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Table of Contents
Product Definition
2.1 Scope of Study
2.2 Exclusion and Inclusion Criteria
2.3 Key Questions Answered in the Report
3.1 Primary Data Sources
3.2 Secondary Data Sources
3.3 Data Sources Categorization
3.4 Selection Criteria for Company Profiles
3.5 Brief Overview of the Market Estimation Process
3.6 Data Validation
3.7 Assumptions and Limitations
4.1 Industry Ecosystem
4.2 Funding Scenario
4.3 Readiness Index
4.4 Legal and Regulatory Framework
4.4.1 Regulatory Framework in North America
4.4.1.1 U.S.
4.4.1.1.1 Connected Devices
4.4.1.1.2 Mobile Medical Apps (MMAs)
4.4.1.1.3 Software-as-a-Medical-Device (SaMD)
4.4.1.1.3.1 General Considerations for SaMDs
4.4.2 Regulatory Framework in Europe
4.4.3 Regulatory Framework in Asia-Pacific
4.4.3.1 Regulatory Framework in China
4.5 Patent Analysis
4.5.1 Insights About Awaited Technological Advancements
4.5.1.1 Age of AI-Integrated Robotics Surgery
4.5.1.2 Building an Integrated AI-Enabled Health Ecosystem
4.5.2 Patent Filing Trend
5.1 Impact on Adoption of Artificial Intelligence in Healthcare
5.1.1 Futuristic Impact of COVID-19 on AI Adoption in Healthcare
5.2 Key Developments During COVID-19 Pandemic
5.3 Impact on Market Size of Global AI in Healthcare Market
5.3.1 Scenario Comparative Analysis
5.3.2 Impact on Companies in Global AI in Healthcare
5.4 Regional Impact
5.4.1 Impact of Vaccination on Regional AI Activities
5.5 Entry Barriers and Opportunities for Companies Entering Global AI in Healthcare Market
6.1 Market Share Analysis
6.1.1 Market Share for Analysis for Medical Imaging and Diagnosis Autonomous Software Providers
6.1.2 Competitive Benchmarking for Drug Discovery and Clinical Trials
6.2 Key Developments and Strategies
6.2.1 Partnerships, Collaborations, and Agreements
6.2.2 New Offerings
6.2.3 Mergers and Acquisitions
6.2.4 Funding Activities
6.2.5 Regulatory and Legal Activities
6.3 Product Mapping Analysis
6.4 Business Model Analysis
6.5 Pipeline Analysis
7.1 Assumptions and Limitations
7.2 Key Findings and Opportunity Assessment
7.2.1 Key Findings
7.2.2 Opportunity Assessment
7.3 Market Dynamics
7.3.1 Market Growth-Promoting Factors
7.3.1.1 Increasing Complexities of Clinical Decision-Making Leading to Higher Adoption of AI in Diagnostics
7.3.1.2 Progress in Healthcare IT Leading to an Expanding Array of Applications
7.3.1.3 Growing Need for Patient-Centric Care
7.3.1.4 Facilitation of Polypharmacology by AI
7.3.1.5 Growing Applications of AI in Health Informatics
7.3.1.6 Shortage of Healthcare Workforce to Drive Demand for Solutions Requiring Minimum or No Human Intervention
7.3.2 Market Growth Inhibiting Factors
7.3.2.1 Lack of Clearly Defined Regulations
7.3.2.2 Data Security and Privacy Concerns
7.3.2.3 Barriers to Physician's Adoption of AI
7.3.2.4 Legal Implications of AI Systems
7.3.3 Market Growth Opportunities
7.3.3.1 Capitalizing on Unmet Clinical Demand
7.3.3.2 Enabling Care at Home: Remote Monitoring
7.3.3.3 Leveraging Rapid Development in Deep Learning
7.3.3.4 Unlocking the Combined Potential of AI and Robotics
7.3.4 Impact Analysis
8.1 Overview
8.2 AI-Integrated Hardware
8.3 Software and Services
9.1 Overview
9.2 Machine Learning
9.3 Deep Learning
9.4 Computer Vision
9.5 Natural Language Processing (NLP)
9.6 Others
