Spain Artificial Intelligence (AI) in Diagnostics Market Report 2022 to 2030

Spain Artificial Intelligence (AI) in Diagnostics Market Analysis

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Spain's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $0.02 Bn in 2022 to $0.20 Bn by 2030, registering a CAGR of 34% during the forecast period of 2022-30. The market will be driven by increasing demand for more accurate and efficient diagnostic solutions and positive government initiatives. The market is segmented by component & by diagnosis. Some of the major players include GE Healthcare, IBM Watson Health & QUIBIM.

ID: IN10ESDH002 CATEGORY: Digital Health GEOGRAPHY: Spain AUTHOR: Vidhi Upadhyay

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Spain Artificial Intelligence (AI) in Diagnostics Market Executive Summary

Spain's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $0.02 Bn in 2022 to $0.20 Bn by 2030, registering a CAGR of 34% during the forecast period of 2022-30. The National Health System (Sistema Nacional de Salud; SNS) of Spain is founded on the values of universality, unrestricted access, equity, and financial justice. Even with funding restrictions brought on by the global economic crisis, the healthcare system is nearly universal, serving 99.1% of the population. In Spain, cardiovascular disorders are the leading cause of mortality, accounting for 33.71% of all fatalities. In males, the most common cause is ischemic heart disease (22,923 deaths). In women, the leading cause is cerebrovascular illness (21,927 deaths). Tumors come in second, accounting for 25.9% of all fatalities.

In Spain, artificial intelligence (AI) is becoming increasingly essential in the realm of medical diagnosis. By analyzing massive volumes of patient data and discovering patterns and trends that human doctors may not see, AI has the potential to improve the accuracy and efficiency of medical diagnosis. The use of machine learning algorithms to evaluate medical imaging such as X-rays, CT scans, and MRI scans is one of the most promising uses of AI in diagnostics. These algorithms may be trained to recognize minor patterns and abnormalities, resulting in faster and more accurate diagnoses.

In November 2021, A cooperation between radiologists from three Spanish hospitals and technological partners with expertise in Artificial Intelligence (AI) and information technology (IT) is significantly advancing the use of cutting-edge technologies in healthcare.

spain artificial intelligence in diagnostic market analysis

Market Dynamics

Market Growth Drivers

The Barcelona Supercomputing Center is conducting research to build AI algorithms for medical imaging analysis, while the Spanish National Institute for Cardiovascular Research is utilizing AI to analyze cardiac MRI data to increase the accuracy of heart disease detection.

Artificial Intelligence (AI) in the Diagnostics market in Spain is expanding fast, owing to reasons such as an aging population, an increased burden of chronic illnesses, and a demand for enhanced diagnostic accuracy. In Spain, there is a great number of creative startups and established enterprises, both local and international, creating and deploying AI-based diagnostic solutions. With measures including research and development funding, the construction of a regulatory framework, and investment in digital infrastructure, the Spanish government has actively supported the expansion of AI in diagnostics. They developed a national AI plan in 2019 that includes steps to stimulate the creation and use of AI-based diagnostic solutions in healthcare.

Market Restraints

Concerns have also been raised regarding privacy and the possibility of skewed algorithms. There are continuing conversations and debates in Spain, as in other countries, concerning how to regulate and oversee the use of AI in healthcare to guarantee that technology is utilized ethically and responsibly. Moreover, issues such as regulatory concerns and high acquisition costs can also be an impediment to the growth of the market.

Competitive Landscape

Key Players

GE Healthcare
IBM Watson Health
Siemens Healthineers
Philips Healthcare
AliveCor, Inc.
Riverain Technologies
QUIBIM (ESP)
Savana (ESP)

Healthcare Policies and Regulatory Landscape & Reimbursement Scenario

The Spanish Agency of Pharmaceuticals and Medical Devices (AEMPS) is in charge of regulating medical devices in Spain, including AI-based diagnostic tools. To guarantee that medical devices satisfy European Union (EU) regulatory requirements, the AEMPS collaborates closely with the European Medicines Agency (EMA). AI-based diagnostic technologies are often compensated by Spain's National Health System (SNS) via a procedure known as health technology evaluation (HTA). HTA is a systematic assessment of a technology's clinical, economic, and social consequences that are used to influence choices regarding its adoption and reimbursement. Many criteria influence the reimbursement of AI-based diagnostic tools through HTA in Spain, including the technology's clinical efficacy, cost-effectiveness, and impact on patient outcomes.

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.