031).
The Germany market dominated the Europe Natural Language Generation Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $164.7 million by 2031. The UK market is exhibiting a CAGR of 19.7% during (2024 - 2031). Additionally, The France market would experience a CAGR of 21.8% during (2024 - 2031).
NLG improves data visualization by transforming intricate data sets into narrative formats emphasizing critical insights, thereby simplifying the comprehension of the data's implications for non-technical stakeholders. In customer service, NLG can power Interactive Voice Response (IVR) systems by generating contextually relevant responses based on customer inquiries, leading to more efficient and satisfying interactions. Media organizations use NLG to automatically write articles on sports events, financial markets, or breaking news, allowing journalists to focus on in-depth analysis while automated systems handle routine reporting.
In addition, NLG can generate patient summaries, discharge instructions, and clinical notes from structured data entered by healthcare professionals, improving documentation efficiency and patient understanding. Educational platforms leverage NLG to create personalized quizzes, feedback, and learning materials tailored to individual student performance and needs, enhancing the learning experience. NLG automates the generation of user manuals, FAQs, and troubleshooting guides by converting technical specifications and common issues into user-friendly language, improving customer support resources.
The increasing prevalence of Artificial Intelligence (AI) and Machine Learning (ML) technologies across Europe significantly impacts the natural language generation market. As reported by Eurostat, in 2023, 8% of enterprises in the European Union with ten or more employees utilized AI technologies to enhance their business operations. Among the various applications of AI, automating workflows and assisting in decision-making through AI-based robotic process automation (RPA) emerged as the most commonly used, with 3% of enterprises implementing these solutions. The following are text mining and machine learning applications, which are utilized by 2.9% and 2.6% of enterprises, respectively. This trend indicates a rising demand for NLG tools that can automate the generation of insights from written language and streamline content creation processes. As businesses look to leverage AI for automation and enhanced decision-making, NLG will become an integral component of their strategies, facilitating improved content generation and overall efficiency in operations.
Free Valuable Insights: The Global Natural Language Generation Market will Hit USD 2.7 Billion by 2031, at a CAGR of 21.2%
Based on Enterprise Size, the market is segmented into Large Enterprise and Small & Medium Enterprise (SME). Based on Application, the market is segmented into Risk & Compliance Management, Customer Experience Management, Fraud Detection & Anti-Money Laundering (AML), Predictive Maintenance, Performance Management, and Other Application. Based on Solutions, the market is segmented into Software and Service. Based on Deployment, the market is segmented into Cloud and On-premises. Based on Vertical, the market is segmented into Banking, Financial Services & Insurance, Manufacturing, Retail & Ecommerce, Government & Defense, Telecom & IT, Healthcare & Lifesciences, Energy & Utilities, Media & Entertainment, and Other Vertical. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
By Enterprise Size
By Application
By Solutions
By Deployment
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By Country
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