Social Media Analytics Market (By Component: Software, Services; By Function: Sentiment Analysis; By Application; By Analytics Type; By Vertical) - Global Industry Analysis, Size, Share, Growth, Trends, Revenue, Regional Outlook and Forecast 2023-2032

The global social media analytics market was estimated at USD 6.39 billion in 2022 and it is expected to surpass around USD 70.58 billion by 2032, poised to grow at a CAGR of 27.15% from 2023 to 2032. The social media analytics market in the United States was accounted for USD 1.4 billion in 2022.

Social Media Analytics Market Size 2023 to 2032

Key Pointers

  • The North America region accounted for the highest share in the market at 34% in 2022. 
  • The software segment dominated the market in 2022 with a market share of 60%.
  • The sentiment analysis segment dominated the market with a revenue share of 39% in 2022. 
  • The dashboard & visualization segment is expected to grow with the fastest CAGR of 29.33% from 2023 to 2032. 
  • The risk management and fraud detection segment dominated the market in 2022 with a market share of 33%.
  • The predictive analytics segment dominated the market in 2022 with a market share of 36%. 
  • The media and entertainment segment dominated the market in 2022 with a share of 26%.

Report Scope of the Social Media Analytics Market

Report Coverage Details
Revenue Share of North America in 2022 34%
Revenue Forecast by 2032 USD 70.58 billion
Growth Rate from 2023 to 2032 CAGR of 27.15%
Base Year 2022
Forecast Period 2023 to 2032
Market Analysis (Terms Used) Value (US$ Million/Billion) or (Volume/Units)
Companies Covered Adobe; Brand24 Global, Inc; GoodData Corporation; Hootsuite Inc.; IBM Corporation; NetBase Quid, Inc.; Oracle; Salesforce, Inc.; Sprinklr; Sprout Social; Synthesio

 

The increasing demand for business intelligence (BI) methodologies in tandem with sophisticated analytics techniques and the tremendous increase in social media users have increased the global usage of social media analytics. Additionally, rising analytics spending and a growing interest in competitive intelligence are the drivers promoting the expansion of the social media analytics industry. In addition, rising SME adoption rates and rising cloud use indicate significant market development prospects. Real-time analytics are becoming more popular as companies try to keep track of user activity and swiftly respond to social media conversations. Advanced sentiment analysis and predictive analytics are made possible by integrating artificial intelligence and machine learning, providing deeper insights into customer behavior. 

The increase in social media influencers fuels the demand for influencer analytics, which aids companies in partnering with the best collaborators. Concerns about privacy and data security lead to the creation of reliable tools and solutions to assure compliance and safeguard user data. Social media analytics is also increasingly integrated into customer experience management plans to improve satisfaction and loyalty. The market for social media analytics is expanding due to rising social media usage, increased smartphone penetration, and other developments in digital technology. Additionally, some individuals use it for business, while others use it for networking and advertising. These elements encourage social media analytics to comprehend user requirements, demand, and scalability for the product. The market for social media analytics is also expanding due to rising cloud use and different uses for social media analytics, including better consumer data collection and improved customer behavioral analysis.

Component Insights

The software segment dominated the market in 2022 with a market share of 60%. With the increasing volume and speed of social media data, software tools are focusing on real-time monitoring capabilities. This enables businesses to track and respond promptly to customer feedback, emerging trends, or potential crises on social media. AI and ML technologies are being employed to enhance social media analytics software.

These technologies enable automated data processing, pattern recognition, and predictive analytics, helping businesses uncover valuable insights and optimize their social media strategies. Social media analytics software is increasingly incorporating features to identify and analyze influencers. These tools help businesses identify influential individuals who can promote their products or services, track their impact, and measure the success of influencer marketing campaigns.

Businesses seek service providers that can tailor their offerings to specific industry verticals, business objectives, and social media platforms. Customized services enable companies to obtain insights directly relevant to their unique needs and help them make data-driven decisions. For instance, in March 2022, Concept BIU introduced a customizable social media analytics and intelligence solution. This service provides accurate and fast social media updates, trends, and on-the-ground data to corporate clients and their agencies at the touch of a few clicks. With this initiative, Concept BIU establishes itself as India's only media monitoring and PR analytics service provider with the necessary tools to provide customers with a 360-degree perspective of the media environment and pertinent data for a more effective brand strategy.

Function Insights

The sentiment analysis segment dominated the market with a revenue share of 39% in 2022. Researchers and developers are exploring sentiment analytics to identify emotions like joy, sadness, anger, fear, surprise, and disgust within social media data. Sentiment analysis is integrated with other analytics techniques, such as topic modeling, network analysis, or influencer identification. Moreover, businesses can better understand social media data and derive deeper insights by combining sentiment analysis with other techniques responsible for market expansion. Sentiment analysis algorithms are being improved to understand the text's context better. Contextual information has been successfully captured using deep learning and contextual word embeddings.

