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Global Artificial Intelligence In Medical Diagnostics Market (2022-2027) by Technology, Diagnosis Type, Diagnostic Tool, Applications, End-Users, and Geography, Competitive Analysis and the Impact of Covid-19 with Ansoff Analysis

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  • 142 Pages
  • September 2022
  • Region: Global
  • Infogence Global Research
  • ID: 5684395

Artificial Intelligence is Growing Rapidly in the Medical Field, Especially in Diagnostics and Treatment Management

The Global Artificial Intelligence In Medical Diagnostics Market is estimated to be USD 906.32 Mn in 2022 and is expected to reach USD 2674.18 Mn by 2027, growing at a CAGR of 24.16%.

Market Dynamics

Market dynamics are forces that impact the prices and behaviors of the Global Artificial Intelligence In Medical Diagnostics Market stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.

As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.

Market Segmentations

The Global Artificial Intelligence In Medical Diagnostics Market is segmented based on Technology, Diagnosis Type, Diagnostic Tool, Applications, End-Users, and Geography.
  • By Technology, the market is classified into Computed Tomography, Magnetic Resonance Imaging, Neuroradiology, and Radiology.
  • By Diagnosis Type, the market is classified into Cardiology, Neurology, and Radiology.
  • By Diagnostic Tool, the market is classified into Automated Detection System, Medical Imaging Tool, and Others.
  • By Applications, the market is classified into Data Mining, Data Storage, Follow-up Plan, Image Acquisition, and Processing to Aided Reporting.
  • By End-Users, the market is classified into Diagnostic Laboratory and Hospital.
  • By Geography, the market is classified into Americas, Europe, Middle-East & Africa, and Asia-Pacific.

Company Profiles

The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are General Electric Co., Google LLC, HeartFlow, Inc., Intel Corp., Riverain Technologies, Siemens Healthineers Ag, etc.

Countries Studied

  • America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
  • Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
  • Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
  • Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Ansoff Analysis

The report presents a detailed Ansoff matrix analysis for the Global Artificial Intelligence In Medical Diagnostics Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.

The analyst analyses the Global Artificial Intelligence In Medical Diagnostics Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.

Based on the SWOT analysis conducted on the industry and industry players, the analyst has devised suitable strategies for market growth.

Why buy this report?

  • The report offers a comprehensive evaluation of the Global Artificial Intelligence In Medical Diagnostics Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
  • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
  • The report includes an in-depth market analysis using Porter's 5 forces model and the Ansoff Matrix. In addition, the impact of Covid-19 on the market is also featured in the report.
  • The report also includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
  • The report also contains the competitive analysis using Positioning Quadrants, the analyst's competitive positioning tool.

Report Highlights:

  • A complete analysis of the market, including parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market

