Home » Healthcare » US Artificial Intelligence (AI) in Medical Imaging Market

US Artificial Intelligence (AI) in Medical Imaging Market By Imaging Modality (X-ray Imaging, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound Imaging, Nuclear Medicine Imaging, Other Modalities) By Application (Disease Detection and Diagnosis, Image Segmentation and Analysis, Computer-Aided Detection (CAD), Treatment Planning and Monitoring, Image-Based Biomarkers, Quality Control, Reporting and Documentation, Predictive Analytics) By End Users (Hospitals and Clinics, Diagnostic Imaging Centers, Research Institutions and Academic Medical Centers, Biotechnology and Pharmaceutical Companies, Other Healthcare Facilities, By AI Technology Type (Deep Learning, Machine Learning, Computer Vision, Natural Language Processing (NLP)) By Service Model (Software as a Service (SaaS), On-Premises Solutions)

Price: $1999

Published: | Report ID: 30796 | Report Format : PDF

Market Insights

  • US demand for artificial intelligence (AI) in medical imaging was valued at USD 330.59 mn in 2022 and is expected to reach USD 3,140.90 mn in 2030, growing at a CAGR of 32.24% between 2023 and 2030.
  • X-ray imaging is the leading segment of imaging modality. On the other hand, computed tomography (CT) is expected to grow at a strong CAGR.
  • The leading application segment is disease detection and diagnosis.
  • The CAGR for hospitals and clinics is expected to be the highest during the projection period.
  • The machine learning category will likely have the highest CAGR during the forecast time frame.
  • The software as a service (SAAS) segment is estimated to have the greatest CAGR during the forecast period.
  • Several factors drive the growth of AI in the medical imaging market in the US, including technological advancements, improvements in image quality, remote monitoring, and advances in cloud computing.
  • Automation in radiology reporting, telemedicine support, and early disease detection are the factors that drive the potential for US artificial intelligence (AI) in the medical imaging market.

US Artificial Intelligence (AI) in Medical Imaging Market

Design Element 2

Access crucial information at unmatched prices!

Request your free sample report today & start making informed decisions powered by Credence Research!

Download Free Sample

CTA Design Element 3

Executive Summary

Market Definition

The U.S. market for artificial intelligence (AI) in medical imaging pertains to the segment within the broader healthcare industry dedicated to advancing, implementing, and utilizing AI technologies specifically crafted for analyzing, interpreting, and improving medical imaging data. This market encompasses a variety of AI applications and solutions integrated into diverse medical imaging modalities, including, but not limited to, X-ray, computed tomography, magnetic resonance imaging, ultrasound, and positron emission tomography. The principal goal of AI in medical imaging is to enhance the efficiency, precision, and clinical value of diagnostic imaging processes, ultimately leading to improved patient care and outcomes.

Market Overview

The US artificial intelligence (AI) in medical imaging has expanded steadily in recent years. Between 2023 and 2030, it is anticipated to rise at a CAGR of 32.24% . The market was estimated to be worth USD 330.59 mn in 2022 and is anticipated to be worth USD 3,140.90 mn in 2030.

One of the main factors propelling the US artificial intelligence (AI) in the medical imaging market is integration with electronic health records (EHR). AI systems can access comprehensive patient data, such as past diagnostic images, medical history, and other pertinent health information, through integration with EHRs. Using past patient data obtained through EHR integration, AI algorithms can recognize patterns and trends in patients’ wellness. AI in medical imaging can increase the precision of diagnosis by considering a patient’s medical background. For instance, knowing how tumors change over time in oncology imaging can help with more accurate diagnosis and treatment strategies.

EHR integration makes communicating and sharing information easier for various healthcare departments and providers. By providing consistent and current information to radiologists, clinicians, and other healthcare professionals involved in a patient’s care, AI applications can help improve the efficiency of care coordination. This is especially crucial when more than one imaging study or consultation is needed.

AI applications are guaranteed to adhere to healthcare data privacy and security regulations through EHR integration. Guidelines like the Health Insurance Portability and Accountability Act (HIPAA) must be followed for AI to be used in medical imaging. EHR integration facilitates safe and legal patient data management.

Segmentation by Imaging Modality

  • X-ray imaging is the market leader in imaging modality. X-ray imaging is a common diagnostic technique for observing the body’s internal structures, including bones and organs. Artificial intelligence (AI) in X-ray imaging aids in the identification and characterization of a variety of medical diseases by using machine learning procedures to analyze and interpret X-ray pictures.
  • Computed Tomography (CT) will exhibit a sizable CAGR during the projected period. Artificial intelligence algorithms are crucial to the improvement and reconstruction of CT images. AI can enhance the quality and clarity of CT scans by using sophisticated image reconstruction techniques, which will help radiologists interpret the images more accurately.
  • The need for artificial intelligence (AI) in medical imaging in the US is also influenced by other types of imaging, including nuclear medicine imaging, ultrasound imaging, magnetic resonance imaging (MRI), and others.

Segmentation by Application

  • The main application category is disease detection and diagnosis. Diagnostic imaging is being analyzed by AI technologies. Medical professionals recognize and diagnose various diseases. AI teams designed to identify and diagnose specific conditions, like cancer, heart disease, neurological disorders, or orthopedic problems, are known as disease-specific algorithms.
  • The computer-aided detection (CAD) category will likely register a significant CAGR during forecasting. Computer algorithms and software tools help healthcare professionals interpret and analyze medical images. CAD systems are intended to assist radiologists and clinicians in the diagnostic process by highlighting regions of interest or possible abnormalities in medical images.
  • Other applications, such as image segmentation and analysis, treatment planning and monitoring, image-based biomarkers, quality control, reporting and documentation, and predictive analytics, also contribute to the demand for artificial intelligence (AI) in medical imaging in the US.

Segmentation by End Users

  • The hospitals and clinics category will experience the highest CAGR during the projection period. Hospitals and clinics are crucial for the adoption and success of AI in the US medical imaging industry. They are essential in integrating AI technologies into their workflows, which improves patient care, increases diagnostic capability, and advances medical research.
  • Other end users, such as diagnostic imaging centers, research institutions and academic medical centers, biotechnology and pharmaceutical companies, and other healthcare facilities, also contribute to the demand for US artificial intelligence (AI) in medical imaging.

Segmentation by AI Technology Type

  • Machine Learning will likely have the highest CAGR during the projection period. Machine learning in the US artificial intelligence (AI) in the medical imaging market gives medical professionals access to cutting-edge resources and skills, which enhances patient care overall and improves diagnostic accuracy and customized treatment plans.
  • The demand for US artificial intelligence (AI) in medical imaging is further supported by other AI technology categories, including deep learning, computer vision, and natural language processing (NLP).

