Social Media Analytics-Based Insurance Market By Component, By Deployment Mode, By Enterprise Size, By Platforms, By End User: Global Opportunity Analysis and Industry Forecast, 2021-2031

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

Executive Summary

According to this report, titled, 'Social Media Analytics-Based Insurance Market,' the social media analytics-based insurance market size was valued at $3.5 billion in 2021, and is estimated to reach $33.0 billion by 2031, growing at a CAGR of 25.5% from 2022 to 2031.

Furthermore, major market players are undertaking various strategies to increase the competition and offer enhanced services to their customers. For instance, in August 2020, Brandwatch, a digital consumer intelligence company, announced a partnership with Kinetiq, the pioneer of real-time TV intelligence for brand, to provide the most comprehensive cross-channel marketing intelligence solution on the market. The deal brings Kinetiq’s data from over 2,600 TV stations across more than 85 countries into the Brandwatch consumer research platform alongside the world’s largest social data archive and its suite of AI-powered analytics, customer experience management, alerting and reporting tools. These is a major driving factor for the social media analytics-based insurance market growth.

On the basis of platform, the Facebook segment acquires major social media analytics-based insurance market share. This is attributed to the fact that Facebook is a great channel that contains information about the current, and potential customers and insurers can harvest this critical information to make significant product developments. Furthermore, insurers can mine crucial customer data and utilize predictive analytics to gain valuable insights from Facebook, which ultimately help their customers to reach better underwriting decisions.

By region, North America attained the highest growth in 2021. This is attributed to the rapid advancements in the insurance industry, owing to modern technologies such as machine learning, blockchain, big data, and artificial intelligence has contributed toward growth of the social media analytics-based insurance market in this region. In addition, increase in awareness of insurance analytical tools among insurance companies, government agencies, and third-party administrators, brokers, and consultancies surge in partnership for adopting & implementing insurance analytical tools are the major factors that influence the growth of the social media analytics-based insurance market trends in this region.

COVID-19 had a positive impact on the market since, the increasing number of cloud adoption and Artificial Intelligence (AI) among the insurance providers. In addition, most individuals stayed at home at that period, which caused social media sites to become crowded. Therefore, due to the widespread use of social media platforms for communication, many banking organizations, financial institutions, and insurance businesses have started using these channels to interact with their clients and the general public Therefore, the COVID-19 positively impacted the social media analytics-based insurance market.

Key findings of the study

By component, the tools segment led the social media analytics-based insurance market in terms of revenue in 2021.

By deployment mode, the on-premise segment accounted for the highest social media analytics-based insurance market share in 2021.

By end user, the insurance companies segment accounted for the highest social media analytics-based insurance market trends in 2021.

By region, North America generated the highest revenue in 2021.

The report profiles of key players operating in the social media analytics-based insurance market analysis 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.

Companies Mentioned

• 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

Methodology

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

• Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
• Scientific and technical writings for product information and related preemptions
• Regional government and statistical databases for macro analysis
• Authentic news articles and other related releases for market evaluation
• Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.