Unlock the full potential of LinkedIn data with our extensive dataset that combines profiles, company information, and job listings into one powerful resource for business decision-making, strategic hiring, competitive analysis, and market trend insights. This all-encompassing dataset is ideal for professionals, recruiters, analysts, and marketers aiming to enhance their strategies and operations across various business functions. Dataset Features

Profiles: Dive into detailed public profiles featuring names, titles, positions, experience, education, skills, and more. Utilize this data for talent sourcing, lead generation, and investment signaling, with a refresh rate ensuring up to 30 million records per month. Companies: Access comprehensive company data including ID, country, industry, size, number of followers, website details, subsidiaries, and posts. Tailored subsets by industry or region provide invaluable insights for CRM enrichment, competitive intelligence, and understanding the startup ecosystem, updated monthly with up to 40 million records. Job Listings: Explore current job opportunities detailed with job titles, company names, locations, and employment specifics such as seniority levels and employment functions. This dataset includes direct application links and real-time application numbers, serving as a crucial tool for job seekers and analysts looking to understand industry trends and the job market dynamics.

Customizable Subsets for Specific Needs Our LinkedIn dataset offers the flexibility to tailor the dataset according to your specific business requirements. Whether you need comprehensive insights across all data points or are focused on specific segments like job listings, company profiles, or individual professional details, we can customize the dataset to match your needs. This modular approach ensures that you get only the data that is most relevant to your objectives, maximizing efficiency and relevance in your strategic applications. Popular Use Cases

Strategic Hiring and Recruiting: Track talent movement, identify growth opportunities, and enhance your recruiting efforts with targeted data. Market Analysis and Competitive Intelligence: Gain a competitive edge by analyzing company growth, industry trends, and strategic opportunities. Lead Generation and CRM Enrichment: Enrich your database with up-to-date company and professional data for targeted marketing and sales strategies. Job Market Insights and Trends: Leverage detailed job listings for a nuanced understanding of employment trends and opportunities, facilitating effective job matching and market analysis. AI-Driven Predictive Analytics: Utilize AI algorithms to analyze large datasets for predicting industry shifts, optimizing business operations, and enhancing decision-making processes based on actionable data insights.

Whether you are mapping out competitive landscapes, sourcing new talent, or analyzing job market trends, our LinkedIn dataset provides the tools you need to succeed. Customize your access to fit specific needs, ensuring that you have the most relevant and timely data at your fingertips.

Empower your business decisions with LinkedIn Dataset: A treasure trove of B2B data, featuring over 100 million records.

Global Professional Profiles Dataset covers over 785M+ professional profile records.

We do 150M+ updates a month (most updates of any vendor), and deliver the data as JSONL flat-files, or PostgreSQL database delivery.

We track every public profile and capture publicly available info on all these records.

| Volume and Stats | - 785M+ total records (and growing). - 150M+ updates/month, and growing even more! Most updates/month than anyone else! - First-party data curation — we power the world's best sales and recruitment platforms that build on top of this data. - Delivery frequency is hourly (fastest in the industry today). - Additional datapoints and linkages available. - Delivery formats: JSONL, PostgreSQL, CSV, S3, BigQuery, Redshift

| Datapoints | - Over 150+ unique datapoints available! - Key fields like Current Title, Current Company, Work History, Educational Background, Certificates, Patents, People in the Network, and more. - Unique linkage data to other social networks or contact data available.

| Use Cases |

Sales Platforms, ABM Vendors, Intent Data Companies, AdTech and more: - Build the best end-customer experience with our people feed powering your solution! - Be the first to know when someone changes jobs, and share that with end-customers. - Industry-leading data accuracy - Connect our professional records to your existing database, as well as find new connections to other social networks, and contact data. - Hashed records also available for advertising use-cases.

Venture Capital and Private Equity: - Track every company and employee that has a publicly available profile. - Keep track of your portfolio founders, employees and ex-employees, and be the first to know when they move or startup. Also maintain the anti-portfolio list of companies, founders and key employees. - Keep an eye on the pulse by following the most influential people and human capital in industries and segments you care about. - Provide your portfolio companies with access to the best data for recruitment and talent sourcing. - Review departmental headcount growth of private companies and benchmark their strength against competitors.

