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

Spain Artificial Intelligence (AI) in Medical Imaging Market Analysis

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The Spain Artificial Intelligence (AI) in Medical Imaging market size was valued at $29 Mn in 2022 and is estimated to expand at a compound annual growth rate (CAGR) of 34.4% from 2022 to 2030 and will reach $308 Mn. The market is segmented by AI technology, solution, modality, application, and end User. The Spain Artificial Intelligence (AI) in the Medical Imaging market will grow due to advances in AI and machine learning algorithms that are making it possible to develop more accurate and efficient medical imaging software. Some of the key players in this market are Siemens Healthineers, Philips Healthcare, Agfa-Gevaert Group, Canon Medical Systems, Fujifilm, Samsung Healthcare, Brainlab, IBM Watson Health, Sectra, Arterys, and others.

ID: IN10ESDH023 CATEGORY: Digital Health GEOGRAPHY: Spain AUTHOR: Chandani Patel

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Spain Artificial Intelligence (AI) in Medical Imaging

Market Executive Summary

The AI in medical imaging market in Spain is growing rapidly. Spain is among the top countries in Europe in terms of investment in AI, and the healthcare sector is one of the areas where AI is being increasingly implemented. The use of AI in medical imaging is expected to improve the accuracy and speed of diagnosis, reduce healthcare costs, and ultimately improve patient outcomes.

The market for AI in medical imaging in Spain is being driven by various factors, including the increasing prevalence of chronic diseases such as cancer, the aging population, the need for improved diagnostic accuracy and speed, and the availability of advanced technologies. Additionally, the Spanish government has launched initiatives to promote the use of AI in healthcare, which is expected to further boost the growth of the market.

Several Spanish companies are actively involved in the development and commercialization of AI in medical imaging technologies, including QUIBIM, Niramai, Radiaction, and Aidence. Additionally, several multinational companies have operations in Spain in the same field, including Siemens Healthineers, GE Healthcare, Philips Healthcare, and Fujifilm. AI in the medical imaging market in Spain is expected to continue to grow in the coming years, driven by technological advancements, government initiatives, and increasing demand for improved healthcare outcomes.

spain-AI in medica imaging market

Market Dynamics

Market Growth Drivers

Because of the ageing population, there is a growing need for medical imaging, which is increasing along with the need for healthcare services. AI-based medical imaging has the potential to improve the efficacy and accuracy of medical imaging, which could assist in meeting this rising necessity.

It is now possible to design more accurate and effective medical imaging software because to advancements in AI and machine learning algorithms. This encourages Spain to embrace AI-based medical imaging technology.

AI-based medical imaging has the potential to reduce healthcare costs by improving efficiency and reducing the need for costly therapies. Furthermore, AI-based medical imaging may lead to quicker and more accurate diagnosis, which could lead to better patient outcomes.

Market restraints:

The use of AI-based picture software is governed by stringent laws in Spain. Smaller businesses may struggle to enter the market because of their limited financial resources.

Standards for the creation and application of AI-based medical imaging technology do not yet exist. This may make it challenging to evaluate the efficacy of various treatments and may raise questions about their application. Moreover, privacy and data security issues are brought up by the usage of AI in medical imaging. Out of fear of data breaches or unauthorised use of patient information, people may be reluctant to divulge their medical information.

Competitive Landscape

Key Players

GE Healthcare
Siemens Healthineers
Philips Healthcare
Fujifilm Medical Systems
Canon Medical Systems
Hitachi Healthcare
Carestream Health
Samsung Medison
Hologic

Healthcare Policies and Regulatory Landscape

European Union, which has recently proposed a new regulatory framework for AI that includes medical devices. The proposed regulations are expected to be adopted in the coming years and would apply to all EU member states, including Spain.

In the meantime, medical imaging devices in Spain are regulated by the Spanish Agency for Medicines and Medical Devices (AEMPS) under the Medical Devices Regulation (MDR) and the In-vitro Diagnostic Medical Devices Regulation (IVDR). These regulations ensure that medical devices are safe and effective for patients.

Additionally, there are ethical guidelines that apply to the use of AI in healthcare in Spain. The Spanish Society of Radiology (SERAM) has published a code of ethics for the use of AI in medical imaging, which includes principles such as ensuring patient safety, protecting patient data privacy, and promoting transparency in the use of AI algorithms.

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 Medical Imaging Market Segmentation

By AI Technology

Deep Learning
Natural Language Processing (NLP)
Others

By Solution

Software Tools/ Platform
Services
- Integration
- Deployment

By Modality

When compared to CT scans, magnetic resonance imaging can produce pictures that are free of imperfections. Due to its efficiency in obtaining details and better-quality pictures of soft tissues, the MRI is frequently seen as a superior alternative to X-rays. Utilizing optical coherence tomography, three-dimensional interactions between the retina and membranes are made possible in order to control the vitreoretinal disease.

CT Scan
MRI
X-rays
Ultrasound Imaging
Nuclear Imaging

By Application

The market is dominated by the digital pathology segment, which can be linked to pathologists' rising productivity. A validation tool for image analytics is provided by digital pathology, helping pathologists process more slides in less time. This facilitates early illness identification and quicker therapy initiation. AI and digital pathology also assist doctors in making patient-centered decisions. The oncology market is also expected to grow in popularity as more individuals become aware of cancer and its increased incidence in the public. Personalized therapy is made possible by artificial intelligence algorithms that identify and comprehend the nature of malignancies. The second section focUses on AI-driven diagnostic imaging for the heart, brain, breast, and mouth.

Digital Pathology
Oncology
Cardiovascular
Neurology
Lung (Respiratory System)
Breast (Mammography)
Liver (GI)
Oral Diagnostics
Other

By End Use

The market is dominated by the healthcare sector. This is becaUse hospitals are widely dispersed and accessible; hence, many patients like hospitals. The market for medical imaging AI is also anticipated to benefit from favorable reimbursement regulations. During the anticipated time, diagnostic centers are anticipated to grow in popularity. This may be attributable to elements including rising patient awareness and a desire for diagnostic procedures and tests, all of which are fueling the market's expansion. Due to its ease in providing high-quality medical facilities in remote places, particularly rural ones, the ambulatory category is expected to develop at a quicker CAGR throughout the projection period. The availability of qualified surgeons and a surplAustralia of the necessary equipment are contributing to the expansion of the hospital market. Government assistance in emerging nations is likely to boost hospital infrastructure and technologies throughout the forecast period, which is anticipated to caUse the hospital segment to see growth.

Hospital and Healthcare Providers
Patients
Pharmaceuticals and Biotechnology Companies
Healthcare Payers
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.