Job Postings Data for Talent Acquisition, HR Strategy & Market Research Canaria’s Job Postings Data product is a structured, AI-enriched dataset that captures and organizes millions of job listings from leading sources such as Indeed, LinkedIn, and other recruiting platforms. Designed for decision-makers in HR, strategy, and research, this data reveals workforce demand trends, employer activity, and hiring signals across the U.S. labor market and enhanced with advanced enrichment models.
The dataset enables clients to track who is hiring, what roles are being posted, which skills are in demand, where talent is needed geographically, and how compensation and employment structures evolve over time. With field-level normalization and deep enrichment, it transforms noisy job listings into high-resolution labor intelligence—optimized for strategic planning, analytics, and recruiting effectiveness.
Use Cases: What This Job Postings Data Solves This enriched dataset empowers users to analyze workforce activity, employer behavior, and hiring trends across sectors, geographies, and job categories.
Talent Acquisition & HR Strategy • Identify hiring trends by industry, company, function, and geography • Optimize job listings and outreach with enriched skill, title, and seniority data • Detect companies expanding or shifting their workforce focus • Monitor new roles and emerging skills in real time
Labor Market Research & Workforce Planning • Visualize job market activity across cities, states, and ZIP codes • Analyze hiring velocity and job volume changes as macroeconomic signals • Correlate job demand with company size, sector, or compensation structure • Study occupational dynamics using AI-normalized job titles • Use directional signals (job increases/declines) to anticipate market shifts
HR Analytics & Compensation Intelligence • Map salary ranges and benefits offerings by role, location, and level • Track high-demand or hard-to-fill positions for strategic workforce planning • Support compensation planning and headcount forecasting • Feed job title normalization and metadata into internal HRIS systems • Identify talent clusters and location-based hiring inefficiencies
What Makes This Job Postings Data Unique
AI-Based Enrichment at Scale • Extracted attributes include hard skills, soft skills, certifications, and education requirements • Modeled predictions for seniority level, employment type, and remote/on-site classification • Normalized job titles using an internal taxonomy of over 50,000 unique roles • Field-level tagging ensures structured, filterable, and clean outputs
Salary Parsing & Compensation Insights • Parsed salary ranges directly from job descriptions • AI-based salary predictions for postings without explicit compensation • Compensation patterns available by job title, company, and location
Deduplication & Normalization • Achieves approximately 60% deduplication rate through semantic and metadata matching • Normalizes company names, job titles, location formats, and employment attributes • Ready-to-use, analysis-grade dataset—fully structured and cleansed
Company Matching & Metadata • Each job post is linked to a structured company profile, including metadata • Records are cross-referenced with LinkedIn and Google Maps to validate company identity and geography • Enables aggregation at employer or location level for deeper insights
Freshness & Scalability • Updated hourly to reflect real-time hiring behavior and job market shifts • Delivered in flexible formats (CSV, JSON, or data feed) and customizable filters • Supports segmentation by geography, company, seniority, salary, title, and more
Who Uses Canaria’s Job Postings Data • HR & Talent Teams – to benchmark roles, optimize pipelines, and compete for talent • Consultants & Strategy Teams – to guide clients with labor-driven insights • Market Researchers – to understand employment dynamics and job creation trends • HR Tech & SaaS Platforms – to power salary tools, job market dashboards, or recruiting features • Economic Analysts & Think Tanks – to model labor activity and hiring-based economic trends • BI & Analytics Teams – to build dashboards that track demand, skill shifts, and geographic patterns
Summary Canaria’s Job Postings Data provides an AI-enriched, clean, and analysis-ready view of the U.S. job market. Covering millions of listings from Indeed, LinkedIn, other job boards, and ATS sources, it includes detailed job attributes, inferred compensation, normalized titles, skill extraction, and employer metadata—all updated hourly and fully structured.
With deep enrichment, reliable deduplication, and company matchability, this dataset is purpose-built for users needing workforce insights, market trends, and strategic talent intelligence. Whether you're modeling skill gaps, benchmarking compensation, or visualizing hiring momentum, this dataset provides a complete toolkit for HR and labor intelligence.
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Discover the "Job.com USA Jobs Dataset," a detailed resource that provides an in-depth look at the job market in the United States.
This dataset is sourced from Job.com, a leading employment platform in the USA, and includes comprehensive information on job listings across various industries and regions.
Key Features:
The Job.com USA Jobs Dataset offers valuable insights into the American job market, making it a crucial resource for job seekers, employers, and researchers alike. Use this dataset to stay ahead of market trends, explore employment opportunities, and gain a deeper understanding of job market dynamics in the United States.
Tired of guessing what's happening in the job market? Xverum's 13M+ job data gives you real-time insights into the dynamic world of work, empowering you to make data-driven decisions and stay ahead of the curve.
Why Xverum's employee data?
➨ Real-time intelligence: Get a pulse on the job market with daily updates from over 13 million job ads, revealing the latest trends and opportunities.
➨ Unrivaled data breadth: Access rich datasets, including employee data, job market data, recruiting data, and even Indeed data, giving you a comprehensive picture of the job landscape.
Actionable insights: Use Xverum's data to:
➨ Optimize your HR strategy: Identify in-demand skills, salary expectations, and talent pools to attract the best talent.
➨ Validate your B2B leads: Target companies actively hiring for your ideal clients, maximizing your marketing ROI.
➨ Unlock HR intelligence: Gain deeper insights into employee demographics, industry trends, and competitor hiring practices.
➨ Optimize talent acquisition: Attract the right talent with precision, ensuring your recruitment efforts are effective and efficient.
➨ Conduct in-depth labor market research: Analyze specific industries, regions, and job categories to inform your business strategies.
➨ Effortless integration: Our industry-standard CSV formats seamlessly integrate with your existing systems and tools for easy analysis.
➨ Historical data at your fingertips: Access past job trends, using 3 years of historical job data, to understand how the market has evolved and anticipate potential future opportunities.
