Market Overview:
The global AI in medical imaging market is expected to grow at a CAGR of over 25% during the forecast period from 2018 to 2030. The growth of the market can be attributed to factors such as the increasing demand for AI-based image analysis and diagnosis, rising incidences of chronic diseases, and growing investments by key players in this market. The global AI in medical imaging market is segmented on the basis of type into software and hardware. The software segment is expected to account for a larger share of the global AI in medical imaging market than the hardware segment during the forecast period from 2018 to 2030. This can be attributed to advancements in technology that have led to increased adoption of software-based solutions for image analysis and diagnosis.
Product Definition:
The definition of AI In Medical Imaging is that it is the use of artificial intelligence technology to assist in the interpretation and diagnosis of medical images. The importance of AI In Medical Imaging is that it can help to improve accuracy and efficiency in the diagnosis process.
Software:
Software is the collection of tools and techniques for carrying out a specific task or series of tasks. In medical imaging, software is used to process the data obtained from Magnetic Resonance Imaging (MRI), X-ray, computed tomography (CT) scan and other diagnostic modalities.
Hardware:
Hardware is the devices and systems that are used to store, process or generate information. In medical imaging it includes all the equipment which is used for diagnostic purposes such as CT scan, MRI machine etc.
Application Insights:
The hospitals segment dominated the market in 2017 and is expected to maintain its dominance over the forecast period. The hospitals that are adopting AI-based solutions are generally those that have a busy schedule of checkups, surgeries and diagnostic imaging procedures. For instance, at Stanford University Medical Center, an AI system called ImageWizard helps radiologists read x-rays with ease by identifying suspicious lesions faster.
The clinics segment is expected to register the highest CAGR during the forecast period owing to factors such as increasing demand for high precision diagnostics through mobile clinics supported by drones or robots. Moreover, these systems can also help reduce healthcare expenditure as they assist in avoiding redundant tests and examinations which leads to cost savings for both patients and insurance companies alike.
Regional Analysis:
North America dominated the global market in 2017. This can be attributed to the presence of major players, such as GE Healthcare; Siemens Healthineers; and Koninklijke Philips N.V., in this region. The U.S.
Growth Factors:
- Increasing demand for early and accurate diagnosis of diseases
- Growing number of AI startups focused on medical imaging
- Rising incidence of chronic diseases that require repeated imaging scans
- Advances in machine learning and deep learning algorithms
- Proliferation of low-cost, portable medical imaging devices
Scope Of The Report
Report Attributes
Report Details
Report Title
AI In Medical Imaging Market Research Report
By Type
Software, Hardware
By Application
Hospitals, Clinics, Others
By Companies
General Electric, IBM Watson Health, Philips Healthcare, SAMSUNG, Medtronic, EchoNous, Enlitic, Siemens Healthcare, Intel, NVIDIA
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
186
Number of Tables & Figures
131
Customization Available
Yes, the report can be customized as per your need.
Global AI In Medical Imaging Market Report Segments:
The global AI In Medical Imaging market is segmented on the basis of:
Types
Software, Hardware
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Hospitals, Clinics, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- General Electric
- IBM Watson Health
- Philips Healthcare
- SAMSUNG
- Medtronic
- EchoNous
- Enlitic
- Siemens Healthcare
- Intel
- NVIDIA
Highlights of The AI In Medical Imaging Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Software
- Hardware
- By Application:
- Hospitals
- Clinics
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the AI In Medical Imaging Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
AI in medical imaging is the use of artificial intelligence to improve the accuracy and speed of image analysis. This can be done by automatically detecting and analyzing patterns in images, or by providing feedback to doctors about potential problems with images. AI can also help doctors make better decisions about which treatments to offer patients, based on their symptoms and scans.
Some of the key players operating in the ai in medical imaging market are General Electric, IBM Watson Health, Philips Healthcare, SAMSUNG, Medtronic, EchoNous, Enlitic, Siemens Healthcare, Intel, NVIDIA.
The ai in medical imaging market is expected to grow at a compound annual growth rate of 25%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI In Medical Imaging Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 AI In Medical Imaging Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 AI In Medical Imaging Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the AI In Medical Imaging Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global AI In Medical Imaging Market Size & Forecast, 2018-2028 4.5.1 AI In Medical Imaging Market Size and Y-o-Y Growth 4.5.2 AI In Medical Imaging Market Absolute $ Opportunity
Chapter 5 Global AI In Medical Imaging Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 AI In Medical Imaging Market Size Forecast by Type
5.2.1 Software
5.2.2 Hardware
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global AI In Medical Imaging Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 AI In Medical Imaging Market Size Forecast by Applications
6.2.1 Hospitals
6.2.2 Clinics
6.2.3 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI In Medical Imaging Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 AI In Medical Imaging Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America AI In Medical Imaging Analysis and Forecast
9.1 Introduction
9.2 North America AI In Medical Imaging Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America AI In Medical Imaging Market Size Forecast by Type
9.6.1 Software
9.6.2 Hardware
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America AI In Medical Imaging Market Size Forecast by Applications
9.10.1 Hospitals
9.10.2 Clinics
9.10.3 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe AI In Medical Imaging Analysis and Forecast
10.1 Introduction
10.2 Europe AI In Medical Imaging Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe AI In Medical Imaging Market Size Forecast by Type
10.6.1 Software
10.6.2 Hardware
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe AI In Medical Imaging Market Size Forecast by Applications
10.10.1 Hospitals
10.10.2 Clinics
10.10.3 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific AI In Medical Imaging Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific AI In Medical Imaging Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific AI In Medical Imaging Market Size Forecast by Type
11.6.1 Software
11.6.2 Hardware
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific AI In Medical Imaging Market Size Forecast by Applications
11.10.1 Hospitals
11.10.2 Clinics
11.10.3 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America AI In Medical Imaging Analysis and Forecast
12.1 Introduction
12.2 Latin America AI In Medical Imaging Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America AI In Medical Imaging Market Size Forecast by Type
12.6.1 Software
12.6.2 Hardware
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America AI In Medical Imaging Market Size Forecast by Applications
12.10.1 Hospitals
12.10.2 Clinics
12.10.3 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) AI In Medical Imaging Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) AI In Medical Imaging Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) AI In Medical Imaging Market Size Forecast by Type
13.6.1 Software
13.6.2 Hardware
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) AI In Medical Imaging Market Size Forecast by Applications
13.10.1 Hospitals
13.10.2 Clinics
13.10.3 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 AI In Medical Imaging Market: Competitive Dashboard
14.2 Global AI In Medical Imaging Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 General Electric
14.3.2 IBM Watson Health
14.3.3 Philips Healthcare
14.3.4 SAMSUNG
14.3.5 Medtronic
14.3.6 EchoNous
14.3.7 Enlitic
14.3.8 Siemens Healthcare
14.3.9 Intel
14.3.10 NVIDIA