10.1 Overview
10.2 Medical Imaging and Diagnosis
10.3 Virtual Assistance
10.4 Robot-Assisted Surgery
10.5 Drug Discovery and Clinical Trials
10.6 Data Management
10.7 Telemedicine
10.8 Remote Monitoring and Lifestyle Management
10.9 Others
11.1 Overview
11.2 Healthcare Providers
11.3 Pharmaceutical Companies
11.4 Academic Institutes and Research Centers
11.5 Healthcare Insurance Companies
11.6 Patients
11.7 Others
12.1 Overview
12.2 North America
12.2.1 North America AI in Healthcare Market (by Product)
12.2.2 North America AI in Healthcare Market (by End User)
12.2.3 North America AI in Healthcare Market (by Country)
12.2.3.1 U.S.
12.2.3.2 Canada
12.3 Europe
12.3.1 Europe AI in Healthcare Market (by Product)
12.3.2 Europe AI in Healthcare Market (by End User)
12.3.3 Europe AI in Healthcare Market (by Country)
12.3.3.1 Germany
12.3.3.2 France
12.3.3.3 U.K.
12.3.3.4 Italy
12.3.3.5 Spain
12.3.3.6 Rest-of-Europe
12.4 Asia-Pacific
12.4.1 Asia-Pacific AI in Healthcare Market (by Product)
12.4.2 Asia-Pacific AI in Healthcare Market (by End User)
12.4.3 Asia-Pacific AI in Healthcare Market (by Country)
12.4.3.1 China
12.4.3.2 Japan
12.4.3.3 South Korea
12.4.3.4 Australia
12.4.3.5 India
12.4.3.6 Rest-of-Asia-Pacific
12.5 Rest-of-the-World
12.5.1 Rest-of-the-World AI in Healthcare Market (by Product)
12.5.2 Rest-of-the-World AI in Healthcare Market (by End User)
12.5.3 Rest-of-the-World AI in Healthcare Market (by Country)
12.5.3.1 Brazil
12.5.3.2 Mexico
12.5.3.3 Argentina
12.5.3.4 Rest-of-Rest-of-the-World
13.1 Aidoc
13.2 Atomwise, Inc.
13.3 Babylon Health
13.4 Microsoft Corporation
13.5 Teladoc Health, Inc.
14.1 Activ Surgical Inc.
14.1.1 Company Overview
14.1.2 Role of Activ Surgical Inc. in the Global AI in Healthcare Market
14.1.3 Recent Developments
14.1.4 SWOT Analysis: Activ Surgical Inc.
14.2 Atomwise, Inc.
14.2.1 Company Overview
14.2.2 Role of Atomwise, Inc. in the Global AI in Healthcare Market
14.2.3 Recent Developments
14.2.4 SWOT Analysis: Atomwise, Inc.
14.3 Babylon Health
14.3.1 Overview
14.3.2 Role of Babylon Health in the Global AI in Healthcare Market
14.3.3 Recent Developments
14.3.4 SWOT Analysis: Babylon Health
14.4 BenevolentAI
14.4.1 Company Overview
14.4.2 Role of BenevolentAI in the Global AI in Healthcare Market
14.4.3 Recent Developments
14.4.4 SWOT Analysis: BenevolentAI
14.5 Butterfly Network, Inc.
14.5.1 Company Overview
14.5.2 Role of Butterfly Network, Inc. in the Global AI in Healthcare Market
14.5.3 Recent Developments
14.5.4 SWOT Analysis: Butterfly Network, Inc.
14.6 Freenome
14.6.1 Company Overview
14.6.2 Role of Freenome in the Global AI in Healthcare Market
14.6.3 Recent Developments
14.6.4 SWOT Analysis: Freenome
14.7 General Electric Company
14.7.1 Company Overview
14.7.2 Role of General Electric Company in the Global AI in Healthcare Market
14.7.3 Recent Developments
14.7.4 Financials
14.7.5 SWOT Analysis: General Electric Company
14.8 International Business Machines Corporation (IBM)
14.8.1 Company Overview
14.8.2 Role of International Business Machines Corporation in the Global AI in Healthcare Market
14.8.3 Recent Developments
14.8.4 Financials
14.8.5 SWOT Analysis: International Business Machines Corporation
14.9 Koninklijke Philips N.V.
14.9.1 Company Overview
14.9.2 Role of Koninklijke Philips N.V. in the Global AI in Healthcare Market
