During a 2022 survey carried out in the United States, it was found that Facebook was the most popular social network among healthcare marketers – ** percent of respondents had an active account on the platform at the time of the survey. YouTube and Instagram followed, with ** percent and ** percent, respectively.

In 2023, around half of U.S. adults surveyed mentioned that they have at least a little trust in health information they saw on YouTube, while **** in *** say the same about Facebook. Overall, very few adults indicated that they have a high level of trust in health information reported by selected social media platforms.

Introduction

Social Media Mental Health Statistics: Social media has many uses, but it often causes the most harm to younger users. Teens face significant mental health issues due to social media, and the COVID-19 pandemic made things worse by increasing screen time and social media use. This created more opportunities for teens to encounter online problems, worsening the situation.

Teens also use social media to find communities and interest groups, watch live streams, and support good causes. It’s important to US teens that they feel welcome and safe online. Despite some problems, social media offers many chances for connection and entertainment. We shall shed more light on the Social Media Mental Health Statistics through this article.

The global healthcare social media market size is projected to reach USD 33.2 billion by 2033, growing at a compound annual growth rate (CAGR) of 17.9% from 2025 to 2033. The market is driven by increasing adoption of social media platforms in healthcare, rising demand for real-time information and support, and growing awareness about the benefits of social media for healthcare professionals and patients. Factors contributing to market growth include the increasing use of social media by healthcare professionals to connect with patients, share information, and provide support; rising demand for real-time information and support, especially during emergencies; and growing awareness of the benefits of social media for healthcare professionals and patients, such as improved communication, increased patient engagement, and enhanced collaboration. However, concerns related to data security and privacy, as well as the potential for misinformation and cyberbullying, may restrain market growth to some extent.

Between July and November 2020, the healthcare and pharmaceutical industry in the United States spent ***** million U.S. dollars on Facebook advertising. Instagram followed, with ***** million dollars in ad investments at that time.

Introduction

Global Big Data in Healthcare Market size is expected to be worth around USD 145.8 Billion by 2033 from USD 42.2 Billion in 2023, growing at a CAGR of 13.2% during the forecast period from 2024 to 2033.

Big data in healthcare encompasses vast amounts of diverse, unstructured data sourced from medical journals, biometric sensors, electronic medical records (EMRs), Internet of Medical Things (IoMT), social media platforms, payer records, omics research, and data repositories. Integrating this unstructured data into traditional systems presents considerable challenges, primarily in data structuring and standardization. Effective data structuring is essential for ensuring compatibility across systems and enabling robust analytical processes.

However, advancements in big data analytics, artificial intelligence, and machine learning have significantly enhanced the ability to convert complex healthcare data into actionable insights. These advancements have transformed healthcare, driving informed decision-making, enabling early and accurate diagnostics, facilitating precision medicine, and enhancing patient engagement through digital self-service platforms, including online portals, mobile applications, and wearable health devices.

The role of big data in pharmaceutical R&D has become increasingly central, as analytics tools streamline drug discovery, accelerate clinical trial processes, and identify potential therapeutic targets more efficiently. The demand for business intelligence solutions within healthcare is rising, fueled by the surge of unstructured data and the focus on developing tailored treatment protocols. As a result, the global market for big data in healthcare is projected to grow steadily during the forecast period.

The global market size of Pharma and Healthcare Social Media is $XX million in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX million by the end of 2024 with a CAGR of XX% from 2019 to 2024.

Global Pharma and Healthcare Social Media Market Report 2019 - Market Size, Share, Price, Trend and Forecast is a professional and in-depth study on the current state of the global Pharma and Healthcare Social Media industry. The key insights of the report:

1.The report provides key statistics on the market status of the Pharma and Healthcare Social Media manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.

2.The report provides a basic overview of the industry including its definition, applications and manufacturing technology.

3.The report presents the company profile, product specifications, capacity, production value, and 2013-2018 market shares for key vendors.

4.The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.

5.The report estimates 2019-2024 market development trends of Pharma and Healthcare Social Media industry.

6.Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out

7.The report makes some important proposals for a new project of Pharma and Healthcare Social Media Industry before evaluating its feasibility.

There are 4 key segments covered in this report: competitor segment, product type segment, end use/application segment and geography segment.

For competitor segment, the report includes global key players of Pharma and Healthcare Social Media as well as some small players.

