Qatar Artificial Intelligence (AI) in Diagnostics Market Report 2022 to 2030

Qatar Artificial Intelligence (AI) in Diagnostics Market Analysis

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Qatar's Artificial Intelligence (AI) in the Diagnostics market is projected to grow from $4 Mn in 2022 to $xx Mn by 2030, registering a CAGR of xx% during the forecast period of 2022-2030. The market will be driven by government initiatives to improve healthcare access and quality throughout the country and the rising need for efficient and precise medical diagnosis. The market is segmented by component & by diagnosis. Some of the major players include IBM Watson Health, Siemens Healthineers & Avey.

ID: IN10QADH002 CATEGORY: Digital Health GEOGRAPHY: Qatar AUTHOR: Vidhi Upadhyay

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Qatar Artificial Intelligence (AI) in Diagnostics Market Executive Summary

The Qatar Artificial Intelligence (AI) in the diagnostics market is projected to grow from $4 Mn in 2022 to $xx Mn by 2030, registering a CAGR of xx% during the forecast period of 2022 - 2030. Qatar has a complex and comprehensive healthcare system that provides its inhabitants and citizens with high-quality medical services. The Hamad Medical Corporation (HMC), the country's principal healthcare provider, runs the public healthcare system in Qatar. HMC maintains various hospitals and clinics around Qatar and provides a variety of services including primary care, emergency care, and specialist treatment for complicated medical diseases. According to the most recent WHO statistics published in 2020, the number of Coronary Heart Disease fatalities in Qatar reached 1,082, accounting for 26.54% of all deaths.

While the AI diagnostics industry in Qatar is expanding owing to government initiatives and the growing demand for better diagnostic solutions, there are still obstacles to overcome in terms of AI-based diagnostic tool adoption and acceptability in the healthcare system. Aave, a Qatar-based company, offers an AI-powered self-diagnosis tool to help people gain access to better healthcare. The startup's goal is to provide every patient anywhere in the globe with a rapid, accurate, and quick health evaluation by just asking a few questions during an interactive session. In April 2022, The Qatar Foundation designed a novel eye-tracking screening tool to aid in the diagnosis of Autism Spectrum Disorder (ASD) in early childhood.

qatar artificial intelligence in diagnostics market

Market Dynamics

Market Growth Drivers

Qatar's healthcare system is advanced and provides high-quality medical treatment to its inhabitants and residents. The government has made major expenditures in healthcare infrastructure and technology, and it is working to improve healthcare access and quality throughout the country. The rising need for efficient and precise medical diagnosis has expanded the use of artificial intelligence (AI) in healthcare. Furthermore, the growing frequency of chronic illnesses such as diabetes, cancer, and cardiovascular disease has increased the demand for better diagnostic tools.

Market Restraints

One of the most significant barriers is a lack of understanding and confidence in AI-based diagnostic tools among healthcare professionals and patients. Many healthcare workers are still unfamiliar with the use of AI in healthcare, which might hinder the tool’s uptake. Furthermore, some patients may be cautious to depend on only AI-based diagnostic tools, preferring to be diagnosed and treated by a human doctor. Another impediment is the high cost of AI-based diagnostic technologies, as well as a lack of payment rules in the healthcare system. These issues may hinder the adoption of AI-based diagnostic tools, especially among smaller healthcare facilities that may lack the financial resources to invest in such technology.

Competitive Landscape

Key Players

IBM Watson Health
Siemens Healthineers
Philips Healthcare
GE Healthcare
Google Health
AliveCor, Inc.
Lunit Inc.
Avey (QAT)

Healthcare Policies and Regulatory Landscape and Reimbursement Scenario

The Ministry of Public Health in Qatar is the regulatory entity in charge of supervising and supervising the use of AI in healthcare. The Ministry of Health has developed standards for the use of AI-based diagnostic tools in healthcare, covering clinical validation and safety evaluations.

In addition, the Ministry is involved in the reimbursement of AI-based diagnostic tools. Qatar's healthcare system is based on a universal healthcare model, in which the state subsidizes healthcare to all citizens and residents of the nation. The government pays healthcare providers for the costs of medical services and treatments, including diagnostic equipment.

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.