U.S. AI In Nurse Scheduling Software Market (2025 - 2033) Size, Share & Trends Analysis Report By Deployment Mode (Cloud-based, On-premises), By Application (Shift Scheduling & Optimization, Demand Forecasting & Staffing Prediction), By End-use (Hospitals, Ambulatory Surgical Centers, Home Healthcare Agencies), And Segment Forecasts
Table of Contents
Chapter 1. Methodology and Scope
1.1. Market Segmentation & Scope
1.2. Market Definitions
1.2.1. Deployment Mode Segment
1.2.2. Application Segment
1.2.3. End Use
1.3. Information analysis
1.3.1. Market formulation & data visualization
1.4. Data validation & publishing
1.5. Information Procurement
1.5.1. Primary Research
1.6. Information or Data Analysis
1.7. Market Formulation & Validation
1.8. Market Model
1.9. Total Market: CAGR Calculation
1.10. Objectives
1.10.1. Objective 1
1.10.2. Objective 2
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Snapshot
2.3. Competitive Insights Landscape
Chapter 3. U.S. AI in Nurse Scheduling Software Market Variables, Trends & Scope
3.1. Market Lineage Outlook
3.1.1. Parent market outlook
3.1.2. Related/ancillary market outlook.
3.2. Market Dynamics
3.2.1. Market driver analysis
3.2.2. Market restraint analysis
3.2.3. Market opportunity analysis
3.2.4. Market challenges analysis
3.3. Case Studies
3.4. U.S. AI in Nurse Scheduling Software Market Analysis Tools
3.4.1. Industry Analysis - Porter’s
3.4.1.1. Supplier power
3.4.1.2. Buyer power
3.4.1.3. Substitution threat
3.4.1.4. Threat of new entrant
3.4.1.5. Competitive rivalry
3.4.2. PESTEL Analysis
3.4.2.1. Political landscape
3.4.2.2. Technological landscape
3.4.2.3. Economic landscape
3.4.2.4. Environmental Landscape
3.4.2.5. Legal Landscape
3.4.2.6. Social Landscape
Chapter 4. U.S. AI in Nurse Scheduling Software Market: Deployment Mode Estimates & Trend Analysis
4.1. Segment Dashboard
4.2. U.S. AI in Nurse Scheduling Software Market Deployment Mode Movement Analysis
4.3. U.S. AI in Nurse Scheduling Software Market Size & Trend Analysis, by Deployment Mode, 2021 to 2033 (USD Million)
4.4. Cloud-based
4.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
4.5. On-premises
4.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 5. U.S. AI in Nurse Scheduling Software Market: Application Estimates & Trend Analysis
5.1. Segment Dashboard
5.2. U.S. AI in Nurse Scheduling Software Market Application Movement Analysis
5.3. U.S. AI in Nurse Scheduling Software Market Size & Trend Analysis, by Application, 2021 to 2033 (USD Million)
5.4. Shift Scheduling & Optimization
5.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.5. Demand Forecasting & Staffing Prediction
5.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.6. Leave & Absence Management
5.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.7. Analytics & Reporting
5.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.8. Others
5.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 6. U.S. AI in Nurse Scheduling Software Market: End Use Estimates & Trend Analysis
6.1. Segment Dashboard
6.2. U.S. AI in Nurse Scheduling Software Market End Use Movement Analysis
6.3. U.S. AI in Nurse Scheduling Software Market Size & Trend Analysis, by End Use, 2021 to 2033 (USD Million)
6.4. Hospitals
6.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.5. Ambulatory Surgical Centers (ASCs)
6.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.6. Long-Term Care Facilities
6.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.7. Home Healthcare Agencies
6.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.8. Clinics & Specialty Centers
6.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.9. Others
6.9.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 7. Competitive Landscape
7.1. Company/Competition Categorization
7.2. Strategy Mapping
7.3. Company Market Position Analysis, 2024
7.4. Company Profiles/Listing
7.4.1. QGenda, LLC
7.4.1.1. Company overview
7.4.1.2. Financial performance
7.4.1.3. Product benchmarking
7.4.1.4. Strategic initiatives
7.4.2. In-House Health, Inc.
7.4.2.1. Company overview
7.4.2.2. Financial performance
7.4.2.3. Product benchmarking
7.4.2.4. Strategic initiatives
7.4.3. symplr
7.4.3.1. Company overview
7.4.3.2. Financial performance
7.4.3.3. Product benchmarking
7.4.3.4. Strategic initiatives
7.4.4. Connecteam
7.4.4.1. Company overview
7.4.4.2. Financial performance
7.4.4.3. Product benchmarking
7.4.4.4. Strategic initiatives
7.4.5. Deputy
7.4.5.1. Company overview
7.4.5.2. Financial performance
7.4.5.3. Product benchmarking
7.4.5.4. Strategic initiatives
7.4.6. MakeShift
7.4.6.1. Company overview
7.4.6.2. Financial performance
7.4.6.3. Product benchmarking
7.4.6.4. Strategic initiatives
7.4.7. Medecipher Solutions
7.4.7.1. Company overview
7.4.7.2. Financial performance
7.4.7.3. Product benchmarking
7.4.7.4. Strategic initiatives
7.4.8. ShiftMed
7.4.8.1. Company overview
7.4.8.2. Financial performance
7.4.8.3. Product benchmarking
7.4.8.4. Strategic initiatives
List of Tables
Table 1 List of abbreviations
Table 2 U.S. AI in nurse scheduling software market, by deployment mode, 2021 - 2033 (USD Million)
Table 3 U.S. AI in nurse scheduling software market, by application, 2021 - 2033 (USD Million)
Table 4 U.S. AI in nurse scheduling software market, by end use, 2021 - 2033 (USD Million)
List of Figures
Fig. 1 Market research process
Fig. 2 Market research process
Fig. 3 Data triangulation techniques
Fig. 4 Market formulation & validation
Fig. 5 U.S. AI in nurse scheduling software market: Market outlook
Fig. 6 U.S. AI in nurse scheduling software market: Segment outlook
Fig. 7 U.S. AI in nurse scheduling software market: Competitive landscape outlook
Fig. 8 Parent market outlook
Fig. 9 U.S. AI in nurse scheduling software market driver impact
Fig. 10 U.S. AI in nurse scheduling software market restraint impact
Fig. 11 U.S. AI in nurse scheduling software market: Deployment mode outlook and key takeaways
Fig. 12 U.S. AI in nurse scheduling software market: Deployment mode movement analysis
Fig. 13 Cloud-based market estimates and forecasts,2021 - 2033 (USD Million)
Fig. 14 On-premises market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 15 U.S. AI in nurse scheduling software market: Application outlook and key takeaways
Fig. 16 U.S. AI in nurse scheduling software market: Application movement analysis
Fig. 17 Shift scheduling & optimization market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 18 Demand forecasting & staffing prediction market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 19 Leave & absence management market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 20 Analytics & reporting market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 21 Others market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 22 U.S. AI in nurse scheduling software market: End use outlook and key takeaways
Fig. 23 U.S. AI in nurse scheduling software market: End use movement analysis
Fig. 24 Hospitals market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 25 Ambulatory surgical centers (ASCs) market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 26 Long-term care facilities market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 27 Home healthcare agencies market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 28 Clinics & specialty centers market estimates and forecasts, 2021 - 2033 (USD Million)
Fig. 29 Others market estimates and forecasts, 2021 - 2033 (USD Million)
Trusted market insights - try a free sample
See how our reports are structured and why industry leaders rely on Grand View Research. Get a free sample or ask us to tailor this report to your needs.