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

Saudi Arabia Artificial Intelligence (AI) in Healthcare Market Analysis

$ 3999

Saudi Arabia's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.12 Bn in 2022 to $2.52 Bn by 2030, registering a CAGR of 46.72% during the forecast period of 2022 - 2030. The market will be driven by the growing demand for more cost-effective healthcare solutions and the government's support for the use of artificial intelligence in healthcare. The market is segmented by healthcare components & by healthcare applications. Some of the major players include IBM Watson Health, Google DeepMind Health & Cura.

ID: IN10SADH003 CATEGORY: Digital Health GEOGRAPHY: Saudi Arabia AUTHOR: Vidhi Upadhyay

Buy Now

Saudi Arabia Artificial Intelligence (AI) In Healthcare Market Executive Summary

Saudi Arabia's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.12 Bn in 2022 to $2.52 Bn by 2030, registering a CAGR of 46.72% during the forecast period of 2022 - 2030. Saudi Arabia has the largest healthcare system in the Near East. After education and the military, healthcare is the third largest recipient. Saudi Arabia spends 60% of the Gulf Cooperation Council (GCC) countries' healthcare budgets, and the sector remains a top priority for the Saudi government. NCDs account for 73% of all deaths in Saudi Arabia. Cardiovascular diseases account for 37% of all NCD deaths, with cancer accounting for 10%, diabetes accounting for 3%, respiratory diseases accounting for 3%, and other NCDs accounting for 20%.

Artificial intelligence (AI) has the ability to change Saudi healthcare by enhancing patient experiences, lowering costs, and increasing efficiency. The Saudi Vision 2030, the country's future roadmap, has recognised healthcare among the nation's key development sectors. The government has taken several attempts to promote the use of AI in healthcare, such as the establishment of the Saudi Authority for Data and Artificial Intelligence (SDAIA), which is in charge of developing a national AI strategy and promoting its use in various sectors, including healthcare. Medical imaging, telemedicine, and disease management are three areas where AI is being actively used in healthcare in Saudi Arabia. Saudi Arabia's Ministry of Health had already launched a pilot project to use AI in breast cancer screening. Saudi Arabia's Ministry of Health launched a telemedicine platform in 2020, enabling patients to consult with physicians remotely.

Saudi Arabia Artificial Intelligence (AI) In Healthcare Market

Market Dynamics

Market Growth Drivers

The government's support for the use of artificial intelligence in healthcare is one of the primary growth drivers. The Saudi Authority for Data and Artificial Intelligence (SDAIA) was established, and initiatives such as the breast cancer screening pilot project and the telemedicine platform were launched to promote the use of AI in healthcare. Furthermore, due to an ageing population and an increase in chronic diseases, there is a growing demand for more cost-effective healthcare solutions in Saudi Arabia, which AI can provide.

Market Restraints

Several other factors may impede the growth of AI in healthcare in Saudi Arabia. The absence of the facilities and domain competence needed for deploying AI solutions in healthcare settings is a major impediment. It may involve data privacy and security concerns, as well as the need for specialised hardware and software. Furthermore, cultural barriers to the use of novel technologies in healthcare may exist. The expense associated with implementing AI solutions in healthcare is another constraint. While artificial intelligence has the potential to reduce costs in the long run, there may be significant upfront costs related to setting up new systems and training employees. This may be especially difficult for relatively small healthcare providers with limited resources.

Competitive Landscape

Key Players

IBM Watson Health
Google DeepMind Health
Microsoft Healthcare
Amazon Web Services (AWS) Healthcare
GE Healthcare
NVIDIA Healthcare
Philips Healthcare
Siemens Healthineers
Cognitivescale
Zebra Medical Vision
Cura (SAU)
Sihatech (SAU)

Notable Insights

In December 2022, The Saudi Ministry of Health, represented by Seha Virtual Hospital and the Innovation Empowerment Center, signed a collaboration agreement with information technology firm Alphaiota to develop work in artificial intelligence and data analysis.

In February 2021, The Saudi Data and Artificial Intelligence Authority (SDAIA) collaborated with Royal Philips to help the Kingdom achieve its "goal of becoming a leader in driving artificial intelligence [AI] in healthcare."

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.