UAE Artificial Intelligence (AI) in Healthcare Market Report 2022 to 2030

UAE Artificial Intelligence (AI) in Healthcare Market Analysis

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The UAE Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.04 Bn in 2022 to $0.72 Bn by 2030, registering a CAGR of 46.22% during the forecast period of 2022-2030. The market will be driven by government investment in this area and the growing number of private companies working on AI-powered healthcare solutions. The market is segmented by healthcare components & by healthcare applications. Some of the major players include IBM Watson Health, Healthigo & Mubadala Healthcare.

ID: IN10AEDH003 CATEGORY: Digital Health GEOGRAPHY: UAE AUTHOR: Vidhi Upadhyay

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UAE Artificial Intelligence (AI) In Healthcare Market Executive Summary

The UAE Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.04 Bn in 2022 to $0.72 Bn by 2030, registering a CAGR of 46.22% during the forecast period of 2022-2030. The UAE's healthcare system is widely regarded as among the best in the world. In fact, there are 181 doctors for every 100,000 people. The UAE has a population of roughly 9.4 Mn people, with approximately 85% of them being expatriates. According to the World Health Organization, one-third of adults in the UAE are obese, and one in every five people has diabetes. As the prevalence of lifestyle diseases rises, these populations, who have relatively high levels of income, will demand higher levels of healthcare quality.

In recent years, the use of Artificial Intelligence (AI) in healthcare has gained traction in the UAE. The UAE government has made significant investments in building an efficient healthcare system that makes use of advanced technologies such as AI to provide better healthcare services to its citizens. AI is being used to create algorithms that will aid in the diagnosis and treatment of diseases more precisely and rapidly. It is used to analyse medical images such as X-rays, CT scans, and MRI scans, as well as to analyse patient data in EHRs to identify patterns and trends that can help doctors provide more personalised and effective treatments. It is also used to remotely monitor patients, allowing doctors to keep track of their health conditions and intervene as needed.

The Dubai Health Authority (DHA) has established the Dubai Health Innovation Centre, which is developing and testing new healthcare technologies, including AI-powered solutions. Several UAE-based private companies are also investing in AI-powered healthcare solutions. Vezeeta, a Dubai-based startup, has created an AI-powered platform that assists patients in finding doctors and booking appointments online.

UAE Artificial Intelligence (AI) In Healthcare Market

Market Dynamics

Market Growth Drivers

One of the major drivers is the country's emphasis on developing a strong healthcare system which employs advanced technologies such as artificial intelligence to enhance the level of treatment provided to its citizens. The UAE government has made substantial investments in healthcare infrastructure and technology, creating an enabling environment for the development and adoption of AI-powered healthcare solutions. Another driver of AI in healthcare growth in the UAE is the growing demand for personalised healthcare services. Patients are continually turning to healthcare solutions that are customized to their particular needs, which AI-powered solutions can provide. Large amounts of patient data can be analysed by AI algorithms to identify patterns and trends that can help doctors provide more personalised and effective treatments.

Market Restraints

There are several impediments to the growth of AI in healthcare in the UAE. One of the most significant impediments is the lack of data information exchange among healthcare providers. Many healthcare providers in the UAE work in storage facilities, making it difficult to share patient data and create AI-powered solutions that can be used throughout the healthcare system. Another impediment is the scarcity of trained individuals capable of developing and implementing AI-powered healthcare solutions. While AI is gaining popularity in the UAE, there is still a scarcity of skilled professionals capable of developing and implementing these solutions.

Competitive Landscape

Key Players

IBM Watson Health
Google Health
Amazon Web Services
Microsoft Healthcare
NVIDIA
Cerner Middle East and Africa
Healthigo (ARE)
Mubadala Healthcare (ARE)
NMC Healthcare (ARE)

Notable Insights

In December 2022, in collaboration with the UAE Artificial Intelligence Office, Dubai hosted a regional conference on Artificial Intelligence and Healthcare.

In August 2022, The Department of Health - Abu Dhabi (DOH) and Malaffi, the health information exchange system, collaborated to predict patients' future disease risks using AI (artificial intelligence).

