AI 기반 환자 스케줄링 소프트웨어 시장 : 규모, 점유율, 동향 분석, 예약 관리 유형별, 전개 모드별, 최종 용도별, 지역별, 부문 예측(2025-2033년)

AI In Patient Scheduling Software Market Summary

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.

Global AI In Patient Scheduling Software Market Report Segmentation

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global AI in patient scheduling software market report based on scheduling type, deployment mode, end use, and region:

• Scheduling Type Outlook (Revenue, USD Million, 2021 - 2033)
• Outpatient Scheduling
• Inpatient Scheduling
• Specialty Care Scheduling
• Emergency & Urgent Care Scheduling
• Others
• Deployment Mode Outlook (Revenue, USD Million, 2021 - 2033)
• Cloud-based
• On-Premises
• End Use Outlook (Revenue, USD Million, 2021 - 2033)
• Hospitals
• Clinics
• Diagnostic & Imaging Centers
• Ambulatory Surgical Centers (ASCs)
• Others
• Regional Outlook (Revenue, USD Million, 2021 - 2033)
• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Denmark
  • Sweden
  • Norway
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Thailand
• Latin America
  • Brazil
  • Argentina
• MEA
  • South Africa
  • Saudi Arabia
  • UAE
  • Kuwait

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation & Scope
• 1.2. Market Definitions
  • 1.2.1. Scheduling Type Segment
  • 1.2.2. Deployment Mode Segment
  • 1.2.3. End Use Segment
• 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 Mode
• 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. 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
    • 3.3.1.1. Supplier power
    • 3.3.1.2. Buyer power
    • 3.3.1.3. Substitution threat
    • 3.3.1.4. Threat of new entrant
    • 3.3.1.5. Competitive rivalry
  • 3.3.2. PESTEL Analysis
    • 3.3.2.1. Political landscape
    • 3.3.2.2. Technological landscape
    • 3.3.2.3. Economic landscape
    • 3.3.2.4. Environmental Landscape
    • 3.3.2.5. Legal Landscape
    • 3.3.2.6. Social Landscape
• 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
  • 4.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
• 4.6. Specialty Care Scheduling
  • 4.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
• 4.7. Emergency & Urgent Care Scheduling
  • 4.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
• 4.8. Others
  • 4.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

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
  • 5.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

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
  • 6.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
• 6.6. Diagnostic & Imaging Centers
  • 6.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
• 6.7. Ambulatory Surgical Centers (ASCs)
  • 6.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
• 6.8. Others
  • 6.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

