In 2021, **** percent of U.S. marketers in companies largest than 100 employees were expected to use social media for marketing purposes. In 2013, the share stood at **** percent. Social media marketing – additional informationEveryone knows that social media started as an entertainment tool and evolved to a powerful marketing tool. While it serves its primary purpose of connecting people, at the same time it plays a major role in connecting marketers with current and potential customers. Marketing professionals agreed that social media was very important to their business. In fact, ** percent agreed with it strongly. These convictions are reflected in growing expenditures towards this medium. In the United States alone, social media marketing spending is expected to exceed ** billion U.S. dollars in 2019 – almost ** billion increase, compared to 2014.When asked about the leading challenges of social media marketing, ** percent of surveyed marketers stated that assessing its effectiveness was their main concern, followed by strategy design and analyzing obtained data. In order to evaluate the effectiveness, U.S. social media specialists employed a number of measurements. Counting the number of hits, visits or page views was the leading social media metric used in 2014. In addition, ** percent of respondents believed that the number of friends or followers on social platforms was a significant indicator of marketing success.Specific platform usage among social media professionals varies depending on the type of commerce transaction. Twitter seems to be a shared platform, ranked second in usage for both business-to-business and business-to-consumer industries. The difference is visible when considering the primary spot. Among B2C marketers, ** percent used Facebook, while among B2B marketers, ** percent indicated using LinkedIn.

Gain valuable insights with our comprehensive Social Media Dataset, designed to help businesses, marketers, and analysts track trends, monitor engagement, and optimize strategies. This dataset provides structured and reliable social media data from multiple platforms.

Dataset Features

User Profiles: Access public social media profiles, including usernames, bios, follower counts, engagement metrics, and more. Ideal for audience analysis, influencer marketing, and competitive research. Posts & Content: Extract posts, captions, hashtags, media (images/videos), timestamps, and engagement metrics such as likes, shares, and comments. Useful for trend analysis, sentiment tracking, and content strategy optimization. Comments & Interactions: Analyze user interactions, including replies, mentions, and discussions. This data helps brands understand audience sentiment and engagement patterns. Hashtag & Trend Tracking: Monitor trending hashtags, topics, and viral content across platforms to stay ahead of industry trends and consumer interests.

Customizable Subsets for Specific Needs Our Social Media Dataset is fully customizable, allowing you to filter data based on platform, region, keywords, engagement levels, or specific user profiles. Whether you need a broad dataset for market research or a focused subset for brand monitoring, we tailor the dataset to your needs.

Popular Use Cases

Brand Monitoring & Reputation Management: Track brand mentions, customer feedback, and sentiment analysis to manage online reputation effectively. Influencer Marketing & Audience Analysis: Identify key influencers, analyze engagement metrics, and optimize influencer partnerships. Competitive Intelligence: Monitor competitor activity, content performance, and audience engagement to refine marketing strategies. Market Research & Consumer Insights: Analyze social media trends, customer preferences, and emerging topics to inform business decisions. AI & Predictive Analytics: Leverage structured social media data for AI-driven trend forecasting, sentiment analysis, and automated content recommendations.

Whether you're tracking brand sentiment, analyzing audience engagement, or monitoring industry trends, our Social Media Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

In 2023, Meta Platforms had a total annual revenue of over 134 billion U.S. dollars, up from 116 billion in 2022. LinkedIn reported its highest annual revenue to date, generating over 15 billion USD, whilst Snapchat reported an annual revenue of 4.6 billion USD.

During a 2025 survey among marketers worldwide, around 83 percent reported using Facebook for marketing purposes. Instagram and LinkedIn followed, respectively mentioned by 78 and 69 percent of the respondents. The global social media marketing segment According to the same study, 60 percent of responding marketers intended to increase their organic use of YouTube for marketing purposes throughout that year. LinkedIn and Instagram followed with similar shares, rounding up the top three social media platforms attracting a planned growth in organic use among global marketers in 2025. Their main driver is increasing brand exposure and traffic, which led the ranking of benefits of social media marketing worldwide. Social media for B2B marketing Social media platform adoption rates among business-to-consumer (B2C) and business-to-business (B2B) marketers vary according to each subsegment's focus. While B2C professionals prioritize Facebook and Instagram, both run by Meta, Inc., due to their popularity among online audiences, B2B marketers concentrate their endeavors on Microsoft-owned LinkedIn due to its goal to connect people and companies in a corporate context.

Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4M+ companies, and is updated regularly to ensure we have the most up-to-date information.

We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

Products: API Suite Web UI Full and Custom Data Feeds

Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

High Frequency Indicator: The dataset contains year- and month-wise compiled data from the year 2021 to till date on the number of social media accounts which have been deleted and suspended and the chatrooms, edit profiles, comments and livestreams banned, together with reasons such as child sexual abuse, terrorism, etc., by significant social media intermediaries (SSMIs) such as Sharechat, Snapchat, Twitter and WhatsApp. The data compiled is based on the monthly transparency reports published by SSMIs in accordance with Rule 4(1)(d) of the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021 (IT Rules, 2021)

Notes:

1. SSMI denotes to social media intermediary, with over 50,00,000 registered users in India, which primarily or solely enables online interaction between two or more users and allows them to create, upload, share, disseminate, modify or access information using its services

2. ShareChat enforces various bans spread across different time periods such as 360 days, 30 days, 7 days, 3 days, 1 day, hourly bans, together with other bans such as UGC, Edit Profile, Comment, Livstream, Chatroom bans, etc.

These datasets consist of qualitative data collected through semi-structured in-depth interviews as well as a focus group from three different companies with seven industry experts.The data collected was to address the use of social media to enhance organisational learning and also to address the gap that exists in terms of the integration of organisational learning (OL) and social media and also address the lack of guidelines for organisations that would like to implement the use of social media to facilitate OL. The data were triangulated by comparing the results from the three companies.

Problem Statement 👉 Download the case studies here A global consumer goods company struggled to understand customer sentiment across various social media platforms. With millions of posts, reviews, and comments generated daily, manually tracking and analyzing public opinion was inefficient. The company needed an automated solution to monitor brand perception, address negative feedback promptly, and leverage insights for marketing strategies. Challenge Analyzing social media sentiment posed… See the full description on the dataset page: https://huggingface.co/datasets/globosetechnology12/Sentiment-Analysis-for-Social-Media-Monitoring.

Snapshot img

Social Media Listening Market Size 2025-2029

The social media listening market size is forecast to increase by USD 4.87 billion at a CAGR of 8.9% between 2024 and 2029.

The market is experiencing significant growth, driven primarily by the increasing usage of social media platforms worldwide. With over 4.3 billion users as of 2021, social media has become a powerful tool for businesses to engage with their customers and gain valuable insights into consumer behavior and preferences. A key trend in this market is the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies in social media listening solutions, enabling more accurate and efficient data analysis. However, this market is not without challenges. Data privacy and regulatory compliance are becoming increasingly important, with stricter regulations being implemented to protect user data.
Companies must ensure they have strong data security measures in place to comply with these regulations and maintain consumer trust. Additionally, the vast amount of data generated on social media requires sophisticated analytics tools to extract meaningful insights. As such, businesses seeking to capitalize on the opportunities presented by the market must invest in advanced analytics solutions and prioritize data security and privacy. By doing so, they can effectively navigate the challenges and stay ahead of the competition.

What will be the Size of the Social Media Listening Market during the forecast period?

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Social media listening has emerged as a crucial business tool, enabling organizations to gain valuable insights from the vast amount of data generated through social media activity. This data is analyzed using techniques such as topic modeling and sentiment scoring to understand consumer behavior, preferences, and trends. Social media geographics and demographics provide essential context, while social media reach and volume measure the scope and impact of conversations. Social media pulse and sentiment reflect the current sentiment and buzz surrounding specific topics, offering real-time insights into market dynamics and trends.
Social media listening software is a vital component of the global market for social media analytics. Social media influence is assessed through the size and engagement of an audience, providing valuable information for marketing and brand management strategies. The social media landscape and heatmap offer a comprehensive view of the social media ecosystem, helping businesses stay informed and adapt to evolving patterns.