HR Tech, ATS Platforms, Recruitment Solutions, as well as Executive Search Agencies: - Build products for industry-specific and industry-agnostic candidate recruiting platforms. - Track person job changes and immediately refresh profiles to avoid stale data. - Identify ideal candidates through work experience and education history. - Keep ATS systems and candidate profiles constantly updated. - Link data from this dataset into GitHub, Linktree, Behance, Dribble and other social networks.

| Delivery Options | - Flat files via S3 or GCP - PostgreSQL Shared Database - PostgreSQL Managed Database - REST API - Snowflake - Other options available at request, depending on scale required

| Other key features |
- Over 65M US Company Profiles.
- 150+ Data Fields (available upon request)
- Free data samples, and evaluation.

Tags: Professionals Data, People Data, Work Experience History, Education Data, Employee Data, Workforce Intelligence, Identity Resolution, Talent, Candidate Database, Sales Database, Contact Data, Account Based Marketing, Intent Data.

The Datyle B2B LinkedIn company data API collects worldwide B2B contacts. Available in batch or single APIs, the Datyle tools can be used to build or enrich your own datasets based on LinkedIn public profile data, or from your list of email addresses, or just from a list of company names. Build your own B2B contact data using our API.

Full data includes : LinkedIn company Data API LinkedIn public profile ID LinkedIn profile URL Business email First name Last name Job title/description Company name Company domain Company known email format LinkedIn connections Region (country code) Company LinkedIn URL

This data does not come out of stale historical databases, it is sourced fresh and in real-time.

We DO NOT purchase data from any other sources, all data is gathered for you in real-time.

Ownership You have full rights to use the data as you see fit. There are no recurring licences for re-use of the data. Any data sourced using the Datyle tools is essentially yours to keep.

Updates We recommend regular updates to ensure the data is still current. B2B data and email contact data decays at around 30% per year therefore it is important to keep it fresh if you intend to use it on a regular basis.

Success.ai’s LinkedIn Data Solutions offer unparalleled access to a vast dataset of 700 million public LinkedIn profiles and 70 million LinkedIn company records, making it one of the most comprehensive and reliable LinkedIn datasets available on the market today. Our employee data and LinkedIn data are ideal for businesses looking to streamline recruitment efforts, build highly targeted lead lists, or develop personalized B2B marketing campaigns.

Whether you’re looking for recruiting data, conducting investment research, or seeking to enrich your CRM systems with accurate and up-to-date LinkedIn profile data, Success.ai provides everything you need with pinpoint precision. By tapping into LinkedIn company data, you’ll have access to over 40 critical data points per profile, including education, professional history, and skills.

Key Benefits of Success.ai’s LinkedIn Data: Our LinkedIn data solution offers more than just a dataset. With GDPR-compliant data, AI-enhanced accuracy, and a price match guarantee, Success.ai ensures you receive the highest-quality data at the best price in the market. Our datasets are delivered in Parquet format for easy integration into your systems, and with millions of profiles updated daily, you can trust that you’re always working with fresh, relevant data.

API Integration: Our datasets are easily accessible via API, allowing for seamless integration into your existing systems. This ensures that you can automate data retrieval and update processes, maintaining the flow of fresh, accurate information directly into your applications.

Global Reach and Industry Coverage: Our LinkedIn data covers professionals across all industries and sectors, providing you with detailed insights into businesses around the world. Our geographic coverage spans 259M profiles in the United States, 22M in the United Kingdom, 27M in India, and thousands of profiles in regions such as Europe, Latin America, and Asia Pacific. With LinkedIn company data, you can access profiles of top companies from the United States (6M+), United Kingdom (2M+), and beyond, helping you scale your outreach globally.

