Natural Language Generation (NLG) Market by Application (CEM, Fraud Detection & Anti-money laundering), Component (Software & Services), Business Function, Deployment Model, Organization Size, Industry Vertical, and Region - Global Forecast to 2023
[154 Pages Report] The global Natural Language Generation Market is expected to grow from USD 322.1 Million in 2018 to USD 825.3 Million by 2023, at a CAGR of 20.8% during the forecast period. The increasing volume and variety of data has resulted in a complex business environment. Owing to this, businesses are facing challenges in collecting and collaborating the vast amounts of data accumulated from organizations and system landscapes. Moreover, manually documenting information is tedious and time-consuming, and incurs additional operational expenses. Regulatory disclosures carry the risk of errors while consolidating and publishing financial statements, and hence, to mitigate the human errors and other discrepancies, companies are adopting Artificial Intelligence (AI)-based solutions. These solutions can reduce the human interference in business processes. NLG is a subfield of AI, where computers use the available data to produce texts, known as narratives. The base year considered for the study is 2017, and the forecast has been provided for the period between 2018 and 2023.
Natural Language Generation Market Dynamics
Drivers
- Strong need to understand customers behavior
- Proliferation of big data and the related technologies
Restraints
- Lack of skilled consultants to deploy nlg solutions and services
Opportunities
- Emerging options in application areas
- Increasing demand for intelligent business processes
Challenges
- Lack of awareness of NLG solutions
- Data security and quality issues
The retail and eCommerce industry vertical is expected to dominate the Natural Language Generation Market during the forecast period
In terms of industry verticals, the retail and eCommerce industry vertical is expected to continue to have the largest market share during the forecast period. The increasing use of internet-connected devices impacted businesses, as online retailers are recreating personalized store-like shopping environments for their customers. With huge volumes of customer and product-related data, NLG software and services can generate unique content and make product-related information more narrative.
Major objectives of the Natural Language Generation Market study:
The main objective of the report is to define, describe, and forecast the global natural language generation market by component (software and services), application, business function, deployment model, organization size, industry vertical, and region. The report provides detailed information regarding the major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the growth of the natural language generation market. The report aims at strategically analyzing micromarkets with respect to the individual growth trends, prospects, and contributions to the total market. The report attempts to forecast the market size with respect to 5 main regions, namely, North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America. The report strategically profiles the key players of the market and comprehensively analyzes their core competencies. It also tracks and analyzes competitive developments, such as partnerships, collaborations, and agreements, mergers and acquisitions, new product launches and new product developments, and Research and Development (R&D) activities in the natural language generation market.
The research methodology used to estimate and forecast the natural language generation market began with capturing data on key vendors revenues through secondary research that includes directories and databases (D&B Hoovers, Bloomberg Businessweek, and Factiva). Vendors offerings are also taken into consideration to determine the market segmentation. The bottom-up procedure was employed to arrive at the overall market size of the global natural language generation market. This procedure was derived from the revenues of the key players in the market. After arriving at the overall market size, the total market was split into several segments and subsegments, which were then verified through primary research by conducting extensive interviews with key people, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), directors, and executives. The data triangulation and market breakdown procedures were employed to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments. The breakdown of profiles of the primary participants is depicted in the figure below:
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The natural language generation ecosystem comprises vendors, such as Arria NLG (UK), Yseop (France), Narrative Science (US), Automated Insights (US), Retresco (Germany), CoGenTex (US), Phrasetech (Israel), Veritone (US), NewsRx (US), Conversica (US), Narrtiva (UAE), 2txt natural language generation GmbH (Germany), AX Semantics (Germany), AWS (US), IBM (US), Narrative Wave (US), Artificial Solutions (Spain), vPhrase (India), Linguastat (US), Textual Relations (Sweden), and Phrasee (UK).
Major Natural Language Generation Market Developments
- In February 2018, the WP Engine (Word Press) collaborated with AWS to launch Amazon Polly plugin, which converts texts into human-like speech.
- In April 2018, Retresco partnered with Deloitte to develop AI-driven NLG solutions for financial organizations to automate their business processes. Under this partnership, both the companies developed advanced solutions for analyzing and deriving insights from texts and data, using state-of-the-art technologies.
- In February 2017, Narrative Science made its Narratives available for the BI Application Programming Interface (API), which enabled the BI and analytics companies to add intelligent narratives to their platforms.
