Market Size & Trends
The U.S. AI in nurse scheduling software market size was estimated at USD 55.58 million in 2024 and is projected to reach USD 516.41 million by 2033, growing at a CAGR of 28.40% from 2025 to 2033. The rising demand for operational efficiency and the growing shortage of nursing professionals are significant factors contributing to market growth. In addition, advancements in AI and machine learning are other factors fueling market growth.
Rising demand for operational efficiency drives the U.S. AI nurse scheduling software industry. Hospitals and clinics face complex staffing demands, driven by increasing patient influxes and fluctuating care needs. AI-powered scheduling solutions automate routine tasks, enhancing accuracy and enabling real-time adjustments. These systems optimize nurse allocation, reduce administrative burdens, and enhance shift coverage, leading to improved patient outcomes and reduced nurse fatigue.
AI-based nurse scheduling solutions automate manual scheduling, allowing managers to focus on patient care. Advanced algorithms adjust staffing in real-time based on census trends, patient acuity, and skill mix, thereby reducing overtime and agency costs. For instance, Epic Systems is developing AI-powered clinical documentation tools, expected to launch in early 2026, aimed at reducing the time nurses and clinicians spend on documentation and administrative tasks. The native AI charting tool will automatically draft parts of patient records using Microsoft’s Dragon Ambient AI integrated within Epic’s apps.
Moreover, the growing shortage of nursing professionals across the U.S. presents a significant challenge for healthcare systems, driving the adoption of AI-driven nurse scheduling software. Hospitals and long-term care facilities are increasingly struggling to maintain adequate staff-to-patient ratios while complying with labor regulations and ensuring high-quality care. For instance, according to the data published by the American Association of Colleges of Nursing (AACN), federal authorities project a shortage of 78,610 full-time registered nurses (RNs) in 2025 and 63,720 in 2030.
U.S. AI In Nurse Scheduling Software Market Report Segmentation
This report forecasts revenue growth at country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, the analyst has segmented the U.S. AI in nurse scheduling software market report based on deployment mode, application, and end-use:Deployment Mode Outlook (Revenue, USD Million, 2021-2033)
Application Outlook (Revenue, USD Million, 2021-2033)
End-use Outlook (Revenue, USD Million, 2021-2033)
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- Comprehensive Market Analysis: Gain detailed insights into the market across major regions and segments.
- Competitive Landscape: Explore the market presence of key players.
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This report addresses:
- Market intelligence to enable effective decision-making
- Market estimates and forecasts from 2018 to 2030
- Growth opportunities and trend analyses
- Segment and regional revenue forecasts for market assessment
- Competition strategy and market share analysis
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Table of Contents
Chapter 1. Methodology and Scope
Chapter 2. Executive Summary
Chapter 3. U.S. AI in Nurse Scheduling Software Market Variables, Trends & Scope
Chapter 4. U.S. AI in Nurse Scheduling Software Market: Deployment Mode Estimates & Trend Analysis
Chapter 5. U.S. AI in Nurse Scheduling Software Market: Application Estimates & Trend Analysis
Chapter 6. U.S. AI in Nurse Scheduling Software Market: End Use Estimates & Trend Analysis
Chapter 7. Competitive Landscape
List of Tables
List of Figures
Companies Mentioned
The key companies profiled in this U.S. AI in Nurse Scheduling Software market report include:- QGenda, LLC
- In-House Health, Inc.
- symplr
- Connecteam
- Deputy
- MakeShift
- Medecipher Solutions
- ShiftMed
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 100 |
| Published | November 2025 |
| Forecast Period | 2024 - 2033 |
| Estimated Market Value ( USD | $ 55.58 Million |
| Forecasted Market Value ( USD | $ 516.41 Million |
| Compound Annual Growth Rate | 28.4% |
| Regions Covered | United States |
| No. of Companies Mentioned | 9 |
