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

South Africa Artificial Intelligence (AI) in Healthcare Market Analysis

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South Africa's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.04 Bn in 2022 to $0.95 Bn by 2030, registering a CAGR of 46.45% during the forecast period of 2022-30. The market will be driven by the country's high burden of disease and advanced telecommunications infrastructure. The market is segmented by healthcare components & by healthcare applications. Some of the major players include GE Healthcare, Vantage Health Technologies & Iyeza Health.

ID: IN10ZADH003 CATEGORY: Digital Health GEOGRAPHY: South Africa AUTHOR: Vidhi Upadhyay

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South Africa Artificial Intelligence (AI) In Healthcare Market Executive Summary

South Africa's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.04 Bn in 2022 to $0.95 Bn by 2030, registering a CAGR of 46.45% during the forecast period of 2022 - 2030. The healthcare system in South Africa is ranked 49th out of 89 countries. South Africa lacks a universal healthcare system. It instead employs two parallel systems. A private healthcare system and a public healthcare system work hand in hand. The vast majority of people, up to 80%, rely on the public system for health care. In South Africa, there are over 400 public hospitals. Provincial medical centers oversee large regional hospitals. Municipal governments manage smaller hospitals and primary care clinics. On the other hand, an estimated 80% of doctors are employed by private companies, serving only about 20% of the community.

The adoption and utilization of artificial intelligence (AI) in healthcare in South Africa is still in its early stages. The country's health system has major obstacles such as a lack of medical staff, unequal access to healthcare, and a rising disease burden, making it an ideal candidate for AI implementation. Based on symptoms as well as medical records, the South African government has developed an AI-powered system that predicts the likelihood of a patient being diagnosed with tuberculosis (TB). Another application of AI in South African healthcare is the development of telemedicine solutions, which enable healthcare providers to remotely monitor patients and provide consultations, which is especially important in a country with large rural areas and limited access to healthcare. The University of Johannesburg's Institute for Intelligent Systems developed an application that automatically and remotely monitors patients' vital signs in real-time, collecting, processing, and analyzing the resulting data. The "e-mutakalo" (Tshivenda for "health") device alerts medical professionals in the event of an emergency.

South Africa Artificial Intelligence (AI) In Healthcare Market

Market Dynamics

Market Growth Drivers

The advanced telecommunications network and expanding technology sector in the country provide a solid basis for the establishment and implementation of AI in healthcare. Both the public and private sectors are increasingly interested in and investing in AI technology and innovation. the country's high disease burden puts a burden on the healthcare system and necessitates the development of novel solutions to improve the quality and efficiency of healthcare services. The widespread use of electronic health records, as well as the increasing use of digital technologies in healthcare, generate massive amounts of data that can be used to train AI algorithms and models. Such drivers are set to expand the AI healthcare market in South Africa.

Market Restraints

There are certain barriers to AI adoption and utilisation in healthcare in South Africa. One significant barrier is the lack of data infrastructure and interconnectivity across healthcare systems, which makes developing accurate AI algorithms and models difficult. Another concern is the absence of funding and investment in AI technology and infrastructure, especially in the public sector. As a result, smaller healthcare organisations find it difficult to embrace and begin using AI solutions.

Competitive Landscape

Key Players

IBM Watson Health
GE Healthcare
Siemens Healthineers
Philips Healthcare
Vantage Health Technologies (ZAF)
Iyeza Health (ZAF)
CenHealth (ZAF)
RecoMed (ZAF)
Vodacom Group (ZAF)
Envisionit Deep AI (ZAF)

Notable Insights

February 2023, Envisionit Deep AI of South Africa received $1.65 Mn to expand access to medical imaging.

September 2022, in collaboration with regional telco operators, SmarTek21 broadens its AI IntelliTek platform into South Africa, with AI Intelligent Technologies focusing on Streamlining Healthcare and Education across the continent.

June 2022, Stellenbosch University researchers are developing an app that can listen to your cough and determine whether or not you have tuberculosis.

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

South Africa Artifical Intelligence (AI) in Healthcare Market Segmentation

The 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.