Key Target Audience for Natural Language Generation (NLG) Market
- Service providers and distributors
- Natural language generation application builders
- Independent Software Vendors (ISVs)
- Analytics consulting companies
- Enterprises
- End-users
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Scope of the Report
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By Component
- Software
- Services
- Managed services
- Professional services
- Consulting services
- Training and Support
By Application
- Customer Experience Management (CEM)
- Fraud Detection and Anti-money Laundering
- Risk and Compliance Management
- Performance Management
- Predictive Maintenance
- Others (Weather Forecasting and Forensics)
By Business Function
- Finance
- Legal
- Operations
- HR
- Marketing and Sales
By Deployment Model
- On-premises
- Cloud
By Organization Size
- Small and Medium-sized Enterprises (SMEs)
- Large enterprises
By Industry Vertical
- Banking, Financial Services, and Insurance (BFSI)
- Retail and eCommerce
- Government and Defense
- Healthcare and Life Sciences
- Manufacturing
- Energy and Utilities
- Telecom and IT
- Media and Entertainment
- Others (Research, Travel and Hospitality, and Real Estate)
By Region
- North America
- Europe
- Asia Pacific (APAC)
- Middle East and Africa (MEA)
- Latin America
Critical questions which the report answers
- What are new application areas which the NLG companies are exploring?
- Which are the key players in the market and how intense is the competition?
Available Customizations
With the given market data, MarketsandMarkets offers customizations as per the companys specific needs. The following customization options are available for the report:
Product Analysis
- Product matrix gives a detailed comparison of the product portfolio of each company
Company Information
- Detailed analysis and profiling of additional market players upto 5
Globalization has led to the expansion of businesses. The businesses potential to connect to new customers result in the generation of huge business data volumes from various sources worldwide. The implementation of the NLG software and associated Artificial Intelligence (AI) tools can help manage and utilize huge volumes of data properly. Customer experience has become one of the most important priorities for organizations; these organizations focus on maintaining positive relationships with customers to understand their needs for building better NLG software and services. NLG solutions also help the service providers in sending personalized messages to their customers rather than sending the same message to thousands of customers, thus driving the process of relationship building with their customers.
NLG software and services have a huge potential to accelerate businesses. Today, companies use NLG software to automate repetitive writing tasks, summarize large data sets and dashboards, and personalize cognitive content, such as emails and advertisements. NLG software and services also help organizations in saving time and money by enabling employees to focus on value-added tasks, in other words, the software and services simply reduce the efforts of the workforce.
The adoption of NLG solutions is expected to be increasing in the APAC and MEA regions, due to the rising pressure from regulatory bodies and the increasing number of AI giants in these regions. The increasing disposable income and the increasing digitalization have resulted in higher adoption of smartphones and other mobile devices in these regions, leading to vast amounts of data being generated from these devices. This, in turn, would demand technologically advanced analytics solutions to enhance the customer experience across various industry verticals.
Increasing demand for fraud detection & anti-money laundering, customer experience management, and predictive maintenance applications to drive the growth of the NLG market
Fraud Detection & Anti-Money Laundering
Fraudulent incidences have been observed frequently lately, thus making fraud detection more important and applicable across all the major industry verticals, such as BFSI, retail, healthcare, manufacturing, and government. Fraud detection, through its real-time, near-real-time, and batch analysis of all users activities, assists companies in safeguarding their customers and the enterprise information. AI and related technologies are gaining traction, as they are able to deliver results with minimum errors. While NLP is not new, NLG is a new concept, and with the increasing risks related to legal data entities, firms across the world are enforcing the use of natural languages to analyze structured data and identify hidden patterns and anomalies present in the large data sets. NLG enables compliance teams in organizations to build up situational contexts, explanations, and potential actions.
Predictive Maintenance
Predictive maintenance applications have witnessed an increase in adoption, as they assist users in extracting relevant information from the past data, which helps identify the upcoming trends and future outcomes. Predictive maintenance applications help organizations in improving their decision-making process with the help of data mining, regression, and clustering techniques. Therefore, the predictive maintenance application is expected to be adopted rapidly in the developed countries of North America and Europe. NLG software and services further help in automating the collected data and building reports, which predict the upcoming events, particularly in the production and manufacturing industry.
