Tanzania Artificial Intelligence (AI) in Healthcare Market Analysis

Tanzania Artificial Intelligence (AI) in Healthcare Market Analysis


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Tanzania's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $2.76 Mn in 2022 to $57.36 Mn by 2030, registering a CAGR of 46.12% during the forecast period of 2022-2030. The market will be driven by a rise in the availability of skilled professionals and government initiatives to improve the AI Healthcare infrastructure. The market is segmented by healthcare components & by healthcare applications. Some of the major players include IBM Watson Health, GE Healthcare & Sali Labs.

ID: IN10TZDH003 CATEGORY: Digital Health GEOGRAPHY: Tanzania AUTHOR: Vidhi Upadhyay

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Tanzania Artificial Intelligence (AI) In Healthcare Market Executive Summary

Tanzania's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $2.76 Mn in 2022 to $57.36 Mn by 2030, registering a CAGR of 46.12% during the forecast period of 2022-30. Tanzania had a total of 8,458 health facilities as of 2020. A large percentage, nearly 7.2 thousand, were dispensaries. In the same year, the country had 369 healthcare facilities and 926 medical centres. International donors supplement healthcare financing by contributing up to 40% of the healthcare budget. The US government makes a major contribution to Tanzanian government assistance programmes through USAID and the CDC. Health insurance coverage remains low, with only 32% of Tanzanians having health insurance as of 2019. Only 1% of those people have private health insurance. Tanzania is plagued by malaria, dengue fever, and cholera. There have also been reports of sleeping sickness caused by tsetse fly bites in the north, including the Serengeti. Other diseases, such as rift valley fever, are more common in rural areas with limited access to sanitation.

Tanzania's Radiant Imaging and Diagnostics Centre has used AI software to analyse medical images and recognise anomalies, allowing for a more rapid and precise diagnosis. The Arusha Lutheran Medical Centre is diagnosing and treating cervical cancer with AI-powered medical technologies. The artificial intelligence tool analyses Pap smear findings to recognise abnormal cells and assists doctors in making more accurate diagnoses. Wearable devices have been used by Tanzania's Muhimbili National Hospital to monitor pregnant women with hypertension and diabetes, allowing healthcare professionals to detect and manage any potential complications. AI adoption and utilisation in Tanzanian healthcare are still in their initial phases, but there are encouraging signs. Tanzania's government and healthcare providers are recognising the potential of artificial intelligence to improve healthcare delivery, and more initiatives are expected to be initiated in the near future.

Tanzania Artificial Intelligence (AI) In Healthcare Market

Market Dynamics

Market Growth Drivers

Tanzania Health Information System (THIS) analyses healthcare data using AI algorithms to recognize patterns and trends, allowing healthcare professionals to make informed choices regarding resource allocation and patient management. Also, The Tanzania Health Research Data Repository employs artificial intelligence to analyse large amounts of health data and identify potential research areas, allowing researchers to make data-driven decisions about their research projects. Tanzania has one medical doctor for every 20,000 people, according to World Health Organization data. Increasing demand for high-quality healthcare services in the country improves the scope of AI Healthcare adoption in Tanzania. Furthermore, the increasing prevalence of chronic diseases such as diabetes and hypertension necessitates the development of more efficient and effective healthcare solutions, which AI can provide.

Market Restraints

One of the most significant challenges is the country's scarcity of skilled AI professionals. The advancement of AI-powered healthcare solutions necessitates expertise in both healthcare and AI, which is in limited supply in Tanzania. Another barrier to AI adoption is a lack of technological resources and infrastructure. Many Tanzanian healthcare providers still use paper-based records, making it difficult to collect and manage the healthcare data required for AI development. Furthermore, the cost of implementing AI solutions can be significant, which may limit their adoption in resource-constrained settings.

Competitive Landscape

Key Players

  • IBM Watson Health
  • GE Healthcare
  • Philips Healthcare
  • NVIDIA
  • Siemens Healthineers
  • Afya Research Africa
  • Sali Labs (TZA)

Notable Insights

In October 2021, In Tanzania, UNESCO held a training on Artificial Intelligence for Disaster Response.

In August 2021, Siemens Healthineers partnered with Pacific Diagnostics in Dar es Salaam, Tanzania to meet the rising healthcare requirement in growing and emerging markets, improving access to healthcare in Tanzania.

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

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

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”.

 

Stage I: Market Data Collection

Primary Interviews: We have developed a network of experts, freelancers, and researchers across countries through which we engage with local experts to gather key data points and assumptions about each market. We also engage regularly with some of the best market research agencies such as Atheneum, GuidePoint, GLG, etc. to conduct surveys and interviews, and build intelligence. We have language translators as a part of our team, who between them can cover 30+ languages allowing us to extract better local insights.

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Data Sources: We have access to multiple highly reliable free and subscription data sources. We have many years of experience to understand which sources are more dependable for what and which to prefer for the reliable and latest information. The key sources of information include the following, but are not limited to:

 

 

Stage II: Market Data Analysis and Statistical Model

Market Trends: We generally look at macro parameters and micro indicators. The macro parameters include changes in government policies, demand and supply of the market, government intervention programs, and major market share. The micro indicators are GDP growth, market size, market volume, etc. We also understand nuances specific to each country like the US, Canada, India, Germany, etc., and have worked across 60+ countries and hence not only understand global trends but how these differ by country, how payment models, market structure, cultural parameters, etc. differ in each country.

Market Sizing and Analysis: Our expert data analytics team has created various market forecast models by employing the top-down approach i.e. starting with the large overall market and segmenting different areas and the bottom-up approach i.e. starting with population and epidemiology and rolling up based on spend, etc., estimating the size of the market, and distributing among the geographic and/or product segments.

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.

Data Triangulation & Validation:

Data triangulation of various sources and results of the research are carried out by benchmarking with reliable sources such as industry statistics, statistical databases, and company-level averages, etc.

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
  • ​Analyzing current needs and determining penetration to estimate the market

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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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This report addresses

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Last updated on: 20 June 2023
Updated by: Riya Doshi

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