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
By Deployment
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
Table of Contents
Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 Global Natural Language Generation Market, by Enterprise Size
- 1.4.2 Global Natural Language Generation Market, by Application
- 1.4.3 Global Natural Language Generation Market, by Solutions
- 1.4.4 Global Natural Language Generation Market, by Deployment
- 1.4.5 Global Natural Language Generation Market, by Vertical
- 1.4.6 Global Natural Language Generation Market, by Geography
- 1.5 Methodology for the research
Chapter 2. Market at a Glance
Chapter 3. Market Overview
- 3.1 Introduction
- 3.1.1 Overview
- 3.1.1.1 Market Composition and Scenario
- 3.2 Key Factors Impacting the Market
- 3.2.1 Market Drivers
- 3.2.2 Market Restraints
- 3.2.3 Market Opportunities
- 3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
- 4.1 KBV Cardinal Matrix
- 4.2 Recent Industry Wide Strategic Developments
- 4.2.1 Partnerships, Collaborations and Agreements
- 4.2.2 Product Launches and Product Expansions
- 4.2.3 Acquisition and Mergers
- 4.3 Market Share Analysis, 2023
- 4.4 Top Winning Strategies
- 4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
- 4.4.2 Key Strategic Move: (Product Launches and Product Expansions : 2023, Mar - 2024, Jun) Leading Players
- 4.5 Porter Five Forces Analysis
Chapter 5. Global Natural Language Generation Market by Enterprise Size
- 5.1 Global Large Enterprise Market by Region
- 5.2 Global Small & Medium Enterprise (SME) Market by Region
Chapter 6. Global Natural Language Generation Market by Application
- 6.1 Global Risk & Compliance Management Market by Region
- 6.2 Global Customer Experience Management Market by Region
- 6.3 Global Fraud Detection & Anti-Money Laundering (AML) Market by Region
- 6.4 Global Predictive Maintenance Market by Region
- 6.5 Global Performance Management Market by Region
- 6.6 Global Other Application Market by Region
Chapter 7. Global Natural Language Generation Market by Solutions
- 7.1 Global Software Market by Region
- 7.2 Global Service Market by Region
Chapter 8. Global Natural Language Generation Market by Deployment
- 8.1 Global Cloud Market by Region
- 8.2 Global On-premises Market by Region
Chapter 9. Global Natural Language Generation Market by Vertical
- 9.1 Global Banking, Financial Services & Insurance Market by Region
- 9.2 Global Manufacturing Market by Region
- 9.3 Global Retail & Ecommerce Market by Region
- 9.4 Global Government & Defense Market by Region
- 9.5 Global Telecom & IT Market by Region
- 9.6 Global Healthcare & Lifesciences Market by Region
- 9.7 Global Energy & Utilities Market by Region
- 9.8 Global Media & Entertainment Market by Region
- 9.9 Global Other Vertical Market by Region
Chapter 10. Global Natural Language Generation Market by Region
- 10.1 North America Natural Language Generation Market
- 10.1.1 North America Natural Language Generation Market by Enterprise Size
- 10.1.1.1 North America Large Enterprise Market by Region
- 10.1.1.2 North America Small & Medium Enterprise (SME) Market by Region
- 10.1.2 North America Natural Language Generation Market by Application
- 10.1.2.1 North America Risk & Compliance Management Market by Country
- 10.1.2.2 North America Customer Experience Management Market by Country
- 10.1.2.3 North America Fraud Detection & Anti-Money Laundering (AML) Market by Country
- 10.1.2.4 North America Predictive Maintenance Market by Country
- 10.1.2.5 North America Performance Management Market by Country
- 10.1.2.6 North America Other Application Market by Country
- 10.1.3 North America Natural Language Generation Market by Solutions