How is this Social Media Listening Industry segmented?

The social media listening industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Software
  Services


End-user

  Retail and e-commerce
  IT and telecom
  BFSI
  Media and entertainment
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa



  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The software segment is estimated to witness significant growth during the forecast period. This segment encompasses platforms and tools that offer real-time, automated, and scalable capabilities to monitor and analyze social media conversations across various channels such as Twitter, Facebook, Instagram, LinkedIn, TikTok, and Reddit. Real-time monitoring is a key feature of these solutions, empowering brands to identify mentions, trends, and sentiment as they emerge. By staying abreast of evolving topics, businesses can respond promptly to customer concerns, capitalize on viral events, and maintain a strong online presence. Artificial Intelligence (AI) and Machine Learning (ML) technologies are integral to social media listening software, enabling advanced topic identification, sentiment analysis, and trend recognition.

These technologies enable businesses to gain valuable customer insights, inform product development, and enhance customer experience. Social media listening platforms also offer data visualization and reporting features, allowing businesses to analyze and present their findings in a clear and actionable manner. Additionally, they provide social media dashboards, alerts, and governance tools to ensure compliance with social media policies and ethical standards. In summary, social media listening software plays a pivotal role in the global market for social media analytics, offering real-time insights and advanced capabilities to help businesses navigate the complex social media landscape and engage effectively with their audience.

Get a glance at the market report of share

The global number of Facebook users was forecast to continuously increase between 2023 and 2027 by in total 391 million users (+14.36 percent). After the fourth consecutive increasing year, the Facebook user base is estimated to reach 3.1 billion users and therefore a new peak in 2027. Notably, the number of Facebook users was continuously increasing over the past years. User figures, shown here regarding the platform Facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

Tweet Sentiment's Impact on Stock Returns

862,231 Labeled Instances

By [source]

About this dataset

This dataset contains 862,231 labeled tweets and associated stock returns, providing a comprehensive look into the impact of social media on company-level stock market performance. For each tweet, researchers have extracted data such as the date of the tweet and its associated stock symbol, along with metrics such as last price and various returns (1-day return, 2-day return, 3-day return, 7-day return). Also recorded are volatility scores for both 10 day intervals and 30 day intervals. Finally, sentiment scores from both Long Short - Term Memory (LSTM) and TextBlob models have been included to quantify the overall tone in which these messages were delivered. With this dataset you will be able to explore how tweets can affect a company's share prices both short term and long term by leveraging all of these data points for analysis!

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How to use the dataset

In order to use this dataset, users can utilize descriptive statistics such as histograms or regression techniques to establish relationships between tweet content & sentiment with corresponding stock return data points such as 1-day & 7-day returns measurements.

The primary fields used for analysis include Tweet Text (TWEET), Stock symbol (STOCK), Date (DATE), Closing Price at the time of Tweet (LAST_PRICE) a range of Volatility measures 10 day Volatility(VOLATILITY_10D)and 30 day Volatility(VOLATILITY_30D ) for each Stock which capture changes in market fluctuation during different periods around when Twitter reactions occur. Additionally Sentiment Polarity analysis undertaken via two Machine learning algorithms LSTM Polarity(LSTM_POLARITY)and Textblob polarity provide insight into whether people are expressing positive or negative sentiments about each company at given times which again could influence thereby potentially influence Stock Prices over shorter term periods like 1-Day Returns(1_DAY_RETURN),2-Day Returns(2_DAY_RETURN)or longer term horizon like 7 Day Returns*7DAY RETURNS*.Finally MENTION field indicates if names/acronyms associated with Companies were specifically mentioned in each Tweet or not which gives extra insight into whether company specific contexts were present within individual Tweets aka “Company Relevancy”

Research Ideas

• Analyzing the degree to which tweets can influence stock prices. By analyzing relationships between variables such as tweet sentiment and stock returns, correlations can be identified that could be used to inform investment decisions.
• Exploring natural language processing (NLP) models for predicting future market trends based on textual data such as tweets. Through testing and evaluating different text-based models using this dataset, better predictive models may emerge that can give investors advance warning of upcoming market shifts due to news or other events.
• Investigating the impact of different types of tweets (positive/negative, factual/opinionated) on stock prices over specific time frames. By studying correlations between the sentiment or nature of a tweet and its effect on stocks, insights may be gained into what sort of news or events have a greater impact on markets in general

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: reduced_dataset-release.csv | Column name | Description | |:----------------------|:-------------------------------------------------------------------------------------------------------| | TWEET | Text of the tweet. (String) | | STOCK | Company's stock mentioned in the tweet. (String) | | DATE | Date the tweet was posted. (Date) | | LAST_PRICE | Company's last price at the time of tweeting. (Float) ...

