직원 이직 예측 소프트웨어 시장 : 시장 점유율 분석, 산업 동향 및 통계 데이터, 성장 예측(2026-2031년)

According to Mordor Intelligence, the employee attrition prediction software market size is projected to be USD 1.12 billion in 2025, USD 1.24 billion in 2026, and reach USD 2.12 billion by 2031, growing at a CAGR of 11.28% from 2026 to 2031.

This report is Segmented by Component (Software, and Services), Application (Turnover Prediction and Flight-Risk Scoring, and More), Deployment Mode (Cloud-Based, and On-Premises), Organization Size (Large Enterprises, and Small and Medium-Sized Enterprises), End-User Industry (Retail and E-Commerce, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Employee Attrition Prediction Software Market Trends and Insights

Rising Cost of Regrettable Attrition and Backfill Delays

Rising replacement costs have made the employee attrition prediction software market easier to justify at the business-unit level, as retention technology is now tied directly to avoidable labor expense. Turnover cost per worker reached USD 45,236 in 2026, up from USD 36,723 in 2025, and 50% of US companies expected voluntary separations to rise further in 2026. That shift matters because buyers are no longer treating attrition as a soft human resources issue; they are treating it as a cost-control problem with immediate budget consequences. Gloat reported that identifying high-flight-risk employees 6 weeks earlier than managers could do on their own helped retain 68% of flagged employees, while the intervention cost was USD 28,000 against USD 340,000 in replacement outlay, and total savings reached USD 4.8 million in one business unit. As more return cases enter procurement discussions, the employee attrition prediction software market is moving from optional pilot spending to mainstream workforce investment. The practical buying question is now less about whether a company needs predictive retention software and more about which platform best aligns with internal hiring costs, manager workflows, and intervention capacity.

Growing Use of AI and Machine Learning for Flight-Risk Scoring

The employee attrition prediction software market is also benefiting from the wider acceptance of machine learning as a credible way to identify departure risk before managers see visible warning signs. A clinical deployment by Lotis Blue showed that an ML model predicted healthcare worker turnover with 90% accuracy, and 45% of employees who later quit had received no proactive retention conversation. That result supports the view that predictive systems are gaining traction because they can expose silent risk pockets that manual review often misses. It also explains why buyers now expect more than dashboards, because basic reporting alone does not change outcomes unless it triggers action at the manager level. As adoption expands, the employee attrition prediction software market is likely to reward vendors that can keep models current when performance reviews, engagement inputs, and other people's data become noisier. This creates a secondary demand layer for recalibration, explainability, and data-quality controls, especially in enterprises that already use generative AI in HR processes.

Employee Data Privacy and AI Governance Compliance

Compliance pressure remains a major brake on the employee attrition prediction software market, as many employers must now treat it as a high-risk AI use case. Legal analysis of the EU AI Act noted that Annex III obligations on transparency, human oversight, and bias testing apply to workforce tools that assess or influence employee behavior, and that planning requirements are already in effect, even after the compliance timeline was extended. This means product deployment is no longer a pure technology exercise, as legal review, documentation, governance design, and audit readiness are now part of the same project. GDPR enforcement also kept pressure high, with reporting in 2025 showing that cumulative penalties moved past EUR 5 billion (USD 5.4 billion) for the first time. The effect on the employee attrition prediction software market is evident in longer sales cycles and a higher first-year deployment burden, especially in Europe and in jurisdictions with similar accountability rules. Vendors that cannot show clear consent logic, human review pathways, and bias controls face slower conversion even when the product itself is technically strong.

Other drivers and restraints analyzed in the detailed report include:

1. Expansion of Cloud-Native HR Analytics and HCM Ecosystems
2. CFO-Led Demand to Quantify Attrition Risk in Dollar Terms
3. Data Silos and Legacy HRIS Integration Complexity

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Services are projected to grow at a 12.91% CAGR through 2031, making them the fastest-growing segment of the employee attrition prediction software market,, even though software remained the core revenue base in 2025. Software still anchors most commercial value because it houses the prediction engine, data model, workflow logic, and reporting interface that buyers license first. That base position keeps software central to every major deal, especially in large organizations that want broad retention visibility across regions and business units. At the same time, the employee attrition prediction software industry is moving toward more complex deployments that depend on configuration, onboarding, and cross-functional rollout support. This is why services are expanding faster, because many buyers now need help translating model output into manager actions, policy changes, and ongoing governance routines.

