Indonesia Bioinformatics Market Analysis

Indonesia Bioinformatics Market Analysis


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The Indonesia Bioinformatics market is projected to grow from $92.1 Mn in 2022 to $308.25 Mn by 2030, registering a CAGR of 16.30% during the forecast period of 2022 - 2030. The main factors driving the growth would be the increasing need for better healthcare, government support, and the rising use of precision medicine. The market is segmented by technology and by application. Some of the major players include Asa Ren Pvt. Ltd. (IDN), Genetika Science (IDN), IBM Life Sciences, QIAGEN, and Agilent Technologies.

ID: IN10IDHS001 CATEGORY: Healthcare Services GEOGRAPHY: Indonesia AUTHOR: Neha Davda

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Indonesia Bioinformatics Market Executive Summary

The Indonesia Bioinformatics market is projected to grow from $92.1 Mn in 2022 to $308.25 Mn by 2030, registering a CAGR of 16.30% during the forecast period of 2022 - 2030. In 2019, national healthcare spending in Indonesia as a percentage of GDP reached 2.9% achieving $120.12 per capita. The total healthcare expenditure per capita in Indonesia is quite low and ahead only of countries with far lower per capita national incomes like Laos, Cambodia, and Myanmar.

Bioinformatics enables researchers to comprehend and spot patterns in biological data by combining computer programming, big data, and molecular biology. Due to its capacity for data organization, it is very helpful to researchers investigating genomes and DNA sequencing. Bioinformatics is one of the most fascinating fields of biology that helps to locate, assess, store, and retrieve biological information. As an interdisciplinary topic of study, it combines numerous applications of Biology, Computer Science, and Statistics to create software applications for comprehending biological data such as DNA sequencing, protein analysis, evolutionary genetics, and others. In Indonesia, the bioinformatics market is a relatively nascent and expanding sector.

indonesia bioinformatics market analysis

Market Dynamics

Market Growth Drivers

The bioinformatics market in Indonesia is expanding for a number of reasons. The nation's growing need for cutting-edge medical research and diagnosis is a significant contributing element. Bioinformatics is evolving into an essential tool for the analysis of vast volumes of genetic and medical data due to the demand for better healthcare services and a continuously expanding population. The government's emphasis on fostering the nation's biotechnology industry is another factor fuelling the expansion of the bioinformatics market. The expansion is also greatly influenced by the rising use of precision medicine.

Market Restraints

Limited infrastructure and the high cost of research and development for bioinformatics is a significant limiting factors as it takes a strong infrastructure for data storage and processing for the bioinformatics market to grow.

Competitive Landscape

Key Players

  • Asa Ren (IDN)
  • Genetika Science (IDN)
  • IBM Life Sciences
  • QIAGEN
  • Agilent Technologies

Healthcare Policies and Regulatory Landscape

The Ministry of Health and Food and Drug Monitoring (BPOM) is the primary regulatory body for the healthcare sector in Indonesia. The Ministry of Health (MOH) is in charge of developing and enforcing laws and regulations pertaining to healthcare services in Indonesia. Further, the National Research and Innovation Agency (BRIN) has been established by the Indonesian government as a cabinet-level organization to coordinate the planning of plans, programs, budgets, and scientific and technical resources in the areas of research, development, studies, and application, among other duties.

Reimbursement Scenario

A new national health insurance program has been launched in Indonesia. The National Health Insurance Program (Jaminan Kesehatan Nasional/JKN), the Healthcare and Social Security Agency (BPJS Kesehatan), and the Indonesian Health Card (Kartu Indonesia Sehat/KIS) have all been improved by the new administration, increasing the scope of the national health insurance program's medical coverage.

1. Executive Summary
1.1 Service Overview
1.2 Global Scenario
1.3 Country Overview
1.4 Healthcare Scenario in Country
1.5 Healthcare Services Market 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 Services
5.3 Reimbursement Process for Treatment

6. Methodology and Scope

Bioinformatics Market Segmentation

By Technology (Revenue, USD Billion):

  • Knowledge Management Tools
  • Bioinformatics Platforms
  • Bioinformatics Services

By Application (Revenue, USD Billion):

  • Metabolomics
  • Molecular phylogenetics
  • Transcriptomics
  • Chemoinformatic & drug design
  • Genomics
  • 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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Last updated on: 23 January 2023
Updated by: Dhruv Joshi

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