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Global Natural Language Generation (NLG) Market Competitive Strategies And Forecasts To 2033

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Overview and Scope
Natural language generation (NLG) is a subfield of artificial intelligence (AI) and natural language processing (NLP) that focuses on the automatic generation of human-readable text or speech from structured data or other non-linguistic forms. NLG aims to transform data into coherent and contextually relevant narratives that humans can easily understand.

Sizing and Forecast
The natural language generation (NLG) market size has grown exponentially in recent years. It will grow from $0.72 billion in 2023 to $0.88 billion in 2024 at a compound annual growth rate (CAGR) of 22.0%. The growth in the historic period can be attributed to Increased data availability, rise of big data analytics, improvements in natural language processing (NLP), demand for data-driven insights, and integration with business intelligence (BI) tools.

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Segmentation & Regional Insights
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

North America was the largest region in the natural language generation (NLG) market in 2023. 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.

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Major Driver Impacting Market Growth
Increasing volume and variety of data are expected to propel the growth of the natural language generation (NLG) market going forward. Volume and variety of data refers to the immense quantity and diverse types of information generated, collected, and processed by systems, applications, and devices, reflecting the ever-growing scale and heterogeneity of data in each context. Natural Language Generation (NLG) is used to effectively communicate insights from the increasing volume and variety of data by transforming complex datasets into coherent and understandable narratives, enabling businesses to derive meaningful information and make informed decisions in a more accessible and human-readable format. For instance, in February 2023, G2.com, a US-based software marketplace company, revealed that 87.8% of companies increased their data investments, which is 41% up from 2022. Therefore, the increasing volume and variety of data are driving the next language generation market.

Key Industry Players
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

The natural language generation (nlg) market report table of contents includes:

1. Executive Summary

2. Natural Language Generation (NLG) Market Characteristics

3. Natural Language Generation (NLG) Market Trends And Strategies

4. Natural Language Generation (NLG) Market – Macro Economic Scenario

5. Global Natural Language Generation (NLG) Market Size and Growth

…..

32. Global Natural Language Generation (NLG) Market Competitive Benchmarking

33. Global Natural Language Generation (NLG) Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Natural Language Generation (NLG) Market

35. Natural Language Generation (NLG) Market Future Outlook and Potential Analysis

36. Appendix

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