Market Overview:
The global AI-enabled imaging modality market is expected to grow at a CAGR of 10.8% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for AI-enabled imaging modalities for early diagnosis and treatment of various diseases, growing geriatric population, and rising prevalence of chronic diseases. In addition, technological advancements in the field of medical imaging are also contributing to the growth of this market. On the basis of type, computed tomography (CT) is expected to hold the largest share in the global AI-enabled imaging modality market during the forecast period. This can be attributed to its high adoption rate across hospitals and clinics for diagnostic purposes.
Product Definition:
An AI-enabled imaging modality is a medical device that uses artificial intelligence to help physicians diagnose and treat disease. The importance of AI-enabled imaging modalities is that they can improve the accuracy of diagnoses, help reduce the time it takes to make a diagnosis, and improve patient outcomes.
Computed Tomography:
Computed tomography (CT) is a medical imaging technique that utilizes X-rays to obtain cross-sectional images of internal body organs and tissues. CT scanning is an effective diagnostic tool for identifying diseases or injuries in various parts of the body, such as the brain, lungs, liver, kidney and urinary system; gastrointestinal tract; blood vessels; pelvis/hip area; spine; head & neck.
MRI:
Magnetic Resonance Imaging (MRI) is an advanced diagnostic medical technology that uses magnetic field and radio waves to produce images of body tissues. MRI scans are painless, non-invasive, and can provide detailed images of the soft tissue in the human body. The increasing prevalence of chronic diseases such as cancer, cardiovascular disorders & neurological problems along with rising geriatric population base across the globe is expected to drive MRI market growth over the forecast period.
Application Insights:
The hospital segment dominated the market in 2017 and is expected to maintain its dominance over the forecast period. The growing adoption of AI-enabled imaging modalities for preoperative planning, postoperative monitoring, and surgical navigation is one of the key factors driving this segment. Moreover, hospitals are focusing on developing their own AI-enabled imaging modalities based on deep learning algorithms to enhance patient safety by reducing medication errors and improving communication between healthcare professionals.
The clinics/ophthalmic centers application segment is expected to register a significant CAGR during the forecast period owing to increasing demand for advanced diagnostic techniques among patients with ocular disorders. For instance, an AI tool called VSee developed by VisualSciences Corporation can help ophthalmic surgeons perform better examinations by identifying patterns that indicate potential problems in patients¢â‚¬â„¢ eyesight before they require medical attention.
Regional Analysis:
North America dominated the global market in 2017. This can be attributed to factors such as increasing adoption of advanced technologies, presence of well-established healthcare infrastructure and high patient awareness levels coupled with relatively higher healthcare spending in this region. Moreover, growing demand for minimally invasive procedures is also expected to drive regional growth over the forecast period.
Asia Pacific is anticipated to witness lucrative growth during the forecast period owing to rising geriatric population base and improving economic conditions in emerging countries such as India and China. In addition, rapidly developing medical tourism industry will also boost demand for technologically advanced imaging modalities over the next eight years.
Growth Factors:
- Increasing demand for minimally invasive surgeries: AI-enabled imaging modality helps in performing surgeries with utmost precision and accuracy, thereby reducing the surgical time and risk of complications.
- Growing prevalence of cancer: AI-enabled imaging modality aids in early detection of cancer, which helps in better prognosis and treatment outcomes.
- Rising demand for image-guided interventions: AI-enabled imaging modality provides real-time images that help physicians to guide therapeutic interventions with precision.
- Advances in medical technology: With continuous advancements in medical technology, there is a growing need for advanced diagnostic tools such as AI-enabled imaging modalities. 5
Scope Of The Report
Report Attributes
Report Details
Report Title
AI-enabled Imaging Modality Market Research Report
By Type
Computed Tomography, MRI, X-Ray, Ultrasound, Positron Emission Tomography, Others
By Application
Hospital, Cilinic, Labs
By Companies
Koninklijke Philips N.V., Siemens Healthineers AG., General Electric Company, Canon, Hologic, Butterfly Network, Hyperfine, United Health Imaging, Yorlabs, Nanox
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
199
Number of Tables & Figures
140
Customization Available
Yes, the report can be customized as per your need.
Global AI-enabled Imaging Modality Market Report Segments:
The global AI-enabled Imaging Modality market is segmented on the basis of:
Types
Computed Tomography, MRI, X-Ray, Ultrasound, Positron Emission Tomography, 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
Hospital, Cilinic, Labs
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:
- Koninklijke Philips N.V.
- Siemens Healthineers AG.
- General Electric Company
- Canon
- Hologic
- Butterfly Network
- Hyperfine
- United Health Imaging
- Yorlabs
- Nanox
Highlights of The AI-enabled Imaging Modality 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:
- Computed Tomography
- MRI
- X-Ray
- Ultrasound
- Positron Emission Tomography
- Others
- By Application:
- Hospital
- Cilinic
- Labs
- 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-enabled Imaging Modality 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?
There are a number of AI-enabled imaging modalities, including computer vision, natural language processing (NLP), and deep learning. With computer vision, an AI system can identify objects and scenes in images or videos. With NLP, an AI system can understand human speech or other forms of communication to identify specific information such as people, places, and things. Deep learning is a type of machine learning that uses artificial neural networks to learn from data sets by u201ctrainingu201d on large amounts of examples.
Some of the major companies in the ai-enabled imaging modality market are Koninklijke Philips N.V., Siemens Healthineers AG., General Electric Company, Canon, Hologic, Butterfly Network, Hyperfine, United Health Imaging, Yorlabs, Nanox.
The ai-enabled imaging modality market is expected to grow at a compound annual growth rate of 10.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI-enabled Imaging Modality 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-enabled Imaging Modality Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 AI-enabled Imaging Modality 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-enabled Imaging Modality 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-enabled Imaging Modality Market Size & Forecast, 2018-2028 4.5.1 AI-enabled Imaging Modality Market Size and Y-o-Y Growth 4.5.2 AI-enabled Imaging Modality Market Absolute $ Opportunity
Chapter 5 Global AI-enabled Imaging Modality 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-enabled Imaging Modality Market Size Forecast by Type
5.2.1 Computed Tomography
5.2.2 MRI
5.2.3 X-Ray
5.2.4 Ultrasound
5.2.5 Positron Emission Tomography
5.2.6 Others
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global AI-enabled Imaging Modality 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-enabled Imaging Modality Market Size Forecast by Applications
6.2.1 Hospital
6.2.2 Cilinic
6.2.3 Labs
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI-enabled Imaging Modality 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-enabled Imaging Modality 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-enabled Imaging Modality Analysis and Forecast
9.1 Introduction
9.2 North America AI-enabled Imaging Modality 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-enabled Imaging Modality Market Size Forecast by Type
9.6.1 Computed Tomography
9.6.2 MRI
9.6.3 X-Ray
9.6.4 Ultrasound
9.6.5 Positron Emission Tomography
9.6.6 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 AI-enabled Imaging Modality Market Size Forecast by Applications
9.10.1 Hospital
9.10.2 Cilinic
9.10.3 Labs
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-enabled Imaging Modality Analysis and Forecast
10.1 Introduction
10.2 Europe AI-enabled Imaging Modality 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-enabled Imaging Modality Market Size Forecast by Type
10.6.1 Computed Tomography
10.6.2 MRI
10.6.3 X-Ray
10.6.4 Ultrasound
10.6.5 Positron Emission Tomography
10.6.6 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 AI-enabled Imaging Modality Market Size Forecast by Applications
10.10.1 Hospital
10.10.2 Cilinic
10.10.3 Labs
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-enabled Imaging Modality Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific AI-enabled Imaging Modality 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-enabled Imaging Modality Market Size Forecast by Type
11.6.1 Computed Tomography
11.6.2 MRI
11.6.3 X-Ray
11.6.4 Ultrasound
11.6.5 Positron Emission Tomography
11.6.6 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 AI-enabled Imaging Modality Market Size Forecast by Applications
11.10.1 Hospital
11.10.2 Cilinic
11.10.3 Labs
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-enabled Imaging Modality Analysis and Forecast
12.1 Introduction
12.2 Latin America AI-enabled Imaging Modality 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-enabled Imaging Modality Market Size Forecast by Type
12.6.1 Computed Tomography
12.6.2 MRI
12.6.3 X-Ray
12.6.4 Ultrasound
12.6.5 Positron Emission Tomography
12.6.6 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 AI-enabled Imaging Modality Market Size Forecast by Applications
12.10.1 Hospital
12.10.2 Cilinic
12.10.3 Labs
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-enabled Imaging Modality Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) AI-enabled Imaging Modality 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-enabled Imaging Modality Market Size Forecast by Type
13.6.1 Computed Tomography
13.6.2 MRI
13.6.3 X-Ray
13.6.4 Ultrasound
13.6.5 Positron Emission Tomography
13.6.6 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) AI-enabled Imaging Modality Market Size Forecast by Applications
13.10.1 Hospital
13.10.2 Cilinic
13.10.3 Labs
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-enabled Imaging Modality Market: Competitive Dashboard
14.2 Global AI-enabled Imaging Modality Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Koninklijke Philips N.V.
14.3.2 Siemens Healthineers AG.
14.3.3 General Electric Company
14.3.4 Canon
14.3.5 Hologic
14.3.6 Butterfly Network
14.3.7 Hyperfine
14.3.8 United Health Imaging
14.3.9 Yorlabs
14.3.10 Nanox