The dashboard & visualization segment is expected to grow with the fastest CAGR of 29.33% from 2023 to 2032. With social media’s increasing volume of data and its velocity, real-time data visualization is becoming more crucial. Businesses and organizations want to monitor conversations and trends on social media so they can respond quickly and stay current on the latest developments. Network analysis techniques and social graph visualizations are employed to comprehend social connections' structure, recognize influential users, detect communities, and analyze information flow within social media platforms.

Application Insights

The risk management and fraud detection segment dominated the market in 2022 with a market share of 33%. Advanced analytics methods and artificial intelligence (AI) have become more critical in risk management and fraud detection in social media analytics. Faster detection and reaction to potential hazards and fraudulent activity is made possible by the real-time analysis of enormous volumes of social media data by AI-powered algorithms. Moreover, NLP is also essential for comprehending and gleaning valuable information from social media posts. By utilizing NLP approaches, organizations can analyze social media interactions more effectively, spot patterns, gauge mood, and expose possible hazards or dishonest behavior.

Social media analytics offers insightful data about client preferences, viewpoints, and requests. Businesses may use these insights to stimulate the creation of new products. Companies may find market gaps, find new product possibilities, and improve their current offers to better serve customer demands by watching social media conversations and examining client comments. This user-centric approach to product creation enhances the total consumer experience.

Analytics Type Insights

The predictive analytics segment dominated the market in 2022 with a market share of 36%. Predictive analytics and social media data are used to improve conventional client segmentation methods. Businesses may develop more precise and dynamic client categories by examining social media behavior, interaction trends, and consumer demographics. Then, these groups can enhance total consumer targeting, personalize marketing efforts, and customize product suggestions. Predictive analytics uses sentiment analysis, a crucial social media analytics component, to improve customer experience.

Prescriptive analytics mixed with social media analytics enables firms to optimize their social media initiatives in real-time. Prescriptive analytics may advise the ideal timing, topic, and targeting strategies for social media postings by continually analyzing social media data and performance indicators. Organizations can quickly modify their campaigns to increase engagement, reach, and conversions. Prescriptive analytics may also use social media analytics to determine consumer sentiment, preferences, and feedback. Businesses may get practical suggestions on improving their goods or services by integrating these insights.

Vertical Insights

The media and entertainment segment dominated the market in 2022 with a share of 26%. The media and entertainment industries are increasingly utilizing social media analytics tools to assess the success of their content. To better understand how their content connects with viewers and to make data-driven decisions to optimize their content strategy, this involves measuring metrics like engagement, reach, and audience sentiment. Media and entertainment organizations may segment their audience depending on demographics, interests, and behaviors with the help of social media analytics tools. This allows companies to focus their marketing and content efforts on specific target segments, ensuring that they create relevant and interesting experiences that increase viewing and engagement.

Social media analytics technologies track and examine talks about medications, treatments, and medical equipment. When patients or healthcare professionals report adverse events, side effects, or other safety concerns on social media platforms, this aids the identification and tracking of those issues by healthcare and life sciences businesses. Using social media analytics, healthcare organizations may learn important information about patient experiences, views, and preferences. Healthcare professionals may comprehend patient attitudes, get input on procedures or services, and spot opportunities for improvement by analyzing social media data, which can improve patient engagement and satisfaction.

Regional Insights

The North America region accounted for the highest share in the market at 34% in 2022. Businesses in North America are increasingly looking for real-time social media analytics to keep on top of the newest trends, customer emotions, and developing challenges. Timely decision-making, proactive consumer interaction, and efficient crisis management are all made possible by real-time data. There is a rising focus on maintaining compliance and preserving user data in social media analytics due to the shifting environment of privacy rules, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Companies in North America are making investments in solutions that comply with strict privacy laws to provide strong data security protection.

Social Media Analytics Market Share, By Region, 2022 (%)

Social media platforms have a sizable and expanding user base in the Asia Pacific region. Social media use has increased in nations including India, China, Indonesia, and Japan. The massive data drives the need for social media analytics solutions. This growing need makes way for more analysis. Additionally, businesses in the Asia Pacific region are starting to see the importance of data-driven decision-making. Businesses can make wise decisions using social media analytics to acquire insights into customer behavior, sentiment analysis, and market trends. This trend is driving the use of social media analytics solutions across several sectors.

