Global Human Resource Management System Market Growth (Status and Outlook) 2024-2030

Global Human Resource Management System Market Growth (Status and Outlook) 2024-2030


Human Resource Management Systems are software systems that offer functionality across multiple HR software categories through a variety of software modules. Human resource management systems are used to manage all human resource information within an integrated, modular system. Companies use human resource management systems to manage high-value HR functions, such as recruiting, performance reviews, and employee training, within a centralized system that streamlines HR management and reporting.

The global Human Resource Management System market size is projected to grow from US$ 2380.1 million in 2023 to US$ 5516.6 million in 2030; it is expected to grow at a CAGR of 12.8% from 2024 to 2030.

LPI (LP Information)' newest research report, the “Human Resource Management System Industry Forecast” looks at past sales and reviews total world Human Resource Management System sales in 2023, providing a comprehensive analysis by region and market sector of projected Human Resource Management System sales for 2024 through 2030. With Human Resource Management System sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Human Resource Management System industry.

This Insight Report provides a comprehensive analysis of the global Human Resource Management System landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Human Resource Management System portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Human Resource Management System market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Human Resource Management System and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Human Resource Management System.

The future market trends of this product are influenced by several factors, such as the increasing need for real-time monitoring and analysis of business performance, the growing demand for cloud-based HRMS solutions, the rise of big data analytics, and the integration of advanced technologies such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and internet of things (IoT). Some of the possible market trends are:

Shift to cloud-based and hybrid HRMS solutions: Cloud-based and hybrid HRMS solutions are expected to gain more popularity among companies due to their benefits such as lower cost, faster deployment, easier scalability, greater flexibility, and improved security. Cloud-based and hybrid HRMS solutions also enable companies to access data from multiple sources and platforms, collaborate with stakeholders across locations and devices, and leverage cloud-native capabilities such as AI and ML.

Adoption of AI-powered predictive analytics: AI-powered predictive analytics are expected to enhance the capabilities of HRMS solutions by providing more accurate, timely, and actionable insights for decision-making. AI-powered predictive analytics can help companies to forecast future scenarios based on historical data patterns, identify risks and opportunities based on internal and external factors, optimize resource allocation based on demand and supply fluctuations, and automate repetitive tasks based on predefined rules.

Expansion of HRMS scope to cover new business domains: HRMS scope is expected to expand beyond the traditional finance function to cover new business domains such as sales, marketing, human resources (HR), customer service, operations, supply chain management (SCM), etc. This expansion will enable companies to align their performance management across the entire organization based on a common strategy framework. It will also enable companies to gain a holistic view of their business performance from different perspectives and dimensions.

This report presents a comprehensive overview, market shares, and growth opportunities of Human Resource Management System market by product type, application, key players and key regions and countries.

Segmentation by type
Cloud Based
On Premises

Segmentation by application
Large Enterprises
SMEs

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
ADP
Paylocity
Paycom
Workday
Ultimate Kronos Group (UKG)
Bamboo HR
Ceridian HCM
Oracle
Automatic Payroll Systems (APS)
ClearCompany
GoCo.io
SAP
Odoo
EPAY Systems
Ascentis Corporation
Saba Software
isolved
Personio
Vibe HCM
People HR
Sage Group
Infor
SutiSoft
DATIS
OrangeHRM
Lanteria
Uneecops Workplace Solutions
Personnel Data Systems
PageUp
Enxoo

Please note: The report will take approximately 2 business days to prepare and deliver.


*This is a tentative TOC and the final deliverable is subject to change.*
1 Scope of the Report
2 Executive Summary
3 Human Resource Management System Market Size by Player
4 Human Resource Management System by Regions
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Global Human Resource Management System Market Forecast
11 Key Players Analysis
12 Research Findings and Conclusion

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