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

Nigeria Artificial Intelligence (AI) in Healthcare Market Analysis

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Nigeria's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.01 Bn in 2022 to $0.13 Bn by 2030, registering a CAGR of 46.22% during the forecast period of 2022 - 2030. The market will be driven by the increasing availability of AI-based solutions and the growing investment by the government and private companies in the development of AI in healthcare. The market is segmented by healthcare components & by healthcare applications. Some of the major players include IBM Watson Health, Wellvis & Reliance Health.

ID: IN10NGDH003 CATEGORY: Digital Health GEOGRAPHY: Nigeria AUTHOR: Vidhi Upadhyay

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Nigeria Artificial Intelligence (AI) In Healthcare Market Executive Summary

Nigeria's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.01 Bn in 2022 to $0.13 Bn by 2030, registering a CAGR of 46.22% during the forecast period of 2022 - 2030. According to the Nigeria Health Facility Registry (NHFR), Nigeria has 39,914 operational hospitals and clinics. According to the nominal facility data, Lagos, Katsina, and Benue are the top three states in the country with the most health facilities. Nigeria has an average of 17 hospitals per 100,000 people, combining private and public hospitals at the primary, secondary, and tertiary levels of care. Cardiovascular disease is Nigeria's most common cause of death. According to medical experts in Nigeria. Furthermore, a lack of access to healthcare is a major contributor to the country's high maternal, infant, and under-five mortality rates.

With its large population and substantial disease burden, Nigeria presents an enormous chance for AI in healthcare. Several Nigerian healthcare institutions have begun to implement AI-based solutions to improve healthcare delivery. The Lagos University Teaching Hospital has created an AI-powered system for diagnosing breast cancer. The system analyses mammograms using machine learning algorithms to detect early signs of breast cancer. Wellvis, a Nigerian startup, created an AI-powered telemedicine platform. The platform allows patients to consult with healthcare providers remotely, increasing access to healthcare services, particularly in rural areas with inadequate healthcare infrastructure. The increasing availability of AI-based solutions, as well as increased government and private sector investment in the advancement of artificial intelligence in healthcare, are projected to propel AI adoption in Nigeria in the coming years.

Nigeria Artificial Intelligence (AI) In Healthcare Market Report 2022 to 2030

Market Dynamics

Market Growth Drivers

Nigeria has witnessed an increase in government and private sector investment in the development of AI-based healthcare solutions. The Nigerian Communications Commission (NCC) has launched a research grant programme to encourage the development of innovative and relevant technologies, such as artificial intelligence (AI) in healthcare. Furthermore, the country's healthcare challenges, such as a lack of medical infrastructure, a shortage of healthcare providers, and a high burden of disease, are becoming more severe. AI technologies in healthcare can help improve access to care, reduce medical errors, and enable personalised medicine leading to market expansion in the country.

Market Restraints

There are some constraints that must be overcome. One of the most significant challenges is a lack of adequate medical infrastructure, particularly in rural areas with few healthcare options. Another issue is that patients and healthcare workers have low digital literacy, which may limit the adoption of AI-based solutions. Because the use of AI involves the storage and processing of sensitive patient information, the issue of data privacy and security is also a significant constraint. Furthermore, the need for more robust regulatory frameworks for AI in healthcare is a significant challenge to ensure the safe and effective use of AI technologies in Nigeria.

Competitive Landscape

Key Players

IBM Watson Health
GE Healthcare
Siemens Healthineers
Philips Healthcare
Qure.ai
Wellvis (NGA)
Reliance Health (NGA)
54gene (NGA)

Notable Insights

August 2022, The Xair ultra-portable handheld, battery-powered X-ray machine from Fujifilm will be used in conjunction with Qure.ai's AI-enabled Chest X-ray solution to screen for presumptive tuberculosis cases in rural Nigerian communities.

February 2022, Reliance Health, a Nigerian firm, has recently secured one of the largest funding rounds for an African health tech venture to date. Reliance Health, a digital health insurance company that uses technology and data science to reshape all aspects of the health insurance experience, such as purchasing premiums and accessing care, raised $40 Mn (€35 Mn) in Series B funding.

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

Nigeria Artificial 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.