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Category : Healthcare
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Artificial Intelligence in Healthcare Market is estimated to register a CAGR of over 38.1% during the forecast period 2022 to 2028. Artificial Intelligence (AI) is mainly applicable in treatment procedures, medication management and drug discovery. Increasing demand for treatments customised according to the requirements of an individual patient is predicted to boost the market growth. Furthermore, AI technology is employed to implement data mining to accelerate healthcare delivery services will increase the adoption of AI technology worldwide. Additionally, the emanation of promising and novel applications for diagnosis and monitoring of diseases will prove to be an integral factor responsible for the significant market growth. Based on technology, the market is bifurcated into natural language processing (NLP), machine learning, context-aware computing and computer vision. Machine learning segment is further sub-segmented as deep learning, supervised learning, unsupervised learning and reinforcement learning. In terms of offering, the market is categorised as software, hardware and services. The hardware segment further bifurcated into processor and memory while the services segment is further sub-segmented as deployment and integration and support & maintenance. Depending on the end-use application, the market is bifurcated into in-patient care & hospital, patient data and risk analysis, medical imaging & diagnosis, lifestyle management & monitoring, virtual assistant, healthcare assistant robots, wearable and mental health. Apple watch series 4 was recently granted de novo status making it a class 2 medical device. This has opened new opportunities for the wearables segment to exhibit a soaring market growth globally. End-user-wise, the market is categorised as patients, hospitals, biotechnology companies and high-tech hospitals & research labs Impact of COVID-19 on Artificial Intelligence in Healthcare Market: Microsoft have mobilized their AI for healthcare initiative to emphasize on assisting the healthcare personnel working on the frontline for COVID-19 research. They are primarily focusing on five specific areas and have dedicated over USD 20 million for this initiative. They have established some crucial partnerships for fighting COVID-19. The COVID-19 High Performance Computing Consortium, which is an initiative led by the White House Office of Science and Technology Policy, has been provided access to some of the most powerful computing sources for research purposes. This can substantially pace up scientific discoveries for developing appropriate vaccines to fight the virus. Furthermore, The Institute for Health Metrics and Evaluation which is a health research organization from the UWSCM, has released a visualization and forecast data set for COVID-19 that has been actively used by the FEMA, White House, hospitals and governors for mobilizing resources. Such initiatives shall reinforce the growth of the market. Artificial Intelligence in Healthcare Market Segmentation: By Technology • Natural Language Processing (NLP) • Machine Learning o Deep Learning o Supervised Learning o Unsupervised Learning o Reinforcement Learning o Others • Context-Aware Computing • Computer Vision By Offering • Software o AI Solutions o On-Premises o Cloud o AI Platform o Machine Learning Framework o Application Program Interface • Hardware o Processor o MPU o GPU o FPGA o ASIC o Memory o Network • Services o Deployment & Integration o Support & Maintenance By Application • In-Patient Care & Hospital • Patient Data and Risk Analysis • Medical Imaging & Diagnostics • Lifestyle Management & Monitoring • Virtual Assistant • Healthcare Assistant Robots • Wearable • Drug Discovery • Research • Precision Medicine • Emergency Room & Surgery • Mental Health • Cybersecurity By End User • Hospitals & Healthcare Providers • Patients • Pharmaceuticals & Biotechnology Companies • Healthcare Payers • Others (ACOS and MCOS) By Region • North America • Europe • Asia Pacific • Latin America • Middle East and Africa Competitive Landscape: • Tier 1 players- established companies in the market with a major market share • Tier 2 players • Emerging players which are growing rapidly • New Entrants Key Market Players: • IBM (Watson Health) • AiCure • APIXIO Inc. • iCarbonX • Insilico Medicine Inc. • Sophia Genetics • Welltok • Zebra Medical