Product Code: 1557
Title:
Healthcare Artificial Intelligence Market Size By Application (Medical Imaging & Diagnosis, Drug Discovery, Therapy Planning, Hospital Workflow, Wearables, Virtual Assistants), Industry Analysis Report, Regional Outlook, Application Potential, Price Trends, Competitive Market Share & Forecast, 2020 - 2026.
The healthcare artificial intelligence market is anticipated to witness significant growth over the coming time period owing to increasing use of technology across numerous medical application verticals such as drug discovery, virtual assistants, therapy planning, and wearables among many others. The adoption of AI in healthcare is rapidly growing, thereby drastically changing the shape of healthcare delivery.
Artificial intelligence in healthcare generally refers to hospitals and doctors accessing huge amount of data sets of life-saving information. This further comprises of treatment methods and their results, speed of care gathered across numerous patients, geographical locations, survival rates as well as interconnected health conditions. AI also has the potential to change numerous aspects of patient care, and administrative processes within pharmaceutical organizations, payer, and provider.
Artificial intelligence is being used across numerous settings including research facilities, clinical laboratories, and hospitals in key disease areas such as cardiology, neurology, and cancer. Some of the popular techniques of AI include ML methods for un-structured data, like natural language processing, modern deep learning, neural network, and classical support vector machine for structured data.
In comparison to traditional analytics and other clinical decision-making techniques, use of artificial intelligence in healthcare offers various advantages. Learning algorithms could become more accurate as well as precise since they interact with training data, thus letting individuals to gain unparalleled insights into outcomes of patients, treatment variability, care processes, and diagnostics.
At present, key market players are launching new products in order to increase the market penetration. Citing an instance, in December 2020, GE Healthcare, a leading manufacturing company, reportedly announced that it would soon let customers to find, try as well as purchase software driven by AI via online channels including an assortment of third-party developers. As per the firm, the Edison Marketplace model could aid to change the firm's normal process of procurement. This model would further enable potential users to utilize the artificial intelligence software in advance.
The healthcare Artificial Intelligence market is segmented in terms of application and regional landscape.
In terms of application, the overall healthcare artificial intelligence market is classified into virtual assistants, wearables, hospital workflow, therapy planning, drug discovery, medical imaging & diagnosis, and others. Among these, therapy planning segment will witness tremendous growth over the coming years. In 2019, the segment accounted for $219.5 million industry share of the overall market.
From a regional frame of reference, in 2019, Latin America healthcare AI market accounted market revenue of more than $52.0 million and will continue to showcase similar growth trend over the coming time period. Meanwhile, healthcare AI market in Middle East & Africa is expected to show steady growth of about 43.4% over the forecast timeframe.
Table of Contents
Chapter 1 Methodology
- 1.1 Market definitions
- 1.2 Base estimates & working
- 1.3 Forecast calculations
- 1.4 Data validation
- 1.5 Data Sources
- 1.5.1 Secondary
- 1.5.1.1 Paid sources
- 1.5.1.2 Unpaid sources
- 1.5.2 Primary
Chapter 2 Executive Summary
- 2.1 Healthcare artificial intelligence industry 360 degree synopsis, 2015-2026
- 2.1.1 Business trends
- 2.1.2 Application trends
- 2.1.3 Regional trends
Chapter 3 Healthcare Artificial Intelligence Industry Insights
- 3.1 Industry segmentation
- 3.2 Industry landscape, 2015 - 2026
- 3.3 Industry impact forces
- 3.3.1 Growth drivers
- 3.3.1.1 Rising adoption of healthcare artificial intelligence in research areas
- 3.3.1.2 Increasing range of future applications
- 3.3.1.3 Advancements in big data analytics
- 3.3.1.4 Favorable funding scenario in China and Singapore
- 3.3.1.5 Potential to increase quality of care delivery
- 3.3.2 Industry pitfalls & challenges
- 3.3.2.1 High initial capital requirement
- 3.3.2.2 Large scale human unemployment
- 3.3.2.3 Difficulty in deployment
- 3.4 COVID-19 impact analysis
- 3.5 Start-up scenario
- 3.6 Healthcare artificial intelligence projects
- 3.6.1 Microsoft announced new AI powered health bot project
- 3.6.2 iCarbonX heads consortium using artificial
- 3.6.3 Orbital Media develops cutting edge artificial intelligence technologies
- 3.6.4 Partners HealthCare and GE collaborates
- 3.7 Medical and technological advancements
- 3.7.1 U.S.
