Denmark AI in Diagnostics Market Analysis Report 2022 to 2030

Denmark Artificial Intelligence (AI) in Diagnostics Market Analysis

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Denmark'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 the rising incidence of chronic diseases such as cancer, diabetes, and cardiovascular diseases and public-private partnership intending to develop and apply AI solutions. The market is segmented by component & by diagnosis. Some of the major players include GE Healthcare, IBM Watson Health & Visiopharm.

ID: IN10DKDH002 CATEGORY: Digital Health GEOGRAPHY: Denmark AUTHOR: Vidhi Upadhyay

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Denmark Artificial Intelligence (AI) in Diagnostics Market Executive Summary

Denmark'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. In Denmark, there are three administration and political levels in the healthcare sector: the national government, the regions, and the municipalities. Denmark is organized into five regions and 98 municipalities, each of which has at least 20,000 residents. Diabetes, cancer, cardiovascular disease, central nervous system illnesses, inflammatory diseases, and allergies are among the areas in which Denmark excels. The Danish medical technology industry has expanded fast in recent years and is expected to develop at a rate of 4-6 % each year.

AI algorithms are being used to evaluate medical pictures such as X-rays, CT scans, and MRI scans in order to assist radiologists in properly detecting illnesses. Some Danish hospitals use AI-powered systems to diagnose lung cancer, brain tumors, and heart disorders. Visiopharm, a Danish firm, has created an AI-powered digital pathology solution capable of analyzing tissue samples and providing diagnostic insights. Blueprint Genomics, a Danish firm, has created an AI-powered platform that can evaluate genetic data and deliver clinical interpretations to healthcare providers.

Market Dynamics

Market Growth Drivers

The Innovation Fund Denmark has granted funds for initiatives involving artificial intelligence in healthcare, particularly diagnostics. The Danish government has devised a national AI plan, with an emphasis on healthcare. The approach is to encourage the use of artificial intelligence (AI) in healthcare in order to enhance patient outcomes, boost efficiency, and reduce costs. The Danish Centre for Artificial Intelligence in Healthcare (DCAIH) is a public-private partnership that intends to develop and apply AI solutions in healthcare. Moreover, the rising incidence of chronic diseases in the country, such as cancer, diabetes, and cardiovascular diseases is leading to the growing demand for personalized medicine.

Market Restraints

The high expense of creating and adopting AI-powered imaging techniques is one of the major factors limiting the adoption of AI Diagnostics. These tools necessitate considerable investment in R&D as well as the infrastructure and technology required to support them. Another impediment is the possibility of ethical and legal difficulties with the use of AI in Diagnostics. Challenges concerning data privacy and security as well as bias and discrimination in AI systems may arise.

Competitive Landscape

Key Players

GE Healthcare
IBM Watson Health
Siemens Healthineers
Philips Healthcare
Google Health
AliveCor, Inc.
Lunit Inc.
Visiopharm (DNK)
Cortrium (DNK)

Notable Deals

In September 2022, Deep Bio announced a collaboration with Visiopharm, a Danish pharmaceutical business, to provide DeepDx Prostate, their deep learning-based prostate cancer pathology image analysis software.

Healthcare Policies and Regulatory Landscape

The Danish Ministry of Health is in charge of developing the integrative framework for the country's healthcare system. The Danish Medicines Agency (DKMA), a governmental entity under the Ministry of Health, is the Danish authority in charge of medical device monitoring. The Danish Act on Medical Devices is the primary regulatory framework for medical device authorization, pricing, and reimbursement. Denmark is obligated to observe the union standards regulating the authorization of pharmaceutical items and medical devices as an EU member state.

Reimbursement Scenario

Denmark has a national healthcare system built on the values of free and equitable healthcare access for all residents. The system is primarily supported by Danish taxpayers through a system of governmental block grants, reimbursements, and equalization programs.

The Danish Ministry of Health is in charge of the overarching structure of the healthcare system at the national level. At the regional level, five regions overseen by Denmark's regional councils are in charge of hospitals and health care supplied by general practitioners and specialists in private practices. Local health and senior care services are provided by 98 towns in Denmark, including illness prevention, home nursing, school health services, children's dental treatment, and nursing homes.

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.