Report Scope & Overview:

The Social Media Analytics Market size was valued at USD 5.21 Bn in 2022 and is expected to reach USD 10.14 Bn by 2030, and grow at a CAGR of 8.67% over the forecast period 2023-2030.

Social media analytics (SMA) is a method of gathering and analyzing data from social media sites and blogs in order to make business choices. The method of social media analysis goes beyond the normal monitoring or a basic study of retweets or likes, but it aids in developing a comprehensive understanding of the social consumer. The first stage in social media analysis is determining which business objectives may benefit from the data being gathered and analyzed. The process's standard aims include increasing corporate profitability, minimizing customer service expenses, improving public perception of a business division, and gathering feedback on services and goods.

Social Media Analytics Market Revenue Analysis

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The primary benefit of social media analysis is that it allows businesses to get a competitive advantage over their competitors by facilitating a far better understanding of their brands or services. This is generally an understanding of how customers utilize certain services or goods, what kinds of problems they have when using these services or products, and how this helps to learn more about how customers are. There are a large number of tweets, blogs, comments, and complaints about items and services, which helps to fill product or service gaps. In many situations, customers have effective answers to problems that their company or organization is experiencing, therefore social media research provides a chance to learn from customers.



  • An increasing number of people are using social media.

  • increased market awareness and competitive knowledge.

  • There is a growing demand for social media measurement to improve the consumer experience.


  • Analytical workflow complexities.

  • a scarcity of analytical skillsets.


  • Massive amounts of data are generated via social media networks.

  • Trends in cloud adoption are increasing.

  • People are gravitating toward virtual solutions.


  • There are no standard metrics for social media analytics.

  • Lack of a unified method to manage the growing amount of unstructured data.


The epidemic of covid-19 has a significant beneficial influence on the social media analytics sector. The covid-19 has demonstrated the importance of data and how analytics may help with pandemic control. This epidemic had a negative influence on businesses all across the world, but the social media analytics sector provided several chances. People stayed at home most of the time due to the lockdown, and social media platforms were popular at the time. People began to use social media platforms as a means of communication all around the world. The media and large corporations are attempting to engage their clients and have turned to social media to aid them. Many artists use social media to communicate with their consumers, and social media analytics is an excellent tool to understand client demands and create new ways to connect with them. As a result, the covid-19 has had a positive influence on the worldwide social media analytics business.


The social media analytics market is divided into two parts: solutions and services. The use of social media analytics has grown in popularity because it can be used for a number of reasons, including competitive intelligence and customer experience management. The adoption of social media analytics is increasing across all major business sectors, including BFSI, telecom and IT, retail and e-commerce, health care and life science, government and defense, media and entertainment, travel and hospitality, and others.

The majority of the social media analytics industry requires cloud-based solutions since they are cost-effective and easily scalable. It is also simple to keep and manage data. Its cheap cost of operating expenses allows consumers to pay per usage and focus more time and attention on important company goals. The social media analytics solution is delivered as Software as a Service (SaaS) under the cloud deployment architecture, and all social media analytics workloads are cloud-based. The social media analytics solution suppliers manage the customer's IT infrastructure needs, data redundancy, data availability, virtual private network setup, security procedures and audits, configuration, maintenance, and upgrades. End users are interested in cloud-based solutions because of the cheap operational costs, ease of implementation, scalability, flexibility, and ease of collaboration.

The social media analytics market has been classified into predictive analytics, prescriptive analytics, descriptive analytics, and diagnostic analytics, with descriptive analytics expected to develop at the fastest CAGR throughout the projected period. Descriptive analytics is distinguished by the analysis of previous events and behaviors in order to provide valuable insights that are useful to the company for future usage.

