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Social Media Analytics-Based Insurance Market By Component, By Deployment Mode, By Enterprise Size (Large Enterprise, Small and Medium-sized Enterprises ), By Platforms, By End User : Global Opportunity Analysis and Industry Forecast, 2021-2031

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, ¼Ò¼È ¹Ìµð¾î ºÐ¼® ±â¹Ý º¸Çè ½ÃÀåÀº ±¸¼º ¿ä¼Ò, ¹èÆ÷ ¸ðµå, ±â¾÷ ±Ô¸ð, Ç÷§Æû, ÃÖÁ¾ »ç¿ëÀÚ, Áö¿ª¿¡ µû¶ó ºÎ¹®È­µË´Ï´Ù. ±¸¼º ¿ä¼Òº°·Î ¼ÒÇÁÆ®¿þ¾î¿Í ¼­ºñ½º·Î ±¸ºÐµË´Ï´Ù. ¹èÆ÷ ¸ðµå¿¡¼­´Â ¿ÂÇÁ·¹¹Ì½º¿Í Ŭ¶ó¿ìµå·Î À̺е˴ϴÙ. ±â¾÷ ±Ô¸ðº°·Î´Â ´ë±â¾÷°ú Áß¼Ò±â¾÷(SME)À¸·Î ºÐ·ùµË´Ï´Ù. Ç÷§Æûº°·Î ¼Ò¼È ¹Ìµð¾î ºÐ¼®À» ±â¹ÝÀ¸·Î ÇÑ º¸Çè ½ÃÀåÀº Facebook, LinkedIn, Twitter, Instagram, YouTube·Î ºÐ·ùµË´Ï´Ù. Facebook ºÐ¾ß´Â °í°´ °ü°è °ü¸®(CRM), ¿¹Ãø ºÐ¼®, ½Å¿ë Á¡¼ö·Î ¼¼ºÐÈ­µË´Ï´Ù. °í°´ °ü°è °ü¸®(CRM)´Â °í°´ ÇÁ·ÎÆÄÀϸµ ¹× ¸®½ºÅ© ºÐ¼®, ¾ð´õ¶óÀÌÆÃ, º¸Çè °è¾à ¼­ºñ½º·Î ³ª´¹´Ï´Ù. ÃÖÁ¾ »ç¿ëÀÚº°·Î ¼Ò¼È ¹Ìµð¾î ºÐ¼®À» ±â¹ÝÀ¸·Î ÇÏ´Â º¸Çè ½ÃÀåÀº º¸Çè ±â¾÷, Á¤ºÎ ±â°ü, Á¦3ÀÚ °ü¸®ÀÚ, ºê·ÎÄ¿, ÄÁ¼³ÅÏÆ® ±â¾÷·Î ±¸ºÐµË´Ï´Ù. Áö¿ªº°·Î´Â ºÏ¹Ì, À¯·´, ¾Æ½Ã¾Æ ÅÂÆò¾ç, LAMEA¿¡ ´ëÇØ ºÐ¼®ÇÕ´Ï´Ù.

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  • Adobe
  • Brandwatch
  • Cision US Inc.
  • Clarabridge
  • Digimind
  • GoodData Corporation
  • Hootsuite Inc.
  • International Business Machines Corporation
  • Meltwater
  • Netbase Quid, Inc.
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  • SAS Institute Inc.
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  • Talkwalker Inc.
  • Kazee Indonesia
  • ViralStat.com
LSH 23.03.13

Social media analytics (SMA) refers to the approach of collecting data from social media sites and blogs and evaluating that data to make business decisions. Insurance companies can utilize social media analytics to compile, analyze, and act on data collected from online discussions on both professional and user-generated media sites.

Social media analytics are being used by insurance companies all over the globe to improve their services and product offerings and obtain meaningful insights into consumer attitudes. Furthermore, increase in social media traffic in recent years is a driving factor for rise in demand for social media analytics-based insurance market. In addition, it helps to find the target audience and improves customer experience. However, complexities in the analytical workflow hampers the growth of the market such as, data identification, parameter setup, business rule definition, data preparation, execution, data modelling, and visualization. On the contrary, increase in adoption of cloud and AI based technology and technological advancements in the field of social media analytics are projected to provide major lucrative opportunities in the growth of the market.

