Kenya's Artificial Intelligence (AI) in Healthcare Market is projected to grow from $4.83 Mn in 2022 to $101.48 Mn by 2030, registering a CAGR of 46.32% during the forecast period of 2022-30. The market will be driven by government initiatives and startups working to develop and implement AI solutions for healthcare. The market is segmented by healthcare components & by healthcare applications. Some of the major players include IBM Watson Health, NVIDIA & M-Tiba.
Kenya's Artificial Intelligence (AI) in the healthcare market is projected to grow from $4.83 Mn in 2022 to $101.48 Mn by 2030, registering a CAGR of 46.32% during the forecast period of 2022-30. Kenya's health system is broken down into three categories: public providers, private non-profit organizations, and private for-profit healthcare providers. Primary healthcare centers provide basic state-funded public healthcare. Private clinics of varying quality can be found in most major urban areas, including coastal beach resort areas like Diani and Malindi. Private hospitals are mostly concentrated in Nairobi, with a few options in Mombasa. The private Aga Khan University hospital in Nairobi is well-known and popular among foreign visitors. Kenya has one of the highest maternal mortality rates in the world, with mothers delayed in seeking care.
Acceding to the Government AI Readiness Index, Kenya is ranked number 78 globally but is ranked first amongst the 6 EAC member states. Kenya scored 28.75 on the technology pillar, which is lower than the global average of 35.17. Kenya, on the other hand, leads the region in terms of technology adoption and advancement. The Kenyan government has launched the National Health Information System (NHIS), a digital platform aimed at improving health data management and promoting the use of medical technology. In Kenya, a few startup companies and organizations are developing and implementing AI solutions for healthcare. M-Tiba, for example, is a mobile health platform that allows users to access healthcare services via their mobile phones. The platform also employs AI and machine learning algorithms to provide users with personalized healthcare recommendations. Ilara Health is a Kenyan startup that offers low-cost diagnostic equipment and services to Kenya's underprivileged areas. The company employs artificial intelligence-powered algorithms to assist doctors and healthcare providers in making accurate and timely diagnoses.
Market Growth Drivers
Kenya is experiencing a shortage of healthcare workers, particularly in rural areas. AI can assist in addressing this scarcity by automating routine tasks, freeing up healthcare workers to focus on more complicated cases. Healthcare costs are high in Kenya, and AI can greatly lower them by improving efficiency, reducing waste, and reducing errors. Kenya's startup ecosystem is expanding, and several startups are collaborating to develop and implement AI solutions for healthcare. Furthermore, the Kenyan government has launched a number of initiatives to encourage the use of technology in healthcare. The National Health Information System (NHIS), for example, seeks to digitize healthcare data and promote the use of technology in healthcare.
Kenya has limited infrastructure, particularly in rural areas, which may limit the adoption and utilization of artificial intelligence in healthcare. Quality medical data is critical for developing and implementing AI solutions in healthcare. Kenya's healthcare data, on the other hand, is fragmented, and there are concerns about data privacy and security. Creating and implementing AI solutions necessitates technical expertise, which is scarce in Kenya. In Kenya, the regulatory framework for artificial intelligence in healthcare is still being developed, and there are concerns about the ethical implications of using AI in healthcare.
March 2023, In Kenya, a collaborative data science hub is using artificial intelligence to improve health equity. Aga Khan University and the University of Michigan (U-M) held a series of meetings in Nairobi to advance a cutting-edge data science hub that uses machine learning to improve health and care delivery in local communities.
February 2023, A new tool developed by a team of Penn State researchers and Jacaranda Health - an organization dedicated to improving maternal and neonatal health outcomes in Africa - has been shown to improve health outcomes for new and expectant mothers in Kenya by providing better and more immediate access to maternal health care services.
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)
188.8.131.52 Product Applications and Services
184.108.40.206 Recent Developments
220.127.116.11 Partnerships Ecosystem
18.104.22.168 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 is segmented as mentioned below:
By Healthcare Component (Revenue, USD Billion):
By Healthcare Applications (Revenue, USD Billion):
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