Segmentation by Service Model

  • During the predicted period, the software as a service (SaaS) model will have the foremost CAGR. Providing artificial intelligence services and applications for medical image analysis via a subscription-based cloud model is referred to as software as a service (SaaS) in the context of medical imaging.
  • Other service models, such as on-premises solutions, also contribute to the demand for US artificial intelligence (AI) in medical imaging.

Governmental organizations create legal frameworks to guarantee the efficacy and safety of AI applications in medical imaging, such as the Food and Drug Administration (FDA) in the United States. End users and healthcare providers are more confident when well-defined and transparent regulations give AI developers a structured way to offer their products to the market. Legal regulations frequently require AI quality assurance procedures in medical imaging. Ensuring AI algorithms consistently meet predetermined performance criteria involves extensive testing, validation studies, and continuous monitoring. Accuracy and dependability are enhanced in AI applications by these quality control techniques.

Companies may be encouraged to invest in developing AI technologies for medical imaging by government incentives like tax credits for research and development (R&D) activities. These incentives create an environment favorable to technological advancements by lowering the financial barriers to innovation.

Key Highlights of the Report

The US artificial intelligence (AI) in medical imaging market is segmented by imaging modality, application, end users, AI technology type, and service model. X-ray imaging is the market spearhead, and disease detection and diagnosis is the top application segment. During the forecast period, the hospitals and clinics category is expected to grow at the highest CAGR, and the machine learning category is anticipated to experience the highest CAGR.

The overall objectives of enhancing patient care, streamlining healthcare procedures, and developing healthcare professionals’ diagnostic imaging skills align with pursuing greater diagnostic accuracy through artificial intelligence. This element plays a major role in the allure and expansion of the AI medical imaging market in the US. It might be difficult for radiologists and other medical professionals to pay consistent attention and focus during extended image analysis sessions. Regarding image interpretation, artificial intelligence (AI) can be useful for reducing human error because it offers a consistent and dependable method, which is especially important for diagnoses that must be made quickly.

AI enables the integration of data from various imaging modalities, enabling a more thorough and precise evaluation of a patient’s condition. This comprehensive approach can increase diagnostic accuracy by considering a larger range of data. Although there may be a significant upfront cost associated with AI technology, cost savings can be realized by avoiding pointless procedures, reducing incorrect diagnoses, and optimizing resource allocation based on accurate diagnoses.

Which Key Factors Are Driving The US Artificial Intelligence (AI) in Medical Imaging Market?

The US artificial intelligence (AI) in medical imaging is growing due to the integration of mobile health (mHealth), the growing aging population, efficiency and time savings, and consumer awareness and demand.

What Are The Key Challenges In The US Market For Artificial Intelligence (AI) in Medical Imaging?

Several challenges, including concerns about data security and privacy, restricted access to a variety of datasets, and moral and legal issues, impede the growth of US artificial intelligence (AI) in the medical imaging market.

What Market Opportunities Exist For US Artificial Intelligence (AI) in Medical Imaging?

Real-time image analysis, timely disease detection, integration of genomic imaging, and automated radiology reporting. These factors create major opportunities for US artificial intelligence (AI) in the medical imaging market.

Market Drivers

Several factors influence the market for US artificial intelligence (AI) in medical imaging. The main factors influencing the market for US artificial intelligence (AI) in medical imaging are as follows:

Growing Demand for Computed Tomography (CT)

One of the best diagnostic tools widely used in many hospitals and research facilities is CT systems, which drive market growth. The market is expanding due to rising demand for Point of Care (POC) CT devices, advancements in AI and ML, and sophisticated visualization systems added to high-precision CT scanners. Consequently, in the US region, this factor supports the growth of the artificial intelligence (AI) market in medical imaging.

In screening programs for the early detection of diseases like lung cancer and cardiovascular disorders, CT scans are frequently used. The need for CT imaging is rising due to increased screening programs and the focus on early detection to enhance treatment outcomes. Artificial intelligence (AI) algorithms can help with the quick and precise analysis of screening images, which can help with the early detection of abnormalities. CT technology is still evolving, and new developments like spectral and multi-detector CT have increased the possibilities of CT imaging. CT scans can now produce images with greater resolution and more precise anatomical data, which increases their potential for diagnosis. The analysis of these advanced imaging datasets can be further enhanced and optimized by incorporating AI into CT workflows.

Market Restraints

Several challenges could prevent the expansion of the US market for artificial intelligence (AI) in medical imaging. Among them are the following:

AI in Medical Imaging is Getting More Expensive

Extensive research and development expenses are associated with creating complex AI models and algorithms for medical imaging applications. Research and development (R&D) can be costly when creating sophisticated, accurate, dependable algorithms that adhere to legal requirements. Using AI in medical imaging frequently requires a strong computational infrastructure, which includes specialized hardware like graphics processing units (GPUs) and high-performance computing resources. This infrastructure can be expensive to purchase and maintain. AI integration may necessitate extensive interoperability and customization to work with current healthcare systems, such as Picture Archiving and Communication Systems (PACS) and Electronic Health Records (EHR). The total cost increases when a smooth integration with these systems is ensured. These factors restrain the growth of US artificial intelligence (AI) in the medical imaging market.

Opportunities

The US market for artificial intelligence (AI) in medical imaging presents significant potential opportunities. The following is an example of these:

Growth in Artificial Intelligence (AI) Firm Investments

Investments in AI companies support creating and growing cutting-edge AI systems designed specifically for medical imaging. With the help of this capital infusion, AI companies can innovate, conduct research, and improve their algorithms, resulting in more complex and efficient medical imaging solutions. AI companies can investigate and broaden the range of AI applications they offer in medical imaging with greater funding. This diversity can include solutions for different imaging modalities, diagnostic specialties, and clinical use cases to meet a wider range of healthcare needs. Investment funding speeds up AI companies’ cycles of product development. As a result, new and enhanced AI applications created especially for medical imaging may be released more quickly, meeting changing healthcare needs and keeping up with consumer demand.

Competitive Landscape

US Artificial Intelligence (AI) in Medical Imaging Market Report

Shape Your Report to Specific Countries or Regions & Enjoy 30% Off!

