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Artificial Intelligence in Healthcare Market Introduction: Artificial Intelligence in Healthcare Market is estimated to value over USD 37 billion by 2029 end and is expected to register a CAGR of over 50% during the forecast period 2020 to 2029. 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 Deep Learning Supervised Learning Unsupervised Learning Reinforcement Learning Context-Aware Computing Computer Vision By Offering Software Hardware Processor Memory Services Deployment & Integration 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 • Mental Health By End User • Patients • Hospitals • Biotechnology Companies • High-tech Hospitals and Research Labs By Region • North America • Europe • Asia Pacific • Latin America • Rest of the World 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 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 rest of the world • 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 in Healthcare Market is estimated to value over USD 37 billion by 2029 end and is expected to register a CAGR of over 50% during the forecast period 2020 to 2029.
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
By Offering
By Application • In-Patient Care & Hospital • Patient Data and Risk Analysis • Medical Imaging & Diagnostics • Lifestyle Management & Monitoring • Virtual Assistant • Healthcare Assistant Robots • Wearable • Mental Health
By End User • Patients • Hospitals • Biotechnology Companies • High-tech Hospitals and Research Labs
By Region • North America • Europe • Asia Pacific • Latin America • Rest of the World
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:
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 rest of the world • 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. Global 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. Global Artificial Intelligence in Healthcare MarketOverview 5.1. Market Dynamics 5.1.1. Market Driver Analysis 5.1.1.1. Increasing focus of Artificial Intelligence in Healthcare 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. Global Artificial Intelligence in Healthcare MarketAnalysis 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. Global Artificial Intelligence in Healthcare Market, By Technology Historical Analysis and Forecast 2020-2029 (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 7.3. Context-Aware Computing 7.4. Computer Vision 8. Global Artificial Intelligence in Healthcare Market, By Offering Historical Analysis and Forecast 2020-2029 (USD Million) 8.1. Software 8.2. Hardware 8.2.1.Processor 8.2.2.Memory 8.3.Services 8.3.1.Deployment & Integration 8.3.2.Support & Maintenance 9. Global Artificial Intelligence in Healthcare Market, By Application Historical Analysis and Forecast 2020-2029 (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 10. Global Artificial Intelligence in Healthcare Market, By End User Historical Analysis and Forecast 2020-2029 (USD Million) 10.1.Patients 10.2. Hospitals 10.3. Biotechnology Companies 10.4.High-tech Hospital and Research Labs 11. North America Market Analysis 2015–2020 and Forecast 2020–2029 (USD Million) 11.1. Introduction 11.2. Historical Market Size (USD Million) Analysis By Country, 2015-2020 11.2.1. U.S.A 11.2.2. Canada 11.2.3. Mexico 11.3. Market Size (USD Million) Forecast for North America 2020-2029 12. Latin America Market Analysis 2015–2020 and Forecast 2020–2029 (USD Million) 12.1. Introduction 12.2. Historical Market Size (USD Million) Analysis By Country, 2015-2020 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 2020-2029 13. Europe Market Analysis 2015–2019 and Forecast 2020–2027 (USD Million) 13.1. Introduction 13.2. Historical Market Size (USD Million) Analysis By Country, 2015-2020 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 2020-2029 14. Asia Pacific Market Analysis 2015–2019 and Forecast 2020–2029 (USD Million) 14.1. Introduction 14.2. Historical Market Size (USD Million) Analysis By Country, 2015-2020 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 2020-2029 15. Middle East and Africa Market Analysis 2015–2020 and Forecast 2020–2029 (USD Million) 15.1. Introduction 15.2. Historical Market Size (USD Million) Analysis By Country, 2015-2020 15.2.1. Saudi Arabia 15.2.2. UAE 15.2.3. South Africa 15.2.4. Egypt 15.3. Market Size (USD Million) Forecast for MEA 2020-2029 16. Company Profiles (Competition Dashboard, Competitors Deep Dive, Product Connected Devices and Disease Indication Portfolio, Financial Layouts) 16.1. IBM 16.1.1. Company Overview 16.1.2. Product Portfolio 16.1.3. SWOT Analysis 16.1.4. Financial Overview 16.1.5. Strategic Overview 16.2. AiCure 16.2.1. Company Overview 16.2.2. Product Portfolio 16.2.3. SWOT Analysis 16.2.4. Financial Overview 16.2.5. Strategic Overview 16.3. APIXIO Inc. 16.3.1. Company Overview 16.3.2. Product Portfolio 16.3.3. SWOT Analysis 16.3.4. Financial Overview 16.3.5. Strategic Overview 16.4. iCaronX 16.4.1. Company Overview 16.4.2. Product Portfolio 16.4.3. SWOT Analysis 16.4.4. Financial Overview 16.4.5. Strategic Overview 16.5 Insilico Medicien Inc. 16.5.1. Company Overview 16.5.2. Product Portfolio 16.5.3. SWOT Analysis 16.5.4. Financial Overview 16.5.5. Strategic Overview 16.6 Sophia Genetics 16.6.1. Company Overview 16.6.2. Product Portfolio 16.6.3. SWOT Analysis 16.6.4. Financial Overview 16.6.5. Strategic Overview 16.7. Welltok 16.7.1. Company Overview 16.7.2. Product Portfolio 16.7.3. SWOT Analysis 16.7.4. Financial Overview 16.7.5. Strategic Overview 16.8. Zebra Medical Vision Ltd. 16.8.1. Company Overview 16.8.2. Product Portfolio 16.8.3. SWOT Analysis 16.8.4. Financial Overview 16.8.5. Strategic Overview 16.9. Micron Technology 16.9.1. Company Overview 16.9.2. Product Portfolio 16.9.3. SWOT Analysis 16.9.4. Financial Overview 16.9.5. Strategic Overview 16.10. Amazon Web Services 16.10.1. Company Overview 16.10.2. Product Portfolio 16.10.3. SWOT Analysis 16.10.4. Financial Overview 16.10.5. Strategic Overview 16.11. Intel 16.11.1. Company Overview 16.11.2. Product Portfolio 16.11.3. SWOT Analysis 16.11.4. Financial Overview 16.11.5. Strategic Overview 16.12. Nvidia 16.12.1. Company Overview 16.12.2. Product Portfolio 16.12.3. SWOT Analysis 16.12.4. Financial Overview 16.12.5. Strategic Overview 16.13. Google 16.13.1. Company Overview 16.13.2. Product Portfolio 16.13.3. SWOT Analysis 16.13.4. Financial Overview 16.13.5. Strategic Overview 16.14. Microsoft 16.14.1. Company Overview 16.14.2. Product Portfolio 16.14.3. SWOT Analysis 16.14.4. Financial Overview 16.14.5. Strategic Overview 17. FutureWise SME Key Takeaway Points for Client
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