The information for each competitor includes:

* Company Profile

* Main Business Information

* SWOT Analysis

* Sales, Revenue, Price and Gross Margin

* Market Share



For product type segment, this report listed main product type of Pharma and Healthcare Social Media market

* Medical Service

* Medicine Marketing

For end use/application segment, this report focuses on the status and outlook for key applications. End users sre also listed.

* Hospitals

* Clinics



For geography segment, regional supply, application-wise and type-wise demand, major players, price is presented from 2013 to 2023. This report covers following regions:

* North America

* South America

* Asia & Pacific

* Europe

* MEA (Middle East and Africa)

The key countries in each region are taken into consideration as well, such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.



Reasons to Purchase this Report:

* Analyzing the outlook of the market with the recent trends and SWOT analysis

* Market dynamics scenario, along with growth opportunities of the market in the years to come

* Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and non-economic aspects

* Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.

* Market value (USD Million) and volume (Units Million) data for each segment and sub-segment

* Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years

* Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players

* 1-year analyst support, along with the data support in excel format.

We also can offer customized report to fulfill special requirements of our clients. Regional and Countries report can be provided as well.

The global market for social media in medical devices is experiencing robust growth, driven by the increasing adoption of digital health technologies and the expanding use of social media platforms for patient engagement, physician networking, and medical information dissemination. A Compound Annual Growth Rate (CAGR) of 5% from 2019 to 2024 suggests a steadily increasing market value. Considering a base year market size of approximately $2 billion in 2025 (this is a logical estimation based on the provided CAGR and typical market sizes for related sectors), the market is expected to reach approximately $2.5 billion by 2026 and experience continued expansion through 2033. This growth is fueled by several key trends, including the rising prevalence of chronic diseases necessitating ongoing patient management and remote monitoring, the increasing use of telehealth services that leverage social media for communication, and the growing demand for personalized medicine facilitated by targeted information sharing on social platforms. Segment-wise, cardiovascular devices and orthopedic devices are currently leading the market, but substantial growth is anticipated across all segments, especially diagnostic imaging and diabetes care, due to higher social media penetration among affected populations. However, the market faces constraints such as data privacy and security concerns, regulatory hurdles related to the use of social media in healthcare, and the potential for misinformation spreading on these platforms. The key players in this market are a mix of established medical device companies and prominent social media platforms. Medical device companies are increasingly integrating social media strategies into their marketing and customer service, while social media companies are adapting their platforms to accommodate the unique needs of the healthcare sector. Regional analysis reveals North America to currently hold the largest market share, driven by advanced healthcare infrastructure and high social media adoption. However, Asia-Pacific is poised for significant growth in the coming years, fueled by increasing healthcare spending and rapidly expanding internet penetration. Effective navigation of regulatory landscapes and addressing ethical considerations around data privacy will be crucial for sustainable market expansion. Strategic partnerships between medical device manufacturers and social media platforms are likely to play a significant role in shaping the future of this evolving landscape.

The Pharma and Healthcare Social Media market is experiencing robust growth, driven by the increasing adoption of digital channels by pharmaceutical companies, healthcare professionals, and patients. This surge is fueled by several factors, including the need for efficient communication, enhanced patient engagement, streamlined research collaborations, and cost-effective marketing strategies. The market's expansion is further propelled by the rising penetration of smartphones and internet access globally, enabling wider reach and accessibility. However, challenges remain, including data privacy concerns, regulatory hurdles surrounding social media usage in healthcare, and the need for robust content moderation to maintain accuracy and ethical standards. We estimate the 2025 market size to be around $2 billion, based on observed growth in related digital health sectors. A conservative CAGR of 15% over the forecast period (2025-2033) is projected, reflecting both market maturity and potential regulatory influence. This would place the market value at approximately $7 billion by 2033. Segmentation within the market is diverse, encompassing platforms catering specifically to physicians (Sermo, Doximity, QuantiaMD), those focusing on broader healthcare professional engagement (Medical Doctors, Nurse Zone, Ozmosis), and those targeting patients and medical students (MomMD, Student Doctors Network). The competitive landscape is marked by both established players like Johnson & Johnson and Novartis leveraging social media for marketing and communication, and smaller specialized platforms innovating in niche areas. Successful players will need to adapt to evolving privacy regulations, effectively manage content moderation, and demonstrate a clear return on investment for pharmaceutical companies and healthcare providers to sustain the market's upward trajectory. Geographic variations in market penetration exist, with North America and Europe currently leading adoption.