Social Media Analytics Market Segmentations:

By Component 

  • Software
  • Services

By Function 

  • Sentiment Analysis
  • Competitive Analysis
  • Hashtag Analysis
  • Dashboard & Visualization
  • Others

By Application 

  • Sales And Marketing Management
  • Customer Experience Management
  • Competitive Intelligence
  • Risk Management And Fraud Detection
  • Public Safety And Law Enforcement

By Analytic Type 

  • Predictive Analytics
  • Prescriptive Analytics
  • Diagnostic Analytic
  • Descriptive Analytics

By Vertical 

  • BFSI
  • IT And Telecommunications
  • Retail And Consumer Goods
  • Healthcare And Lifesciences
  • Government And Public Sector
  • Media And Entertainment
  • Travel And Hospitality
  • Others

By Regional 

  • North America
    • U.S.
    • Canada
  • Europe
    • Germany
    • UK
    • France
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
  • Latin America
    • Mexico
    • Brazil
  • Middle East and Africa
    • Kingdom of Saudi Arabia (KSA)
    • UAE
    • South Africa

Frequently Asked Questions

The global social media analytics market size was reached at USD 6.39 billion in 2022 and it is projected to hit around USD 70.58 billion by 2032.

The global social media analytics market is growing at a compound annual growth rate (CAGR) of 27.15% from 2023 to 2032.

The North America region has accounted for the largest social media analytics market share in 2022.

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Social Media Analytics Market 

5.1. COVID-19 Landscape: Social Media Analytics Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Social Media Analytics Market, By Component

8.1. Social Media Analytics Market, by Component, 2023-2032

8.1.1. Software

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Services

8.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Social Media Analytics Market, By Function

9.1. Social Media Analytics Market, by Function, 2023-2032

9.1.1. Sentiment Analysis

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Competitive Analysis

9.1.2.1. Market Revenue and Forecast (2020-2032)

9.1.3. Hashtag Analysis

9.1.3.1. Market Revenue and Forecast (2020-2032)

9.1.4. Dashboard & Visualization

9.1.4.1. Market Revenue and Forecast (2020-2032)

9.1.5. Others

9.1.5.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Social Media Analytics Market, By Application 

10.1. Social Media Analytics Market, by Application, 2023-2032

10.1.1. Sales And Marketing Management

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Customer Experience Management

10.1.2.1. Market Revenue and Forecast (2020-2032)

10.1.3. Competitive Intelligence

10.1.3.1. Market Revenue and Forecast (2020-2032)

10.1.4. Risk Management And Fraud Detection

10.1.4.1. Market Revenue and Forecast (2020-2032)

10.1.5. Public Safety And Law Enforcement

10.1.5.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Social Media Analytics Market, By Analytic Type

11.1. Social Media Analytics Market, by Analytic Type, 2023-2032

11.1.1. Predictive Analytics

11.1.1.1. Market Revenue and Forecast (2020-2032)

11.1.2. Prescriptive Analytics

11.1.2.1. Market Revenue and Forecast (2020-2032)

11.1.3. Diagnostic Analytic

11.1.3.1. Market Revenue and Forecast (2020-2032)

11.1.4. Descriptive Analytics

11.1.4.1. Market Revenue and Forecast (2020-2032)

Chapter 12. Global Social Media Analytics Market, By Vertical

12.1. Social Media Analytics Market, by Vertical, 2023-2032

12.1.1. BFSI

12.1.1.1. Market Revenue and Forecast (2020-2032)

12.1.2. IT And Telecommunications

12.1.2.1. Market Revenue and Forecast (2020-2032)

12.1.3. Retail And Consumer Goods

12.1.3.1. Market Revenue and Forecast (2020-2032)

12.1.4. Healthcare And Lifesciences

12.1.4.1. Market Revenue and Forecast (2020-2032)

12.1.5. Government And Public Sector

12.1.5.1. Market Revenue and Forecast (2020-2032)

12.1.6. Media And Entertainment

12.1.6.1. Market Revenue and Forecast (2020-2032)

12.1.7. Travel And Hospitality

12.1.7.1. Market Revenue and Forecast (2020-2032)

12.1.8. Others

12.1.8.1. Market Revenue and Forecast (2020-2032)

Chapter 13. Global Social Media Analytics Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Component (2020-2032)

13.1.2. Market Revenue and Forecast, by Function (2020-2032)

13.1.3. Market Revenue and Forecast, by Application (2020-2032)

13.1.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.1.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.1.6.2. Market Revenue and Forecast, by Function (2020-2032)

13.1.6.3. Market Revenue and Forecast, by Application (2020-2032)

13.1.6.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.1.7. Market Revenue and Forecast, by Vertical (2020-2032) 