Xverum's global HR data is your secret weapon for success in the dynamic job market. Contact us today to learn how it can transform your business!
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Enhance your workforce insights with comprehensive Employee Dataset, designed to help businesses improve recruitment strategies, track employment trends, and optimize workforce planning. This dataset provides structured and reliable employee data for HR professionals, recruiters, and analysts.
Dataset Features
Employee Profiles: Access detailed public employee data, including names, job titles, industries, locations, experience, and skills. Ideal for talent acquisition, workforce analytics, and competitive hiring strategies. Company Employment Data: Gain insights into company workforce distribution, employee tenure, hiring trends, and organizational structures. Useful for market research, HR benchmarking, and business intelligence. Job Listings & Open Positions: Track job postings, employment trends, and hiring patterns across industries. This data includes job titles, company names, locations, salary ranges, and job descriptions.
Customizable Subsets for Specific Needs Our Employee Dataset is fully customizable, allowing you to filter data based on industry, location, job role, or company size. Whether you need a broad dataset for market analysis or a focused subset for recruitment purposes, we tailor the dataset to your specific needs.
Popular Use Cases
Recruitment & Talent Sourcing: Identify top talent, analyze hiring trends, and enhance recruitment strategies with up-to-date employee data. HR Analytics & Workforce Planning: Optimize workforce management by tracking employee movement, industry hiring patterns, and job market trends. Competitive Intelligence: Monitor hiring activity, employee retention rates, and workforce distribution to gain insights into competitors’ strategies. Market Research & Business Expansion: Analyze employment trends to identify growth opportunities, emerging job markets, and industry shifts. AI & Predictive Analytics: Leverage structured employee data for AI-driven workforce predictions, job market forecasting, and HR automation.
Whether you're looking to improve recruitment, analyze workforce trends, or gain competitive insights, our Employee Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.
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The HR Professional Services Market report segments the industry into By Provider Type (Consulting Companies, Software-as-a-Service Companies), By Function Type (Recruitment And Talent Acquisition, Benefits And Claims Management, Workforce Planning and Analytics, Payroll And Compensation Management, Other Functions), By End User Industry (BFSI, Healthcare, IT and Telecom, Manufacturing, Retail, Government, and more), and By Region.
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The global HR analytics software market size was valued at approximately USD 2.5 billion in 2023 and is projected to reach USD 8.3 billion by 2032, growing at a robust CAGR of 14.2% from 2024 to 2032. This significant growth is fueled by the increasing need for data-driven decision-making in human resource management, which enhances productivity and operational efficiency. Technological advancements and the rising integration of AI and machine learning technologies in HR analytics software are also major contributors to market expansion.
One of the primary growth drivers for the HR analytics software market is the growing adoption of data analytics in decision-making processes within organizations. Businesses are increasingly recognizing the value of leveraging data to optimize their workforce, improve employee performance, and reduce turnover rates. HR analytics software provides valuable insights by analyzing vast amounts of employee data, enabling organizations to make informed decisions and align their HR strategies with business objectives. The rise of big data and advanced analytics tools have significantly enhanced the capabilities of HR analytics software, making it an indispensable tool for modern HR departments.
Another factor propelling the growth of the HR analytics software market is the increasing focus on enhancing employee experience and engagement. Organizations are now more than ever focused on creating a positive work environment to attract and retain top talent. HR analytics software allows companies to measure and analyze various aspects of employee engagement, such as job satisfaction, workplace culture, and employee morale. By gaining insights into these areas, organizations can implement targeted interventions to boost employee engagement, thereby improving overall productivity and reducing turnover rates.
The regulatory environment and compliance requirements are also playing a crucial role in driving the demand for HR analytics software. With governments and regulatory bodies worldwide imposing stringent regulations on labor practices, organizations are under pressure to ensure compliance with these laws. HR analytics software helps businesses track and manage compliance-related data, ensuring they adhere to all relevant regulations. This not only minimizes the risk of legal penalties but also promotes a fair and transparent work environment.
Regionally, North America is anticipated to hold the largest market share during the forecast period. The presence of major market players, coupled with the early adoption of advanced technologies, is driving the growth of the HR analytics software market in this region. The Asia-Pacific region, on the other hand, is expected to witness the highest growth rate, attributed to the rapid digital transformation and increasing adoption of HR analytics tools by emerging economies such as China and India. Europe's market is also growing steadily, supported by the strong emphasis on workforce analytics and data-driven HR practices across the region.
The HR analytics software market is segmented by components into software and services. The software segment encompasses various HR analytics tools and platforms that provide functionalities such as data collection, data analysis, and reporting. These tools help organizations make sense of vast amounts of employee data to derive actionable insights. The services segment, on the other hand, includes consulting, implementation, and support services that assist organizations in deploying and optimizing their HR analytics software.
The software segment holds the largest market share due to the increasing adoption of advanced analytics tools by organizations. Companies are investing significantly in HR analytics software to gain a competitive edge and optimize their workforce management processes. The growing integration of AI and machine learning technologies in HR analytics tools is further enhancing their capabilities, making them more efficient and user-friendly. The proliferation of cloud-based HR analytics software is also contributing to the growth of this segment, as it offers greater flexibility and scalability compared to on-premises solutions.
In the services segment, consulting services are in high demand as organizations seek expert advice on selecting the right HR analytics software and implementing it effectively. Implementation services are also crucial as they ensure the smooth deployment of HR analytics tools and their integration with existing syst
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Explore the "CareerBuilder US Jobs Dataset – August 2021," a valuable resource for understanding the dynamics of the American job market.
This dataset features detailed job listings from CareerBuilder, one of the largest employment websites in the United States, and provides a comprehensive snapshot of job postings as of August 2021.
Key Features:
By leveraging this dataset, you can gain valuable insights into the US job market as of August 2021, helping you stay ahead of industry trends and make informed decisions. Whether you're a job seeker, employer, or researcher, the CareerBuilder US Jobs Dataset offers a wealth of information to explore.
