Among the most popular social media platforms, Instagram is the one that consumers use the most when searching for products to purchase, according to a 2025 survey carried out in Brazil. Around 75 percent of shoppers use the platform for this purpose, followed by 47 percent who use Youtube. Facebook came in third with a little over 30 percent.

The social media search engine market is experiencing robust growth, driven by the increasing penetration of social media platforms and the evolving user behavior of searching for information within these platforms. The market size in 2025 is estimated at $15 billion, reflecting a compound annual growth rate (CAGR) of 15% from 2019 to 2025. This growth is fueled by several key factors. Firstly, the sheer volume of user-generated content on platforms like Facebook, Twitter, and Instagram creates an enormous index of information that users actively seek. Secondly, advancements in natural language processing (NLP) and artificial intelligence (AI) are enhancing the search capabilities of these platforms, delivering more relevant and personalized results. Thirdly, the increasing integration of e-commerce functionalities within social media platforms further drives the demand for effective search tools. This allows users to seamlessly discover and purchase products directly within their preferred social media environment. Segment-wise, business users are expected to drive significant growth due to enhanced marketing and advertising opportunities through targeted search results. The dominance of word search currently outweighs image and video search; however, the latter two are projected to gain substantial traction in the coming years fueled by the rise of short-form video content and visually driven platforms like TikTok and Instagram. Geographical growth is projected to be highest in the Asia-Pacific region, driven by the massive user base and increasing smartphone penetration across countries like India and China. While the market faces challenges such as data privacy concerns and algorithm manipulation, the overall growth trajectory remains positive, with continued innovation in search technologies and increasing user dependence on social media platforms. The forecast period of 2025-2033 anticipates a sustained high growth rate, driven by continuous technological advancements and an expanding social media landscape.

During a survey among internet users worldwide during the third quarter of 2024, an average of **** percent of global respondents said they used social media platforms to conduct research on brands. The top three markets with the highest share of internet users using social media for brand research were all African: Nigeria, Morocco, and Ghana all recorded shares above ** percent.

The social media search engine market is experiencing robust growth, driven by the increasing reliance on social platforms for information gathering and the evolution of sophisticated search algorithms within these platforms. The market, while difficult to precisely quantify due to the interwoven nature of search functionality within social media platforms (many don't offer dedicated search engines), is estimated to be valued at approximately $50 billion in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors: the expanding user base of social media platforms, the increasing sophistication of social media search algorithms (better understanding of natural language queries and visual search capabilities), and the rise of social commerce, which intrinsically relies on effective search within social networks to discover products and services. The dominance of established platforms like Google, Facebook, and YouTube in this space is undeniable, but emerging platforms and innovative search functionalities continue to challenge the status quo. Segmentation reveals strong growth in both individual and business user applications, with video search showing particularly strong potential given the visual nature of many social media platforms. However, the market also faces restraints. Data privacy concerns are paramount, leading to regulatory scrutiny and evolving user expectations about how their data is used. Algorithm transparency and the potential for biased or manipulated search results also pose challenges for sustainable growth. Furthermore, competition is fierce, with established players constantly innovating and new entrants vying for market share. The ability to effectively monetize social media search, whilst balancing user experience and privacy, remains a critical factor shaping the industry's trajectory. Looking forward, we expect to see continued investment in AI-powered search technologies, increased integration of social search with e-commerce platforms, and a greater focus on personalized and contextual search experiences tailored to individual user preferences. This will require navigating the delicate balance between delivering relevant results, ensuring user privacy, and avoiding the spread of misinformation.

This dataset provides comprehensive social media profile links discovered through real-time web search. It includes profiles from major social networks like Facebook, TikTok, Instagram, Twitter, LinkedIn, Youtube, Pinterest, Github and more. The data is gathered through intelligent search algorithms and pattern matching. Users can leverage this dataset for social media research, influencer discovery, social presence analysis, and social media marketing. The API enables efficient discovery of social profiles across multiple platforms. The dataset is delivered in a JSON format via REST API.

In 2023, ** percent of respondents said they used Instagram to view official university accounts while researching colleges. ** percent also said they used Instagram to search for students at a university during their college search.

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.

This industry includes social networking website publishers and developers. The industry does not include companies that predominantly develop blogs, games, internet content, messaging services, online dating websites, online recruitment websites, online forums and online videos.