13.1.8. Rest of North America

13.1.8.1. Market Revenue and Forecast, by Component (2020-2032)

13.1.8.2. Market Revenue and Forecast, by Function (2020-2032)

13.1.8.3. Market Revenue and Forecast, by Application (2020-2032)

13.1.8.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.1.8.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.2. Market Revenue and Forecast, by Function (2020-2032)

13.2.3. Market Revenue and Forecast, by Application (2020-2032)

13.2.4. Market Revenue and Forecast, by Analytic Type (2020-2032) 

13.2.5. Market Revenue and Forecast, by Vertical (2020-2032) 

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.6.2. Market Revenue and Forecast, by Function (2020-2032)

13.2.6.3. Market Revenue and Forecast, by Application (2020-2032)

13.2.7. Market Revenue and Forecast, by Analytic Type (2020-2032) 

13.2.8. Market Revenue and Forecast, by Vertical (2020-2032) 

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.9.2. Market Revenue and Forecast, by Function (2020-2032)

13.2.9.3. Market Revenue and Forecast, by Application (2020-2032)

13.2.10. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.2.11. Market Revenue and Forecast, by Vertical (2020-2032)

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.12.2. Market Revenue and Forecast, by Function (2020-2032)

13.2.12.3. Market Revenue and Forecast, by Application (2020-2032)

13.2.12.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.2.13. Market Revenue and Forecast, by Vertical (2020-2032)

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.14.2. Market Revenue and Forecast, by Function (2020-2032)

13.2.14.3. Market Revenue and Forecast, by Application (2020-2032)

13.2.14.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.2.15. Market Revenue and Forecast, by Vertical (2020-2032)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.2. Market Revenue and Forecast, by Function (2020-2032)

13.3.3. Market Revenue and Forecast, by Application (2020-2032)

13.3.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.3.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.6.2. Market Revenue and Forecast, by Function (2020-2032)

13.3.6.3. Market Revenue and Forecast, by Application (2020-2032)

13.3.6.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.3.7. Market Revenue and Forecast, by Vertical (2020-2032)

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.8.2. Market Revenue and Forecast, by Function (2020-2032)

13.3.8.3. Market Revenue and Forecast, by Application (2020-2032)

13.3.8.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.3.9. Market Revenue and Forecast, by Vertical (2020-2032)

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.10.2. Market Revenue and Forecast, by Function (2020-2032)

13.3.10.3. Market Revenue and Forecast, by Application (2020-2032)

13.3.10.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.3.10.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.11.2. Market Revenue and Forecast, by Function (2020-2032)

13.3.11.3. Market Revenue and Forecast, by Application (2020-2032)

13.3.11.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.3.11.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.2. Market Revenue and Forecast, by Function (2020-2032)

13.4.3. Market Revenue and Forecast, by Application (2020-2032)

13.4.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.4.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.6.2. Market Revenue and Forecast, by Function (2020-2032)

13.4.6.3. Market Revenue and Forecast, by Application (2020-2032)

13.4.6.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.4.7. Market Revenue and Forecast, by Vertical (2020-2032)

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.8.2. Market Revenue and Forecast, by Function (2020-2032)

13.4.8.3. Market Revenue and Forecast, by Application (2020-2032)

13.4.8.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.4.9. Market Revenue and Forecast, by Vertical (2020-2032)

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.10.2. Market Revenue and Forecast, by Function (2020-2032)

13.4.10.3. Market Revenue and Forecast, by Application (2020-2032)

13.4.10.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.4.10.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.11.2. Market Revenue and Forecast, by Function (2020-2032)

13.4.11.3. Market Revenue and Forecast, by Application (2020-2032)

13.4.11.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.4.11.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Component (2020-2032)

13.5.2. Market Revenue and Forecast, by Function (2020-2032)

13.5.3. Market Revenue and Forecast, by Application (2020-2032)

13.5.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.5.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.5.6.2. Market Revenue and Forecast, by Function (2020-2032)

13.5.6.3. Market Revenue and Forecast, by Application (2020-2032)

13.5.6.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.5.7. Market Revenue and Forecast, by Vertical (2020-2032)

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Component (2020-2032)

13.5.8.2. Market Revenue and Forecast, by Function (2020-2032)

13.5.8.3. Market Revenue and Forecast, by Application (2020-2032)

13.5.8.4. Market Revenue and Forecast, by Analytic Type (2020-2032)

13.5.8.5. Market Revenue and Forecast, by Vertical (2020-2032)

Chapter 14. Company Profiles

14.1. Adobe

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. Brand24 Global, Inc

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. Good Data Corporation

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Hootsuite Inc.

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. IBM Corporation

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. NetBase Quid, Inc.

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. Oracle

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Salesforce, Inc.

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. Sprinklr

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. Sprout Social

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

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