Indonesia's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $6.0 Mn in 2022 to $xx Mn by 2030, registering a CAGR of xx% during the forecast period of 2022-2030. The market will be driven by rising privatization in Indonesia and increasing adoption of AI technology in the country. The market is segmented by component & by diagnosis. Some of the major players include IBM Watson Health, Siemens Healthineers & Philips Healthcare.
The Indonesia Artificial Intelligence (AI) in the diagnostics market is projected to grow from $6.0 Mn in 2022 to $xx Mn by 2030, registering a CAGR of xx% during the forecast period of 2022 - 2030. According to the CIA World Factbook, 20.88 million Indonesians will have reached the age of 65 in 2020. By 2025, the elderly would account for 12.5% of the Indonesian population, a 45% increase from 2015. In Indonesia, the most common NCDs (noncommunicable diseases) include hypertension, heart disease, bronchial asthma, chronic kidney failure, diabetes, stroke, and cancer. The most lethal illnesses in 2019 were stroke, ischemic heart disease, and diabetes, all of which increased by double-digit percentages from a decade earlier in 2009.
Tuberculosis (TB) is a major issue in Indonesia, with incidence and mortality rates 100 times greater than in low-burden nations in the area. Researchers from the University of Indonesia and the Bandung Institute of Technology have built an AI system that can accurately identify tuberculosis from chest X-rays. The University of Indonesia has devised an AI system that can diagnose diabetic retinopathy from retinal scans with an accuracy rate of more than 90%. Moreover, the country is also making progressive research in the field of breast cancer detection, and prediction of dengue fever outbreaks by analyzing environmental and climatic data and also during the COVID outbreak to monitor patients remotely.
Market Growth Drivers
In Indonesia, the number of hospitals and clinics is increasing, but consumer expenditure in other sectors is declining. The government supports private sector participation in hospital development. This indicates the demand for advanced medical technology in order to provide high-quality healthcare services. Indonesia implemented local content restrictions in June 2021, prohibiting the import of over 5,400 foreign medical equipment goods in 79 categories from the LKPP e-Katalog public procurement system used by hospitals and clinics. Only locally produced medical equipment certified to have 40% local content will be featured in the e-Catalogue system for those 79 categories.
Market Restraints
Many market constraints may impede the use of Artificial Intelligence (AI) in Diagnostics in Hong Kong. The lack of a legal framework for AI, causes businesses uncertainty and hesitation to employ AI solutions. Data privacy and security concerns make it difficult for healthcare professionals to acquire and evaluate sensitive medical data. Smaller healthcare providers or new competitors to the market may be put off by the high expense of deployment. Lastly, the conventional healthcare business is frequently reluctant to change, and healthcare providers may be unwilling to implement new technology such as AI-based diagnostics.
Key Players
The Indonesian government developed a national AI policy in 2020 with the goal of making Indonesia a worldwide AI center. Initiatives to assist the development of AI technology, notably in the healthcare industry, are part of the plan.
The Ministry of Health is in charge of all reimbursement procedures. As a result, individuals insured by public healthcare insurance may obtain healthcare services without financial difficulty. In essence, public sector hospitals and other public healthcare institutions offer treatments at a reduced or no cost. Hospitals are reimbursed on a fee-for-service basis under private and other public healthcare programs. Discussions between the insurance company and the healthcare provider are crucial in deciding the amount of payment.
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
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The two major drivers of Artificial Intelligence (AI) in the Diagnostics market in Indonesia are:
IBM Watson Health, Siemens Healthineers, Philips Healthcare, GE Healthcare, Google Health, AliveCor, Inc., Riverain Technologies, Ping An Technology, iCarbonX, Niramai & Nalagenetics are the major players of the Artificial Intelligence (AI) in the diagnostics market in Indonesia.
Artificial Intelligence (AI) in the diagnostics market in Indonesia is segmented by component and by diagnosis.
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