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HR Analytics
»óǰÄÚµå : 1579653
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¹ßÇàÀÏ : 2024³â 10¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 79 Pages
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Global HR Analytics Market to Reach US$6.3 Billion by 2030

The global market for HR Analytics estimated at US$2.8 Billion in the year 2023, is expected to reach US$6.3 Billion by 2030, growing at a CAGR of 12.1% over the analysis period 2023-2030. Solutions Component, one of the segments analyzed in the report, is expected to record a 7.0% CAGR and reach US$1.6 Billion by the end of the analysis period. Growth in the Services Component segment is estimated at 14.4% CAGR over the analysis period.

The U.S. Market is Estimated at US$763.8 Million While China is Forecast to Grow at 16.0% CAGR

The HR Analytics market in the U.S. is estimated at US$763.8 Million in the year 2023. China, the world's second largest economy, is forecast to reach a projected market size of US$1.4 Billion by the year 2030 trailing a CAGR of 16.0% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 9.1% and 9.6% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 9.3% CAGR.

Global HR Analytics Market - Key Trends and Drivers Summarized

Why Is HR Analytics Revolutionizing Workforce Management?

HR Analytics, or Human Resources Analytics, is transforming the way organizations manage their workforce by utilizing data-driven insights to improve decision-making in areas such as recruitment, talent management, employee engagement, and performance evaluation. By analyzing vast amounts of data related to employee behaviors, productivity, and satisfaction, companies can make more informed decisions that directly impact business outcomes. HR analytics helps organizations predict trends such as turnover rates, identify skills gaps, and even optimize compensation and benefits. This analytical approach to managing human capital not only boosts operational efficiency but also enhances employee experiences, ultimately leading to better talent retention and organizational performance.

How Are Technological Advancements Shaping the HR Analytics Market?

Technological advancements such as artificial intelligence (AI), machine learning, and cloud computing are driving innovation in the HR analytics market. AI and machine learning algorithms are increasingly being used to analyze complex employee data patterns, providing real-time insights that help HR professionals make more accurate predictions and decisions. Cloud-based HR analytics platforms enable organizations to store, manage, and analyze data on a large scale while offering scalability and accessibility. Furthermore, the integration of HR analytics tools with other enterprise software, such as enterprise resource planning (ERP) and human capital management (HCM) systems, has streamlined the management of employee data, making it easier for organizations to gather actionable insights. These technological advancements are making HR analytics more accessible to businesses of all sizes.

How Do Market Segments Define the Growth of the HR Analytics Market?

Components include solutions and services, with solutions holding the largest market share due to the increasing adoption of cloud-based HR analytics platforms. Deployment models are categorized into on-premise and cloud-based solutions, with cloud-based systems witnessing rapid growth due to their flexibility, scalability, and lower upfront costs. Key applications of HR analytics include workforce planning, employee engagement analysis, talent management, and recruitment, with talent management emerging as the largest segment due to the growing need to retain skilled employees in competitive markets. The market also serves industries such as IT, healthcare, retail, and manufacturing, with IT and financial services leading the adoption of HR analytics due to their heavy reliance on skilled human capital.

What Factors Are Driving the Growth in the HR Analytics Market?

The growth in the HR analytics market is driven by several factors, including the increasing demand for data-driven decision-making, the need for talent optimization in competitive job markets, and advancements in AI and cloud computing technologies. As organizations strive to improve workforce productivity and engagement, HR analytics provides the tools to make more informed decisions about hiring, training, and retaining employees. The rise of remote and hybrid work models has also fueled demand for analytics tools that track employee performance and engagement in decentralized environments. Additionally, advancements in machine learning algorithms and cloud-based analytics platforms have made HR analytics more accessible and affordable for companies, driving widespread adoption across various industries.

Select Competitors (Total 13 Featured) -

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

III. MARKET ANALYSIS

IV. COMPETITION

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