1. Executive Summary
1.1 Digital Health Overview
1.2 Global Scenario
1.3 Country Overview
1.4 Healthcare Scenario in Country
1.5 Digital Health Policy in Country
1.6 Recent Developments in the Country

2. Market Size and Forecasting
2.1 Market Size (With Excel and Methodology)
2.2 Market Segmentation (Check all Segments in Segmentation Section)

3. Market Dynamics
3.1 Market Drivers
3.2 Market Restraints

4. Competitive Landscape
4.1 Major Market Share

4.2 Key Company Profile (Check all Companies in the Summary Section)

4.2.1 Company
4.2.1.1 Overview
4.2.1.2 Product Applications and Services
4.2.1.3 Recent Developments
4.2.1.4 Partnerships Ecosystem
4.2.1.5 Financials (Based on Availability)

5. Reimbursement Scenario
5.1 Reimbursement Regulation
5.2 Reimbursement Process for Diagnosis
5.3 Reimbursement Process for Treatment

6. Methodology and Scope

Artifical Intelligence (AI) in Healthcare Market Segmentation

The Artificial Intelligence (AI) in Healthcare Market is segmented as mentioned below:

By Healthcare Component (Revenue, USD Billion):

Software Solutions
Hardware
Services

By Healthcare Applications (Revenue, USD Billion):

Robot-Assisted Suregery
Virtual Assistants
Administrative Workflow Assistants
Connected Machines
Diagnosis
Clinical Trials
Fraud Detection
Cybersecurity
Dosage Error Reduction

Methodology for Database Creation

Our database offers a comprehensive list of healthcare centers, meticulously curated to provide detailed information on a wide range of specialties and services. It includes top-tier hospitals, clinics, and diagnostic facilities across 30 countries and 24 specialties, ensuring users can find the healthcare services they need.

Additionally, we provide a comprehensive list of Key Opinion Leaders (KOLs) based on your requirements. Our curated list captures various crucial aspects of the KOLs, offering more than just general information. Whether you're looking to boost brand awareness, drive engagement, or launch a new product, our extensive list of KOLs ensures you have the right experts by your side. Covering 30 countries and 36 specialties, our database guarantees access to the best KOLs in the healthcare industry, supporting strategic decisions and enhancing your initiatives.

How Do We Get It?

Our database is created and maintained through a combination of secondary and primary research methodologies.

1. Secondary Research

With many years of experience in the healthcare field, we have our own rich proprietary data from various past projects. This historical data serves as the foundation for our database. Our continuous process of gathering data involves:

Analyzing historical proprietary data collected from multiple projects.
Regularly updating our existing data sets with new findings and trends.
Ensuring data consistency and accuracy through rigorous validation processes.

With extensive experience in the field, we have developed a proprietary GenAI-based technology that is uniquely tailored to our organization. This advanced technology enables us to scan a wide array of relevant information sources across the internet. Our data-gathering process includes:

Searching through academic conferences, published research, citations, and social media platforms
Collecting and compiling diverse data to build a comprehensive and detailed database
Continuously updating our database with new information to ensure its relevance and accuracy

2. Primary Research

To complement and validate our secondary data, we engage in primary research through local tie-ups and partnerships. This process involves:

Collaborating with local healthcare providers, hospitals, and clinics to gather real-time data.
Conducting surveys, interviews, and field studies to collect fresh data directly from the source.
Continuously refreshing our database to ensure that the information remains current and reliable.
Validating secondary data through cross-referencing with primary data to ensure accuracy and relevance.

Combining Secondary and Primary Research

By integrating both secondary and primary research methodologies, we ensure that our database is comprehensive, accurate, and up-to-date. The combined process involves:

Merging historical data from secondary research with real-time data from primary research.
Conducting thorough data validation and cleansing to remove inconsistencies and errors.
Organizing data into a structured format that is easily accessible and usable for various applications.
Continuously monitoring and updating the database to reflect the latest developments and trends in the healthcare field.

Through this meticulous process, we create a final database tailored to each region and domain within the healthcare industry. This approach ensures that our clients receive reliable and relevant data, empowering them to make informed decisions and drive innovation in their respective fields.