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Global social media analytics market to reach USD 11.7 billion by 2027.

Global Social Media Analytics Market Size study, by Component (Solutions, Services), by Application (Sales and Marketing Management, Customer Experience Management, Competitive Intelligence, Risk Management and Fraud Detection, Public Safety and Law Enforcement, Others), by Deployment Mode (Cloud, On-premises), by Organization Size (Small and Medium-Sized Enterprises, Large Enterprises), by Analytics Type (Predictive Analytics, Prescriptive Analytics, Diagnostic Analytic, Descriptive Analytics), by Vertical (BFSI, Retail and Consumer Goods, Government and Public Sector, Healthcare and Life Sciences, IT and Telecom, Media and Entertainment, Travel and Hospitality, Others), and Regional Forecasts 2021-2027

Product Code: ICTICTS-76666659
Publish Date: 30-11-2021
Page: 200

Global social media analytics market is valued approximately at USD 2.6 billion in 2020 and is anticipated to grow with a healthy growth rate of about 24.0% over the forecast period 2021-2027. Social media analytics is the ability to collect and find meaning in data which is collected from social channels in order to support business decisions. It is also used to analyze online media channels which includes blogs, news websites, and forums. The global social media analytics market is being driven by rising number of social media users and increased focus on the market and competitive intelligence. Furthermore, rising cloud adoption trends will provide new opportunities for the global social media analytics industry. According to Statista, the total number of social network users across the globe is expected to increase from 2.86 billion in 2017 to approximately 4.41 billion by 2025. Such growth in the penetration of social media across the globe is expected to increase the demand and adoption of social media analytics solutions and services for data analysis. Hence, this is expected to promote the market growth. However, complexities in the analytical workflow may impede market growth over the forecast period of 2021-2027.

The regional analysis of the global social media analytics market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America accounts for the largest share in terms of market revenue in the global social media analytics market over the forecast period 2021-2027. Factors such as early and rapid adoption of new and advanced technologies, presence of majority of the key market players, technological advancements and developments, etc. contribute towards the largest market share of the region in the forecast years.

Major market player included in this report are:

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:
By Application:
Sales and Marketing Management
Customer Experience Management
Competitive Intelligence
Risk Management and Fraud Detection
Public Safety and Law Enforcement
By Deployment Mode:
By Organization Size:
Small and Medium-Sized Enterprises
Large Enterprises
By Analytics Type:
Predictive Analytics
Prescriptive Analytics
Diagnostic Analytic
Descriptive Analytics
By Vertical:
Retail and Consumer Goods
Government and Public Sector
Healthcare and Life Sciences
IT and Telecom
Media and Entertainment
Travel and Hospitality
By Region:
North America

Asia Pacific
South Korea
Latin America
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019
Base year – 2020
Forecast period – 2021 to 2027.