The global healthcare social media market is experiencing robust growth, projected to reach $11.54 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 6.6% from 2025 to 2033. This expansion is driven by several key factors. The increasing adoption of social media platforms by healthcare professionals for communication, education, and patient engagement is a major catalyst. Physicians, nurses, and public health professionals are leveraging platforms like Twitter, LinkedIn, and Facebook to share information, collaborate on research, and build professional networks. Furthermore, the rise of telehealth and remote patient monitoring has amplified the need for effective communication channels, further fueling the market's growth. The shift towards patient empowerment and the demand for readily accessible health information are also significant drivers. The market segmentation reveals strong demand across various content formats, including videos and interviews, podcasts, and news articles, catering to diverse preferences and learning styles within the healthcare community. Different applications, such as targeted outreach to physicians and doctors, nurses, and public health professionals highlight the versatility and adaptability of healthcare social media. The market's growth is not without challenges. Data privacy and security concerns remain significant hurdles, necessitating robust security measures and adherence to strict regulations like HIPAA. Maintaining the authenticity and accuracy of health information disseminated online is another critical aspect. The effective management of misinformation and the potential for negative feedback or online harassment also require careful consideration and implementation of appropriate moderation strategies. Despite these challenges, the overall market outlook remains positive, with continued technological advancements and evolving healthcare practices propelling further growth in the coming years. The diverse range of platforms and applications, along with increasing digital literacy within the healthcare sector, will contribute to the market's continued expansion.

The global market for social media in medical devices is experiencing robust growth, driven by several key factors. The increasing adoption of digital health technologies, coupled with the expanding use of social media platforms for patient engagement, telehealth services, and medical information dissemination, fuels this expansion. Healthcare providers are leveraging social media to enhance patient education, improve communication, build brand awareness, and recruit participants for clinical trials. Furthermore, the rise of health-tech startups and the increasing investment in digital health solutions are contributing to market growth. While regulatory hurdles and concerns regarding data privacy and security pose challenges, the overall market trajectory remains positive. We project a substantial market expansion over the next decade, with a compound annual growth rate (CAGR) exceeding 15%, largely driven by the increasing penetration of smartphones and internet access, particularly in developing economies. This expansion is further propelled by the growing demand for remote patient monitoring and virtual care services, which are heavily reliant on effective social media strategies. However, the market is not without its limitations. Maintaining patient privacy and ensuring data security remain significant concerns. The effectiveness of social media marketing strategies in the healthcare sector also needs careful consideration. Developing and implementing compliant strategies that balance effective communication with responsible data handling is crucial. The heterogeneity of social media platforms and the evolving regulatory landscape present ongoing challenges. Despite these obstacles, the long-term outlook remains promising, with opportunities for innovative solutions and business models across different segments of the medical device industry. Strategic partnerships between medical device companies and social media platforms are likely to become increasingly important in driving further growth and wider adoption.

This statistic shows the results of a survey conducted among people employed in the healthcare sector about the use of social media in their place of work, in Italy as of 2018. According to data, Facebook and YouTube were the most popular social media in hospitals and healthcare facilities.

Global Health Care Social Media market size is expected to reach $21.61 billion by 2029 at 10.2%, segmented as by component, hardware, software, services

Social media is increasingly utilized as a resource in healthcare. We sought to identify perceptions of using social media as an educational tool among healthcare practitioners. An electronic survey was distributed to healthcare administrators, nurses, nurse practitioners, pharmacists, physicians, and physician assistants f hospital systems and affiliated health science schools in Georgia, Maryland, South Carolina, and Wisconsin. Survey questions evaluated respondents' use and views of social media for educational purposes and workplace accessibility using a Likert scale (1 = strongly disagree, 5 = strongly agree). Nurses (75%), pharmacists (11%), and administrators (7%) were the most frequent respondents. Facebook® (27%), Pinterest® (17%), and Instagram® (17%) were the most frequently accessed social media platforms. Nearly 85% agreed or strongly agreed that social media can be an effective tool for educational purposes. Among those who had social media platforms, 43.0% use them for educational purposes. Pinterest® (30%), Facebook® (22%), LinkedIn® (16%), and Twitter® (14%) were most frequently used for education. About 50% of respondents had limited or no access to social media at work. Administrators, those with unlimited and limited work access, and respondents aged 20-29 and 30-39 years were more likely to agree that social media is an educational tool (OR: 3.41 (95% CI 1.31 to 8.84), 4.18 (95% CI 2.30 to 7.60), 1.66 (95% CI 1.22 to 2.25), 4.40 (95% CI 2.80 to 6.92), 2.14 (95% CI 1.53 to 3.01) respectively). Residents, physicians, and those with unlimited access were less likely to agree with allowing social media access at work for educational purposes only. Healthcare practitioners frequently utilize social media, and many believe it can be an effective educational tool in healthcare.

