Text Analytics Market

Text Analytics Market by Component (Software, Services), Application (Customer Experience Management, Marketing Management, Governance, Risk and Compliance Management), Deployment Model, Organization Size, Industry Vertical, Region - Global Forecast to 2022

Report Code: TC 2391 May, 2017, by marketsandmarkets.com

[155 Pages Report] The overall text analytics market is expected to grow from USD 3.17 billion in 2016 to USD 8.79 billion by 2022, at a CAGR of 17.2% from 2017 to 2022. Text analytics is a tool that applies sets of statistical, linguistic, and machine learning techniques, to analyze the text data gathered from social and enterprise sources. Text analytics extracts useful information from social, online, or enterprise data, in order to create valuable insights for business, research, and investigation. The text analytics software solutions are increasing in demand among business groups to automate the identification of entities, topics, events, concepts, and personal attributes, and streamline the decision-making and business optimization process. The base year considered for the study is 2016, and the forecast has been provided for the period between 2017 and 2022.

Market Dynamics

Drivers

  • Growing Need for Social Media Analytics
  • Predictive Analytics for Businesses
  • Rise in Highly Customized and Industry-Specific Applications

Restraints

  • Lack of Awareness, Skilled Workforce, and Other Operational Challenges

Opportunities

  • Enhancing Customer Service and Competitive Intelligence
  • Rising Significance of Big Data and IoT in Analytics Market

Challenges

  • Achieving Consistency in Business Semantics and Interpretations
  • Data Privacy and Security Concerns
  • Concerns About Positive RoI

Increasing adoption of text analytics across healthcare and life sciences organizations would drive the market growth

The healthcare segment comprises organizations involved in providing medical services, pharmaceutical companies, medical equipment manufacturers, and medical transaction processing organizations. With the growing importance of data analysis in the healthcare vertical across the world, the utilization of text analytics is also increasing. This vertical generates significant volumes of data, comprising clinical, administrative, and financial data on a regular basis. Collecting massive amounts of patient data is not useful, unless that data can be quickly analyzed to make decisions that improve both the quality of care and financial outcomes of the organization. The aggregated patient data can be used to identify illnesses, improve patient safety by controlling the medications being provided to them, and enable efficient and cost-effective checks on the physician’s activities. The growth of text analytics in the healthcare industry vertical is tremendous and vendors, such as Averbis and SAS Institute, Inc. are coming up with improved solutions to integrate the semantic speech recognition in medicine. The healthcare industry vertical also comprises life sciences that uses text analytics to monitor, maintain, and analyze data.

Text Analytics Market

The following are the major objectives of the study.

  • To define, describe, and forecast the text analytics market, based on components, applications, deployment models, industry verticals, organization sizes, and regions
  • To provide detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, and challenges)
  • To strategically analyze subsegments, with respect to individual growth trends, prospects, and contribution to the total market
  • To analyze the opportunities in the market for stakeholders and provide the competitive landscape of the market
  • To forecast the revenue of market segments, with respect to all the major regions, namely, North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
  • To profile key players and comprehensively analyze their recent developments and positioning related to the text analytics market
  • To analyze competitive developments, such as mergers and acquisitions, new product developments, and Research and Development (R&D) activities in the market  

During this research study, major players operating in the text analytics market in various regions have been identified, and their offerings, regional presence, and distribution channels have been analyzed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size. Sizes of the other individual markets have been estimated using the percentage splits obtained through secondary sources such as Hoovers, Bloomberg BusinessWeek, and Factiva, along with primary respondents. The entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) pertaining to the market. The figure below shows the breakdown of the primaries on the basis of the company type, designation, and region considered during the research study.

