Artificial Intelligence (Ai) in Medical Diagnostics Market by Component (Software, Service), Application (In Vivo, Radiology, OBGY,MRI, CT, Ultrasound, IVD), End User (Hospital, Diagnostic Laboratory, Diagnostic Imaging Center)- Global Forecast to 2030
Market Overview
Fatpos Global has released a report titled Artificial Intelligence (Ai) in Medical Diagnostics Market - Analysis of Market Size, Share & Trends for 2014 - 2020 and Forecasts to 2031. According to a study by Fatpos Global, is anticipated to reachUSD 3,868 million by 2030 from USD 505 million in 2020, at a CAGR of 50.2%. According to the report, emphasizes on the detailed understanding of some decisive factors such as size, share, sales, forecast trends, supply, production, demands, industry and CAGR in order to provide a comprehensive outlook of the global market
Artificial Intelligence (Ai) in Medical Diagnostics Market Market: Key Players
Microsoft Corporation (US),
NVIDIA (US),
IBM (US),
Intel (US),
Siemens Healthineers (Germany)
, GE Healthcare (US),
Digital Diagnostics (US),
Xilinx (US), InformAI (US),
Enlitic (US), Day Zero Diagnostics (US),
Aidence (Netherlands),
Butterfly Network, Inc.
(US), Prognos (US),
Zebra Medical Vision (Israel),
Viz.ai (US),
Quibin (Spain),
Qure.ai (India),
Therapixel (France),
and HeartFlow (US).
Segmentation
By Component
Software
Services
By Application
In Vivo Diagnostics
By Speciality
Radiology
Cardiology
Neurology
Obstretics/ Gynecology
Opthalmology
Others
By Modalities
MRI
CT scan’
X rays
Ultrasound
Others
In Vitro Diagnostics
By End User
Hospitals
Diagnostic Imaging Centers
Diagnostic Laboratories
Others
By Region
North America
US
Canada
Europe
Germany
UK
France
Rest of Europe (RoE)
Asia Pacific
Japan
China
India
Rest of APAC (RoAPAC)
RoW
Artificial Intelligence (Ai) in Medical Diagnostics Market Market Dynamics
Artificial Intelligence (Ai) in Medical Diagnostics Market Market Size
Supply & Demand
Current Trends/Issues/Challenges
Competition & Companies Involved in the Market
Value Chain of the Market
Market Drivers and Restraints
The report sheds light on various aspects and answers pertinent questions on the market. Some of the important ones are:
COVID-19 pre and post business impact analysis
Detailed overview of the parent market
Changing market dynamics in the industry
In-depth market segmentation
What is the Artificial Intelligence (Ai) in Medical Diagnostics Market Market growth?
Which segment accounted for the largest Artificial Intelligence (Ai) in Medical Diagnostics Market Market share?
Who are the key players in the Griddles Market?
Historical, current and projected market size in terms of volume and value
Recent industry trends and developments
Competitive landscape
Strategies of key players and products offered
Potential and niche segments, geographical regions exhibiting promising growth
A neutral perspective on market performance
Must-have information for market players to sustain and enhance their market footprint
Note: Although care has been taken to maintain the highest levels of accuracy in Fatpos Global’s reports, recent market/vendor-specific changes may take time to reflect in the analysis.
Fatpos Global has released a report titled Artificial Intelligence (Ai) in Medical Diagnostics Market - Analysis of Market Size, Share & Trends for 2014 - 2020 and Forecasts to 2031. According to a study by Fatpos Global, is anticipated to reachUSD 3,868 million by 2030 from USD 505 million in 2020, at a CAGR of 50.2%. According to the report, emphasizes on the detailed understanding of some decisive factors such as size, share, sales, forecast trends, supply, production, demands, industry and CAGR in order to provide a comprehensive outlook of the global market
Artificial Intelligence (Ai) in Medical Diagnostics Market Market: Key Players
Microsoft Corporation (US),
NVIDIA (US),
IBM (US),
Intel (US),
Siemens Healthineers (Germany)
, GE Healthcare (US),
Digital Diagnostics (US),
Xilinx (US), InformAI (US),
Enlitic (US), Day Zero Diagnostics (US),
Aidence (Netherlands),
Butterfly Network, Inc.
