Egypt Artificial Intelligence in Healthcare Market Report 2022 to 2030

Egypt Artificial Intelligence (AI) in Healthcare Market Analysis

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Egypt's Artificial Intelligence (AI) in the healthcare market is projected to grow from $0.02 Bn in 2022 to $0.41 Bn by 2030, registering a CAGR of 46.72% during the forecast period of 2022-30. The market will be driven by population growth, the increasing prevalence of chronic diseases, and the availability of healthcare data. The market is segmented by healthcare components & by healthcare applications. Some of the major players include IBM Watson Health, Philips Healthcare & Fawry Healthcare.

ID: IN10EGDH003 CATEGORY: Digital Health GEOGRAPHY: Egypt AUTHOR: Vidhi Upadhyay

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Egypt Artificial Intelligence (AI) in Healthcare Market Executive Summary

Egypt's Artificial Intelligence (AI) in the healthcare market is projected to grow from $0.02 Bn in 2022 to $0.41 Bn by 2030, registering a CAGR of 46.72% during the forecast period of 2022-30. The healthcare sector in Egypt is huge compared to its peers in the Middle East. Egypt offers an array of opportunities due to the Egyptian government's goal of growing the healthcare industry. Egypt's public spending has increased by 205% in the last year to allow for the strengthening of the health system. The Egyptian government also initiated a program called the Decent Life presidential initiative, which entitles all citizens to have medical insurance. Non-communicable Diseases (NCDs), which include cardiovascular diseases, diabetes, cancer, and chronic respiratory diseases, are Egypt's leading cause of death.

According to a PwC report titled 'The Potential Impact of AI in the Middle East', Egypt aims to have 7.7 percent of its GDP derived from AI by 2030. In addition, the country has developed a national AI strategy to integrate the technology into various sectors, including healthcare. Artificial intelligence (AI) has the potential to transform Egyptian healthcare by improving patient outcomes, lowering costs, and expanding access to care. In Egypt, artificial intelligence (AI) is being used in diagnostic imaging to detect abnormalities in medical images such as X-rays, CT scans, and MRIs with higher precision and rapidity than human radiologists. Even more, areas, where AI is being used in healthcare in Egypt, are disease detection and diagnosis, drug development, and improving patient engagement and access to care.

egypt artificial intelligence in healthcare market

Market Dynamics

Market Growth Drivers

The Egyptian Ministry of Communications and Information Technology, launched a project in 2020 to develop an AI-powered platform for disease diagnosis and treatment. Egypt is increasing its investment in AI technologies. The Egyptian government recognizes the potential for artificial intelligence in healthcare and has initiated a number of initiatives to help it grow. Another aspect is the increasing demand for healthcare services as a result of population growth and the number of chronic illnesses. The widespread use of electronic health records (EHRs) and the increasing interest in mobile health apps have generated massive amounts of data that can be used to train AI algorithms.

Market Restraints

The scarcity of a regulatory framework for AI in healthcare in Egypt is one of the primary impediments. This raises questions about data privacy and security, as well as the possibility of bias in AI algorithms. Another constraint is the scarcity of AI-trained healthcare professionals. The adoption of AI technologies necessitates healthcare providers to have the expertise, which may not be commonly accessible in Egypt, this may limit the adoption of AI technologies in healthcare.

Competitive Landscape

Key Players

IBM Watson Health
Philips Healthcare
GE Healthcare
NVIDIA Corporation
ITWorx Healthcare (EGY)
NileCode (EGY)
Fawry Healthcare (EGY)
Vezeeta (EGY)

Notable Insights

June 2022, Egypt is considering purchasing AI-powered medical devices from General Electric
February 2022, the Baheya Foundation Hospital & GE Healthcare leveraging Artificial Intelligence (AI) in Egypt, Collaboration for Improved Breast Cancer Outcomes
In December 2021, Roche and Microsoft agreed to collaborate to improve patient healthcare outcomes through the use of artificial intelligence (AI) and cloud technology. The agreement will be implemented in Egypt

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 Healthcare Market Segmentation

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.