Text Analytics Market

Note: Others includes sales managers, marketing managers, and product managers.
Note: Revenue of Tier 1 companies > USD 1 billion, Revenue of Tier 2 companies > USD 100 million, and Revenue of Tier 3 companies < USD 100 million

To know about the assumptions considered for the study, download the pdf brochure

The text analytics ecosystem comprises vendors such as SAP SE (Germany), IBM Corporation (US), SAS Institute, Inc. (US), OpenText Corporation (Canada), Clarabridge, Inc. (US), Megaputer Intelligence, Inc. (US), Luminoso Technologies, Inc. (US), MeaningCloud LLC (US), KNIME.com AG (Switzerland), Infegy, Inc. (US), Lexalytics, Inc. (US), Averbis (Germany), and Bitext Innovations S.L.(Spain). 

Major Market Developments

  • In November 2016, SAP launched SAP HANA 2, which makes use of the in-memory technology to perform text analytics. This provides text mining and the discovery of new insights from structured and unstructured data using a single platform to gain contextual insights.
  • In August 2016, SAS entered into an agreement with Teradata Corp., making Teradata a global authorized reseller of SAS data management and analytics software. The agreement allowed the companies to identify, design, and source a portfolio of SAS’ analytics, data management, Hadoop, in-database, and in-memory solutions marketed by Teradata. This helped increase SAS’ client base.
  • In July 2016, OpenText acquired Recommind, Inc., a provider of eDiscovery and information analytics. Through the acquisition, OpenText customers benefited from Recommind’s analytics solutions for eDiscovery, investigations, contract analysis, and information governance including Decisiv Search, Perceptiv, and Axcelerate.

Key Target Audience Of Text Analytics Market

  • Service providers and distributors
  • Text analytics application builders
  • Independent Software Vendors (ISVs)
  • Analytics consulting companies
  • Enterprises
  • End-users

Scope Of The Text Analytics Market Research Report

The research report categorizes the text analytics market to forecast the revenues and analyze trends in each of the following subsegments:

By component

  • Software
  • Services
    • Managed services
    • Professional services
      • Support and maintenance
      • Consulting services
      • System integration and deployment

By application

  • Customer experience management
  • Marketing management
  • Governance, risk, and compliance management
  • Document management
  • Workforce management
  • Others

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)
  • Telecommunications and Information Technology (IT)
  • Retail and eCommerce
  • Healthcare and life sciences
  • Manufacturing
  • Government and defense
  • Energy and utilities
  • Media and entertainment
  • Travel and hospitality
  • Others

By region

  • North America
  • Europe
  • APAC
  • Latin America
  • MEA

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s 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

Geographic Analysis

  • Further breakdown of the North American text analytics market
  • Further breakdown of the European text analytics market
  • Further breakdown of the APAC text analytics market
  • Further breakdown of the Latin American text analytics market
  • Further breakdown of the MEA text analytics market

Company Information

  • Detailed analysis and profiling of additional market players

The overall text analytics market is expected to grow from USD 3.97 billion in 2017 to USD 8.79 billion by 2022, at a CAGR of 17.2% from 2017 to 2022. Factors such as the emergence of multilingual text analytics to break the language barrier and increase in industry-specific text analytics applications are driving the global market.

Text analytics is a tool that applies sets of statistical, linguistic, and machine learning techniques, to analyze the text data gathered from social and enterprise sources. Text analytics extracts useful information from social, online, or enterprise data, in order to create valuable insights for business, research, and investigation. The text analytics software solutions are increasing in demand among business groups to automate the identification of entities, topics, events, concepts, and personal attributes, and streamline the decision-making and business optimization process. Nowadays, text analytics has been finding greatest use in CEM and marketing management, risk management, and fraud detection applications. Text analytics has evolved from word extraction and document categorization to sentiment analysis, along with today’s predictive analysis for CEM, market research, investigative analysis, and social listening. It uses Natural Language Processing (NLP) to structure the unstructured data and categorize it. For instance, NLP helps merge the unstructured text-based data with operational data in Voice-of-Customer (VoC) programs.