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:
• 7.4. North America
  • 7.4.1. U.S.
    • 7.4.1.1. Key country dynamics
    • 7.4.1.2. Regulatory framework
    • 7.4.1.3. Competitive scenario
    • 7.4.1.4. U.S. market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.4.2. Canada
    • 7.4.2.1. Key country dynamics
    • 7.4.2.2. Regulatory framework
    • 7.4.2.3. Competitive scenario
    • 7.4.2.4. Canada market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.4.3. Mexico
    • 7.4.3.1. Key country dynamics
    • 7.4.3.2. Regulatory framework
    • 7.4.3.3. Competitive scenario
    • 7.4.3.4. Mexico market estimates and forecasts, 2021 to 2033 (USD Million)
• 7.5. Europe
  • 7.5.1. UK
    • 7.5.1.1. Key country dynamics
    • 7.5.1.2. Regulatory framework
    • 7.5.1.3. Competitive scenario
    • 7.5.1.4. UK market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.5.2. Germany
    • 7.5.2.1. Key country dynamics
    • 7.5.2.2. Regulatory framework
    • 7.5.2.3. Competitive scenario
    • 7.5.2.4. Germany market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.5.3. France
    • 7.5.3.1. Key country dynamics
    • 7.5.3.2. Regulatory framework
    • 7.5.3.3. Competitive scenario
    • 7.5.3.4. France market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.5.4. Italy
    • 7.5.4.1. Key country dynamics
    • 7.5.4.2. Regulatory framework
    • 7.5.4.3. Competitive scenario
    • 7.5.4.4. Italy market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.5.5. Spain
    • 7.5.5.1. Key country dynamics
    • 7.5.5.2. Regulatory framework
    • 7.5.5.3. Competitive scenario
    • 7.5.5.4. Spain market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.5.6. Norway
    • 7.5.6.1. Key country dynamics
    • 7.5.6.2. Regulatory framework
    • 7.5.6.3. Competitive scenario
    • 7.5.6.4. Norway market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.5.7. Sweden
    • 7.5.7.1. Key country dynamics
    • 7.5.7.2. Regulatory framework
    • 7.5.7.3. Competitive scenario
    • 7.5.7.4. Sweden market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.5.8. Denmark
    • 7.5.8.1. Key country dynamics
    • 7.5.8.2. Regulatory framework
    • 7.5.8.3. Competitive scenario
    • 7.5.8.4. Denmark market estimates and forecasts, 2021 to 2033 (USD Million)
• 7.6. Asia Pacific
  • 7.6.1. Japan
    • 7.6.1.1. Key country dynamics
    • 7.6.1.2. Regulatory framework
    • 7.6.1.3. Competitive scenario
    • 7.6.1.4. Japan market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.6.2. China
    • 7.6.2.1. Key country dynamics
    • 7.6.2.2. Regulatory framework
    • 7.6.2.3. Competitive scenario
    • 7.6.2.4. China market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.6.3. India
    • 7.6.3.1. Key country dynamics
    • 7.6.3.2. Regulatory framework
    • 7.6.3.3. Competitive scenario
    • 7.6.3.4. India market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.6.4. Australia
    • 7.6.4.1. Key country dynamics
    • 7.6.4.2. Regulatory framework
    • 7.6.4.3. Competitive scenario
    • 7.6.4.4. Australia market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.6.5. South Korea
    • 7.6.5.1. Key country dynamics
    • 7.6.5.2. Regulatory framework
    • 7.6.5.3. Competitive scenario
    • 7.6.5.4. South Korea market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.6.6. Thailand
    • 7.6.6.1. Key country dynamics
    • 7.6.6.2. Regulatory framework
    • 7.6.6.3. Competitive scenario
    • 7.6.6.4. Thailand market estimates and forecasts, 2021 to 2033 (USD Million)
• 7.7. Latin America
  • 7.7.1. Brazil
    • 7.7.1.1. Key country dynamics
    • 7.7.1.2. Regulatory framework
    • 7.7.1.3. Competitive scenario
    • 7.7.1.4. Brazil market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.7.2. Argentina
    • 7.7.2.1. Key country dynamics
    • 7.7.2.2. Regulatory framework
    • 7.7.2.3. Competitive scenario
    • 7.7.2.4. Argentina market estimates and forecasts, 2021 to 2033 (USD Million)
• 7.8. MEA
  • 7.8.1. South Africa
    • 7.8.1.1. Key country dynamics
    • 7.8.1.2. Regulatory framework
    • 7.8.1.3. Competitive scenario
    • 7.8.1.4. South Africa market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.8.2. Saudi Arabia
    • 7.8.2.1. Key country dynamics
    • 7.8.2.2. Regulatory framework
    • 7.8.2.3. Competitive scenario
    • 7.8.2.4. Saudi Arabia market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.8.3. UAE
    • 7.8.3.1. Key country dynamics
    • 7.8.3.2. Regulatory framework
    • 7.8.3.3. Competitive scenario
    • 7.8.3.4. UAE market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.8.4. Kuwait
    • 7.8.4.1. Key country dynamics
    • 7.8.4.2. Regulatory framework
    • 7.8.4.3. Competitive scenario
    • 7.8.4.4. Kuwait market estimates and forecasts, 2021 to 2033 (USD Million)

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. Veradigm LLC
    • 8.4.1.1. Company overview
    • 8.4.1.2. Financial performance
    • 8.4.1.3. Product benchmarking
    • 8.4.1.4. Strategic initiatives
  • 8.4.2. Hyro
    • 8.4.2.1. Company overview
    • 8.4.2.2. Financial performance
    • 8.4.2.3. Product benchmarking
    • 8.4.2.4. Strategic initiatives
  • 8.4.3. Epic Systems Corporation
    • 8.4.3.1. Company overview
    • 8.4.3.2. Financial performance
    • 8.4.3.3. Product benchmarking
    • 8.4.3.4. Strategic initiatives
  • 8.4.4. Assort Health
    • 8.4.4.1. Company overview
    • 8.4.4.2. Financial performance
    • 8.4.4.3. Product benchmarking
    • 8.4.4.4. Strategic initiatives
  • 8.4.5. Notable
    • 8.4.5.1. Company overview
    • 8.4.5.2. Financial performance
    • 8.4.5.3. Product benchmarking
    • 8.4.5.4. Strategic initiatives
  • 8.4.6. Voiceoc
    • 8.4.6.1. Company overview
    • 8.4.6.2. Financial performance
    • 8.4.6.3. Product benchmarking
    • 8.4.6.4. Strategic initiatives
  • 8.4.7. Zocdoc
    • 8.4.7.1. Company overview
    • 8.4.7.2. Financial performance
    • 8.4.7.3. Product benchmarking
    • 8.4.7.4. Strategic initiatives
  • 8.4.8. Relatient
    • 8.4.8.1. Company overview
    • 8.4.8.2. Financial performance
    • 8.4.8.3. Product benchmarking
    • 8.4.8.4. Strategic initiatives
  • 8.4.9. UnityAI, Inc.
    • 8.4.9.1. Company overview
    • 8.4.9.2. Financial performance
    • 8.4.9.3. Product benchmarking
    • 8.4.9.4. Strategic initiatives