The global number of LinkedIn users in was forecast to continuously increase between 2024 and 2028 by in total 171.9 million users (+22.3 percent). After the sixth consecutive increasing year, the LinkedIn user base is estimated to reach 942.84 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 Asia and South America.

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.

As of early 2025, LinkedIn had an audience reach of 250 million users in the United States. The country was by far the leading market of the professional job networking service, with runner-up India having an audience of 150 million. LinkedIn: the company Launched in 2003, LinkedIn is a professional networking service where jobseekers can post their CVs, and employers or recruiters can post job ads and search for prospective candidates. In December 2016, Microsoft acquired LinkedIn, making it a wholly owned subsidiary. In 2020, the platform generated over eight billion U.S. dollars in revenue. Despite its great success, the company has not always seen positive numbers only, and in 2018, LinkedIn reported an operating loss of 987 million U.S. dollars. LinkedIn marketing Greater exposure, lead generation and increased thought leadership are all key benefits of social media marketing, and LinkedIn is a popular marketing tool in the B2B segment. Whereas the company predominantly generates revenue by selling access to member information to professional parties, LinkedIn is the second-most popular social media platform used by B2B marketers, ranking only behind Facebook.

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.

Success.ai’s LinkedIn Company Data for Global Manufacturing Professionals provides a robust dataset designed for businesses aiming to connect with decision-makers and professionals in the manufacturing sector worldwide. Covering roles such as plant managers, supply chain leaders, production heads, and operations executives, this dataset offers verified LinkedIn profiles, work emails, and comprehensive professional insights.

With access to over 700 million verified global profiles, Success.ai ensures your outreach, market research, and partnership strategies are driven by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to thrive in the competitive and evolving manufacturing industry.

Why Choose Success.ai’s LinkedIn Company Data?

1. Verified LinkedIn Profiles and Contact Data

   • Access verified LinkedIn profiles, professional histories, work emails, and phone numbers of manufacturing leaders worldwide.
   • AI-driven validation ensures 99% accuracy, optimizing outreach and reducing communication inefficiencies.

2. Comprehensive Global Coverage

   • Includes professionals from major manufacturing hubs across North America, Europe, Asia-Pacific, and other key regions.
   • Gain insights into regional manufacturing trends, operational practices, and technological advancements.

3. Continuously Updated Datasets

   • Real-time updates capture changes in leadership, organizational structures, and market expansions.
   • Stay aligned with industry developments to capitalize on emerging opportunities.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Global Profiles: Access LinkedIn company data for manufacturing professionals across industries and regions.
• Leadership and Professional Insights: Connect with supply chain managers, plant heads, and C-suite executives in the manufacturing sector.
• Verified Contact Details: Gain work emails, phone numbers, and LinkedIn profiles for targeted engagement.
• Professional Histories: Understand career trajectories, expertise, and leadership roles to guide your outreach strategies.

Key Features of the Dataset:

1. Comprehensive Manufacturing Profiles

   • Identify and connect with key players responsible for production, operations, and supply chain management in the manufacturing sector.
   • Target professionals driving innovation, efficiency, and technology adoption.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (automotive, electronics, textiles), geographic location, or job function.
   • Tailor campaigns to align with specific business needs, such as logistics optimization, process improvement, or sustainability initiatives.

3. Regional and Industry Insights

   • Leverage data on global manufacturing trends, regional benchmarks, and emerging technologies to inform your strategies.
   • Refine your approach to align with industry needs and geographic demands.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Marketing Campaigns and Lead Generation

   • Design targeted campaigns to promote manufacturing equipment, technology solutions, or operational tools to industry professionals.
   • Use verified LinkedIn contact data for multi-channel outreach, including email, phone, and digital platforms.

2. Partnership Development and Collaboration

   • Build relationships with manufacturing leaders seeking innovative solutions, supply chain partnerships, or sustainability collaborations.
   • Foster strategic alliances that drive operational efficiency and mutual growth.

3. Market Research and Competitive Analysis

   • Analyze trends in global manufacturing to refine your business strategies, identify growth opportunities, and benchmark against competitors.
   • Identify high-demand solutions and underserved segments in the market.

4. Recruitment and Talent Acquisition

   • Target HR professionals and hiring managers recruiting for critical roles in manufacturing operations, engineering, or supply chain management.
   • Provide workforce optimization tools or talent development platforms tailored to the sector.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality LinkedIn company data at competitive prices, ensuring strong ROI for your marketing, sales, and partnership initiatives.