Why Choose Success.ai’s LinkedIn Data: Success.ai stands out for its tailored approach and white-glove service, making it easy for businesses to receive exactly the data they need without managing complex data platforms. Our dedicated Success Managers will curate and deliver your dataset based on your specific requirements, so you can focus on what matters most—reaching the right audience. Whether you’re sourcing employee data, LinkedIn profile data, or recruiting data, our service ensures a seamless experience with 99% data accuracy.

• Best Price Guarantee: We offer unbeatable pricing on LinkedIn data, and we’ll match any competitor.
• Global Scale: Access 700 million LinkedIn profiles and 70 million company records globally.
• AI-Verified Accuracy: Enjoy 99% data accuracy through our advanced AI and manual validation processes.
• Real-Time Data: Profiles are updated daily, ensuring you always have the most relevant insights.
• Tailored Solutions: Get custom-curated LinkedIn data delivered directly, without managing platforms.
• Ethically Sourced Data: Compliant with global privacy laws, ensuring responsible data usage.
• Comprehensive Profiles: Over 40 data points per profile, including job titles, skills, and company details.
• Wide Industry Coverage: Covering sectors from tech to finance across regions like the US, UK, Europe, and Asia.

Key Use Cases:

• Sales Prospecting and Lead Generation: Build targeted lead lists using LinkedIn company data and professional profiles, helping sales teams engage decision-makers at high-value accounts.
• Recruitment and Talent Sourcing: Use LinkedIn profile data to identify and reach top candidates globally. Our employee data includes work history, skills, and education, providing all the details you need for successful recruitment.
• Account-Based Marketing (ABM): Use our LinkedIn company data to tailor marketing campaigns to key accounts, making your outreach efforts more personalized and effective.
• Investment Research & Due Diligence: Identify companies with strong growth potential using LinkedIn company data. Access key data points such as funding history, employee count, and company trends to fuel investment decisions.
• Competitor Analysis: Stay ahead of your competition by tracking hiring trends, employee movement, and company growth through LinkedIn data. Use these insights to adjust your market strategy and improve your competitive positioning.
• CRM Data Enrichment: Enhance your CRM systems with real-time updates from Success.ai’s LinkedIn data, ensuring that your sales and marketing teams are always working with accurate and up-to-date information.
• Comprehensive Data Points for LinkedIn Profiles: Our LinkedIn profile data includes over 40 key data points for every individual and company, ensuring a complete understandin...

The LinkedIn posts dataset is a comprehensive collection of user-generated content on LinkedIn, featuring key fields such as post ID, user ID, URL, title, post text, date posted, hashtags, and engagement metrics like the number of likes and comments. This dataset also includes additional elements such as embedded links, images, videos, top visible comments, and links to more posts by the user or relevant content. It is ideal for social media analysts, marketers, and researchers looking to analyze user behavior, content trends, and engagement on LinkedIn.

Success.ai provides extensive access to LinkedIn data, featuring over 700 million public profiles and 70 million company records. This service is ideal for professionals in marketing, advertising, and B2B marketing, aiming to enhance market research and lead generation strategies. With a focus on LinkedIn profile data, our offerings are meticulously curated to support businesses in identifying and engaging with key decision-makers through detailed insights.

• LinkedIn Profile Data: Detailed insights into individual professional histories and qualifications.
• LinkedIn Data: Comprehensive access to user activities and engagement metrics.
• LinkedIn Company Data: In-depth company profiles including industry, size, and employee data.
• User Profiles Data: General user demographics and professional backgrounds.
• Licensed Professionals Data: Verified data on professionals with credentials and certifications.

Key Use Cases:

• Marketing: Leverage LinkedIn data to create targeted marketing campaigns.
• Advertising: Utilize detailed demographic and professional data for precision advertising.
• B2B Marketing: Engage directly with key industry players and decision-makers.
• Market Research: Analyze industry trends and gather competitor insights.
• Lead Generation: Generate and qualify leads based on detailed company and professional data.

Why Choose Success.ai for LinkedIn Data?