Vision Ltd. • Micron Technology • Amazon Web Services • Intel • Nvidia • Google • Microsoft • NVIDIA Corporation • General Vision, Inc. • General Electric (GE) Healthcare • Siemens Healthineers • Medtronic plc • Siemens Healthineers FutureWise Key Takeaways: • With an ever-increasing patient population, the healthcare database volume shall be consistently increasing thus making the AI technology more crucial for database management • Deep learning technology is currently at its nascent stage and further advancements in this technology shall expand the market significantly Objectives of the Study: • To provide with an exhaustive analysis on the market by technology, by offering, by application, by end user and by region • To cater comprehensive information on factors impacting market growth (drivers, restraints, opportunities, and industry-specific restraints) • To evaluate and forecast micro-markets and the overall market • To predict the market size, in key regions (along with countries)— North America, Europe, Asia Pacific, Latin America and Middle East and Africa. • To record evaluate and competitive landscape mapping- product launches, technological advancements, mergers and expansions • Profiling of companies to evaluate their market shares, strategies, financials and core competencies Flexible Delivery Model: We have a flexible delivery model and you can suggest changes in the scope/table of content as per your requirement The customization Mobility Care offered are free of charge with purchase of any license of the report You can directly share your requirements/changes to the current table of content to: sales@futurewiseresearch.com
Artificial Intelligence (AI) is mainly applicable in treatment procedures, medication management and drug discovery. Increasing demand for treatments customised according to the requirements of an individual patient is predicted to boost the market growth. Furthermore, AI technology is employed to implement data mining to accelerate healthcare delivery services will increase the adoption of AI technology worldwide. Additionally, the emanation of promising and novel applications for diagnosis and monitoring of diseases will prove to be an integral factor responsible for the significant market growth.
Based on technology, the market is bifurcated into natural language processing (NLP), machine learning, context-aware computing and computer vision. Machine learning segment is further sub-segmented as deep learning, supervised learning, unsupervised learning and reinforcement learning.
In terms of offering, the market is categorised as software, hardware and services. The hardware segment further bifurcated into processor and memory while the services segment is further sub-segmented as deployment and integration and support & maintenance.
Depending on the end-use application, the market is bifurcated into in-patient care & hospital, patient data and risk analysis, medical imaging & diagnosis, lifestyle management & monitoring, virtual assistant, healthcare assistant robots, wearable and mental health. Apple watch series 4 was recently granted de novo status making it a class 2 medical device. This has opened new opportunities for the wearables segment to exhibit a soaring market growth globally.
End-user-wise, the market is categorised as patients, hospitals, biotechnology companies and high-tech hospitals & research labs
Impact of COVID-19 on Artificial Intelligence in Healthcare Market:
Microsoft have mobilized their AI for healthcare initiative to emphasize on assisting the healthcare personnel working on the frontline for COVID-19 research. They are primarily focusing on five specific areas and have dedicated over USD 20 million for this initiative. They have established some crucial partnerships for fighting COVID-19. The COVID-19 High Performance Computing Consortium, which is an initiative led by the White House Office of Science and Technology Policy, has been provided access to some of the most powerful computing sources for research purposes. This can substantially pace up scientific discoveries for developing appropriate vaccines to fight the virus. Furthermore, The Institute for Health Metrics and Evaluation which is a health research organization from the UWSCM, has released a visualization and forecast data set for COVID-19 that has been actively used by the FEMA, White House, hospitals and governors for mobilizing resources. Such initiatives shall reinforce the growth of the market.