2. Seamless Integration

   • Integrate verified LinkedIn company data into CRM systems, analytics tools, or marketing platforms via APIs or downloadable formats, enhancing productivity and streamlining workflows.

3. Data Accuracy with AI Validation
   ...

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.

Stop relying on outdated and inaccurate databases and let Wiza be your source of truth for all deal sourcing and founder / CEO outreach.

Why we're different: The search fund market is dynamic and competitive - Wiza is not a static financial database that gets refreshed on occasion. Every datapoint is sourced and verified the moment that you receive the information. We verify deliverability of every single email ahead of providing the data, and we ensure that each person in your dataset has 100% job title and company 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 search fund Data is sourced live, not stored in a limited database. When you tell us the type of company or person you would like to contact, we leverage Linkedin Data (the largest, most accurate database in the world) to find everyone who matches your ICP, and then we source the contact data and company data in real-time.

High-Quality, Accurate Data: Wiza ensures accuracy of all datapoints by taking a few key steps that other data providers fail to take: (1) Every email is SMTP verified ahead of delivery, ensuring they will not bounce (2) Every person's Linkedin profile is checked live to ensure we have 100% job title, company, location, etc. accuracy, ahead of providing any data (3) Phone numbers are constantly being verified with AI to ensure accuracy

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, and more!

Personal Data: Wiza has access to industry leading volumes of B2C Contact Data, meaning you can find gmail/yahoo/hotmail email addresses, and mobile phone number data to contact your potential partners.

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, employee data / 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.

Overview

This project started over 3 years ago, where I wanted to make something that would draw out football plays automatically. Last year I hit a break through in my python development. where I could track players individually. Roboflow has allowed me to track players by position groups.

Classes

Some of them are straight forward like Center, QB (quarterback), db (defensive back), lb (linebacker), but the rest are identified as skill. That means an offensive player like Runningback, Fullback, Tightend, H-back, Wide Reciever.

The project in action

I haven't made a video with myself using roboflow but I will shortly. You can see the project on my linkedin and how it's grown and will continue to grow. My LinkedIn

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 inspiration behind creating the OYO Review Dataset for sentiment analysis was to explore the sentiment and opinions expressed in hotel reviews on the OYO Hotels platform. Analyzing the sentiment of customer reviews can provide valuable insights into the overall satisfaction of guests, identify areas for improvement, and assist in making data-driven decisions to enhance the hotel experience. By collecting and curating this dataset, Deep Patel, Nikki Patel, and Nimil aimed to contribute to the field of sentiment analysis in the context of the hospitality industry. Sentiment analysis allows us to classify the sentiment expressed in textual data, such as reviews, into positive, negative, or neutral categories. This analysis can help hotel management and stakeholders understand customer sentiments, identify common patterns, and address concerns or issues that may affect the reputation and customer satisfaction of OYO Hotels. The dataset provides a valuable resource for training and evaluating sentiment analysis models specifically tailored to the hospitality domain. Researchers, data scientists, and practitioners can utilize this dataset to develop and test various machine learning and natural language processing techniques for sentiment analysis, such as classification algorithms, sentiment lexicons, or deep learning models. Overall, the goal of creating the OYO Review Dataset for sentiment analysis was to facilitate research and analysis in the area of customer sentiments and opinions in the hotel industry. By understanding the sentiment of hotel reviews, businesses can strive to improve their services, enhance customer satisfaction, and make data-driven decisions to elevate the overall guest experience.

Deep Patel: https://www.linkedin.com/in/deep-patel-55ab48199/ Nikki Patel: https://www.linkedin.com/in/nikipatel9/ Nimil lathiya: https://www.linkedin.com/in/nimil-lathiya-059a281b1/

Stop relying on outdated and inaccurate contact data and let Wiza be your source of truth for all B2B contact data, phone number data, and email address data.

Why we're different: Wiza is not a static B2B contact database that gets refreshed on occasion. Every data point is sourced and verified the moment that you receive the information. We verify the deliverability of every single email ahead of providing the data, and we ensure that each person in your dataset has 100% job title and company 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 B2B contact data is sourced live, not stored in a limited database. When you tell us the type of person you would like to contact, we leverage LinkedIn data (the largest source of B2B contacts in the world) to find everyone who matches your ICP, and then we source the B2B contact data, email address data, and phone number data for each person in real-time.

High-Quality, Accurate Data: Wiza ensures the accuracy of all data points by taking a few key steps that other data providers fail to take: (1) Every email is SMTP verified ahead of delivery, ensuring they will not bounce. (2) Every person's LinkedIn profile is checked live to ensure we have 100% job title, company, location, etc., accuracy, ahead of providing any data. (3) Phone numbers are constantly being verified with AI to ensure accuracy.

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, and more!

Data Use-Cases: Wiza's B2B contact data, email address data, phone number data, address data, company data, and LinkedIn data can be used for a large variety of use cases. We see sales, marketing, and recruiting teams at startups to Fortune 500 companies leverage the breadth and quality of Wiza's data capabilities.

Let Wiza be your go-to source for all your contact data needs, ensuring you have the most up-to-date and accurate information at your fingertips.

Success.ai’s Retail Data for Retail Professionals in APAC offers a comprehensive and accurate dataset tailored for businesses and organizations aiming to connect with key players in the retail industry across the Asia-Pacific region. Covering roles such as retail managers, merchandisers, supply chain specialists, and executives, this dataset provides verified LinkedIn profiles, work emails, and professional histories.

With access to over 700 million verified global profiles, Success.ai ensures your outreach, marketing, and collaboration strategies are powered by continuously updated, AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to excel in the dynamic and competitive APAC retail market.

Why Choose Success.ai’s Retail Data?

1. Verified Contact Data for Precision Outreach

   • Access verified work emails, phone numbers, and LinkedIn profiles of retail professionals across APAC.
   • AI-driven validation ensures 99% accuracy, reducing inefficiencies and boosting engagement outcomes.

2. Comprehensive Coverage of APAC’s Retail Sector

   • Includes professionals from key retail hubs such as China, Japan, South Korea, India, Australia, and Southeast Asia.
   • Gain insights into market trends, consumer behavior, and retail innovations unique to the APAC region.

3. Continuously Updated Datasets

   • Real-time updates capture changes in roles, organizations, and industry dynamics.
   • Stay aligned with evolving trends and capitalize on emerging opportunities in the retail sector.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Global Profiles: Access detailed retail data for professionals and organizations across the APAC region.
• Verified Contact Details: Gain work emails, phone numbers, and LinkedIn profiles for precise targeting.
• Professional Histories: Understand career trajectories, areas of expertise, and contributions to the retail sector.
• Regional Insights: Leverage actionable data on consumer preferences, supply chain challenges, and market trends.

Key Features of the Dataset:

1. Comprehensive Retail Professional Profiles

   • Identify and connect with professionals managing retail operations, merchandising, supply chains, and customer engagement strategies.
   • Target decision-makers involved in e-commerce, brick-and-mortar retail, and omnichannel strategies.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (fashion, electronics, grocery), geographic location, or job function.
   • Tailor campaigns to align with specific business needs, such as technology adoption, marketing strategies, or vendor partnerships.

3. Regional and Industry-specific Insights

   • Leverage data on APAC’s retail trends, consumer purchasing patterns, and logistics challenges.
   • Refine strategies to align with unique market dynamics and customer expectations.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Marketing Campaigns and Outreach

   • Promote retail technology solutions, marketing tools, or supply chain services to retail professionals in the APAC region.
   • Use verified contact data for multi-channel outreach, including email, phone, and LinkedIn campaigns.

2. Partnership Development and Collaboration

   • Build relationships with retail chains, e-commerce platforms, and logistics providers seeking strategic partnerships.
   • Foster collaborations that enhance customer experiences, expand distribution networks, or improve operational efficiencies.

3. Market Research and Competitive Analysis

   • Analyze regional retail trends, consumer behavior, and supply chain innovations to refine product offerings and business strategies.
   • Benchmark against competitors to identify growth opportunities and high-demand solutions.

4. Recruitment and Talent Acquisition

   • Target HR professionals and hiring managers in the retail industry recruiting for roles in merchandising, operations, and digital transformation.
   • Provide workforce optimization platforms or training solutions tailored to the retail sector.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality retail data at competitive prices, ensuring strong ROI for your marketing, sales, and business outreach efforts.

2. Seamless Integration

   • Integrate verified retail data into CRM systems, analytics platforms, or marketing tools via APIs or downloadable formats, streamlining workflows and enhancing productivity.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide data-driven decisions, refine targeting, and boost conv...

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.

Success.ai’s Company Registry Data for Global Private Companies provides comprehensive, verified information on private company owners, directors, and key stakeholders worldwide. Sourced from over 170 million verified professional profiles and 30 million company profiles, this dataset includes work emails, direct phone numbers, and enriched details for private enterprises across multiple industries and regions. Whether you’re targeting growth-stage startups, family-owned businesses, or established private firms, Success.ai ensures your outreach is guided by reliable, continuously updated, and AI-validated contact data.

Why Choose Success.ai’s Global Private Companies Data?

1. Comprehensive Contact Information

   • Access verified work emails, phone numbers, and LinkedIn profiles for company owners, directors, board members, and key stakeholders.
   • AI-driven validation ensures 99% accuracy, providing you with a dependable foundation for your sales, marketing, or partnership initiatives.

2. Global Reach Across Private Sectors

   • Includes company data from North America, Europe, Asia-Pacific, South America, and the Middle East, spanning various industries, from manufacturing and retail to technology and finance.
   • Engage with decision-makers driving innovation, investment, and expansion in private companies worldwide.

3. Continuously Updated Datasets

   • Real-time updates ensure that your data remains current, allowing you to stay aligned with evolving company structures, leadership changes, and market dynamics.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other global data privacy regulations, ensuring your outreach activities remain both ethical and legally compliant.

Data Highlights:

• 170M+ Verified Professional Profiles: Includes directors, owners, and influential leaders within private companies.
• 50M Work Emails: AI-validated for precise communication and minimized bounce rates.
• 30M Company Profiles: Offering insights into organizational structures, ownership patterns, and operational footprints.
• 700M Global Professional Profiles: Enriched datasets to support comprehensive market analysis, business development, and strategic planning.

Key Features of the Dataset:

1. Private Company Decision-Maker Profiles

   • Identify and connect with owners, directors, shareholders, and C-level executives who shape corporate direction, investments, and partnerships.
   • Reach stakeholders who influence purchasing decisions, expansion strategies, and operational improvements.

2. Advanced Filters for Precision Targeting

   • Refine outreach by company size, industry, region, or specific corporate roles to ensure your messaging resonates with the right audience.
   • Tailor campaigns to align with unique market conditions, cultural factors, and regulatory environments.

3. AI-Driven Enrichment

   • Profiles are enriched with actionable data, providing the insights necessary for personalized communication, strategic offers, and enhanced engagement.

Strategic Use Cases:

1. Business Development and Partnership Initiatives

   • Engage with private company owners and directors to propose strategic alliances, co-marketing efforts, or joint ventures.
   • Identify opportunities for M&A activities, investment rounds, or technology collaborations to expand your market presence.

2. Sales and Lead Generation Campaigns

   • Target company leaders who oversee procurement, purchasing, or vendor selection processes.
   • Present products, services, or solutions directly to decision-makers who can approve and champion your offerings.

3. Market Research and Competitive Analysis

   • Utilize data on private companies to understand competitive landscapes, emerging trends, and strategic growth areas.
   • Gather intelligence on business models, supply chains, and distribution networks to inform long-term planning.

4. Talent Acquisition and Executive Search

   • Connect with HR professionals or board members to offer recruitment services, executive search capabilities, or talent consultancy.
   • Support private companies in finding skilled professionals essential for scaling operations and diversifying portfolios.

Why Choose Success.ai?

1. Best Price Guarantee

   • Acquire high-quality, verified data at competitive prices, ensuring a cost-effective approach to expanding your business network.

2. Seamless Integration

   • Integrate verified contact data into your CRM or marketing automation tools via APIs or downloadable formats, streamlining your data management processes.

3. Data Accuracy with AI Validation

   • Depend on 99% accuracy, enabling data-driven decisions, precise targeting, and efficient resource allocation in your outreach strategies.

4. Customizable and Scalable Solutions

   • Adapt datasets to focus on particular industries, regions, or company sizes, adjust...

The number of LinkedIn users in the Philippines was forecast to continuously increase between 2024 and 2028 by in total 2.9 million users (+30.95 percent). After the eighth consecutive increasing year, the LinkedIn user base is estimated to reach 12.24 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 Singapore and Myanmar.

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.

The number of LinkedIn users in Kenya was forecast to continuously increase between 2024 and 2028 by in total 1.7 million users (+51.83 percent). After the ninth consecutive increasing year, the LinkedIn user base is estimated to reach 4.97 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 Rwanda and Zambia.

This statistic shows a ranking of the estimated number of LinkedIn users in 2020 in Africa, differentiated by country. The user numbers 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 more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

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.