Industry Insights
The global Healthcare Artificial Intelligence market is expected to grow at an anticipated CAGR of 8.9% over the forecast period. Healthcare artificial intelligence mainly uses computer techniques, algorithms and procedures to suggest treatments as well as to perform medical procedures on patients.
The global Healthcare Artificial Intelligence market is segmented on the basis of Type and Application. The global Healthcare Artificial Intelligence market is segmented based on Type as Type I and Type II. Based on Application the global Healthcare Artificial Intelligence market is segregated as Medical Imaging & Diagnosis, Drug Discovery, and Other.
The regional outlook on the global Healthcare Artificial Intelligence market covers regions, such as North America, Europe, Asia-Pacific, and Rest of the World. The Healthcare Artificial Intelligence market for each region is further bifurcated for major countries including the U.S., Canada, Germany, the U.K., France, Italy, China, India, Japan, Brazil, South Africa, and others.
Competitive Landscape
The technique is relatively new and possesses huge potential and has thus spurred intense competition among competitors. The global Healthcare Artificial Intelligence market is highly competitive in nature with major players including IBM Watson Health, AiCure, Atomwise, Cyrcadia Health, Lifegraph, Modernizing Medicine, Sensely, Zebra Medical Vision, Sophia Genetics, iCarbonX, Welltok, Butterfly Network, APIXIO, Pathway Genomics, Enlitic, Insilico Medicine, and others. The report covers competitive analysis on the key market share holders. The companies are focused on several expansion and growth strategies to enhance their footprint in the Healthcare Artificial Intelligence market. Market players are also involved in value chain integration gain competitive advantage.
Report Scope:
The Healthcare Artificial Intelligence market report scope covers the in-depth business analysis considering major market dynamics, forecast parameters, and price trends for the industry growth. The report forecasts market sizing at global, regional and country levels, providing comprehensive outlook of industry trends in each market segments and sub-segments from 2017 to 2024. The market segmentations include,
Healthcare Artificial Intelligence Market, By Type
• Type I
• Type II
Healthcare Artificial Intelligence Market, By Application
• Medical Imaging & Diagnosis
• Drug Discovery
• Other
Healthcare Artificial Intelligence Market, By Region
• North America
• Europe
• Asia-Pacific
• Rest of the World
The report scope also includes competitive landscape covering the competitive analysis, strategy analysis and company profiles of the major market players. The companies profiled in the report include IBM Watson Health, AiCure, Atomwise, Cyrcadia Health, Lifegraph, Modernizing Medicine, Sensely, Zebra Medical Vision, Sophia Genetics, iCarbonX, Welltok, Butterfly Network, APIXIO, Pathway Genomics, Enlitic, Insilico Medicine, and others. Company profiles cover company overview, product landscape, financial overview, and strategy analysis.
Report Highlights
• Global Healthcare Artificial Intelligence market sizes from 2017 to 2024
• Market growth projections through 2024 and the resultant market forecast for 2024
• Impact of the market dynamics including market drivers, restraints and opportunities in the market size
• Key industry trends, product trends, and application trends
• Major driving/ leading segmentations, regions and countries in the global Healthcare Artificial Intelligence market
• Competitive analysis with comprehensive company profiles of the leading industry players
• In-depth analysis on growth and expansion strategies adopted by market players and their resulting effect on market growth and competition
Report Customizations
The customization research services cover the additional custom report features such as additional regional and country level analysis as per the client requirements.
Table of Contents
1. Introduction
1.1 Key Insights
1.2 Report Overview
1.3 Markets Covered
1.4 Stakeholders
2. Research Methodology
2.1 Research Scope
2.2 Market Research Process
2.3 Research Data Analysis
2.4.1 Secondary Research
2.4.2 Primary Research
2.4.3 Models for Estimation
2.5 Market Size Estimation
2.5.1 Bottom-Up Approach - Segmental Market Analysis
2.5.2 Top-Down Approach - Parent Market Analysis
3. Executive Summary
4. Market Overview
4.1 Introduction
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.2.4 Challenges
4.2 Porter's Five Force Analysis
5. Healthcare Artificial Intelligence Market, By Type
5.1 Introduction
5.2 Type I
5.2.1 Market Overview
5.2.2 Market Size and Forecast
5.3 Type II
5.3.1 Market Overview
5.3.2 Market Size and Forecast
6. Healthcare Artificial Intelligence Market, By Application
6.1 Introduction
6.2 Medical Imaging & Diagnosis
6.2.1 Market Overview
6.2.2 Market Size and Forecast
6.3 Drug Discovery
6.3.1 Market Overview
6.3.2 Market Size and Forecast
6.4 Other
6.4.1 Market Overview
6.4.2 Market Size and Forecast
7. Healthcare Artificial Intelligence Market, By Geography
7.1 Introduction
7.2 North America
7.2.1 North America Healthcare Artificial Intelligence, By Type
7.2.2 North America Healthcare Artificial Intelligence, By Application
7.3 Europe
7.3.1 Europe Healthcare Artificial Intelligence, By Type
7.3.2 Europe Healthcare Artificial Intelligence, By Application
7.4 Asia-Pacific
7.4.1 Asia-Pacific Healthcare Artificial Intelligence, By Type
7.4.2 Asia-Pacific Healthcare Artificial Intelligence, By Application
7.5 Rest of the World
7.5.1 Rest of the World Healthcare Artificial Intelligence, By Type
7.5.2 Rest of the World Healthcare Artificial Intelligence, By Application
8. Competitive Insights
8.1 Key Insights
8.2 Company Market Share Analysis
8.3 Strategic Outlook
8.3.1 Mergers & Acquisitions
8.3.2 New Product Development
8.3.3 Portfolio/Production Capacity Expansions
8.3.4 Joint Ventures, Collaborations, Partnerships & Agreements
8.3.5 Others
9. Company Profiles
9.1 IBM Watson Health
9.1.1 Company Overview
9.1.2 Product/Service Landscape
9.1.3 Financial Overview
9.1.4 Recent Developments
9.2 AiCure
9.2.1 Company Overview
9.2.2 Product/Service Landscape
9.2.3 Financial Overview
9.2.4 Recent Developments
9.3 Atomwise
9.3.1 Company Overview
9.3.2 Product/Service Landscape
9.3.3 Financial Overview
9.3.4 Recent Developments
9.4 Cyrcadia Health
9.4.1 Company Overview
9.4.2 Product/Service Landscape
9.4.3 Financial Overview
9.4.4 Recent Developments
9.5 Lifegraph
9.5.1 Company Overview
9.5.2 Product/Service Landscape
9.5.3 Financial Overview
9.5.4 Recent Developments
9.6 Modernizing Medicine
9.6.1 Company Overview
9.6.2 Product/Service Landscape
9.6.3 Financial Overview
9.6.4 Recent Developments
9.7 Sensely
9.7.1 Company Overview
9.7.2 Product/Service Landscape
9.7.3 Financial Overview
9.7.4 Recent Developments
9.8 Zebra Medical Vision
9.8.1 Company Overview
9.8.2 Product/Service Landscape
9.8.3 Financial Overview
9.8.4 Recent Developments
9.9 Sophia Genetics
9.9.1 Company Overview
9.9.2 Product/Service Landscape
9.9.3 Financial Overview
9.9.4 Recent Developments
9.10 iCarbonX
9.10.1 Company Overview
9.10.2 Product/Service Landscape
9.10.3 Financial Overview
9.10.4 Recent Developments
9.11 Welltok
9.11.1 Company Overview
9.11.2 Product/Service Landscape
9.11.3 Financial Overview
9.11.4 Recent Developments
9.12 Butterfly Network
9.12.1 Company Overview
9.12.2 Product/Service Landscape
9.12.3 Financial Overview
9.12.4 Recent Developments
9.13 APIXIO
9.13.1 Company Overview
9.13.2 Product/Service Landscape
9.13.3 Financial Overview
9.13.4 Recent Developments
9.14 Pathway Genomics
9.14.1 Company Overview
9.14.2 Product/Service Landscape
9.14.3 Financial Overview
9.14.4 Recent Developments
9.15 Enlitic
9.15.1 Company Overview
9.15.2 Product/Service Landscape
9.15.3 Financial Overview
9.15.4 Recent Developments
9.16 Insilico Medicine
9.16.1 Company Overview
9.16.2 Product/Service Landscape
9.16.3 Financial Overview
9.16.4 Recent Developments
SDMR employs a three way data triangulation approach to arrive at market estimates. We use primary research, secondary research and data triangulation by top down and bottom up approach
Secondary Research:
Our research methodology involves in-depth desk research using various secondary sources. Data is gathered from association/government publications/databases, company websites, press releases, annual reports/presentations/sec filings, technical papers, journals, research papers, magazines, conferences, tradeshows, and blogs.
Key Data Points through secondary research-
Macro-economic data points
Import Export data
Identification of major market trends across various applications
Primary understanding of the industry for both the regions
Competitors analysis for the production capacities, key production sites, competitive landscape
Key customers
Production Capacity
Pricing Scenario
Cost Margin Analysis
Key Data Points through primary research-
Major factors driving the market and its end application markets
Comparative analysis and customer analysis
Regional presence
Collaborations or tie-ups
Annual Production, and sales
Profit Margins
Average Selling Price
Data Triangulation:
Data triangulation is done using top down and bottom approaches. However, to develop accurate market sizing estimations, both the methodologies are used to accurately arrive at the market size. Insert Image
