The global human resources (HR) analytics market is predicted to reach USD 2.46 billion in 2024 and USD 6.87 billion by 2032, growing at a CAGR of 13.7% during the forecast period.
Human resource analytics includes business analysis and data mining solutions that process information generated by human resource activities like performance management, employee acquisition, engagement, support, compensation, training, etc., and improve these basic human resource functions. HR analysis increases the productivity of HR personnel by predicting important metrics such as retention, performance, and workforce management opportunities and provides extensive modeling capabilities for workforce planning. HR analysis also analyses the business scenarios surrounding these functions, guiding HR managers to obtain necessary information. This leads to more relevant decisions and appropriate and timely actions. Analytical solutions test the effectiveness of human resources policies and various interventions and make it possible to rationalize the various human resources policies. HR analytics solutions offer integrated functionality for small, medium, and large businesses. These solutions help streamline human resources and business intelligence functions, improving a company's operational efficiency. Human resource analysis involves data collection, data cleaning, data management, forecasting, and visualization. Integrate and correlate data to provide relevant, actionable, and timely information to improve performance and return on investment.
Human resource analytics integrates statistical models and data analysis tools to gather, measure, and process information related to employee and workforce performance, which senior managers also use to create strategies and improve employee decisions. Providing clearer business information, anticipating disruptions before the attack, and strengthening organizational values and team coherence are some of the benefits of analyzing human resources within the organization.
The global HR analytics market is primarily driven by the growing demand for cloud-based solutions. Cloud-based solutions are cost-effective, allowing easy and convenient data storage and download to the cloud. Also, the increasing globalization of the workforce should encourage the adoption of human resource analysis solutions by small, medium, and large companies. The rise in the adoption of human resources analysis solutions in small and medium-sized enterprises is expected to drive the human resources analysis market during the outlook period.
REPORT METRIC |
DETAILS |
Market Size Available |
2023 to 2032 |
Base Year |
2023 |
Forecast Period |
2024 to 2032 |
CAGR |
13.7% |
Segments Covered |
By Component, Application Area, Organization Size, Deployment Mode, Vertical, and Region |
Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
Market Leaders Profiled |
IBM Corporation, Cognizant Technology Solutions Corp., Accenture plc, Infosys Limited, ADP LLC, Ascentis Software Corporation, Genpact Ltd., Cornerstone OnDemand, Inc., Oracle Corporation, Beeline, Kronos, Inc., GainInsights Solutions Pvt. Ltd., Paylocity, Nakisa, Inc., PeopleFluent Companies, SAP SE, PeopleStreme Pty. Ltd., Tableau Software Inc., Visier, Inc., TALENTSOFT, WorkForce Software LLC, PeopleAdmin, SumTotal Systems Inc., Kenexa Corporation, Taleo Corporation, Halogen Software Inc and Workday, Inc and Others. |
Among the components, the software segment is likely to maintain a larger size during the forecast period. Human resource analysis allows companies to analyze human resource data from various human resource systems and draw conclusions based on the analysis. By leveraging HR analytics, companies can improve their performance in terms of recruiting, retaining, and engaging employees. It also helps HR departments to make better decisions based on their data. It also improves the overall employee experience and hires them better.
The type of cloud deployment to achieve a higher CAGR during the forecast period. Businesses today expect their solutions to be deployed in the cloud, as it offers several benefits, including scalability, flexibility in capacity, improved collaboration, and profitability. The implementation of cloud-based HR analysis makes it easier for small and medium-sized enterprises (SMEs) and large businesses to focus on their core skills rather than IT processes. With cloud-based HR analysis, organizations can avoid software, storage, and personnel costs and technical staff.
Depending on the size of the company, the HR analysis market can be divided into small and medium-sized enterprises (SMEs) and large companies. Small and medium-sized enterprises (SMEs) are companies with a workforce of between 1 and 500. Large companies are companies with a workforce of more than 500. In large companies, the rate of adoption of the solution Resource analysis Human is high because it helps with compliance management and improves the organization's security measures.
By application area, the global market is separated into Workforce Management, Recruitment, and Employee Development.
The banking, financial services, and insurance (BFSI) sector is expected to develop with the most substantial share during the calculated period. BFSI vertical companies focus on increasing the number of clients and offering them better offers. The BFSI vertical faces unique challenges, such as low profit margins, threats to information security, and compliance requirements. Challenges have become the main drivers for BFSI organizations to minimize labor costs and analytically align the workforce to streamline operations.
Depending on the geography, the global HR analytics market is studied in North America, Asia-Pacific, the Middle East, Africa, South America, and Europe. The human resources analysis market in the Asia Pacific is supposed to expand at a rapid rate during the forecast period due to the increase in the number of medium and small companies in the region that are adopting human resources analysis.
The main players in the global HR analysis market include IBM Corporation, Cognizant Technology Solutions Corp., Accenture plc, Infosys Limited, ADP LLC, Ascentis Software Corporation, Genpact Ltd., Cornerstone OnDemand, Inc., Oracle Corporation, Beeline, Kronos, Inc., GainInsights Solutions Pvt. Ltd., Paylocity, Nakisa, Inc., PeopleFluent Companies, SAP SE, PeopleStreme Pty. Ltd., Tableau Software Inc., Visier, Inc., TALENTSOFT, WorkForce Software LLC, PeopleAdmin, SumTotal Systems Inc., Kenexa Corporation, Taleo Corporation, Halogen Software Inc and Workday, Inc. The increasing number of payers in the market and Increasing competition are likely to stimulate the global HR analysis market during the forecast period.
By Component
By Deployment Mode
By Organization Size
By Application Area
By Vertical
By Region
Frequently Asked Questions
AI and ML are revolutionizing HR analytics by enabling predictive analytics for talent acquisition, employee engagement, and retention. These technologies help in identifying patterns, predicting future trends, and optimizing HR processes for enhanced workforce management.
Some of the primary challenges include data privacy concerns, the lack of skilled professionals proficient in both HR and analytics, and the integration complexities with existing HR systems.
SMEs are increasingly adopting HR Analytics solutions to gain actionable insights into their workforce, streamline recruitment processes, optimize employee performance, and improve overall HR efficiency, thereby enhancing competitiveness on a global scale.
With the growing demand for advanced HR Analytics solutions, opportunities lie in offering customizable, industry-specific analytics platforms, providing consulting services for HR transformation, and developing innovative AI-driven HR analytics applications to address evolving business needs globally.
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