• Unmatched Data Integrity: With AI-enhanced validation, we ensure 99% accuracy across all data points.
• Global Reach: From startups to multinational companies, our data spans across all major regions including North America, Europe, and Asia.
• Customization and Flexibility: Tailor your data sets with filters that meet your specific needs, delivered in formats like CSV, Excel, or through our API.
• Compliance and Reliability: Adherence to GDPR and other privacy laws makes our data not only reliable but also ethically sourced.
• Competitive Pricing: Our best price guarantee ensures you receive the most value for your investment.

Our LinkedIn Data Solutions are designed to provide actionable insights that help businesses grow by understanding their market better and connecting with potential clients more effectively. Success.ai is committed to delivering high-quality, up-to-date data that empowers your business operations.

Get Started Now: Unlock the potential of LinkedIn with Success.ai and transform your business strategies with our advanced data solutions. Contact us today to learn more about our services and how we can help you achieve your business goals with precision and efficiency.

Success.ai – Where data meets precision at the best price.

The LinkedIn Jobs Listing dataset emerges as a comprehensive resource for individuals navigating the contemporary job market. With a focus on critical employment details, the dataset encapsulates key facets of job listings, including titles, company names, locations, and employment specifics such as seniority levels and functions. This wealth of information is instrumental for job seekers looking to align their skills and aspirations with the right opportunities. The inclusion of direct application links and real-time application numbers enhances the dataset's utility, offering users a streamlined approach to engaging with potential employers. Beyond aiding job seekers, the dataset serves as a valuable tool for analysts and researchers, providing nuanced insights into industry trends and the evolving demands of the job market. The temporal aspect, captured through job posting timestamps, allows for the observation of job trends over time. Moreover, the dataset's integration of company details, including unique identifiers and LinkedIn profile links, enables a deeper exploration of hiring organizations. Whether for job seekers or analysts, the LinkedIn Jobs Listing dataset emerges as a versatile and informative repository, empowering users with the knowledge to make informed decisions in their professional pursuits.

Stop relying on outdated and inaccurate Linkedin Data and let Wiza be your source of truth for all use cases.

Why we're different: Wiza is not a static Linkedin Data Database that gets refreshed on occasion. Every Linkedin datapoint is sourced the moment that you receive the information. This ensures that each person in your dataset has 100% accuracy by leveraging Linkedin Data sourced through their live Linkedin profile.

Key Features:

Comprehensive Data Coverage: Stop contacting the same people as everyone else. Wiza's Data is sourced live, not stored in a limited database. We can source Linkedin Data from any Linkedin URL, Linkedin Sales Navigator URL, Linkedin Recruiter URL, or even just based on search criteria that you give us.

Linkedin Data: Wiza is able to provide Linkedin Data points, sourced live from each person's Linkedin profile, including Subtitle, Bio, Job Title, Job Description, Skills, Languages, Certifications, Work History, Education, Open to Work, Premium Status, Length of Employment at current role and company, and more!

Data Use-Cases: Wiza's Linkedin Data, B2B Contact Data, B2C Contact Data (personal emails and mobile phone numbers), Email Data, Phone Number Data, and Company Data can be used for a large variety of use-cases. We see startups and Fortune 100 companies leverage the breadth and quality of Wiza's data capabilities.

A social networking site focused on business and jobs, LinkedIn was established in 2002 and is owned by Microsoft. Users of LinkedIn have the opportunity to upgrade to premium accounts, and it is estimated that there were 175.5 million premium users on the platform in 2023, up from around 154.4 million in 2022.

As of February 2025, 47.3 percent of LinkedIn users worldwide were between the ages of 25 and 34 years old. In comparison, users older than 55 years old made up 3.3 percent of the social platform's audience. Furthermore, individuals belonging to the 18- to 24-year-old age group constituted 28.7 percent of the professional social network's user base, and 56.9 percent of global users identified as male. Leading LinkedIn audiences As of April 2024, the United States was home to 230 million LinkedIn users, which made it the country with the largest audience of the online network. India had 130 million users, and Brazil had 71 million users. As of June 2024, 16 percent of social media users in the United States utilized LinkedIn, making it the eighth most popular social network in the country. The growing number of LinkedIn subscribers Users of LinkedIn can upgrade to premium accounts to make the most of additional features and tools to help them with their professional networking. It is estimated that there were 174.5 million premium users on LinkedIn in 2023, up from around 154.4 million in 2022. In 2019, there were around 94 million premium users of LinkedIn, indicating an increase in paid subscribers of around 85 percent over the past four years.

