Asia-pacific Data Exchange In Healthcare Market Forecast 2022-2030
KEY FINDINGS
The Asia-Pacific data exchange in healthcare market is projected to rise with a CAGR of 25.83% over the forecast years of 2022 to 2030. The market growth of the region is augmented by the increasing information technology (IT) skills, as well as outsourcing trends, the digitalization of the healthcare industry, and the surging adoption of cutting-edge digital solutions.
MARKET INSIGHTS
The Asia-Pacific data exchange in healthcare market growth assessment covers the analysis of South Korea, Indonesia, Thailand, Vietnam, China, Japan, India, Australia & New Zealand, and Rest of Asia-Pacific. The COVID-19 pandemic has been a catalyst in terms of fueling the adoption of digitization in India’s healthcare industry. Moreover, telemedicine has become a mainstay, as well. The two other areas representing the advent of digitization in the country include the self-assessment of the novel coronavirus symptoms through Arogya Setu, a mobile application launched by the Indian government, as well as the development of solutions to support patients, provide alerts, and monitor vitals.
On the other hand, as per industry statistics, the South Korean healthcare system sustains a population of 51.5 million via a publicly funded national healthcare insurance system predominantly delivered through private healthcare providers. The Ministry of Health and Welfare and the Korea Centers for Disease Control and Prevention manage medical data use systems in South Korea for various purposes. These include early disease detection and the improvement of national medical safety. As a result, these factors are anticipated to augment the Asia-Pacific data exchange in healthcare market growth over the estimated period.
COMPETITIVE INSIGHTS
Eminent companies operating in the market include Longenesis, Snowflake Inc, Amazon Web Services Inc (AWS), etc.
Our report offerings include:
• Explore key findings of the overall market
• Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
• Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
• Market Segmentation caters to a thorough assessment of key segments with their market estimations
• Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
• Key analytics: Porter’s Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
• The competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
• Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments
- 1. Research Scope & Methodology
- 1.1. Study Objectives
- 1.2. Scope Of Study
- 1.3. Methodology
- 1.4. Assumptions & Limitations
- 2. Executive Summary
- 2.1. Market Size & Estimates
- 2.2. Market Overview
- 3. Market Dynamics
- 3.1. Key Drivers
- 3.1.1. Benefits Of Data Sharing And Monetization
- 3.1.2. Emergence Of Data-driven Social Partnerships
- 3.1.3. Increasing Digitization Of Healthcare Data
- 3.2. Key Restraints
- 3.2.1. Non-standard And Strict Data Protection Laws & Regulations
- 3.2.2. Security Concerns Related To Sensitive Medical Data
- 3.2.3. Lack Of Skilled And Expert Staff
- 3.2.4. Inadequate Infrastructure To Support Data Sharing
- 4. Key Analytics
- 4.1. Impact Of Covid-19 On The Data Exchange In Healthcare Market
- 4.2. Key Market Trends
- 4.3. Porter’s Five Forces Analysis
- 4.3.1. Buyers Power
- 4.3.2. Suppliers Power
- 4.3.3. Substitution
- 4.3.4. New Entrants
- 4.3.5. Industry Rivalry
- 4.4. Opportunity Matrix
- 4.5. Vendor Landscape
- 4.6. Regulatory Framework
- 5. Market By Setup
- 5.1. Public
- 5.2. Private
- 6. Market By Type
- 6.1. Biotech
- 6.2. Pharma
- 6.3. Provider
- 6.4. Payer
- 6.5. Other Types
- 7. Market By Implementation Model
- 7.1. Hybrid
- 7.2. Centralized
- 7.3. Decentralized
- 8. Market By Deployment
- 8.1. On-premise
- 8.2. Cloud-based
- 9. Geographical Analysis
- 9.1. Asia-pacific
- 9.1.1. Market Size & Estimates
- 9.1.2. Key Growth Enablers
- 9.1.3. Key Challenges
- 9.1.4. Key Players
- 9.1.5. Country Analysis
- 9.1.5.1. China
- 9.1.5.2. Japan
- 9.1.5.3. India
- 9.1.5.4. South Korea
- 9.1.5.5. Indonesia
- 9.1.5.6. Thailand
- 9.1.5.7. Vietnam
- 9.1.5.8. Australia & New Zealand
- 9.1.5.9. Rest Of Asia-pacific
- 10. Competitive Landscape
- 10.1. Key Strategic Developments
- 10.1.1. Mergers & Acquisitions
- 10.1.2. Product Launches & Developments
- 10.1.3. Partnerships & Agreements
- 10.1.4. Investments & Expansions
- 10.2. Company Profiles
- 10.2.1. Amazon Web Services Inc (Aws)
- 10.2.2. Burstiq Llc
- 10.2.3. Cloudera Inc
- 10.2.4. Cloudtag Inc
- 10.2.5. Cloudticity
- 10.2.6. Datavant
- 10.2.7. Definitive Healthcare Corp
- 10.2.8. H1 Inc
- 10.2.9. Healthverity
- 10.2.10. Longenesis
- 10.2.11. Mckesson Corporation
- 10.2.12. Medicalchain Sa
- 10.2.13. Optum Inc
- 10.2.14. Siemens Healthineers
- 10.2.15. Snowflake Inc
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