Finland AI in Diagnostics Market Analysis Report 2022 to 2030

Finland Artificial Intelligence (AI) in Diagnostics Market Analysis

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Finland's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $2.1 Mn in 2022 to $xx Mn by 2030, registering a CAGR of xx% during the forecast period of 2022-2030. The market will be driven by the rising prevalence of chronic diseases such as cancer, diabetes, and cardiovascular disease and supportive government initiatives. The market is segmented by component & by diagnosis. Some of the major players include IBM Watson Health, Siemens Healthineers & Heart2Save.

ID: IN10FIDH002 CATEGORY: Digital Health GEOGRAPHY: Finland AUTHOR: Vidhi Upadhyay

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Finland Artificial Intelligence (AI) in Diagnostics Market Executive Summary

The Finland Artificial Intelligence (AI) in the diagnostics market is projected to grow from $2.1 Mn in 2022 to $xx Mn by 2030, registering a CAGR of xx% during the forecast period of 2022 - 2030. Nationwide health registries have been maintained in computerized databases since the 1960s. Now, the national digital patient data repository serves both the public and private sectors of healthcare. All citizens have online access to their health information and e-prescription histories, making Finnish healthcare information unique. For many years, the healthcare sector has also gathered blood and tissue samples in biobanks.

In diagnostics, AI is used to analyze patient data. AI algorithms may find trends and forecast patient outcomes by analyzing massive volumes of health information such as electronic health records, laboratory test results, and patient histories. AI algorithms can evaluate medical imaging and help radiologists diagnose illnesses including cancer, cardiovascular disease, and neurological problems. AI can assist healthcare workers in making faster and more accurate diagnoses by automating the interpretation of diagnostic images.

Many enterprises in Finland are developing AI-based diagnostic solutions. Heart2Save is one such startup that has created an AI-powered platform for identifying and monitoring cardiovascular problems. Kaiku Health is another enterprise that has created an AI-powered platform for assessing cancer patients. The platform leverages patient-reported outcomes and other data to give cancer patients individualized diagnosis and assistance. Several Finnish companies are developing AI-based diagnostic tools which already have been adopted in clinical settings.

finland artificial intelligence in diagnostics market analysis

Market Dynamics

Market Growth Drivers

Since 2017, the FinnGen Research Project has been in operation. This project has four main goals: to create medical innovations by combining health central repository and genome data; to assist Finland in becoming a pioneer in biomedicine and personalized healthcare; to develop a model of collaboration between the public and private sectors; and to provide early access to new personalized treatments and health innovations for all Finns. Furthermore, the rising need for accurate and quick diagnostics, as well as the rising prevalence of chronic diseases such as cancer, diabetes, and cardiovascular disease, are driving the market growth.

Market Restraints

One of the most significant difficulties is the absence of medical data standards. Medical data must be organized and standardized before AI can be used successfully in diagnostics, which may be a time-consuming and costly procedure. Furthermore, there are concerns about data privacy and security, which may restrict the use of AI in healthcare.

Competitive Landscape

Key Players

GE Healthcare
IBM Watson Health
Siemens Healthineers
Philips Healthcare
Google Health
AliveCor, Inc.
Lunit Inc.
Heart2Save (FIN)
Kaiku Health (FIN)

Notable Deals

In April 2022, Philips established a long-term strategic alliance with Oulu University Hospital in Finland to provide enhanced image-guided specialized care.

Healthcare Policies and Regulatory Landscape

The Finnish Parliament approved the Act on the Secondary Use of Health and Social Data in March 2019, making it simple and effective for both local and international firms to use important information for research and development operations.

Since January 2020, product approvals have been provided by the Finnish Medicines Agency (FIMEA), a centralized entity under the Ministry of Social Affairs and Health.

Reimbursement Scenario

All residents and citizens who reside in the nation have access to universal coverage, which includes a wide variety of comprehensive health care offered mostly by government-owned and managed providers.

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.