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

UAE Artificial Intelligence (AI) in Medical Imaging Market Analysis

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UAE artificial intelligence (AI) in medical Imaging market size was valued at $8 Mn in 2022 and is estimated to expand at a compound annual growth rate (CAGR) of 36.4% from 2022 to 2030 and will reach $90Mn. The market is segmented by AI technology, solution, modality, application, and end User. The UAE is home to some of the world's leading healthcare providers and technology companies. The country has made significant investments in the development of AI technologies, which has led to the availability of advanced AI-based medical imaging solutions. Some of the key players in this market are CureMetrix UAE, HeartVista, Sophia Genetics, AIDoc Medical, Zebra Medical Vision, GE Healthcare, Siemens Healthineers, Philips Healthcare, Fujifilm Medical Systems, Canon Medical Systems, and others.

ID: IN10AEDH023 CATEGORY: Digital Health GEOGRAPHY: UAE AUTHOR: Chandani Patel

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UAE Artificial Intelligence (AI) in Medical Imaging

Market Executive Summary

UAE artificial intelligence (AI) in medical Imaging market size was valued at $8 Mn in 2022 and is estimated to expand at a compound annual growth rate (CAGR) of 36.4% from 2022 to 2030 and will reach $90. Dubai: Dubai is one of the leading cities in the UAE when it comes to the adoption of AI in medical imaging. Several healthcare providers in Dubai are using AI-based medical imaging technologies for various applications, such as automated analysis of X-rays, CT scans, and MRI scans, improving the accuracy of diagnosis, and reducing the time required for diagnosis. Additionally, the Dubai Healthcare City Authority (DHCA) has launched several initiatives to promote healthcare innovation, including the use of AI in medical imaging.

Abu Dhabi is home to several leading healthcare providers, including the Abu Dhabi Health Services Company (SEHA). SEHA has implemented AI-based medical imaging technologies for various applications, such as automated detection of breast cancer and lung disease, and improving the accuracy of medical diagnosis. The Abu Dhabi Department of Health has also launched several initiatives to promote the adoption of AI in healthcare, including the development of an AI-based medical imaging center.

Moreover, Sharjah is another city in the UAE that is witnessing the adoption of AI in medical imaging. Several healthcare providers in Sharjah are using AI-based medical imaging technologies for various applications, such as automated analysis of X-rays and CT scans, improving the accuracy of diagnosis, and reducing the time required for diagnosis. Additionally, the Sharjah Research, Technology and Innovation Park (SRTI Park) has launched several initiatives to promote healthcare innovation, including the use of AI in medical imaging.

Additoonally, AI in medical imaging is also gaining traction in other emirates of the UAE, such as Ras Al Khaimah and Fujairah. Several healthcare providers in these emirates are using AI-based medical imaging technologies for various applications, such as automated analysis of X-rays and CT scans, improving the accuracy of diagnosis, and reducing the time required for diagnosis. Furthermore, the UAE government is actively promoting healthcare innovation in these emirates through various initiatives and policies. Therefore, the demand for AI in medical imaging in UAE will increase in the coming years.

uae AI in medical imaging market

Market Dynamics

Market Growth Drivers

Increased Efficiency: The use of AI in medical imaging can improve the efficiency of medical diagnosis, reducing the time and effort required by physicians. This, in turn, can lead to better patient outcomes, increased productivity, and reduced costs.

Technological Advancements: The UAE is home to some of the world's leading healthcare providers and technology companies. The country has made significant investments in the development of AI technologies, which has led to the availability of advanced AI-based medical imaging solutions.
Growing Healthcare Demand: The UAE has a growing population that is increasingly seeking advanced healthcare services. The use of AI in medical imaging can improve the accuracy and speed of diagnosis, reducing the need for invasive procedures and hospitalization.
Government Initiatives: The UAE government is committed to promoting healthcare innovation and is investing heavily in the development of healthcare infrastructure. This includes the implementation of AI-based medical imaging technologies in healthcare facilities across the country.

Market Restraints:

High Costs: The development and implementation of AI-based medical imaging solutions can be expensive, and this can limit their adoption, especially among smaller healthcare providers.
Data Security and Privacy: AI-based medical imaging systems rely heavily on patient data, which raises concerns about data security and privacy. The UAE government has implemented strict regulations to protect patient data, and healthcare providers must comply with these regulations.
Lack of Skilled Professionals: The implementation of AI-based medical imaging systems requires skilled professionals who can operate and maintain these systems. The UAE faces a shortage of skilled healthcare professionals, which can limit the adoption of these technologies.
Regulatory Hurdles: The use of AI in medical imaging is subject to regulatory scrutiny, and healthcare providers must comply with various regulations before they can implement these technologies. This can delay the adoption of AI-based medical imaging systems in the UAE.

