AI-enabled Medical Imaging Market, Global, 2024 2028

AI-enabled Medical Imaging Market, Global, 2024 2028

AI Tools for Imaging in Cardiology and Neurology Are Driving Transformational Growth

RELEASE DATE
26-Aug-2024
REGION
Global
Deliverable Type
Market Research
Research Code: PFIF-01-00-00-00
SKU: HC_2024_942
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$4,950.00
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SKU
HC_2024_942

AI-enabled Medical Imaging Market, Global, 2024 2028
Published on: 26-Aug-2024 | SKU: HC_2024_942

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The medical imaging industry faces significant challenges, such as radiologists’ increasing workload, the complexity of tasks, and the global shortage of staff, including radiologists. The number of imaging exams being conducted globally is increasing due to advancements in medical imaging and the growing complexity of medical cases, which burdens radiologists with a massive workload. Hospitals and healthcare systems also face rising costs associated with advanced imaging techniques and the need to balance these expenses against the value provided, without leading to overdiagnosis or overtreatment.

Interest in automation and AI integration is on the rise for the technologies’ potential to reduce the burden on radiologists and free them to focus on the most critical tasks. Use of AI tools in radiology can improve workflow management and the current standard of care by reducing the overall scanning time while increasing accuracy. AI tools also have the potential to streamline administrative processes through improved patient information systems, making healthcare systems more efficient and patient-focused.

This study focuses on the growing adoption of AI solutions in medical imaging that are used in multiple clinical application areas and across different modalities. The following clinical application segments are analyzed in the report: cardiology, neurology, pulmonology, breast, musculoskeletal (MSK), abdomen and pelvis, and others.

The study period is 2022 to 2028, with 2023 as the base year and 2024 to 2028 as the forecast period. The study offers an overview of the global AI-enabled medical imaging market, focusing on current scenarios, drivers and restraints, the latest technologies, and notable participants. Frost & Sullivan offers stakeholders insights into the AI-enabled medical imaging market to help them monetize opportunities arising from this dynamic landscape during the next few years.

Author: Anantharaman Viswanathan

Why Is It Increasingly Difficult to Grow?

The Strategic Imperative 8™

The Impact of the Top 3 Strategic Imperatives on the AI-enabled Medical Imaging Industry

Scope of Analysis

Definitions: AI-enabled olutions by Modality

Segmentation: AI-enabled olutions by Clinical Application

Segmentation by Geography

Competitive Environment

Key Competitors

Key Competitors by Clinical Application

Key Competitors by Application (continued)

Summary

Growth Metrics

Growth Drivers

Growth Restraints

Forecast Considerations

Revenue Forecast

Revenue Forecast by Clinical Application

Revenue Forecast by Region

Revenue Forecast Analysis

Pricing Trends and Forecast Analysis

Revenue Share

Revenue Share Analysis

Revenue Share by Clinical Application

Percent Share of AI Solutions by Clinical Application

Percent Share of AI Solutions by Modality

US FDA and EU CE Approval for AI Solutions

Key AI Solutions with Reimbursement in the US

Key AI Solutions with Reimbursement in the US (continued)

Growth Metrics

Revenue Forecast

Revenue Forecast by Region

Percent Share of AI Products by Functionality

Forecast Analysis

Competitive Landscape

Growth Metrics

Revenue Forecast

Revenue Forecast by Region

Percent Share of AI Products by Functionality

Forecast Analysis

Competitive Landscape

Competitive Landscape (continued)

Competitive Landscape (continued)

Growth Metrics

Revenue Forecast

Revenue Forecast by Region

Percent Share of AI Products by Functionality

Forecast Analysis

Competitive Landscape

Competitive Landscape (continued)

Growth Metrics

Revenue Forecast

Revenue Forecast by Region

Percent Share of AI Product by Functionality

Forecast Analysis

Competitive Landscape

Growth Metrics

Revenue Forecast

Revenue Forecast by Region

Percent Share of AI Products by Functionality

Forecast Analysis

Competitive Landscape

Competitive Landscape (continued)

Growth Metrics

Revenue Forecast

Revenue Forecast by Region

Percent Share of AI Products by Functionality

Forecast Analysis

Competitive Landscape

Competitive Landscape (continued)

Growth Metrics

Revenue Forecast

Revenue Forecast by Region

Percent Share of AI Products by Functionality

Forecast Analysis

Competitive Landscape

Growth Opportunity 1: AI-enabled Medical Imaging in Population-based Screening

Growth Opportunity 1: AI-enabled Medical Imaging in Population-based Screening (continued)

Growth Opportunity 2: AI Solutions for ARIA Monitoring in AD Patients on Amyloid-beta Antibody Therapies

Growth Opportunity 2: AI Solutions for ARIA Monitoring in AD Patients on Amyloid-beta Antibody Therapies (continued)

Growth Opportunity 3: Use of AI-enabled Medical Imaging Solutions in Clinical Trials

Growth Opportunity 3: Use of AI-enabled Medical Imaging Solutions in Clinical Trials (continued)

Growth Opportunity 4: Building Gen AI Solutions for Medical Imaging Analysis

Growth Opportunity 4: Building Gen AI Solutions for Medical Imaging Analysis (continued)

Best Practice Recognition

Frost Radar

Benefits and Impacts of Growth Opportunities

Next Steps

List of Exhibits

List of Exhibits (continued)

List of Exhibits (continued)

Legal Disclaimer

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The medical imaging industry faces significant challenges, such as radiologists increasing workload, the complexity of tasks, and the global shortage of staff, including radiologists. The number of imaging exams being conducted globally is increasing due to advancements in medical imaging and the growing complexity of medical cases, which burdens radiologists with a massive workload. Hospitals and healthcare systems also face rising costs associated with advanced imaging techniques and the need to balance these expenses against the value provided, without leading to overdiagnosis or overtreatment. Interest in automation and AI integration is on the rise for the technologies potential to reduce the burden on radiologists and free them to focus on the most critical tasks. Use of AI tools in radiology can improve workflow management and the current standard of care by reducing the overall scanning time while increasing accuracy. AI tools also have the potential to streamline administrative processes through improved patient information systems, making healthcare systems more efficient and patient-focused. This study focuses on the growing adoption of AI solutions in medical imaging that are used in multiple clinical application areas and across different modalities. The following clinical application segments are analyzed in the report: cardiology, neurology, pulmonology, breast, musculoskeletal (MSK), abdomen and pelvis, and others. The study period is 2022 to 2028, with 2023 as the base year and 2024 to 2028 as the forecast period. The study offers an overview of the global AI-enabled medical imaging market, focusing on current scenarios, drivers and restraints, the latest technologies, and notable participants. Frost & Sullivan offers stakeholders insights into the AI-enabled medical imaging market to help them monetize opportunities arising from this dynamic landscape during the next few years. Author: Anantharaman Viswanathan
More Information
Deliverable Type Market Research
Author Anantharaman Viswanathan
Industries Healthcare
No Index No
Is Prebook No
Podcast No
WIP Number PFIF-01-00-00-00