Snapshot img

Social Media Analytics Market Size 2025-2029

The social media analytics market size is forecast to increase by USD 21.2 billion, at a CAGR of 35.2% between 2024 and 2029.

The market is experiencing significant growth, driven by the expanding availability and complexity of social media data. Businesses increasingly recognize the value of social media insights to inform marketing strategies, enhance customer engagement, and gauge brand reputation. In response, social media platforms continue to roll out advanced targeting options, enabling more precise audience segmentation and personalized messaging. However, the surging use of social media data also presents challenges. Interpreting unstructured data from various sources remains a formidable task, requiring sophisticated analytics tools and expertise.
Companies must navigate these complexities to effectively harness the power of social media analytics and stay competitive in today's digital landscape. To succeed, organizations need to invest in advanced analytics solutions, cultivate data literacy skills, and establish clear data governance policies. By addressing these challenges, businesses can unlock valuable insights from social media data and capitalize on emerging opportunities in this dynamic market.

What will be the Size of the Social Media Analytics Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, offering valuable insights for businesses across various sectors. Hashtag tracking and sentiment classification help organizations understand public perception and engagement with their brand. Engagement metrics, share of voice, and trend analysis algorithms provide valuable data for brand reputation management and customer journey mapping. Social media ROI, influencer marketing metrics, and sentiment scoring offer insights into the effectiveness of advertising campaigns. User behavior patterns, predictive modeling, and anomaly detection enable businesses to anticipate trends and respond to crises in real-time. Social media listening, lead generation attribution, influencer identification, and customer satisfaction scores provide actionable insights for community management and crisis communication management.

Data visualization dashboards and social listening tools facilitate effective audience segmentation and conversational AI. Reach forecasting, content performance, keyword analysis, and campaign effectiveness metrics offer valuable insights for optimizing social media strategies. Platform-specific insights enable businesses to tailor their approach to each social media channel. According to recent market research, the market is expected to grow by over 15% annually, reflecting the increasing importance of social media data for businesses. For instance, a retail company used social media listening tools to monitor customer conversations and identified a trend in customer complaints about product packaging. The company responded by redesigning the packaging, resulting in a 12% increase in sales.

This example highlights the potential impact of social media analytics on business performance.

How is this Social Media Analytics Industry segmented?

The social media analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  Retail
  Government
  Media and entertainment
  Travel
  Others


Application

  Sales and marketing management
  Customer experience management
  Competitive intelligence
  Risk management
  Public safety and law enforcement


Deployment

  On-premises
  Cloud


Type

  Predictive analytics
  Prescriptive analytics
  Descriptive analytics
  Diagnostics analytics


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By End-user Insights

The retail segment is estimated to witness significant growth during the forecast period.

Social media analytics plays a pivotal role in retail marketing, enabling businesses to track and analyze customer engagement, sentiment, and trends in real-time. Tools such as hashtag tracking, sentiment classification, and engagement metrics help retailers understand their audience's preferences and behavior patterns. Share of voice and trend analysis algorithms provide insights into market dynamics and brand reputation management. Customer journey mapping and social media ROI measurement allow businesses to optimize their marketing strategies and improve sales. Influencer marketing metrics, sentiment scoring, and advertising campai

Unlock the power of ready-to-use data sourced from developer communities and repositories with Developer Community and Code Datasets.

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Developer Community and Code Datasets are a treasure trove of public data points gathered from tech communities and code repositories across the web.

