Portugal Artificial Intelligence in Diagnostics Market Report 2022 to 2030

Portugal Artificial Intelligence (AI) in Diagnostics Market Analysis

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Portugal's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $3.0 Mn in 2022 to $xx Mn by 2030, registering a CAGR of xx% during the forecast period of 2022-30. The market will be driven by improvements in artificial intelligence and machine learning technology along with the rising frequency of chronic illnesses. The market is segmented by component & by diagnosis. Some of the major players include GE Healthcare, IBM Watson Health & Siemens Healthineers.

ID: IN10PTDH002 CATEGORY: Digital Health GEOGRAPHY: Portugal AUTHOR: Vidhi Upadhyay

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Portugal Artificial Intelligence (AI) in Diagnostics Market Executive Summary

Portugal's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $3.0 Mn in 2022 to $xx Mn by 2030, registering a CAGR of xx% during the forecast period of 2022-30. Individuals under the age of 18 and those over the age of 65 are entitled to free healthcare under Portugal's national health system. However, whether it is urgent treatment or falls under particular conditions, state healthcare is accessible via the NHS at a modest rate. With stroke and ischemic heart disease as the primary reasons for mortality and morbidity, lowering the prevalence of atherosclerotic cardiovascular disease (ASCVD) is a key public health objective.

The use of artificial intelligence (AI) in diagnostics is quickly gaining traction in Portugal's Diagnostic sector, with numerous institutions and companies leading the way in the development and deployment of AI-powered solutions. One of the most common uses of AI in diagnostics is in radiography, where algorithms may evaluate medical pictures like X-rays, CT scans, and MRI scans to discover anomalies and help in an illness diagnosis. Some hospitals and clinics in Portugal have begun to use AI-powered medical imaging software to increase diagnostic precision and rapidity. The Centro Hospitalar e Universitário de Coimbra (CHUC) is utilizing artificial intelligence to assist physicians in detecting breast cancer in mammography.

portugal artificial intelligence in diagnostics market analysis

Market Dynamics

Market Growth Drivers

The Portuguese government has collaborated with commercial enterprises to create artificial intelligence-based diagnostic systems. For example, the government announced a collaboration with IBM in 2020 to build an AI-powered diagnostic tool for COVID-19. The government also launched “The AI Portugal 2030 strategy” which seeks to encourage a collaborative process that mobilizes citizens at large, and related stakeholders in specific, towards the development of a knowledge-intensive labor market with a strong community of leading firms manufacturing and exporting AI technologies, supported by research and innovation groups engaged in excellent high-level research. Many more reasons are driving the AI diagnostics market in Portugal, including improvements in artificial intelligence and machine learning technology, the rising frequency of chronic illnesses, and the growing desire for personalized and precise medical diagnosis. Furthermore, the growing use of electronic health records, as well as the accessibility of massive healthcare datasets, have aided in the development of AI-based diagnostic tools in Portugal.

Market Restraints

There are various impediments to the expansion of the AI diagnostics business in Portugal. One of the most significant issues is the scarcity of data and the lack of uniformity in data gathering and administration. Because these algorithms require vast datasets for training and validation, this might impede the development and deployment of AI-based diagnostic systems. Moreover, there may be concerns about data privacy and security, which may result in legal barriers and hinder the adoption of AI-based diagnoses. Another barrier is the expensive cost of establishing and maintaining AI-based diagnostic systems, which may prevent them from being accessible to smaller healthcare providers and underprivileged populations.

Competitive Landscape

Key Players

GE Healthcare
IBM Watson Health
Siemens Healthineers
Philips Healthcare
Google Health
AliveCor, Inc.
Lunit Inc.

Notable Deals

April 2022, Unilabs, Europe's top diagnostic services provider, partnered with GE Healthcare to deliver cutting-edge imaging technology and digital technologies in Portugal.

Healthcare Policies and Regulatory Landscape

The Portuguese Medicine Regulation Authority (Autoridade Nacional do Medicamento e Produtos de Salud, I.P.), henceforth known as "Infarmed," has responsibility for pharmaceuticals, biologicals, and medical devices. Before approving medical devices for sale, the FDA assesses their safety, efficacy, and quality. Infarmed also monitors medical device post-market safety, including AI-based diagnostic tools.

Reimbursement Scenario

In Portugal, the National Health Service (SNS) is in charge of the reimbursement of medical services and goods, including those that employ AI for diagnosis. The medical device reimbursement procedure is complicated and involves several parties, including Infarmed, the Ministry of Health, and the National Council for Reimbursement of Medications. The SNS is also important in defining which medical treatments and goods are covered and at what cost by the Portuguese healthcare system.

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.