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

Egypt Artificial Intelligence (AI) in Diagnostics Market Analysis

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Egypt's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $2.8 Mn in 2022 to $33.75 Mn by 2030, registering a CAGR of 36.5% during the forecast period of 2022-2030. The market will be driven by the country's attempts to improve ’s entire healthcare system, as well as the significant demand for modern diagnostic solutions. The market is segmented by component & by diagnosis. Some of the major players include IBM Watson Health, Siemens Healthineers & Lunit Inc.

ID: IN10EGDH002 CATEGORY: Digital Health GEOGRAPHY: Egypt AUTHOR: Vidhi Upadhyay

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Egypt Artificial Intelligence (AI) in Diagnostics Market Executive Summary

Egypt's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $2.8 Mn in 2022 to $33.75 Mn by 2030, registering a CAGR of 36.5% during the forecast period of 2022 - 2030. There are several participants in Egypt's healthcare system, including a diverse spectrum of governmental and commercial healthcare providers, as well as different finance agencies. Egypt's public investment has grown by 205% in the last year to allow for the expansion of the healthcare system during the outbreak of COVID-19.

The use of Artificial Intelligence (AI) in diagnostics is still in its beginning stages in Egypt, however, there are some encouraging signs. In recent years, there has been a rise in demand and investments in AI in the country, and one domain where AI has the likelihood of having a major impact is diagnostics. The use of machine learning algorithms to analyze medical images such as X-rays and CT scans to assist identification and diagnosis of illnesses such as cancer is one example of AI in diagnostics in Egypt. This technology is being employed in various Egyptian hospitals and clinics, and it has shown good results in terms of enhancing diagnostic accuracy and speed.

egypt artificial intelligence in diagnostics market

Market Dynamics

Market Growth Drivers

Egypt has taken the initiative to establish a Regional Research and Development Center to serve the Arab and African regions. The government has created the Universal Health Insurance System (UHIS), which intends to employ artificial intelligence (AI) to digitize healthcare data and enhance healthcare services. Moreover, the increasing prevalence of chronic diseases, the growing demand for more precise and effective diagnostic tools, and the availability of contemporary information technology are expected to drive market expansion.

Market Restraints

Even though healthcare expenditure is growing in absolute terms, total health expenditure as a proportion of GDP is decreasing. The Egyptian healthcare industry is mostly focused on out-of-pocket expenses. The AI Diagnostics market is also limited by challenges such as data privacy and security concerns, as well as the need for significant investment in AI infrastructure and skill building. Moreover, regulatory barriers and a lack of uniformity may stymie the growth of the AI in diagnostics market in Egypt.

Competitive Landscape

Key Players

IBM Watson Health
Siemens Healthineers
Philips Healthcare
GE Healthcare
Google Health
AliveCor, Inc.
Lunit Inc.

Notable Deals

January 2022, Lunit, a South Korean AI firm, established a reference site deal with Egypt's Baheya Foundation for Detection & Treatment of Breast Cancer (Egypt), which will use their mammography AI.

Healthcare Policies and Regulatory Landscape

The Ministry of Health (MOHP) is in charge of regulating the use of medical equipment and technology in Egypt, including AI diagnostics. This entails establishing quality, safety, and performance criteria for these instruments, as well as performing assessments and inspections to guarantee compliance.

The Egyptian Drug Authority (EDA) is in charge of regulating medication and medical product use in Egypt, including AI diagnostics designated as medical devices. Before new AI diagnostic tools may be marketed or sold in Egypt, the EDA must evaluate and approve them, as well as ensure that they fulfill the relevant quality and safety criteria.

Reimbursement Scenario

The MOHP and the EDA, along with governing AI diagnostics, have a role in reimbursing healthcare providers for the cost of these instruments. The MOHP is in charge of determining reimbursement rates for medical equipment and technology, including AI diagnostics, while the EDA collaborates with healthcare providers to make these tools economical and accessible to patients.

The Egyptian government recently introduced a new plan dubbed the Decent Life presidential initiative, which provides medical insurance to all people.

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.