Market Overview:
The global artificial intelligence in the medical imaging market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth of this market can be attributed to the increasing demand for AI-based diagnostic and therapeutic solutions in hospitals and diagnostic centers. Additionally, the growing prevalence of cancer and other chronic diseases is also propelling the growth of this market. However, lack of awareness about AI-based medical imaging solutions among healthcare professionals may restrain the growth of this market to some extent during the forecast period. Oncology held a dominant share in terms of application segment in 2017 and is expected to maintain its dominance throughout the forecast period.
Product Definition:
The definition of artificial intelligence in the medical imaging is a field of computer science and engineering focused on the development of intelligent algorithms that can be used to automatically analyze medical images for diagnostic or prognostic purposes. The importance of artificial intelligence in the medical imaging is that it can help to improve accuracy and efficiency in diagnosing diseases, as well as predicting patient outcomes.
Digital Pathology:
The global digital pathology market size was valued at USD 1.8 billion in 2017 and is expected to grow at a CAGR of XX% during the forecast period. The key drivers attributing to its rapid growth include increasing demand for early diagnostic tools, rising prevalence of chronic diseases, and technological advancements pertaining to automated imaging systems & workflow management solutions that enable efficient diagnosis while reducing costs & errors in diagnostics process.
Oncology:
Oncology is the study of cancer, a disease of cells caused by abnormal growth and division. Oncology also deals with the treatment and prevention of cancer. Artificial Intelligence (AI) has been applied to oncology for various purposes such as diagnosis, prognosis, therapy monitoring & side-effects prediction, clinical trial design & implementation as well as patient engagement applications.
Application Insights:
Based on application, the market is segmented into hospitals, diagnostic centers and others. Hospitals are expected to be the largest adopters of AI in medical imaging applications as they have been extensively using machine learning algorithms for diagnosis of cancerous cells and other diseases at an early stage.
The adoption of these technologies by radiologists is critical as it helps them in interpretation of images with higher accuracy and improves their productivity by a large percentage. The use-of-forceradiology solution from Siemens Healthineers has also been gaining traction among radiology groups due to its ease-of-use along with high accuracy in reading x-rays for different body parts.
AI can also be effectively used during preoperative planning or surgical navigation procedures before actual surgery gets performed, thereby reducing human efforts.
Regional Analysis:
North America dominated the market in 2017 owing to the presence of major players, such as IBM Corporation; Google LLC; Microsoft Corporation; and Siemens Healthineers AG. The region is expected to maintain its dominance over the forecast period due to increasing investments in R&D and growing adoption of advanced technologies across various medical specialties.
Asia Pacific is projected to grow at a lucrative rate during the forecast period owing to rising healthcare expenditure, improving infrastructure facilities for diagnosis & treatment, increase in patient awareness levels coupled with government initiatives for creating a robust digital health system. These factors are anticipated to boost demand for artificial intelligence-based medical imaging applications across this region during the forecast period.
Growth Factors:
- Increasing demand for early and accurate diagnosis of diseases
- Growing number of AI startups focused on medical imaging
- Rising adoption of AI-enabled medical imaging devices
- Proliferation of big data in healthcare industry
- Development of innovative artificial intelligence algorithms
Scope Of The Report
Report Attributes
Report Details
Report Title
Artificial Intelligence in the Medical Imaging Market Research Report
By Type
Digital Pathology, Oncology, Others
By Application
Hospitals, Diagnostic Centers
By Companies
NVIDIA Corporation, GE Healthcare, Siemens, Aidoc, 3Scan, Agfa Healthcare, Arterys, Butterfly Network, Inc., EchoNous, Inc., Enlitic, Inc., IBM Corporation
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
162
Number of Tables & Figures
114
Customization Available
Yes, the report can be customized as per your need.
Global Artificial Intelligence in the Medical Imaging Market Report Segments:
The global Artificial Intelligence in the Medical Imaging market is segmented on the basis of:
Types
Digital Pathology, Oncology, Others
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, Diagnostic Centers
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:
- NVIDIA Corporation
- GE Healthcare
- Siemens
- Aidoc
- 3Scan
- Agfa Healthcare
- Arterys
- Butterfly Network, Inc.
- EchoNous, Inc.
- Enlitic, Inc.
