Indonesia Artificial Intelligence (AI) in Healthcare Market Analysis

Indonesia Artificial Intelligence (AI) in Healthcare Market Analysis


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Indonesia's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.04 Bn in 2022 to $0.82 Bn by 2030, registering a CAGR of 45.22% during the forecast period of 2022-30. The market will be driven by more investments in AI technology by healthcare providers and a rise in professionals with expertise in the technology. The market is segmented by healthcare components & by healthcare applications. Some of the major players include IBM Watson Health, Philips Healthcare, Alodokter & Asa Ren Pte Ltd.

ID: IN10IDDH003 CATEGORY: Digital Health GEOGRAPHY: Indonesia AUTHOR: Vidhi Upadhyay

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Indonesia Artificial Intelligence (AI) In Healthcare Market Executive Summary

Indonesia's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.04 Bn in 2022 to $0.82 Bn by 2030, registering a CAGR of 45.22% during the forecast period of 2022-30. Healthcare is a major priority in Indonesia, and the central and regional governments are working to construct and upgrade healthcare facilities. In public and private hospitals in Indonesia, there were 1.4 beds per 1,000 people, compared to the global average of 7.3 beds. Furthermore, national healthcare spending as a percentage of GDP remains at 0.9 per cent, far below the average benchmark of 5 per cent. In Indonesia, the most common NCDs (noncommunicable diseases) are hypertension, heart disease, bronchial asthma, chronic renal failure, diabetes, stroke, and cancer.

Mayapada Hospital in Jakarta has incorporated an artificial intelligence (AI) system to analyse medical images and aid in the diagnosis of diseases such as tuberculosis. Another hospital in Surabaya has incorporated an artificial intelligence (AI) system to anticipate patient health outcomes and assist healthcare professionals in developing personalised treatment plans. The adoption and use of AI in healthcare in Indonesia are still in their early stages, but AI has the potential to significantly improve care delivery in the country. As more healthcare professionals invest in AI and more professionals gain expertise in the technology, the use of AI in healthcare in Indonesia is expected to grow over the next few years.

indonesia artificial intelligence in healthcare market

Market Dynamics

Market Growth Drivers

In August 2022, The Indonesia Health Ministry launched the Indonesia Health Services platform in Jakarta, as part of the nation's healthcare technology transformation pillar. With Indonesia's population rapidly growing, there is an increasing need for superior and more personalised healthcare services. The growing use of digital systems such as electronic health records (EHRs) generates an increasing amount of healthcare data that can be processed using AI algorithms. This information can be used to spot patterns and trends, as well as to build predictive models that can help improve patient outcomes. AI technology advancements, such as machine learning and natural language processing, will make it easier for healthcare providers to develop and implement AI systems in their organisations.

Market Restraints

Many Indonesians have no access to healthcare. Indonesia, a country of 17,508 islands, has only 10,205 Community Health Centres (known as puskemas), with only 4,119 offering in-patient services. 15 of Indonesia's 34 provinces continue to provide subpar public services, with less than 70% compliance with national standards. Furthermore, insurance penetration is expected to be around 2% of GDP in 2020. These two situations highlight the low level of healthcare provided throughout Indonesia, as well as the limited availability of medical care, which is impeding the improvement of the quality of healthcare received by Indonesians. According to the Health Ministry, Indonesia still lacks approximately 3,941 Obstetrics and Gynaecology doctors. Unfortunately, approximately 300 pregnant women per 100,000 live births in the country die. Lack of expertise, high cost of AI technology implementation and other regulatory barriers are expected to slow down the adoption of AI in healthcare.

Competitive Landscape

Key Players

  • IBM Watson Health
  • Philips Healthcare
  • GE Healthcare
  • Siemens Healthineers
  • Microsoft Healthcare
  • Amazon Web Services (AWS) Healthcare
  • Google Healthcare
  • NVIDIA Healthcare
  • Prodia Widyahusada (IDN)
  • PJB Digital (IDN)
  • Alodokter (IDN)
  • Asa Ren Pte Ltd (IDN)

Notable Insights

In March 2023, Alni, a chat-based virtual assistant for doctors, has been launched by Alodokter, an Indonesia-based digital health platform. Ali employs conversational AI to prescreen patients via a series of questions and then makes prediagnosis recommendations to Alodokter's telemedicine doctors.

March 2023, Predictmedix Announced the Completion of a 1600-Person Clinical Study in Indonesia for Safe Entry's Medical Device Regulatory Approval

In February 2023, Mayapada Hospital incorporated artificial intelligence to improve Indonesia's healthcare infrastructure.

November 2022, G42 Healthcare, a foremost Abu Dhabi-based AI health-tech company, has entered into an MOU with Indonesia's health tech DNA company, Asa Ren Pte Ltd, as part of its commitment to enhance its clinical genomics functionality and collaborate with global leaders in the domain.

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

Artificial Intelligence (AI) in Healthcare Market Segmentation

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

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”.

 

Stage I: Market Data Collection

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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Data curated from the analysis and interpretation are drawn to portray all in one consolidated report.

Presentation & Reporting: The market research report is presented in different forms such as charts by using a scientific approach for easy understanding. Historic, current, and future analysis is provided for each market in terms of both value and volume. The size of the market is interpreted in the US Dollar value and the respective unit, based on the product, for volume consumption.

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

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Last updated on: 23 June 2023
Updated by: Vidhi Upadhyay

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