Malaysia Artificial Intelligence (AI) in Diagnostics Market Analysis

Malaysia Artificial Intelligence (AI) in Diagnostics Market Analysis


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Malaysia's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $1.6 Mn in 2022 to $xx Mn by 2030, registering a CAGR of xx% during the forecast period of 2022-30. The market will be driven by the growing need in the healthcare industry for more precise and effective diagnostics, as well as the nation's expanding incidence of chronic illnesses. The market is segmented by component & by diagnosis. Some of the major players include IBM Watson Health, Siemens Healthineers & AIME Health.

ID: IN10MYDH002 CATEGORY: Digital Health GEOGRAPHY: Malaysia AUTHOR: Vidhi Upadhyay

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Malaysia Artificial Intelligence (AI) in Diagnostics Market Executive Summary

Malaysia's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $1.6 Mn in 2022 to $xx Mn by 2030, registering a CAGR of xx% during the forecast period of 2022-30. Malaysia offers free healthcare to all legal residents and citizens. The system, however, is not based on a nationwide insurance scheme. Instead, through public institutions, the government greatly subsidizes the cost of care. According to the National Heart Institute, the incidence of cardiovascular disease cases in Malaysia rises by 5% per year. In one year, there have been 10,000 occurrences of cardiology and hypertension, as well as 4,000 cases of heart surgery.

One of the most potential uses of AI in diagnostics is AI-based medical imaging. AI technologies are being developed in Malaysia to evaluate medical pictures such as X-rays, CT scans, and MRIs to assist doctors in diagnosing and treating ailments. Artificial intelligence systems are also being developed to detect illnesses like diabetes and cancer. These algorithms may examine data from blood tests and other medical procedures to detect illness early on. In Malaysia, the use of AI in diagnostics is currently in its early stages, but the industry is likely to increase dramatically in the next few years. The Malaysian government has also acknowledged the relevance of AI in healthcare and has established measures to help the country develop AI technology.

Malaysia artificial intelligence in diagnostics market report 2022 to 2030

Market Dynamics

Market Growth Drivers

The Malaysia Digital Economy Corporation (MDEC) has launched several measures to aid in the development of artificial intelligence (AI) in Malaysia, such as the AI for Healthcare Program, which aims to encourage the adoption of AI in healthcare by offering financial support and technical assistance to start-ups. One of the primary factors is the growing need in the healthcare industry for more precise and effective diagnostics, as well as the nation's expanding incidence of chronic illnesses. The government's attempts to assist the advancement and implementation of artificial intelligence (AI) technologies in diagnostics, as well as the rising number of alliances between healthcare organizations and AI technology businesses, are also driving market expansion.

Market Restraints

Malaysia is highly recognized for its healthcare facilities, which can be seen in heavily populated places such as Kuala Lumpur. Rural communities, on the other hand, are not as well-equipped in terms of medical treatment. Major health crises such as drug shortages, and the tobacco bill remained unanswered in 2022, while chronic difficulties such as overburdened emergency rooms, junior doctor bullying, and NCDs remained unaddressed. There are also various other hurdles and restrictions that might impede the expansion of Malaysia's AI diagnostics industry. They include concerns about data privacy and security, as well as the significant expense of integrating AI technology. Moreover, legislative and cultural impediments to the adoption of new technology may exist, slowing market expansion.

Competitive Landscape

Key Players

  • IBM Watson Health
  • Siemens Healthineers
  • Philips Healthcare
  • GE Healthcare
  • Google Health
  • AliveCor, Inc.
  • Riverain Technologies
  • Ping An Technology
  • iCarbonX
  • Niramai
  • Nalagenetics
  • AIME Health (MYS)

Healthcare Policies and Regulatory Landscape and Reimbursement Scenario

The Ministry of Health (MOH) is the body in Malaysia responsible for AI diagnostic policies and reimbursement, as well as for creating healthcare policies and recommendations.

In Malaysia, healthcare services are reimbursed through a combination of governmental and commercial health insurance plans. AI diagnostics may be covered by private health insurance companies in Malaysia, although the level of coverage varies based on the policy and the individual diagnostic procedure. The MOH may potentially give coverage for AI tests, depending on the individual diagnostic procedure and funding availability.

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

Malaysia 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.

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The growing need in the healthcare industry for more precise and effective diagnostics, as well as the nation's expanding incidence of chronic illnesses are the two major drivers of Artificial Intelligence (AI) in the diagnostics market in Malaysia.

IBM Watson Health, Siemens Healthineers, Philips Healthcare, GE Healthcare, Google Health, AliveCor, Inc., Riverain Technologies, Ping An Technology, iCarbonX, Niramai, Nalagenetics & AIME Health are the major players of the Artificial Intelligence (AI) In Diagnostics market in Malaysia.

The Artificial Intelligence (AI) in Diagnostics market in Malaysia is segmented by component and by diagnosis.


Last updated on: 07 August 2024
Updated by: Dr. Purav Gandhi

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