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

Tanzania Artificial Intelligence (AI) in Diagnostics Market Analysis

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Tanzania's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $xx Bn in 2022 to $xx Bn by 2030, registering a CAGR of xx% during the forecast period of 2022 - 2030. The market will be driven by supportive outcomes from government initiatives and the rising frequency of chronic illnesses. The market is segmented by component & by diagnosis. Some of the major players include Ada Health, Siemens Healthineers, and Philips Healthcare.

ID: IN10TZDH002 CATEGORY: Digital Health GEOGRAPHY: Tanzania AUTHOR: Vidhi Upadhyay

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Tanzania Artificial Intelligence (AI) in Diagnostics Market Executive Summary

The Tanzania Artificial Intelligence (AI) in the diagnostics market is projected to grow from $xx Bn in 2022 to $xx Bn by 2030, registering a CAGR of xx% during the forecast period of 2022 - 2030. Tanzania's medical system is extremely decentralized, with funding coming from a variety of sources, including general taxes (34%), donor money (36%), out-of-pocket expenditures (22%), and health insurance premiums (8%). More than 26,000 people died from cancer in Tanzania in 2022. When cancer is progressed, more than 90% of patients present to the hospital. Several of these malignancies were avoidable by lifestyle changes, reduced environmental exposure, early screening, diagnosis, and treatment.

The Tanzanian authorities have taken considerable steps to encourage the use of AI-based diagnostics in the community, but there remains a long way to go. The government as well as the business sector must collaborate to solve the barriers to AI diagnostics uptake and application in Tanzania and to establish a conducive climate for its development and expansion. The government, in collaboration with private sector groups, has installed AI-powered diagnostic systems in a few of the country's hospitals and clinics. These instruments are used to detect and treat a variety of medical illnesses, such as TB and malaria.

Market Dynamics

Market Growth Drivers

Tanzania's government established the TAII in 2019 to encourage the development and implementation of AI technology in the country. The Tanzania Health Information Exchange was developed by the government to enable the exchange of health information among the country's healthcare professionals. Furthermore, the rising frequency of chronic illnesses, the growing necessity for more accurate and successful diagnostic tools, and the accessibility of cutting-edge information systems are likely to fuel market growth.

Market Restraints

One of the most significant barriers to AI diagnostics adoption in Tanzania is the unavailability of skilled people who can operate and understand the outcomes of AI-powered diagnostic instruments. Another barrier is a lack of suitable infrastructure, particularly in rural regions, which makes it difficult to deploy and run AI-powered diagnostic tools. There are additional regulatory and legal problems to be resolved before AI diagnostics may be extensively used in Tanzania. The lack of Clear norms and laws controlling the use of AI diagnoses, as well as the acquisition and administration of patient data, are expected to slow down the expansion of the market.

Competitive Landscape

Key Players

IBM Watson Health
Siemens Healthineers
Philips Healthcare
GE Healthcare
Google Health
AliveCor, Inc.
Lunit Inc.
Ada Health

Notable Deals

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.

Healthcare Policies and Regulatory Landscape and Reimbursement Scenario

The Tanzania Food and Drugs Authority (TFDA) is in charge of regulating and certifying medical devices for usage in the country, including AI-powered diagnostic tools. Furthermore, the TFDA is in charge of determining reimbursement rates for medical products and procedures, including AI-based diagnostics. Before a medical device may be licensed for use in Tanzania, the TFDA must first ensure the safety and efficacy of AI-based diagnostic tools. To guarantee that medical products, including AI-based diagnostics, continue to satisfy these requirements, the TFDA evaluates their effectiveness.

To establish reimbursement rates for medical equipment and procedures, involving AI-based diagnostics, the TFDA collaborates with the National Health Insurance Fund (NHIF). The NHIF is a government-funded program that provides Tanzanian people with health insurance. According to a predefined price strategy, the NHIF reimburses health professionals for the costs of medical devices and procedures, including AI-based diagnostics.

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.

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IBM Watson Health, Siemens Healthineers, Philips Healthcare, GE Healthcare, Google Health, AliveCor, Inc., Lunit Inc. & Ada Health are the major players of Artificial Intelligence (AI) in the diagnostics market in Tanzania.

Artificial Intelligence (AI) in the diagnostics market in Tanzania is segmented by component and by diagnosis.

The supportive outcomes from the government initiatives and the rising frequency of chronic illnesses are the major drivers of Artificial Intelligence (AI) in the diagnostics market in Tanzania.