PredictLeads Job Openings Data provides real-time hiring insights sourced directly from company websites, ensuring the highest level of accuracy and freshness. Unlike job boards that rely on aggregated listings, our dataset delivers unmatched granularity on job postings, salary trends, and workforce demand - making it a powerful tool for HR, talent acquisition, and market analysis.
Use Cases: ✅ Job Boards Enhancement – Improve job listings with, high-quality postings. ✅ HR Consulting – Analyze hiring trends to guide workforce planning strategies. ✅ Employment Analytics – Track job market shifts, salary benchmarks, and demand for skills. ✅ HR Operations – Optimize recruitment pipelines with direct employer-sourced data. ✅ Competitive Intelligence – Monitor hiring activities of competitors for strategic insights.
Key API Attributes:
PredictLeads Docs: https://docs.predictleads.com/v3/guide/job_openings_dataset
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The global Comprehensive Human Resources (HR) Services market, valued at $7137 million in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 12.6% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing adoption of cloud-based HR solutions enhances efficiency and reduces operational costs for businesses of all sizes. Furthermore, a growing emphasis on employee engagement and retention strategies, coupled with the rising complexity of labor laws and regulations across diverse geographical regions, are significantly boosting demand for comprehensive HR services. The shift towards gig economies and remote work models necessitates sophisticated HR solutions for managing diverse workforces effectively. Technological advancements like AI-powered recruitment tools and data analytics platforms for performance management further contribute to market growth. Segmentation reveals a strong presence across various sectors, including automobile, finance, and healthcare, with recruitment services and employee management services dominating the types segment. The Asia-Pacific region, particularly China and India, is anticipated to witness substantial growth due to rapid economic expansion and a burgeoning workforce. However, challenges such as high implementation costs for advanced HR technologies and potential data security concerns could somewhat restrain the market’s overall expansion. The competitive landscape is fragmented, with numerous global players and regional firms vying for market share. Large multinational companies like ADP, ManpowerGroup, and Randstad dominate the global market, leveraging their established brand recognition and extensive service portfolios. However, smaller, specialized firms are thriving by offering niche services tailored to specific industry needs or geographical markets. The market is witnessing increased mergers and acquisitions, as larger firms seek to consolidate their market position and expand their service offerings. Future growth will likely be influenced by the adoption of emerging technologies such as blockchain for secure data management and the increasing integration of HR services with other enterprise resource planning (ERP) systems. The market's continued expansion will depend on successful navigation of evolving regulatory frameworks, and ongoing adaptation to shifting workforce dynamics and technological innovations.
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Human resources and benefits administration companies have experienced significant turbulence recently due to shifting economic conditions. COVID-19 initially caused a dramatic slowdown in many sectors, which forced numerous companies to cut back on discretionary spending systems, including HR services, as organizations downscaled operations and pivoted to internal HR solutions. In 2020, this resulted in a slight revenue decline, though federal interventions like the Paycheck Protection Program (PPP) partially mitigated potential financial stressors. Afterward, as the economic recovery commenced and unemployment figures dwindled to more consistent levels, corporations slowly began reintegrating HR and benefits services into their business models, supporting a notable revenue rebound in 2022. Beginning in 2022, higher interest rates and increasing fears of an economic recession dampened corporate enthusiasm for external HR expenditure, resulting in falling revenue in 2023 and 2024. Despite these hindrances, the past five years also saw rapid technological advancements and increased adoption of AI and machine learning solutions, enabling service providers to innovate their offerings and gain a competitive edge in a saturated market. Concurrently, market share concentration has declined as more companies have entered the industry in expectation of rising revenue streams in the near future. This has bolstered internal competition, putting downward pressure on profit. Overall, revenue for human resources and benefits administration companies has inched upward at a CAGR of 1.0% over the past five years, reaching $88.9 billion in 2025. This includes a 0.5% decline in revenue in that year. Looking ahead, providers anticipate a more optimistic trajectory. As GDP growth maintains a steady pace, generating more employment opportunities, demand for comprehensive HR services will likely see an upturn. Economic uncertainty remains due to tariffs being recently implemented, which may affect GDP growth and corporations' performance. While substitute competition becomes more prevalent due to the increased attractiveness of internal HR services, cloud-based solutions will become essential. Demand for wellness and diversity, equity and inclusion (DEI) initiatives will also swell, requiring providers to adapt to these trends for competitive advantage. Overall, revenue for human resources and benefits administration businesses is forecast to mount at a CAGR of 2.3% over the next five years, reaching $99.8 billion in 2030.
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The global HR software market size was valued at approximately USD 25 billion in 2023 and is projected to reach around USD 40 billion by 2032, growing at a compound annual growth rate (CAGR) of 5.4% over the forecast period. One key factor driving this growth is the increasing adoption of digital technologies by organizations to streamline and enhance their human resources operations.
One of the significant growth factors for the HR software market is the rising need for efficient talent management. As organizations continue to compete on a global scale, attracting and retaining top talent has become paramount. HR software provides tools that automate and optimize recruitment, onboarding, and employee retention processes. By leveraging data analytics, organizations can gain valuable insights into their workforce, enabling them to make informed decisions that align with their strategic goals. Furthermore, the integration of artificial intelligence (AI) and machine learning (ML) in HR software is revolutionizing how companies handle talent management, making it more dynamic and efficient.
Another pivotal factor contributing to the market's growth is the increasing emphasis on employee engagement and experience. Modern HR software solutions are designed not just to manage employee records but also to enhance the overall employee experience. Features like self-service portals, mobile accessibility, and personalized dashboards allow employees to interact seamlessly with HR processes. This shift towards a more employee-centric approach helps in improving job satisfaction and productivity, which in turn positively impacts the overall business performance. Additionally, the COVID-19 pandemic has accelerated the adoption of remote work and virtual collaboration tools, further boosting the demand for comprehensive HR software solutions.