Key Players

The US market for artificial intelligence (AI) in medical imaging is very competitive, with many powerful players. Some of the leading market participants and their corresponding market shares are listed below:

  • Agfa-Gevaert Group/Agfa HealthCare
  • Arterys
  • AZmed
  • Butterfly Network
  • Caption Health
  • CellmatiQ
  • dentalXrai
  • Digital Diagnostics
  • EchoNous
  • GLEAMER
  • HeartVista
  • iCAD
  • Lunit
  • Mediaire
  • MEDO
  • Nanox Imaging
  • Paige AI
  • Perimeter Medical Imaging AI
  • Predible Health
  • 1QB Information Technology
  • Qure.ai
  • Quantib
  • QLARITY IMAGING
  • Quibim
  • Renalytix
  • Therapixel
  • Ultromics
  • Viz.ai
  • VUNO
  • Others

These companies prioritize mergers and acquisitions, expanding their distribution network, and developing new products to remain competitive.

The leading competitors in the US market for artificial intelligence (AI) in medical imaging constantly seek an advantage by introducing new products and technological advancements.

In August 2022, A next-generation X-ray system called DefiniumTM 656 HD was introduced by GE Healthcare as part of its fixed X-ray product line. With its intelligent workflow suite, flashpad detectors, and AI-powered Helix advanced image processing software, this product provides in-room workflows and motorization.

In June 2021, AI application for neurovascular crises, CINA-LVO, and CINA-ICH was approved by the FDA, according to a Nuance AI marketplace report. This gateway, which offers a single point of access to various AI diagnostic models within the radiology reporting platform, is the biggest and the first of its kind in the United States.

Summary of Key Findings

  • The US artificial intelligence (AI) in the medical imaging market continues to grow due to customized artificial intelligence algorithms.
  • The market is segmented by imaging modality, application, end users, AI technology type, and service model.
  • X-ray imaging is the most preferred imaging modality in the market.
  • In terms of applications, disease diagnosis and detection are the most prevalent.
  • Regarding CAGR, hospitals and clinics are expected to grow fastest during the forecast period.
  • The machine learning category will likely see the highest CAGR during the anticipated time frame.
  • The US artificial intelligence (AI) in medical imaging market is highly competitive, with key players including Agfa-Gevaert Group/Agfa HealthCare, Arterys, AZmed, Butterfly Network, Caption Health, CellmatiQ, dentalXrai, Digital Diagnostics, EchoNous, GLEAMER, HeartVista, iCAD, Lunit, Mediaire, MEDO, Nanox Imaging, Paige AI, Perimeter Medical Imaging AI, Predible Health, 1QB Information Technology, Qure.ai, Quantib, QLARITY IMAGING, Quibim, Renalytix, Therapixel, Ultromics, Viz.ai, VUNO, and others.

Future Outlook

  • Optimistic viewpoint for the US artificial intelligence (AI) in the medical imaging industry with noteworthy growth potential.
  • The increasing awareness among healthcare professionals is one of the main elements driving the expansion of the US artificial intelligence (AI) in the medical imaging market.
  • The lack of standardized terminology might significantly challenge the market’s expansion during the projected period.
  • Foremost companies must concentrate on product innovation, expanding their market reach, and maintaining competitive pricing to stay ahead.

Segmentation

  • By Imaging Modality
    • X-ray Imaging
    • Computed Tomography (CT)
    • Magnetic Resonance Imaging (MRI)
    • Ultrasound Imaging
    • Nuclear Medicine Imaging
    • Other Modalities
  • By Application
    • Disease Detection and Diagnosis
    • Image Segmentation and Analysis
    • Computer-Aided Detection (CAD)
    • Treatment Planning and Monitoring
    • Image-Based Biomarkers
    • Quality Control
    • Reporting and Documentation
    • Predictive Analytics
  • By End Users
    • Hospitals and Clinics
    • Diagnostic Imaging Centers
    • Research Institutions and Academic Medical Centers
    • Biotechnology and Pharmaceutical Companies
    • Other Healthcare Facilities
  • By AI Technology Type
    • Deep Learning
    • Machine Learning
    • Computer Vision
    • Natural Language Processing (NLP)
  • By Service Model
    • Software as a Service (SaaS)
    • On-Premises Solutions