Table of Contents

1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Stakeholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
3.1 Introduction
3.2 Market Size, Segmentations, and Outlook
4 Market Dynamics
4.1 Drivers
4.1.1 Rising Awareness Towards Patient Safety
4.1.2 Strategic Alliances Between Healthcare Facilities and AI Solution Providers
4.1.3 Increasing Demand for AI Tools in the Medical Imaging Field and Rising Focus on Reducing the Workload of Radiologists
4.1.4 Government Initiative
4.2 Restraints
4.2.1 Reluctance among Medical Practitioners to Adopt AI-based Technologies
4.3 Opportunities
4.3.1 Advancements in AI and Deep Learning
4.3.2 Increasing Invesrment in Healthcare Infrastructure
4.4 Challenges
4.4.1 Limited Number of AI Experts
4.4.2 Concerns Regarding Data Privacy
5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter’s Five Forces Analysis
5.3 PESTLE Analysis
5.4 Impact of COVID-19
5.5 Ansoff Matrix Analysis
6 Global Artificial Intelligence In Medical Diagnostics Market, By Technology
6.1 Introduction
6.2 Computed Tomography
6.3 Magnetic Resonance Imaging
6.4 Neuroradiology
6.5 Radiology
7 Global Artificial Intelligence In Medical Diagnostics Market, By Diagnosis Type
7.1 Introduction
7.2 Cardiology
7.3 Neurology
7.4 Radiology
8 Global Artificial Intelligence In Medical Diagnostics Market, By Diagnostic Tool
8.1 Introduction
8.2 Automated Detection System
8.3 Medical Imaging Tool
8.4 Others
9 Global Artificial Intelligence In Medical Diagnostics Market, By Applications
9.1 Introduction
9.2 Data Mining
9.3 Data Storage
9.4 Follow-up Plan
9.5 Image Acquisition
9.6 Processing to Aided Reporting
10 Global Artificial Intelligence In Medical Diagnostics Market, By End-Users
10.1 Introduction
10.2 Diagnostic Laboratory
10.3 Hospital
11 Americas’ Artificial Intelligence In Medical Diagnostics Market
11.1 Introduction
11.2 Argentina
11.3 Brazil
11.4 Canada
11.5 Chile
11.6 Colombia
11.7 Mexico
11.8 Peru
11.9 United States
11.10 Rest of Americas
12 Europe’s Artificial Intelligence In Medical Diagnostics Market
12.1 Introduction
12.2 Austria
12.3 Belgium
12.4 Denmark
12.5 Finland
12.6 France
12.7 Germany
12.8 Italy
12.9 Netherlands
12.10 Norway
12.11 Poland
12.12 Russia
12.13 Spain
12.14 Sweden
12.15 Switzerland
12.16 United Kingdom
12.17 Rest of Europe
13 Middle East and Africa’s Artificial Intelligence In Medical Diagnostics Market
13.1 Introduction
13.2 Egypt
13.3 Israel
13.4 Qatar
13.5 Saudi Arabia
13.6 South Africa
13.7 United Arab Emirates
13.8 Rest of MEA
14 APAC’s Artificial Intelligence In Medical Diagnostics Market
14.1 Introduction
14.2 Australia
14.3 Bangladesh
14.4 China
14.5 India
14.6 Indonesia
14.7 Japan
14.8 Malaysia
14.9 Philippines
14.10 Singapore
14.11 South Korea
14.12 Sri Lanka
14.13 Thailand
14.14 Taiwan
14.15 Rest of Asia-Pacific
15 Competitive Landscape
15.1 Competitive Quadrant
15.2 Market Share Analysis
15.3 Strategic Initiatives
15.3.1 M&A and Investments
15.3.2 Partnerships and Collaborations
15.3.3 Product Developments and Improvements
16 Company Profiles
16.1 Aidoc Medical Ltd.
16.2 Arterys, Inc.
16.3 Caption Health, Inc.
16.4 Enlitic, Inc.
16.5 Freenome Holdings, Inc.
16.6 General Electric Co.
16.7 Google LLC
16.8 HeartFlow, Inc.
16.9 Intel Corp.
16.10 Johnson & Johnson
16.11 Medtronic PLC
16.12 Nano-X Imaging Ltd.
16.13 NVIDIA Corp.
16.14 Quibim, S.L.
16.15 Qure.ai
16.16 Riverain Technologies
16.17 Siemens Healthineers Ag
16.18 Therapixel
16.19 VUNO, Inc.
16.20 XILINX, Inc.
17 Appendix
17.1 Questionnaire

Companies Mentioned

  • Aidoc Medical Ltd.
  • Arterys, Inc.
  • Caption Health, Inc.
  • Enlitic, Inc.
  • Freenome Holdings, Inc.
  • General Electric Co.
  • Google LLC
  • HeartFlow, Inc.
  • Intel Corp.
  • Johnson & Johnson
  • Medtronic PLC
  • Nano-X Imaging Ltd.
  • NVIDIA Corp.
  • Quibim, S.L.
  • Qure.ai
  • Riverain Technologies
  • Siemens Healthineers Ag
  • Therapixel
  • VUNO, Inc.
  • XILINX, Inc.