Major players of Global Natural Language Generation Market have adopted various strategies mergers & acquisitions, new product launches, expansions etc and Market is rapidly growing at a CAGR of +21.1% Till 2025

Natural language generation (NLG) is the natural language processing task of generating natural language from a machine representation system such as a knowledge base or a logical form. Psycholinguists prefer the term language production when such formal representations are interpreted as models for mental representations. Natural language generation (NLG) is a sub section of artificial intelligence (AI) which produces dialect as output based on information input. There are assortments of ways the innovation is being utilized, essentially to enhance profitability via reporting activities, mechanizing time-intensive data analysis and to build the estimation of information driven products by drawing in clients with instinctive natural language interfaces. Development of NLG Product will act as driving factor which will lead the natural language generation market. For instance, In September 2016, Arria NLG launched Recount software as a service (SaaS) business reporting tool which is being intended to work with huge web based accounting frameworks such as Quickbooks, Sage and Xero providing clients with instant financial bits of knowledge, communicated in plain dialect. In October 2017, Automated Insights, Inc. brought a new integration which makes more people to participate NLG directly within their Tableau dashboards. This will help in directly asking most pertinent questions within Tableau and to receive real-time analysis from Wordsmith.

Market Analysis

The Global Natural Language Generation Market accounted for USD 279.5 million in 2017 and is projected to grow at a CAGR of 21.1% during the forecast period of 2018 to 2025. The upcoming market report contains data for historic years 2016, the base year of calculation is 2017 and the forecast period is 2018 to 2025.

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Major Market Drivers & Market Restraint: Global Natural Language Generation Market

• Rising demand for intelligent business processes

• Strong necessity with respect to recognize customers behavior

• Proliferation of big data and the related technologies

• Lack of skilled professionals

This Report Consists of –

• No of pages: 350, No of Figures: 60, No of Tables: 220

Global Natural Language Generation Market, By Component (Software, Services), By Business Function (Finance, Operations, Marketing, Human Resources), By Deployment Model (Cloud, On Premises), By Organization Size (Small & Medium, Large), Application (Predictive Maintenance, Fraud Detection), End User, By Geography (North America, Europe, Asia-Pacific, Europe, South America, Middle East & Africa)– Industry Trends and Forecast to 2025

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Frequently Asked Questions?

• What will the market size be in 2025?
• What are the key factors driving the global market?
• What are the challenges to market growth?
• Who are the key players in the market?
• What are the market opportunities and threats faced by the key players?
• What will be the growth rate in 2025?
• Which strategies are used by top players in the Global Natural Language Generation Market?

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Market Segmentation: Global Natural Language Generation Market

The natural language generation market is segmented based on component, business function, deployment model, organization size, application end-users and geographical segments.

Based on component, the market is segmented into

• software,
• services

Services are sub segmented into professional services and managed services. Professional services are further sub segmented into consulting services and training and support.

On the basis of business function, the market is segmented into

• finance,
• operations,
• marketing and sales,
• human resources and legal

On the basis of deployment model, the market is segmented into

• cloud
• on premises

On the basis of organization size, the market is segmented into

• small and medium sized
• large sized enterprise

On the basis of application, the market is segmented into

• predictive maintenance,
• fraud detection and anti-money laundering,
• customer experience management,
• risk and compliance management

On the basis of end-users, the market is segmented into

• banking,
• financial services, and insurance (BFSI),
• healthcare,
• government,
• telecom,
• retail,
• manufacturing,
• energy and utilities,
• transportation and logistics and others

Based on geography the global natural language generation market report covers data points for 28 countries across multiple geographies such as

• North America,
• South America,
• Europe,
• Asia-Pacific and
• Middle East & Africa

Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, Saudi Arabia, South Africa, and Brazil among others.

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TABLE OF CONTENTS

1) Introduction

2) MARKET SEGMENTATION

3) Market Overview

• Drivers
• Restraints
• OPPORTUNITIES
• CHALLENGES

4) EXECUTIVE SUMMARY

5) premium insights

6) Global Natural Language Generation Market, by Component

7) Global Natural Language Generation Market, by Deployment Model

8) Global Natural Language Generation Market, Organization Size

9) Global Natural Language Generation Market, Application

10) Global Natural Language Generation Market, by geography

• Overview
• North America
• Europe
• Asia-Pacific
• south America
• Middle East and Africa

11) Global Natural Language Generation Market, Competitive Analysis

12) company profiles

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Competitive Landscape

The global natural language generation market is consolidated due to the presence of limited number of players concentrated in few countries. These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.

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Top Competitors of Market

• IBM Corporation,
• Automated Insights, Inc.,
• Amazon Web Services, Inc.,
• AX Semantics,
• Phrasetech,
• NARRATIVEWAVE,
• Yseop,
• Narrativa,
• Artificial Solutions,
• CoGenTex,
• Narrative Science,
• Conversica,
• Linguastat,
• Textual Relations,
• Phrasee,
• Retresco,
• 2txt – natural language generation GmbH and
• vPhrase

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