Table of Content
1. Preface
1.1. Report Description
1.1.1. Purpose of the Report
1.1.2. Target Audience
1.1.3. USP and Key Offerings
1.2. Research Scope
1.3. Market Introduction
2. Executive Summary
2.1. Market Snapshot: US Artificial Intelligence (AI) in Medical Imaging Market
2.1.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Imaging Modality
2.1.2. US Artificial Intelligence (AI) in Medical Imaging Market, By Applications
2.1.3. US Artificial Intelligence (AI) in Medical Imaging Market, By End Users
2.1.4. US Artificial Intelligence (AI) in Medical Imaging Market, By AI Technology Type
2.1.5. US Artificial Intelligence (AI) in Medical Imaging Market, By Service Model
2.2. Insights from Primary Respondents
3. Market Dynamics & Factors Analysis
3.1. Introduction
3.1.1. US Artificial Intelligence (AI) in Medical Imaging Market Value, 2017-2030, (US$ Mn)
3.1.2. Y-o-Y Growth Trend Analysis
3.2. Market Dynamics
3.2.1. Artificial Intelligence (AI) in Medical Imaging Market Drivers
3.2.2. Artificial Intelligence (AI) in Medical Imaging Market Restraints
3.2.3. Artificial Intelligence (AI) in Medical Imaging Market Opportunities
3.2.4. Major Artificial Intelligence (AI) in Medical Imaging Industry Challenges
3.3. Growth and Development Patterns
3.4. Investment Feasibility Analysis
3.5. Market Opportunity Analysis
3.5.1. Imaging Modality
3.5.2. Applications
3.5.3. End Users
3.5.4. AI Technology Type
3.5.5. Service Model
4. Market Competitive Landscape Analysis
4.1. Company Market Share Analysis, 2022
4.1.1. US Artificial Intelligence (AI) in Medical Imaging Market: Company Market Share, Value 2022
4.1.2. US Artificial Intelligence (AI) in Medical Imaging Market: Top 6 Company Market Share, Value 2022
4.1.3. US Artificial Intelligence (AI) in Medical Imaging Market: Top 3 Company Market Share, Value 2022
4.2. US Artificial Intelligence (AI) in Medical Imaging Market: Company Revenue Share Analysis, 2022
4.3. Company Assessment Metrics, 2022
4.3.1. Stars
4.3.2. Emerging Leaders
4.3.3. Pervasive Players
4.3.4. Participants
4.4. Startups/ SMEs Assessment Metrics, 2022
4.4.1. Progressive Companies
4.4.2. Responsive Companies
4.4.3. Dynamic Companies
4.4.4. Starting Blocks
4.5. Strategic Development
4.5.1. Acquisition and Mergers
4.5.2. New Product Launch
4.5.3. Regional Expansion
4.5.4. Partnerships
4.6. Key Player Product Matrix
4.7. Potential for New Players in the US Artificial Intelligence (AI) in Medical Imaging Market
5. Premium Insights
5.1. STAR (Situation, Task, Action, Results) Analysis
5.2. Porter’s Five Forces Analysis
5.2.1. Threat of New Entrants
5.2.2. Bargaining Power of Buyers/Consumers
5.2.3. Bargaining Power of Suppliers
5.2.4. Threat of Substitute Types
5.2.5. Intensity of Competitive Rivalry
5.3. PESTEL Analysis
5.3.1. Political Factors
5.3.2. Economic Factors
5.3.3. Social Factors
5.3.4. Technological Factors
5.3.5. Environmental Factors
5.3.6. Legal Factors
5.4. Key Market Trends
5.4.1. Demand Side Trends
5.4.2. Supply Side Trends
5.5. Value Chain Analysis
5.6. Technology Analysis
5.6.1. Research and development in the US Market
5.6.2. Patent Analysis
5.6.3. Emerging technologies and their potential disruption to the market
5.7. Consumer Behaviour Analysis
5.7.1. Consumer Preferences and Expectations
5.7.2. Factors Influencing Consumer Buying Decisions
5.7.3. Consumer Pain Points
5.8. Analysis and Recommendations
5.9. Adjacent Market Analysis
6. Market Positioning of Key Players, 2022
6.1. Company market share of key players, 2022
6.2. Competitive Benchmarking
6.3. Market Positioning of Key Vendors
6.4. Geographical Presence Analysis
6.5. Major Strategies Adopted by Key Players
6.5.1. Key Strategies Analysis
6.5.2. Mergers and Acquisitions
6.5.3. Partnerships
6.5.4. Product Launch
6.5.5. Geographical Expansion
6.5.6. Others
7. Impact Analysis of COVID 19 and Russia – Ukraine War on US Artificial Intelligence (AI) in Medical Imaging Market
7.1. Ukraine-Russia War Impact
7.1.1. Uncertainty and Economic Instability
7.1.2. Supply chain disruptions
7.1.3. Regional market shifts
7.1.4. Shift in government priorities
7.2. COVID-19 Impact Analysis
7.2.1. Supply Chain Disruptions
7.2.2. Demand Fluctuations
7.2.3. Shift in Product Mix
7.2.4. Reduced Industrial Activity
7.2.5. Impact Analysis
7.2.5.1. US
8. US Artificial Intelligence (AI) in Medical Imaging Market, By Imaging Modality
8.1. US Artificial Intelligence (AI) in Medical Imaging Market Overview, by Imaging Modality
8.1.1. US Artificial Intelligence (AI) in Medical Imaging Market Revenue Share, By Imaging Modality, 2022 Vs 2030 (in %)
8.2. X-ray Imaging
8.2.1. US Artificial Intelligence (AI) in Medical Imaging Market, By X-ray Imaging, 2017-2030 (US$ Mn)
8.2.2. Market Dynamics for X-ray Imaging
8.2.2.1. Drivers
8.2.2.2. Restraints
8.2.2.3. Opportunities
8.2.2.4. Trends
8.3. Computed Tomography (CT)
8.3.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Computed Tomography (CT), 2017-2030 (US$ Mn)
8.3.2. Market Dynamics for Computed Tomography (CT)
8.3.2.1. Drivers
8.3.2.2. Restraints
8.3.2.3. Opportunities
8.3.2.4. Trends
8.4. Magnetic Resonance Imaging (MRI)
8.4.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Magnetic Resonance Imaging (MRI), 2017-2030 (US$ Mn)
8.4.2. Market Dynamics for Magnetic Resonance Imaging (MRI)
8.4.2.1. Drivers
8.4.2.2. Restraints
8.4.2.3. Opportunities
8.4.2.4. Trends
8.5. Ultrasound Imaging
8.5.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Ultrasound Imaging, 2017-2030 (US$ Mn)
8.5.2. Market Dynamics for Ultrasound Imaging
8.5.2.1. Drivers
8.5.2.2. Restraints
8.5.2.3. Opportunities
8.5.2.4. Trends
8.6. Nuclear Medicine Imaging
8.6.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Nuclear Medicine Imaging, 2017-2030 (US$ Mn)
8.6.2. Market Dynamics for Nuclear Medicine Imaging
8.6.2.1. Drivers
8.6.2.2. Restraints
8.6.2.3. Opportunities
8.6.2.4. Trends
8.7. Other Modalities
8.7.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Other Modalities, 2017-2030 (US$ Mn)
8.7.2. Market Dynamics for Other Modalities
8.7.2.1. Drivers
8.7.2.2. Restraints
8.7.2.3. Opportunities
8.7.2.4. Trends
9. US Artificial Intelligence (AI) in Medical Imaging Market, By Applications
9.1. US Artificial Intelligence (AI) in Medical Imaging Market Overview, by Applications
9.1.1. US Artificial Intelligence (AI) in Medical Imaging Market Revenue Share, By Applications, 2022 Vs 2030 (in %)
9.2. Disease Detection and Diagnosis
9.2.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Disease Detection and Diagnosis, 2017-2030 (US$ Mn)
9.2.2. Market Dynamics for Disease Detection and Diagnosis
9.2.2.1. Drivers
9.2.2.2. Restraints
9.2.2.3. Opportunities
9.2.2.4. Trends
9.3. Image Segmentation and Analysis
9.3.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Image Segmentation and Analysis, 2017-2030 (US$ Mn)
9.3.2. Market Dynamics for Image Segmentation and Analysis
9.3.2.1. Drivers
9.3.2.2. Restraints
9.3.2.3. Opportunities
9.3.2.4. Trends
9.4. Computer-Aided Detection (CAD)
9.4.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Computer-Aided Detection (CAD), 2017-2030 (US$ Mn)
9.4.2. Market Dynamics for Computer-Aided Detection (CAD)
9.4.2.1. Drivers
9.4.2.2. Restraints
9.4.2.3. Opportunities
9.4.2.4. Trends
9.5. Treatment Planning and Monitoring
9.5.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Treatment Planning and Monitoring, 2017-2030 (US$ Mn)
9.5.2. Market Dynamics for Treatment Planning and Monitoring
9.5.2.1. Drivers
9.5.2.2. Restraints
9.5.2.3. Opportunities
9.5.2.4. Trends
9.6. Image-Based Biomarkers
9.6.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Image-Based Biomarkers, 2017-2030 (US$ Mn)
9.6.2. Market Dynamics for Image-Based Biomarkers
9.6.2.1. Drivers
9.6.2.2. Restraints
9.6.2.3. Opportunities
9.6.2.4. Trends
9.7. Quality Control
9.7.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Quality Control, 2017-2030 (US$ Mn)
9.7.2. Market Dynamics for Quality Control
9.7.2.1. Drivers
9.7.2.2. Restraints
9.7.2.3. Opportunities
9.7.2.4. Trends
9.8. Reporting and Documentation
9.8.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Reporting and Documentation, 2017-2030 (US$ Mn)
9.8.2. Market Dynamics for Reporting and Documentation
9.8.2.1. Drivers
9.8.2.2. Restraints
9.8.2.3. Opportunities
9.8.2.4. Trends
9.9. Predictive Analytics
9.9.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Predictive Analytics, 2017-2030 (US$ Mn)
9.9.2. Market Dynamics for Predictive Analytics
9.9.2.1. Drivers
9.9.2.2. Restraints
9.9.2.3. Opportunities
9.9.2.4. Trends
10. US Artificial Intelligence (AI) in Medical Imaging Market, By End Users
10.1. US Artificial Intelligence (AI) in Medical Imaging Market Overview, by End Users
10.1.1. US Artificial Intelligence (AI) in Medical Imaging Market Revenue Share, By End Users, 2022 Vs 2030 (in %)
10.2. Hospitals and Clinics
10.2.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Hospitals and Clinics, 2017-2030 (US$ Mn)
10.2.2. Market Dynamics for Hospitals and Clinics
10.2.2.1. Drivers
10.2.2.2. Restraints
10.2.2.3. Opportunities
10.2.2.4. Trends
10.3. Diagnostic Imaging Centers
10.3.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Diagnostic Imaging Centers, 2017-2030 (US$ Mn)
10.3.2. Market Dynamics for Diagnostic Imaging Centers
10.3.2.1. Drivers
10.3.2.2. Restraints
10.3.2.3. Opportunities
10.3.2.4. Trends
10.4. Research Institutions and Academic Medical Centers
10.4.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Research Institutions and Academic Medical Centers, 2017-2030 (US$ Mn)
10.4.2. Market Dynamics for Research Institutions and Academic Medical Centers
10.4.2.1. Drivers
10.4.2.2. Restraints
10.4.2.3. Opportunities
10.4.2.4. Trends
10.5. Biotechnology and Pharmaceutical Companies
10.5.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Biotechnology and Pharmaceutical Companies, 2017-2030 (US$ Mn)
10.5.2. Market Dynamics for Biotechnology and Pharmaceutical Companies
10.5.2.1. Drivers
10.5.2.2. Restraints
10.5.2.3. Opportunities
10.5.2.4. Trends
10.6. Other Healthcare Facilities
10.6.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Other Healthcare Facilities, 2017-2030 (US$ Mn)
10.6.2. Market Dynamics for Other Healthcare Facilities
10.6.2.1. Drivers
10.6.2.2. Restraints
10.6.2.3. Opportunities
10.6.2.4. Trends
11. US Artificial Intelligence (AI) in Medical Imaging Market, By AI Technology Type
11.1. US Artificial Intelligence (AI) in Medical Imaging Market Overview, by AI Technology Type
11.1.1. US Artificial Intelligence (AI) in Medical Imaging Market Revenue Share, By AI Technology Type, 2022 Vs 2030 (in %)
11.2. Deep Learning
11.2.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Deep Learning, 2017-2030 (US$ Mn)
11.2.2. Market Dynamics for Deep Learning
11.2.2.1. Drivers
11.2.2.2. Restraints
11.2.2.3. Opportunities
11.2.2.4. Trends
11.3. Machine Learning
11.3.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Machine Learning, 2017-2030 (US$ Mn)
11.3.2. Market Dynamics for Machine Learning
11.3.2.1. Drivers
11.3.2.2. Restraints
11.3.2.3. Opportunities
11.3.2.4. Trends
11.4. Computer Vision
11.4.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Computer Vision, 2017-2030 (US$ Mn)
11.4.2. Market Dynamics for Computer Vision
11.4.2.1. Drivers
11.4.2.2. Restraints
11.4.2.3. Opportunities
11.4.2.4. Trends
11.5. Natural Language Processing (NLP)
11.5.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Natural Language Processing (NLP), 2017-2030 (US$ Mn)
11.5.2. Market Dynamics for Natural Language Processing (NLP)
11.5.2.1. Drivers
11.5.2.2. Restraints
11.5.2.3. Opportunities
11.5.2.4. Trends
12. US Artificial Intelligence (AI) in Medical Imaging Market, By Service Model
12.1. US Artificial Intelligence (AI) in Medical Imaging Market Overview, by Service Model
12.1.1. US Artificial Intelligence (AI) in Medical Imaging Market Revenue Share, By Service Model, 2022 Vs 2030 (in %)
12.2. Software as a Service (SaaS)
12.2.1. US Artificial Intelligence (AI) in Medical Imaging Market, By Software as a Service (SaaS), 2017-2030 (US$ Mn)
12.2.2. Market Dynamics for Software as a Service (SaaS)
12.2.2.1. Drivers
12.2.2.2. Restraints
12.2.2.3. Opportunities
12.2.2.4. Trends
12.3. On-Premises Solutions
12.3.1. US Artificial Intelligence (AI) in Medical Imaging Market, By On-Premises Solutions, 2017-2030 (US$ Mn)
12.3.2. Market Dynamics for On-Premises Solutions
12.3.2.1. Drivers
12.3.2.2. Restraints
12.3.2.3. Opportunities
12.3.2.4. Trends
13. Company Profiles
13.1. Agfa-Gevaert Group/Agfa HealthCare
13.1.1. Company Overview
13.1.2. Products/Services Portfolio
13.1.3. Geographical Presence
13.1.4. SWOT Analysis
13.1.5. Financial Summary
13.1.5.1. Market Revenue and Net Profit (2019-2022)
13.1.5.2. Business Segment Revenue Analysis
13.1.5.3. Geographical Revenue Analysis
13.2. Arterys
13.3. AZmed
13.4. Butterfly Network
13.5. Caption Health
13.6. CellmatiQ
13.7. dentalXrai
13.8. Digital Diagnostics
13.9. EchoNous
13.10. GLEAMER
13.11. HeartVista
13.12. iCAD
13.13. Lunit
13.14. Mediaire
13.15. MEDO
13.16. Nanox Imaging
13.17. Paige AI
13.18. Perimeter Medical Imaging AI
13.19. Predible Health
13.20. 1QB Information Technology
13.21. Qure.ai
13.22. Quantib
13.23. QLARITY IMAGING
13.24. Quibim
13.25. Renalytix
13.26. Therapixel
13.27. Ultromics
13.28. Viz.ai
13.29. VUNO
13.30. Others
14. Research Methodology
14.1. Research Methodology
14.2. Phase I – Secondary Research
14.3. Phase II – Data Modelling
14.3.1. Company Share Analysis Model
14.3.2. Revenue Based Modelling
14.4. Phase III – Primary Research
14.5. Research Limitations
14.5.1. Assumptions