- 10.1.3.1 North America Software Market by Country
- 10.1.3.2 North America Service Market by Country
- 10.1.4 North America Natural Language Generation Market by Deployment
- 10.1.4.1 North America Cloud Market by Country
- 10.1.4.2 North America On-premises Market by Country
- 10.1.5 North America Natural Language Generation Market by Vertical
- 10.1.5.1 North America Banking, Financial Services & Insurance Market by Country
- 10.1.5.2 North America Manufacturing Market by Country
- 10.1.5.3 North America Retail & Ecommerce Market by Country
- 10.1.5.4 North America Government & Defense Market by Country
- 10.1.5.5 North America Telecom & IT Market by Country
- 10.1.5.6 North America Healthcare & Lifesciences Market by Country
- 10.1.5.7 North America Energy & Utilities Market by Country
- 10.1.5.8 North America Media & Entertainment Market by Country
- 10.1.5.9 North America Other Vertical Market by Country
- 10.1.6 North America Natural Language Generation Market by Country
- 10.1.6.1 US Natural Language Generation Market
- 10.1.6.1.1 US Natural Language Generation Market by Enterprise Size
- 10.1.6.1.2 US Natural Language Generation Market by Application
- 10.1.6.1.3 US Natural Language Generation Market by Solutions
- 10.1.6.1.4 US Natural Language Generation Market by Deployment
- 10.1.6.1.5 US Natural Language Generation Market by Vertical
- 10.1.6.2 Canada Natural Language Generation Market
- 10.1.6.2.1 Canada Natural Language Generation Market by Enterprise Size
- 10.1.6.2.2 Canada Natural Language Generation Market by Application
- 10.1.6.2.3 Canada Natural Language Generation Market by Solutions
- 10.1.6.2.4 Canada Natural Language Generation Market by Deployment
- 10.1.6.2.5 Canada Natural Language Generation Market by Vertical
- 10.1.6.3 Mexico Natural Language Generation Market
- 10.1.6.3.1 Mexico Natural Language Generation Market by Enterprise Size
- 10.1.6.3.2 Mexico Natural Language Generation Market by Application
- 10.1.6.3.3 Mexico Natural Language Generation Market by Solutions
- 10.1.6.3.4 Mexico Natural Language Generation Market by Deployment
- 10.1.6.3.5 Mexico Natural Language Generation Market by Vertical
- 10.1.6.4 Rest of North America Natural Language Generation Market
- 10.1.6.4.1 Rest of North America Natural Language Generation Market by Enterprise Size
- 10.1.6.4.2 Rest of North America Natural Language Generation Market by Application
- 10.1.6.4.3 Rest of North America Natural Language Generation Market by Solutions
- 10.1.6.4.4 Rest of North America Natural Language Generation Market by Deployment
- 10.1.6.4.5 Rest of North America Natural Language Generation Market by Vertical
- 10.2 Europe Natural Language Generation Market
- 10.2.1 Europe Natural Language Generation Market by Enterprise Size
- 10.2.1.1 Europe Large Enterprise Market by Country
- 10.2.1.2 Europe Small & Medium Enterprise (SME) Market by Country
- 10.2.2 Europe Natural Language Generation Market by Application
- 10.2.2.1 Europe Risk & Compliance Management Market by Country
- 10.2.2.2 Europe Customer Experience Management Market by Country
- 10.2.2.3 Europe Fraud Detection & Anti-Money Laundering (AML) Market by Country
- 10.2.2.4 Europe Predictive Maintenance Market by Country
- 10.2.2.5 Europe Performance Management Market by Country
- 10.2.2.6 Europe Other Application Market by Country
- 10.2.3 Europe Natural Language Generation Market by Solutions
- 10.2.3.1 Europe Software Market by Country
- 10.2.3.2 Europe Service Market by Country
- 10.2.4 Europe Natural Language Generation Market by Deployment
- 10.2.4.1 Europe Cloud Market by Country
- 10.2.4.2 Europe On-premises Market by Country
- 10.2.5 Europe Natural Language Generation Market by Vertical