52 million people use LinkedIn every week to search for new jobs.

The number of LinkedIn users in Africa was forecast to continuously increase between 2024 and 2028 by in total 37 million users (+68.13 percent). After the ninth consecutive increasing year, the LinkedIn user base is estimated to reach 91.29 million users and therefore a new peak in 2028. Notably, the number of LinkedIn users of was continuously increasing over the past years.User figures, shown here with regards to the platform LinkedIn, 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).Find more key insights for the number of LinkedIn users in countries like South America and Caribbean.

The number of LinkedIn users in Russia was forecast to continuously increase between 2022 and 2028 by in total 0.4 million users (+5.26 percent). According to this forecast in 2028, the LinkedIn user base will have increased for the sixth consecutive year to 8.04 million users. Notably, the number of LinkedIn users was continuously increasing over the past years.User figures, shown here with regards to the platform LinkedIn, 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).Find more key insights for the number of LinkedIn users in countries like Northern Europe and Central & Western Europe.

There are more male LinkedIn users than females – although it is pretty balanced.

The number of LinkedIn users in Ghana was forecast to continuously increase between 2024 and 2028 by in total 0.3 million users (+10.6 percent). After the eighth consecutive increasing year, the LinkedIn user base is estimated to reach 3.14 million users and therefore a new peak in 2028. User figures, shown here with regards to the platform LinkedIn, 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).Find more key insights for the number of LinkedIn users in countries like Ivory Coast and Nigeria.

The number of LinkedIn users in Australia was forecast to continuously increase between 2024 and 2028 by in total 0.5 million users (+3.74 percent). After the ninth consecutive increasing year, the LinkedIn user base is estimated to reach 13.89 million users and therefore a new peak in 2028. Notably, the number of LinkedIn users of was continuously increasing over the past years.User figures, shown here with regards to the platform LinkedIn, 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).Find more key insights for the number of LinkedIn users in countries like Fiji and New Zealand.

PUDL v2024.10.0 Data Release

This is a special early release to publish the new VCE Resource Adequacy Renewable Energy (RARE) dataset. It also includes final releases of EIA 860 and 923 data for 2023 and the FERC Form 714 data for 2021-2023, which had previously been integrated from the XBRL data published by FERC. See the release notes for more narrative detail.

New Data

Vibrant Clean Energy Resource Adequacy Renewable Energy (RARE) Power Dataset

• Integrate the VCE hourly capacity factor data for solar PV, onshore wind, and offshore wind from 2019 through 2023. The data in this table were produced by Vibrant Clean Energy, and are licensed to the public under the Creative Commons Attribution 4.0 International license (CC-BY-4.0). This data complements the WECC-wide GridPath RA Toolkit data currently incorporated into PUDL, providing capacity factor data nation-wide with a different set of modeling assumptions and a different granularity for the aggregation of outputs. See GridPath Resource Adequacy Toolkit Data and Vibrant Clean Energy Resource Adequacy Renewable Energy (RARE) Power Dataset for more information. See #3872.

New Data Coverage

EIA 860

• Added EIA 860 final release data from 2023. See #3684 and PR #3871.

EIA 923

• Added EIA 923 final release data from 2023 and revised data from 2022. See #3902 and PR #3903.

FERC Form 714

• Integrated 2021-2023 years of the FERC Form 714 data. FERC updated its reporting format for 2021 from a CSV files to XBRL files. This update integrates the two raw data sources and extends the data coverage through 2023. See #3809 and #3842.

Schema Changes

• Added out_eia_yearly_assn_plant_parts_plant_gen table. This table associates records from the out_eia_yearly_plant_parts with plant_gen records from that same plant parts table. See issue #3773 and PR #3774.

Bug Fixes

• Included more retiring generators in the net generation and fuel consumption allocation. Thanks to @grgmiller for this contirbution #3690.

