UAE Artificial Intelligence in Diagnostics Market Analysis Report 2022 to 2030

UAE Artificial Intelligence (AI) in Diagnostics Market Analysis

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UAE Artificial Intelligence (AI) In the diagnostics market is projected to grow from $0.01 Bn in 2022 to $0.06 Bn by 2030, registering a CAGR of 36% during the forecast period of 2022-30. The market will be driven by technical improvements, increased healthcare spending, and an increasing preference for more precise and individualized diagnostic technology. The market is segmented by component & by diagnosis. Some of the major players include GE Healthcare, IBM Watson Health & Prognica Labs.

ID: IN10AEDH002 CATEGORY: Digital Health GEOGRAPHY: UAE AUTHOR: Vidhi Upadhyay

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UAE Artificial Intelligence (AI) In Diagnostics Market Executive Summary

UAE Artificial Intelligence (AI) In the diagnostics market is projected to grow from $0.01 Bn in 2022 to $0.06 Bn by 2030, registering a CAGR of 36% during the forecast period of 2022-30. The UAE offers a robust, government-funded health service as well as a fast-rising private health industry that provides people with high-quality health care. In 2022, the UAE had the finest healthcare system in the GCC, ranked among the top 50 internationally. In 2022, There were 1193 newly diagnosed cancer cases among UAE individuals, with 1117 (93.6%) being malignant and 76 (6.4%) being in situ instances.

The use of Artificial Intelligence (AI) in diagnostics is fast expanding in the United Arab Emirates (UAE) as the country's healthcare industry strives to enhance the accuracy and efficiency of medical diagnosis. Medical imaging analysis is a prominent use of AI in diagnostics in the UAE. AI algorithms may be trained to examine medical pictures such as X-rays, CT scans, and MRI scans to uncover patterns and abnormalities that human doctors might overlook. AI-based diagnostic tools are also being developed for other medical disciplines, such as pathology, ophthalmology, and dermatology, in addition to medical imaging. AI systems may analyze pathology pictures to locate cancer cells and assist pathologists in making more accurate diagnoses. AI-based diagnostic techniques in ophthalmology may analyze retinal pictures to detect indicators of diabetic retinopathy and other eye ailments.

uae artificial intelligence in diagnostics market analysis

Market Dynamics

Market Growth Drivers

Many UAE-based firms and academic organizations are focusing on the development and deployment of AI-based diagnostic tools. The Mohammed Bin Rashid University of Medicine and Health Sciences has a research program focusing on utilizing AI to increase the accuracy of breast cancer detection, while the Abu Dhabi-based health tech startup Prognica is employing AI to build a prostate cancer screening tool. The market for AI-based diagnostic tools in the UAE is predicted to rise considerably over the next few years, owing to factors such as technical improvements, increased healthcare spending, and an increasing preference for more precise and individualized diagnostic technology.

Market Restraints

To learn and generate accurate predictions, AI relies on enormous volumes of high-quality data. Accessing and integrating relevant data from many sources may be difficult in the UAE, particularly when data is scattered across multiple healthcare providers and systems. Moreover, other factors such as uncertainty and variability in the regulatory requirements for AI-based diagnostic tools, shortage of experts with the necessary skills and experience to develop and implement AI in healthcare & resistance to adoption and integration of AI technology in UAE may impede the growth of the market.

Competitive Landscape

Key Players

IBM Watson Health
Siemens Healthineers
Philips Healthcare
GE Healthcare
Google Health
AliveCor, Inc.
Riverain Technologies
Aidoc Medical Ltd. (ISR)
AstraZeneca
Prognica Labs (ARE)
AlemHealth (ARE)
Mubadala Health (ARE)

Notable Deals

March 2022, Aster DM Healthcare and Siemens Healthineers have formed a collaboration to drive healthcare innovation in the UAE and the GCC
December 2021, G42 Healthcare, an Abu Dhabi-based premier health tech business, and AstraZeneca work on clinical research and diagnostics. G42 Healthcare is a subsidiary of Abu Dhabi's artificial intelligence and cloud computing company G42

Healthcare Policies and Regulatory Landscape

In terms of regulation, the UAE's Ministry of Health and Prevention is in charge of medical device regulation, including AI-based diagnostic tools. Before they can be certified for clinical use, these technologies must fulfill stringent regulatory criteria and undergo extensive testing. The Dubai Health Authority (DHA) is in charge of regulating the use of artificial intelligence (AI) in healthcare in Dubai. The DHA published a regulatory framework for the use of AI in healthcare in 2019, which includes rules for using AI in diagnosis. The DHA must authorize AI diagnostic tools before they may be deployed in clinical settings, according to the framework.

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

Artificial Intelligence (AI) in Diagnostics Market Segmentation

By Component Outlook Type (Revenue, USD Billion):
- Software
- Hardware
- Services

By Diagnosis Outlook Type (Revenue, USD Billion):
- Cardiology
- Oncology
- Pathology
- Radiology
- Chest and Lung
- Neurology
- Others

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.