 The social media analytics-based insurance market is segmented on the basis of component, deployment mode, enterprise size, platform, end user, and region. By component, it is segmented into software and services. By deployment mode, it is bifurcated into on-premises and cloud. By enterprise size, it is segregated into large enterprises, and small and medium-sized enterprises (SMEs). By platform, the social media analytics-based insurance market is segmented into Facebook, LinkedIn, Twitter, Instagram, and YouTube. Facebook segment is further sub segmented into customer relationship management (CRM), predictive analytics, and credit scoring. The customer relationship management (CRM) is further divided into customer profiling & risk analysis, underwriting, and policy servicing. By end user, the social media analytics-based insurance market is segmented into insurance companies, government agencies and third-party administrators, brokers and consultancies. By region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA       

The report analyzes the profiles of key players operating in the social media analytics-based insurance market such as Adobe, Brandwatch, Cision U.S. Inc., Clarabridge, Digimind, GoodData Corporation, Hootsuite Inc. International Business Machines Corporation, Meltwater, Netbase Quid, Inc., Oracle, Salesforce, Inc., SAS Institute Inc.,  Sprout Social Inc., Talkwalker Inc., Kazee Indonesia and ViralStat.com. These players have adopted various strategies to increase their market penetration and strengthen their position in the social media analytics-based insurance industry.

Key Benefits For Stakeholders

  • This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the social media analytics-based insurance market analysis from 2021 to 2031 to identify the prevailing social media analytics-based insurance market opportunities.
  • The market research is offered along with information related to key drivers, restraints, and opportunities.
  • Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
  • In-depth analysis of the social media analytics-based insurance market segmentation assists to determine the prevailing market opportunities.
  • Major countries in each region are mapped according to their revenue contribution to the global market.
  • Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
  • The report includes the analysis of the regional as well as global social media analytics-based insurance market trends, key players, market segments, application areas, and market growth strategies.

Key Market Segments

By Component

  • Tools
  • Service

By Deployment Mode

  • On-Premise
  • Cloud

By Enterprise Size

  • Large Enterprise
  • Small and Medium-sized Enterprises (SMEs)

By Platforms

  • LinkedIn
  • Twitter
  • Instagram
  • YouTube
  • Facebook

By End User

  • Insurance Companies
  • Government Agencies
  • Third-party Administrators, Brokers and Consultancies

By Region

  • North America
    • U.S.
    • Canada
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America
    • Middle East
    • Africa
  • Key Market Players
    • Adobe
    • Brandwatch
    • Cision U.S. Inc.
    • Clarabridge
    • Digimind
    • GoodData Corporation
    • Hootsuite Inc.
    • International Business Machines Corporation
    • Meltwater
    • Netbase Quid, Inc.
    • Oracle
    • Salesforce, Inc.
    • SAS Institute Inc.
    • Sprout Social, Inc.
    • Talkwalker Inc.
    • Kazee Indonesia
    • ViralStat.com

TABLE OF CONTENTS

CHAPTER 1:INTRODUCTION

  • 1.1.Report description
  • 1.2.Key market segments
  • 1.3.Key benefits to the stakeholders
  • 1.4.Research Methodology
    • 1.4.1.Secondary research
    • 1.4.2.Primary research
    • 1.4.3.Analyst tools and models

CHAPTER 2:EXECUTIVE SUMMARY

  • 2.1.Key findings of the study
  • 2.2.CXO Perspective

CHAPTER 3:MARKET OVERVIEW

  • 3.1.Market definition and scope
  • 3.2.Key findings
    • 3.2.1.Top investment pockets
  • 3.3.Porter's five forces analysis
  • 3.4.Top player positioning
  • 3.5.Market dynamics
    • 3.5.1.Drivers
    • 3.5.2.Restraints
    • 3.5.3.Opportunities
  • 3.6.COVID-19 Impact Analysis on the market

CHAPTER 4: SOCIAL MEDIA ANALYTICS-BASED INSURANCE MARKET, BY COMPONENT

  • 4.1 Overview
    • 4.1.1 Market size and forecast
  • 4.2 Tools
    • 4.2.1 Key market trends, growth factors and opportunities
    • 4.2.2 Market size and forecast, by region
    • 4.2.3 Market analysis by country
  • 4.3 Service
    • 4.3.1 Key market trends, growth factors and opportunities
    • 4.3.2 Market size and forecast, by region
    • 4.3.3 Market analysis by country

