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.

Dataset: Sentiment Analysis for Social Media Posts in Arabic Dialect

Overview

This dataset contains a labeled collection of approximately 50,000 social media posts in various Arabic dialects. Each post has been manually annotated with sentiment labels, providing a rich resource for natural language processing and sentiment analysis research.

Dataset Owner

UM6P College of Computing

Content

• Posts: The dataset includes raw text data of social media posts written in different Arabic dialects.
• Sentiment Labels: Each post is labeled with one of the following sentiment categories:
  • Positive
  • Negative
  • Neutral

Features

• Post ID: A unique identifier for each social media post.
• Text: The content of the social media post in Arabic.
• Sentiment: The sentiment label assigned to the post (Positive, Negative, Neutral).

Format

The dataset is provided in a CSV format with the following columns: - Post_ID: Integer - Text: String - Sentiment: String (Positive, Negative, Neutral)

Usage

This dataset is ideal for tasks such as: - Training sentiment analysis models - Studying sentiment trends in Arabic social media - Exploring the linguistic characteristics of Arabic dialects - Benchmarking sentiment analysis tools

Example Data

Licensing

Please refer to the dataset license included in the dataset files for information on usage rights and restrictions.

Citation

An open access NLP dataset for Arabic dialects: data collection, labeling, and model construction, Elmehdi Boujou, Hamza Chataoui, Abdellah El Mekki, Saad Benjelloun, Ikram Chairi and Ismail Berrada MENACIS 2020 conference, In press.

Instagram data-download example dataset

In this repository you can find a data-set consisting of 11 personal Instagram archives, or Data-Download Packages (DDPs).

How the data was generated

These Instagram accounts were all new and generated by a group of researchers who were interested to figure out in detail
the structure and variety in structure of these Instagram DDPs. The participants user the Instagram account extensively for approximately a week. The participants also intensively communicated with each other so that the data can be used as an example of a network.

The data was primarily generated to evaluate the performance of de-identification software. Therefore, the text in the DDPs particularly contain many randomly chosen (Dutch) first names, phone numbers, e-mail addresses and URLS. In addition, the images in the DDPs contain many faces and text as well. The DDPs contain faces and text (usernames) of third parties. However, only content of so-called `professional accounts' are shared, such as accounts of famous individuals or institutions who self-consciously and actively seek publicity, and these sources are easily publicly available. Furthermore, the DDPs do not contain sensitive personal data of these individuals.

Obtaining your Instagram DDP

After using the Instagram accounts intensively for approximately a week, the participants requested their personal Instagram DDPs by using the following steps. You can follow these steps yourself if you are interested in your personal Instagram DDP.

1. Go to www.instagram.com and log in
2. Click on your profile picture, go to *Settings* and *Privacy and Security*
3. Scroll to *Data download* and click *Request download*
4. Enter your email adress and click *Next*
5. Enter your password and click *Request download*

Instagram then delivered the data in a compressed zip folder with the format **username_YYYYMMDD.zip** (i.e., Instagram handle and date of download) to the participant, and the participants shared these DDPs with us.

Data cleaning

To comply with the Instagram user agreement, participants shared their full name, phone number and e-mail address. In addition, Instagram logged the i.p. addresses the participant used during their active period on Instagram. After colleting the DDPs, we manually replaced such information with random replacements such that the DDps shared here do not contain any personal data of the participants.

How this data-set can be used

This data-set was generated with the intention to evaluate the performance of the de-identification software. We invite other researchers to use this data-set for example to investigate what type of data can be found in Instagram DDPs or to investigate the structure of Instagram DDPs. The packages can also be used for example data-analyses, although no substantive research questions can be answered using this data as the data does not reflect how research subjects behave `in the wild'.

Authors

The data collection is executed by Laura Boeschoten, Ruben van den Goorbergh and Daniel Oberski of Utrecht University. For questions, please contact l.boeschoten@uu.nl.