Artificial Intelligence in Healthcare Market Segmentation:
By Technology • Natural Language Processing (NLP) • Machine Learning o Deep Learning o Supervised Learning o Unsupervised Learning o Reinforcement Learning o Others • Context-Aware Computing • Computer Vision
By Offering • Software o AI Solutions o On-Premises o Cloud o AI Platform o Machine Learning Framework o Application Program Interface • Hardware o Processor o MPU o GPU o FPGA o ASIC o Memory o Network • Services o Deployment & Integration o Support & Maintenance
By Application • In-Patient Care & Hospital • Patient Data and Risk Analysis • Medical Imaging & Diagnostics • Lifestyle Management & Monitoring • Virtual Assistant • Healthcare Assistant Robots • Wearable • Drug Discovery • Research • Precision Medicine • Emergency Room & Surgery • Mental Health • Cybersecurity
By End User • Hospitals & Healthcare Providers • Patients • Pharmaceuticals & Biotechnology Companies • Healthcare Payers • Others (ACOS and MCOS)
By Region • North America • Europe • Asia Pacific • Latin America • Middle East and Africa
Competitive Landscape: • Tier 1 players- established companies in the market with a major market share • Tier 2 players • Emerging players which are growing rapidly • New Entrants
Key Market Players:
• IBM (Watson Health) • AiCure • APIXIO Inc. • iCarbonX • Insilico Medicine Inc. • Sophia Genetics • Welltok • Zebra Medical Vision Ltd. • Micron Technology • Amazon Web Services • Intel • Nvidia • Google • Microsoft • NVIDIA Corporation • General Vision, Inc. • General Electric (GE) Healthcare • Siemens Healthineers • Medtronic plc • Siemens Healthineers
FutureWise Key Takeaways: • With an ever-increasing patient population, the healthcare database volume shall be consistently increasing thus making the AI technology more crucial for database management • Deep learning technology is currently at its nascent stage and further advancements in this technology shall expand the market significantly
Objectives of the Study:
• To provide with an exhaustive analysis on the market by technology, by offering, by application, by end user and by region • To cater comprehensive information on factors impacting market growth (drivers, restraints, opportunities, and industry-specific restraints) • To evaluate and forecast micro-markets and the overall market • To predict the market size, in key regions (along with countries)— North America, Europe, Asia Pacific, Latin America and Middle East and Africa. • To record evaluate and competitive landscape mapping- product launches, technological advancements, mergers and expansions • Profiling of companies to evaluate their market shares, strategies, financials and core competencies
Flexible Delivery Model:
1. Market Introduction 1.1. Objectives of the Study 1.2. Market Definition 1.3. Market Scope 1.3.1. Years Considered for the Study 1.3.2. Market Covered 1.4. Currency 1.5. Limitations 1.6. Stakeholders 2. Research Methodology 2.1. Research Data 2.1.1. Secondary Data 2.1.1.1. Key Data from Secondary Sources 2.1.2. Primary Data 2.1.2.1. Key Data from Primary Sources 2.2. Market Size Estimation 2.3. Market Breakdown and Data Triangulation 2.4. Assumptions for the Study 3. Executive Summary 3.1. Market Outlook 3.2. Segment Outlook 3.3. Competitive Insights 4. Artificial Intelligence in Healthcare Market Variables, Trends & Scope 4.1. Market Lineage Outlook 4.2. Penetration and Growth Prospect Mapping 4.3. Industry Value Chain Analysis 4.4. Cost Analysis Breakdown 4.5. Technology Overview 