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

Belgium Artificial Intelligence (AI) in Healthcare Market Analysis

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The Belgium Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.02 Bn in 2022 to $0.3 Bn by 2030, registering a CAGR of 45.22% during the forecast period of 2022 - 2030. The market will be driven by a strong healthcare system, a culture of innovation, and government support for research and development. The market is segmented by healthcare components & by healthcare applications. Some of the major players include IBM Watson Health, OncoDNA & FibriCheck.

ID: IN10BEDH003 CATEGORY: Digital Health GEOGRAPHY: Belgium AUTHOR: Vidhi Upadhyay

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Belgium Artificial Intelligence (AI) In Healthcare Market Executive Summary

The Belgium Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.02 Bn in 2022 to $0.3 Bn by 2030, registering a CAGR of 45.22% during the forecast period of 2022 - 2030. Belgian individuals enjoy excellent health and a prolonged lifespan. This is due in part to the population's easy access to a variety of high-quality health services. The Belgian health system provides a wide range of healthcare services to nearly the entire population. Inhabitants must join a sickness fund of their choice or the public auxiliary fund, and contributions are determined by their income. Belgium is one of the top ten health spenders in the EU, accounting for 10.7% of GDP in 2019. With relatively high healthcare expenditures by the government, out-of-pocket payments by households amounted to 18.2%, primarily for non-reimbursed services. In Belgium, the leading causes of death for men are ischaemic heart disease and lung cancer, while dementia and cerebrovascular disease are the leading causes of death for women. The death rate from mental and neurological diseases is rising.

The University of Liège researchers have created an AI algorithm that can analyse CT scans to detect early signs of lung cancer. In Belgium, AI is also being used in personalised medicine. This method is being used in the treatment of cancer, where AI can assist in determining the best alternative treatments for individual patients based on their unique biological profiles. The government has launched the "AI for Health" programme to support the development of new technologies, including AI, to improve healthcare outcomes. AI adoption and utilisation in healthcare are increasing in Belgium, with many promising developments in the field. Given its strong healthcare sector, the country is well-positioned to remain a leader in the use of AI in healthcare.

Belgium Artificial Intelligence (AI) In Healthcare Market

Market Dynamics

Market Growth Drivers

Belgium has approved the National Convergence Plan for AI Development by the Council of Ministers on October 28, 2022, the main objectives of which revolve around reliable and secure AI, boosting Belgium's competitiveness and attractiveness through artificial intelligence, to create a data-driven economy and efficient infrastructure & to put AI at the heart of health care.

Several factors, including a strong healthcare system, an innovative culture, and government assistance for research and development, are driving the growth of artificial intelligence (AI) in healthcare in Belgium. Belgium's healthcare system is regarded as one of the best in the world, with high levels of healthcare availability and positive health outcomes. Belgium also has a thriving research community that is actively working to develop new AI technologies for healthcare.

Market Restraints

Several challenges may hinder the growth of AI in healthcare in Belgium. Data privacy and security are two major issues. Access to large amounts of patient data is required for the use of AI in healthcare, and it needs to be handled carefully to preserve patient privacy. Another challenge is the need for more knowledge and training for healthcare professionals to use AI tools effectively. AI is a complex technology that must be used with specialised knowledge and skills. Healthcare professionals must be trained to understand how artificial intelligence works and how to incorporate it into their practice. The full potential of AI in healthcare may not be realised unless adequate education and training are provided.

Competitive Landscape

Key Players

IBM Watson Health
Philips Healthcare
GE Healthcare
OncoDNA (BEL)
FibriCheck (BEL)
Novadip Biosciences (BEL)
Byteflies (BEL)
ArtiQ (BEL)
Nischala Tech (BEL)
Clarity Genomics (BEL)

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

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.