Acknowledgments

The researchers would like to thank everyone who participated in this data-generation project.

Facebook received 73,390 user data requests from federal agencies and courts in the United States during the second half of 2023. The social network produced some user data in 88.84 percent of requests from U.S. federal authorities. The United States accounts for the largest share of Facebook user data requests worldwide.

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.

Market leader Facebook was the first social network to surpass one billion registered accounts and currently sits at more than three billion monthly active users. Meta Platforms owns four of the biggest social media platforms, all with more than one billion monthly active users each: Facebook (core platform), WhatsApp, Facebook Messenger, and Instagram. In the third quarter of 2023, Facebook reported around four billion monthly core Family product users. The United States and China account for the most high-profile social platforms Most top ranked social networks with more than 100 million users originated in the United States, but services like Chinese social networks WeChat, QQ or video sharing app Douyin have also garnered mainstream appeal in their respective regions due to local context and content. Douyin’s popularity has led to the platform releasing an international version of its network: a little app called TikTok. How many people use social media? The leading social networks are usually available in multiple languages and enable users to connect with friends or people across geographical, political, or economic borders. In 2025, social networking sites are estimated to reach 5.42 billion users and these figures are still expected to grow as mobile device usage and mobile social networks increasingly gain traction in previously underserved markets.

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?

Request Free Sample

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

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.
Request Free Sample

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

Facebook is fast approaching 3 billion monthly active users. That’s about 36% of the world’s entire population that log in and use Facebook at least once a month.

Companies of all sizes seek out influencer collaborations that can provide a lasting ROI. Check out some of the brands that use our platform to manage the full life cycle of their influencer marketing campaigns.

We know that contact records are at the heart of every influencer database. That's why we introduced custom properties to reflect the unique needs of your influencer data.

• 10M+ Influencers • Get the Look Your Brand Is After • Increase Audience Size and Demographics • Gain Insights for a Stronger Campaign • Effectively track and measure the impact of your campaigns

The purpose of the dataset is to enable the replication of results as reported in the article: Bonsaksen, T., Price, D., Lamph, G., Kabelenga, I., & Geirdal, A. Ø. (2025). Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study. PLOS ONE 20(1): e0318507. https://doi.org/10.1371/journal.pone.0318507. The data on sleep problems, psychosocial stress and social media use is uploaded as an SPSS file. Additional information to facilitate using the data can be found in the ReadMe file. The article aimed to explore the relationship between social media use and sleep problems in a cross-national sample two years after the pandemic began. It involved 1405 adults from four countries who completed an online survey. Statistical analyses included independent samples t-tests, Chi-Squared tests, and logistic regression. Among the 858 participants (61.1%) who reported recent sleep problems, 41.1% (353 individuals) attributed these issues to their COVID-19 experiences. Adjusting for age, gender, employment, and psychological distress showed that more hours of social media use were not significantly linked to sleep problems. However, being older, female, employed, and experiencing higher psychological distress were associated with more sleep issues.

This spreadsheet contains a collection of over 230 data visualisations about public finances from media organisations, journalists, civil society organisations, advocacy groups, civic hackers, companies and public institutions. In order to build the collection I started with a collection of projects derived from another study mapping “open budget data” on digital media (Gray, 2015). Over 65% of the 120 fiscal data projects identified through the study used visualisations to present information about public finances. Examples were also incorporated from other lists, including relevant items from a database of 466 projects from The Guardian and the New York Times from between 2000 and 2015 (Rooze, 2015), as well as from expert data visualisation blogs such as Infosthetics and Visual Complexity. Further examples were solicited from expert mailing lists, forums and targeted outreach via email and social media. Analyses of the data visualisations are forthcoming in several publications. The collection will continue to be updated periodically. If you have suggestions for projects to add, please get in touch: http://jonathangray.org/contact/

References Gray, J. (2015) "Open Budget Data: Mapping the Landscape". Available at: http://dx.doi.org/10.2139/ssrn.2654878Rooze, M. (2015) "News Graphics Collection". Available at: http://collection.marijerooze.nl/

Cristiano Ronaldo has one of the most popular Instagram accounts as of April 2024.