The text analytics market has been segmented, on the basis of component, application, deployment model, organization size, industry vertical, and region. The demand for text analytics software is rising on account of growing prevalence of social media content toward improving customer experience and building effective marketing campaigns. Among applications, customer experience management is expected to continue its dominance during the forecast period. The use of text analytics solutions is increasing among businesses to gain better insights into customer demands and product feedbacks and offer better services. The cloud deployment model is expected to exhibit a higher adoption, compared to the on-premises deployment model. The demand for cloud-driven Application Programming Interfaces (APIs) is rising among customers, which in turn is supporting the growth of cloud-based deployment models. The retail and eCommerce segment, followed by the Banking, Financial Services, and Insurance (BFSI) segment, is expected to constitute the largest market share and continue to lead the market during the forecast period. 

In 2017, North America is expected to dominate the text analytics market with largest market size. This trend is expected to continue throughout the forecast period. The text analytics market is revealing a strong positive trend in this region owing to the easy availability of text analytics solutions. Various companies and industries are adopting text analytics software and services to create business models that support real-time decision making and improve productivity. The APAC region is expected to exhibit the highest growth rate. This growth can be attributed to growing awareness, surge in data, and increasing demand for real-time analytics. 

Text Analytics Market

Text Analytics applications in retail and eCommerce, BFSI, healthcare and life sciences and media and entertainment drive the market growth

Retail and eCommerce

Organizations in the eCommerce arena get to collect tremendous customer data, with constant additions every day. The data is collected through social media in the form of comments, posts, or blogs, which prove to be helpful in demand forecasting, customer segmentation, and profitability analysis. The retail and eCommerce industry has shown a significant adoption rate of text analytics solutions. Text analytics applications in the retail and eCommerce vertical are majorly focused on marketing and CEM, which include analysis of brand reputation, purchase behavior, summarization of surveys and reviews, churn analysis, and developing selling and promotion strategies.

BFSI

Text analytics has various applications in the BFSI vertical, which include forecasting, fraud detection, and CEM. By leveraging the customer data analysis, text analytics solutions assist organizations to establish a long-term relationship with their customers. Furthermore, text analytics helps in better tracking the insurance claim pattern and monitoring fraudulent activities, and also in carrying out risk assessments. The BFSI industry vertical is prone to risks and frauds, and is constantly searching for a new solution to mitigate frauds in securing financial transactions for the customers.

Healthcare and life sciences

With the growing importance of data analysis in the healthcare vertical across the world, the utilization of text analytics is also increasing The aggregated patient data can be used to identify illnesses, improve patient safety by controlling the medications being provided to them, and enable efficient and cost-effective checks on the physician’s activities. The growth of text analytics in the healthcare industry vertical is tremendous and vendors, such as Averbis and SAS Institute, Inc. are coming up with improved solutions to integrate the semantic speech recognition in medicine. The healthcare industry vertical also comprises life sciences that uses text analytics to monitor, maintain, and analyze data.

Media and entertainment

With text analytics, marketers can analyze customer data and predict the needs of the audience. Applications and mobile websites offering news, images, articles, and audio and video content, either self-branded or sourced from providers and publishers are the key segments of this industry vertical. By incorporating text analytics solutions, the historical data can be culled from relevant concepts, entities, sentiments, and relationships, to produce a rich tagging system and these entities can be kept as metadata about the articles and used when needed. This helps organizations in the media industry to improve the user engagement and increase the potential for generating advertising revenues.

Critical questions the report answers:

  • Where will all these developments take the industry in the mid to long term?
  • What are the upcoming industry applications for text analytics?

Creating awareness among the end-users on how text analytics can turn large chunks of data into valuable information is directly responsible for increasing the overall adoption of text analytics. Limited text analytics software vendors have their presence in the market, offering text analytics solutions to analyze big data due to its complexities. With the advancement in technologies, software nowadays offers big data analytics and allows real-time analysis with a user-friendly interface. Text-based content still constitutes to a major chunk of information available within as well as outside the organizational boundaries. Text analytics, combined with big data, would assist organizations to analyze the vital information essential to an organization’s decision-making abilities, which may have remained unexplored until now.