4.6. Regulatory Framework 4.6.1. Reimbursement Framework 4.6.2. Standards and Compliances 5. Market Overview 5.1. Market Dynamics 5.1.1. Market Driver Analysis 5.1.1.1. Increasing focus of Artificial Intelligence in Healthcare Market Companies on Brand Protection 5.1.1.2. Untapped Opportunities in Emerging Regions 5.1.2. Market Restraint Analysis 5.1.2.1. High Cost Associated with Implementation of Predictive Analysis 5.1.3. Industry Challenges 5.1.3.1. Presence of Ambiguous Regulatory Framework 6. Artificial Intelligence in Healthcare Market Analysis Tools 6.1. Industry Analysis - Porter’s 6.1.1. Supplier Power 6.1.2. Buyer Power 6.1.3. Substitution Threat 6.1.4. Threat from New Entrants 6.1.5. Competitive Rivalry 6.2. Pestel Analysis 6.2.1. Political Landscape 6.2.2. Environmental Landscape 6.2.3. Social Landscape 6.2.4. Technology Landscape 6.2.5. Legal Landscape 6.3. Major Deals And Strategic Alliances Analysis 6.3.1. Joint Ventures 6.3.2. Mergers and Acquisitions 6.3.3. Licensing and Partnership 6.3.4. Technology Collaborations 6.3.5. Strategic Divestments 6.4. Market Entry Strategies 6.5. Case Studies 7. Artificial Intelligence in Healthcare Market, By Technology Historical Analysis and Forecast 2022-2028 (USD Million) 7.1. Natural Language Processing(NLP) 7.2. Machine Learning 7.2.1. Deep Learning 7.2.2. Supervised Learning 7.2.3. Unsupervised Learning 7.2.4. Reinforcement Learning 7.2.5. Others 7.3. Context-Aware Computing 7.4. Computer Vision 8. Artificial Intelligence in Healthcare Market, By Offering Historical Analysis and Forecast 2022-2028 (USD Million) 8.1. Software 8.1.1. AI Solutions 8.1.1.1. On-Premises 8.1.1.2. Cloud 8.1.2. AI Platform 8.1.2.1. Machine Learning Framework 8.1.2.2. Application Program Interface 8.2. Hardware 8.2.1. Processor 8.2.1.1. MPU 8.2.1.2. GPU 8.2.1.3. FPGA 8.2.1.4. ASIC 8.2.2. Memory 8.2.3. Network 8.3.Services 8.3.1. Deployment & Integration 8.3.2. Support & Maintenance 9. Artificial Intelligence in Healthcare Market, By End User Historical Analysis and Forecast 2022-2028 (USD Million) 9.1. In-Patient Care & Hospital 9.2. Patient Data and Risk Analysis 9.3. Medical Imaging & Diagnostics 9.4. Lifestyle Management & Monitoring 9.5.Virtual Assistant 9.6. Healthcare Assistant Robots 9.7. Wearable 9.8. Mental Health 9.9. Drug Discovery 9.10. Research 9.11. Precision Medicine 9.12. Emergency Room & Surgery 9.13. Cybersecurity 10. Artificial Intelligence in Healthcare Market, By Application Historical Analysis and Forecast 2022-2028 (USD Million) 10.1. Hospitals & Healthcare Providers 10.2. Patients 10.3. Pharmaceuticals & Biotechnology Companies 10.4. Healthcare Payers 10.5. Others (ACOS and MCOS) 11. North America Artificial Intelligence in Healthcare Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million) 11.1. Introduction 11.2. Historical Market Size (USD Million) Analysis By Country, 2016-2020 11.2.1. U.S.A 11.2.2. Canada 11.2.3. Mexico 11.3. Market Size (USD Million) Forecast for North America 2022-2028 12. Latin America Artificial Intelligence in Healthcare Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million) 12.1. Introduction 12.2. Historical Market Size (USD Million) Analysis By Country, 2016-2020 12.2.1. Brazil 12.2.2. Venezuela 12.2.3. Argentina 12.2.4. Rest of Latin America 12.3. Market Size (USD Million) Forecast for Latin America 2022-2028 13. Europe Artificial Intelligence in Healthcare Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million) 13.1. Introduction 13.2. Historical Market Size (USD Million) Analysis By