List of Figures
FIG. 1 US Artificial Intelligence (AI) in Medical Imaging Market: Research Methodology
FIG. 2 Market Size Estimation – Top Down & Bottom up Approach
FIG. 3 US Artificial Intelligence (AI) in Medical Imaging Market Segmentation
FIG. 4 US Artificial Intelligence (AI) in Medical Imaging Market, by Imaging Modality, 2022 (US$ Mn)
FIG. 5 US Artificial Intelligence (AI) in Medical Imaging Market, by Applications, 2022 (US$ Mn)
FIG. 6 US Artificial Intelligence (AI) in Medical Imaging Market, by End Users, 2022 (US$ Mn)
FIG. 7 US Artificial Intelligence (AI) in Medical Imaging Market, by AI Technology Type, 2022 (US$ Mn)
FIG. 8 US Artificial Intelligence (AI) in Medical Imaging Market, by Service Model, 2022 (US$ Mn)
FIG. 9 Attractive Investment Proposition, by Imaging Modality, 2022
FIG. 10 Attractive Investment Proposition, by Applications, 2022
FIG. 11 Attractive Investment Proposition, by End Users, 2022
FIG. 12 Attractive Investment Proposition, by AI Technology Type, 2022
FIG. 13 Attractive Investment Proposition, by Service Model, 2022
FIG. 14 US Market Share Analysis of Key Artificial Intelligence (AI) in Medical Imaging Market Manufacturers, 2022
FIG. 15 US Market Positioning of Key Artificial Intelligence (AI) in Medical Imaging Market Manufacturers, 2022
FIG. 16 US Artificial Intelligence (AI) in Medical Imaging Market Value Contribution, By Imaging Modality, 2022 & 2030 (Value %)
FIG. 17 US Artificial Intelligence (AI) in Medical Imaging Market, by X-ray Imaging, Value, 2017-2030 (US$ Mn)
FIG. 18 US Artificial Intelligence (AI) in Medical Imaging Market, by Computed Tomography (CT), Value, 2017-2030 (US$ Mn)
FIG. 19 US Artificial Intelligence (AI) in Medical Imaging Market, by Magnetic Resonance Imaging (MRI), Value, 2017-2030 (US$ Mn)
FIG. 20 US Artificial Intelligence (AI) in Medical Imaging Market, by Ultrasound Imaging, Value, 2017-2030 (US$ Mn)
FIG. 21 US Artificial Intelligence (AI) in Medical Imaging Market, by Nuclear Medicine Imaging, Value, 2017-2030 (US$ Mn)
FIG. 22 US Artificial Intelligence (AI) in Medical Imaging Market, by Other Modalities, Value, 2017-2030 (US$ Mn)
FIG. 23 US Artificial Intelligence (AI) in Medical Imaging Market Value Contribution, By Applications, 2022 & 2030 (Value %)
FIG. 24 US Artificial Intelligence (AI) in Medical Imaging Market, by Disease Detection and Diagnosis, Value, 2017-2030 (US$ Mn)
FIG. 25 US Artificial Intelligence (AI) in Medical Imaging Market, by Image Segmentation and Analysis, Value, 2017-2030 (US$ Mn)
FIG. 26 US Artificial Intelligence (AI) in Medical Imaging Market, by Computer-Aided Detection (CAD), Value, 2017-2030 (US$ Mn)
FIG. 27 US Artificial Intelligence (AI) in Medical Imaging Market, by Treatment Planning and Monitoring, Value, 2017-2030 (US$ Mn)
FIG. 28 US Artificial Intelligence (AI) in Medical Imaging Market, by Image-Based Biomarkers, Value, 2017-2030 (US$ Mn)
FIG. 29 US Artificial Intelligence (AI) in Medical Imaging Market, by Quality Control, Value, 2017-2030 (US$ Mn)
FIG. 30 US Artificial Intelligence (AI) in Medical Imaging Market, by Reporting and Documentation, Value, 2017-2030 (US$ Mn)
FIG. 31 US Artificial Intelligence (AI) in Medical Imaging Market, by Predictive Analytics, Value, 2017-2030 (US$ Mn)
FIG. 32 US Artificial Intelligence (AI) in Medical Imaging Market Value Contribution, By End Users, 2022 & 2030 (Value %)
FIG. 33 US Artificial Intelligence (AI) in Medical Imaging Market, by Hospitals and Clinics, Value, 2017-2030 (US$ Mn)
FIG. 34 US Artificial Intelligence (AI) in Medical Imaging Market, by Diagnostic Imaging Centers, Value, 2017-2030 (US$ Mn)
FIG. 35 US Artificial Intelligence (AI) in Medical Imaging Market, by Research Institutions and Academic Medical Centers, Value, 2017-2030 (US$ Mn)
FIG. 36 US Artificial Intelligence (AI) in Medical Imaging Market, by Biotechnology and Pharmaceutical Companies, Value, 2017-2030 (US$ Mn)
FIG. 37 US Artificial Intelligence (AI) in Medical Imaging Market, by Other Healthcare Facilities, Value, 2017-2030 (US$ Mn)
FIG. 38 US Artificial Intelligence (AI) in Medical Imaging Market Value Contribution, By AI Technology Type, 2022 & 2030 (Value %)
FIG. 39 US Artificial Intelligence (AI) in Medical Imaging Market, by Deep Learning, Value, 2017-2030 (US$ Mn)
FIG. 40 US Artificial Intelligence (AI) in Medical Imaging Market, by Machine Learning, Value, 2017-2030 (US$ Mn)
FIG. 41 US Artificial Intelligence (AI) in Medical Imaging Market, by Computer Vision, Value, 2017-2030 (US$ Mn)
FIG. 42 US Artificial Intelligence (AI) in Medical Imaging Market, by Natural Language Processing (NLP), Value, 2017-2030 (US$ Mn)
FIG. 43 US Artificial Intelligence (AI) in Medical Imaging Market Value Contribution, By Service Model, 2022 & 2030 (Value %)
FIG. 44 US Artificial Intelligence (AI) in Medical Imaging Market, by Software as a Service (SaaS), Value, 2017-2030 (US$ Mn)
FIG. 45 US Artificial Intelligence (AI) in Medical Imaging Market, by On-Premises Solutions, Value, 2017-2030 (US$ Mn)

List of Tables
TABLE 1 Market Snapshot: US Artificial Intelligence (AI) in Medical Imaging Market
TABLE 2 US Artificial Intelligence (AI) in Medical Imaging Market: Market Drivers Impact Analysis
TABLE 3 US Artificial Intelligence (AI) in Medical Imaging Market: Market Restraints Impact Analysis
TABLE 4 US Artificial Intelligence (AI) in Medical Imaging Market, by Competitive Benchmarking, 2022
TABLE 5 US Artificial Intelligence (AI) in Medical Imaging Market, by Geographical Presence Analysis, 2022
TABLE 6 US Artificial Intelligence (AI) in Medical Imaging Market, by Key Strategies Analysis, 2022
TABLE 7 US Artificial Intelligence (AI) in Medical Imaging Market, by X-ray Imaging, 2017-2022 (US$ Mn)
TABLE 8 US Artificial Intelligence (AI) in Medical Imaging Market, by X-ray Imaging, 2023-2030 (US$ Mn)
TABLE 9 US Artificial Intelligence (AI) in Medical Imaging Market, by Computed Tomography (CT), 2017-2022 (US$ Mn)
TABLE 10 US Artificial Intelligence (AI) in Medical Imaging Market, by Computed Tomography (CT), 2023-2030 (US$ Mn)
TABLE 11 US Artificial Intelligence (AI) in Medical Imaging Market, by Magnetic Resonance Imaging (MRI), 2017-2022 (US$ Mn)
TABLE 12 US Artificial Intelligence (AI) in Medical Imaging Market, by Magnetic Resonance Imaging (MRI), 2023-2030 (US$ Mn)
TABLE 13 US Artificial Intelligence (AI) in Medical Imaging Market, by Ultrasound Imaging, 2017-2022 (US$ Mn)
TABLE 14 US Artificial Intelligence (AI) in Medical Imaging Market, by Ultrasound Imaging, 2023-2030 (US$ Mn)
TABLE 15 US Artificial Intelligence (AI) in Medical Imaging Market, by Nuclear Medicine Imaging, 2017-2022 (US$ Mn)
TABLE 16 US Artificial Intelligence (AI) in Medical Imaging Market, by Nuclear Medicine Imaging, 2023-2030 (US$ Mn)
TABLE 17 US Artificial Intelligence (AI) in Medical Imaging Market, by Other Modalities, 2017-2022 (US$ Mn)
TABLE 18 US Artificial Intelligence (AI) in Medical Imaging Market, by Other Modalities, 2023-2030 (US$ Mn)
TABLE 19 US Artificial Intelligence (AI) in Medical Imaging Market, by Disease Detection and Diagnosis, 2017-2022 (US$ Mn)
TABLE 20 US Artificial Intelligence (AI) in Medical Imaging Market, by Disease Detection and Diagnosis, 2023-2030 (US$ Mn)
TABLE 21 US Artificial Intelligence (AI) in Medical Imaging Market, by Image Segmentation and Analysis, 2017-2022 (US$ Mn)
TABLE 22 US Artificial Intelligence (AI) in Medical Imaging Market, by Image Segmentation and Analysis, 2023-2030 (US$ Mn)
TABLE 23 US Artificial Intelligence (AI) in Medical Imaging Market, by Computer-Aided Detection (CAD), 2017-2022 (US$ Mn)
TABLE 24 US Artificial Intelligence (AI) in Medical Imaging Market, by Computer-Aided Detection (CAD), 2023-2030 (US$ Mn)
TABLE 25 US Artificial Intelligence (AI) in Medical Imaging Market, by Treatment Planning and Monitoring, 2017-2022 (US$ Mn)
TABLE 26 US Artificial Intelligence (AI) in Medical Imaging Market, by Treatment Planning and Monitoring, 2023-2030 (US$ Mn)
TABLE 27 US Artificial Intelligence (AI) in Medical Imaging Market, by Image-Based Biomarkers, 2017-2022 (US$ Mn)
TABLE 28 US Artificial Intelligence (AI) in Medical Imaging Market, by Image-Based Biomarkers, 2023-2030 (US$ Mn)
TABLE 29 US Artificial Intelligence (AI) in Medical Imaging Market, by Quality Control, 2017-2022 (US$ Mn)
TABLE 30 US Artificial Intelligence (AI) in Medical Imaging Market, by Quality Control, 2023-2030 (US$ Mn)
TABLE 31 US Artificial Intelligence (AI) in Medical Imaging Market, by Reporting and Documentation, 2017-2022 (US$ Mn)
TABLE 32 US Artificial Intelligence (AI) in Medical Imaging Market, by Reporting and Documentation, 2023-2030 (US$ Mn)
TABLE 33 US Artificial Intelligence (AI) in Medical Imaging Market, by Predictive Analytics, 2017-2022 (US$ Mn)
TABLE 34 US Artificial Intelligence (AI) in Medical Imaging Market, by Predictive Analytics, 2023-2030 (US$ Mn)
TABLE 35 US Artificial Intelligence (AI) in Medical Imaging Market, by Hospitals and Clinics, 2017-2022 (US$ Mn)
TABLE 36 US Artificial Intelligence (AI) in Medical Imaging Market, by Hospitals and Clinics, 2023-2030 (US$ Mn)
TABLE 37 US Artificial Intelligence (AI) in Medical Imaging Market, by Diagnostic Imaging Centers, 2017-2022 (US$ Mn)
TABLE 38 US Artificial Intelligence (AI) in Medical Imaging Market, by Diagnostic Imaging Centers, 2023-2030 (US$ Mn)
TABLE 39 US Artificial Intelligence (AI) in Medical Imaging Market, by Research Institutions and Academic Medical Centers, 2017-2022 (US$ Mn)
TABLE 40 US Artificial Intelligence (AI) in Medical Imaging Market, by Research Institutions and Academic Medical Centers, 2023-2030 (US$ Mn)
TABLE 41 US Artificial Intelligence (AI) in Medical Imaging Market, by Biotechnology and Pharmaceutical Companies, 2017-2022 (US$ Mn)
TABLE 42 US Artificial Intelligence (AI) in Medical Imaging Market, by Biotechnology and Pharmaceutical Companies, 2023-2030 (US$ Mn)
TABLE 43 US Artificial Intelligence (AI) in Medical Imaging Market, by Other Healthcare Facilities, 2017-2022 (US$ Mn)
TABLE 44 US Artificial Intelligence (AI) in Medical Imaging Market, by Other Healthcare Facilities, 2023-2030 (US$ Mn)