The text analytics ecosystem comprises vendors such as SAP SE (Germany), IBM Corporation (US), SAS Institute, Inc. (US), OpenText Corporation (Canada), Clarabridge, Inc. (US), Megaputer Intelligence, Inc. (US), Luminoso Technologies, Inc. (US), MeaningCloud LLC (US), KNIME.com AG (Switzerland), Infegy, Inc. (US), Lexalytics, Inc. (US), Averbis (Germany), and Bitext Innovations S.L.(Spain). 

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Table of Contents

1 Introduction (Page No. - 15)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
    1.4 Years Considered for the Study
    1.5 Currency
    1.6 Stakeholders

2 Research Methodology (Page No. - 19)
    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
    2.3 Microquadrant Description
    2.4 Research Assumptions
    2.5 Limitations

3 Executive Summary (Page No. - 27)

4 Premium Insights (Page No. - 32)
    4.1 Attractive Opportunities in the Text Analytics Market
    4.2 Market Share, By Region
    4.3 Market By Industry Vertical and Region
    4.4 Life Cycle Analysis, By Region, 2017

5 Text Analytics Market Overview and Industry Trends (Page No. - 36)
    5.1 Market Overview
           5.1.1 Introduction
           5.1.2 Market Dynamics
                    5.1.2.1 Drivers
                               5.1.2.1.1 Growing Need for Social Media Analytics
                               5.1.2.1.2 Predictive Analytics for Businesses
                               5.1.2.1.3 Rise in Highly Customized and Industry-Specific Applications
                    5.1.2.2 Restraints
                               5.1.2.2.1 Lack of Awareness, Skilled Workforce, and Other Operational Challenges
                    5.1.2.3 Opportunities
                               5.1.2.3.1 Enhancing Customer Service and Competitive Intelligence
                               5.1.2.3.2 Rising Significance of Big Data and IoT in Analytics Market
                    5.1.2.4 Challenges
                               5.1.2.4.1 Achieving Consistency in Business Semantics and Interpretations
                               5.1.2.4.2 Data Privacy and Security Concerns
                               5.1.2.4.3 Concerns About Positive RoI
    5.2 Industry Trends
           5.2.1 Introduction
           5.2.2 Text Analytics Use Cases
                    5.2.2.1 Introduction
                    5.2.2.2 Use Case 1: Luminoso Technologies, Inc (Retail)
                    5.2.2.3 Use Case 2: Lexalytics, Inc. (Hospitality)
                    5.2.2.4 Use Case 3: Meaningcloud LLC. (BFSI)
           5.2.3 Text Analytics Architecture
           5.2.4 Technologies in Text Analytics
                    5.2.4.1 Big Data
                    5.2.4.2 Natural Language Processing
                    5.2.4.3 Artificial Intelligence

6 Text Analytics Market Analysis, By Component (Page No. - 45)
    6.1 Introduction
    6.2 Software
    6.3 Services
           6.3.1 Managed Services
           6.3.2 Professional Services
                    6.3.2.1 Support and Maintenance
                    6.3.2.2 Consulting Services
                    6.3.2.3 System Integration and Deployment

7 Text Analytics Market Analysis, By Application (Page No. - 54)
    7.1 Introduction
    7.2 Customer Experience Management
    7.3 Marketing Management
    7.4 Governance, Risk, and Compliance Management
    7.5 Document Management
    7.6 Workforce Management
    7.7 Others

8 Text Analytics Market Analysis, By Deployment Model (Page No. - 61)
    8.1 Introduction
    8.2 On-Premises
    8.3 Cloud

9 Market Analysis, By Organization Size (Page No. - 65)
    9.1 Introduction
    9.2 Small and Medium-Sized Enterprises
    9.3 Large Enterprises

10 Text Analytics Market Analysis, By Industry Vertical (Page No. - 69)
     10.1 Introduction
     10.2 Banking, Financial Services, and Insurance
     10.3 Retail and Ecommerce
     10.4 Government and Defense
     10.5 Healthcare and Life Sciences
     10.6 Manufacturing
     10.7 Telecommunications and Information Technology
     10.8 Energy and Utilities
     10.9 Media and Entertainment
     10.10 Travel and Hospitality
     10.11 Others