CHAPTER 5: SOCIAL MEDIA ANALYTICS-BASED INSURANCE MARKET, BY DEPLOYMENT MODE

  • 5.1 Overview
    • 5.1.1 Market size and forecast
  • 5.2 On-Premise
    • 5.2.1 Key market trends, growth factors and opportunities
    • 5.2.2 Market size and forecast, by region
    • 5.2.3 Market analysis by country
  • 5.3 Cloud
    • 5.3.1 Key market trends, growth factors and opportunities
    • 5.3.2 Market size and forecast, by region
    • 5.3.3 Market analysis by country

CHAPTER 6: SOCIAL MEDIA ANALYTICS-BASED INSURANCE MARKET, BY ENTERPRISE SIZE

  • 6.1 Overview
    • 6.1.1 Market size and forecast
  • 6.2 Large Enterprise
    • 6.2.1 Key market trends, growth factors and opportunities
    • 6.2.2 Market size and forecast, by region
    • 6.2.3 Market analysis by country
  • 6.3 Small and Medium-sized Enterprises (SMEs)
    • 6.3.1 Key market trends, growth factors and opportunities
    • 6.3.2 Market size and forecast, by region
    • 6.3.3 Market analysis by country

CHAPTER 7: SOCIAL MEDIA ANALYTICS-BASED INSURANCE MARKET, BY PLATFORMS

  • 7.1 Overview
    • 7.1.1 Market size and forecast
  • 7.2 Facebook
    • 7.2.1 Key market trends, growth factors and opportunities
    • 7.2.2 Market size and forecast, by region
    • 7.2.3 Market analysis by country
  • 7.3 LinkedIn
    • 7.3.1 Key market trends, growth factors and opportunities
    • 7.3.2 Market size and forecast, by region
    • 7.3.3 Market analysis by country
  • 7.4 Twitter
    • 7.4.1 Key market trends, growth factors and opportunities
    • 7.4.2 Market size and forecast, by region
    • 7.4.3 Market analysis by country
  • 7.5 Instagram
    • 7.5.1 Key market trends, growth factors and opportunities
    • 7.5.2 Market size and forecast, by region
    • 7.5.3 Market analysis by country
  • 7.6 YouTube
    • 7.6.1 Key market trends, growth factors and opportunities
    • 7.6.2 Market size and forecast, by region
    • 7.6.3 Market analysis by country

CHAPTER 8: SOCIAL MEDIA ANALYTICS-BASED INSURANCE MARKET, BY END USER

  • 8.1 Overview
    • 8.1.1 Market size and forecast
  • 8.2 Insurance Companies
    • 8.2.1 Key market trends, growth factors and opportunities
    • 8.2.2 Market size and forecast, by region
    • 8.2.3 Market analysis by country
  • 8.3 Government Agencies
    • 8.3.1 Key market trends, growth factors and opportunities
    • 8.3.2 Market size and forecast, by region
    • 8.3.3 Market analysis by country
  • 8.4 Third-party Administrators, Brokers and Consultancies
    • 8.4.1 Key market trends, growth factors and opportunities
    • 8.4.2 Market size and forecast, by region
    • 8.4.3 Market analysis by country