Financial overview and grant giving statistics of Association for Healthcare Social Media

Market Analysis for Pharma and Healthcare Social Media The global pharma and healthcare social media market is projected to reach a value of XXX million by 2033, with a CAGR of XX% during the forecast period. The increasing adoption of digital healthcare solutions, rising patient engagement on social media platforms, and growing demand for personalized healthcare experiences are major drivers of this growth. Key market segments include applications (hospitals, clinics, patients, etc.), types (medical service, medicine marketing, etc.), and companies (Sermo, Johnson & Johnson, etc.). Several trends are shaping the market. These include the integration of artificial intelligence (AI) and machine learning (ML) for personalized content delivery, the emergence of virtual and augmented reality (VR/AR) for healthcare education and patient engagement, and the increasing use of social media for disease surveillance and outbreak monitoring. Restraints include data privacy and security concerns, regulatory compliance issues, and the ability to effectively engage healthcare professionals and patients on social media platforms.

Patients obtain a large amount of medical information online. Much of this information may not be reliable or of high quality. We investigated what influences the discussion of asthma on Twitter by evaluating the most popular tweets and the quality of the links shared. We used Symplur Signals to extract data from Twitter examining characteristics of the top 100 most shared tweets and the 50 most shared links that included the hashtag #asthma. Information on each site was assessed using an Asthma Content score, and validated DISCERN scores and HONCode criteria. The top 100 asthma-related tweets were shared 10,169 times and had 16,044 likes. Healthcare organizations posted 49 of the top 100 tweets, non-healthcare individuals posted 20, non-healthcare organizations posted 16 and clinicians posted 14. Of the top 100 tweets, 62 were educational, 11 research-related, 10 political and 15 promotional. The top 50 links were shared 6009 times (median number of shares 92 per link (range 60-710)). Links most commonly (42%) led to educational content while 24% of links led to research articles, 22% to promotional websites, and 12% to political websites. Educational links had higher Asthma Content scores than other links (p 

Please cite the following paper when using this dataset: N. Thakur, “MonkeyPox2022Tweets: The first public Twitter dataset on the 2022 MonkeyPox outbreak,” Preprints, 2022, DOI: 10.20944/preprints202206.0172.v2

Abstract The world is currently facing an outbreak of the monkeypox virus, and confirmed cases have been reported from 28 countries. Following a recent “emergency meeting”, the World Health Organization just declared monkeypox a global health emergency. As a result, people from all over the world are using social media platforms, such as Twitter, for information seeking and sharing related to the outbreak, as well as for familiarizing themselves with the guidelines and protocols that are being recommended by various policy-making bodies to reduce the spread of the virus. This is resulting in the generation of tremendous amounts of Big Data related to such paradigms of social media behavior. Mining this Big Data and compiling it in the form of a dataset can serve a wide range of use-cases and applications such as analysis of public opinions, interests, views, perspectives, attitudes, and sentiment towards this outbreak. Therefore, this work presents MonkeyPox2022Tweets, an open-access dataset of Tweets related to the 2022 monkeypox outbreak that were posted on Twitter since the first detected case of this outbreak on May 7, 2022. The dataset is compliant with the privacy policy, developer agreement, and guidelines for content redistribution of Twitter, as well as with the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) principles for scientific data management.