- 3.7.2 Europe
- 3.7.3 Asia Pacific
- 3.8 Regulatory landscape
- 3.9 Growth potential chart
- 3.10 Porter's analysis
- 3.11 Competitive landscape, 2019
- 3.11.1 Company matrix analysis, 2019
- 3.11.2 Patent analysis
- 3.12 PESTEL analysis
Chapter 4 Healthcare Artificial Intelligence Market, By Application
- 4.1 Key segment trends
- 4.2 Medical imaging & diagnosis
- 4.2.1 Market size, by region, 2015 - 2026 (USD Million)
- 4.3 Drug discovery
- 4.3.1 Market size, by region, 2015 - 2026 (USD Million)
- 4.4 Therapy planning
- 4.4.1 Market size, by region, 2015 - 2026 (USD Million)
- 4.5 Hospital workflow
- 4.5.1 Market size, by region, 2015 - 2026 (USD Million)
- 4.6 Wearables
- 4.6.1 Market size, by region, 2015 - 2026 (USD Million)
- 4.7 Virtual assistants
- 4.7.1 Market size, by region, 2015 - 2026 (USD Million)
- 4.8 Others
- 4.8.1 Market size, by region, 2015 - 2026 (USD Million)
Chapter 5 Healthcare Artificial Intelligence Market, By Region
- 5.1 Key regional trends
- 5.2 North America
- 5.2.1 Market size, by country, 2015 - 2026 (USD Million)
- 5.2.2 Market size, by application, 2015 - 2026 (USD Million)
- 5.2.3 U.S.
- 5.2.3.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.2.3.2
- 5.2.4 Canada
- 5.2.4.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.3 Europe
- 5.3.1 Market size, by country, 2015 - 2026 (USD Million)
- 5.3.2 Market size, by application, 2015 - 2026 (USD Million)
- 5.3.3 Germany
- 5.3.3.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.3.4 UK
- 5.3.4.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.3.5 France
- 5.3.5.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.3.6 Spain
- 5.3.6.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.3.7 Italy
- 5.3.7.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.3.8 Russia
- 5.3.8.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.3.9 The Netherlands
- 5.3.9.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.3.10 Sweden
- 5.3.10.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.4 Asia Pacific
- 5.4.1 Market size, by country, 2015 - 2026 (USD Million)
- 5.4.2 Market size, by application, 2015 - 2026 (USD Million)
- 5.4.3 China
- 5.4.3.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.4.4 Japan
- 5.4.4.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.4.5 India
- 5.4.5.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.4.6 Australia
- 5.4.6.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.4.7 Singapore
- 5.4.7.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.5 Latin America
- 5.5.1 Market size, by country, 2015 - 2026 (USD Million)
- 5.5.2 Market size, by application, 2015 - 2026 (USD Million)
- 5.5.3 Brazil
- 5.5.3.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.5.4 Mexico
- 5.5.4.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.6 Middle East and Africa
- 5.6.1 Market size, by country, 2015 - 2026 (USD Million)