              The Portuguese footballer is the most-followed person on the photo sharing app platform with 628 million followers. Instagram's own account was ranked first with roughly 672 million followers.

              How popular is Instagram?

              Instagram is a photo-sharing social networking service that enables users to take pictures and edit them with filters. The platform allows users to post and share their images online and directly with their friends and followers on the social network. The cross-platform app reached one billion monthly active users in mid-2018. In 2020, there were over 114 million Instagram users in the United States and experts project this figure to surpass 127 million users in 2023.

              Who uses Instagram?

              Instagram audiences are predominantly young – recent data states that almost 60 percent of U.S. Instagram users are aged 34 years or younger. Fall 2020 data reveals that Instagram is also one of the most popular social media for teens and one of the social networks with the biggest reach among teens in the United States.

              Celebrity influencers on Instagram
              Many celebrities and athletes are brand spokespeople and generate additional income with social media advertising and sponsored content. Unsurprisingly, Ronaldo ranked first again, as the average media value of one of his Instagram posts was 985,441 U.S. dollars.

This is the data base for the paper called 'Problematic social media use: Results from a large-scale nationally representative adolescent sample' submitted in PlosONE.

Dataset Info:

MyDigitalFootprint (MDF) is a novel large-scale dataset composed of smartphone embedded sensors data, physical proximity information, and Online Social Networks interactions aimed at supporting multimodal context-recognition and social relationships modelling in mobile environments. The dataset includes two months of measurements and information collected from the personal mobile devices of 31 volunteer users by following the in-the-wild data collection approach: the data has been collected in the users' natural environment, without limiting their usual behaviour. Existing public datasets generally consist of a limited set of context data, aimed at optimising specific application domains (human activity recognition is the most common example). On the contrary, the dataset contains a comprehensive set of information describing the user context in the mobile environment.

The complete analysis of the data contained in MDF has been presented in the following publication:

https://www.sciencedirect.com/science/article/abs/pii/S1574119220301383?via%3Dihub

The full anonymised dataset is contained in the folder MDF. Moreover, in order to demonstrate the efficacy of MDF, there are three proof of concept context-aware applications based on different machine learning tasks:

1. A social link prediction algorithm based on physical proximity data,
2. The recognition of daily-life activities based on smartphone-embedded sensors data,
3. A pervasive context-aware recommender system.

For the sake of reproducibility, the data used to evaluate the proof-of-concept applications are contained in the folders link-prediction, context-recognition, and cars, respectively.

Snapshot img

Social Media Management Software Market Size 2025-2029

The social media management software market size is forecast to increase by USD 54.98 billion, at a CAGR of 24.9% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing number of users on social media platforms. With billions of active social media users worldwide, businesses are recognizing the need for efficient and effective social media management solutions. A key trend in this market is the integration of advanced analytics capabilities into social media management software. This enables businesses to gain valuable insights into consumer behavior, preferences, and trends, informing data-driven marketing strategies. However, the high price point of application software poses a challenge for smaller businesses and startups, limiting their access to these tools.
To capitalize on market opportunities, companies must focus on offering competitive pricing and flexible pricing models. Additionally, continuous innovation in analytics capabilities and user-friendly interfaces will be essential to meet the evolving needs of businesses in the digital age.

What will be the Size of the Social Media Management Software 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.
Request Free Sample

The social media management market continues to evolve, with dynamic trends shaping its landscape. Integration of social media APIs facilitates seamless data flow between platforms and other business systems. Social media crowdsourcing harnesses user-generated content for marketing initiatives, while gamification adds an engaging element to brand interactions. Social media optimization ensures content is tailored for each platform, enhancing reach and engagement. Auditing tools assess performance, identifying areas for improvement. Monitoring solutions track brand mentions and sentiment analysis provides valuable customer insights.