14.9.3 Recent Developments
14.9.4 Financials
14.9.5 SWOT Analysis: Koninklijke Philips N.V.
14.10 Nuance Communications, Inc.
14.10.1 Company Overview
14.10.2 Role of Nuance Communications, Inc. in the Global AI in Healthcare Market
14.10.3 Recent Developments
14.10.4 Financials
14.10.5 SWOT Analysis: Nuance Communications, Inc.
14.11 Nvidia Corporation
14.11.1 Company Overview
14.11.2 Role of Nvidia Corporation in the Global AI in Healthcare Market
14.11.3 Recent Developments
14.11.4 Financials
14.11.5 SWOT Analysis: Nvidia Corporation
14.12 Olive
14.12.1 Company Overview
14.12.2 Role of Olive in the Global AI in Healthcare Market
14.12.3 Recent Developments
14.12.4 SWOT Analysis: Olive
14.13 Siemens Healthineers AG
14.13.1 Company Overview
14.13.2 Role of Siemens Healthineers AG in the Global AI in Healthcare Market
14.13.3 Recent Developments
14.13.4 Financials
14.13.5 SWOT Analysis: Siemens Healthineers AG
14.14 Viz.ai, Inc.
14.14.1 Company Overview
14.14.2 Role of Viz.ai, Inc. in the Global AI in Healthcare Market
14.14.3 Recent Developments
14.14.4 SWOT Analysis: Viz.ai, Inc.
14.15 Zebra Medical Vision Ltd
14.15.1 Company Overview
14.15.2 Role of Zebra Medical Vision Ltd in the Global AI in Healthcare Market
14.15.3 Recent Developments
14.15.4 SWOT Analysis: Zebra Medical Vision Ltd
Table 4.1: Global AI in Healthcare Market: Funding Scenario
Table 4.2: IMDRF Classification: SaMD Categories
Table 4.3: General Considerations for SaMDs
Table 4.4: Challenges Faced in MDR Implementation
Table 4.5: IMDRF Risk Classification: MDR
Table 4.6: Regulatory Guidelines in China
Table 4.7: Top Five CPCs for the Patents Filed During 2015-July 2020
Table 5.1: Global AI in Healthcare Market, Impact on AI Adoption
Table 5.2: Regional Impact of COVID-19
Table 6.1: Global AI in Healthcare Market: Key Companies
Table 6.2: Global AI in Healthcare Market, Competitive Benchmarking, Drug Discovery and Clinical Trials, 2019
Table 6.3: Global AI in Healthcare Market: Company Product Mapping Analysis
Table 6.4: Global AI in Healthcare Market: Business Models
Table 6.5: Global AI in Healthcare Market: Key Product Pipeline
Table 7.1: Factors Contributing to Diagnostic Errors in Primary Care
Table 11.1: Global AI in Healthcare Market: Technology Utilization by Patients
Table 11.2: Global AI in Healthcare Market: Technology Utilization by Patients
Table 12.1: Impact Analysis of Drivers and Restraints of the North America AI in Healthcare Market
Table 12.2: Impact Analysis of Drivers and Restraints of the Europe AI in Healthcare Market
Table 12.3: Impact Analysis of Drivers and Restraints of the Asia-Pacific AI in Healthcare Market
Table 12.4: Impact Analysis of Drivers and Restraints of the Rest-of-the-World AI in Healthcare Market
Figure 1: Global AI in Healthcare Market, 2019-2030
Figure 2: Key Applications of AI in Healthcare
Figure 3: Impact Analysis of Drivers and Restraints of the Global AI in Healthcare Market
Figure 4: Global AI in Healthcare Market, Funding Scenario, Q1-2018- Q3 2019
Figure 5: Global AI in Healthcare Market: Patent Analysis (by Year), January 2015-July 2020
Figure 6: Global AI in Healthcare Market, Share Analysis, 2019
Figure 7: Global AI in Healthcare Market, Share of Key Developments and Strategies, January 2015- September 2020