Implementation and integration work have become more important as the employee attrition prediction software market moves beyond simple dashboard deployment into embedded operational use. Vendors are spending more time on connector setup, intervention design, alert calibration, and manager adoption because those steps now affect realized value as much as model accuracy does. Service teams also help reduce customer churn, since accounts that rely on a vendor for process redesign and change support are less likely to treat the platform as replaceable. This gives vendors a stronger long-term relationship and makes services a practical retention tool for both the supplier and the buyer. The same trend is raising the importance of certified partner networks, because buyers want implementation resources that already understand major HCM stacks and enterprise governance requirements.

Turnover prediction and flight-risk scoring accounted for 36.71% of revenue in 2025, keeping this use case at the center of the employee attrition prediction software market. Most enterprises still start here because flight-risk scoring is the clearest way to show immediate value from people data. It provides HR teams and line managers with a clear entry point and lays the data foundation for later use cases, such as intervention planning or internal mobility targeting. In that sense, flight-risk scoring remains the operational gateway to the broader employee attrition prediction software market rather than a single use case among many. Retention intervention and prescriptive action planning are expected to grow at a 11.92% CAGR through 2031, indicating that buyers increasingly want recommendations tied to action, not just flags tied to observation.

This shift matters because the category is moving from prediction toward guided response. Gloat integrated retention recommendations into Microsoft 365 Copilot and Microsoft Teams in April 2026, which let managers respond to risk signals inside familiar work tools instead of opening a separate application. Employee engagement and sentiment analytics still play an important role because they provide early context that helps explain why flight risk is rising before an employee signals intent directly. Compensation and pay equity analytics are also becoming more relevant where employers face audit pressure and need a defensible view of pay-linked retention issues. Workforce planning and internal mobility analytics remain important for large enterprises that want to connect retention, redeployment, and skills strategy within a single planning framework.

Geography Analysis

North America held 37.22% of the employee attrition prediction software market share in 2025, maintaining its lead. The region benefits from high per-worker turnover costs, a dense vendor base, and enterprise buyers accustomed to adopting analytics tools through formal software procurement channels. The United States remains the center of demand because employers there face high replacement costs and generally operate under more permissive employee data-use practices than many of their European peers. Canada is also progressing, though privacy reform and algorithmic accountability expectations are adding a layer of compliance work that can delay deployment. South America remained at an earlier stage, with Brazil and Chile representing the clearest demand pockets, mostly within multinational organizations extending centrally selected platforms into regional operations.

Europe develops through a different pattern because regulation, labor consultation, and deployment design shape outcomes as much as technology readiness. Germany, the United Kingdom, and France remain the main revenue anchors, but each follows a different adoption path inside the employee attrition prediction software market. Germany stands out because co-determination rules can stretch deployment timelines when works councils are engaged late, and some employers have responded by building models at an aggregated grade level rather than at the individual level. The United Kingdom keeps a modest timing advantage in domestic adoption because its post-Brexit accountability framework does not mirror every EU requirement in the same way.

Asia-Pacific is projected to grow at a 12.34% CAGR through 2031, making it the fastest-growing region in the employee attrition prediction software market. India is benefiting from wider HR technology formalization and from employer demand to turn workforce stability into a sustained operating advantage, especially in global capability center environments. Japan is taking a distinct path, with domestic vendors and technology firms launching products that address labor scarcity and retention pressures. Canon Electronics launched its Retirement Risk Diagnosis Service in March 2026 using PC operation logs as behavioral indicators, and Jinjer announced an attrition alert function scheduled for launch in June 2026. China and South Korea offer scale but remain more challenging for foreign vendors because localization and data control rules shape product architecture and market access. The Middle East is becoming more relevant, led by the UAE and Saudi Arabia, as workforce nationalization and private-sector transformation programs raise interest in retention analytics. Africa is still nascent, but South Africa, Nigeria, and Egypt are showing early signs of adoption as HR digitalization deepens across multinational and larger domestic employers.