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Korean Companies’ SNS Analytics Data provides important information to analyze consumer opinions and trends on social media. This data includes social media posts, comments, and likes. Collected from platforms such as Twitter, Facebook, and Instagram, it helps investors analyze consumer sentiment, evaluate brand awareness, and optimize marketing strategies, helping in the valuation of Korean companies based on their social media presence and consumer engagement.

The Social Media Analytics market is experiencing robust growth, projected to reach $6.00 billion in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 24% from 2019 to 2033. This expansion is fueled by several key drivers. The increasing reliance of businesses on social media for marketing, customer service, and brand building necessitates sophisticated analytics to understand audience engagement, sentiment, and campaign effectiveness. Further driving market growth is the proliferation of social media platforms themselves, generating ever-larger datasets demanding advanced analytical tools. The rise of artificial intelligence (AI) and machine learning (ML) within these tools enhances the speed and accuracy of insights, allowing businesses to react swiftly to emerging trends and opportunities. Competitive pressures also force companies to adopt these technologies to gain a decisive advantage in market understanding and responsiveness. While data privacy regulations present a restraint, the demand for actionable insights continues to outweigh these concerns, with sophisticated analytics tools incorporating privacy-preserving techniques. Segmentation within the market includes solutions catering to different business sizes and needs, from small and medium-sized enterprises (SMEs) to large multinational corporations. Major players like Sprinklr, Synthesio, BrandWatch, Oracle, NetBase Solutions, Meltwater, Talkwalker, Sprout Social, Digimind Social, and Brand24 are shaping the competitive landscape through continuous innovation and strategic acquisitions. The forecast period of 2025-2033 promises even more dynamic growth. As social media usage continues its upward trajectory and businesses become more sophisticated in their application of analytics, we can anticipate increased demand for more advanced features such as predictive analytics, real-time monitoring, and sentiment analysis across multiple languages. The integration of social media analytics with other data sources, such as CRM and website analytics, will further enhance its value, enabling a holistic view of customer behavior and business performance. We expect to see continued investment in research and development, leading to improvements in data visualization, reporting capabilities, and the development of niche solutions tailored to specific industries. The growing adoption of cloud-based solutions will also facilitate accessibility and scalability for businesses of all sizes. Recent developments include: In May 2022, TikTok expanded its Marketing Partners Program, introducing its inaugural group of Content Marketing Partners. The founding member is Brandwatch, and its social suite of the future, which would allow its customers to scale, manage, execute, and optimize the content on TikTok, all while staying within the Brandwatch platform. This officially badged partnership between Brandwatch and TikTok empowers Brandwatch clients to manage, understand, and respond to their community profiles on TikTok in a way that feels native to the world's hottest technology platform., In April 2022, Digimind collaborated with Facelift to give essential tools for effective social media growth. Facelift is a firm that provides social media management tools. This collaboration benefited both industries in monitoring their brand image and effectively managing all social networks.. Key drivers for this market are: Exponential Growth of Number of Social Media Users, Increased Emphasis on Target Marketing and Competitive Intelligence. Potential restraints include: Exponential Growth of Number of Social Media Users, Increased Emphasis on Target Marketing and Competitive Intelligence. Notable trends are: Increased Emphasis on Targeted Marketing and Competitive Intelligence.

The objective of this competition is to create a model to predict the number of retweets a tweet will get on Twitter. The data used to train the model will be approximately 2,400 tweets each from 38 major banks and mobile network operators across Africa.

A machine learning model to predict retweets would be valuable to any business that uses social media to share important information and messages to the public. This model can be used as a tool to help businesses better tailor their tweets to ensure maximum impact and outreach to clients and non-clients.

The data has been split into a test and training set.

train.json (zipped) is the dataset that you will use to train your model. This dataset includes about 2,400 consecutive tweets from each of the companies listed below, for a total of 96,562 tweets.

test_questions.json (zipped) is the dataset to which you will apply your model to test how well it performs. Use your model and this dataset to predict the number of retweets a tweet will receive. The test set are the consecutive tweets that followed the first tweets provided in the training sets. There are a maximum of 800 tweets per company in this test set. This dataset includes the same fields as train.json except for the retweet_count and favorite_count variables.

sample_submission.csv is a table to provide an example of what your submission file should look like.