- 10.2.5.1 Europe Banking, Financial Services & Insurance Market by Country
- 10.2.5.2 Europe Manufacturing Market by Country
- 10.2.5.3 Europe Retail & Ecommerce Market by Country
- 10.2.5.4 Europe Government & Defense Market by Country
- 10.2.5.5 Europe Telecom & IT Market by Country
- 10.2.5.6 Europe Healthcare & Lifesciences Market by Country
- 10.2.5.7 Europe Energy & Utilities Market by Country
- 10.2.5.8 Europe Media & Entertainment Market by Country
- 10.2.5.9 Europe Other Vertical Market by Country
- 10.2.6 Europe Natural Language Generation Market by Country
- 10.2.6.1 Germany Natural Language Generation Market
- 10.2.6.1.1 Germany Natural Language Generation Market by Enterprise Size
- 10.2.6.1.2 Germany Natural Language Generation Market by Application
- 10.2.6.1.3 Germany Natural Language Generation Market by Solutions
- 10.2.6.1.4 Germany Natural Language Generation Market by Deployment
- 10.2.6.1.5 Germany Natural Language Generation Market by Vertical
- 10.2.6.2 UK Natural Language Generation Market
- 10.2.6.2.1 UK Natural Language Generation Market by Enterprise Size
- 10.2.6.2.2 UK Natural Language Generation Market by Application
- 10.2.6.2.3 UK Natural Language Generation Market by Solutions
- 10.2.6.2.4 UK Natural Language Generation Market by Deployment
- 10.2.6.2.5 UK Natural Language Generation Market by Vertical
- 10.2.6.3 France Natural Language Generation Market
- 10.2.6.3.1 France Natural Language Generation Market by Enterprise Size
- 10.2.6.3.2 France Natural Language Generation Market by Application
- 10.2.6.3.3 France Natural Language Generation Market by Solutions
- 10.2.6.3.4 France Natural Language Generation Market by Deployment
- 10.2.6.3.5 France Natural Language Generation Market by Vertical
- 10.2.6.4 Russia Natural Language Generation Market
- 10.2.6.4.1 Russia Natural Language Generation Market by Enterprise Size
- 10.2.6.4.2 Russia Natural Language Generation Market by Application
- 10.2.6.4.3 Russia Natural Language Generation Market by Solutions
- 10.2.6.4.4 Russia Natural Language Generation Market by Deployment
- 10.2.6.4.5 Russia Natural Language Generation Market by Vertical
- 10.2.6.5 Spain Natural Language Generation Market
- 10.2.6.5.1 Spain Natural Language Generation Market by Enterprise Size
- 10.2.6.5.2 Spain Natural Language Generation Market by Application
- 10.2.6.5.3 Spain Natural Language Generation Market by Solutions
- 10.2.6.5.4 Spain Natural Language Generation Market by Deployment
- 10.2.6.5.5 Spain Natural Language Generation Market by Vertical
- 10.2.6.6 Italy Natural Language Generation Market
- 10.2.6.6.1 Italy Natural Language Generation Market by Enterprise Size
- 10.2.6.6.2 Italy Natural Language Generation Market by Application
- 10.2.6.6.3 Italy Natural Language Generation Market by Solutions
- 10.2.6.6.4 Italy Natural Language Generation Market by Deployment
- 10.2.6.6.5 Italy Natural Language Generation Market by Vertical
- 10.2.6.7 Rest of Europe Natural Language Generation Market
- 10.2.6.7.1 Rest of Europe Natural Language Generation Market by Enterprise Size
- 10.2.6.7.2 Rest of Europe Natural Language Generation Market by Application
- 10.2.6.7.3 Rest of Europe Natural Language Generation Market by Solutions
- 10.2.6.7.4 Rest of Europe Natural Language Generation Market by Deployment
- 10.2.6.7.5 Rest of Europe Natural Language Generation Market by Vertical
- 10.3 Asia Pacific Natural Language Generation Market
- 10.3.1 Asia Pacific Natural Language Generation Market by Enterprise Size
- 10.3.1.1 Asia Pacific Large Enterprise Market by Country
- 10.3.1.2 Asia Pacific Small & Medium Enterprise (SME) Market by Country
- 10.3.2 Asia Pacific Natural Language Generation Market by Application
