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Text analytics is an emerging technology that is very popular amongst various industries such as FMCG’s, BFSI, Telecom, Healthcare, etc. Text analytics software, provides companies with a means of understanding their customers better, helping them determine customer’s demands and purchasing patterns, by analyzing the data generated from various sources. The growing popularity of text analytics technology is attributed by the rising acceptance of social media platforms and a growing inclination towards cloud technology for data storage. There is a global shift amongst companies to adopt cloud technology. The ability to curb fraud, manage risk and plan effective marketing campaigns, are some of the major factors that drive the global text analytics applications segment. As substantial data is generated through different sources, the adoption of cloud technology. empowers companies to analyze the data and forecast profitable outcomes of the same. The ability of text analytics, to analyze data in real time, has influenced its adoption in various businesses; therefore, text analysis is gaining prominence as a futuristic technology that could redefine business processes. Additionally, emerging economies possess a huge potential for the expansion of the text analytics market, especially, in the Asia-Pacific region.

The text analytics field is evolving as humongous amount of data is being generated from various sources such as social web sites, emails, conversations, audios, documents, tweets, web blogs, forums, etc. The key feature that makes this market attractive is the ability of text analytics to analyze the sentiments hidden in the text. Text analytics is being used in various sectors such as FMCG, Telecommunications, Government, Retail, Healthcare and Pharmaceutical Banking Financial Services and Insurance, etc. Increasing adoption of cloud computing technologies and use of social sites as communication platforms are major factors that are enhancing the growth of text analytics market.

Segment Overview:

The global text analytics market is segmented based on the deployment model, technologies involved, applications and geography. The deployment model segment is segmented into two different models such as on-premise model and cloud based model. In-spite of on-premise model being expensive, it is being opted by various government organizations instead of cloud based model due to the security concerns in the cloud technology. Additionally, Cloud based model would be the largest revenue generating segment that is contributing to the growth of deployment model segment in global text analytics market.

Technology segment consists of big data analytics, predictive analytics, text clustering and web mining. Web mining segment is expected to grow at its faster pace as it provides leisure of analyzing the real time data which is on internet. Text clustering provides ease of text analysis on the similar types of data that decrease the time required for analysis, which is driving the growth for technology market.

Text analytics is emerging market, which is being used in various application that are used in various sectors such as Retail, Healthcare and Pharmaceutical, FMCG, Telecommunications, Banking Financial Services and Insurance and Government. According to geography, North America is the largest revenue generating region amongst all.

Top factors impacting global text analytics market

 

Cloud is gaining traction in text analytics

Cloud is an umbrella term for large number of online services. It is very attractive technology amongst all the small and medium scale businesses (SMBs), which provides cost effective and lower risks solutions. Cloud allows real time analysis of the big data to retrieve meaningful information from the data, which is virtually stored in the data warehouses, which ultimately reduces the cost of storage. Also, as cloud allows the analysis from anywhere and anytime, it is gaining traction in text analytics. Currently, big data analytics through cloud is very the hottest trend in the global market. Companies believe that they don’t have the in-house skills to aggregate and analyze the unstructured data due to which they are turning towards Software as a Service (SaaS) platform. The SaaS solutions are in fact the fastest growing delivery models for the text analytics.

Low awareness as text analytics is the emerging technology

Text analytics is the emerging technology in the analytics field. As per the study done of the different geographies, LAMEA regions have low awareness about the technology and its benefits. Also, in emerging countries, due to their low economies, customers are unaware about the text analytics and its benefits in analyzing users and their behaviors. People in the technologically advanced regions such as North America use the analytical tools to improve their services. Hence, the overall usage of text analytics tools and awareness about the text analytics technology is limited. The lack of awareness about the text analytics technology is restricting the growth of global text analytics market. Therefore, such factors are negatively impacting the text analytic market.

High Cost text analytics software

The tools used for analytics purposes are very costly. Its cost depends on the version and the category of the analysis. Its price ranges from $500-$3500. The tools designed for the analysis purpose are developed from detailed analysis of homogenously generated data due to which the software is expensive. Emerging markets such as India, China, and Japan do not use such expensive tools for the analysis purpose due to their low economies. Also, the government institutions do not use the analytical tools due to its high cost. This limits the growth of text analytics market, which in turn negatively affects the global text analytics market.