Access Facebook company profiles from 48 European countries, enriched with global B2B firmographic data. This dataset offers a detailed view of businesses worldwide, including company name, industry classification, employee size, estimated revenue, headquarters location, and Facebook public URLs.

Designed for B2B sales teams, martech providers, recruiters, and market analysts, this dataset empowers precise targeting, segmentation, data enrichment, and research across any industry or region.

According to Cognitive Market Research, the global Social Media Monitoring Tools market Size will be USD 4854.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 1941.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1456.26 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.5% from 2024 to 2031.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 1116.47 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 242.71 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 97.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.7% from 2024 to 2031.
The Software/Platform category held the highest Social Media Monitoring Tools market revenue share in 2024.

Market Dynamics of Social Media Monitoring Tools Market

Key Drivers for Social Media Monitoring Tools Market

Growing cloud-based solution usage in enterprises to propel market growth

Cloud-based social media monitoring technologies provide scalable, adaptable, and affordable solutions for tracking, evaluating, and managing media material across several channels by utilizing cloud computing infrastructure. With the use of these systems, which track and analyze massive amounts of media information in real-time using sophisticated data processing, storage, and analytics capabilities, businesses may get useful insights into competition intelligence, market trends, and brand perception. Sentiment analysis, trend tracking, and influencer identification features are available in cloud-based media monitoring systems like Meltwater, Talkwalker, and Brandwatch. In light of this, the increasing acceptance of media monitoring tools to facilitate strategic decision-making and improve brand performance in the digital sphere is being driven by the expanding use of cloud-based solutions among organizations, which improve accessibility, cooperation, and scalability.

Increasing social media usage to propel market growth

The Social Media Monitoring Tools Market is expected to grow at an exponential rate due in large part to the rise in social media usage. In order to remain competitive, businesses must keep an eye on and analyze social media activities given the billions of users across platforms such as Facebook, Instagram, Twitter, and LinkedIn. With the use of these technologies, businesses can monitor industry trends, client feedback, and brand mentions instantly. There is a growing need for strong monitoring solutions as customers utilize social media more and more for reviews, recommendations, and conversations. Businesses may improve customer service, manage reputational issues, and improve marketing tactics with the help of this boom in social media interaction, which offers great data. This means that as more people use social media, the market for social media monitoring tools is expanding due to the technologies' increased usage and innovation.

Restraint Factor for the Social Media Monitoring Tools Market

Data security and privacy issues to hinder market growth

The market for social media monitoring tools is growing slowly due to concerns about data security and privacy. Adoption of these tools may be constrained by the complicated compliance requirements imposed by regulations such as the CCPA and GDPR. Concerning breaches and misuse, users become more cautious about the way their data is gathered, stored, and used. Social media monitoring tools need to have strong security measures in place to secure user data due to their gather and examine huge quantities of private and sensitive data. Some firms are discouraged from fully utilizing these tools due to the possibility of data breaches or penalties for noncompliance. In order to establish compliance, assure trust, and promote wider adoption and use of ...

Analysis of ‘Open Data 500 Companies’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/govlab/open-data-500-companies on 12 November 2021.

--- Dataset description provided by original source is as follows ---

Context

The Open Data 500, funded by the John S. and James L. Knight Foundation (http://www.knightfoundation.org/) and conducted by the GovLab, is the first comprehensive study of U.S. companies that use open government data to generate new business and develop new products and services.

Study Goals

• Provide a basis for assessing the economic value of government open data

• Encourage the development of new open data companies

• Foster a dialogue between government and business on how government data can be made more useful

The Govlab's Approach

The Open Data 500 study is conducted by the GovLab at New York University with funding from the John S. and James L. Knight Foundation. The GovLab works to improve people’s lives by changing how we govern, using technology-enabled solutions and a collaborative, networked approach. As part of its mission, the GovLab studies how institutions can publish the data they collect as open data so that businesses, organizations, and citizens can analyze and use this information.

Company Identification

The Open Data 500 team has compiled our list of companies through (1) outreach campaigns, (2) advice from experts and professional organizations, and (3) additional research.