TABLE 45 US Artificial Intelligence (AI) in Medical Imaging Market, by Deep Learning, 2017-2022 (US$ Mn)
TABLE 46 US Artificial Intelligence (AI) in Medical Imaging Market, by Deep Learning, 2023-2030 (US$ Mn)
TABLE 47 US Artificial Intelligence (AI) in Medical Imaging Market, by Machine Learning, 2017-2022 (US$ Mn)
TABLE 48 US Artificial Intelligence (AI) in Medical Imaging Market, by Machine Learning, 2023-2030 (US$ Mn)
TABLE 49 US Artificial Intelligence (AI) in Medical Imaging Market, by Computer Vision, 2017-2022 (US$ Mn)
TABLE 50 US Artificial Intelligence (AI) in Medical Imaging Market, by Computer Vision, 2023-2030 (US$ Mn)
TABLE 51 US Artificial Intelligence (AI) in Medical Imaging Market, by Natural Language Processing (NLP), 2017-2022 (US$ Mn)
TABLE 52 US Artificial Intelligence (AI) in Medical Imaging Market, by Natural Language Processing (NLP), 2023-2030 (US$ Mn)
TABLE 53 US Artificial Intelligence (AI) in Medical Imaging Market, by Software as a Service (SaaS), 2017-2022 (US$ Mn)
TABLE 54 US Artificial Intelligence (AI) in Medical Imaging Market, by Software as a Service (SaaS), 2023-2030 (US$ Mn)
TABLE 55 US Artificial Intelligence (AI) in Medical Imaging Market, by On-Premises Solutions, 2017-2022 (US$ Mn)
TABLE 56 US Artificial Intelligence (AI) in Medical Imaging Market, by On-Premises Solutions, 2023-2030 (US$ Mn)
TABLE 57 US Artificial Intelligence (AI) in Medical Imaging Market, by Imaging Modality, 2017-2022 (US$ Mn)
TABLE 58 US Artificial Intelligence (AI) in Medical Imaging Market, by Imaging Modality, 2023-2030 (US$ Mn)
TABLE 59 US Artificial Intelligence (AI) in Medical Imaging Market, by Applications, 2017-2022 (US$ Mn)
TABLE 60 US Artificial Intelligence (AI) in Medical Imaging Market, by Applications, 2023-2030 (US$ Mn)
TABLE 61 US Artificial Intelligence (AI) in Medical Imaging Market, by End Users, 2017-2022 (US$ Mn)
TABLE 62 US Artificial Intelligence (AI) in Medical Imaging Market, by End Users, 2023-2030 (US$ Mn)
TABLE 63 US Artificial Intelligence (AI) in Medical Imaging Market, by AI Technology Type, 2017-2022 (US$ Mn)
TABLE 64 US Artificial Intelligence (AI) in Medical Imaging Market, by AI Technology Type, 2023-2030 (US$ Mn)
TABLE 65 US Artificial Intelligence (AI) in Medical Imaging Market, by Service Model, 2017-2022 (US$ Mn)
TABLE 66 US Artificial Intelligence (AI) in Medical Imaging Market, by Service Model, 2023-2030 (US$ Mn)