- IBM Corporation
Highlights of The Artificial Intelligence in the 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:
- Digital Pathology
- Oncology
- Others
- By Application:
- Hospitals
- Diagnostic Centers
- 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 Artificial Intelligence in the 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?
Artificial intelligence (AI) is a subset of machine learning that uses computer programs to make decisions, typically based on data. In medical imaging, AI can be used to improve the accuracy and speed of image analysis.
Some of the major players in the artificial intelligence in the medical imaging market are NVIDIA Corporation, GE Healthcare, Siemens, Aidoc, 3Scan, Agfa Healthcare, Arterys, Butterfly Network, Inc., EchoNous, Inc., Enlitic, Inc., IBM Corporation.
The artificial intelligence in the medical imaging market is expected to grow at a compound annual growth rate of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Artificial Intelligence in the 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 Artificial Intelligence in the Medical Imaging Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Artificial Intelligence in the 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 Artificial Intelligence in the 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 Artificial Intelligence in the Medical Imaging Market Size & Forecast, 2018-2028
4.5.1 Artificial Intelligence in the Medical Imaging Market Size and Y-o-Y Growth
4.5.2 Artificial Intelligence in the Medical Imaging Market Absolute $ Opportunity
Chapter 5 Global Artificial Intelligence in the 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 Artificial Intelligence in the Medical Imaging Market Size Forecast by Type
5.2.1 Digital Pathology
5.2.2 Oncology
5.2.3 Others
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Artificial Intelligence in the 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 Artificial Intelligence in the Medical Imaging Market Size Forecast by Applications
6.2.1 Hospitals
6.2.2 Diagnostic Centers
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Artificial Intelligence in the 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 Artificial Intelligence in the 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 Artificial Intelligence in the Medical Imaging Analysis and Forecast
9.1 Introduction
9.2 North America Artificial Intelligence in the 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 Artificial Intelligence in the Medical Imaging Market Size Forecast by Type
9.6.1 Digital Pathology
9.6.2 Oncology
9.6.3 Others
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 Artificial Intelligence in the Medical Imaging Market Size Forecast by Applications
9.10.1 Hospitals
9.10.2 Diagnostic Centers
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 Artificial Intelligence in the Medical Imaging Analysis and Forecast
10.1 Introduction
10.2 Europe Artificial Intelligence in the 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 Artificial Intelligence in the Medical Imaging Market Size Forecast by Type
10.6.1 Digital Pathology
10.6.2 Oncology
10.6.3 Others
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 Artificial Intelligence in the Medical Imaging Market Size Forecast by Applications
10.10.1 Hospitals
10.10.2 Diagnostic Centers
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 Artificial Intelligence in the Medical Imaging Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Artificial Intelligence in the 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 Artificial Intelligence in the Medical Imaging Market Size Forecast by Type
11.6.1 Digital Pathology
11.6.2 Oncology
11.6.3 Others
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 Artificial Intelligence in the Medical Imaging Market Size Forecast by Applications
11.10.1 Hospitals
11.10.2 Diagnostic Centers
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 Artificial Intelligence in the Medical Imaging Analysis and Forecast
12.1 Introduction
12.2 Latin America Artificial Intelligence in the 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 Artificial Intelligence in the Medical Imaging Market Size Forecast by Type
12.6.1 Digital Pathology
12.6.2 Oncology
12.6.3 Others
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 Artificial Intelligence in the Medical Imaging Market Size Forecast by Applications
12.10.1 Hospitals
12.10.2 Diagnostic Centers
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) Artificial Intelligence in the Medical Imaging Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Artificial Intelligence in the 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) Artificial Intelligence in the Medical Imaging Market Size Forecast by Type
13.6.1 Digital Pathology
13.6.2 Oncology
13.6.3 Others
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) Artificial Intelligence in the Medical Imaging Market Size Forecast by Applications
13.10.1 Hospitals
13.10.2 Diagnostic Centers
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 Artificial Intelligence in the Medical Imaging Market: Competitive Dashboard
14.2 Global Artificial Intelligence in the Medical Imaging Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 NVIDIA Corporation
14.3.2 GE Healthcare
14.3.3 Siemens
14.3.4 Aidoc
14.3.5 3Scan
14.3.6 Agfa Healthcare
14.3.7 Arterys
14.3.8 Butterfly Network, Inc.
14.3.9 EchoNous, Inc.
14.3.10 Enlitic, Inc.
14.3.11 IBM Corporation