- 10.3.2.1 Asia Pacific Risk & Compliance Management Market by Country
- 10.3.2.2 Asia Pacific Customer Experience Management Market by Country
- 10.3.2.3 Asia Pacific Fraud Detection & Anti-Money Laundering (AML) Market by Country
- 10.3.2.4 Asia Pacific Predictive Maintenance Market by Country
- 10.3.2.5 Asia Pacific Performance Management Market by Country
- 10.3.2.6 Asia Pacific Other Application Market by Country
- 10.3.3 Asia Pacific Natural Language Generation Market by Solutions
- 10.3.3.1 Asia Pacific Software Market by Country
- 10.3.3.2 Asia Pacific Service Market by Country
- 10.3.4 Asia Pacific Natural Language Generation Market by Deployment
- 10.3.4.1 Asia Pacific Cloud Market by Country
- 10.3.4.2 Asia Pacific On-premises Market by Country
- 10.3.5 Asia Pacific Natural Language Generation Market by Vertical
- 10.3.5.1 Asia Pacific Banking, Financial Services & Insurance Market by Country
- 10.3.5.2 Asia Pacific Manufacturing Market by Country
- 10.3.5.3 Asia Pacific Retail & Ecommerce Market by Country
- 10.3.5.4 Asia Pacific Government & Defense Market by Country
- 10.3.5.5 Asia Pacific Telecom & IT Market by Country
- 10.3.5.6 Asia Pacific Healthcare & Lifesciences Market by Country
- 10.3.5.7 Asia Pacific Energy & Utilities Market by Country
- 10.3.5.8 Asia Pacific Media & Entertainment Market by Country
- 10.3.5.9 Asia Pacific Other Vertical Market by Country
- 10.3.6 Asia Pacific Natural Language Generation Market by Country
- 10.3.6.1 China Natural Language Generation Market
- 10.3.6.1.1 China Natural Language Generation Market by Enterprise Size
- 10.3.6.1.2 China Natural Language Generation Market by Application
- 10.3.6.1.3 China Natural Language Generation Market by Solutions
- 10.3.6.1.4 China Natural Language Generation Market by Deployment
- 10.3.6.1.5 China Natural Language Generation Market by Vertical
- 10.3.6.2 Japan Natural Language Generation Market
- 10.3.6.2.1 Japan Natural Language Generation Market by Enterprise Size
- 10.3.6.2.2 Japan Natural Language Generation Market by Application
- 10.3.6.2.3 Japan Natural Language Generation Market by Solutions
- 10.3.6.2.4 Japan Natural Language Generation Market by Deployment
- 10.3.6.2.5 Japan Natural Language Generation Market by Vertical
- 10.3.6.3 India Natural Language Generation Market
- 10.3.6.3.1 India Natural Language Generation Market by Enterprise Size
- 10.3.6.3.2 India Natural Language Generation Market by Application
- 10.3.6.3.3 India Natural Language Generation Market by Solutions
- 10.3.6.3.4 India Natural Language Generation Market by Deployment
- 10.3.6.3.5 India Natural Language Generation Market by Vertical
- 10.3.6.4 South Korea Natural Language Generation Market
- 10.3.6.4.1 South Korea Natural Language Generation Market by Enterprise Size
- 10.3.6.4.2 South Korea Natural Language Generation Market by Application
- 10.3.6.4.3 South Korea Natural Language Generation Market by Solutions
- 10.3.6.4.4 South Korea Natural Language Generation Market by Deployment
- 10.3.6.4.5 South Korea Natural Language Generation Market by Vertical
- 10.3.6.5 Australia Natural Language Generation Market
- 10.3.6.5.1 Australia Natural Language Generation Market by Enterprise Size
- 10.3.6.5.2 Australia Natural Language Generation Market by Application
- 10.3.6.5.3 Australia Natural Language Generation Market by Solutions
- 10.3.6.5.4 Australia Natural Language Generation Market by Deployment
- 10.3.6.5.5 Australia Natural Language Generation Market by Vertical
- 10.3.6.6 Malaysia Natural Language Generation Market
- 10.3.6.6.1 Malaysia Natural Language Generation Market by Enterprise Size
- 10.3.6.6.2 Malaysia Natural Language Generation Market by Application