Figure 8: Global AI in Healthcare Market (by Application), 2019 Vs. 2030
Figure 9: Global AI in Healthcare Market (by Technology), 2019 vs. 2030
Figure 10: Global Emerging AI in Healthcare Market (by Region), 2019-2030
Figure 2.1: Global AI in Healthcare Market Segmentation
Figure 2.2: Regional AI in Healthcare Market Segmentation
Figure 3.1: Global AI in Healthcare Market, Research Methodology
Figure 3.2: Primary Research
Figure 3.3: Secondary Research
Figure 3.4: Total Number of Healthcare Company Profiles
Figure 3.5: Assumptions and Limitations
Figure 4.1: Global AI in Healthcare Market: Industry Structure
Figure 4.2: Global AI in Healthcare Market (Technologies Readiness Index)
Figure 4.3: AI/ML Workflow, TPLC Approach Proposed by FDA
Figure 4.4: Building an Integrated AI-Enabled Health Ecosystem
Figure 4.5: Global AI in Healthcare Market: Patent Analysis (by Country and Year), January 2015-July 2020
Figure 5.1: Global AI in Healthcare Market: COVID-19 Impact on AI-Adoption
Figure 5.2: Global AI in Healthcare Market: Key Developments During COVID-19 Pandemic
Figure 5.3: Global AI in Healthcare Market: Growth Trend
Figure 5.4: Global AI in Healthcare Market: Companies and Key Products During COVID-19
Figure 5.5: Global AI in Healthcare Market: Entry Barriers and Opportunities for Companies
Figure 6.1: Global AI in Healthcare Market, Share Analysis, 2019
Figure 6.2 Global AI in Healthcare Market Share Analysis for Medical Imaging and Diagnosis Autonomous Software Providers, 2019
Figure 6.3: Global AI in Healthcare Market, Share of Key Developments and Strategies January 2015-September 2020
Figure 6.4: Global AI in Healthcare Market, Key Developments (by Year) January 2015-September 2020
Figure 6.5: Global AI in Healthcare Market – Key Partnerships, Collaborations, and Agreements, January 2015-September 2020
Figure 6.6: Global AI in Healthcare Market, Key New Offerings, January 2015-September 2020
Figure 6.7: Global AI in Healthcare Market – Key Mergers and Acquisitions, January 2015-September 2020
Figure 6.8: Global AI in Healthcare Market – Key Funding Activities, January 2015-September 2020
Figure 6.9: Global AI in Healthcare Market – Key Regulatory and Legal Activities, January 2015-September 2020
Figure 6.10: Global AI in Healthcare Market Business Model Share Analysis, 2019
Figure 7.1: Benefits of AI-Enabled Healthcare IT Solutions for Patients
Figure 7.2: Some Applications of AI in Health Informatics
Figure 7.3: Remote Monitoring Devices Enabling Care at Home
Figure 7.4: AI and Robotics Combine to Benefit Several Areas in Healthcare
Figure 7.5: Impact Analysis of Drivers and Restraints of the Global AI in Healthcare Market
Figure 8.1: Global AI in Healthcare Market (by Product), $Million, 2019 and 2030
Figure 8.2: Global AI in Healthcare Market (AI-Integrated Hardware), $Million, 2019-2030
Figure 8.3: Global AI in Healthcare Market (Software and Services), $Million, 2019-2030
Figure 9.1: Global AI in Healthcare Market (by Technology), $Million, 2019 and 2030
Figure 9.2: Global AI in Healthcare Market (Machine Learning), $Million, 2019-2030
Figure 9.3: Global AI in Healthcare Market (Deep Learning), $Million, 2019-2030
Figure 9.4: Global AI in Healthcare Market (Computer Vision), $Million, 2019-2030
Figure 9.5: Global AI in Healthcare Market (Natural Language Processing), $Million, 2019-2030