Key Benefits

  • The study provides an in-depth analysis of the global text analytics market with current and future trends to elucidate the imminent investment pockets in the market
  • Current and future trends are outlined to determine the overall attractiveness and single out profitable trends to gain a stronger foothold in the market
  • Quantitative analysis of the current market and estimations through 2013-2020 are provided to showcase the financial caliber of the market
  • Drivers and opportunities are evaluated to highlight the top factors responsible for market growth. Various segments are carefully evaluated to gauge the potential of the market
  • Porters Five Forces model and SWOT analysis of the industry illustrates the potency of the buyers & suppliers participating in the market  
  • Value chain analysis in the report gives a clear understating of the roles of stakeholder involved in the value chain

TEXT ANALYTICS MARKET KEY SEGMENTS

The market for global text analytics is segmented as:

Text Analytics Market - By Deployment Model

  • On-premise model
  • Cloud based model

Text Analytics Market - By Application

  • Competitive Intelligence
  • Customer Relationship management
  • Predictive Analytics
  • Fraud detection
  • Brand Reputation

Text Analytics Market - By End User

  • Fast Moving Consumer Goods (FMCG)
  • Banking Financial Services and Insurance (BFSI)
  • Healthcare and Pharmaceuticals
  • Telecommunication
  • Government
  • Retail

Text Analytics Market - By Geography

  • North America
  • Europe
  • Asia Pacific
  • LAMEA
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Title/ Chapter Name

Chapter: 1 INTRODUCTION

1.1 Report Description
1.2 Key Benefits
1.3 Key Segments

Chapter: 2 EXECUTIVE SUMMARY

2.1 CXO perspective and Executive summary
2.2 Market Beyond: what to expect by 2025

2.2.1 Moderate growth plot
2.2.2 Rapid growth plot
2.2.3 Diminishing growth plot

Chapter: 3 MARKET OVERVIEW

3.1 Definition and Scope
3.2 Big Data Analytics

3.2.1 Predictive Analytics
3.2.2 Text Clustering

3.2.2.1 Benefits of Text clustering

3.3 Key Findings

3.3.1 Top Factors Impacting Global Text Analytics Market
3.3.2 Top Investment Pockets
3.3.3 Top Wining Strategies

3.4 Porters Five Force Analysis

3.4.1 Differentiated product leads to high bargaining power of suppliers
3.4.2 High cost of switching leads to low bargaining power of buyer 
3.4.3 High switching costs lowers the threat of substitute
3.4.4 Well known brands of suppliers reduce the threat of new entrants in the industry
3.4.5 Limited number of suppliers and brand loyalty amongst buyers lead to moderate competitive rivalry in the market.

3.5 Key Technology Trends

3.5.1 Analysis becomes pervasive
3.5.2 Text analytics is been adopted on mobile devices
3.5.3 Analyzing structured and unstructured data together is being popular in the market
3.5.4 Cloud is the most popular technology for text analytics

3.6 Value chain analysis

3.6.1 Data Origin
3.6.2 Data Classification and Storage
3.6.3 Analytics
3.6.4 Consumer

3.7 Market Share analysis, 2013
3.8 Case Studies

3.8.1 Customer Analytics for telecom operator
3.8.2 GE Consumer & industrial Services Division

3.9 Market Dynamics

3.9.1 Drivers

3.9.1.1 Rising Adoption Of social media analytics
3.9.1.2 Relation Between Text and big data
3.9.1.3 Increasing Adoption of cloud Computing technology
3.9.1.4 Ability to deal with large volume of data
3.9.1.5 Text analysis moves beyond sentiment analysis

3.9.2 Restraints

3.9.2.1 Lack of awareness
3.9.2.2 High software cost
3.9.2.3 Misuse of information

3.9.3 Opportunities

3.9.3.1 Linguistic Analysis Approach
3.9.3.2 Big Data Analytics

Chapter: 4 GLOBAL TEXT ANALYTICS MARKET BY DEPLOYEMENT MODELS

4.1 On-Premise Model

4.1.1 Key market Trends
4.1.2 Competitive Scenario
4.1.3 Key growth factors and opportunities
4.1.4 Market Size and forecast.