1. Visier, Inc.
2. Eightfold AI Inc.
3. Culture Amp Pty Ltd
4. Perceptyx, Inc.
5. One Model Inc.
6. Degree, Inc. d/b/a Lattice
7. ChartHop, Inc.
8. Gloat Ltd.
9. Leapsome GmbH
10. 15Five, Inc.
11. Hi Bob Limited
12. Darwinbox Digital Solutions Private Limited
13. PeopleStrong Technologies Private Limited
14. WorkTango, Inc.
15. Qualtrics, LLC
16. Bamboo HR LLC
17. Cornerstone OnDemand, Inc.
18. Dayforce, Inc.
19. UKG Inc.
20. Paycom Payroll LLC
21. Paylocity Corporation
22. Career Engagement Group d/b/a Fuel50

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Rising Cost of Regrettable Attrition and Backfill Delays
  • 4.2.2 Expansion of Cloud-Native HR Analytics and HCM Ecosystems
  • 4.2.3 Growing Use of AI and Machine Learning for Flight-Risk Scoring
  • 4.2.4 Need for Hybrid Workforce Visibility and Continuous Listening
  • 4.2.5 Skills-Based Internal Mobility Programs Requiring Predictive Retention Signals
  • 4.2.6 CFO-Led Demand to Quantify Attrition Risk in Dollar Terms
• 4.3 Market Restraints
  • 4.3.1 Employee Data Privacy and AI Governance Compliance
  • 4.3.2 Data Silos and Legacy HRIS Integration Complexity
  • 4.3.3 Works Council and Employee Pushback on Digital Exhaust Monitoring
  • 4.3.4 GenAI-Generated Feedback Noise Weakening Model Precision
• 4.4 Industry Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Impact of Macroeconomic Factors on the Market
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Threat of New Entrants
  • 4.8.2 Bargaining Power of Suppliers
  • 4.8.3 Bargaining Power of Buyers
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Software
  • 5.1.2 Services
    • 5.1.2.1 Implementation and Integration Services
    • 5.1.2.2 Consulting and Advisory Services
    • 5.1.2.3 Support and Maintenance Services
• 5.2 By Application
  • 5.2.1 Turnover Prediction and Flight-Risk Scoring
  • 5.2.2 Retention Intervention and Prescriptive Action Planning
  • 5.2.3 Employee Engagement and Sentiment Analytics
  • 5.2.4 Workforce Planning and Internal Mobility Analytics
  • 5.2.5 Compensation, Pay Equity, and Fairness Analytics
  • 5.2.6 Other Applications
• 5.3 By Deployment Mode
  • 5.3.1 Cloud-Based
  • 5.3.2 On-Premises
• 5.4 By Organization Size
  • 5.4.1 Large Enterprises
  • 5.4.2 Small and Medium-Sized Enterprises
• 5.5 By End-User Industry
  • 5.5.1 Information Technology and Telecommunications
  • 5.5.2 Banking, Financial Services, and Insurance
  • 5.5.3 Healthcare and Life Sciences
  • 5.5.4 Retail and E-Commerce
  • 5.5.5 Manufacturing
  • 5.5.6 Government and Public Sector
  • 5.5.7 Other End-User Industries
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Chile
    • 5.6.2.4 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Russia
    • 5.6.3.7 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 India
    • 5.6.4.4 South Korea
    • 5.6.4.5 Australia
    • 5.6.4.6 Rest of Asia-Pacific
  • 5.6.5 Middle East
    • 5.6.5.1 United Arab Emirates
    • 5.6.5.2 Saudi Arabia
    • 5.6.5.3 Turkey
    • 5.6.5.4 Rest of Middle East
  • 5.6.6 Africa
    • 5.6.6.1 South Africa
    • 5.6.6.2 Nigeria
    • 5.6.6.3 Egypt
    • 5.6.6.4 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 Visier, Inc.
  • 6.4.2 Eightfold AI Inc.
  • 6.4.3 Culture Amp Pty Ltd
  • 6.4.4 Perceptyx, Inc.
  • 6.4.5 One Model Inc.
  • 6.4.6 Degree, Inc. d/b/a Lattice
  • 6.4.7 ChartHop, Inc.
  • 6.4.8 Gloat Ltd.
  • 6.4.9 Leapsome GmbH
  • 6.4.10 15Five, Inc.
  • 6.4.11 Hi Bob Limited
  • 6.4.12 Darwinbox Digital Solutions Private Limited
  • 6.4.13 PeopleStrong Technologies Private Limited
  • 6.4.14 WorkTango, Inc.
  • 6.4.15 Qualtrics, LLC
  • 6.4.16 Bamboo HR LLC
  • 6.4.17 Cornerstone OnDemand, Inc.
  • 6.4.18 Dayforce, Inc.
  • 6.4.19 UKG Inc.
  • 6.4.20 Paycom Payroll LLC
  • 6.4.21 Paylocity Corporation
  • 6.4.22 Career Engagement Group d/b/a Fuel50

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment