Asia Pacific Artificial Intelligence In Healthcare Market Forecast 2020-2028

Asia Pacific Artificial Intelligence In Healthcare Market Forecast 2020-2028

The Asia Pacific artificial intelligence in healthcare market is evaluated to register a CAGR of 41.05% during the forecast period, 2020-2028. The technological advancements, with regard to the artificial intelligence in healthcare, is one of the important drivers of market growth in the region, along with the presence of major countries that contribute to the growth aspects of the region.

The Asia Pacific artificial intelligence in healthcare market growth analysis includes the market evaluation of Indonesia, Vietnam, India, Japan, China, Thailand, Australia & New Zealand, South Korea, and the rest of Asia Pacific. The growing adoption of AI in several medical sectors like diagnostics centers, hospitals, and specialty centers, is contributing to the growth of the market in Japan. Also, the government policies and norms, along with the enhancing focus on artificial intelligence by healthcare departments, are the key factors that further supplement the market growth. There is a need for well-curated and labeled data in South Korea. Further, there is also a need for new healthcare data types, including wearable and genome data, for determining precision medicine using AI methods. With Vietnam embracing the Fourth Industrial Revolution, there have been increasing efforts for the digitalization of hospitals and clinics in the country. Smart solutions that utilize AI, big data, mobile technology, and cloud computing, etc. are being prioritized for alleviating overcrowded public hospitals and increasing the quality of care.

Some of the renowned companies registering their presence in the market include, NVidia Corporation, Intel Corporation, Microsoft Corporation, Next IT Corporation, Oncora Medical, 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 cater 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.
• 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. Development Of Artificial Intelligence In Healthcare
3.2. Market Definition
3.3. Key Drivers
3.3.1. Rise Of Big Data In Healthcare Industry
3.3.2. Emergence Of Personalized Medicine In Tests For Clinical Decision Making
3.3.3. Increasing Use Of Ai In Genetics
3.3.4. Ai Creating A Real-time Monitoring System
3.3.5. Healthcare Wearables Playing An Important Role In Monitoring
3.4. Key Restraints
3.4.1. Slow Adoption Of Ai Based Technologies
3.4.2. Ambiguous Regulatory Guidelines For Medical Software
3.4.3. Challenge To Maintain Data Security
3.4.4. Lack Of Usable Data In Healthcare
4. Key Analytics
4.1. Key Investment Insights
4.2. Porter’s Five Force Analysis
4.2.1. Buyer Power
4.2.2. Supplier Power
4.2.3. Substitution
4.2.4. New Entrants
4.2.5. Industry Rivalry
4.3. Opportunity Matrix
4.4. Vendor Landscape
4.5. Value Chain Analysis
4.5.1. Data Warehouse
4.5.2. Artificial Intelligence (Ai) Analysis
4.5.3. Software Development
4.6. Key Buying Criteria
4.6.1. Application
4.6.2. Technology
4.6.3. Integration With Existing Infrastructure
4.7. Regulatory Framework
5. Market By Offerings
5.1. Hardware
5.2. Software
5.3. Services
6. Market By Technology
6.1. Deep Learning
6.2. Querying Method
6.3. Natural Language Processing
6.4. Context Aware Processing
7. Market By End-user
7.1. Acos And Mcos
7.2. Patients
7.3. Payers
7.4. Pharmaceutical And Biotechnology Companies
7.5. Providers
8. Market By Application
8.1. Real-time Monitoring
8.2. Precision Medicine
8.3. Personal Health And Nursing Assistants
8.4. Drug Development And Discovery
8.5. Robot-assisted Surgery
8.6. Administrative Workflow Assistance
8.7. Clinical Trials
8.8. Diagnostic And Clinical Decision Support
8.9. Others
9. Geographical Analysis
9.1. Asia Pacific
9.1.1. China
9.1.2. Japan
9.1.3. India
9.1.4. South Korea
9.1.5. Indonesia
9.1.6. Thailand
9.1.7. Vietnam
9.1.8. Australia & New Zealand
9.1.9. Rest Of Asia Pacific
10. Company Profiles
10.1. Deep Genomics Inc
10.2. Enlitic Inc
10.3. Ge Healthcare
10.4. General Vision Inc
10.5. Google
10.6. Ibm Corporation
10.7. Icarbonx
10.8. Intel Corporation
10.9. Microsoft Corporation
10.10. Next It Corporation
10.11. Nvidia Corporation
10.12. Oncora Medical
10.13. Recursion Pharmaceuticals Inc
10.14. Stryker Corporation
10.15. Welltok Inc

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