Summary

Middle East AI in Patient Engagement Market Summary

The Middle East AI in patient engagement market size was estimated at USD 183.53 million in 2024 and is projected to reach USD 1,110.56 million by 2033, growing at a CAGR of 22.26% from 2025 to 2033. Rapid expansion of digital health infrastructure, coupled with integration of artificial intelligence (AI) in healthcare, growing adoption of telemedicine and remote care, and increasing government investments, are factors contributing to market growth.

Healthcare systems across the Middle East are undergoing rapid digitalization, harnessing AI integration. National healthcare strategies across the Middle East, such as Saudi Arabia’s Vision 2030 and the UAE’s Vision 2031, are significantly accelerating the adoption of AI-driven patient engagement solutions. Governments are investing substantially in AI-powered platforms to support preventive care, chronic disease management, and improved health outcomes. Such initiatives encourage hospitals and private healthcare organizations to align with government objectives, thereby increasing demand for AI-enabled patient engagement solutions.

Investments facilitate the deployment of advanced AI-powered tools, including chatbots, virtual health assistants, and predictive analytics platforms that optimize patient communication and healthcare accessibility. For instance, in April 2025, Scale AI collaborated with the Qatar government to develop AI agents for healthcare. This deal includes developing AI voice, chat, and email agents for contact centers.

Moreover, the rapid adoption of telehealth platforms and remote patient monitoring solutions drives market growth further. Patients are adopting mobile health applications, patient portals, wearable devices, and virtual consultations that empower them to manage their health proactively. For instance, in January 2025, Medinous HMS launched a next-generation patient mobile application simplifying healthcare access and engagement. Features include seamless appointment scheduling for new and registered patients, instant access to medical records, real-time lab and procedure results, secure communication, payment management, insurance status updates, and personalized patient dashboards.

Middle East AI In Patient Engagement Market Report Segmentation

This report forecasts revenue growth at the 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 Middle East AI in patient engagement market report based on delivery mode, functionality, technology, therapeutic area, end use, and country:

• Delivery Mode Outlook (Revenue, USD Million, 2021 - 2033)
• Cloud-based
• On-premise
• Functionality Outlook (Revenue, USD Million, 2021 - 2033)
• Enhanced Communication
• Patient Education
• Chatbots and Virtual Health Assistants
• Predictive Analytics
• Administrative and Streamlined Operations
• Others
• Technology Outlook (Revenue, USD Million, 2021 - 2033)
• Natural Language Processing (NLP)
o Smart Assistance
o OCR (Optical Character Recognition)
o Auto Coding
o Text Analytics
o Speech Analytics
o Classification and Categorization
• Others
• Therapeutic Area Outlook (Revenue, USD Million, 2021 - 2033)
• Health & Wellness
• Chronic Disease Management
• Others
• End Use Outlook (Revenue, USD Million, 2021 - 2033)
• Healthcare Providers
• Healthcare Payers
• Pharmaceutical Companies
• Pharmacy
• Country Outlook (Revenue, USD Million, 2021 - 2033)
• Saudi Arabia
• UAE
• Kuwait
• Qatar
• Oman