The growing regulatory compliance requirements across various regions also play a crucial role in driving the HR software market. Organizations need to comply with numerous laws and regulations related to labor, tax, and employee benefits. HR software helps in automating compliance management, reducing the risk of non-compliance penalties. By centralizing all compliance-related data and processes, these solutions ensure that organizations are always up-to-date with the latest regulatory changes. This not only saves time and resources but also provides peace of mind to HR professionals, allowing them to focus on strategic initiatives rather than administrative tasks.
HR Analytics Software is becoming an integral part of modern HR solutions, enabling organizations to harness the power of data-driven insights. By integrating analytics capabilities, HR software allows companies to analyze vast amounts of employee data, uncovering trends and patterns that can inform strategic HR decisions. This software helps in identifying high-performing employees, predicting turnover risks, and optimizing recruitment strategies. As organizations strive to enhance their workforce management, HR Analytics Software provides the tools needed to make informed decisions, improve employee engagement, and drive business success. The ability to transform raw data into actionable insights is a key differentiator for businesses looking to stay competitive in today's dynamic environment.
From a regional perspective, North America holds a significant share of the HR software market, driven by the early adoption of advanced technologies and the presence of major market players. Europe also represents a substantial market due to stringent regulatory requirements and a high focus on employee well-being. The Asia Pacific region is expected to witness the highest growth rate, attributed to the rapid digital transformation of businesses and increasing investments in HR technologies. Countries like India and China are emerging as key markets due to their expanding corporate sector and growing awareness about the benefits of HR software.
The HR software market by component is segmented into software and services. The software segment is further divided into various types such as core HR, talent management, payroll, workforce management, recruitment, and others. Among these, the core HR software holds a significant share due to its essential role in managing employee data, organizational hierarchy, and compliance management. Core HR software acts as the foundational element that supports other HR func
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Human Resources Market size was valued at USD 19.97 Billion in 2023 and is projected to reach USD 43.35 Billion by 2031, growing at a CAGR of 10.17% during the forecast period 2024-2031.
Global Human Resources Market Drivers
The market drivers for the Human Resources Market can be influenced by various factors. These may include:
Technological Advancements: AI, machine learning, cloud-based solutions, and other innovations in HR technology are improving HR procedures including payroll, performance management, employee engagement, and hiring.
Growing Adoption Of HR Analytics: Employing data analytics in HR helps businesses make wise decisions, maximize personnel management, and boost worker productivity.
Transition To Remote And Mixed Work Models: Robust HR solutions are required to manage remote teams, maintain employee engagement and productivity, and assure compliance in the increasingly popular remote and hybrid work settings.
Requirements For Regulatory Compliance: Strict labor laws and regulations are forcing businesses to implement cutting-edge HR systems in order to guarantee compliance and stay out of trouble with the law.
Emphasis On Employee Experience And Engagement: Businesses are investing more in HR technology that help them achieve these objectives as a result of their growing emphasis on employee happiness, engagement, and well-being.
Challenges in Hiring And Retaining Talent: Businesses are using advanced HR tools to implement efficient recruiting and retention strategies due to the competitive employment market and the need to attract and retain top personnel.
The Gig Economy Is Growing: and with it comes the need for HR solutions that can handle varied and non-traditional workforces. This includes the development of gig and freelance labor.
Corporate Expansion And Economic Growth: As a result of corporate expansion, there is a growing need for comprehensive HR solutions to handle increasingly complicated and sizable workforces.
Workforce Diversity And Inclusion Efforts: Employers are pushing the use of HR technology that facilitate diversity, equity, and inclusion (DEI) efforts in order to create diverse and inclusive workplaces.
Enhancement Of Learning And Development Programs: A greater focus on employee training and development has resulted in the adoption of HR solutions that provide possibilities for career development and individualized learning.
LinkedIn Job Postings Data - Comprehensive Professional Intelligence for HR Strategy & Market Research
LinkedIn Job Postings Data represents the most comprehensive professional intelligence dataset available, delivering structured insights across millions of LinkedIn job postings, LinkedIn job listings, and LinkedIn career opportunities. Canaria's enriched LinkedIn Job Postings Data transforms raw LinkedIn job market information into actionable business intelligence—normalized, deduplicated, and enhanced with AI-powered enrichment for deep workforce analytics, talent acquisition, and market research.
This premium LinkedIn job postings dataset is engineered to help HR professionals, recruiters, analysts, and business strategists answer mission-critical questions: • What LinkedIn job opportunities are available in target companies? • Which skills are trending in LinkedIn job postings across specific industries? • How are companies advertising their LinkedIn career opportunities? • What are the salary expectations across different LinkedIn job listings and regions?
With real-time updates and comprehensive LinkedIn job posting enrichment, our data provides unparalleled visibility into LinkedIn job market trends, hiring patterns, and workforce dynamics.
Use Cases: What This LinkedIn Job Postings Data Solves
Our dataset transforms LinkedIn job advertisements, market information, and career listings into structured, analyzable insights—powering everything from talent acquisition to competitive intelligence and job market research.