11 Text Analytics Market Geographic Analysis (Page No. - 79)
     11.1 Introduction
     11.2 North America
     11.3 Europe
     11.4 Asia Pacific
     11.5 Middle East and Africa
     11.6 Latin America

12 Text Analytics Market Competitive Landscape (Page No. - 100)
     12.1 Introduction
             12.1.1 Vanguards
             12.1.2 Innovators
             12.1.3 Dynamic
             12.1.4 Emerging
     12.2 Microquadrant
     12.3 Competitive Benchmarking

13 Company Profiles (Page No. - 104)
(Business Overview, Product Offering and Business Strategy, Recent Developments, MnM View)*
     13.1 SAP SE
     13.2 International Business Machines Corporation
     13.3 SAS Institute, Inc.
     13.4 Opentext Corporation
     13.5 Clarabridge, Inc.
     13.6 Bitext Innovations S.L.
     13.7 Lexalytics, Inc.
     13.8 Megaputer Intelligence, Inc.
     13.9 Luminoso Technologies, Inc.
     13.10 Knime.Com AG
     13.11 Infegy, Inc.
     13.12 Averbis
     13.13 Meaningcloud LLC

*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.

14 Appendix (Page No. - 146)
     14.1 Key Insights of Industry Experts
     14.2 Discussion Guide
     14.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     14.4 Introducing RT: Real-Time Market Intelligence
     14.5 Available Customizations
     14.6 Related Reports
     14.7 Author Details


List of Tables (71 Tables)

