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Global Text Analytics Market (Deployment Model, Application, End User and Geography)

Size, Share, Global Trends, Company Profiles, Demand, Insights, Analysis, Research, Report, Opportunities, Segmentation and Forecast, 2013 - 2020
Category : ICT Media  | Published Date : Jan-2015
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Text analytics is a developing technology that is prominent amongst different commercial enterprises, for example, BFSI, FMCG, Healthcare, Telecom, and so forth. Text analytics software prepare the organizations to comprehend their clients better, and help them focus clients' requests, buying examples by examining the information produced from different sources. The developing prominence of text analytics technology is ascribed to the climbing acknowledgement of online networking stages and developing trend towards cloud technology for information gathering. There is a growing propensity among organizations to embrace cloud technology to comprehend the intrinsic elements of the business sector. The capability to stop fraud, plan effective advertising campaigns, manage risk, etc. are the of key reasons propelling the growth of global text analytics applications segment. As generous information is created through distinctive sources, the selection of cloud technology engages organizations to examine the information and conjecture productive results of the same. The capacity of text analytics to break down information progressively has impacted its appropriation in different organizations; hence, the popularity of text analysis is increasing to rethink business forms. Furthermore, developing economies give gigantic potential to the development of the text analytics especially in the Asia-Pacific.

The capacity of text analytics to concentrate important data from unstructured information would profit organizations in picking up business brainpower, fathoming business sector flow and increasing noteworthy understanding into the aggressive scene of the business. The top players in the business sector are embracing acquisition, partnerships, collaborations and product launch to extend their geographic scope, fortify product offerings and to enhance their administrations. Organizations, for example, Clarabridge, SAS Incorporation, and numerous other top business players are adopting product launch and partnership as their key plan. For example, in April 2014, Clarabridge, a pioneer of content explanatory items, procured Market Metrix, a main Enterprise Feedback Management stage, to grow its analytics offerings with a strong stage. The consolidated arrangement would help in examining the information proficiently.

The worldwide business sector consist of applications, deployment models, and geography and end users. Cloud built and in light of premise are two deployment models on which message analytics software would be conveyed. The applications business further comprises in view of fraud detections, competitive intelligence, predictive analytics, and so forth in major telecommunication and financial segments. Businesses, for example, retail, managing an account and monetary administrations and protection (BFSI), government, telecom division, Fast moving consumer merchandise (FMCG), health awareness and pharmaceuticals use content analytics software to dissect consumer practices. Further, in-depth analysis the market is conducted over different regions, viz. North America, Europe, Asia Pacific and LAMEA.

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 calibre 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

KEY MARKET SEGMENTS

TEXT ANALYTICS MARKET BY DEPLOYMENT MODEL

  • On-premise model
  • Cloud based model

TEXT ANALYTICS MAKRET BY APPICATION

  • 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

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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Publisher Name : Allied Market Research

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