市場調查報告書
商品編碼
1569473
勞動力分析市場規模、佔有率和成長分析:按類型、部署模型、組織規模、產業和地區 - 產業預測,2024-2031 年Workforce Analytics Market Size, Share, Growth Analysis, By Type, By Deployment Model, By Organization Size, By Vertical, By Region - Industry Forecast 2024-2031 |
勞動力分析的全球市場規模預計到2022年將達到20億美元,從2023年的23.1億美元成長到2031年的72.6億美元,預測期間(2024-2031年)複合年成長率預計將成長15.40%。
勞動力分析的需求正在迅速增加,勞動力分析是一種利用統計模型來提高組織內生產力和完善流程技術的方法。這種不斷成長的需求源於管理不斷成長的勞動力的複雜性以及每天產生的大量資料。傳統的手動資料管理容易出錯,因此勞動力分析對於最佳化人力資源管理 (HRM) 流程至關重要。隨著公司轉向遠端工作,COVID-19 大流行大大加速了這些分析的採用,因此需要有效的資料管理解決方案。隨著各行業停工的緩解和就業的恢復,全球勞動力分析市場預計將在預測期內顯著成長。值得注意的是,美國勞動力分析市場預計明年也將出現持續的複合年成長率。這種成長軌跡凸顯了勞動力分析在人才管理和組織效率不斷變化的格局中的關鍵作用。
Global Workforce Analytics Market size was valued at USD 2.0 billion in 2022 and is poised to grow from USD 2.31 billion in 2023 to USD 7.26 billion by 2031, growing at a CAGR of 15.40% during the forecast period (2024-2031).
Workforce analytics, which employs statistical models to enhance productivity and refine process methodologies within organizations, is experiencing a surge in demand. This heightened necessity arises from the complexities of managing a growing workforce and the vast amounts of data generated daily. Traditional manual data management can lead to errors, making workforce analytics essential for optimizing Human Resource Management (HRM) processes. The Covid-19 pandemic significantly accelerated the adoption of these analytics as companies transitioned to remote work, necessitating effective data management solutions. As lockdowns eased and hiring resumed across various industries, the global workforce analytics market is expected to see substantial growth during the forecast period. Specifically, the US workforce analytics market is projected to experience a sustainable compound annual growth rate (CAGR) in the upcoming year. This growth trajectory highlights the critical role of workforce analytics in navigating the evolving landscape of human resource management and organizational efficiency.
Top-down and bottom-up approaches were used to estimate and validate the size of the global workforce analytics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
global workforce analytics Market Segmental Analysis
Global Workforce Analytics Market is segmented by Type, Deployment Model, Vertical, and region. Based on Type, the market is segmented into Solutions, and Services. Based on Deployment Model, the market is segmented into On-Premise, and On-Cloud. Based on Organization Size, the market is segmented into Enterprise, Small and Medium Business. Based on Vertical, the market is segmented into BFSI, Energy and Utilities, Manufacturing, Healthcare, Retail, Government and Public Sector, Telecom and IT, Travel and Hospitality, and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Driver of the global workforce analytics Market
The global workforce analytics market is poised for significant growth as organizations increasingly adopt advanced technological solutions and automation to optimize resource management. The shift toward cloud-based computing not only enhances operational flexibility but also demands robust security measures to safeguard sensitive employee data, driving the adoption of workforce analytics tools. These tools enable efficient data extraction, storage, and analysis, critical for informed decision-making in hiring and resource allocation processes. The increasing volume of recruitment activities further necessitates precise data monitoring, reinforcing the importance of workforce analytics in meeting organizational goals and facilitating data-driven strategies, thereby shaping a vibrant market landscape.
Restraints in the global workforce analytics Market
One significant market restraint for the global workforce analytics market is the limited capital available to small and medium enterprises (SMEs), which often leads them to rely on public cloud-based systems. While these solutions may offer operational efficiency, they are not immune to security vulnerabilities, raising concerns over data protection. Additionally, many SMEs facing budget constraints may resort to lower-quality, less secure analytics options, further hindering their ability to adopt advanced workforce analytics tools. This situation creates a sizeable challenge during the forecast period, potentially stunting growth in the market as organizations prioritize security over sophisticated workforce solutions.
Market Trends of the global workforce analytics Market
The global workforce analytics market is witnessing a significant trend driven by the need for seamless integration of data-driven tools in talent acquisition and employee evaluation processes. As employment rates rise, organizations require real-time monitoring capabilities to efficiently manage their workforce and optimize task allocation based on employee profiles. Simultaneously, the growing adoption of big data and artificial intelligence is further enhancing the effectiveness of these analytics solutions, contributing to improved decision-making and operational efficiency. This confluence of advanced technologies and the necessity for robust workforce management strategies is expected to propel the market's growth during the forecast period.