Country, 2016-2020 13.2.1. Germany 13.2.2. U.K 13.2.3. France 13.2.4. Italy 13.2.5. Spain 13.2.6. Russia 13.2.7. Poland 13.2.8. Rest of Europe 13.3. Market Size (USD Million) Forecast for Europe 2022-2028 14. Asia Pacific Artificial Intelligence in Healthcare Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million) 14.1. Introduction 14.2. Historical Market Size (USD Million) Analysis By Country, 2016-2020 14.2.1. Japan 14.2.2. China 14.2.3. India 14.2.4. Australia and New Zealand 14.2.5. ASEAN 14.2.6. Rest of Asia Pacific 14.3. Market Size (USD Million) Forecast for Asia Pacific 2022-2028 15. Middle East and Africa Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million) 15.1. Introduction 15.2. Historical Market Size (USD Million) Analysis By Country, 2016-2020 15.2.1. GCC 15.2.2. Israel 15.2.3. South Africa 15.2.4. Rest of MEA 15.3. Market Size (USD Million) Forecast for MEA 2022-2028 16. Market Share Analysis and Competitive Landscape 16.1. Global Landscape - Key Players, Revenue and Presence 16.2. Global Share Analysis - Key Players (Tier 1, Tier 2, Tier 3) 16.3. Global Emerging Companies 16.4. North America - Market Share Analysis and Key Regional Players 16.5. Europe - Market Share Analysis and Key Regional Players 16.6. Asia Pacific - Market Share Analysis and Key Regional Players 16.7. Global Key Player - Growth Matrix 17. Company Profiles (Competition Dashboard, Competitors Deep Dive, Products Offered and Financial Layouts) 17.1. IBM 17.1.1. Company Overview 17.1.2. Product Portfolio 17.1.3. SWOT Analysis 17.1.4. Financial Overview 17.1.5. Strategic Overview 17.2. AiCure 17.2.1. Company Overview 17.2.2. Product Portfolio 17.2.3. SWOT Analysis 17.2.4. Financial Overview 17.2.5. Strategic Overview 17.3. APIXIO Inc. 17.3.1. Company Overview 17.3.2. Product Portfolio 17.3.3. SWOT Analysis 17.3.4. Financial Overview 17.3.5. Strategic Overview 17.4. ICaronX 17.4.1. Company Overview 17.4.2. Product Portfolio 17.4.3. SWOT Analysis 17.4.4. Financial Overview 17.4.5. Strategic Overview 17.5 Insilico Medicien Inc. 17.5.1. Company Overview 17.5.2. Product Portfolio 17.5.3. SWOT Analysis 17.5.4. Financial Overview 17.5.5. Strategic Overview 17.6 Sophia Genetics 17.6.1. Company Overview 17.6.2. Product Portfolio 17.6.3. SWOT Analysis 17.6.4. Financial Overview 17.6.5. Strategic Overview 17.7. Welltok 17.7.1. Company Overview 17.7.2. Product Portfolio 17.7.3. SWOT Analysis 17.7.4. Financial Overview 17.7.5. Strategic Overview 17.8. Zebra Medical Vision Ltd. 17.8.1. Company Overview 17.8.2. Product Portfolio 17.8.3. SWOT Analysis 17.8.4. Financial Overview 17.8.5. Strategic Overview 17.9. Micron Technology 17.9.1. Company Overview 17.9.2. Product Portfolio 17.9.3. SWOT Analysis 17.9.4. Financial Overview 17.9.5. Strategic Overview 17.10. Amazon Web Services 17.10.1. Company Overview 17.10.2. Product Portfolio 17.10.3. SWOT Analysis 17.10.4. Financial Overview 17.10.5. Strategic Overview 17.11. Intel 17.11.1. Company Overview 17.11.2. Product Portfolio 17.11.3. SWOT Analysis 17.11.4. Financial Overview 17.11.5. Strategic Overview 17.12. Nvidia 17.12.1. Company Overview 17.12.2. Product Portfolio 17.12.3. SWOT Analysis 17.12.4. Financial Overview 17.12.5. Strategic Overview 17.13. Google 17.13.1. Company Overview 17.13.2. Product Portfolio 17.13.3. SWOT Analysis 17.13.4. Financial Overview 17.13.5. Strategic Overview 17.14. Microsoft 17.14.1. Company Overview 17.14.2. Product Portfolio 17.14.3. SWOT Analysis 17.14.4. Financial Overview 17.14.5. Strategic Overview 17.15. NVIDIA Corporation 17.15.1. Company Overview 17.15.2. Product Portfolio 17.15.3. SWOT Analysis 17.15.4. Financial Overview 17.15.5. Strategic Overview 17.16. General Vision, Inc. 17.16.1. Company Overview 17.16.2. Product Portfolio 17.16.3. SWOT Analysis 17.16.4. Financial Overview 17.16.5. Strategic Overview 17.17. General Electric (GE) Healthcare 17.17.1. Company Overview 17.17.2. Product Portfolio 17.17.3. SWOT Analysis 17.17.4. Financial Overview 17.17.5. Strategic Overview 17.18. Siemens Healthineers 17.18.1. Company Overview 17.18.2. Product Portfolio 17.18.3. SWOT Analysis 17.18.4. Financial Overview 17.18.5. Strategic Overview 17.19. Medtronic plc 17.19.1. Company Overview 17.19.2. Product Portfolio 17.19.3. SWOT Analysis 17.19.4. Financial Overview 17.19.5. Strategic Overview 17.20. Siemens Healthineers 17.20.1. Company Overview 17.20.2. Product Portfolio 17.20.3. SWOT Analysis 17.20.4. Financial Overview 17.20.5. Strategic Overview 18. Pre and Post COVID-19 Impact 18.1. Positive influence on the healthcare industry 18.2. The financial disruption of the manufacturing sector 18.3. Impact of COVID-19 on emerging companies 18.4. Significant mandates in the healthcare regulations initiated by administrations 18.5. The overall economic slowdown of the developing and developed nations 19. FutureWise SME Key Takeaway Points for Client
1. Market Introduction 1.1. Objectives of the Study 1.2. Market Definition 1.3. Market Scope 1.3.1. Years Considered for the Study 1.3.2. Market Covered 1.4. Currency 1.5. Limitations 1.6. Stakeholders
2. Research Methodology 2.1. Research Data 2.1.1. Secondary Data 2.1.1.1. Key Data from Secondary Sources 2.1.2. Primary Data 2.1.2.1. Key Data from Primary Sources 2.2. Market Size Estimation 2.3. Market Breakdown and Data Triangulation 2.4. Assumptions for the Study
3. Executive Summary 3.1. Market Outlook 3.2. Segment Outlook 3.3. Competitive Insights
4. Artificial Intelligence in Healthcare Market Variables, Trends & Scope 4.1. Market Lineage Outlook 4.2. Penetration and Growth Prospect Mapping 4.3. Industry Value Chain Analysis 4.4. Cost Analysis Breakdown 4.5. Technology Overview 4.6. Regulatory Framework 4.6.1. Reimbursement Framework 4.6.2. Standards and Compliances
5. Market Overview 5.1. Market Dynamics 5.1.1. Market Driver Analysis 5.1.1.1. Increasing focus of Artificial Intelligence in Healthcare Market Companies on Brand Protection 5.1.1.2. Untapped Opportunities in Emerging Regions 5.1.2. Market Restraint Analysis 5.1.2.1. High Cost Associated with Implementation of Predictive Analysis 5.1.3. Industry Challenges 5.1.3.1. Presence of Ambiguous Regulatory Framework
6. Artificial Intelligence in Healthcare Market Analysis Tools 6.1. Industry Analysis - Porter’s 6.1.1. Supplier Power 6.1.2. Buyer Power 6.1.3. Substitution Threat 6.1.4. Threat from New Entrants 6.1.5. Competitive Rivalry 6.2. Pestel Analysis 6.2.1. Political Landscape 6.2.2. Environmental Landscape 6.2.3. Social Landscape 6.2.4. Technology Landscape 6.2.5. Legal Landscape 6.3. Major Deals And Strategic Alliances Analysis 6.3.1. Joint Ventures 6.3.2. Mergers and Acquisitions 6.3.3. Licensing and Partnership 6.3.4. Technology Collaborations 6.3.5. Strategic Divestments 6.4. Market Entry Strategies 6.5. Case Studies
7. Artificial Intelligence in Healthcare Market, By Technology Historical Analysis and Forecast 2022-2028 (USD Million) 7.1. Natural Language Processing(NLP) 7.2. Machine Learning 7.2.1. Deep Learning 7.2.2. Supervised Learning 7.2.3. Unsupervised Learning 7.2.4. Reinforcement Learning 7.2.5. Others 7.3. Context-Aware Computing 7.4. Computer Vision