Table 1 United States Dollar Exchange Rate, 2014–2016
Table 2 Text Analytics Market Size and Growth, 2015–2022 (USD Billion, Y-O-Y %)
Table 3 Market Size, By Component, 2015–2022 (USD Million)
Table 4 Software: Market Size, By Region, 2015-2022 (USD Million)
Table 5 Services: Market Size, By Service, 2015-2022 (USD Million)
Table 6 Services: Text Analytics Market Size, By Region, 2015-2022 (USD Million)
Table 7 Managed Services: Market Size, By Region, 2015-2022 (USD Million)
Table 8 Professional Services: Market Size, By Region, 2015-2022 (USD Million)
Table 9 Support and Maintenance: Market Size, By Region, 2015-2022 (USD Million)
Table 10 Consulting Services: Market Size, By Region, 2015-2022 (USD Million)
Table 11 System Integration and Deployment: Market Size, By Region, 2015-2022 (USD Million)
Table 12 Text Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 13 Customer Experience Management: Market Size, By Region, 2015–2022 (USD Million)
Table 14 Marketing Management: Market Size, By Region, 2015–2022 (USD Million)
Table 15 Governance, Risk, and Compliance Management: Market Size, By Region, 2015–2022 (USD Million)
Table 16 Document Management: Market Size, By Region, 2015–2022 (USD Million)
Table 17 Workforce Management: Market Size, By Region, 2015–2022 (USD Million)
Table 18 Others: Market Size, By Region, 2015–2022 (USD Million)
Table 19 Text Analytics Market Size, By Deployment Model, 2015-2022 (USD Million)
Table 20 On-Premises: Market Size, By Region, 2015-2022 (USD Million)
Table 21 Cloud: Market Size, By Region, 2015-2022 (USD Million)
Table 22 Text Analytics Market Size, By Organization Size, 2015-2022 (USD Million)
Table 23 Small and Medium-Sized Enterprises: Market Size, By Region, 2015-2022 (USD Million)
Table 24 Large Enterprises: Market Size, By Region, 2015-2022 (USD Million)
Table 25 Text Analytics Market Size, By Vertical, 2015–2022 (USD Million)
Table 26 Banking, Financial Services, and Insurance: Market Size, By Region, 2015–2022 (USD Million)
Table 27 Retail and Ecommerce: Market Size, By Region, 2015–2022 (USD Million)
Table 28 Government and Defense: Market Size, By Region, 2015–2022 (USD Million)
Table 29 Healthcare and Life Sciences: Market Size, By Region, 2015–2022 (USD Million)
Table 30 Manufacturing: Market Size, By Region, 2015–2022 (USD Million)
Table 31 Telecommunications and It: Text Analytics Market Size, By Region, 2015–2022 (USD Million)
Table 32 Energy and Utilities: Market Size, By Region, 2015–2022 (USD Million)
Table 33 Media and Entertainment: Market Size, By Region, 2015–2022 (USD Million)
Table 34 Travel and Hospitality: Market Size, By Region, 2015–2022 (USD Million)
Table 35 Others: Market Size, By Region, 2015–2022 (USD Million)
Table 36 Text Analytics Market Size, By Region, 2015–2022 (USD Million)
Table 37 North America: Market Size, By Component, 2015–2022 (USD Million)
Table 38 North America: Market Size, By Service, 2015–2022 (USD Million)
Table 39 North America: Market Size, By Professional Service, 2015–2022 (USD Million)
Table 40 North America: Text Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 41 North America: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 42 North America: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 43 North America: Market Size, By Industry Vertical, 2015–2022 (USD Million)
Table 44 Europe: Text Analytics Market Size, By Component, 2015–2022 (USD Million)
Table 45 Europe: Market Size, By Service, 2015–2022 (USD Million)
Table 46 Europe: Market Size, By Professional Service, 2015–2022 (USD Million)
Table 47 Europe: Market Size, By Application, 2015–2022 (USD Million)
Table 48 Europe: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 49 Europe: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 50 Europe: Market Size, By Industry Vertical, 2015–2022 (USD Million)
Table 51 Asia Pacific: Text Analytics Market Size, By Component, 2015–2022 (USD Million)
Table 52 Asia Pacific: Market Size, By Service, 2015–2022 (USD Million)
Table 53 Asia Pacific: Market Size, By Professional Service, 2015–2022 (USD Million)
Table 54 Asia Pacific: Market Size, By Application, 2015–2022 (USD Million)
Table 55 Asia Pacific: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 56 Asia Pacific: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 57 Asia Pacific: Market Size, By Industry Vertical, 2015–2022 (USD Million)
Table 58 Middle East and Africa: Text Analytics Market Size, By Component, 2015–2022 (USD Million)
Table 59 Middle East and Africa: Market Size, By Service, 2015–2022 (USD Million)
Table 60 Middle East and Africa: Market Size, By Professional Service, 2015–2022 (USD Million)
Table 61 Middle East and Africa: Market Size, By Application, 2015–2022 (USD Million)
Table 62 Middle East and Africa: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 63 Middle East and Africa: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 64 Middle East and Africa: Market Size, By Industry Vertical, 2015–2022 (USD Million)
Table 65 Latin America: Text Analytics Market Size, By Component, 2015–2022 (USD Million)
Table 66 Latin America: Market Size, By Service, 2015–2022 (USD Million)
Table 67 Latin America: Market Size, By Professional Service, 2015–2022 (USD Million)
Table 68 Latin America: Market Size, By Application, 2015–2022 (USD Million)
Table 69 Latin America: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 70 Latin America: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 71 Latin America: Text Analytics Market Size, By Industry Vertical, 2015–2022 (USD Million)
 
 
List of Figures (65 Figures)
 