• Fixed a bug found in the rolling averages used to impute missing values in fuel_cost_per_mmbtu and to calculate capex_annual_addition_rolling. Thanks to RMI for identifying this bug! See issue #3889 and PR #3892.

Major Dependency Updates

• Updated to use Numpy v2.0 and Splink v4.0. See issues #3736, #3735 and PRs #3547, #3834.

Quality of Life Improvements

• We now use an asset factory to generate Dagster assets for near-identical FERC1 output tables. See #3147 and #3883. Thanks to @hfireborn and @denimalpaca for their work on this one!

Other PUDL v2024.10.0 Resources

• PUDL v2024.10.0 Data Dictionary
• PUDL v2024.10.0 Documentation
• PUDL in the AWS Open Data Registry
• PUDL v2024.10.0 in a free, public AWS S3 bucket: s3://pudl.catalyst.coop/v2024.10.0/
• PUDL v2024.10.0 in a requester-pays GCS bucket: gs://pudl.catalyst.coop/v2024.10.0/
• Zenodo archive of the PUDL GitHub repo for this release
• PUDL v2024.10.0 release on GitHub
• PUDL v2024.10.0 package in the Python Package Index (PyPI)

Contact Us

If you're using PUDL, we would love to hear from you! Even if it's just a note to let us know that you exist, and how you're using the software or data. Here's a bunch of different ways to get in touch:

• Follow us on GitHub
• Use the PUDL Github issue tracker to let us know about any bugs or data issues you encounter
• GitHub Discussions is where we provide user support.
• Watch our GitHub Project to see what we're working on.
• Email us at hello@catalyst.coop for private communications.
• On Mastodon: @CatalystCoop@mastodon.energy
• On BlueSky: @catalyst.coop
• On Twitter: @CatalystCoop
• Connect with us on LinkedIn
• Play with our data and notebooks on Kaggle
• Combine our data with ML models on HuggingFace
• Learn more about us on our website: https://catalyst.coop
• Subscribe to our announcements list for email updates.

This dataset demonstrates the fear of Coronavirus (COVID-19) among the people of Khyber Pakhtunkhwa (Pakistan), their preventive behaviour, mental health condition, and level of anxiety during the pandemic. To gauge these constructs, a questionnaire was developed with the help of various scales – Fear of COVID-19 Scale (FCV-19S), Positive Mental Health Scale (PMHS), and General Anxiety Disorder Scale (GAD). At the time of data collection, the COVID-19 cases were emerging rapidly in the country due to which the KPK province was also facing lock-down and other mobility restrictions to limit the spread of viral infection. Keeping in view the prevalent emergency conditions, the research tool was developed in Google form and disseminated online for the collection of data. The informed consent of the respondents was obtained electronically, and they participated voluntarily in this survey research. Social media apps like Facebook, WhatsApp, LinkedIn, and personal contacts were also used for speedy collection of data. All the questions in the questionnaire were mandatory and the respondents could not send their responses by skipping any of them, so there is no missing value in the dataset. A total of 501 responses were received out of which 208 were females. For the convenience of the participants, every question in the questionnaire was translated into the Urdu language. All the responses were automatically saved online into a .xlsx spreadsheet and later that data was converted to digitized form by developing a coding frame. There are two main sections in this dataset, first is about the socio-demographic information (gender, age, marital status, employment status, area of residence and education) of the participants and the second demonstrates the fear, mental health, preventive behaviour, and anxiety while in the second section, the responses were rated on Likert scale. This dataset could be beneficial to the researchers and policymakers as they can get further insight to develop better skills and practices from a rapidly evolving situation.

The number of LinkedIn users in South Africa was forecast to continuously increase between 2024 and 2028 by in total 2.7 million users (+28.75 percent). After the eighth consecutive increasing year, the LinkedIn user base is estimated to reach 12.04 million users and therefore a new peak in 2028. User figures, shown here with regards to the platform LinkedIn, 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).Find more key insights for the number of LinkedIn users in countries like Lesotho and Botswana.