Target Audience of the Global Social Media Analytics Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Billion)
1.2.1. Social Media Analytics Market, by Region, 2019-2027 (USD Billion)
1.2.2. Social Media Analytics Market, by Component, 2019-2027 (USD Billion)
1.2.3. Social Media Analytics Market, by Application, 2019-2027 (USD Billion)
1.2.4. Social Media Analytics Market, by Deployment Mode, 2019-2027 (USD Billion)
1.2.5. Social Media Analytics Market, by Organization Size, 2019-2027 (USD Billion)
1.2.6. Social Media Analytics Market, by Analytics Type, 2019-2027 (USD Billion)
1.2.7. Social Media Analytics Market, by Vertical, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Social Media Analytics Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Social Media Analytics Market Dynamics
3.1. Social Media Analytics Market Impact Analysis (2019-2027)
3.1.1. Market Drivers Rising number of social media users Increased focus on the market and competitive intelligence
3.1.2. Market Restraint Complexities in the analytical workflow
3.1.3. Market Opportunities Rising cloud adoption trends
Chapter 4. Global Social Media Analytics Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Social Media Analytics Market, by Component
5.1. Market Snapshot
5.2. Global Social Media Analytics Market by Component, Performance – Potential Analysis
5.3. Global Social Media Analytics Market Estimates & Forecasts by Component 2018-2027 (USD Billion)
5.4. Social Media Analytics Market, Sub Segment Analysis
5.4.1. Solutions
5.4.2. Services
Chapter 6. Global Social Media Analytics Market, by Application
6.1. Market Snapshot
6.2. Global Social Media Analytics Market by Application, Performance – Potential Analysis
6.3. Global Social Media Analytics Market Estimates & Forecasts by Application 2018-2027 (USD Billion)
6.4. Social Media Analytics Market, Sub Segment Analysis
6.4.1. Sales and Marketing Management
6.4.2. Customer Experience Management
6.4.3. Competitive Intelligence
6.4.4. Risk Management and Fraud Detection
6.4.5. Public Safety and Law Enforcement
6.4.6. Others
Chapter 7. Global Social Media Analytics Market, by Deployment Mode
7.1. Market Snapshot
7.2. Global Social Media Analytics Market by Deployment Mode, Performance – Potential Analysis
7.3. Global Social Media Analytics Market Estimates & Forecasts by Deployment Mode 2018-2027 (USD Billion)
7.4. Social Media Analytics Market, Sub Segment Analysis
7.4.1. Cloud
7.4.2. On-premises
Chapter 8. Global Social Media Analytics Market, by Organization Size
8.1. Market Snapshot
8.2. Global Social Media Analytics Market by Organization Size, Performance – Potential Analysis
8.3. Global Social Media Analytics Market Estimates & Forecasts by Organization Size 2018-2027 (USD Billion)
8.4. Social Media Analytics Market, Sub Segment Analysis
8.4.1. Small and Medium-Sized Enterprises
8.4.2. Large Enterprises
Chapter 9. Global Social Media Analytics Market, by Analytics Type
9.1. Market Snapshot
9.2. Global Social Media Analytics Market by Analytics Type, Performance – Potential Analysis
9.3. Global Social Media Analytics Market Estimates & Forecasts by Analytics Type 2018-2027 (USD Billion)
9.4. Social Media Analytics Market, Sub Segment Analysis
9.4.1. Predictive Analytics
9.4.2. Prescriptive Analytics
9.4.3. Diagnostic Analytic
9.4.4. Descriptive Analytics
Chapter 10. Global Social Media Analytics Market, by Vertical
10.1. Market Snapshot
10.2. Global Social Media Analytics Market by Vertical, Performance – Potential Analysis
10.3. Global Social Media Analytics Market Estimates & Forecasts by Vertical 2018-2027 (USD Billion)
10.4. Social Media Analytics Market, Sub Segment Analysis
10.4.1. BFSI
10.4.2. Retail and Consumer Goods
10.4.3. Government and Public Sector
10.4.4. Healthcare and Life Sciences
10.4.5. IT and Telecom
10.4.6. Media and Entertainment
10.4.7. Travel and Hospitality
10.4.8. Others
Chapter 11. Global Social Media Analytics Market, Regional Analysis
11.1. Social Media Analytics Market, Regional Market Snapshot
11.2. North America Social Media Analytics Market
11.2.1. U.S. Social Media Analytics Market Component breakdown estimates & forecasts, 2018-2027 Application breakdown estimates & forecasts, 2018-2027 Deployment Mode breakdown estimates & forecasts, 2018-2027 Organization Size breakdown estimates & forecasts, 2018-2027 Analytics Type breakdown estimates & forecasts, 2018-2027 Vertical breakdown estimates & forecasts, 2018-2027
11.2.2. Canada Social Media Analytics Market
11.3. Europe Social Media Analytics Market Snapshot
11.3.1. U.K. Social Media Analytics Market
11.3.2. Germany Social Media Analytics Market
11.3.3. France Social Media Analytics Market
11.3.4. Spain Social Media Analytics Market
11.3.5. Italy Social Media Analytics Market
11.3.6. Rest of Europe Social Media Analytics Market
11.4. Asia-Pacific Social Media Analytics Market Snapshot
11.4.1. China Social Media Analytics Market
11.4.2. India Social Media Analytics Market
11.4.3. Japan Social Media Analytics Market
11.4.4. Australia Social Media Analytics Market
11.4.5. South Korea Social Media Analytics Market
11.4.6. Rest of Asia Pacific Social Media Analytics Market
11.5. Latin America Social Media Analytics Market Snapshot
11.5.1. Brazil Social Media Analytics Market
11.5.2. Mexico Social Media Analytics Market
11.6. Rest of The World Social Media Analytics Market
Chapter 12. Competitive Intelligence
12.1. Top Market Strategies
12.2. Company Profiles
12.2.1. IBM Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
12.2.2. Google
12.2.3. Oracle
12.2.4. Salesforce
12.2.5. Adobe
12.2.6. SAS
12.2.7. Clarabridge
12.2.8. NetbaseQuid
12.2.9. Digimind
12.2.10. Talkwalker
Chapter 13. Research Process
13.1. Research Process
13.1.1. Data Mining
13.1.2. Analysis
13.1.3. Market Estimation
13.1.4. Validation
13.1.5. Publishing
13.2. Research Attributes
13.3. Research Assumption

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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
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