Outreach Campaign

• Mass email to over 3,000 contacts in the GovLab network

• Mass email to over 2,000 contacts OpenDataNow.com

• Blog posts on TheGovLab.org and OpenDataNow.com

• Social media recommendations

• Media coverage of the Open Data 500

• Attending presentations and conferences

Expert Advice

• Recommendations from government and non-governmental organizations

• Guidance and feedback from Open Data 500 advisors

Research

• Companies identified for the book, Open Data Now

• Companies using datasets from Data.gov

• Directory of open data companies developed by Deloitte

• Online Open Data Userbase created by Socrata

• General research from publicly available sources

What The Study Is Not

The Open Data 500 is not a rating or ranking of companies. It covers companies of different sizes and categories, using various kinds of data.

The Open Data 500 is not a competition, but an attempt to give a broad, inclusive view of the field.

The Open Data 500 study also does not provide a random sample for definitive statistical analysis. Since this is the first thorough scan of companies in the field, it is not yet possible to determine the exact landscape of open data companies.

--- Original source retains full ownership of the source dataset ---

Social Media Analytics Market Outlook

The global social media analytics market size was valued at approximately USD 4.2 billion in 2023 and is projected to reach an estimated USD 16.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 16.2% during the forecast period. The growth of this market is driven by the increasing adoption of social media platforms by businesses and individuals, which has led to an exponential rise in data generation. This vast pool of data has created a fertile ground for businesses to leverage social media analytics to gain insightful understanding of customer behavior, preferences, and trends.

One of the primary growth factors for the social media analytics market is the increasing need for businesses to understand their customers better and make informed decisions. With the explosion of social media usage, companies now have access to a wealth of information that can help them tailor their marketing strategies, enhance customer engagement, and improve brand loyalty. Social media analytics tools enable businesses to track and analyze customer interactions, providing them with valuable insights that can drive business growth and innovation.

Another significant driver is the growing emphasis on competitive benchmarking and market intelligence. In today's highly competitive business environment, companies must constantly monitor and analyze their competitors' activities to stay ahead. Social media analytics tools provide businesses with the ability to track their competitors' social media presence, understand their strategies, and identify market trends. This information can be crucial for businesses to develop effective strategies and maintain a competitive edge in the market.

The rise of advanced technologies such as artificial intelligence (AI) and machine learning (ML) has also played a pivotal role in the growth of the social media analytics market. These technologies have enabled the development of sophisticated analytics tools that can process and analyze vast amounts of data in real-time. AI and ML-powered social media analytics tools can identify patterns, predict trends, and provide actionable insights, helping businesses make data-driven decisions and optimize their marketing efforts.

Social Media Management plays a crucial role in the effective utilization of social media analytics. As businesses increasingly rely on social media platforms to engage with their audience, the need for efficient management of these platforms becomes paramount. Social media management involves the strategic planning, execution, and monitoring of social media campaigns to ensure they align with business objectives. By integrating social media management with analytics, businesses can not only track performance metrics but also adjust their strategies in real-time to maximize engagement and reach. This synergy allows companies to foster stronger relationships with their audience, enhance brand visibility, and ultimately drive business growth.

Regionally, North America is expected to hold the largest share of the social media analytics market, followed by Europe and Asia Pacific. The high adoption rate of social media platforms, advanced technological infrastructure, and the presence of major market players in North America are some of the factors contributing to the region's dominance. Europe is also witnessing significant growth due to the increasing focus on data-driven decision-making and the adoption of advanced analytics tools. Meanwhile, the Asia Pacific region is expected to grow at the highest CAGR during the forecast period, driven by the rapid digitalization, increasing internet penetration, and the growing popularity of social media platforms in countries such as China and India.

Component Analysis

The social media analytics market is segmented into software and services based on components. The software segment is anticipated to dominate the market during the forecast period, driven by the increasing demand for advanced analytics tools that can provide comprehensive insights into social media interactions. Social media analytics software solutions are designed to collect, process, and analyze data from various social media platforms, enabling businesses to monitor brand performance, track customer sentiment, and identify emerging trends. The continuous advancements in AI and ML technologies are further enhancing the capabilities of these software solutions, making them more e