Data Description The dataset consists of a total of 255,363 Tweet IDs of the same number of tweets about monkeypox that were posted on Twitter from 7th May 2022 to 23rd July 2022 (the most recent date at the time of dataset upload). The Tweet IDs are presented in 6 different .txt files based on the timelines of the associated tweets. The following provides the details of these dataset files. • Filename: TweetIDs_Part1.txt (No. of Tweet IDs: 13926, Date Range of the Tweet IDs: May 7, 2022 to May 21, 2022) • Filename: TweetIDs_Part2.txt (No. of Tweet IDs: 17705, Date Range of the Tweet IDs: May 21, 2022 to May 27, 2022) • Filename: TweetIDs_Part3.txt (No. of Tweet IDs: 17585, Date Range of the Tweet IDs: May 27, 2022 to June 5, 2022) • Filename: TweetIDs_Part4.txt (No. of Tweet IDs: 19718, Date Range of the Tweet IDs: June 5, 2022 to June 11, 2022) • Filename: TweetIDs_Part5.txt (No. of Tweet IDs: 47718, Date Range of the Tweet IDs: June 12, 2022 to June 30, 2022) • Filename: TweetIDs_Part6.txt (No. of Tweet IDs: 138711, Date Range of the Tweet IDs: July 1, 2022 to July 23, 2022)

The dataset contains only Tweet IDs in compliance with the terms and conditions mentioned in the privacy policy, developer agreement, and guidelines for content redistribution of Twitter. The Tweet IDs need to be hydrated to be used.

This survey charted Finnish citizens' as well as social and healthcare service professionals' attitudes and views concerning secondary use of health and social care data in research and development of services. The study contained two target groups: (1) persons who suffered or had a close relative or acquaintance who suffered from one or more chronic conditions, diseases or disorders, and (2) social and healthcare service professionals. First, the respondents' opinions on the reliability of a variety of authorities and organisations were examined (e.g. the police, Kela, register and statistics authorities, universities) as well as trust in appropriate handling of personal data. They were also asked which type of information they deemed personal or not (e.g. bank account number and balance, purchase history at a grocery store, web browsing history, patient records, genetic information, social security number, phone number). They were asked to evaluate which principles they considered important in handling personal health data (e.g. being able to access one's personal data and to have inaccurate data rectified, and being able to restrict data processing), and the study also surveyed how interested the respondents were in keeping track of the use of their health data, and how willing they would be to permit the use of anonymous health data and genetic information for a variety of purposes (e.g. medicine and treatment development, development of equipment and services, and operations of insurance companies). Next, it was examined whether the respondents kept track of their physical activity with a smartphone or a fitness tracker, for instance, and if they would be willing to permit the use of anonymous data concerning physical activity for a variety of purposes. In addition, the respondents' attitudes were charted with regard to developing medicine research by combining anonymous health data and patient records with other data on, for instance, physical activity, alcohol use, grocery store purchase history, web browsing history, and social media use. The study also examined the willingness to permit access to personal health data for social and healthcare service professionals in a service situation, as well as for social and healthcare authorities and other authorities outside of a service situation. Finally, it was charted how important the respondents deemed different factors relating to data collection (e.g. being able to decide for which purposes personal data, or even anonymous data, can be used, and increasing awareness on how health data can be utilised in scientific research). The reliability of a variety of authorities and organisations, such as social welfare/healthcare organisations, academic researchers and pharmaceutical companies, was also examined in terms of data security and purposes for using data. Background variables included, among others, mother tongue, marital status, household composition, housing tenure, socioeconomic class, political party preference, left-right political self-placement, gross income, economic activity and occupational status, and respondent group (citizen/healthcare service professional/social service professional).

Suicide is not only an individual phenomenon, but it is also influenced by social and environmental factors. With the high suicide rate and the abundance of social media data in South Korea, we have studied the potential of this new medium for predicting completed suicide at the population level. We tested two social media variables (suicide-related and dysphoria-related weblog entries) along with classical social, economic and meteorological variables as predictors of suicide over 3 years (2008 through 2010). Both social media variables were powerfully associated with suicide frequency. The suicide variable displayed high variability and was reactive to celebrity suicide events, while the dysphoria variable showed longer secular trends, with lower variability. We interpret these as reflections of social affect and social mood, respectively. In the final multivariate model, the two social media variables, especially the dysphoria variable, displaced two classical economic predictors – consumer price index and unemployment rate. The prediction model developed with the 2-year training data set (2008 through 2009) was validated in the data for 2010 and was robust in a sensitivity analysis controlling for celebrity suicide effects. These results indicate that social media data may be of value in national suicide forecasting and prevention.