Figure 9.6: Global AI in Healthcare Market (Other Technologies), $Million, 2019-2030
Figure 10.1: Global AI in Healthcare Market (by Application), $Million, 2019 and 2030
Figure 10.2: Global AI in Healthcare Market (Medical Imaging and Diagnosis), $Million, 2019-2030
Figure 10.3: Global AI in Healthcare Market (Virtual Assistance), $Million, 2019-2030
Figure 10.4: Global AI in Healthcare Market (Robot-Assisted Surgery), $Million, 2019-2030
Figure 10.5: Global AI in Healthcare Market (Drug Discovery and Clinical Trials), $Million, 2019-2030
Figure 10.6: Global AI in Healthcare Market (Data Management), $Million, 2019-2030
Figure 10.7: Global AI in Healthcare Market (Telemedicine), $Million, 2019-2030
Figure 10.8: Global AI in Healthcare Market (Remote Monitoring and Lifestyle Management, $Million, 2019-2030
Figure 10.9: Global AI in Healthcare Market (Other Applications), $Million, 2019-2030
Figure 11.1: Global AI in Healthcare Market (by End User), $Million, 2019 and 2030
Figure 11.2: Global AI in Healthcare Market (Healthcare Providers) $Million, 2019-2030
Figure 11.3: Global AI in Healthcare Market (Pharmaceutical Companies) $Million, 2019-2030
Figure 11.4: Global AI in Healthcare Market (Academic Institutes and Research Centers) $Million, 2019-2030
Figure 11.5: Global AI in Healthcare Market (Healthcare Insurance Companies) $Million, 2019-2030
Figure 11.6: Global AI in Healthcare Market (Patients) $Million, 2019-2030
Figure 11.7: Global AI in Healthcare Market (Other End Users) $Million, 2019-2030
Figure 12.1: Global AI in Healthcare Market (by Region), 2019-2030
Figure 12.2: Global AI in Healthcare Market (by Region), $Million, 2019-2030
Figure 12.3: North America AI in Healthcare Market, $Million, 2019-2030
Figure 12.4: North America AI in Healthcare Market (by Product), $Million, 2019-2030
Figure 12.5: North America AI in Healthcare Market (by End User), $Million, 2019-2030
Figure 12.6: North America AI in Healthcare Market, Share Analysis (by Country), 2019 and 2030
Figure 12.7: U.S. AI in Healthcare Market, $Million, 2019-2030
Figure 12.8: Canada AI in Healthcare Market, $Million, 2019-2030
Figure 12.9: Europe AI in Healthcare Market, $Million, 2019-2030
Figure 12.10: Europe AI in Healthcare Market (by Product), $Million, 2019-2030
Figure 12.11: Europe AI in Healthcare Market (by End User), $Million, 2019-2030
Figure 12.12: Europe AI in Healthcare Market Share Analysis (by Country), $Million, 2019 and 2030
Figure 12.13: Germany AI in Healthcare Market, $Million, 2019-2030
Figure 12.14: France AI in Healthcare Market, $Million, 2019-2030
Figure 12.15: U.K. AI in Healthcare Market, $Million, 2019-2030
Figure 12.16: Italy AI in Healthcare Market, $Million, 2019-2030
Figure 12.17: Spain AI in Healthcare Market, $Million, 2019-2030
Figure 12.18: Rest-of- Europe AI in Healthcare Market, $Million, 2019-2030
Figure 12.19: Asia-Pacific AI in Healthcare Market, $Million, 2019-2030
Figure 12.20: Asia-Pacific AI in Healthcare Market (by Product), $Million, 2019-2030
Figure 12.21: Asia-Pacific AI in Healthcare Market (by End User), $Million, 2019-2030
Figure 12.22: Asia-Pacific AI in Healthcare Market Share Analysis (by Country), 2019 and 2030
Figure 12.23: China AI in Healthcare Market, $Million, 2019-2030
Figure 12.24: Japan AI in Healthcare Market, $Million, 2019-2030
