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

South Africa Artificial Intelligence (AI) in Diagnostics Market Analysis

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South Africa's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $6.5 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 rising demand for personalized healthcare, as well as the need to address health inequities and resource limitations. The market is segmented by component & by diagnosis. Some of the major players include IBM Watson Health, Siemens Healthineers & Envisionit Deep AI

ID: IN10ZADH002 CATEGORY: Digital Health GEOGRAPHY: South Africa AUTHOR: Vidhi Upadhyay

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South Africa Artificial Intelligence (AI) in Diagnostics Market Executive Summary

The South Africa Artificial Intelligence (AI) in the diagnostics market is projected to grow from $6.5 Mn in 2022 to $xx Mn by 2030, registering a CAGR of xx% during the forecast period of 2022 - 2030. The Department of Health is in charge of healthcare in South Africa. A private healthcare system and a public healthcare system work hand in hand. According to the government's budget for the fiscal year 2022/23. Healthcare had a total budget allocation of $16.4 Bn, a 1.1% increase over the previous year. Based on existing statistics, it is anticipated that about 110,000 new instances of cancer were identified in South Africa in 2020, with more than 56,000 cancer-related fatalities, accounting for one-quarter of all premature noncommunicable disease-related mortality.

AI diagnostics have the potential to improve healthcare outcomes in South Africa, particularly in areas with a dearth of medical experts or restricted access to healthcare facilities. Early diagnosis of illnesses such as TB, HIV, and cancer is one instance in which AI diagnostics is valuable. These disorders can be difficult to identify in many situations, particularly in resource-constrained areas where access to medical equipment and knowledge may be restricted. AI diagnostics might be effective in the management of chronic illnesses like diabetes and hypertension, with the country's chronic illness burden increasing.

In February 2023, EnVision Deep AI of South Africa wins $1.65 million to enhance access to medical imaging. Its RADIFY AI technology is enhancing the speed, accuracy, quality, and affordability of medical imaging diagnostics in the early identification and treatment of illnesses such as TB, coronavirus pneumonia, and breast cancer.

south africa artificial intelligence in diagnostics market

Market Dynamics

Market Growth Drivers

Many factors are driving the expansion of AI diagnostics in South Africa, including breakthroughs in machine learning and data analytics, rising demand for customized healthcare, and the need to address healthcare inequities and resource restrictions.

In South Africa, digital health technology and electronic health records are becoming more widely available. The country's expanding chronic illness burden has necessitated more aggressive and tailored healthcare management. South Africa's healthcare inequities and resource restrictions require to be addressed via AI diagnostics which can aid by delivering cost-effective and accessible healthcare solutions, especially in rural and underserved areas with limited access to medical personnel and facilities.

Market Restraints

One of the most significant obstacles is a shortage of skilled employees and infrastructure to support these technologies, especially in rural regions. There are also concerns about data privacy and the possibility of bias in AI algorithms, which might affect the accuracy and reliability of AI diagnosis. Another barrier is the lack of regulatory frameworks to ensure that AI diagnoses are safe, effective, and available to all South Africans. This involves ensuring that AI diagnoses are exposed to rigorous testing and validation before they are applied in clinical settings.

Competitive Landscape

Key Players

IBM Watson Health
Siemens Healthineers
Philips Healthcare
GE Healthcare
Google Health
AliveCor, Inc.
Lunit Inc.
VitruvianMD (ZAF)
Envisionit Deep AI (ZAF)
Spanos Medical (ZAF)
SensiCardiac (ZAF)
Accrad (ZAF)

Notable Deals

February 2023, EnVision Deep AI of South Africa wins $1.65 million to enhance access to medical imaging.

Healthcare Policies and Regulatory Landscape and Reimbursement Scenario

The South African Health Products Regulatory Authority (SAHPRA), formerly known as the Medicine and Control Council (MCC), is the regulatory authority in South Africa for pharmaceuticals, biologicals, and medical devices.

South Africa currently lacks a national healthcare system. South Africa's government is establishing National Health Insurance (NHI), which it hopes to completely implement by 2025. Those without medical insurance can currently use Government public hospitals. Those who can afford private medical insurance can use private hospitals, depending on the medical aid plan they have.

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.