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

Philippines Artificial Intelligence (AI) in Healthcare Market Analysis

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The Philippines Artificial Intelligence (AI) In healthcare market is projected to grow from $0.02 Bn in 2022 to $xx Bn by 2030, registering a CAGR of xx% during the forecast period of 2022-2030. The market will be driven by the rise in investment in healthcare infrastructure, technical expertise, and improvement in regulatory frameworks. The market is segmented by healthcare components & by healthcare applications. Some of the major players include IBM Watson Health, Lifetrack Medical Systems & Zennya.

ID: IN10PHDH003 CATEGORY: Digital Health GEOGRAPHY: Phillipines AUTHOR: Vidhi Upadhyay

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Philippines Artificial Intelligence (AI) In Healthcare Market Executive Summary

The Philippines Artificial Intelligence (AI) In healthcare market is projected to grow from $0.02 Bn in 2022 to $0.31 Bn by 2030, registering a CAGR of 45.72% during the forecast period of 2022-2030. PhilHealth, a government-owned corporation, manages public healthcare in the Philippines. PhilHealth covers a wide range of treatments, including inpatient care and non-emergency surgery. A PhilHealth programme is open to both local citizens and legal residents. Large hospital groups drive hospital development across the country and provide capital for facility upgrades and equipment modernization. The majority of hospitals are located in the Calabarzon region, which has approximately 228 hospitals. After which comes Central Luzon, which has about 196 hospitals. The National Capital Region (Metropolitan Manila) is comprised of sixteen independent cities and one independent municipality, with a total of 186 hospitals.

Artificial Intelligence (AI) adoption and utilisation in healthcare in the Philippines is still in its early stages, but it is expanding gradually. AI-powered healthcare solutions, such as telemedicine platforms, diagnostic tools, and personalised health monitoring systems, are being developed by a number of private companies and startups. The use of AI in healthcare is likely to increase as the government and private sector continue to invest in digital healthcare technologies and regulatory frameworks are established, improving healthcare outcomes for the people of the Philippines.

Philippines Artificial Intelligence (AI) In Healthcare Market

Market Dynamics

Market Growth Drivers

The Philippine Department of Health and the Philippine Health Insurance Corporation (PhilHealth) issued Joint Administrative Order 2021-002, or the Mandatory Adoption and Use of National Health Data Standards for Interoperability, with the goal of establishing national health data standards, developing the Philippine market, and identifying governance implementation for health information technology services. The increasing use of digital technologies in the healthcare sector is one of the main drivers of AI in healthcare in the Philippines. It is being driven by the government's effort for digital transformation as well as the rising demand for healthcare services as the country's population grows. AI technologies such as machine learning, natural language processing, and computer vision can assist healthcare professionals in quickly and accurately analysing vast amounts of data, resulting in more efficient diagnoses and treatment plans.

Market Restraints

There are several impediments to the growth of AI in healthcare in the Philippines. The shortage of resources and technical expertise required to implement AI technologies is one of the major impediments. Many healthcare organisations in the Philippines lack the resources and knowledge required to integrate AI into their existing systems, and there is a qualified professional shortfall in the field of AI.

Competitive Landscape

Key Players

IBM Watson Health
Google Health
Microsoft Healthcare
GE Healthcare
NVIDIA
Philips Healthcare
Zennya (PHL)
Lifetrack Medical Systems (PHL)
Advanced Abilities (PHL)

Notable Insights

In March 2023, AGS Health, a leader in revenue cycle management solutions, announced the establishment of operations in Manilla, Philippines. The expansion will provide AGS Health and its customers with increased access to global talent as a strategic growth partner to more than 100 major healthcare providers across the United States.

In May 2022, Advanced Abilities, a Filipino startup, officially launched Smartscan, an AI-enabled X-ray platform.

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.