(US), Prognos (US),
Zebra Medical Vision (Israel),
Viz.ai (US),
Quibin (Spain),
Qure.ai (India),
Therapixel (France),
and HeartFlow (US).
Segmentation
By Component
Software
Services
By Application
In Vivo Diagnostics
By Speciality
Radiology
Cardiology
Neurology
Obstretics/ Gynecology
Opthalmology
Others
By Modalities
MRI
CT scan’
X rays
Ultrasound
Others
In Vitro Diagnostics
By End User
Hospitals
Diagnostic Imaging Centers
Diagnostic Laboratories
Others
By Region
North America
US
Canada
Europe
Germany
UK
France
Rest of Europe (RoE)
Asia Pacific
Japan
China
India
Rest of APAC (RoAPAC)
RoW
Artificial Intelligence (Ai) in Medical Diagnostics Market Market Dynamics
Artificial Intelligence (Ai) in Medical Diagnostics Market Market Size
Supply & Demand
Current Trends/Issues/Challenges
Competition & Companies Involved in the Market
Value Chain of the Market
Market Drivers and Restraints
The report sheds light on various aspects and answers pertinent questions on the market. Some of the important ones are:
COVID-19 pre and post business impact analysis
Detailed overview of the parent market
Changing market dynamics in the industry
In-depth market segmentation
What is the Artificial Intelligence (Ai) in Medical Diagnostics Market Market growth?
Which segment accounted for the largest Artificial Intelligence (Ai) in Medical Diagnostics Market Market share?
Who are the key players in the Griddles Market?
Historical, current and projected market size in terms of volume and value
Recent industry trends and developments
Competitive landscape
Strategies of key players and products offered
Potential and niche segments, geographical regions exhibiting promising growth
A neutral perspective on market performance
Must-have information for market players to sustain and enhance their market footprint
Note: Although care has been taken to maintain the highest levels of accuracy in Fatpos Global’s reports, recent market/vendor-specific changes may take time to reflect in the analysis.
1. EXECUTIVE SUMMARY
2. ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL DIAGNOSTICS MARKET
2.1. Product Overview
2.2. Market Definition
2.3. Segmentation
2.4. Assumptions and Acronyms
3. RESEARCH METHODOLOGY
3.1. Research Objectives
3.2. Primary Research
3.3. Secondary Research
3.4. Forecast Model
3.5. Market Size Estimation
4. AVERAGE PRICING ANALYSIS
5. MACRO-ECONOMIC INDICATORS
6. MARKET DYNAMICS
6.1. Growth Drivers
6.2. Restraints
6.3. Opportunity
6.4. Trends
7. CORRELATION & REGRESSION ANALYSIS
7.1. Correlation Matrix
7.2. Regression Matrix
8. RECENT DEVELOPMENT, POLICIES & REGULATORY LANDSCAPE
9. RISK ANALYSIS
9.1. Demand Risk Analysis
9.2. Supply Risk Analysis
10. ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL DIAGNOSTICS MARKET ANALYSIS
10.1. Porters Five Forces
10.1.1. Threat of New Entrants
10.1.2. Bargaining Power of Suppliers
10.1.3. Threat of Substitutes
10.1.4. Rivalry
10.2. PEST Analysis
10.2.1. Political
10.2.2. Economic
10.2.3. Social
10.2.4. Technological
11. ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL DIAGNOSTICS MARKET
11.1. Market Size & forecast, 2020A-2030F
11.1.1. By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
11.1.2. By Volume (Million Units) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12. ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL DIAGNOSTICS MARKET : MARKET SEGMENTATION
12.1. By Regions
12.1.1. North America:(U.S. and Canada), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.2. Latin America: (Brazil, Mexico, Argentina, Rest of Latin America), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.3. Europe: (Germany, UK, France, Italy, Spain, BENELUX, NORDIC, Hungary, Poland, Turkey, Russia, Rest of Europe), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.4. Asia-Pacific: (China, India, Japan, South Korea, Indonesia, Malaysia, Australia, New Zealand, Rest of Asia Pacific), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.5. Middle East and Africa: (Israel, GCC, North Africa, South Africa, Rest of Middle East and Africa), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2. By network type: Market Share (2020-2030F)
12.2.1. Hardware , By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2.2. Software , By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2.3. Services , By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3. By End user: Market Share (2020-2030F)
12.3.1. Manufacturing, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.2. Healthcare, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.3. Energy and Utilities, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.4. IT & Telecom, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.5. Automotive and Transportation, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.6. Supply Chain and Logistics, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.7. Government and Public Safety, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.8. Agriculture, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.9. Others, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
Company Profile
Microsoft Corporation (US),
NVIDIA (US),
IBM (US),
Intel (US),
Siemens Healthineers (Germany)
, GE Healthcare (US),
Digital Diagnostics (US),
Xilinx (US), InformAI (US),
Enlitic (US), Day Zero Diagnostics (US),
Aidence (Netherlands),
Butterfly Network, Inc.
(US), Prognos (US),
Zebra Medical Vision (Israel),
Viz.ai (US),
Quibin (Spain),
Qure.ai (India),
Therapixel (France),
and HeartFlow (US).
Consultant Recommendation
**The above-given segmentations and companies could be subjected to further modification based on in-depth feasibility studies conducted for the final deliverable.
2. ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL DIAGNOSTICS MARKET
2.1. Product Overview
2.2. Market Definition
2.3. Segmentation
2.4. Assumptions and Acronyms
3. RESEARCH METHODOLOGY
3.1. Research Objectives
3.2. Primary Research
3.3. Secondary Research
3.4. Forecast Model
3.5. Market Size Estimation
4. AVERAGE PRICING ANALYSIS
5. MACRO-ECONOMIC INDICATORS
6. MARKET DYNAMICS
6.1. Growth Drivers
6.2. Restraints
6.3. Opportunity
6.4. Trends
7. CORRELATION & REGRESSION ANALYSIS
7.1. Correlation Matrix
7.2. Regression Matrix
8. RECENT DEVELOPMENT, POLICIES & REGULATORY LANDSCAPE
9. RISK ANALYSIS
9.1. Demand Risk Analysis
9.2. Supply Risk Analysis
10. ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL DIAGNOSTICS MARKET ANALYSIS
10.1. Porters Five Forces
10.1.1. Threat of New Entrants
10.1.2. Bargaining Power of Suppliers
10.1.3. Threat of Substitutes
10.1.4. Rivalry
10.2. PEST Analysis
10.2.1. Political
10.2.2. Economic
10.2.3. Social
10.2.4. Technological
11. ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL DIAGNOSTICS MARKET
11.1. Market Size & forecast, 2020A-2030F
11.1.1. By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
11.1.2. By Volume (Million Units) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12. ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL DIAGNOSTICS MARKET : MARKET SEGMENTATION
12.1. By Regions
12.1.1. North America:(U.S. and Canada), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.2. Latin America: (Brazil, Mexico, Argentina, Rest of Latin America), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.3. Europe: (Germany, UK, France, Italy, Spain, BENELUX, NORDIC, Hungary, Poland, Turkey, Russia, Rest of Europe), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.4. Asia-Pacific: (China, India, Japan, South Korea, Indonesia, Malaysia, Australia, New Zealand, Rest of Asia Pacific), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.5. Middle East and Africa: (Israel, GCC, North Africa, South Africa, Rest of Middle East and Africa), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2. By network type: Market Share (2020-2030F)
12.2.1. Hardware , By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2.2. Software , By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2.3. Services , By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3. By End user: Market Share (2020-2030F)
12.3.1. Manufacturing, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.2. Healthcare, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.3. Energy and Utilities, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.4. IT & Telecom, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.5. Automotive and Transportation, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.6. Supply Chain and Logistics, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.7. Government and Public Safety, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.8. Agriculture, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.9. Others, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
Company Profile
Microsoft Corporation (US),
NVIDIA (US),
IBM (US),
Intel (US),
Siemens Healthineers (Germany)
, GE Healthcare (US),
Digital Diagnostics (US),
Xilinx (US), InformAI (US),
Enlitic (US), Day Zero Diagnostics (US),
Aidence (Netherlands),
Butterfly Network, Inc.
(US), Prognos (US),
Zebra Medical Vision (Israel),
Viz.ai (US),
Quibin (Spain),
Qure.ai (India),
Therapixel (France),
and HeartFlow (US).
Consultant Recommendation
**The above-given segmentations and companies could be subjected to further modification based on in-depth feasibility studies conducted for the final deliverable.
