India artificial intelligence in healthcare market likely to growing due to the rising usages of AI for the improving quality of patient care and providing virtual assistants & help in surgeries
India's artificial intelligence in the healthcare market likely to grow with a significant rate over the forecast periods, 2020-2027. The key factors are the rising applications of AI to enhance patient care, a strong imbalance between the pool of healthcare professionals and patients, and the possibilities of reducing medical costs. Additionally, the growing usage of AI for lowering healthcare costs, rising adoption of precision medicine, the increasing importance of big data in healthcare, and declining hardware costs will augment the growth of the market. Rapid advancements in medical imaging technology, coupled with the analytics and machine learning capabilities of AI, have led to extraordinary progress in the ability of India's healthcare professionals to diagnose severe conditions quickly. India's Central Bureau of Health Intelligence reports that the infant mortality rate has more than halved over the last two decades, from 74 per 1,000 live births in 1994 to 34 in 2016, is still the worst-ranked among developed nations. These factors provide an opportunity to use AI for stratifying maternal risk in India's artificial intelligence in the healthcare industry.
Moreover, the surge in the application of AI to solve critical problems such as reducing error and time costs in the drug discovery process and improving the accuracy of diagnosis with medical imaging and diagnostic procedures are estimated to foster the growth of India artificial intelligence in the healthcare market size. In India, nearly three million heart attacks happen every year, and 30 million Indians suffer from coronary diseases. Further, the upsurge in AI applications to helping doctors for analysing a much broader scope of data and prediction with greater granularity and help in new drug combinations for a patient's specific need will drive the growth of the market in the upcoming periods
Offering Overview in the India Artificial intelligence in Healthcare Market
Based on the offering, India artificial intelligence in the healthcare market classified into Hardware, Software, and Services. The Software will be the fastest-growing segment in the forecast period. It is attributable to Software that is developed on the base of machine learning, natural language processing, and deep learning for healthcare services to users such as hospitals and providers, patients, pharmaceutical and biotechnology companies, healthcare payers.
Technology Overview in the India Artificial intelligence in Healthcare Market
Based on the technology, India artificial intelligence in the healthcare market segregated into machine learning, natural language processing, context-aware computing, computer vision, and querying method. The machine learning is expected to hold the largest market share during the forecast period. It is due to the growing usage of signal reduction, data mining, and image recognition, which are integral components part of AI.
Applications Overview in the India Artificial intelligence in Healthcare Market
Based on application, the India Artificial Intelligence in Healthcare market segmented into patient data and risk analysis, in-patient care & hospital management, medical imaging & diagnostics, lifestyle management & monitoring, virtual assistant, drug discovery, research, healthcare assistance robots, precision medicine, emergency room & robot-assisted surgery, clinical trial participant identifier, and others. The medical imaging & diagnostics will be the fast-growing segment of India Artificial Intelligence in the Healthcare market. It is attributable to AI used to analyze increasingly sophisticated magnetic resonance imaging (MRI), computed tomography (CT) scans, and other medical images to diagnose fractures, cancers, strokes, and many other conditions.
End-User Overview in the India Artificial intelligence in Healthcare Market
Based on the end-user, India artificial intelligence in the healthcare market segmented into hospitals and providers, patients, pharmaceutical and biotechnology companies, healthcare payers, and others. The hospitals and providers segment estimated to dominate artificial intelligence in the healthcare market by 2027. It is due to the impact of AI from medical imaging analysis to assisted clinical decision-making, from hospital treatment workflow management to health management outside hospitals, and from empowering doctors to empowering pharmaceutical companies. AI developments make high-quality medical resources more accessible, increase resource-sharing, and improve the efficiency of diagnosis and treatments.
Regional Overview in the India Artificial intelligence in Healthcare Market
Based on geography, India artificial intelligence in the healthcare market segmented into North India, South India, West India, and East India. North India generated the largest revenue in 2019, owing to the maximum demand potential of AI in these regions as the huge growing populations of elderly people, its vast inequalities in healthcare distribution, and blatant lack of trained healthcare clinicians and infrastructure.
India Artificial intelligence in Healthcare Market: Competitive Landscape
Companies such as Intel, NVIDIA, Siemens Healthineers, Medtronic, Micron Technology, IBM, Microsoft, Google Inc, Amazon Web Services, CloudMedx, Sigtuple, ChironX, Niramai Health Analytix, Qure.ai, Predible Health, Artivatic. LiveHealth, Artelus, Tricog, and OnliDoc are the key players in India's artificial intelligence in the healthcare market.