CHAPTER 9: SOCIAL MEDIA ANALYTICS-BASED INSURANCE MARKET, BY REGION

  • 9.1 Overview
    • 9.1.1 Market size and forecast
  • 9.2 North America
    • 9.2.1 Key trends and opportunities
    • 9.2.2 North America Market size and forecast, by Component
    • 9.2.3 North America Market size and forecast, by Deployment Mode
    • 9.2.4 North America Market size and forecast, by Enterprise Size
    • 9.2.5 North America Market size and forecast, by Platforms
    • 9.2.6 North America Market size and forecast, by End User
    • 9.2.7 North America Market size and forecast, by country
      • 9.2.7.1 U.S.
      • 9.2.7.1.1 Market size and forecast, by Component
      • 9.2.7.1.2 Market size and forecast, by Deployment Mode
      • 9.2.7.1.3 Market size and forecast, by Enterprise Size
      • 9.2.7.1.4 Market size and forecast, by Platforms
      • 9.2.7.1.5 Market size and forecast, by End User
      • 9.2.7.2 Canada
      • 9.2.7.2.1 Market size and forecast, by Component
      • 9.2.7.2.2 Market size and forecast, by Deployment Mode
      • 9.2.7.2.3 Market size and forecast, by Enterprise Size
      • 9.2.7.2.4 Market size and forecast, by Platforms
      • 9.2.7.2.5 Market size and forecast, by End User
  • 9.3 Europe
    • 9.3.1 Key trends and opportunities
    • 9.3.2 Europe Market size and forecast, by Component
    • 9.3.3 Europe Market size and forecast, by Deployment Mode
    • 9.3.4 Europe Market size and forecast, by Enterprise Size
    • 9.3.5 Europe Market size and forecast, by Platforms
    • 9.3.6 Europe Market size and forecast, by End User
    • 9.3.7 Europe Market size and forecast, by country
      • 9.3.7.1 United Kingdom
      • 9.3.7.1.1 Market size and forecast, by Component
      • 9.3.7.1.2 Market size and forecast, by Deployment Mode
      • 9.3.7.1.3 Market size and forecast, by Enterprise Size
      • 9.3.7.1.4 Market size and forecast, by Platforms
      • 9.3.7.1.5 Market size and forecast, by End User
      • 9.3.7.2 Germany
      • 9.3.7.2.1 Market size and forecast, by Component
      • 9.3.7.2.2 Market size and forecast, by Deployment Mode
      • 9.3.7.2.3 Market size and forecast, by Enterprise Size
      • 9.3.7.2.4 Market size and forecast, by Platforms
      • 9.3.7.2.5 Market size and forecast, by End User
      • 9.3.7.3 France
      • 9.3.7.3.1 Market size and forecast, by Component
      • 9.3.7.3.2 Market size and forecast, by Deployment Mode
      • 9.3.7.3.3 Market size and forecast, by Enterprise Size
      • 9.3.7.3.4 Market size and forecast, by Platforms
      • 9.3.7.3.5 Market size and forecast, by End User
      • 9.3.7.4 Italy
      • 9.3.7.4.1 Market size and forecast, by Component
      • 9.3.7.4.2 Market size and forecast, by Deployment Mode
      • 9.3.7.4.3 Market size and forecast, by Enterprise Size
      • 9.3.7.4.4 Market size and forecast, by Platforms
      • 9.3.7.4.5 Market size and forecast, by End User
      • 9.3.7.5 Spain
      • 9.3.7.5.1 Market size and forecast, by Component
      • 9.3.7.5.2 Market size and forecast, by Deployment Mode
      • 9.3.7.5.3 Market size and forecast, by Enterprise Size
      • 9.3.7.5.4 Market size and forecast, by Platforms
      • 9.3.7.5.5 Market size and forecast, by End User
      • 9.3.7.6 Netherlands
      • 9.3.7.6.1 Market size and forecast, by Component
      • 9.3.7.6.2 Market size and forecast, by Deployment Mode
      • 9.3.7.6.3 Market size and forecast, by Enterprise Size
      • 9.3.7.6.4 Market size and forecast, by Platforms
      • 9.3.7.6.5 Market size and forecast, by End User
      • 9.3.7.7 Rest of Europe
      • 9.3.7.7.1 Market size and forecast, by Component
      • 9.3.7.7.2 Market size and forecast, by Deployment Mode
      • 9.3.7.7.3 Market size and forecast, by Enterprise Size
      • 9.3.7.7.4 Market size and forecast, by Platforms