The social media search engine market is experiencing robust growth, driven by the increasing reliance on social platforms for information gathering and the evolution of sophisticated search algorithms within these platforms. The market size in 2025 is estimated at $15 billion, considering the overall digital advertising market size and the significant portion allocated to social media. A Compound Annual Growth Rate (CAGR) of 15% is projected for the period 2025-2033, indicating a substantial expansion of this sector. Key drivers include the rising user base of social media platforms, increased integration of search functionalities within these platforms, and the growing demand for targeted advertising on social media. Furthermore, the continuous development of AI-powered search algorithms promises enhanced user experience and increased effectiveness of advertising. While data privacy concerns and the evolving regulatory landscape pose potential restraints, the market's growth trajectory remains positive. Segmentation by application (individual vs. business users) and search type (word, image, video) provides valuable insights into specific market opportunities. Business users are expected to drive a significant portion of the market growth owing to increased reliance on social media for market research, brand monitoring, and targeted advertising campaigns. The competitive landscape is highly concentrated, with established players like Google, Facebook, and others holding substantial market share. However, the emergence of new, specialized social media search engines, particularly those focusing on niche areas like video or image search, presents opportunities for disruptive innovation. Geographic analysis reveals significant variations in market penetration. North America and Europe are expected to maintain substantial market dominance in the near term, though rapid growth is anticipated in Asia Pacific regions like India and China due to their expanding internet and social media penetration. The focus on optimizing user experience through personalized search results and improved relevance is expected to remain a key differentiator in this increasingly competitive landscape. The incorporation of advanced analytics and data visualization tools is also driving market growth, facilitating effective marketing campaigns and deeper consumer insights.

According to a survey released in May 2023, B2B marketers considered Facebook the social media channel with the highest return on investment (ROI). The platform was mentioned by 22 percent of respondents. Instagram, TikTok and YouTube tied in second, each cited by 16 percent of the respondents.

The Social Media Search Engine market size was valued at USD XXX million in 2025 and is projected to reach USD XXX million by 2033, exhibiting a CAGR of XX% during the forecast period. Growing internet penetration and the increasing adoption of social media platforms are the key drivers of market growth. Moreover, the rising trend of personalized search experiences and the integration of artificial intelligence (AI) and machine learning (ML) technologies are expected to fuel market expansion in the coming years. The market for Social Media Search Engine is segmented by type and application. Based on type, the market is categorized into Word Search, Image Search, and Video Search. Among these, the Word Search segment holds the largest market share due to its wide usage in various applications. Based on application, the market is divided into Individual Users and Business Users. The Individual Users segment currently dominates the market, driven by the increasing use of social media platforms for personal and entertainment purposes. However, the Business Users segment is anticipated to witness significant growth in the future as more businesses recognize the potential of social media for marketing and customer engagement. Social media search engines are online tools that allow users to search for and discover content across social media platforms. These engines use advanced algorithms to crawl and index social media data, making it easier for users to find relevant information, connect with others, and engage with brands.

Data and figures for paper published in PLOS ONE Abstract. A number of new metrics based on social media platforms—grouped under the term “altmetrics”—have recently been introduced as potential indicators of research impact. Despite their current popularity, there is a lack of information regarding the determinants of these metrics. Using publication and citation data from 1.3 million papers published in 2012 and covered in Thomson Reuters’ Web of Science as well as social media counts from Altmetric.com, this paper analyses the main patterns of five social media metrics as a function of document characteristics (i.e., discipline, document type, title length, number of pages and references) and collaborative practices and compares them to patterns known for citations. Results show that the presence of papers on social media is low, with 21.5% of papers receiving at least one tweet, 4.7% being shared on Facebook, 1.9% mentioned on blogs, 0.8% found on Google+ and 0.7% discussed in mainstream media. By contrast, 66.8% of papers have received at least one citation. Our findings show that both citations and social media metrics increase with the extent of collaboration and the length of the references list. On the other hand, while editorials and news items are seldom cited, it is these types of document that are the most popular on Twitter. Similarly, while longer papers typically attract more citations, an opposite trend is seen on social media platforms. Finally, contrary to what is observed for citations, it is papers in the Social Sciences and humanities that are the most often found on social media platforms. On the whole, these findings suggest that factors driving social media and citations are different. Therefore, social media metrics cannot actually be seen as alternatives to citations; at most, they may function as complements to other type of indicators.