Social media strategy is crucial, balancing automation and human intervention for effective community management. Reporting and analytics offer ROI measurements, while advertising targets specific demographics. Contests and sweepstakes foster engagement, with compliance a key consideration. Partnerships and storytelling expand reach, aligning with emerging trends. Continuous innovation characterizes this market, as businesses adapt to evolving consumer behaviors and platform features.

How is this Social Media Management Software Industry segmented?

The social media management software 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 and consumer goods
  Healthcare and life sciences
  IT and telecom
  Government and public sector
  Others


Deployment

  Cloud-based
  On-premises


Sector

  Large enterprises
  Small and medium sized enterprises


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

By End-user Insights

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

Social media integration is a crucial aspect of modern business strategies, enabling seamless communication between various platforms and retail systems. Measuring social media performance through analytics and reporting tools is essential for understanding engagement levels, sentiment analysis, and reach. Social media management solutions facilitate scheduling, automation, and monitoring of multiple accounts, ensuring consistent brand messaging and community management. Social media platforms themselves offer various features for contests, giveaways, and sweepstakes to boost engagement and reach. Social media advertising provides targeted campaigns to reach specific audiences, while optimization and auditing tools help improve performance. Listening and responding to customer feedback through social media is vital for maintaining positive brand reputation and customer loyalty.

Social media marketing strategies focus on storytelling, partnerships, and trends to create immersive and harmonious brand experiences. Sentiment analysis and engagement metrics help brands understand their audience's preferences and tailor their messaging accordingly. Social media contests, gamification, and crowdsourcing foster a sense of community and encourage user-generated content. Social media optimization and compliance are essential for maintaining brand integrity and adhering to industry regulations. Social media trends continuously evolve, making it necessary for businesses to sta

Snapshot img

Social Networking Market Size 2025-2029

The social networking market size is forecast to increase by USD 312.3 billion, at a CAGR of 21.6% between 2024 and 2029.

Major Market Trends & Insights

North America dominated the market and accounted for a 41% growth during the forecast period.
By the Type - Advertising segment was valued at USD 80.70 billion in 2023
By the Distribution Channel - Google segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 318.56 billion
Market Future Opportunities: USD 312.30 billion 
CAGR : 21.6%
North America: Largest market in 2023

Market Summary

The market continues to expand its reach and influence across various industries, with businesses recognizing its potential for customer engagement and brand awareness. According to recent studies, there are approximately 4.66 billion active social media users worldwide, representing a 13% increase from 2020. This growth is driven by the increased internet penetration and the popularity of social media platforms for personal and professional use. Social media advertisements have become a significant revenue source, with businesses investing heavily in targeted campaigns to reach their audiences.
However, privacy concerns remain a challenge, with users increasingly cautious about sharing personal information online. Despite this, the market's continuous evolution and the emergence of new trends, such as live streaming and virtual events, ensure its ongoing relevance and importance for businesses.

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

Explore market size, adoption trends, and growth potential for social networking market Request Free Sample

The market exhibits consistent growth, with current usage accounting for approximately 3.6 billion users worldwide, representing a significant 4.5% increase year-over-year. Looking ahead, industry experts anticipate a continued expansion, with projections indicating a 5.2% annual growth rate. Notably, mobile devices account for over 90% of social media usage, underscoring the importance of optimizing platforms for this medium. Furthermore, businesses increasingly leverage social networking for marketing purposes, with advertising revenue reaching an estimated USD 84.3 billion in 2021. In comparison, the time spent on social media platforms per day has risen by 45 minutes since 2019, highlighting the growing influence of these channels on consumer behavior.
This trend is further accentuated by the integration of advanced features, such as live streaming, video content, and AI-driven recommendations, which enhance user engagement and monetization opportunities.

How is this Social Networking Industry segmented?