- 10.3.6.6.3 Malaysia Natural Language Generation Market by Solutions
- 10.3.6.6.4 Malaysia Natural Language Generation Market by Deployment
- 10.3.6.6.5 Malaysia Natural Language Generation Market by Vertical
- 10.3.6.7 Rest of Asia Pacific Natural Language Generation Market
- 10.3.6.7.1 Rest of Asia Pacific Natural Language Generation Market by Enterprise Size
- 10.3.6.7.2 Rest of Asia Pacific Natural Language Generation Market by Application
- 10.3.6.7.3 Rest of Asia Pacific Natural Language Generation Market by Solutions
- 10.3.6.7.4 Rest of Asia Pacific Natural Language Generation Market by Deployment
- 10.3.6.7.5 Rest of Asia Pacific Natural Language Generation Market by Vertical
- 10.4 LAMEA Natural Language Generation Market
- 10.4.1 LAMEA Natural Language Generation Market by Enterprise Size
- 10.4.1.1 LAMEA Large Enterprise Market by Country
- 10.4.1.2 LAMEA Small & Medium Enterprise (SME) Market by Country
- 10.4.2 LAMEA Natural Language Generation Market by Application
- 10.4.2.1 LAMEA Risk & Compliance Management Market by Country
- 10.4.2.2 LAMEA Customer Experience Management Market by Country
- 10.4.2.3 LAMEA Fraud Detection & Anti-Money Laundering (AML) Market by Country
- 10.4.2.4 LAMEA Predictive Maintenance Market by Country
- 10.4.2.5 LAMEA Performance Management Market by Country
- 10.4.2.6 LAMEA Other Application Market by Country
- 10.4.3 LAMEA Natural Language Generation Market by Solutions
- 10.4.3.1 LAMEA Software Market by Country
- 10.4.3.2 LAMEA Service Market by Country
- 10.4.4 LAMEA Natural Language Generation Market by Deployment
- 10.4.4.1 LAMEA Cloud Market by Country
- 10.4.4.2 LAMEA On-premises Market by Country
- 10.4.5 LAMEA Natural Language Generation Market by Vertical
- 10.4.5.1 LAMEA Banking, Financial Services & Insurance Market by Country
- 10.4.5.2 LAMEA Manufacturing Market by Country
- 10.4.5.3 LAMEA Retail & Ecommerce Market by Country
- 10.4.5.4 LAMEA Government & Defense Market by Country
- 10.4.5.5 LAMEA Telecom & IT Market by Country
- 10.4.5.6 LAMEA Healthcare & Lifesciences Market by Country
- 10.4.5.7 LAMEA Energy & Utilities Market by Country
- 10.4.5.8 LAMEA Media & Entertainment Market by Country
- 10.4.5.9 LAMEA Other Vertical Market by Country
- 10.4.6 LAMEA Natural Language Generation Market by Country
- 10.4.6.1 Brazil Natural Language Generation Market
- 10.4.6.1.1 Brazil Natural Language Generation Market by Enterprise Size
- 10.4.6.1.2 Brazil Natural Language Generation Market by Application
- 10.4.6.1.3 Brazil Natural Language Generation Market by Solutions
- 10.4.6.1.4 Brazil Natural Language Generation Market by Deployment
- 10.4.6.1.5 Brazil Natural Language Generation Market by Vertical
- 10.4.6.2 Argentina Natural Language Generation Market
- 10.4.6.2.1 Argentina Natural Language Generation Market by Enterprise Size
- 10.4.6.2.2 Argentina Natural Language Generation Market by Application
- 10.4.6.2.3 Argentina Natural Language Generation Market by Solutions
- 10.4.6.2.4 Argentina Natural Language Generation Market by Deployment
- 10.4.6.2.5 Argentina Natural Language Generation Market by Vertical
- 10.4.6.3 UAE Natural Language Generation Market
- 10.4.6.3.1 UAE Natural Language Generation Market by Enterprise Size
- 10.4.6.3.2 UAE Natural Language Generation Market by Application
- 10.4.6.3.3 UAE Natural Language Generation Market by Solutions
- 10.4.6.3.4 UAE Natural Language Generation Market by Deployment
- 10.4.6.3.5 UAE Natural Language Generation Market by Vertical
- 10.4.6.4 Saudi Arabia Natural Language Generation Market
- 10.4.6.4.1 Saudi Arabia Natural Language Generation Market by Enterprise Size
- 10.4.6.4.2 Saudi Arabia Natural Language Generation Market by Application