Figure 12.25: South Korea AI in Healthcare Market, $Million, 2019-2030
Figure 12.26: Australia AI in Healthcare Market, $Million, 2019-2030
Figure 12.27: India AI in Healthcare Market, $Million, 2019-2030
Figure 12.28: Rest-of-Asia-Pacific AI in Healthcare Market, $Million, 2019-2030
Figure 12.29: Rest-of-the-World AI in Healthcare Market, $Million, 2019-2030
Figure 12.30: Rest-of-the-World AI in Healthcare Market (by Product), $Million, 2019-2030
Figure 12.31: Rest-of-the-World AI in Healthcare Market (by End User), $Million, 2019-2030
Figure 12.32: Rest-of-the-World AI in Healthcare Market Share Analysis (by Country), 2019 and 2030
Figure 12.33: Brazil AI in Healthcare Market, $Million, 2019-2030
Figure 12.34: Mexico AI in Healthcare Market, $Million, 2019-2030
Figure 12.35: Argentina AI in Healthcare Market, $Million, 2019-2030
Figure 12.36: Rest-of-Rest-of-the-World AI in Healthcare Market, $Million, 2019-2030
Figure 14.1: Activ Surgical Inc.: Product Offerings for the Global AI in Healthcare Market
Figure 14.2: SWOT Analysis: Activ Surgical Inc.
Figure 14.3: Atomwise, Inc.: Product Offerings for the Global AI in Healthcare Market
Figure 14.4: SWOT Analysis: Atomwise, Inc.
Figure 14.5: Babylon Health: Product Offerings for the Global AI in Healthcare Market
Figure 14.6: SWOT Analysis: Babylon Health
Figure 14.7: BenevolentAI: Product Offerings for the Global AI in Healthcare Market
Figure 14.8: SWOT Analysis: BenevolentAI
Figure 14.9: Butterfly Network, Inc.: Product Offerings for the Global AI in Healthcare Market
Figure 14.10: SWOT Analysis: Butterfly Network, Inc.
Figure 14.11: Freenome: Product Offerings for the Global AI in Healthcare Market
Figure 14.12: SWOT Analysis: Freenome
Figure 14.13: General Electric Company: Product Offerings for the Global AI in Healthcare Market
Figure 14.14: General Electric Company: Overall Financials, 2017-2019
Figure 14.15: General Electric Company: Revenue (by Segment), 2017-2019
Figure 14.16: General Electric Company: Revenue (by Region), 2017-2019
Figure 14.17: SWOT Analysis: General Electric Company
Figure 14.18: International Business Machines Corporation: Product Offerings for the Global AI in Healthcare Market
Figure 14.19: International Business Machines Corporation: Overall Financials, 2017-2019
Figure 14.20: International Business Machines Corporation: Revenue (by Segment), 2017-2019
Figure 14.21: International Business Machines Corporation (IBM): Revenue (by Region), 2017-2019
Figure 14.22: SWOT Analysis: International Business Machines Corporation
Figure 14.23: Koninklijke Philips N.V.: Product Offerings for the Global AI in Healthcare Market
Figure 14.24: Koninklijke Philips N.V.: Overall Financials, 2017-2019
Figure 14.25: Koninklijke Philips N.V.: Revenue (by Segment), 2017-2019
Figure 14.26: Koninklijke Philips N.V.: Revenue (by Region), 2017-2019
Figure 14.27: SWOT Analysis: Koninklijke Philips N.V.
Figure 14.28: Nuance Communications, Inc.: Product Offerings for the Global AI in Healthcare Market
Figure 14.29: Nuance Communications, Inc.: Overall Financials, 2017-2019
Figure 14.30: Nuance Communications, Inc.: Revenue (by Segment), 2017-2019
Figure 14.31: Nuance Communications, Inc.: Revenue (by Region), 2017-2019
Figure 14.32: SWOT Analysis: Nuance Communications, Inc.
