Netherlands's Artificial Intelligence (AI) In healthcare market is projected to grow from $0.02 Bn in 2022 to $0.36 Bn by 2030, registering a CAGR of 45.72% during the forecast period of 2022 - 2030. The market will be driven by the country’s strong healthcare system, a culture of innovation and collaboration, and government assistance for research and development. The market is segmented by healthcare components & by healthcare applications. Some of the major players include Philips Healthcare, Aidence & Quantib.
Netherlands's Artificial Intelligence (AI) In healthcare market is projected to grow from $0.02 Bn in 2022 to $0.36 Bn by 2030, registering a CAGR of 45.72% during the forecast period of 2022-30. When it comes to healthcare, the Netherlands ranks among the top-performing countries in the world. The country's healthcare system is ranked second among 11 high-income countries by the Commonwealth Fund. The Dutch government is responsible for the Netherlands Healthcare System, which has been reviewed and improved several times since the mid-twentieth century. Neoplasms, circulatory system diseases, and mental and behavioural disorders were the leading causes of death.
Researchers at Nijmegen's Radboud University Medical Center created an AI algorithm that can analyse MRI scans of the brain and anticipate which individuals have a likelihood of developing Alzheimer's disease. In the Netherlands, artificial intelligence is being used in personalised medicine. To identify personalised treatment options, AI algorithms can analyse patient data such as genetic factors and medical history. The government has launched a programme called "ZorgTech" to encourage the development of new technologies, such as artificial intelligence (AI), to improve healthcare outcomes. The programme funds research and development projects that use artificial intelligence and other technologies to improve patient care. AI adoption and utilisation in healthcare are increasing in the Netherlands, with many good potential developments in the field. a number of obstacles to overcome, the Netherlands is well-positioned to remain a leader in the use of artificial intelligence in healthcare.
Market Growth Drivers
The government established the "ZorgTech" programme to aid in the development of new technologies such as AI. In addition, the Dutch Data Protection Authority issued guidelines for the use of AI in healthcare, highlighting the significance of informed consent and data security. Several other factors are driving the growth of artificial intelligence (AI) in healthcare in the Netherlands, including a strong healthcare system, a culture of innovation and collaboration, and government assistance for research and development. The country's emphasis on personalised medicine, as well as its use of electronic health records, provides a great deal of information for training AI algorithms and improving patient outcomes. Furthermore, the COVID-19 pandemic has hastened AI adoption in healthcare, with the technology being used to develop vaccines, predict outbreaks, and diagnose the disease.
Market Restraints
Concerns about data privacy and security, regulatory barriers, and the need for more knowledge and training for healthcare professionals to effectively use AI tools are all potential barriers to the growth of AI in healthcare in the Netherlands. Addressing these issues is critical to realising AI's full potential in healthcare in the Netherlands.
Key Players
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
The Artificial Intelligence (AI) in Healthcare Market is segmented as mentioned below:
By Healthcare Component (Revenue, USD Billion):
By Healthcare Applications (Revenue, USD Billion):
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.
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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:
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:
2. Primary Research
To complement and validate our secondary data, we engage in primary research through local tie-ups and partnerships. This process involves:
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:
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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