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

Spain Artificial Intelligence (AI) in Healthcare Market Analysis

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Spain's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.13 Bn in 2022 to $2.49 Bn by 2030, registering a CAGR of 44.22% during the forecast period of 2022-2030. The market will be driven by the government's support and increasing industry collaborations. The market is segmented by healthcare components & by healthcare applications. Some of the major players include IBM Watson Health, Methinks & IOMED.

ID: IN10ESDH003 CATEGORY: Digital Health GEOGRAPHY: Spain AUTHOR: Vidhi Upadhyay

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Spain Artificial Intelligence (AI) In Healthcare Market Executive Summary

Spain's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.13 Bn in 2022 to $2.49 Bn by 2030, registering a CAGR of 44.22% during the forecast period of 2022-2030. The World Health Organization ranks Spain's single-payer healthcare system as the ninth best in the world. Spain is a significant market for AI Healthcare, with a population of over 47 million people and the EU's fourth biggest economy. All Spaniards have access to comprehensive medical care. Nowadays, public healthcare facilities account for over 70% of the healthcare industry.

In Spain, where 11% of healthcare practitioners currently utilise AI and another 42% have explicit intentions to deploy AI, demand for AI technologies in healthcare is increasing. Every Spaniard has a health ID that includes a unique personal identity code. With this, one can quickly connect databases and monitor patients across the system. AI-based healthcare solutions are being developed by Spanish universities and research institutes. The Barcelona Supercomputing Center has created AI algorithms for evaluating medical pictures, while the Valencia Institute of Biomechanics is working on AI-powered prosthetic devices. Moreover, The Spanish Ministry of Health has also developed a number of projects to promote the use of artificial intelligence (AI) in healthcare, including the AI Strategy in Health programme and the AI Observatory in Health. The scenario for AI in Healthcare in Spain is still in its early phases, but government initiatives and partnerships between technology companies and healthcare providers are projected to drive growth in the next years.

Spain Artificial Intelligence (AI) In Healthcare Market

Market Dynamics

Market Growth Drivers

In Spain, there are numerous drivers of Artificial Intelligence (AI) in the healthcare market. The growing desire for more efficient and effective healthcare services is one of the primary drivers. With an ageing population and rising healthcare expenses, healthcare providers must develop new ways to give better outcomes while lowering costs. The rising availability of healthcare data is another driver of the AI in Healthcare market in Spain. With the increasing use of electronic health records (EHRs) and the rise of connected medical devices, there is a lot of data available that AI algorithms may use to improve healthcare outcomes. Furthermore, the advancement of big data analytics and cloud computing technology has simplified the collection, storage, and analysis of healthcare data which will lead to positive expansion of the market.

Market Restraints

There are significant barriers to mainstream AI implementation in healthcare in Spain. One of the key issues is the absence of uniformity in healthcare data and processes, which makes developing AI algorithms that can be used by multiple healthcare providers challenging. Furthermore, increased collaboration between healthcare providers and technology businesses is required to develop and deploy AI-based solutions.

Competitive Landscape

Key Players

IBM Watson Health
Google Health
NVIDIA Corporation
GE Healthcare
Philips Healthcare
Siemens Healthineers
Methinks (ESP)
Quibim (ESP)
Savana (ESP)
IOMED (ESP)
MJN Neuroserveis (ESP)

Notable Insights

February 2023, Methinks' "Methinks Stroke Suite medical imaging AI-based software" received CE certification. The Methinks Stroke Suite is claimed to be the first CE-marked medical device that can help find large vascular occlusions (LVO) from non-contrast computed tomography (NCCT) images, both hyperdense and not.

February 2023, The Spanish government has released its 2023 policy agenda, which includes a section explaining the implementation of new health technology assessment (HTA) laws in 2023.

In June 2022, Sanofi announced the official launch of its first Digital Accelerator to support its mission to become a leading digital healthcare organisation. The Accelerator will create products and solutions to serve Sanofi's ambition to improve medical practice via the use of digital, data, and artificial intelligence (AI).

In May 2021, Vodafone Spain, Intel, Cisco, and Gilead collaborated to connect three of Spain's major hospitals to a secure network that would allow AI-based research on COVID-19.

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

Artifical Intelligence (AI) in Healthcare Market Segmentation

The Artificial Intelligence (AI) in Healthcare Market is segmented as mentioned below:

By Healthcare Component (Revenue, USD Billion):

Software Solutions
Hardware
Services

By Healthcare Applications (Revenue, USD Billion):

Robot-Assisted Suregery
Virtual Assistants
Administrative Workflow Assistants
Connected Machines
Diagnosis
Clinical Trials
Fraud Detection
Cybersecurity
Dosage Error Reduction

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.