Figure 14.33: Nvidia Corporation: Product Offerings for the Global AI in Healthcare Market
Figure 14.34: NVIDIA Corporation: Overall Financials, 2017-2019
Figure 14.35: NVIDIA Corporation: Revenue (by Segment), 2017-2019
Figure 14.36: NVIDIA Corporation: Revenue (by Region), 2017-2019
Figure 14.37: SWOT Analysis: Nvidia Corporation
Figure 14.38: Olive: Product Offerings for the Global AI in Healthcare Market
Figure 14.39: SWOT Analysis: Olive
Figure 14.40: Siemens Healthineers AG: Product Offerings for the Global AI in Healthcare Market
Figure 14.41: Siemens Healthineers AG: Overall Financials, 2017-2019
Figure 14.42: Siemens Healthineers AG: Revenue (by Segment), 2017-2019
Figure 14.43: Siemens Healthineers AG: Revenue (by Region), 2017-2019
Figure 14.44: SWOT Analysis: Siemens Healthineers AG
Figure 14.45: Viz.ai, Inc.: Product Offerings for the Global AI in Healthcare Market
Figure 14.46: SWOT Analysis: Viz.ai, Inc.
Figure 14.47: Zebra Medical Vision Ltd: Product Offerings for the Global AI in Healthcare Market
Figure 14.48: SWOT Analysis: Zebra Medical Vision Ltd
Report Description
|
Market Report Coverage - AI in Healthcare |
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|
Base Year |
2019 |
Market Size in 2019 |
$1,927.2 Million |
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Forecast Period |
2021-2030 |
Value Projection and Estimation by 2030 |
$35,892.2 Million |
|
CAGR During Forecast Period |
24.40% |
Number of Tables |
21 |
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Number of Pages |
253 |
Number of Figures |
151 |
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Research Hours |
1000 |
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Market Segmentation |
• Product Type (AI-Integrated Hardware and Software and Services) • Technology (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Others) • Application (Medical Imaging and Diagnosis, Data Management, Telemedicine, Remote Monitoring and Lifestyle Management, Robot-Assisted Surgery, Drug Discover and Clinical Trials, Virtual Assistance, and Others) • End User (Patients, Healthcare Providers, Academic Institutes and Research Centers, Pharmaceutical Companies, Healthcare Insurance, and Others) |
||
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Regional Segmentation |
• North America • Europe • Asia-Pacific • Rest-of-the-World |
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Growth Drivers |
• Growing Need for Patient-Centric Care • Growing Applications of AI in Healthcare Informatics • Shortage of Healthcare Workforce • Increasing Complexities of Clinical Decision Making • Progress in Healthcare IT |
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|
Market Restraints |
• Lack of Clearly Defined Regulations • Data Security and Privacy Concerns • Barriers to Physician’s Adoption of AI • Legal Implications of AI Systems |
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Market Opportunities |
• Capitalizing on Unmet Clinical Demand • Enabling Care At-Home: Remote Monitoring • Leveraging Rapid Development in Deep Learning • Unlocking the Combined Potential of AI and Robotics |
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|
Key Companies Profiled |
Activ Surgical, Inc., Atomwise, Inc., Babylon Health, BenevolentAI, Butterfly Network, Inc., Freenome, General Electric Company, International Business Machines Corporation (IBM), Koninklijke Philips N.V., Nuance Communications, Inc., Nvidia Corporation, Olive, Siemens Healthineers AG, Viz.ai, Inc., and Zebra Medical Vision Ltd. |
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Key Questions Answered in this Report:
• What are the key regulations governing AI adoption in healthcare across various regions?
• Which start-ups received significant funding in 2020?
• What has been the impact of the COVID-19 pandemic on global AI in healthcare market?
• What is the anticipated futuristic impact of COVID-19 on AI adoption in the global healthcare market?
• What are the opportunities for AI healthcare startups in healthcare sector during the COVID-19 pandemic?
• Who are the leading players in global AI in healthcare market?