Talent Acquisition & LinkedIn Recruiting Intelligence • LinkedIn job market mapping • LinkedIn career opportunity intelligence • LinkedIn job posting competitive analysis • LinkedIn job skills gap identification
HR Strategy & Workforce Analytics • Organizational network analysis • Employee mobility tracking • Compensation benchmarking • Diversity & inclusion analytics • Workforce planning intelligence • Skills evolution monitoring
Market Research & Competitive Intelligence • Company growth analysis • Industry trend identification • Competitive talent mapping • Market entry intelligence • Partnership & business development • Investment due diligence
LinkedIn Job Market Research & Economic Analysis • Regional LinkedIn job analysis • LinkedIn job skills demand forecasting • LinkedIn job economic impact assessment • LinkedIn job education-industry alignment • LinkedIn remote job trend analysis • LinkedIn career development ROI
What Makes This LinkedIn Job Postings Data Unique
AI-Enhanced LinkedIn Job Intelligence • LinkedIn job posting enrichment with advanced NLP • LinkedIn job seniority classification • LinkedIn job industry expertise mapping • LinkedIn job career progression modeling
Comprehensive LinkedIn Job Market Intelligence • Real-time LinkedIn job postings with salary, requirements, and company insights • LinkedIn recruiting activity tracking • LinkedIn job application analytics • LinkedIn job skills demand analysis • LinkedIn compensation intelligence
Company & Organizational Intelligence • Company growth indicators • Cultural & values intelligence • Competitive positioning
LinkedIn Job Data Quality & Normalization • Advanced LinkedIn job deduplication • LinkedIn job skills taxonomy standardization • LinkedIn job geographic normalization • LinkedIn job company matching • LinkedIn job education standardization
Who Uses Canaria's LinkedIn Data
HR & Talent Acquisition Teams • Optimize recruiting pipelines • Benchmark compensation • Identify talent pools • Develop data-driven hiring strategies
Market Research & Intelligence Analysts • Track industry trends • Build competitive intelligence models • Analyze workforce dynamics
HR Technology & Analytics Platforms • Power recruiting tools and analytics solutions • Fuel compensation engines and dashboards
Academic & Economic Researchers • Study labor market dynamics • Analyze career mobility trends • Research professional development
Government & Policy Organizations • Evaluate workforce development programs • Monitor skills gaps • Inform economic initiatives
Summary
Canaria's LinkedIn Job Postings Data delivers the most comprehensive LinkedIn job market intelligence available. It combines job posting insights, recruiting intelligence, and organizational data in one unified dataset. With AI-enhanced enrichment, real-time updates, and enterprise-grade data quality, it supports advanced HR analytics, talent acquisition, job market research, and competitive intelligence.
About Canaria Inc. Canaria Inc. is a leader in alternative data, specializing in job market intelligence, LinkedIn company data, Glassdoor salary analytics, and Google Maps location insights. We deliver clean, structured, and enriched datasets at scale using proprietary data scraping pipelines and advanced AI/LLM-based modeling, all backed by human validation. Our platform also includes Google Maps data, providing verified business location intelligen...
Indeed Data Company & Job Postings Data for Talent Acquisition, HR Analytics, Business Development & Market Research
Indeed Data Company and Job Postings Data from Canaria provide one of the most comprehensive and actionable alternative data sources for understanding U.S. workforce demand, employer hiring behavior, salary trends, and regional labor market signals. Our enriched Indeed Data combines millions of detailed job postings with verified company data, salary intelligence, and Google Maps metadata—delivered in a clean, normalized, and deduplicated format that is matchable with trusted company profiles.
This Indeed Data product empowers HR, recruiting, sales, and strategy teams to answer critical questions: Who is hiring? Which roles and skills are in demand? What are the salary benchmarks? Where are talent hotspots? Updated weekly with AI-driven enrichment and deep field-level granularity, Canaria’s Indeed Data offers a high-resolution, actionable view of the U.S. labor market for industries and regions.
Use Cases: Unlocking Value with Indeed Data Company & Job Postings Data Our enriched Indeed Data transforms raw job postings into structured, analyzable insights—enabling critical workflows in:
Talent Acquisition & HR Analytics • Identify hiring trends by industry, company, location, and role specialization using Indeed Data • Benchmark competitor job descriptions, salary ranges, and benefits with Indeed Data insights • Optimize recruiting based on in-demand skills, certifications, and seniority levels derived from Indeed Data • Prioritize outreach to companies expanding hiring using real-time Indeed Data signals • Detect emerging roles, skill clusters, and shifts in talent demand through Indeed Data’s job title taxonomies
Business Development & CRM Data Enrichment • Enrich CRM and sales platforms with up-to-date hiring activity signals from Indeed Data • Identify growth and expansion opportunities by linking Indeed Data job postings with firmographics and Google Maps • Enhance lead scoring and sales targeting using Indeed Data hiring momentum and salary intelligence • Build dynamic marketing and outreach cohorts based on Indeed Data hiring behavior and labor market activity
Labor Market Research & Workforce Strategy • Analyze labor demand trends by geography and sector with Indeed Data job postings • Correlate hiring and salary trends with company size, industry, and location using Indeed Data insights • Monitor occupational growth or decline via Indeed Data’s normalized job titles and enriched fields • Support workforce planning, consulting, and government research with high-quality Indeed Data labor signals • Build predictive models and skills gap analyses powered by AI-enhanced Indeed Data
Why Choose Canaria’s Indeed Data & Job Postings Data? AI-Powered Data Enrichment & Normalization • Extracts and normalizes hard skills, soft skills, certifications, education levels, and employment type from Indeed Data job descriptions • Predicts job seniority, modality (remote, onsite, hybrid), and contract/full-time status with advanced NLP applied to Indeed Data • Maps millions of raw job titles from Indeed Data into a comprehensive taxonomy of 50,000+ standardized categories • Estimates salary ranges using parsed salaries and market benchmarks to fill gaps in Indeed Data
Deduplication & Matchability • Achieves approximately 60% deduplication using semantic similarity and metadata, ensuring clean, reliable Indeed Data • Normalizes job titles, company names, locations, and employment types for consistent Indeed Data integration • Matches every Indeed Data job posting to normalized, verified company profiles enriched with firmographics and Google Maps metadata • Enables employer-level aggregation, benchmarking, and hiring activity profiling based on Indeed Data
Who Benefits from Canaria’s Indeed Data & Job Postings Data? • HR & Talent Acquisition Teams leveraging Indeed Data to optimize recruiting pipelines, compensation benchmarking, and talent market positioning • Business Development & Sales Teams using Indeed Data hiring signals and enriched company data for lead generation and account targeting • Workforce Planners & Labor Market Analysts building predictive models and economic forecasts powered by Indeed Data insights • Consultants & Researchers performing labor market studies, competitive benchmarking, and skills gap analyses with Indeed Data • B2B Platforms & HR Tech Companies powering salary tools, recruitment analytics, and talent intelligence dashboards with Indeed Data • Government Agencies & Think Tanks monitoring employment trends and informing workforce policy using Indeed Data • BI & Analytics Teams visualizing hiring velocity, talent clusters, and compensation patterns with Indeed Data
Summary Canaria’s Indeed Data Company & Job Postings Data provides an AI-enhanced, normalized, and deduplicated view of the U.S. labor market—blending millions of job postings, salary data, company ...
