간호사 배치용 AI 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

The global AI in nurse staffing market size is expected to reach USD 7116.80 Million in 2034 from USD 653.26 Million in 2025, growing at a CAGR of 30.39% during 2026-2034.This market is developing as healthcare providers explore artificial intelligence to improve workforce scheduling, staffing allocation, and demand forecasting. Hospitals and healthcare facilities face complex staffing requirements influenced by patient volumes, skill levels, shift patterns, absenteeism, and regulatory requirements. AI-based workforce tools can analyze operational data and generate staffing recommendations based on anticipated demand. By supporting more systematic scheduling, these systems can help organizations manage available personnel while improving visibility into staffing requirements across departments and shifts.

Machine learning can identify patterns in patient demand, seasonal activity, staff availability, and workload requirements. Advanced platforms may integrate scheduling, workforce management, patient census, and operational information to support dynamic staffing decisions. Automation can also reduce administrative effort associated with creating and adjusting schedules. Healthcare organizations are increasingly interested in technologies that support workforce planning while maintaining appropriate staffing policies and human oversight. Integration with existing hospital workforce-management systems is therefore becoming an important consideration for adoption.

Future prospects are supported by ongoing healthcare workforce-management challenges and the growing use of predictive analytics. AI platforms may increasingly provide real-time recommendations as patient volumes and staffing conditions change. Integration with electronic health records and hospital operational systems could improve forecasting accuracy by incorporating more relevant information. Providers are also likely to focus on transparency, privacy, bias monitoring, and human review when deploying these systems. Continued development of explainable and workflow-friendly solutions can support broader adoption across hospitals and other healthcare facilities.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Component

• Software/Platforms
• Services

By Technology

• Machine Learning & Predictive Analytics
• Optimization Algorithms
• NLP/Generative AI
• Others

By Deployment

• Cloud-Based
• On-Premises
• Hybrid

By Application

• Demand Forecasting
• Shift Scheduling & Optimization
• Float Pool & Resource Allocation
• Overtime & Agency Spend Reduction
• Absenteeism/Burnout Risk Prediction
• Compliance & Credential Matching
• Others

By Type

• Standalone
• Integrated

By End User

• Hospitals & Health Systems
• Long-Term Care Facilities
• Staffing Agencies
• Ambulatory/Outpatient Centers
• Others

COMPANIES PROFILED

• QGenda, LLC, symplr, AMN Healthcare, Aya Healthcare, ShiftMed, UKG Inc., Oracle Corporation, Workday Inc., HealthStream Inc., RLDatix, IntelyCare, ShiftKey, LeanTaaS, Smartlinx, Lightning Bolt Solutions, NurseGrid, CareRev, Clipboard Health, Gale Healthcare Solutions, Trusted Health, Incredible Health, ConnectRN

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL AI IN NURSE STAFFING MARKET: BY COMPONENT 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Component
• 4.2. Software/Platforms Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL AI IN NURSE STAFFING MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Technology
• 5.2. Machine Learning & Predictive Analytics Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Optimization Algorithms Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. NLP/Generative AI Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AI IN NURSE STAFFING MARKET: BY DEPLOYMENT 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Deployment
• 6.2. Cloud-Based Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. On-Premises Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Hybrid Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AI IN NURSE STAFFING MARKET: BY APPLICATION 2022-2034 (USD MN)

• 7.1. Market Analysis, Insights and Forecast Application
• 7.2. Demand Forecasting Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. Shift Scheduling & Optimization Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.4. Float Pool & Resource Allocation Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.5. Overtime & Agency Spend Reduction Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.6. Absenteeism/Burnout Risk Prediction Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.7. Compliance & Credential Matching Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.8. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL AI IN NURSE STAFFING MARKET: BY TYPE 2022-2034 (USD MN)

• 8.1. Market Analysis, Insights and Forecast Type
• 8.2. Standalone Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.3. Integrated Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL AI IN NURSE STAFFING MARKET: BY END USER 2022-2034 (USD MN)