Figure 1 Text Analytics Market: Market Segmentation
Figure 2 Regional Scope
Figure 3 Text Analytics Market: Research Design
Figure 4 Breakdown of Primary Interviews: By Company, Designation, and Region
Figure 5 Data Triangulation
Figure 6 Market Size Estimation Methodology: Bottom-Up Approach
Figure 7 Market Size Estimation Methodology: Top-Down Approach
Figure 8 Evaluation Criteria
Figure 9 Text Analytics Market: Assumptions
Figure 10 Market is Expected to Show a Significant Growth During the Forecast Period
Figure 11 Market Snapshot, By Component (2017 vs 2022)
Figure 12 Market Snapshot, By Service (2017–2022)
Figure 13 Text Analytics Market Snapshot, By Professional Service (2017–2022)
Figure 14 Market Snapshot, By Organization Size (2017 vs 2022)
Figure 15 Market Snapshot, By Application (2017)
Figure 16 Market Snapshot, By Deployment Model (2017–2022)
Figure 17 Market Snapshot, By Industry Vertical (2017 - 2022)
Figure 18 Text Analytics Market is Driven By Emergence of Multilingual Text Analytics to Break the Language Barrier, as Well As, Increase in Industry-Specific Text Analytics Applications
Figure 19 North America is Expected to Have the Largest Market Share During the Forecast Period
Figure 20 Retail and Ecommerce Vertical, and North America are Expected to Have the Largest Market Size in 2017
Figure 21 Asia Pacific to Have an Exponential Growth During the Forecast Period
Figure 22 Text Analytics Market: Drivers, Restraints, Opportunities, and Challenges
Figure 23 Text Analytics Architecture
Figure 24 Services Component is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 25 Managed Services Segment is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 26 Consulting Services Segment is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 27 Governance, Risk, and Compliance Management Application is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 28 Cloud-Based Deployment Model is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 29 Small and Medium-Sized Enterprise Segment is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 30 Healthcare and Life Sciences Industry Vertical is Projected to Grow at the Highest CAGR During the Forecast Period
Figure 31 Regional Snapshot: Asia Pacific is Estimated to Have the Highest CAGR in the Text Analytics Market
Figure 32 North America: Market Snapshot
Figure 33 Asia Pacific: Market Snapshot
Figure 34 Product Offerings (For All 25 Players)
Figure 35 Business Strategies (For All 25 Players)
Figure 36 SAP SE: Company Snapshot
Figure 37 SAP SE: Product Offering Scorecard
Figure 38 SAP SE: Business Strategy Scorecard
Figure 39 International Business Machines Corporation: Company Snapshot
Figure 40 International Business Machines Corporation: Product Offering Scorecard
Figure 41 International Business Machines Corporation: Business Strategy Scorecard
Figure 42 SAS Institute, Inc.: Company Snapshot
Figure 43 SAS Institute, Inc.: Product Offering Scorecard
Figure 44 SAS Institute, Inc.: Business Strategy Scorecard
Figure 45 Opentext Corporation: Company Snapshot
Figure 46 Opentext Corporation: Product Offering Scorecard
Figure 47 Opentext Corporation: Business Strategy Scorecard
Figure 48 Clarabridge, Inc.: Product Offering Scorecard
Figure 49 Clarabridge, Inc.: Business Strategy Scorecard
Figure 50 Bitext Innovations S.L.: Product Offering Scorecard
Figure 51 Bitext Innovations S.L.: Business Strategy Scorecard
Figure 52 Lexalytics, Inc.: Product Offering Scorecard
Figure 53 Lexalytics, Inc.: Business Strategy Scorecard
Figure 54 Megaputer Intelligence, Inc.: Product Offering Scorecard
Figure 55 Megaputer Intelligence, Inc.: Business Strategy Scorecard
Figure 56 Luminoso Technologies, Inc.: Product Offering Scorecard
Figure 57 Luminoso Technologies, Inc.: Business Strategy Scorecard
Figure 58 Knime.Com AG: Product Offering Scorecard
Figure 59 Knime.Com AG: Business Strategy Scorecard
Figure 60 Infegy, Inc.: Product Offering Scorecard
Figure 61 Infegy, Inc.: Business Strategy Scorecard
Figure 62 Averbis: Product Offering Scorecard
Figure 63 Averbis: Business Strategy Scorecard
Figure 64 Meaningcloud LLC: Product Offering Scorecard
Figure 65 Meaningcloud LLC: Business Strategy Scorecard


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TC 2391
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