Customer Experience Management
CEM is an advanced and systematic analytical process, also known as customer intelligence, in which, the customers data is used by companies to better understand the customer behavior and make strategic business decisions with the help of customer segmentation and predictive analytics techniques. CEM is a systematic analysis of customer insights, which assist organizations in identifying and targeting the customers for marketing programs from their behavioral prediction. It helps organizations retain the existing customers, maximize the customer life cycle value, and gain customer loyalty. Data optimization involves a combination of processes and technologies, such as behavioral analysis, sentiment analysis over social media, predictive modelling, segmentation, and data visualization and reporting. The analysis of such huge data offers competitive advantage to organizations.
Critical questions the report answers:
- What are the potential applications of NLG in the near future?
- Which development strategies companies are adopting to increase their share in the NLG market?
Major vendors offer NLG software and services include Arria NLG, Yseop, IBM Corporation, Automated Insights, Inc., Artificial Solutions, NARRATIVEWAVE, Narrative Science, Narrativa, Amazon Web Services, Inc. (AWS), Retresco, Phrasee Ltd., Conversica, Inc. (Conversica), Linguastat, NewsRx, vPhrase, Phrasetech, CoGenTex, Inc. (CoGenTex), AX Semantics, Textual Relations, and 2txt - natural language generation GmbH (2txt). These players have adopted various strategies, such as venture capital funding, new product developments, partnerships, mergers, collaborations, and business expansions, to cater to the needs of the global NLG market.
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Table of Contents
1 Introduction (Page No. - 18)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Regional Scope
1.4 Years Considered for the Study
1.5 Currency
1.6 Stakeholders
2 Research Methodology (Page No. - 21)
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakdown of Primaries
2.1.2.2 Key Industry Insights
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.2 Top-Down Approach
2.3 Research Assumptions
2.4 Limitations
3 Executive Summary (Page No. - 28)
4 Premium Insights (Page No. - 33)
4.1 Attractive Market Opportunities in the Natural Language Generation Market
4.2 Market By Industry Vertical and Region
4.3 Investment Opportunities in the Market
5 Market Overview and Industry Trends (Page No. - 36)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Strong Need to Understand Customers Behavior
5.2.1.2 Proliferation of Big Data and the Related Technologies
5.2.2 Restraints
5.2.2.1 Lack of Skilled Consultants to Deploy NLG Solutions and Services
5.2.3 Opportunities
5.2.3.1 Emerging Options in Application Areas
5.2.3.2 Increasing Demand for Intelligent Business Processes
5.2.4 Challenges
5.2.4.1 Lack of Awareness of NLG Solutions
5.2.4.2 Data Security and Quality Issues
5.3 Industry Trends
5.3.1 Use Cases
5.3.1.1 Introduction
5.3.1.2 Use Case: NLG Solutions Increased the Efficiency of Creating and Iterating Detection Models
5.3.1.3 Use Case: Increase in Efficiency of Report Generation With NLG Solutions
5.3.1.4 Use Case: Ease of Business Processes With NLG Solutions
5.3.1.5 Use Case: Development of A Conversational Tool With NLG Platform
5.4 Best Practices to Be Followed in Natural Language Generation
5.5 Regulatory Implications
5.5.1 Sarbanes-Oxley Act of 2002