4.2 Cloud Based Model

4.2.1 Key market Trends
4.2.2 Competitive Scenario
4.2.3 Key growth factors and opportunities
4.2.4 Market Size and forecast.

Chapter: 5 GLOBAL TEXT ANALYTICS MARKET BY APPLICATIONS

5.1 Competitive intelligence

5.1.1 Market size and forecast

5.2 Customer relationship management (CRM)

5.2.1 Market size and forecast

5.3 Predictive analytics

5.3.1 Market size and forecast

5.4 Fraud detection

5.4.1 Market size and forecast

5.5 Brand reputation

5.5.1 Market size and forecast

Chapter: 6 GLOBAL TEXT ANALYTICS MARKET BY END USER

6.1 Fast Moving Consumer Goods (FMCG)

6.1.1 Market size and forecast

6.2 Banking Financial Services and Insurance (BFSI)

6.2.1 Market size and forecast

6.3 Healthcare and Pharmaceuticals

6.3.1 Market size and forecast

6.4 Telecom

6.4.1 Market size and forecast

6.5 Government

6.5.1 Market size and forecast

6.6 Retail

6.6.1 Market size and forecast

Chapter: 7 GLOBAL TEXT ANALYTICS MARKETS BY GEOGRAPHY

7.1 North America

7.1.1 Key Market Trends
7.1.2 Competitive Scenario
7.1.3 Key growth factors and opportunities
7.1.4 Market size and forecast

7.2 Europe

7.2.1 Key Market Trends
7.2.2 Competitive Scenario
7.2.3 Key growth factors and opportunities
7.2.4 Market size and forecast

7.3 Asia-Pacific

7.3.1 Key Market Trends
7.3.2 Competitive Scenario
7.3.3 Key growth factors and opportunities
7.3.4 Market size and forecast

7.4 Latin America, Middle East and Africa (LAMEA)

7.4.1 Key Market Trends
7.4.2 Competitive Scenario
7.4.3 Key growth factors and opportunities
7.4.4 Market size and forecast

Chapter: 8 COMPANY PROFILES

8.1 INTERNATIONAL BUSINESS MACHINE (IBM)

8.1.1 Company overview
8.1.2 Company Snapshot
8.1.3 Business Performance
8.1.4 Strategic Moves and Developments
8.1.5 SWOT Analysis and Strategic Conclusion Of IBM

8.2 HEWLETT PACKARD (HP)

8.2.1 Company Overview
8.2.2 Company Snapshot
8.2.3 Business performance
8.2.4 Strategic moves and developments

8.2.4.1 RIMARY STRATEGY:ACQUISITION
8.2.4.2 SECONDARY STRATEGY: pRODUCT lAUNCH

8.2.5 Swot analysis and strategic conclusion of HP

8.3 MICROSOFT CORPORATION

8.3.1 Company Overview
8.3.2 Company snapshot
8.3.3 Business performance
8.3.4 SWOT analysis and Strategic Conclusion Of Microsoft

8.4 Attensity Inc.

8.4.1 Company Overview
8.4.2 Company snapshot:
8.4.3 Key Strategies

8.4.3.1 Primary Strategies: Partnership
8.4.3.2 Secondary Strategirs:Product Launch

8.4.4 SWOT analysis and strategic conclusion of Attensity

8.5 Clarabridge

8.5.1 Company Overview
8.5.2 Company snapshot
8.5.3 Strategic moves and development

8.5.3.1 Primary Strategy:Acquisition
8.5.3.2 secondary strategy:Product Launch

8.5.4 SWOT analysis and Strategic Conclusion of Clarabridge

8.6 Statistical Analysis System (SAS)

8.6.1 Company Overview
8.6.2 Company snapshot
8.6.3 Business performance
8.6.4 Strategic moves and development
8.6.5 SWOT analysis and Strategic Conclusion Of SAS

