Kenya Artificial Intelligence (AI) in Healthcare Market Analysis

Kenya Artificial Intelligence (AI) in Healthcare Market Analysis

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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.

ID: IN10KEDH003 CATEGORY: Digital Health GEOGRAPHY: Kenya AUTHOR: Vidhi Upadhyay

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Kenya Artificial Intelligence (AI) in Healthcare Market Executive Summary

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.

kenya artificial intelligence in healthcare market

Market Dynamics

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.

Market Restraints

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.

Competitive Landscape

Key Players

  • IBM Watson Health
  • Google Health
  • GE Healthcare
  • Siemens Healthineers
  • M-Tiba (KEN)
  • Ilara Health (KEN)

Notable Insights

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)

4.2.1 Company Overview Product Applications and Services Recent Developments Partnerships Ecosystem 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

Insights10 will provide you with the reports within 10 key parameters which are:

  1. Market Overview
  2. Market Growth Drivers & Restraints
  3. Epidemiology of Disease Type
  4. Market Segmentation
  5. Market Share
  6. Competitive Landscape
  7. Key Company Profiles
  8. Healthcare Policies & Regulatory Framework
  9. Reimbursement Scenario
  10. Factors Driving Future Growth

Based on our many years of experience, we believe that these are the parameters that are critical to decision-making for business stakeholders. Our focused approach to developing reports focused on 10 key parameters, enabled us to arrive at the name “Insights10”.


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The top-down approach is mainly used for new product forecasting and the bottom-up approach is used for demand estimation of any product for different countries summed up to form the total market. We are able to round off insights and build stronger forecasts because we always do both these methods and triangulate the final numbers.

The study on the market covers the analysis of the leading geographies such as Asia-Pacific, Africa, Europe, Middle East, North America, and  Latin America for the period of 2022 to 2030. The qualitative analysis covers the industry landscape and trends, market opportunities, competitive landscape, and policy and regulatory scenario, and the quantitative analysis covers different market estimates and forecasts.

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We make sure to finalize the numbers in alignment with the market research. Firstly, our internal experts ensure thorough validation and checking to ensure accurate and precise analysis and then validation is also done using a multiple-data analysis model. Two-level validation is done and entails the finalization of the report scope and the way of representation pattern.



Stage III: Interpretation and Presentation

Analysis & Interpretation: The information gathered is then analyzed and synthesized. The second series of interviews are done if necessary to check and validate. The future opportunities are analyzed by understanding product commercialization and many other factors. It also comprises the analysis of data discrepancies observed across various data sources. Information procured from secondary and primary results is then, interpreted by considering the following parameters: (a partial list)

  • Establishing market drivers and trends
  • Analyzing the regulatory landscape to understand future growth
  • Market Segment based analysis to obtain revenue/volume
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Data curated from the analysis and interpretation are drawn to portray all in one consolidated report.

Presentation & Reporting: The market research report is presented in different forms such as charts by using a scientific approach for easy understanding. Historic, current, and future analysis is provided for each market in terms of both value and volume. The size of the market is interpreted in the US Dollar value and the respective unit, based on the product, for volume consumption.

The foreign exchange rates are calculated on the respective dates and for the respective regions covered in the study.

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Last updated on: 07 June 2023
Updated by: Dr. Purav Gandhi

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