How big is the US market for artificial intelligence (AI) in medical imaging right now?

In 2022, the US artificial intelligence (AI) in medical imaging market was estimated to be worth USD 330.59 mn in 2022.

What is the anticipated growth rate of US artificial intelligence (AI) in the medical imaging market from 2023 to 2030?

The US artificial intelligence (AI) in medical imaging market is anticipated to increase at a CAGR of 32.24% from 2023 to 2030, reaching USD 3,140.90 mn in 2030.

Which market category is in the lead for the imaging modality?

X-ray imaging is the most popular category of imaging modality

Which segment is leading the market in terms of application?

The notable segment is disease detection and diagnosis by application.

Which end-user segment is estimated to have the highest CAGR throughout the forecast period?

The hospitals and clinics categories are anticipated to exhibit the highest CAGR during the projection period.

Single Use Upstream Bioprocessing Technology Market

Published:
Report ID: 41061

Viral Clearance and Testing Services Market

Published:
Report ID: 41070

Rare Kidney Diseases Market

Published:
Report ID: 41082

Single Use Bioreactors Market

Published:
Report ID: 41087

Oral Solid Dosage Manufacturing Market

Published:
Report ID: 41090

Plasmid DNA Manufacturing Market

Published:
Report ID: 41100

Nanoparticle Formulation Market

Published:
Report ID: 41106

Next Generation Drug Conjugates Market

Published:
Report ID: 41115

Lab Automation Market

Published:
Report ID: 41013

Sober Living Homes Market

Published:
Report ID: 40991

Radiopharmaceuticals Market

Published:
Report ID: 40978

Aptamers Therapeutics Technologies and Services Market

Published:
Report ID: 40945

Purchase Options

$999
Delivery Format: Excel.
$1999
Designed for the individual purchaser.
$2999
Users located at a single corporate site or regional office.
$3999
Allowed for unlimited sharing globally within one company.
Smallform of Sample request

Have a question?

User Profile

Don’t settle for less – trust Mitul to help you find the best solution.

Report delivery within 24 to 48 hours

– Other Info –

What people say?-

User Review

I am very impressed with the information in this report. The author clearly did their research when they came up with this product and it has already given me a lot of ideas.

Jana Schmidt
CEDAR CX Technologies

– Connect with us –

Phone

+91 6232 49 3207


support

24/7 Research Support


sales@credenceresearch.com

– Research Methodology –

Going beyond the basics: advanced techniques in research methodology

– Trusted By –

Pepshi, LG, Nestle
Motorola, Honeywell, Johnson and johnson
LG Chem, SIEMENS, Pfizer
Unilever, Samsonite, QIAGEN