5.5.2 General Data Protection Regulation
5.5.3 Basel
6 Natural Language Generation Market, By Component (Page No. - 43)
6.1 Introduction
6.2 Software
6.3 Services
6.3.1 Managed Services
6.3.2 Professional Services
6.3.2.1 Training and Support
6.3.2.2 Consulting Services
7 Natural Language Generation Market, By Application (Page No. - 51)
7.1 Introduction
7.2 Fraud Detection and Anti-Money Laundering
7.3 Predictive Maintenance
7.4 Risk and Compliance Management
7.5 Customer Experience Management
7.6 Others
8 Market By Business Function (Page No. - 57)
8.1 Introduction
8.2 Finance
8.3 Legal
8.4 Marketing and Sales
8.5 Operations
8.6 Human Resources
9 Natural Language Generation Market, By Deployment Model (Page No. - 63)
9.1 Introduction
9.2 On-Premises
9.3 Cloud
10 Market By Organization Size (Page No. - 67)
10.1 Introduction
10.2 Small and Medium-Sized Enterprises
10.3 Large Enterprises
11 Natural Language Generation Market, By Industry Vertical (Page No. - 71)
11.1 Introduction
11.2 Banking, Financial Services, and Insurance
11.3 Retail and Ecommerce
11.4 Government and Defence
11.5 Healthcare and Life Sciences
11.6 Manufacturing
11.7 Telecom and IT
11.8 Media and Entertainment
11.9 Energy and Utilities
11.1 Others
12 Natural Language Generation Market, By Region (Page No. - 80)
12.1 Introduction
12.2 North America
12.2.1 By Country
12.2.1.1 United States
12.2.1.2 Canada
12.2.2 By Component
12.2.3 By Application
12.2.4 By Business Function
12.2.5 By Deployment Model
12.2.6 By Organization Size
12.2.7 By Industry Vertical
12.3 Europe
12.3.1 By Country
12.3.1.1 Germany
12.3.1.2 France
12.3.1.3 United Kingdom
12.3.1.4 Rest of Europe
12.3.2 By Component
12.3.3 By Application
12.3.4 By Business Function
12.3.5 By Deployment Model
12.3.6 By Organization Size
12.3.7 By Industry Vertical
12.4 Asia Pacific
12.4.1 By Country
12.4.1.1 China
12.4.1.2 Japan
12.4.1.3 South Korea
12.4.1.4 India
12.4.1.5 Rest of APAC
12.4.2 By Component
12.4.3 By Application
12.4.4 By Business Function
12.4.5 By Deployment Model
12.4.6 By Organization Size
12.4.7 By Industry Vertical
12.5 Latin America
12.5.1 By Country
12.5.1.1 Brazil
12.5.1.2 Mexico
12.5.1.3 Rest of Latin America
12.5.2 By Component
12.5.3 By Application
12.5.4 By Business Function
12.5.5 By Deployment Model
12.5.6 By Organization Size
12.5.7 By Industry Vertical
12.6 Middle East and Africa
12.6.1 By Country
12.6.1.1 Kingdom of Saudi Arabia
12.6.1.2 UAE
12.6.1.3 South Africa
12.6.1.4 Rest of Mea
12.6.2 By Component
12.6.3 By Application
12.6.4 By Business Function
12.6.5 By Deployment Model
12.6.6 By Organization Size
12.6.7 By Industry Vertical
13 Competitive Landscape (Page No. - 108)
13.1 Overview
13.2 Prominent Players Operating in the Natural Language Generation Market
13.3 Competitive Situations and Trends
13.3.1 Partnerships, Agreements, and Collaborations
13.3.2 New Product Launches
13.3.3 Acquisitions
14 Company Profiles (Page No. - 113)
14.1 Arria NLG
(Business Overview, Solutions Offered, Recent Developments, SWOT Analysis, and MnM View)*
14.2 AWS
14.3 IBM
14.4 Narrative Science
14.5 Automated Insights
14.6 Narrativa
14.7 Yseop
14.8 Retresco
14.9 Artificial Solutions
14.10 Phrasee
14.11 AX Semantics
14.12 CoGenTex
14.13 Phrasetech
14.14 NewsRx
14.15 Conversica
14.16 2txt Natural Language Generation GmbH.
14.17 NarrativeWave
14.18 vPhrase
14.19 Linguastat
14.20 Textual Relations
*Details on Business Overview, Solutions Offered, Recent Developments, SWOT Analysis, and MnM View Might Not Be Captured in Case of Unlisted Companies.