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

Type

  Advertising
  In-app purchase
  Paid apps


Distribution Channel

  Google
  Apple
  App Store Distribution


Service

  Communication
  Entertainment
  Socialization
  Marketing
  Customer service


Platform

  Website-based
  Mobile apps
  Hybrid platforms


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    Spain
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

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

In the dynamic and evolving landscape of digital communication, the market continues to expand, driven by innovative technologies and user engagement. According to recent data, social networking platforms accounted for approximately 30% of the total time spent online in 2021, reflecting a significant 15% increase from the previous year. Furthermore, industry experts anticipate that social media usage will continue to grow, with an estimated 25% of the global population expected to use social media by 2025. Content moderation systems play a crucial role in ensuring a safe and inclusive online environment. These systems employ advanced techniques, such as natural language processing, conversational AI, and machine learning models, to filter out inappropriate content and maintain platform governance.

User engagement metrics, including time spent on platforms, user-generated content, and social interaction dynamics, are closely monitored to optimize user experience and foster community building strategies. Platform scalability and network security protocols are essential for accommodating the increasing user base and data privacy regulations. Spam filtering techniques and link pred

This dataset is designed to explore multistreaming social media video as a research method used to collect semi-structured interview data. The data are provided by Dr Karen E. Sutherland and Ms Krisztina Morris from the School of Business and Creative Industries at the University of the Sunshine Coast in Queensland, Australia. The dataset is drawn from the publicly available video recording of an interview undertaken as part of the research project called: ‘Like, Share, Follow’, a multistreaming show, featuring Dr Sutherland interviewing university graduates about their career journeys, that is broadcast across Facebook, LinkedIn, and Twitter and later uploaded to YouTube. This dataset examines how multistreaming video interview data can be used to answer research questions and the benefits and challenges this specific method of data collection can pose in the process of data analysis. The video example is accompanied by a teaching guide and a student guide.

The global social media platforms market is a dynamic and rapidly evolving landscape, exhibiting substantial growth potential. While precise figures for market size and CAGR are unavailable, industry analyses suggest a multi-billion dollar market with a healthy compound annual growth rate (CAGR) – let's conservatively estimate this at around 15% annually over the forecast period (2025-2033). This growth is fueled by several key drivers: increasing smartphone penetration and internet access globally, particularly in emerging markets; the escalating adoption of short-form video content; the rise of social commerce, integrating shopping directly into platforms; and ongoing innovation in features like augmented reality (AR) and virtual reality (VR) integration. The market is segmented by platform type (e.g., image-sharing, microblogging, professional networking), user demographics, and geographic regions. Leading players like Facebook, Instagram, Twitter, LinkedIn, and TikTok (implicitly included given its prominence) actively compete for market share through continuous feature enhancements and strategic acquisitions. However, several restraining factors temper this growth. Concerns about data privacy and security remain paramount, leading to stricter regulations and user hesitancy. The spread of misinformation and harmful content on these platforms poses ongoing challenges for content moderation and platform responsibility. Furthermore, competition is fierce, with smaller platforms constantly emerging and vying for user attention, while established platforms struggle to maintain engagement and combat user fatigue. To navigate these challenges, platforms are focusing on improving user experience, prioritizing content safety, and diversifying revenue streams beyond advertising, for example, through subscriptions and premium services. The future trajectory of the market will depend on the successful navigation of these challenges and continuous adaptation to evolving user preferences and technological advancements.

The database includes three datasets. All of them were extracted from a dataset published by X (Twitter Transparency Websites) that includes tweets from malicious accounts trying to manipulate public opinion in the Kingdom of Saudi Arabia. Although the propagandist tweets were published by malicious accounts, as X (Twitter) stated, the tweets at their level were not classified as propaganda or not. Propagandists usually mix propaganda and non-propaganda tweets in an attempt to hide their identities. Therefore, it was necessary to classify their tweets as propaganda or not, based on the propaganda technique used. Since the datasets are very large, we annotated a sample of 2,100 tweets. The datasets are made up of 16,355,558 tweets from propagandist users focused on sports and banking topics.