8.7 SAP

8.7.1 Company Overview
8.7.2 Company snapshot
8.7.3 Business performance
8.7.4 Strategic moves and development

8.7.4.1 primary strategy: acquisition
8.7.4.2 secondary strategy: Partnership

8.7.5 SWOT analysis and Strategic Conclusion of SAP

8.8 Tibco Software

8.8.1 Company Overview
8.8.2 Company snapshot
8.8.3 Business performance
8.8.4 Strategic moves and development

8.8.4.1 primary strategies: Acquisition
8.8.4.2 secondary strategies: Partnership

8.8.5 SWOT analysis and Strategic Conclusion Of Tibco

8.9 Tableau Software

8.9.1 Company Overview
8.9.2 Company snapshot
8.9.3 Business performance
8.9.4 Strategic moves and development

8.9.4.1 primary strategies: Partnerhsip
8.9.4.2 secondary strategies: Collaboration

8.9.5 SWOT analysis and Strategic Conclusion Of Tableau

8.10 Oracle

8.10.1 Company Overview
8.10.2 Company snapshot
8.10.3 Business performance
8.10.4 Strategic moves and development
8.10.5 SWOT analysis and Strategic Conclusion Of Oracle

LIST OF TABLES

TABLE 1  GLOBAL TEXT ANALTYICS MARKET REVENUE BY GEOGRAPHY, 2013-2020 ($ MILLION) 
TABLE 2  GLOBAL TEXT ANALYTICS MARKET REVENUE MODERATE GROWTH SCENARIO, 2020 – 2025 ($MILLION) 
TABLE 3  GLOBAL TEXT ANALYTICS MARKET REVENUE RAPID GROWTH SCENARIO, 2020 – 2025 ($MILLION) 
TABLE 4  GLOBAL TEXT ANALYTICS MARKET REVENUE DIMINISHING GROWTH SCENARIO, 2020 – 2025 ($MILLION) 
TABLE 5  GLOBAL TEXT ANALYTICS MARKET REVENUE BY DEPLOYMENT MODEL, 2013–2020 ($MILLION) 
TABLE 6  ADVANTAGES OF ON-PREMISES MODEL OVER CLOUD BASED MODEL 
TABLE 7  GLOBAL ON-PREMISE TEXT ANALYTICS MARKET REVENUE BY GEOGRAPHY, 2013–2020 ($MILLION) 
TABLE 8  GLOBAL CLOUD BASED TEXT ANALYTICS MARKET REVENUE BY GEOGRAPHY, 2013–2020 ($MILLION) 
TABLE 9  GLOBAL TEXT ANALYTICS MARKET REVENUE BY APPLICATION, 2013–2020 ($MILLION) 
TABLE 10  GLOBAL COMPETITIVE INTELLIGENCE TEXT ANALYTICS MARKET REVENUE BY GEOGRAPHY, 2013–2020 ($MILLION) 
TABLE 11  GLOBAL CUSTOMER RELATIONSHIP MANAGEMENT TEXT ANALYTICS MARKET REVENUE BY GEOGRAPHY, 2013–2020 ($MILLION) 
TABLE 12  GLOBAL PREDICTIVE TEXT ANALYTICS MARKET REVENUE BY GEOGRAPHY, 2013–2020 ($MILLION) 
TABLE 13  GLOBAL FRAUD DETECTION TEXT ANALYTICS MARKET REVENUE BY GEOGRAPHY, 2013–2020 ($MILLION)
TABLE 14  GLOBAL BRAND REPUTATION TEXT ANALYTICS MARKET REVENUE BY GEOGRAPHY, 2013–2020 ($MILLION) 
TABLE 15  GLOBAL TEXT ANALYTICS MARKET REVENUE BY END USER, 2013–2020 ($MILLION) 
TABLE 16  GLOBAL FAST MOVING CONSUMER GOODS (FMCG) TEXT ANALYTICS MARKET REVENUE BY GEOGRAPHY, 2013–2020 ($MILLION) 66
TABLE 17  GLOBAL BANKING FINANCIAL SERVICES AND INSURANCE (BFSI) TEXT ANALYTICS MARKET REVENUE BY GEOGRAPHY, 2013–2020 ($MILLION) 
TABLE 18  GLOBAL HEALTHCARE AND PHARMACEUTICALS TEXT ANALYTICS MARKET REVENUE BY GEOGRAPHY, 2013–2020 ($MILLION) 
TABLE 19  GLOBAL TELECOM TEXT ANALYTICS MARKET REVENUE BY GEOGRAPHY, 2013–2020 ($MILLION) 
TABLE 20  GLOBAL GOVERNMENT TEXT ANALYTICS MARKET REVENUE BY GEOGRAPHY, 2013–2020 ($MILLION) 
TABLE 21  GLOBAL RETAIL TEXT ANALYTICS MARKET REVENUE BY GEOGRAPHY, 2013–2020 ($MILLION) 
TABLE 22  NORTH AMERICAN TEXT ANALYTICS MARKET REVENUE BY END USER, 2013–2020 ($MILLION) 
TABLE 23  EUROPEAN TEXT ANALYTICS MARKET REVENUE BY END USER, 2013–2020 ($MILLION) 
TABLE 24  ASIA PACIFIC TEXT ANALYTICS MARKET REVENUE BY END USER, 2013–2020 ($MILLION) 
TABLE 25  LAMEA TEXT ANALYTICS MARKET REVENUE BY END USER, 2013–2020 ($MILLION) 