15 Appendix (Page No. - 145)
15.1 Insights of Industry Experts
15.2 Discussion Guide
15.3 Knowledge Store: Marketsandmarkets Subscription Portal
15.4 Introducing RT: Real-Time Market Intelligence
15.5 Available Customization
15.6 Related Reports
15.7 Author Details
List of Tables (87 Tables)
Table 1 United States Dollar Exchange Rate, 20142017
Table 2 Natural Language Generation Market Size, By Component, 20162023 (USD Million)
Table 3 Software: Market Size By Region, 20162023 (USD Million)
Table 4 Services: Market Size By Region, 20162023 (USD Million)
Table 5 Services: Market Size By Type, 20162023 (USD Million)
Table 6 Managed Services: Market Size By Region, 20162023 (USD Million)
Table 7 Professional Services: Market Size By Region, 20162023 (USD Million)
Table 8 Professional Services: Market Size By Type, 20162023 (USD Million)
Table 9 Training and Support Market Size, By Region, 20162023 (USD Million)
Table 10 Consulting Services Market Size, By Region, 20162023 (USD Million)
Table 11 Natural Language Generation Market Size, By Application, 20162023 (USD Million)
Table 12 Fraud Detection and Anti-Money Laundering: Market Size By Region, 20162023 (USD Million)
Table 13 Predictive Maintenance: Market Size By Region, 20162023 (USD Million)
Table 14 Risk and Compliance Management: Market Size By Region, 20162023 (USD Million)
Table 15 Customer Experience Management: Market Size By Region, 20162023 (USD Million)
Table 16 Others: Market Size By Region, 20162023 (USD Million)
Table 17 Natural Language Generation Market Size, By Business Function, 20162023 (USD Million)
Table 18 Finance: Market Size By Region, 20162023 (USD Million)
Table 19 Legal: Market Size By Region, 20162023 (USD Million)
Table 20 Marketing and Sales: Market Size By Region, 20162023 (USD Million)
Table 21 Operations: Market Size By Region, 20162023 (USD Million)
Table 22 Human Resources: Market Size, By Region, 20162023 (USD Million)
Table 23 Natural Language Generation Market Size, By Deployment Model, 20162023 (USD Million)
Table 24 On-Premises: Market Size By Region, 20162023 (USD Million)
Table 25 Cloud: Market Size By Region, 20162023 (USD Million)
Table 26 Natural Language Generation Market Size, By Organization Size, 20162023 (USD Million)
Table 27 Small and Medium-Sized Enterprises: Market Size By Region, 20162023 (USD Million)
Table 28 Large Enterprises: Market Size By Region, 20162023 (USD Million)
Table 29 Natural Language Generation Market Size, By Industry Vertical, 20162023 (USD Million)
Table 30 Banking, Financial Services, and Insurance: Market Size By Region, 20162023 (USD Million)
Table 31 Retail and Ecommerce: Market Size By Region, 20162023 (USD Million)
Table 32 Government and Defense: Market Size By Region, 20162023 (USD Million)
Table 33 Healthcare and Life Sciences: Market Size By Region, 20162023 (USD Million)
Table 34 Manufacturing: Market Size By Region, 20162023 (USD Million)
Table 35 Telecom and IT: Market Size By Region, 20162023 (USD Million)
Table 36 Media and Entertainment: Market Size By Region, 20162023 (USD Million)
Table 37 Energy and Utilities: Market Size By Region, 20162023 (USD Million)
Table 38 Others: Market Size By Region, 20162023 (USD Million)
Table 39 Natural Language Generation Market Size, By Region, 20162023 (USD Million)
Table 40 North America: Market Size By Country, 20162023 (USD Million)
Table 41 North America: Market Size By Component, 20162023 (USD Million)
Table 42 North America: Market Size By Service, 20162023 (USD Million)
Table 43 North America: Market Size By Professional Service, 20162023 (USD Million)
Table 44 North America: Market Size By Application, 20162023 (USD Million)
Table 45 North America: Market Size By Business Function, 20162023 (USD Million)
Table 46 North America: Market Size By Deployment Model, 20162023 (USD Million)
Table 47 North America: Market Size By Organization Size, 20162023 (USD Million)
Table 48 North America: Market Size By Industry Vertical, 20162023 (USD Million)
Table 49 Europe: Natural Language Generation Market Size, By Country, 20162023 (USD Million)
Table 50 Europe: Market Size By Component, 20162023 (USD Million)
Table 51 Europe: Market Size By Service, 20162023 (USD Million)
Table 52 Europe: Market Size By Professional Service, 20162023 (USD Million)
Table 53 Europe: Market Size By Application, 20162023 (USD Million)
Table 54 Europe: Market Size By Business Function, 20162023 (USD Million)
Table 55 Europe: Market Size By Deployment Model, 20162023 (USD Million)
Table 56 Europe: Market Size By Organization Size, 20162023 (USD Million)
Table 57 Europe: Market Size By Industry Vertical, 20152022 (USD Million)
Table 58 Asia Pacific: Natural Language Generation Market Size, By Country, 20162023 (USD Million)
Table 59 Asia Pacific: Market Size By Component, 20152022 (USD Million)