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Mexico Payroll And HR Solutions And Services Market size was valued at USD 26,500.01 Million in 2023 and is projected to reach USD 55,738.34 Million by 2031, growing at a CAGR of 9.64% from 2024 to 2031.
Mexico Payroll And HR Solutions And Services Market Overview
Payroll and HR solutions and services cover various offers to streamline and manage different parts of human resource management and payroll processing within businesses. At their heart, these solutions seek to automate administrative chores, assure regulatory compliance, and improve efficiency in managing personnel procedures. Payroll processing is an essential component of payroll and HR solutions since it requires precise computing of salaries, deductions, and taxes for employees by local legislation. It guarantees that employees are paid on schedule and without errors, which is critical for employee satisfaction and legal compliance. Another critical part is benefits administration, which includes handling employee benefits such as health insurance, retirement programs, and other employer-provided perks, involving enrolling, making modifications, and ensuring that benefits are provided effectively by employee preferences and legal standards.
HR management software frequently includes recruiting and applicant monitoring modules, making hiring more accessible, from job advertising to onboarding. These solutions expedite applicant sourcing, screening, and hiring procedures, allowing HR teams to effectively discover and onboard the appropriate personnel. Additionally, time and attendance management is required to track employee work hours, leaves, and absences. Modern solutions frequently connect biometric or electronic timekeeping systems with payroll systems to enable precise recording and processing of attendance data, decreasing mistakes and assuring labor law compliance. Furthermore, employee self-service portals are becoming more widespread, allowing employees to access payroll information, perks, and personal data such as tax forms and performance reports. These portals empower workers by providing immediate access to critical HR information while minimizing administrative demands on HR personnel. The Mexican payroll and HR solutions and services market has grown and transformed significantly in recent years, owing to the country's changing legislative framework and the rising use of technology in human resource management.
Companies in Mexico must comply with stringent labor rules and regulations governing payroll processing and human resource management. These rules frequently force firms to comply with stringent reporting requirements, tax duties, and employee perks, which can be challenging to manage without the necessary knowledge and resources. As a result, there is an increasing demand for payroll and HR systems that can automate procedures, maintain compliance, and boost efficiency. The payroll and human resource services sector in Mexico is characterized by various providers offering various solutions customized to the demands of different sectors and company sizes. Large multinational firms and small and medium-sized businesses (SMEs) are increasingly outsourcing payroll and human resources services to specialist service providers. These companies provide payroll processing, tax computation and compliance, employee benefits administration, time and attendance management, and HR analytics.
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Human Resource (HR) Professional Services Market Overview: The global HR Professional Services market is projected to grow from USD XXX million in 2025 to USD XXX million by 2033, exhibiting a CAGR of XX% during the forecast period. The rising demand for cost-effective and efficient HR solutions, the growing adoption of cloud-based HR systems, and the increasing need for workforce optimization and talent acquisition are the primary drivers of this growth. Moreover, the increasing adoption of digital HR platforms and the growing trend of remote work are further fueling the market's expansion. North America and Europe are the leading regions in terms of market share, due to the high adoption of advanced HR technologies and the presence of numerous industry players. Asia Pacific is expected to witness significant growth in the coming years, driven by the expanding workforce and the growing awareness of HR best practices in the region. Market Segments and Key Players: Based on application, the market is segmented into Founding Stage, Growth Stage, Maturity Stage, Innovation Stage. In terms of types, it is categorized into Dispatch Employment, HR Service Outsourcing, Talent Hunting, HR Consulting, Online Recruitment, and Others. The prominent companies in the HR Professional Services market include LinkedIn, The Adecco Group, Randstad, ManpowerGroup, Recruit, ADP, Persol, HAYS, Kelly Services, Robert Half, MERCER, Willis Towers Watson, Insperity, TriNet Group, Aon Hewitt, PAYCHEX, IMPELLAM GROUP, SYNERGIE, Groupe Crit, ASGN, TRUEBLUE, Workday, PageGroup, Adcorp, House of HR, KORN FERRY, Sthree, ROBERT WALTERS, KFORCE, and KRONOS. These companies are focusing on developing innovative HR solutions, expanding their geographical presence, and acquiring smaller players to strengthen their market position.
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📂 Dataset Title:
AI Impact on Job Market: Increasing vs Decreasing Jobs (2024–2030)
📝 Dataset Description:
This dataset explores how Artificial Intelligence (AI) is transforming the global job market. With a focus on identifying which jobs are increasing or decreasing due to AI adoption, this dataset provides insights into job trends, automation risks, education requirements, gender diversity, and other workforce-related factors across industries and countries.
The dataset contains 30,000 rows and 13 valuable columns, generated to reflect realistic labor market patterns based on ongoing research and public data insights. It can be used for data analysis, predictive modeling, AI policy planning, job recommendation systems, and economic forecasting.
📊 Columns Description:
Column Name Description
Job Title Name of the job/role (e.g., Data Analyst, Cashier, etc.) Industry Industry sector in which the job is categorized (e.g., IT, Healthcare, Manufacturing) Job Status Indicates whether the job is Increasing or Decreasing due to AI adoption AI Impact Level Estimated level of AI impact on the job: Low, Moderate, or High Median Salary (USD) Median annual salary for the job in USD Required Education Typical minimum education level required for the job Experience Required (Years) Average number of years of experience required Job Openings (2024) Number of current job openings in 2024 Projected Openings (2030) Projected job openings by the year 2030 Remote Work Ratio (%) Estimated percentage of jobs that can be done remotely Automation Risk (%) Probability of the job being automated or replaced by AI Location Country where the job data is based (e.g., USA, India, UK, etc.) Gender Diversity (%) Approximate percentage representation of non-male genders in the job
🔍 Potential Use Cases:
Predict which jobs are most at risk due to automation.
