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

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 Overview Product Applications and Services Recent Developments Partnerships Ecosystem 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 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

Insights10 will provide you with the reports within 10 key parameters which are:

  1. Market Overview
  2. Market Growth Drivers & Restraints
  3. Epidemiology of Disease Type
  4. Market Segmentation
  5. Market Share
  6. Competitive Landscape
  7. Key Company Profiles
  8. Healthcare Policies & Regulatory Framework
  9. Reimbursement Scenario
  10. Factors Driving Future Growth

Based on our many years of experience, we believe that these are the parameters that are critical to decision-making for business stakeholders. Our focused approach to developing reports focused on 10 key parameters, enabled us to arrive at the name “Insights10”.


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Primary Interviews: We have developed a network of experts, freelancers, and researchers across countries through which we engage with local experts to gather key data points and assumptions about each market. We also engage regularly with some of the best market research agencies such as Atheneum, GuidePoint, GLG, etc. to conduct surveys and interviews, and build intelligence. We have language translators as a part of our team, who between them can cover 30+ languages allowing us to extract better local insights.

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Stage II: Market Data Analysis and Statistical Model

Market Trends: We generally look at macro parameters and micro indicators. The macro parameters include changes in government policies, demand and supply of the market, government intervention programs, and major market share. The micro indicators are GDP growth, market size, market volume, etc. We also understand nuances specific to each country like the US, Canada, India, Germany, etc., and have worked across 60+ countries and hence not only understand global trends but how these differ by country, how payment models, market structure, cultural parameters, etc. differ in each country.

Market Sizing and Analysis: Our expert data analytics team has created various market forecast models by employing the top-down approach i.e. starting with the large overall market and segmenting different areas and the bottom-up approach i.e. starting with population and epidemiology and rolling up based on spend, etc., estimating the size of the market, and distributing among the geographic and/or product segments.

The top-down approach is mainly used for new product forecasting and the bottom-up approach is used for demand estimation of any product for different countries summed up to form the total market. We are able to round off insights and build stronger forecasts because we always do both these methods and triangulate the final numbers.

The study on the market covers the analysis of the leading geographies such as Asia-Pacific, Africa, Europe, Middle East, North America, and  Latin America for the period of 2022 to 2030. The qualitative analysis covers the industry landscape and trends, market opportunities, competitive landscape, and policy and regulatory scenario, and the quantitative analysis covers different market estimates and forecasts.

Data Triangulation & Validation:

Data triangulation of various sources and results of the research are carried out by benchmarking with reliable sources such as industry statistics, statistical databases, and company-level averages, etc.

We make sure to finalize the numbers in alignment with the market research. Firstly, our internal experts ensure thorough validation and checking to ensure accurate and precise analysis and then validation is also done using a multiple-data analysis model. Two-level validation is done and entails the finalization of the report scope and the way of representation pattern.



Stage III: Interpretation and Presentation

Analysis & Interpretation: The information gathered is then analyzed and synthesized. The second series of interviews are done if necessary to check and validate. The future opportunities are analyzed by understanding product commercialization and many other factors. It also comprises the analysis of data discrepancies observed across various data sources. Information procured from secondary and primary results is then, interpreted by considering the following parameters: (a partial list)

  • Establishing market drivers and trends
  • Analyzing the regulatory landscape to understand future growth
  • Market Segment based analysis to obtain revenue/volume
  • ​Analyzing current needs and determining penetration to estimate the market

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The foreign exchange rates are calculated on the respective dates and for the respective regions covered in the study.

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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.

This report addresses

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  • Qualitative, acute and result oriented market analysis
  • Market size and forecasts from 2022 to 2030
  • Opportunities for expansion and in-depth market analysis
  • Segmentation and regional revenue forecasts
  • Analysis of the market share and competitive landscape
  • Strategic Recommendations to chart future course of action
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Last updated on: 18 December 2023
Updated by: Shivam Zalke

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