Malaysia Mental Health Apps Market Analysis

Malaysia Mental Health Apps Market Analysis


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The Malaysia Mental Health Apps Market was valued at $9.97 Mn in 2023 and is predicted to grow at a CAGR of 15.4% from 2023 to 2030, to $27.17 Mn by 2030. The key drivers of this industry include increasing smartphone penetration, a shortage of professionals, and government support. The industry is primarily dominated by players such as HeadSpace, Calm, Happify, and PlusVibes among others.

ID: IN10MYDH157 CATEGORY: Digital Health GEOGRAPHY: Malaysia AUTHOR: Aashwi Mehta

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Malaysia Mental Health Apps Market Executive Summary

The Malaysia Mental Health Apps Market was valued at $9.97 Mn in 2023 and is predicted to grow at a CAGR of 15.4% from 2023 to 2030, to $27.17 Mn by 2030.

Mental Health Apps are computer, tablet, and smartphone software applications that support and enhance cognitive and emotional health. These can be used alone or in conjunction with more conventional therapies to help people manage mental health conditions like depression, anxiety, insomnia, etc. For example, they can give users access to synchronous or asynchronous mental health professional support via live chat, video, or phone calls. Apps can also be used to promote behavior changes like mindfulness and meditation, which can enhance overall well-being.

A significant global prevalence of mental health disorders exists, with approximately half of the population experiencing at least one disorder by the age of 75. The World Health Organization (WHO) reports that close to 1 Bn individuals worldwide are affected by various mental disorders, primarily anxiety and depressive disorders, which are the most frequently encountered. The market is driven by significant factors like increasing smartphone penetration, a shortage of professionals, and government support. However, limited integration, stigma of mental illness, and data security and privacy restrict the growth and potential of the market.

Prominent players in this field include HeadSpace, Calm, Happify, and PlusVibes among others.

Malaysia Mental Health App Market Report 2023 to 2030

Market Dynamics

Market Growth Drivers

Increasing Smartphone Penetration: The major driver for the mental health app industry is Malaysia's steadily rising smartphone penetration, with a projected estimate of 89.48% in 2025. The increasing number of people using smartphones broadens the pool of possible users for mental health apps, increasing the adoption and usage of mental health assistance by making these digital solutions more widely available.

Shortage of professionals: Malaysia has less than one (0.52) psychiatrist per 100,000 persons. This shortfall in traditional mental health resources creates a significant opportunity for mental health apps to fill the gap by providing accessible, and immediate support for the increasing number of individuals in need.

Government Support: Initiatives such as the National Strategic Plan for Mental Health 2020-2025 in Malaysia drive the mental health app market by promoting digital mental health solutions and increasing public awareness and support for mental health initiatives.

Market Restraints

Limited Integration: The lack of seamless integration between mental health apps and Malaysia's healthcare system hinders comprehensive care experiences. Difficulty in securely sharing data between apps, therapists, and healthcare providers leads to a fragmented approach to mental health, limiting the effectiveness and adoption of mental health apps.

Stigma of mental illness: Because of the cultural stigma associated with mental health problems in Malaysia, people are discouraged from seeking help, which results in conditions like depression and anxiety being undertreated. This serves as a market restraint for mental health apps. The potential user base for mental health applications is decreased by this unwillingness to recognize and treat mental health issues, which hinders the apps' adoption and effectiveness in the area.

Data Security and Privacy: The market for mental health apps is severely constrained by Malaysia’s high levels of concern about privacy protection. The general fear people have about data security and possible hacks prevents a lot of people from using mental health applications, which restricts their use and hinders the market's expansion.

Regulatory Landscape and Reimbursement Scenario

The National Mental Health Strategic Plan 2020-2025 objective is to promote mental health well-being, prevent mental disorders, provide care, enhance recovery, and reduce the mortality, morbidity, and disability for persons with mental health problems. The majority of funding for healthcare services in Malaysia comes from a combination of governmental and private sources. The government provides funding for the public healthcare system, which offers treatments at discounted costs. Public hospitals, clinics, and health facilities are included in this, which is primarily overseen by the Ministry of Health (MOH). Conversely, employer-sponsored health plans, out-of-pocket expenses, and private health insurance pay for the private healthcare sector. There is limited coverage for mental health in Malaysia.

Competitive Landscape

Key Players

Here are some of the major key players in the Malaysia Mental Health App Market:

  • HeadSpace
  • Calm
  • Happify
  • PlusVibes
  • ThoughtfullChat
  • The Help Talk
  • Naluri
  • Intellect
  • Relate
  • SELangkah SEHAT

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 Mental Health App Market Segmentation

By Platform

  • Android
  • iOS
  • Others

By Usage

  • Stress
  • Anxiety
  • Insomnia
  • Meditation
  • Others

By Subscription Model

  • Free apps
  • Freemium apps
  • Paid apps

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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Last updated on: 11 July 2024
Updated by: Anish Swaminathan

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