India Artificial Intelligence in Healthcare Market
Report Content
1. Research Strategic Development
1.1. Market Modelling
1.2. Product Analysis
1.3. Market Trend and Economic Factors Analysis
1.4. Market Segmental Analysis
1.5. Geographical Mapping
1.6. Country Wise Segregation
2. Research Methodology
2.1. Identification of Target Market
2.2. Data Acquisition
2.3. Refining of Data/ Data Transformations
2.4. Data Validation through Primary Techniques
2.5. Exploratory Data Analysis
2.6. Graphical Techniques/Analysis
2.7. Quantitative Techniques/Analysis
2.8. Visual Result/Presentation
3. Executive Summary
4. Market Insights
4.1. Economic Factor Analysis
4.1.1. Drivers
4.1.2. Trends
4.1.3. Opportunities
4.1.4. Challenges
4.2. Technological Landscape
4.3. Competitors & Product Analysis
4.4. Price-Point Analysis
4.5. Regulatory Framework
4.6. Company market share analysis, 2019
4.7. Porter's Five forces analysis
4.8. New Investment Analysis
4.9. PESTEL Analysis
4.10. Economic Impact Study on India Artificial Intelligence in Healthcare Market
5. India Artificial Intelligence in Healthcare Market Overview
5.1. Market Size & Forecast, 2016-2027
5.1.1. Demand
5.1.1.1. By Value (USD Million)
5.2. Market Share & Forecast, 2016-2027
5.2.1. By Offering
5.2.1.1. Hardware
5.2.1.2. Software
5.2.1.3. Services
5.2.2. By Technology
5.2.2.1. Machine Learning
5.2.2.2. Natural Language Processing
5.2.2.3. Context-Aware Computing
5.2.2.4. Computer Vision
5.2.2.5. Querying Method
5.2.3. By Application
5.2.3.1. Patient Data and Risk Analysis
5.2.3.2. Inpatient Care & Hospital Management
5.2.3.3. Medical Imaging & Diagnostics
5.2.3.4. Lifestyle Management & Monitoring
5.2.3.5. Virtual Assistant
5.2.3.6. Drug Discovery, Research
5.2.3.7. Healthcare Assistance Robots
5.2.3.8. Precision Medicine
5.2.3.9. Emergency Room & Robot-Assisted Surgery
5.2.3.10. Clinical Trial Participant Identifier
5.2.3.11. Others
5.2.4. By End-User
5.2.4.1. Hospitals and Providers
5.2.4.2. Patients
5.2.4.3. Pharmaceutical and Biotechnology Companies
5.2.4.4. Healthcare Payers
5.2.4.5. Others
5.2.5. By Region
5.2.5.1. North India
5.2.5.2. South India
5.2.5.3. West India
5.2.5.4. East India
6. North India Artificial Intelligence in Healthcare Market Overview
6.1. North India Artificial Intelligence in Healthcare Market Size & Forecast, 2016-2027
6.1.1. Demand
6.1.1.1. By Value (USD Million)
6.2. North India Artificial Intelligence in Healthcare Market Share & Forecast, 2016-2027
6.2.1. By Offering
6.2.1.1. Hardware
6.2.1.2. Software
6.2.1.3. Services
6.2.2. By Technology
6.2.2.1. Machine Learning
6.2.2.2. Natural Language Processing
6.2.2.3. Context-Aware Computing
6.2.2.4. Computer Vision
6.2.2.5. Querying Method
6.2.3. By Application
6.2.3.1. Patient Data and Risk Analysis
6.2.3.2. Inpatient Care & Hospital Management
6.2.3.3. Medical Imaging & Diagnostics
6.2.3.4. Lifestyle Management & Monitoring
6.2.3.5. Virtual Assistant
6.2.3.6. Drug Discovery, Research
6.2.3.7. Healthcare Assistance Robots
6.2.3.8. Precision Medicine
6.2.3.9. Emergency Room & Robot-Assisted Surgery
6.2.3.10. Clinical Trial Participant Identifier
6.2.3.11. Others
6.2.4. By End-User
6.2.4.1. Hospitals and Providers
6.2.4.2. Patients
6.2.4.3. Pharmaceutical and Biotechnology Companies
6.2.4.4. Healthcare Payers
6.2.4.5. Others
7. South India Artificial Intelligence in Healthcare Market Overview
7.1. South India Artificial Intelligence in Healthcare Market Size & Forecast, 2016-2027
7.1.1. Demand
7.1.1.1. By Value (USD Million)
7.2. South India Artificial Intelligence in Healthcare Market Share & Forecast, 2016-2027
7.2.1. By Offering
7.2.1.1. Hardware
7.2.1.2. Software
7.2.1.3. Services