LIST OF FIGURES

FIG. 1  TOP IMPACTING FACTORS, MODERATE GROWTH SCENARIO(2020 - 2025) 
FIG. 2  TOP IMPACTING FACTORS, RAPID GROWTH SCENARIO (2020 - 2025) 
FIG. 3  TOP IMPACTING FACTORS, DIMINISHING GROWTH SCENARIO (2020 - 2025) 
FIG. 4  TOP IMPACTING FACTORS 
FIG. 5  TOP INVESTMENT POCKETS 
FIG. 6  TOP WINNING STRATEGIES 
FIG. 7  TOP WINING STRATEGIES 
FIG. 8  PORTERS FIVE FORCES ANALYSIS 
FIG. 9  VALUE CHAIN ANALYSIS 
FIG. 10  MARKET SHARE ANALYSIS OF TEXT ANALYTICS MARKET (2013) 
FIG. 11  KEY FINANCIALS OF IBM REVENUE BY PRODUCTS AND SERVICES 
FIG. 12  SWOT ANALYSIS OF IBM 
FIG. 13  KEY FINANCIALS OF HP REVENUE BY PRODUCTS AND SERVICES 
FIG. 14  SWOT ANALYSIS OF HP CORPORATION 
FIG. 15  KEY FINANCIALS OF MICROSOFT REVENUE, 2011-2013, $MILLION 
FIG. 16  SWOT ANALYSIS OF MICROSOFT 
FIG. 17  SWOT ANALYSIS OF ATTENSITY 
FIG. 18  SWOT ANALYSIS OF CLARABRIDGE 
FIG. 19  KEY FINANCIALS OF SAS REVENUE PERCENTAGE BY REGIONS 
FIG. 20  KEY FINANCIALS OF SAS REVENUE PERCENTAGE BY INDUSTRIES 
FIG. 21  SWOT ANALYSIS OF SAS 
FIG. 22  KEY FINANCIALS OF SAP REVENUE PERCENTAGE BY REGIONS 
FIG. 23  KEY FINANCIALS OF SAP REVENUE PERCENTAGE BY INDUSTRIES 
FIG. 24  SWOT ANALYSIS OF SAP 
FIG. 25  KEY FINANCIALS OF TIBCO REVENUE PERCENTAGE BY REGIONS 
FIG. 26  KEY FINANCIALS OF TIBCO REVENUE, 2009-2013, $MILLION 
FIG. 27  SWOT ANALYSIS OF TIBCO 
FIG. 28  KEY FINANCIALS OF TABLEAU REVENUE 2009-2013, $MILLION 
FIG. 29  KEY FINANCIALS OF ORACLE REVENUE PERCENTAGE BY REGIONS 
FIG. 30  KEY FINANCIALS OF ORACLE REVENUE PERCENTAGE BY PORTFOLIO 
FIG. 31  SWOT ANALYSIS OF ORACLE 

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