8. Artificial Intelligence in Healthcare Market, By Offering Historical Analysis and Forecast 2022-2028 (USD Million) 8.1. Software 8.1.1. AI Solutions 8.1.1.1. On-Premises 8.1.1.2. Cloud 8.1.2. AI Platform 8.1.2.1. Machine Learning Framework 8.1.2.2. Application Program Interface 8.2. Hardware 8.2.1. Processor 8.2.1.1. MPU 8.2.1.2. GPU 8.2.1.3. FPGA 8.2.1.4. ASIC 8.2.2. Memory 8.2.3. Network 8.3.Services 8.3.1. Deployment & Integration 8.3.2. Support & Maintenance
9. Artificial Intelligence in Healthcare Market, By End User Historical Analysis and Forecast 2022-2028 (USD Million) 9.1. In-Patient Care & Hospital 9.2. Patient Data and Risk Analysis 9.3. Medical Imaging & Diagnostics 9.4. Lifestyle Management & Monitoring 9.5.Virtual Assistant 9.6. Healthcare Assistant Robots 9.7. Wearable 9.8. Mental Health 9.9. Drug Discovery 9.10. Research 9.11. Precision Medicine 9.12. Emergency Room & Surgery 9.13. Cybersecurity
10. Artificial Intelligence in Healthcare Market, By Application Historical Analysis and Forecast 2022-2028 (USD Million) 10.1. Hospitals & Healthcare Providers 10.2. Patients 10.3. Pharmaceuticals & Biotechnology Companies 10.4. Healthcare Payers 10.5. Others (ACOS and MCOS)
11. North America Artificial Intelligence in Healthcare Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million) 11.1. Introduction 11.2. Historical Market Size (USD Million) Analysis By Country, 2016-2020 11.2.1. U.S.A 11.2.2. Canada 11.2.3. Mexico 11.3. Market Size (USD Million) Forecast for North America 2022-2028
12. Latin America Artificial Intelligence in Healthcare Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million) 12.1. Introduction 12.2. Historical Market Size (USD Million) Analysis By Country, 2016-2020 12.2.1. Brazil 12.2.2. Venezuela 12.2.3. Argentina 12.2.4. Rest of Latin America 12.3. Market Size (USD Million) Forecast for Latin America 2022-2028
13. Europe Artificial Intelligence in Healthcare Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million) 13.1. Introduction 13.2. Historical Market Size (USD Million) Analysis By Country, 2016-2020 13.2.1. Germany 13.2.2. U.K 13.2.3. France 13.2.4. Italy 13.2.5. Spain 13.2.6. Russia 13.2.7. Poland 13.2.8. Rest of Europe 13.3. Market Size (USD Million) Forecast for Europe 2022-2028
14. Asia Pacific Artificial Intelligence in Healthcare Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million) 14.1. Introduction 14.2. Historical Market Size (USD Million) Analysis By Country, 2016-2020 14.2.1. Japan 14.2.2. China 14.2.3. India 14.2.4. Australia and New Zealand 14.2.5. ASEAN 14.2.6. Rest of Asia Pacific 14.3. Market Size (USD Million) Forecast for Asia Pacific 2022-2028
15. Middle East and Africa Market Analysis 2016-2020 and Forecast 2022-2028 (USD Million) 15.1. Introduction 15.2. Historical Market Size (USD Million) Analysis By Country, 2016-2020 15.2.1. GCC 15.2.2. Israel 15.2.3. South Africa 15.2.4. Rest of MEA 15.3. Market Size (USD Million) Forecast for MEA 2022-2028
16. Market Share Analysis and Competitive Landscape 16.1. Global Landscape - Key Players, Revenue and Presence 16.2. Global Share Analysis - Key Players (Tier 1, Tier 2, Tier 3) 16.3. Global Emerging Companies 16.4. North America - Market Share Analysis and Key Regional Players 16.5. Europe - Market Share Analysis and Key Regional Players 16.6. Asia Pacific - Market Share Analysis and Key Regional Players 16.7. Global Key Player - Growth Matrix