      • 9.3.7.7.5 Market size and forecast, by End User
  • 9.4 Asia-Pacific
    • 9.4.1 Key trends and opportunities
    • 9.4.2 Asia-Pacific Market size and forecast, by Component
    • 9.4.3 Asia-Pacific Market size and forecast, by Deployment Mode
    • 9.4.4 Asia-Pacific Market size and forecast, by Enterprise Size
    • 9.4.5 Asia-Pacific Market size and forecast, by Platforms
    • 9.4.6 Asia-Pacific Market size and forecast, by End User
    • 9.4.7 Asia-Pacific Market size and forecast, by country
      • 9.4.7.1 China
      • 9.4.7.1.1 Market size and forecast, by Component
      • 9.4.7.1.2 Market size and forecast, by Deployment Mode
      • 9.4.7.1.3 Market size and forecast, by Enterprise Size
      • 9.4.7.1.4 Market size and forecast, by Platforms
      • 9.4.7.1.5 Market size and forecast, by End User
      • 9.4.7.2 India
      • 9.4.7.2.1 Market size and forecast, by Component
      • 9.4.7.2.2 Market size and forecast, by Deployment Mode
      • 9.4.7.2.3 Market size and forecast, by Enterprise Size
      • 9.4.7.2.4 Market size and forecast, by Platforms
      • 9.4.7.2.5 Market size and forecast, by End User
      • 9.4.7.3 Japan
      • 9.4.7.3.1 Market size and forecast, by Component
      • 9.4.7.3.2 Market size and forecast, by Deployment Mode
      • 9.4.7.3.3 Market size and forecast, by Enterprise Size
      • 9.4.7.3.4 Market size and forecast, by Platforms
      • 9.4.7.3.5 Market size and forecast, by End User
      • 9.4.7.4 South Korea
      • 9.4.7.4.1 Market size and forecast, by Component
      • 9.4.7.4.2 Market size and forecast, by Deployment Mode
      • 9.4.7.4.3 Market size and forecast, by Enterprise Size
      • 9.4.7.4.4 Market size and forecast, by Platforms
      • 9.4.7.4.5 Market size and forecast, by End User
      • 9.4.7.5 Australia
      • 9.4.7.5.1 Market size and forecast, by Component
      • 9.4.7.5.2 Market size and forecast, by Deployment Mode
      • 9.4.7.5.3 Market size and forecast, by Enterprise Size
      • 9.4.7.5.4 Market size and forecast, by Platforms
      • 9.4.7.5.5 Market size and forecast, by End User
      • 9.4.7.6 Rest of Asia-Pacific
      • 9.4.7.6.1 Market size and forecast, by Component
      • 9.4.7.6.2 Market size and forecast, by Deployment Mode
      • 9.4.7.6.3 Market size and forecast, by Enterprise Size
      • 9.4.7.6.4 Market size and forecast, by Platforms
      • 9.4.7.6.5 Market size and forecast, by End User
  • 9.5 LAMEA
    • 9.5.1 Key trends and opportunities
    • 9.5.2 LAMEA Market size and forecast, by Component
    • 9.5.3 LAMEA Market size and forecast, by Deployment Mode
    • 9.5.4 LAMEA Market size and forecast, by Enterprise Size
    • 9.5.5 LAMEA Market size and forecast, by Platforms
    • 9.5.6 LAMEA Market size and forecast, by End User
    • 9.5.7 LAMEA Market size and forecast, by country
      • 9.5.7.1 Latin America
      • 9.5.7.1.1 Market size and forecast, by Component
      • 9.5.7.1.2 Market size and forecast, by Deployment Mode
      • 9.5.7.1.3 Market size and forecast, by Enterprise Size
      • 9.5.7.1.4 Market size and forecast, by Platforms
      • 9.5.7.1.5 Market size and forecast, by End User
      • 9.5.7.2 Middle East
      • 9.5.7.2.1 Market size and forecast, by Component
      • 9.5.7.2.2 Market size and forecast, by Deployment Mode
      • 9.5.7.2.3 Market size and forecast, by Enterprise Size
      • 9.5.7.2.4 Market size and forecast, by Platforms
      • 9.5.7.2.5 Market size and forecast, by End User
      • 9.5.7.3 Africa
      • 9.5.7.3.1 Market size and forecast, by Component
      • 9.5.7.3.2 Market size and forecast, by Deployment Mode
      • 9.5.7.3.3 Market size and forecast, by Enterprise Size
      • 9.5.7.3.4 Market size and forecast, by Platforms
      • 9.5.7.3.5 Market size and forecast, by End User