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Table of Contents

Table of Contents

Chapter 1. Methodology and Scope
1.1. Market Segmentation & Scope
1.2. Market Definitions
1.2.1. Delivery Mode
1.2.2. Functionality Segment
1.2.3. Technology Segment
1.2.4. Therapeutic Area Segment
1.2.5. 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 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. Middle East AI in Patient Engagement 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. Middle East AI in Patient Engagement Market Analysis Tools
3.3.1. Industry Analysis - Porter’s Five Forces Analysis
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 Studies
3.5. Technology Overview
Chapter 4. Middle East AI in Patient Engagement Market: Delivery Mode Estimates & Trend Analysis
4.1. Segment Dashboard
4.2. Middle East AI in Patient Engagement Market Delivery Mode Movement Analysis
4.3. Middle East AI in Patient Engagement Market Size & Trend Analysis, by Delivery 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-premise
4.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 5. Middle East AI in Patient Engagement Market: Functionality Estimates & Trend Analysis
5.1. Segment Dashboard
5.2. Middle East AI in Patient Engagement Market Functionality Movement Analysis
5.3. Middle East AI in Patient Engagement Market Size & Trend Analysis, by Functionality, 2021 to 2033 (USD Million)
5.4. Enhanced Communication
5.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.5. Patient Education
5.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.6. Chatbots and Virtual Health Assistants
5.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.7. Predictive Analytics
5.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.8. Administrative and Streamlined Operations
5.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.9. Others
5.9.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 6. Middle East AI in Patient Engagement Market: Technology Estimates & Trend Analysis
6.1. Segment Dashboard
6.2. Middle East AI in Patient Engagement Market Technology Movement Analysis
6.3. Middle East AI in Patient Engagement Market Size & Trend Analysis, by Technology, 2021 to 2033 (USD Million)
6.4. Natural Language Processing (NLP)
6.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.4.2. Smart Assistance
6.4.2.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.4.3. OCR (Optical Character Recognition)
6.4.3.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.4.4. Auto Coding
6.4.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.4.5. Text Analytics
6.4.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.4.6. Speech Analytics
6.4.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.4.7. Classification and Categorization
6.4.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.5. Others
6.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 7. Middle East AI in Patient Engagement Market: Therapeutic Area Estimates & Trend Analysis
7.1. Segment Dashboard
7.2. Middle East AI in Patient Engagement Market Therapeutic Area Movement Analysis
7.3. Middle East AI in Patient Engagement Market Size & Trend Analysis, by Therapeutic Area, 2021 to 2033 (USD Million)
7.4. Health & Wellness
7.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
7.5. Chronic Disease Management
7.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
7.6. Others
7.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 8. Middle East AI in Patient Engagement Market: End Use Estimates & Trend Analysis
8.1. Segment Dashboard
8.2. Middle East AI in Patient Engagement Market End Use Movement Analysis
8.3. Middle East AI in Patient Engagement Market Size & Trend Analysis, by End Use, 2021 to 2033 (USD Million)
8.4. Healthcare Providers
8.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
8.5. Healthcare Payers
8.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
8.6. Pharmaceutical Companies
8.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
8.7. Pharmacy
8.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 9. Middle East AI in Patient Engagement Market: Regional Estimates & Trend Analysis
9.1. Regional Market Share Analysis, 2024 & 2033
9.2. Market Size & Forecasts Trend Analysis, 2021 to 2033:
9.3. Middle East
9.3.1. Saudi Arabia
9.3.1.1. Key country dynamics
9.3.1.2. Regulatory framework
9.3.1.3. Competitive scenario
9.3.1.4. Saudi Arabia market estimates and forecasts, 2021 to 2033 (USD Million)
9.3.2. UAE
9.3.2.1. Key country dynamics
9.3.2.2. Regulatory framework
9.3.2.3. Competitive scenario
9.3.2.4. UAE market estimates and forecasts, 2021 to 2033 (USD Million)
9.3.3. Kuwait
9.3.3.1. Key country dynamics
9.3.3.2. Regulatory framework
9.3.3.3. Competitive scenario
9.3.3.4. Kuwait market estimates and forecasts, 2021 to 2033 (USD Million)
9.3.4. Qatar
9.3.4.1. Key country dynamics
9.3.4.2. Regulatory framework
9.3.4.3. Competitive scenario
9.3.4.4. Qatar market estimates and forecasts, 2021 to 2033 (USD Million)
9.3.5. Oman
9.3.5.1. Key country dynamics
9.3.5.2. Regulatory framework
9.3.5.3. Competitive scenario
9.3.5.4. Oman market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 10. Competitive Landscape
10.1. Company/Competition Categorization
10.2. Strategy Mapping
10.3. Company Market Position Analysis, 2024
10.4. Company Profiles/Listing
10.4.1. Oracle
10.4.1.1. Company overview
10.4.1.2. Financial performance
10.4.1.3. Functionality benchmarking
10.4.1.4. Strategic initiatives
10.4.2. IQVIA Inc
10.4.2.1. Company overview
10.4.2.2. Financial performance
10.4.2.3. Functionality benchmarking
10.4.2.4. Strategic initiatives
10.4.3. Innovaccer, Inc.
10.4.3.1. Company overview
10.4.3.2. Financial performance
10.4.3.3. Functionality benchmarking
10.4.3.4. Strategic initiatives
10.4.4. UST
10.4.4.1. Company overview
10.4.4.2. Financial performance
10.4.4.3. Functionality benchmarking
10.4.4.4. Strategic initiatives
10.4.5. Huma
10.4.5.1. Company overview
10.4.5.2. Financial performance
10.4.5.3. Functionality benchmarking
10.4.5.4. Strategic initiatives
10.4.6. Ada Health GmbH
10.4.6.1. Company overview
10.4.6.2. Financial performance
10.4.6.3. Functionality benchmarking
10.4.6.4. Strategic initiatives
10.4.7. AiCure
10.4.7.1. Company overview
10.4.7.2. Financial performance
10.4.7.3. Functionality benchmarking
10.4.7.4. Strategic initiatives