• 9.1. Market Analysis, Insights and Forecast End User
• 9.2. Hospitals & Health Systems Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.3. Long-Term Care Facilities Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.4. Staffing Agencies Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.5. Ambulatory/Outpatient Centers Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.6. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 10. GLOBAL AI IN NURSE STAFFING MARKET: BY REGION 2022-2034 (USD MN)

• 10.1. Regional Outlook
• 10.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.2.1 By Component
  • 10.2.2 By Technology
  • 10.2.3 By Deployment
  • 10.2.4 By Application
  • 10.2.5 By Type
  • 10.2.6 By End User
  • 10.2.7 United States
  • 10.2.8 Canada
  • 10.2.9 Mexico
• 10.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.3.1 By Component
  • 10.3.2 By Technology
  • 10.3.3 By Deployment
  • 10.3.4 By Application
  • 10.3.5 By Type
  • 10.3.6 By End User
  • 10.3.7 United Kingdom
  • 10.3.8 France
  • 10.3.9 Germany
  • 10.3.10 Italy
  • 10.3.11 Spain
  • 10.3.12 Russia
  • 10.3.13 Rest Of Europe
• 10.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.4.1 By Component
  • 10.4.2 By Technology
  • 10.4.3 By Deployment
  • 10.4.4 By Application
  • 10.4.5 By Type
  • 10.4.6 By End User
  • 10.4.7 China
  • 10.4.8 Japan
  • 10.4.9 South Korea
  • 10.4.10 India
  • 10.4.11 Australia
  • 10.4.12 South East Asia
  • 10.4.13 Rest Of Asia Pacific
• 10.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.5.1 By Component
  • 10.5.2 By Technology
  • 10.5.3 By Deployment
  • 10.5.4 By Application
  • 10.5.5 By Type
  • 10.5.6 By End User
  • 10.5.7 Brazil
  • 10.5.8 Argentina
  • 10.5.9 Peru
  • 10.5.10 Chile
  • 10.5.11 Rest of Latin America
• 10.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.6.1 By Component
  • 10.6.2 By Technology
  • 10.6.3 By Deployment
  • 10.6.4 By Application
  • 10.6.5 By Type
  • 10.6.6 By End User
  • 10.6.7 Saudi Arabia
  • 10.6.8 UAE
  • 10.6.9 Israel
  • 10.6.10 South Africa
  • 10.6.11 Rest of the Middle East And Africa

Chapter 11. COMPETITIVE LANDSCAPE

• 11.1. Recent Developments
• 11.2. Company Categorization
• 11.3. Supply Chain & Channel Partners (based on availability)
• 11.4. Market Share & Positioning Analysis (based on availability)
• 11.5. Vendor Landscape (based on availability)
• 11.6. Strategy Mapping

Chapter 12. COMPANY PROFILES OF GLOBAL AI IN NURSE STAFFING INDUSTRY

• 12.1. Top Companies Market Share Analysis
• 12.2. Company Profiles
  • 12.2.1 QGenda, LLC
  • 12.2.2 Symplr
  • 12.2.3 AMN Healthcare
  • 12.2.4 Aya Healthcare
  • 12.2.5 ShiftMed
  • 12.2.6 UKG Inc
  • 12.2.7 Oracle Corporation
  • 12.2.8 Workday Inc
  • 12.2.9 HealthStream Inc
  • 12.2.10 RLDatix
  • 12.2.11 IntelyCare
  • 12.2.12 ShiftKey
  • 12.2.13 LeanTaaS
  • 12.2.14 Smartlinx
  • 12.2.15 Lightning Bolt Solutions
  • 12.2.16 NurseGrid
  • 12.2.17 CareRev
  • 12.2.18 Clipboard Health
  • 12.2.19 Gale Healthcare Solutions
  • 12.2.20 Trusted Health
  • 12.2.21 Incredible Health
  • 12.2.22 ConnectRN