Compare AI impact across industries and countries.
Build dashboards on workforce diversity and trends.
Forecast job market shifts by 2030.
Train ML models to predict job growth or decline.
📚 Source:
This is a synthetic dataset generated using realistic modeling, public job data patterns (U.S. BLS, OECD, McKinsey, WEF reports), and AI simulation to reflect plausible scenarios from 2024 to 2030. Ideal for educational, research, and AI project purposes.
📌 License: MIT
Human Resource Technology Market Size 2025-2029
The human resource (HR) technology market size is forecast to increase by USD 18.31 billion, at a CAGR of 8.4% between 2024 and 2029.
The market is experiencing significant growth, driven by several key trends. One of the most notable trends is the increasing adoption of HR technology among Small and Medium-sized Enterprises (SMEs). This is due to the cost savings and efficiency gains that HR technology can provide. Another trend is the integration of artificial intelligence (AI) in HR solutions, which is enabling more accurate and data-driven hiring decisions. However, the market also faces challenges, including data security and privacy concerns. As companies adopt more advanced HR technologies, ensuring the security and confidentiality of employee data becomes a top priority. This report provides a comprehensive analysis of these trends and challenges, offering insights into the future growth prospects of the HR technology market.
What will be the Size of the human resource (HR) technology Market During the Forecast Period?
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The market is experiencing significant growth and transformation, driven by the increasing demand for digital solutions to enhance workplace culture, productivity, and employee engagement. AI chatbots and people analytics are leading tech trends, automating routine HR tasks and providing valuable insights for leadership in areas such as talent retention, employee development, and diversity and inclusion. Cloud-based HR software solutions enable remote team management, compliance, and outsourcing, while also facilitating process automation and ethics in areas like recruitment and employee onboarding.
Employee well-being and benefits are also key focus areas, with technology playing a crucial role in employee productivity, engagement strategies, and communication. Digital transformation is a top priority for organizations, with HR technology adoption becoming essential for effective workforce planning and branding. Employee reskilling and diversity and inclusion are also critical areas of focus, as companies seek to stay competitive and foster a culture of innovation and continuous improvement.
How is this human resource (HR) technology Industry segmented and which is the largest segment?
The human resource (HR) technology industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Application
Payroll processing
Applicant management
Learning and development
Talent management
Others
End-user
Large enterprises
Small and medium enterprises (SMEs)
Government organizations
Non-profit organizations
Geography
North America
Canada
US
Europe
Germany
UK
France
APAC
China
India
Japan
South America
Brazil
Middle East and Africa
By Application Insights
The payroll processing segment is estimated to witness significant growth during the forecast period.
The market encompasses a variety of solutions for managing payroll processing, workforce management, recruitment, and employee experience. Payroll processing solutions are essential, automating salary calculations, tax deductions, benefits management, and pay slip generation. Automated payroll systems streamline the process, reducing HR administrative burden and minimizing errors. Compliance features ensure adherence to local and global payroll regulations. Other HR technologies include cloud-based workforce management tools for scheduling, time tracking, and attendance monitoring, and recruitment platforms for streamlining the hiring process. Employee experience platforms focus on enhancing employee engagement and satisfaction. Payroll processing solutions remain a crucial application within the HR technology market, ensuring accurate and timely compensation for employees while maintaining regulatory compliance.
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The payroll processing segment was valued at USD 5.47 billion in 2019 and showed a gradual increase during the forecast period.
Regional Analysis
North America is estimated to contribute 42% to the growth of the global market during the forecast period.
Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
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The North American market is driven by the high adoption rate of advanced HR solutions among businesses of all sizes, with small businesses playing a pivotal role. in the United States, there were approximately 34 million small bus
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According to Cognitive Market Research, the global HR Analytics market size will be USD 2.07 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 14.2% from 2024 to 2031. Key Dynamics of Subsea Production Tree Market
Key Drivers of
HR Analytics Market
Demand for Data-Driven Talent Management: Organizations are increasingly depending on data analytics to improve recruitment, retention, and performance management. HR analytics provides predictive insights into employee behavior, assisting businesses in making informed decisions, minimizing turnover, and aligning talent strategies with business goals, thereby promoting swift market adoption across various industries.
Rise in Remote Work and Workforce Digitization: As companies transition to hybrid and remote work models, they are utilizing analytics to track productivity, engagement, and collaboration trends. HR analytics tools deliver real-time workforce intelligence and facilitate agile HR strategies—stimulating demand in a digitally transforming workplace environment.
Integration of AI and Machine Learning: AI-driven HR analytics solutions assist in revealing intricate patterns within workforce data, allowing for predictive hiring, diversity assessments, and skills gap evaluations. These technologies enhance HR's strategic function, mitigate bias, and improve decision-making precision—accelerating the growth of smart HR platform adoption.
Key Restraints for
HR Analytics Market
Concerns Over Data Privacy and Employee Trust: The gathering and analysis of employee data can lead to ethical dilemmas and privacy concerns, particularly under regulations such as GDPR or CCPA. Mismanagement or a lack of transparency in data handling can erode employee trust and lead to legal complications—impeding comprehensive implementation.
Lack of Skilled Professionals and Analytical Maturity: Numerous HR teams do not possess the technical skills required to interpret complex analytics or incorporate them into decision-making processes. Furthermore, smaller organizations may face challenges with inadequate data quality, isolated systems, and constrained budgets, which limit the effective utilization of HR analytics platforms.
Resistance to Change in Traditional HR Practices: Cultural resistance and a dependence on intuition-driven decision-making frequently hinder the implementation of analytics. HR departments that adhere to traditional methods may hesitate to transition to evidence-based frameworks, which can impede transformation initiatives and postpone tangible returns on investment.