The FSA Communications team tracked online and social data streams for pre-determined search topics, to capture data sets.

Introduction: Social media has become an integrated part of daily life, with an estimated 3 billion social media users worldwide. Adolescents and young adults are the most active users of social media. Research on social media has grown rapidly, with the potential association of social media use and mental health and well-being becoming a polarized and much-studied subject. The current body of knowledge on this theme is complex and difficult-to-follow. The current paper presents a scoping review of the published literature in the research field of social media use and its association with mental health and well-being among adolescents.Methods and Analysis: First, relevant databases were searched for eligible studies with a vast range of relevant search terms for social media use and mental health and well-being over the past five years. Identified studies were screened thoroughly and included or excluded based on prior established criteria. Data from the included studies were extracted and summarized according to the previously published study protocol.Results: Among the 79 studies that met our inclusion criteria, the vast majority (94%) were quantitative, with a cross-sectional design (57%) being the most common study design. Several studies focused on different aspects of mental health, with depression (29%) being the most studied aspect. Almost half of the included studies focused on use of non-specified social network sites (43%). Of specified social media, Facebook (39%) was the most studied social network site. The most used approach to measuring social media use was frequency and duration (56%). Participants of both genders were included in most studies (92%) but seldom examined as an explanatory variable. 77% of the included studies had social media use as the independent variable.Conclusion: The findings from the current scoping review revealed that about 3/4 of the included studies focused on social media and some aspect of pathology. Focus on the potential association between social media use and positive outcomes seems to be rarer in the current literature. Amongst the included studies, few separated between different forms of (inter)actions on social media, which are likely to be differentially associated with mental health and well-being outcomes.

Social Media Management Market is projected to grow at a CAGR of around 26.41% during the forecast period 2023-28, says MarkNtel Advisors. (Leading Companies - Adobe Inc., Clarabridge, Digimind, Falcon.io ApS, Google LLC, Hootsuite, HubSpot, IBM, Khoros, Lithium Technologies, Meltwater, and Salesforce, Inc.)

Web3 Social Media Platforms Market is estimated to reach USD 471 Bn By 2034, Riding on a Strong 51.9% CAGR throughout the forecast period.

Global Social Media Advertising market was valued at USD 374.01billion in 2024 and is expected to grow to USD 468.91 billion by 2030 with a CAGR of 3.90% during the forecast period

The Social Media Platforms market has evolved into a pivotal segment of the global digital economy, fundamentally altering how individuals and businesses communicate, share, and connect. In today's hyper-connected world, social media platforms serve as essential tools for marketing, brand awareness, and consumer eng

The research project, SPARTA (Social Media Analysis for Everyone), funded by dtec.bw (which is funded by the European Union – NextGenerationEU), monitors the 2025 German federal election live as it unfolds on TikTok, YouTube and X/Twitter. Since November 7, 2024, the day the "traffic light" coalition collapsed, we have been collecting and analyzing all German-language posts and reposts on X (formerly Twitter) related to the federal elections. Simultaneously, we gather data from TikTok and YouTube, focusing on the accounts of political parties, including those of candidates and current members of the Bundestag, during the same period. Our analysis includes, among other things, the stances expressed towards political parties and leading candidates, the most discussed issues and hashtags, the outreach of political parties across different platforms, the visibility of female candidates, the occurrence of negative campaigning, the rise of toxic language, and the activity of various actors across platforms. We publish the results in real time on our publicly accessible dashboard (https://dtecbw.de/sparta/), which provides interactive and customizable graphics, making it relevant to a broad audience from politics, academia, journalism, and society. To facilitate real-time analysis of the election campaign, we compiled a dataset based on the data of the federal election officer (Bundeswahlleiterin), containing the TikTok, YouTube and X/Twitter handles of all candidates running for a seat in the parliament. This dataset includes the handles as well as additional information about the candidates from eight political parties: AfD, BSW, Buendnis 90/Die Gruenen, CDU, CSU, Die Linke, FDP and SPD.

The FSA Communications team tracked online and social data streams for pre-determined search topics, to capture data sets.