Because of the affordability and significant economies of scale that allows firms to utilize the benefits of social media analytics tools, the traction of social media analytics solutions in large corporations is predicted to be strong. Large organizations often have extensive infrastructure and complicated networks, are dispersed over several sites, and operate on a global scale. Enormous organizations' IT infrastructure and procedures are extensive and sophisticated due to their large client base and employees. They are always in need of a centralized system to automate and simplify their often-done activities. To handle their social data, communications, and content transmission, they want superior integrated systems.

Social media analytics is gaining traction across many industries as a means of increasing profitability and lowering total expenses. BFSI, telecom and IT, retail and e-commerce, health care and life science, government and defense, media and entertainment, travel and hospitality, and other industry verticals are the major verticals adopting social media analytics solutions. The healthcare and life science verticals are expected to grow at the fastest CAGR during the forecast period. Healthcare services may collect multiple opinions and viewpoints by monitoring and analyzing public activity through social media, which helps decision-makers uncover the demands of the patients. As it has flawlessly bridged the gap between patients and healthcare, social media analytics has proven to be a crucial tool for the healthcare and life science industries.


On The Basis of Components

  • Solution

  • Services

On The Basis of Application

  • Sales and Marketing Management

  • Customer Experience Management

  • Competitive Intelligence

  • Risk Management and Fraud Detection

  • Public Safety and Law Enforcement

  • Others

On The Basis of Deployment Mode

  • Cloud

  • On-premises

On The Basis of Organization Size

  • Small and Medium-Sized Enterprises

  • Large Enterprises

On The Basis of Analytics type

  • Predictive Analytics

  • Prescriptive Analytics

  • Diagnostic Analytic

  • Descriptive Analytics

On The Basis of Vertical

  • BFSI

  • Retail and Consumer Goods

  • Government and Public Sector

  • Healthcare and Life Sciences

  • IT and Telecom

  • Media and Entertainment

  • Travel and Hospitality

  • Others

Social Media Analytics Market Segmentation Analysis

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The geographical study of the social media analytics market is part of research in several areas throughout the world, including North America, Europe, Asia-Pacific, and others. North America holds the greatest market share in the social media analytics business. In the projection period, the Asia-Pacific region is predicted to grow at the quickest rate. The expansion of the social media analytics sector may be viewed as a result of technological advancements in the North American area and the rising usage of mobile phones and tablets.


  • North America

    • USA

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

    • Italy

    • Spain

    • The Netherlands

    • Rest of Europe

  • Asia-Pacific

    • Japan

    • south Korea

    • China

    • India

    • Australia

    • Rest of Asia-Pacific

  • The Middle East & Africa

    • Israel

    • UAE

    • South Africa

    • Rest of Middle East & Africa

  • Latin America

    • Brazil

    • Argentina

    • Rest of Latin America


The major key players are SAS Institute,, GoodData, HootSuite Media, Tableau Software, IBM Corporation, Oracle Corporation, Adobe Systems, SAP SE, NetBase Solutions & Other Players

SAS Institute-Company Financial Analysis

Social Media Analytics Market Report Scope:
Report Attributes Details
 Market Size in 2022

 US$ 5.21 Bn

 Market Size by 2030

 US$ 10.14 Bn


 CAGR of 8.67% From 2023 to 2030

 Base Year


 Forecast Period


 Historical Data


 Report Scope & Coverage

Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook

 Key Segments

• By Components (Solution and 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 and On-premises)
• By Analytics Type (Predictive Analytics, Prescriptive Analytics, Diagnostic Analytics, 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)

 Regional Analysis/Coverage

North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)

 Company Profiles

SAS Institute,, GoodData, HootSuite Media, Tableau Software, IBM Corporation, Oracle Corporation, Adobe Systems, SAP SE, NetBase Solutions

 Key Drivers

• An increasing number of people are using social media
• increased market awareness and competitive knowledge

 Market Challenges

• There are no standard metrics for social media analytics
• Lack of a unified method to manage the growing amount of unstructured data 


Frequently Asked Questions

Ans: - The estimated market size for the Workforce management market for the year 2030 is USD 10.14 Bn.