- 5.6.2 Market size, by application, 2015 - 2026 (USD Million)
- 5.6.3 South Africa
- 5.6.3.1 Market size, by application, 2015 - 2026 (USD Million)
- 5.6.4 Saudi Arabia
- 5.6.4.1 Market size, by application, 2015 - 2026 (USD Million)
Chapter 6 Company Profiles
- 6.1 Competitive dashboard, 2019
- 6.2 AiCure
- 6.2.1 Business overview
- 6.2.2 Financial data
- 6.2.3 Product landscape
- 6.2.4 Strategic outlook
- 6.2.5 SWOT analysis
- 6.3 APIXIO, Inc
- 6.3.1 Business overview
- 6.3.2 Financial data
- 6.3.3 Product landscape
- 6.3.4 Strategic outlook
- 6.3.5 SWOT analysis
- 6.4 Atomwise, Inc
- 6.4.1 Business overview
- 6.4.2 Financial data
- 6.4.3 Product landscape
- 6.4.4 Strategic outlook
- 6.4.5 SWOT analysis
- 6.5 Butterfly Network, Inc
- 6.5.1 Business overview
- 6.5.2 Financial data
- 6.5.3 Product landscape
- 6.5.4 Strategic outlook
- 6.5.5 SWOT analysis
- 6.6 Cyrcadia Health Inc
- 6.6.1 Business overview
- 6.6.2 Financial data
- 6.6.3 Product landscape
- 6.6.4 Strategic outlook
- 6.6.5 SWOT analysis
- 6.7 Enlitic, Inc
- 6.7.1 Business overview
- 6.7.2 Financial data
- 6.7.3 Product landscape
- 6.7.4 Strategic outlook
- 6.7.5 SWOT analysis
- 6.8 IBM (Watson Health)
- 6.8.1 Business overview
- 6.8.2 Financial data
- 6.8.3 Product landscape
- 6.8.4 Strategic outlook
- 6.8.5 SWOT analysis
- 6.9 iCarbonX
- 6.9.1 Business overview
- 6.9.2 Financial data
- 6.9.3 Product landscape
- 6.9.4 Strategic outlook
- 6.9.5 SWOT analysis
- 6.10 Insilico Medicine Inc
- 6.10.1 Business overview
- 6.10.2 Financial data
- 6.10.3 Product landscape
- 6.10.4 Strategic outlook
- 6.10.5 SWOT analysis
- 6.11 NVIDIA Corporation
- 6.11.1 Business overview
- 6.11.2 Financial data
- 6.11.3 Product landscape
- 6.11.4 Strategic outlook
- 6.11.5 SWOT analysis
- 6.12 Modernizing Medicine
- 6.12.1 Business overview
- 6.12.2 Financial data
- 6.12.3 Product landscape
- 6.12.4 Strategic outlook
- 6.12.5 SWOT analysis
- 6.13 OmeCare Inc
- 6.13.1 Business overview
- 6.13.2 Financial data
- 6.13.3 Product landscape
- 6.13.4 Strategic outlook
- 6.13.5 SWOT analysis
- 6.14 Sens.ly Inc
- 6.14.1 Business overview
- 6.14.2 Financial data
- 6.14.3 Product landscape
- 6.14.4 Strategic outlook
- 6.14.5 SWOT analysis
- 6.15 Sophia Genetics
- 6.15.1 Business overview
- 6.15.2 Financial data
- 6.15.3 Product landscape
- 6.15.4 Strategic outlook
- 6.15.5 SWOT analysis
- 6.16 Welltok
- 6.16.1 Business overview
- 6.16.2 Financial data
- 6.16.3 Product landscape
- 6.16.4 Strategic outlook
- 6.16.5 SWOT analysis
- 6.17 Zebra Medical Vision Ltd
- 6.17.1 Business overview
- 6.17.2 Financial data
- 6.17.3 Product landscape
- 6.17.4 Strategic outlook
- 6.17.5 SWOT analysis
- 6.18 Johnson & Johnson
- 6.18.1 Business overview
- 6.18.2 Financial data
- 6.18.3 Product landscape
- 6.18.4 Strategic outlook
- 6.18.5 SWOT analysis
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