17. Company Profiles (Competition Dashboard, Competitors Deep Dive, Products Offered and Financial Layouts) 17.1. IBM 17.1.1. Company Overview 17.1.2. Product Portfolio 17.1.3. SWOT Analysis 17.1.4. Financial Overview 17.1.5. Strategic Overview 17.2. AiCure 17.2.1. Company Overview 17.2.2. Product Portfolio 17.2.3. SWOT Analysis 17.2.4. Financial Overview 17.2.5. Strategic Overview 17.3. APIXIO Inc. 17.3.1. Company Overview 17.3.2. Product Portfolio 17.3.3. SWOT Analysis 17.3.4. Financial Overview 17.3.5. Strategic Overview 17.4. ICaronX 17.4.1. Company Overview 17.4.2. Product Portfolio 17.4.3. SWOT Analysis 17.4.4. Financial Overview 17.4.5. Strategic Overview 17.5 Insilico Medicien Inc. 17.5.1. Company Overview 17.5.2. Product Portfolio 17.5.3. SWOT Analysis 17.5.4. Financial Overview 17.5.5. Strategic Overview 17.6 Sophia Genetics 17.6.1. Company Overview 17.6.2. Product Portfolio 17.6.3. SWOT Analysis 17.6.4. Financial Overview 17.6.5. Strategic Overview 17.7. Welltok 17.7.1. Company Overview 17.7.2. Product Portfolio 17.7.3. SWOT Analysis 17.7.4. Financial Overview 17.7.5. Strategic Overview 17.8. Zebra Medical Vision Ltd. 17.8.1. Company Overview 17.8.2. Product Portfolio 17.8.3. SWOT Analysis 17.8.4. Financial Overview 17.8.5. Strategic Overview 17.9. Micron Technology 17.9.1. Company Overview 17.9.2. Product Portfolio 17.9.3. SWOT Analysis 17.9.4. Financial Overview 17.9.5. Strategic Overview 17.10. Amazon Web Services 17.10.1. Company Overview 17.10.2. Product Portfolio 17.10.3. SWOT Analysis 17.10.4. Financial Overview 17.10.5. Strategic Overview 17.11. Intel 17.11.1. Company Overview 17.11.2. Product Portfolio 17.11.3. SWOT Analysis 17.11.4. Financial Overview 17.11.5. Strategic Overview 17.12. Nvidia 17.12.1. Company Overview 17.12.2. Product Portfolio 17.12.3. SWOT Analysis 17.12.4. Financial Overview 17.12.5. Strategic Overview 17.13. Google 17.13.1. Company Overview 17.13.2. Product Portfolio 17.13.3. SWOT Analysis 17.13.4. Financial Overview 17.13.5. Strategic Overview 17.14. Microsoft 17.14.1. Company Overview 17.14.2. Product Portfolio 17.14.3. SWOT Analysis 17.14.4. Financial Overview 17.14.5. Strategic Overview 17.15. NVIDIA Corporation 17.15.1. Company Overview 17.15.2. Product Portfolio 17.15.3. SWOT Analysis 17.15.4. Financial Overview 17.15.5. Strategic Overview 17.16. General Vision, Inc. 17.16.1. Company Overview 17.16.2. Product Portfolio 17.16.3. SWOT Analysis 17.16.4. Financial Overview 17.16.5. Strategic Overview 17.17. General Electric (GE) Healthcare 17.17.1. Company Overview 17.17.2. Product Portfolio 17.17.3. SWOT Analysis 17.17.4. Financial Overview 17.17.5. Strategic Overview 17.18. Siemens Healthineers 17.18.1. Company Overview 17.18.2. Product Portfolio 17.18.3. SWOT Analysis 17.18.4. Financial Overview 17.18.5. Strategic Overview 17.19. Medtronic plc 17.19.1. Company Overview 17.19.2. Product Portfolio 17.19.3. SWOT Analysis 17.19.4. Financial Overview 17.19.5. Strategic Overview 17.20. Siemens Healthineers 17.20.1. Company Overview 17.20.2. Product Portfolio 17.20.3. SWOT Analysis 17.20.4. Financial Overview 17.20.5. Strategic Overview
18. Pre and Post COVID-19 Impact 18.1. Positive influence on the healthcare industry 18.2. The financial disruption of the manufacturing sector 18.3. Impact of COVID-19 on emerging companies 18.4. Significant mandates in the healthcare regulations initiated by administrations 18.5. The overall economic slowdown of the developing and developed nations
19. FutureWise SME Key Takeaway Points for Client
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