• What are the key business models prevalent in global AI in healthcare market?
• What type of products are anticipated to be launched during the forecast period 2021-2030?
• What are the key market drivers, restraints, and growth opportunities for the market?
• What was the market size for the various product types in the global AI in healthcare market in 2020? How are the product types anticipated to grow during the forecast period 2021-2030?
• What was the market size for various AI-enabled applications in healthcare in 2020? Which application is anticipated to grow with the highest CAGR during the forecast period 2021-2030?
• What was the market size of AI technologies, such as machine learning, deep learning, natural language processing, and computer vision in 2020? How are the technologies anticipated to grow during the forecast period, 2021-2030?
• Which region contributes the major share to the global AI in healthcare market? Which region holds significant growth potential during the forecast period 2021-2030?
Market Overview
Global AI in Healthcare Market Forecast (2021-2030)
Key USPs of the Report
Following are some of the key contents of the report:
• Funding Scenario
This section encompasses a description of the current funding landscape in the global AI in healthcare space for key players.
• Technology Readiness Index
This section is intended to aid the readers in identifying novel technology opportunities.
• Business Model Analysis
This section comprises information on the key business models deployed in the market by leading players.
• Impact of COVID-19
This section of the report encompasses the following:
o Impact on AI adoption
o Future impact (Short-, mid-, and long-term)
o Key developments during the COVID-19 pandemic
In addition, the report provides:
• A detailed analysis and growth forecast (2021-2030) for different market segments
• Recent developments and trends in the global market landscape
• Factors promoting and inhibiting the market growth
• Case studies to assess the delivery models and strategies adopted by some of the highly funded players in the market
Expert Quote
“At present, many companies refrain from venturing into this field as in many cases, companies pursue R&D without knowing whether their concept makes for a viable business model. Currently, most of the companies have their own unique model. However, four years down the line, the competition will be more intense, and the market would witness a repetition of existing services and offerings”.
Scope of the Global AI in Healthcare Market
The purpose of the study is to enable the reader to gain a holistic view of the global AI in healthcare market, by each of the segments mentioned above.
The report constitutes an in-depth analysis of the global AI in healthcare market, including a thorough analysis of the applications. The study also provides market and business-related information on various products, applications, technologies, and end users. The report considers integrated devices, software, and services related to AI in healthcare.
Key Companies in the Global AI in Healthcare Market
Some of the key players contributing to the global AI in Healthcare market include Activ Surgical, Inc., Atomwise, Inc., Babylon Health, BenevolentAI, Butterfly Network, Inc., Freenome, General Electric Company, International Business Machines Corporation (IBM), Koninklijke Philips N.V., Nuance Communications, Inc., Nvidia Corporation, Olive, Siemens Healthineers AG, Viz.ai, Inc., and Zebra Medical Vision Ltd.
Global AI in Healthcare Market
Analysis and Forecast, 2021-2030
Some Faq's
Frequently Asked Questions
The artificial intelligence in healthcare is expected to grow at a CAGR of 24.40% during the forecast period from 2021 to 2030.
Factors driving the growth of the market include growing need for patient-centric care, growing applications of ai in healthcare informatics, shortage of healthcare workforce, increasing complexities of clinical decision making, and progress in healthcare IT.
Application for which AI in healthcare can be used include medical imaging and diagnosis, data management, telemedicine, remote monitoring and lifestyle management, robot-assisted surgery, drug discover and clinical trials, virtual assistance, and others.
End-users that are benefitted with the use of AI in healthcare include patients, healthcare providers, academic institutes and research centers, pharmaceutical companies, healthcare insurance, and others.
Key companies operating in the market include Activ Surgical, Inc., Atomwise, Inc., Babylon Health, BenevolentAI, Butterfly Network, Inc., Freenome, General Electric Company, International Business Machines Corporation (IBM), Koninklijke Philips N.V., Nuance Communications, Inc., Nvidia Corporation, Olive, Siemens Healthineers AG, Viz.ai, Inc., and Zebra Medical Vision Ltd.
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