Table 60 Asia Pacific: Market Size By Service, 20162023 (USD Million)
Table 61 Asia Pacific: Market Size By Professional Service, 20162023 (USD Million)
Table 62 Asia Pacific: Market Size By Application, 20162023 (USD Million)
Table 63 Asia Pacific: Market Size By Business Function, 20162023 (USD Million)
Table 64 Asia Pacific: Market Size By Deployment Model, 20162023 (USD Million)
Table 65 Asia Pacific: Market SizeBy Organization Size, 20162023 (USD Million)
Table 66 Asia Pacific: Market Size By Industry Vertical, 20162023 (USD Million)
Table 67 Latin America: Natural Language Generation Market Size, By Country, 20162023 (USD Million)
Table 68 Latin America: Market Size By Component, 20162023 (USD Million)
Table 69 Latin America: Market Size By Service, 20162023 (USD Million)
Table 70 Latin America: Market Size By Professional Service, 20162023 (USD Million)
Table 71 Latin America: Market Size By Application, 20162023 (USD Million)
Table 72 Latin America: Market Size By Business Function, 20162023 (USD Million)
Table 73 Latin America: Market Size By Deployment Model, 20162023 (USD Million)
Table 74 Latin America: Market Size By Organization Size, 20162023 (USD Million)
Table 75 Latin America: Market Size By Industry Vertical, 20162023 (USD Million)
Table 76 Middle East and Africa: Natural Language Generation Market Size, By Country, 20162023 (USD Million)
Table 77 Middle East and Africa: Market Size By Component, 20162023 (USD Million)
Table 78 Middle East and Africa: Market Size By Service, 20162023 (USD Million)
Table 79 Middle East and Africa: Market Size By Professional Service, 20162023 (USD Million)
Table 80 Middle East and Africa: Market Size By Application, 20162023 (USD Million)
Table 81 Middle East and Africa: Market Size By Business Function, 20162023 (USD Million)
Table 82 Middle East and Africa: Market Size By Deployment Model, 20162023 (USD Million)
Table 83 Middle East and Africa: Market Size By Organization Size, 20162023 (USD Million)
Table 84 Middle East and Africa: Market Size By Industry Vertical, 20162023 (USD Million)
Table 85 Partnerships, Agreements, and Collaborations, 20162018
Table 86 New Product Launches, 20152017
Table 87 Acquisitions, 20162018
List of Figures (35 Figures)
Figure 1 Natural Language Generation Market Segmentation
Figure 2 Market Research Design
Figure 3 Breakdown of Primary Interviews: By Company, Designation, and Region
Figure 4 Data Triangulation
Figure 5 Market Size Estimation Methodology: Bottom-Up Approach
Figure 6 Market Size Estimation Methodology: Top-Down Approach
Figure 7 Natural Language Generation Market: Assumptions
Figure 8 Natural Language Generation Market is Expected to Witness A High Growth During the Forecast Period
Figure 9 Market By Component (2018 vs 2023)
Figure 10 Market By Business Function (20182023)
Figure 11 Market By Deployment Model (20182023)
Figure 12 Market By Organization Size (20182023)
Figure 13 Market By Application (20182023)
Figure 14 Market By Industry Vertical (2018 vs 2023)
Figure 15 Organizations Increasing Need to Understand Customers Behavior is Expected to Be the Major Factor Contributing to the Growth of the NLG Market
Figure 16 North America is Estimated to Have the Largest Market Share in 2018
Figure 17 Retail and Ecommerce Industry Vertical and North American Region are Estimated to Have the Largest Market Shares in 2018
Figure 18 Asia Pacific is Expected to Pose the Best Investment Opportunity During the Forecast Period
Figure 19 Natural Language Generation Market: Drivers, Restraints, Opportunities, and Challenges
Figure 20 Services Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 21 Managed Services Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 22 Training and Support Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 23 Customer Experience Management Application is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 24 Operations Segment is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 25 Cloud Deployment Model is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 26 Small and Medium-Sized Enterprises Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 27 Manufacturing Industry Vertical is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 28 Asia Pacific is Expected to Grow at the Highest CAGR in the Natural Language Generation Market During the Forecast Period
Figure 29 North America: Market Snapshot
Figure 30 Asia Pacific: Market Snapshot
Figure 31 Key Developments By the Leading Players in the Natural Language Genration Market During 20142018
Figure 32 Market Evaluation Framework
Figure 33 Arria NLG: Company Snapshot
Figure 34 AWS: Company Snapshot
Figure 35 IBM Corporation: Company Snapshot
Growth opportunities and latent adjacency in Natural Language Generation (NLG) Market