7.2.2. By Technology
7.2.2.1. Machine Learning
7.2.2.2. Natural Language Processing
7.2.2.3. Context-Aware Computing
7.2.2.4. Computer Vision
7.2.2.5. Querying Method
7.2.3. By Application
7.2.3.1. Patient Data and Risk Analysis
7.2.3.2. Inpatient Care & Hospital Management
7.2.3.3. Medical Imaging & Diagnostics
7.2.3.4. Lifestyle Management & Monitoring
7.2.3.5. Virtual Assistant
7.2.3.6. Drug Discovery, Research
7.2.3.7. Healthcare Assistance Robots
7.2.3.8. Precision Medicine
7.2.3.9. Emergency Room & Robot-Assisted Surgery
7.2.3.10. Clinical Trial Participant Identifier
7.2.3.11. Others
7.2.4. By End-User
7.2.4.1. Hospitals and Providers
7.2.4.2. Patients
7.2.4.3. Pharmaceutical and Biotechnology Companies
7.2.4.4. Healthcare Payers
7.2.4.5. Others
8. West India Artificial Intelligence in Healthcare Market Overview
8.1. West India Artificial Intelligence in Healthcare Market Size & Forecast, 2016-2027
8.1.1. Demand
8.1.1.1. By Value (USD Million)
8.2. West India Artificial Intelligence in Healthcare Market Share & Forecast, 2016-2027
8.2.1. By Offering
8.2.1.1. Hardware
8.2.1.2. Software
8.2.1.3. Services
8.2.2. By Technology
8.2.2.1. Machine Learning
8.2.2.2. Natural Language Processing
8.2.2.3. Context-Aware Computing
8.2.2.4. Computer Vision
8.2.2.5. Querying Method
8.2.3. By Application
8.2.3.1. Patient Data and Risk Analysis
8.2.3.2. Inpatient Care & Hospital Management
8.2.3.3. Medical Imaging & Diagnostics
8.2.3.4. Lifestyle Management & Monitoring
8.2.3.5. Virtual Assistant
8.2.3.6. Drug Discovery, Research
8.2.3.7. Healthcare Assistance Robots
8.2.3.8. Precision Medicine
8.2.3.9. Emergency Room & Robot-Assisted Surgery
8.2.3.10. Clinical Trial Participant Identifier
8.2.3.11. Others
8.2.4. By End-User
8.2.4.1. Hospitals and Providers
8.2.4.2. Patients
8.2.4.3. Pharmaceutical and Biotechnology Companies
8.2.4.4. Healthcare Payers
8.2.4.5. Others
9. East India Artificial Intelligence in Healthcare Market Overview
9.1. East India Artificial Intelligence in Healthcare Market Size & Forecast, 2016-2027
9.1.1. Demand
9.1.1.1. By Value (USD Million)
9.2. East India Artificial Intelligence in Healthcare Market Share & Forecast, 2016-2027
9.2.1. By Offering
9.2.1.1. Hardware
9.2.1.2. Software
9.2.1.3. Services
9.2.2. By Technology
9.2.2.1. Machine Learning
9.2.2.2. Natural Language Processing
9.2.2.3. Context-Aware Computing
9.2.2.4. Computer Vision
9.2.2.5. Querying Method
9.2.3. By Application
9.2.3.1. Patient Data and Risk Analysis
9.2.3.2. Inpatient Care & Hospital Management
9.2.3.3. Medical Imaging & Diagnostics
9.2.3.4. Lifestyle Management & Monitoring
9.2.3.5. Virtual Assistant
9.2.3.6. Drug Discovery, Research
9.2.3.7. Healthcare Assistance Robots
9.2.3.8. Precision Medicine
9.2.3.9. Emergency Room & Robot-Assisted Surgery
9.2.3.10. Clinical Trial Participant Identifier
9.2.3.11. Others
9.2.4. By End-User
9.2.4.1. Hospitals and Providers
9.2.4.2. Patients
9.2.4.3. Pharmaceutical and Biotechnology Companies
9.2.4.4. Healthcare Payers
9.2.4.5. Others
10. Competitor Analysis
10.1. Company Description
10.2. Financial Analysis
10.3. Key Products
10.4. Key Management Personnel
10.5. Contact Address
10.6. SWOT Analysis
10.7. Company Profile
10.7.1. Intel
10.7.2. NVIDIA
10.7.3. Siemens Healthineers
10.7.4. Medtronic
10.7.5. Micron Technology
10.7.6. IBM
10.7.7. Microsoft
10.7.8. Google Inc
10.7.9. Amazon Web Services
10.7.10. CloudMedx
10.7.11. Sigtuple
10.7.12. ChironX
10.7.13. Niramai Health Analytix
10.7.14. Qure.ai
10.7.15. Predible Health
10.7.16. Artivatic
10.7.17. LiveHealth
10.7.18. Artelus
10.7.19. Tricog
10.7.20. OnliDoc
10.7.21. Other Prominent Players
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