Ireland Artificial Intelligence in Diagnostics Market Report 2022 to 2030

Ireland Artificial Intelligence (AI) in Diagnostics Market Analysis

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Ireland'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 2022-30. The market will be driven by via rise in the financing, collaborations, supportive regulatory frameworks, and the availability of large amounts of medical data. The market is segmented by component & by diagnosis. Some of the major players include GE Healthcare, IBM Watson Health & Deciphex.

ID: IN10IEDH002 CATEGORY: Digital Health GEOGRAPHY: Ireland AUTHOR: Vidhi Upadhyay

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Ireland Artificial Intelligence (AI) in Diagnostics Market Executive Summary

Ireland'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 2022-30. Ireland offers a dual healthcare system that includes both private and governmental choices. Ireland's publicly funded healthcare system is governed by a single government agency, the Health Service Executive (HSE). The health budget for Ireland in 2022 is $ 22.29 billion. Cancer and circulatory illnesses continue to be the primary causes of mortality, accounting for more than 30% of all fatalities. In Ireland, behavioral risk factors are a significant contributory factor to mortality.

Artificial intelligence (AI) is rapidly being used in diagnostics in Ireland, with a rising number of healthcare facilities investigating its potential to increase diagnostic precision and effectiveness. One use of AI is in medical imaging, such as X-rays, CT scans, and MRI scans. These data may be analyzed by AI algorithms to find abnormalities or trends that may be symptomatic of a certain sickness or condition. This can assist radiologists in making more accurate diagnoses and lowering the likelihood of mistakes. Another use of AI is pathology, where it can examine tissue samples to detect malignant cells or other abnormalities.

In January 2023, Siemens established a Center of Excellence for immunoassay instrument research and development. The new Institute shall focus on identifying and exploiting breakthrough improvements in laboratory devices used to diagnose infectious illnesses, cancer, and blood ailments. The Irish Government is funding this initiative through IDA Ireland. In March 2022, A new AI collaboration between Irish health tech start-up xWave Technologies and CeADAR, Ireland's hub for applied AI research, was unveiled to enable medical testing more accurate and individualized.

Market Dynamics

Market Growth Drivers

Ireland has a large collection of healthcare data that may be used to train and develop AI systems. AI's fast technical growth is resulting in more advanced algorithms and more dependable outcomes, making AI a more appealing alternative for diagnostics. Furthermore, via financing, collaborations, and regulatory frameworks, the Irish government and businesses are actively promoting the expansion of AI in diagnostics. Another element impacting market expansion is the increased need for precise and rapid diagnostics.

Market Restraints

While Ireland has a plethora of healthcare data, accessing and sharing this data remains difficult due to privacy concerns and regulatory constraints. Clear regulatory frameworks are yet required to assure the security and efficiency of these instruments. Creating AI-powered diagnostic tools may be costly, and smaller businesses may struggle to obtain the required funding. Because of concerns about job displacement and the need for retraining, some healthcare professionals may be hesitant to employ AI-powered diagnostic tools. Some of the mentioned challenges may impede the country's full-fledged adoption of AI.

Competitive Landscape

Key Players

GE Healthcare
IBM Watson Health
Siemens Healthineers
Philips Healthcare
Google Health
AliveCor, Inc.
Lunit Inc.
kheiron Medical Technologies
Qure.ai
Deciphex (IRL)
MEDTRAC (IRL)

Notable Deals

In September 2022, Deciphex, a digital pathology software and service company located in Dublin, Ireland, announced the debut of its Diagnexia service in the United States
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 Health Products Regulatory Authority (HPRA) is Ireland's regulating authority for medicines, biologicals, and medical devices. The HPRA is a government entity tasked with safeguarding and improving public health through the regulation of medications, medical devices, and other health items, as well as cosmetics.

The National Standards Authority of Ireland (NSAI) is an Irish-recognized entity that the HPRA has appointed to carry out conformity assessment processes to guarantee compliance with applicable medical device laws.

Reimbursement Scenario

The Health Services Executive (HSE) in Ireland is legally responsible for drug and medical device price and reimbursement. HSE must keep an inventory of reimbursable items (the Reimbursement List), and suppliers must follow a defined application process for most products to be listed on the Reimbursement List. Ireland lacks a specific clearance mechanism for reimbursements for high-tech equipment.

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.