Competitive Landscape

Key Players

CureMetrix UAE
HeartVista
Sophia Genetics
AIDoc Medical
Zebra Medical Vision
GE Healthcare
Siemens Healthineers
Philips Healthcare
Fujifilm Medical Systems
Canon Medical Systems
Hitachi Healthcare
Carestream Health
Samsung Medison
Hologic
Agfa-Gevaert Group

Recent Developments

AI-powered radiology platform: In 2020, Abu Dhabi-based healthcare provider, NMC Health, launched an AI-powered radiology platform to improve the accuracy and efficiency of medical imaging diagnosis. The platform uses deep learning algorithms to analyze medical images and provide automated diagnoses.

AI-based breast cancer screening: In 2020, the UAE Ministry of Health and Prevention announced a new breast cancer screening program that uses AI to analyze mammography images. The program aims to improve early detection of breast cancer and reduce mortality rates.

Healthcare Policies and Regulatory Landscape

The United Arab Emirates (UAE) is currently in the process of developing regulations for AI in medical imaging. In September 2020, the UAE's Federal Authority for Identity and Citizenship (ICA) announced plans to implement AI technology in medical imaging to improve healthcare services in the country.

The ICA has stated that AI will be used to analyze medical images and help doctors make more accurate diagnoses. However, there is no specific regulatory framework in place for AI in medical imaging in the UAE at present. In general, the UAE is actively working on developing regulations for AI across different industries. In 2019, the UAE government launched the UAE Artificial Intelligence Strategy 2031, which aims to establish the UAE as a global leader in AI by 2031. The strategy includes initiatives to develop AI ethics and regulatory frameworks to ensure the responsible use of AI technologies in different sectors.

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 Medical Imaging Market Segmentation

By AI Technology

Deep Learning
Natural Language Processing (NLP)
Others

By Solution

Software Tools/ Platform
Services
- Integration
- Deployment

By Modality

When compared to CT scans, magnetic resonance imaging can produce pictures that are free of imperfections. Due to its efficiency in obtaining details and better-quality pictures of soft tissues, the MRI is frequently seen as a superior alternative to X-rays. Utilizing optical coherence tomography, three-dimensional interactions between the retina and membranes are made possible in order to control the vitreoretinal disease.

CT Scan
MRI
X-rays
Ultrasound Imaging
Nuclear Imaging

By Application

The market is dominated by the digital pathology segment, which can be linked to pathologists' rising productivity. A validation tool for image analytics is provided by digital pathology, helping pathologists process more slides in less time. This facilitates early illness identification and quicker therapy initiation. AI and digital pathology also assist doctors in making patient-centered decisions. The oncology market is also expected to grow in popularity as more individuals become aware of cancer and its increased incidence in the public. Personalized therapy is made possible by artificial intelligence algorithms that identify and comprehend the nature of malignancies. The second section focUses on AI-driven diagnostic imaging for the heart, brain, breast, and mouth.

Digital Pathology
Oncology
Cardiovascular
Neurology
Lung (Respiratory System)
Breast (Mammography)
Liver (GI)
Oral Diagnostics
Other

By End Use

The market is dominated by the healthcare sector. This is becaUse hospitals are widely dispersed and accessible; hence, many patients like hospitals. The market for medical imaging AI is also anticipated to benefit from favorable reimbursement regulations. During the anticipated time, diagnostic centers are anticipated to grow in popularity. This may be attributable to elements including rising patient awareness and a desire for diagnostic procedures and tests, all of which are fueling the market's expansion. Due to its ease in providing high-quality medical facilities in remote places, particularly rural ones, the ambulatory category is expected to develop at a quicker CAGR throughout the projection period. The availability of qualified surgeons and a surplAustralia of the necessary equipment are contributing to the expansion of the hospital market. Government assistance in emerging nations is likely to boost hospital infrastructure and technologies throughout the forecast period, which is anticipated to caUse the hospital segment to see growth.

Hospital and Healthcare Providers
Patients
Pharmaceuticals and Biotechnology Companies
Healthcare Payers
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.