Ans: - Massive amounts of data are generated via social media networks and trends in cloud adoption are increasing.

Ans: - The segments covered in the Workforce Management Market report for study are On the Basis of Components, Application, Deployment Mode, Organization Size, Analytics Type, and Vertical.

Ans: - North America holds the greatest market share in the social media analytics business.

Ans: - The major key players are SAS Institute,, GoodData, HootSuite Media, Tableau Software, IBM Corporation, Oracle Corporation, Adobe Systems, SAP SE, and NetBase Solutions.

Table of Contents


1. Introduction

1.1 Market Definition

1.2 Scope

1.3 Research Assumptions


2. Research Methodology


3. Market Dynamics

3.1 Drivers

3.2 Restraints

3.3 Opportunities

3.4 Challenges


4. Impact Analysis

4.1 COVID-19 Impact Analysis

4.2 Impact of Ukraine- Russia war

4.3 Impact of ongoing Recession

4.3.1 Introduction

4.3.2 Impact on major economies US Canada Germany France United Kingdom China Japan South Korea Rest of the World


5. Value Chain Analysis


6. Porter’s 5 forces model


7.  PEST Analysis


8. Social Media Analytics Market Segmentation, By Components

8.1 Solution

8.2 Services


9. Social Media Analytics Market Segmentation, By Application

9.1 Sales and Marketing Management

9.2 Customer Experience Management

9.3 Competitive Intelligence

9.4 Risk Management and Fraud Detection

9.5 Public Safety and Law Enforcement

9.6 Others


10. Social Media Analytics Market Segmentation, By Deployment Mode

10.1 Cloud

10.2 On-premises


11. Social Media Analytics Market Segmentation, By Organization Size

11.1 Small and Medium-Sized Enterprises

11.2 Large Enterprises


12. Social Media Analytics Market Segmentation, By Analytics type

12.1 Predictive Analytics

12.2 Prescriptive Analytics

12.3 Diagnostic Analytic

12.4 Descriptive Analytics


13. Social Media Analytics Market Segmentation, By Vertical

13.1 BFSI

13.2 Retail and Consumer Goods

13.3 Government and Public Sector

13.4 Healthcare and Life Sciences

13.5 IT and Telecom

13.6 Media and Entertainment

13.7 Travel and Hospitality

13.8 Others


14. Regional Analysis

14.1 Introduction

14.2 North America

14.2.1 USA

14.2.2  Canada

14.2.3  Mexico

14.3     Europe

14.3.1  Germany

14.3.2  UK

14.3.3  France

14.3.4  Italy

14.3.5  Spain

14.3.6  The Netherlands

14.3.7  Rest of Europe

14.3.    Asia-Pacific

14.4.1  Japan

14.4.2  South Korea

14.4.3  China

14.4.4  India

14.4.5  Australia

14.4.6  Rest of Asia-Pacific

14.5     The Middle East & Africa

14.5.1  Israel

14.5.2  UAE

14.5.3  South Africa

14.5.4  Rest

14.6     Latin America

14.6.1  Brazil

14.6.2  Argentina

14.6.3  Rest of Latin America


15. Company Profiles

15.1 SAS Institute

15.1.1 Financial

15.1.2 Products/ Services Offered

15.1.3 SWOT Analysis

15.1.4 The SNS view


15.3 GoodData

15.4 HootSuite Media

15.5 Tableau Software

15.6 IBM Corporation

15.7 Oracle Corporation

15.8 Adobe Systems

15.9 SAP SE

15.10 SAP SE


16. Competitive Landscape

16.1 Competitive Benchmarking

16.2 Market Share Analysis

16.3 Recent Developments


17. Conclusion

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The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.

We at SNS Insider have divided Primary Research into 2 parts.

Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.

This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Primary Research

Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.

Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.

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Data Bank Validation

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