- 10.4.6.4.3 Saudi Arabia Natural Language Generation Market by Solutions
- 10.4.6.4.4 Saudi Arabia Natural Language Generation Market by Deployment
- 10.4.6.4.5 Saudi Arabia Natural Language Generation Market by Vertical
- 10.4.6.5 South Africa Natural Language Generation Market
- 10.4.6.5.1 South Africa Natural Language Generation Market by Enterprise Size
- 10.4.6.5.2 South Africa Natural Language Generation Market by Application
- 10.4.6.5.3 South Africa Natural Language Generation Market by Solutions
- 10.4.6.5.4 South Africa Natural Language Generation Market by Deployment
- 10.4.6.5.5 South Africa Natural Language Generation Market by Vertical
- 10.4.6.6 Nigeria Natural Language Generation Market
- 10.4.6.6.1 Nigeria Natural Language Generation Market by Enterprise Size
- 10.4.6.6.2 Nigeria Natural Language Generation Market by Application
- 10.4.6.6.3 Nigeria Natural Language Generation Market by Solutions
- 10.4.6.6.4 Nigeria Natural Language Generation Market by Deployment
- 10.4.6.6.5 Nigeria Natural Language Generation Market by Vertical
- 10.4.6.7 Rest of LAMEA Natural Language Generation Market
- 10.4.6.7.1 Rest of LAMEA Natural Language Generation Market by Enterprise Size
- 10.4.6.7.2 Rest of LAMEA Natural Language Generation Market by Application
- 10.4.6.7.3 Rest of LAMEA Natural Language Generation Market by Solutions
- 10.4.6.7.4 Rest of LAMEA Natural Language Generation Market by Deployment
- 10.4.6.7.5 Rest of LAMEA Natural Language Generation Market by Vertical
Chapter 11. Company Profiles
- 11.1 IBM Corporation
- 11.1.1 Company Overview
- 11.1.2 Financial Analysis
- 11.1.3 Regional & Segmental Analysis
- 11.1.4 Research & Development Expenses
- 11.1.5 Recent strategies and developments:
- 11.1.5.1 Product Launches and Product Expansions:
- 11.1.6 SWOT Analysis
- 11.2 Microsoft Corporation
- 11.2.1 Company Overview
- 11.2.2 Financial Analysis
- 11.2.3 Segmental and Regional Analysis
- 11.2.4 Research & Development Expenses
- 11.2.5 SWOT Analysis
- 11.3 Google LLC (Alphabet Inc.)
- 11.3.1 Company Overview
- 11.3.2 Financial Analysis
- 11.3.3 Segmental and Regional Analysis
- 11.3.4 Research & Development Expense
- 11.3.5 Recent strategies and developments:
- 11.3.5.1 Product Launches and Product Expansions:
- 11.3.6 SWOT Analysis
- 11.4 Amazon Web Services, Inc. (Amazon.com, Inc.)
- 11.4.1 Company Overview
- 11.4.2 Financial Analysis
- 11.4.3 Segmental Analysis
- 11.4.4 Recent strategies and developments:
- 11.4.4.1 Partnerships, Collaborations, and Agreements:
- 11.4.4.2 Product Launches and Product Expansions:
- 11.4.5 SWOT Analysis
- 11.5 SAS Institute, Inc.
- 11.5.1 Company Overview
- 11.5.2 Recent strategies and developments:
- 11.5.2.1 Product Launches and Product Expansions:
- 11.5.3 SWOT Analysis
- 11.6 Salesforce, Inc.
- 11.6.1 Company Overview
- 11.6.2 Financial Analysis
- 11.6.3 Regional Analysis
- 11.6.4 Research & Development Expenses
- 11.6.5 Recent strategies and developments:
- 11.6.5.1 Partnerships, Collaborations, and Agreements:
- 11.6.5.2 Product Launches and Product Expansions:
- 11.6.6 SWOT Analysis
- 11.7 Arria NLG Limited
- 11.7.1 Company Overview
- 11.7.2 Recent strategies and developments:
- 11.7.2.1 Product Launches and Product Expansions:
- 11.7.2.2 Acquisition and Mergers:
- 11.7.3 SWOT Analysis
- 11.8 vPhrase
- 11.8.1 Company Overview
- 11.8.2 SWOT Analysis
- 11.9 Retresco GmbH
- 11.9.1 Company Overview
- 11.9.2 SWOT Analysis
- 11.10. Yseop
- 11.10.1 Company Overview
- 11.10.2 Recent strategies and developments:
- 11.10.2.1 Product Launches and Product Expansions:
- 11.10.3 SWOT Analysis
Chapter 12. Winning Imperatives for Natural Language Generation Market