CHAPTER 10: COMPANY LANDSCAPE

  • 10.1. Introduction
  • 10.2. Top winning strategies
  • 10.3. Product Mapping of Top 10 Player
  • 10.4. Competitive Dashboard
  • 10.5. Competitive Heatmap
  • 10.6. Key developments

CHAPTER 11: COMPANY PROFILES

  • 11.1 Adobe
    • 11.1.1 Company overview
    • 11.1.2 Company snapshot
    • 11.1.3 Operating business segments
    • 11.1.4 Product portfolio
    • 11.1.5 Business performance
    • 11.1.6 Key strategic moves and developments
  • 11.2 Brandwatch
    • 11.2.1 Company overview
    • 11.2.2 Company snapshot
    • 11.2.3 Operating business segments
    • 11.2.4 Product portfolio
    • 11.2.5 Business performance
    • 11.2.6 Key strategic moves and developments
  • 11.3 Cision U.S. Inc.
    • 11.3.1 Company overview
    • 11.3.2 Company snapshot
    • 11.3.3 Operating business segments
    • 11.3.4 Product portfolio
    • 11.3.5 Business performance
    • 11.3.6 Key strategic moves and developments
  • 11.4 Clarabridge
    • 11.4.1 Company overview
    • 11.4.2 Company snapshot
    • 11.4.3 Operating business segments
    • 11.4.4 Product portfolio
    • 11.4.5 Business performance
    • 11.4.6 Key strategic moves and developments
  • 11.5 Digimind
    • 11.5.1 Company overview
    • 11.5.2 Company snapshot
    • 11.5.3 Operating business segments
    • 11.5.4 Product portfolio
    • 11.5.5 Business performance
    • 11.5.6 Key strategic moves and developments
  • 11.6 GoodData Corporation
    • 11.6.1 Company overview
    • 11.6.2 Company snapshot
    • 11.6.3 Operating business segments
    • 11.6.4 Product portfolio
    • 11.6.5 Business performance
    • 11.6.6 Key strategic moves and developments
  • 11.7 Hootsuite Inc.
    • 11.7.1 Company overview
    • 11.7.2 Company snapshot
    • 11.7.3 Operating business segments
    • 11.7.4 Product portfolio
    • 11.7.5 Business performance
    • 11.7.6 Key strategic moves and developments
  • 11.8 International Business Machines Corporation
    • 11.8.1 Company overview
    • 11.8.2 Company snapshot
    • 11.8.3 Operating business segments
    • 11.8.4 Product portfolio
    • 11.8.5 Business performance
    • 11.8.6 Key strategic moves and developments
  • 11.9 Meltwater
    • 11.9.1 Company overview
    • 11.9.2 Company snapshot
    • 11.9.3 Operating business segments
    • 11.9.4 Product portfolio
    • 11.9.5 Business performance
    • 11.9.6 Key strategic moves and developments
  • 11.10 Netbase Quid, Inc.
    • 11.10.1 Company overview
    • 11.10.2 Company snapshot
    • 11.10.3 Operating business segments
    • 11.10.4 Product portfolio
    • 11.10.5 Business performance
    • 11.10.6 Key strategic moves and developments
  • 11.11 Oracle
    • 11.11.1 Company overview
    • 11.11.2 Company snapshot
    • 11.11.3 Operating business segments
    • 11.11.4 Product portfolio
    • 11.11.5 Business performance
    • 11.11.6 Key strategic moves and developments
  • 11.12 Salesforce, Inc.
    • 11.12.1 Company overview
    • 11.12.2 Company snapshot
    • 11.12.3 Operating business segments
    • 11.12.4 Product portfolio
    • 11.12.5 Business performance
    • 11.12.6 Key strategic moves and developments
  • 11.13 SAS Institute Inc.
    • 11.13.1 Company overview
    • 11.13.2 Company snapshot
    • 11.13.3 Operating business segments
    • 11.13.4 Product portfolio
    • 11.13.5 Business performance
    • 11.13.6 Key strategic moves and developments
  • 11.14 Sprout Social, Inc.
    • 11.14.1 Company overview
    • 11.14.2 Company snapshot
    • 11.14.3 Operating business segments
    • 11.14.4 Product portfolio
    • 11.14.5 Business performance
    • 11.14.6 Key strategic moves and developments
  • 11.15 Talkwalker Inc.
    • 11.15.1 Company overview
    • 11.15.2 Company snapshot
    • 11.15.3 Operating business segments
    • 11.15.4 Product portfolio
    • 11.15.5 Business performance
    • 11.15.6 Key strategic moves and developments
  • 11.16 Kazee Indonesia
    • 11.16.1 Company overview
    • 11.16.2 Company snapshot
    • 11.16.3 Operating business segments
    • 11.16.4 Product portfolio
    • 11.16.5 Business performance
    • 11.16.6 Key strategic moves and developments
  • 11.17 ViralStat.com
    • 11.17.1 Company overview
    • 11.17.2 Company snapshot
    • 11.17.3 Operating business segments
    • 11.17.4 Product portfolio
    • 11.17.5 Business performance
    • 11.17.6 Key strategic moves and developments
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