Dublin, Feb. 17, 2026 (GLOBE NEWSWIRE) — The “AI in Patient Scheduling Software Market Forecast to 2033” report has been added to ResearchAndMarkets.com’s offering.
The global AI in patient scheduling software market size was estimated at USD 63.04 million in 2024 and is projected to reach USD 555.09 million by 2033, growing at a CAGR of 27.64% from 2025 to 2033
Growing need to reduce administrative inefficiencies and improve healthcare resource utilization, rapid digital transformation across healthcare systems, and the rise of telehealth and value-based care models are some factors contributing to market growth.
In addition, rising patient volumes, chronic disease burden, and increasing emphasis on patient-centric care and convenience contribute to market growth. The adoption of AI in patient scheduling software is primarily driven by the need to reduce administrative inefficiencies and improve healthcare resource utilization. Traditional manual scheduling systems often lead to bottlenecks, double bookings, and extended patient wait times. AI-powered platforms optimize appointment allocation by analyzing real-time provider availability, patient preferences, and clinical urgency.
This results in higher operational efficiency, reduced no-show rates, and improved patient throughput. In addition, due to the rising patient volumes, healthcare providers are increasingly adopting AI scheduling systems to streamline workflows. For instance, in February 2025, Innovaccer introduced “Agents of Care,” a suite of AI agents for healthcare providers that automate low-value healthcare administrative tasks like appointment scheduling, protocol intake, referral management, and patient inquiries.
Moreover, increasing emphasis on enhancing patient experience through digital engagement and convenience propels the growth of the AI in patient scheduling software industry. Patients increasingly expect seamless self-service options such as online booking and real-time rescheduling, similar to experiences in other consumer industries. AI scheduling systems facilitate this by offering patient-friendly portals and mobile applications with intelligent recommendations based on prior visits, treatment timelines, and provider availability.
These solutions improve patient satisfaction, encourage adherence to follow-up care, and foster trust in healthcare providers. For instance, in May 2025, Epic Systems introduced a conversational AI tool that enables patients to schedule appointments via SMS without logging into a portal or waiting on hold. The AI assistant initiates scheduling conversations, offers appointment slots, confirms bookings, and provides MyChart links for details or virtual check-in.
The rise of telehealth and value-based care models highlights the increasing use of AI in patient scheduling software. Virtual care platforms depend on intelligent scheduling systems to manage a high volume of digital appointments while coordinating providers across different geographies and time zones.
Similarly, value-based care models necessitate precise scheduling to minimize delays in care, ensure timely interventions, and optimize patient outcomes. For instance, in July 2025, Rush University System for Health launched Rush Connect+, a national direct-to-consumer telehealth membership offering 24/7 virtual urgent care. The service includes access to a human assistant for scheduling appointments and answering questions, AI-powered chatbots, symptom checkers, and same-day specialty care in eight areas.
Why You Should Buy This Report
- Comprehensive Market Analysis: Gain detailed insights into the market across major regions and segments.
- Competitive Landscape: Explore the market presence of key players.
- Future Trends: Discover the pivotal trends and drivers shaping the future of the market.
- Actionable Recommendations: Utilize insights to uncover new revenue streams and guide strategic business decisions.
Report Deliverables
- 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
- Product innovation listings for you to stay ahead of the curve
Key Attributes:
| Report Attribute | Details |
| No. of Pages | 100 |
| Forecast Period | 2024 – 2033 |
| Estimated Market Value (USD) in 2024 | $63.04 Million |
| Forecasted Market Value (USD) by 2033 | $555.09 Million |
| Compound Annual Growth Rate | 27.6% |
| Regions Covered | Global |
Key Topics Covered:
Chapter 1. Methodology and Scope
1.1. Market Segmentation & Scope
1.2. Market Definitions
1.3. Information analysis
1.4. Data validation & publishing
1.5. Information Procurement
1.6. Information or Data Analysis
1.7. Market Formulation & Validation
1.8. Market Mode
1.9. Total Market: CAGR Calculation
1.10. Objectives
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Snapshot
2.3. Competitive Insights Landscape
Chapter 3. AI in Patient 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. AI in Patient Scheduling Software Market Analysis Tools
3.3.1. Industry Analysis – Porter’s
3.3.2. PESTEL Analysis
3.4. Case Study Insights
3.5. Technology Overview
Chapter 4. AI in Patient Scheduling Software Market: Scheduling Type Estimates & Trend Analysis
4.1. Segment Dashboard
4.2. Global AI in Patient Scheduling Software Market Scheduling Type Movement Analysis
4.3. Global AI in Patient Scheduling Software Market Size & Trend Analysis, by Scheduling Type, 2021 to 2033 (USD Million)
4.4. Outpatient Scheduling
4.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
4.5. Inpatient Scheduling
4.6. Specialty Care Scheduling
4.7. Emergency & Urgent Care Scheduling
4.8. Others
Chapter 5. AI in Patient Scheduling Software Market: Deployment Mode Estimates & Trend Analysis
5.1. Segment Dashboard
5.2. Global AI in Patient Scheduling Software Market Deployment Mode Movement Analysis
5.3. Global AI in Patient Scheduling Software Market Size & Trend Analysis, by Deployment Mode, 2021 to 2033 (USD Million)
5.4. Cloud-based
5.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.5. on-Premises
Chapter 6. AI in Patient Scheduling Software Market: End Use Estimates & Trend Analysis
6.1. Segment Dashboard
6.2. Global AI in Patient Scheduling Software Market End Use Movement Analysis
6.3. Global AI in Patient 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. Clinics
6.6. Diagnostic & Imaging Centers
6.7. Ambulatory Surgical Centers (ASCs)
6.8. Others
Chapter 7. AI in Patient Scheduling Software Market: Regional Estimates & Trend Analysis
7.1. Regional Market Share Analysis, 2024 & 2033
7.2. Regional Market Dashboard
7.3. Market Size & Forecasts Trend Analysis, 2021 to 2033
Chapter 8. Competitive Landscape
8.1. Company/Competition Categorization
8.2. Strategy Mapping
8.3. Company Market Position Analysis, 2024
8.4. Company Profiles/Listing
8.4.1. Company overview
8.4.2. Financial performance
8.4.3. Product benchmarking
8.4.4. Strategic initiatives
- Veradigm LLC
- Epic Systems Corporation
- Hyro
- Assort Health
- Notable
- Voiceoc
- Zocdoc
- Relatient
- UnityAI, Inc.
For more information about this report visit https://www.researchandmarkets.com/r/l1ovua
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- AI in Patient Scheduling Software Market