Key Trends in
HR Analytics Market
Focus on Employee Experience and Sentiment Analysis: Organizations are utilizing analytics to monitor engagement, burnout, and satisfaction through surveys, communication tools, and sentiment analysis. This trend facilitates proactive measures and promotes a data-driven approach to enhancing employee experience and workplace culture.
Adoption of Cloud-Based and Integrated HR Platforms: HR analytics is progressively being integrated into comprehensive Human Capital Management (HCM) suites hosted on cloud platforms. These systems provide seamless integration, scalability, and real-time insights—allowing for centralized data governance and improving the speed and accuracy of decision-making.
Use of People Analytics in Strategic Workforce Planning: Companies are employing analytics to simulate workforce scenarios, plan for succession, and align skills with anticipated business requirements. People analytics assists in identifying talent shortages and preparing workforce capabilities for the future, positioning HR as a vital player in long-term strategic planning. Introduction of the HR Analytics Market
HR Analytics also referred to the increasing demand for data-driven decision-making in human resources, has propelled organizations to adopt analytics to understand workforce dynamics better, optimize recruitment processes, and enhance employee engagement and retention strategies. Secondly, advancements in technology, particularly in artificial intelligence and machine learning, have enabled more sophisticated analysis of HR data, allowing for predictive analytics that can forecast trends and behaviors. Additionally, the growing availability and affordability of cloud-based HR analytics solutions have democratized access to th...
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The HR SaaS Market report segments the industry into By Enterprise Size (SMEs, Large Enterprise), By Solution (Time & Attendance Management, Absence Management, Human Resource (HR) And Payroll, Other Solutions), By End-user (BFSI, Healthcare, IT and Telecom, Manufacturing, Other End-users), and By Geography (North America, Europe, Asia, Australia and New Zealand, Latin America, Middle East and Africa).
Job Postings Data for Talent Acquisition, HR Strategy & Market Research Canaria’s Job Postings Data product is a structured, AI-enriched dataset that captures and organizes millions of job listings from leading sources such as Indeed, LinkedIn, and other recruiting platforms. Designed for decision-makers in HR, strategy, and research, this data reveals workforce demand trends, employer activity, and hiring signals across the U.S. labor market and enhanced with advanced enrichment models.
The dataset enables clients to track who is hiring, what roles are being posted, which skills are in demand, where talent is needed geographically, and how compensation and employment structures evolve over time. With field-level normalization and deep enrichment, it transforms noisy job listings into high-resolution labor intelligence—optimized for strategic planning, analytics, and recruiting effectiveness.
Use Cases: What This Job Postings Data Solves This enriched dataset empowers users to analyze workforce activity, employer behavior, and hiring trends across sectors, geographies, and job categories.
Talent Acquisition & HR Strategy • Identify hiring trends by industry, company, function, and geography • Optimize job listings and outreach with enriched skill, title, and seniority data • Detect companies expanding or shifting their workforce focus • Monitor new roles and emerging skills in real time
Labor Market Research & Workforce Planning • Visualize job market activity across cities, states, and ZIP codes • Analyze hiring velocity and job volume changes as macroeconomic signals • Correlate job demand with company size, sector, or compensation structure • Study occupational dynamics using AI-normalized job titles • Use directional signals (job increases/declines) to anticipate market shifts
HR Analytics & Compensation Intelligence • Map salary ranges and benefits offerings by role, location, and level • Track high-demand or hard-to-fill positions for strategic workforce planning • Support compensation planning and headcount forecasting • Feed job title normalization and metadata into internal HRIS systems • Identify talent clusters and location-based hiring inefficiencies
What Makes This Job Postings Data Unique
AI-Based Enrichment at Scale • Extracted attributes include hard skills, soft skills, certifications, and education requirements • Modeled predictions for seniority level, employment type, and remote/on-site classification • Normalized job titles using an internal taxonomy of over 50,000 unique roles • Field-level tagging ensures structured, filterable, and clean outputs
Salary Parsing & Compensation Insights • Parsed salary ranges directly from job descriptions • AI-based salary predictions for postings without explicit compensation • Compensation patterns available by job title, company, and location
Deduplication & Normalization • Achieves approximately 60% deduplication rate through semantic and metadata matching • Normalizes company names, job titles, location formats, and employment attributes • Ready-to-use, analysis-grade dataset—fully structured and cleansed
Company Matching & Metadata • Each job post is linked to a structured company profile, including metadata • Records are cross-referenced with LinkedIn and Google Maps to validate company identity and geography • Enables aggregation at employer or location level for deeper insights
Freshness & Scalability • Updated hourly to reflect real-time hiring behavior and job market shifts • Delivered in flexible formats (CSV, JSON, or data feed) and customizable filters • Supports segmentation by geography, company, seniority, salary, title, and more
Who Uses Canaria’s Job Postings Data • HR & Talent Teams – to benchmark roles, optimize pipelines, and compete for talent • Consultants & Strategy Teams – to guide clients with labor-driven insights • Market Researchers – to understand employment dynamics and job creation trends • HR Tech & SaaS Platforms – to power salary tools, job market dashboards, or recruiting features • Economic Analysts & Think Tanks – to model labor activity and hiring-based economic trends • BI & Analytics Teams – to build dashboards that track demand, skill shifts, and geographic patterns
Summary Canaria’s Job Postings Data provides an AI-enriched, clean, and analysis-ready view of the U.S. job market. Covering millions of listings from Indeed, LinkedIn, other job boards, and ATS sources, it includes detailed job attributes, inferred compensation, normalized titles, skill extraction, and employer metadata—all updated hourly and fully structured.
With deep enrichment, reliable deduplication, and company matchability, this dataset is purpose-built for users needing workforce insights, market trends, and strategic talent intelligence. Whether you're modeling skill gaps, benchmarking compensation, or visualizing hiring momentum, this dataset provides a complete toolkit for HR and labor intelligence.
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