Incorporation of AI into radiology is revolutionizing this field of medical imaging with machine intelligence and deep learning algorithms.
Emergen Research has published its latest report titled “Artificial Intelligence (AI) In Radiology Market, By Type (Head CT Scan, Mammography, Chest Imaging, Colonography, Others), By Technique (X-Ray, Ultrasound, Magnetic Resonance Imaging, Computed Tomography, Positron Emission Tomography, Others), By Application (Computer-aided Diagnosis, Quantitative Analysis Tools, Clinical Decision Support, Others), By End-use (Hospitals & Clinics, Diagnostic Centers, Research Laboratories, Others), and By Region Forecast to 2028”
Market Dynamics:
Major factors providing impetus to the global artificial intelligence (AI) in radiology market revenue growth include rapid adoption of AI-based technologies in the healthcare sector, rising focus on reducing radiologists’ workload and improving their efficiency, ongoing R&D projects for next-generation AI-based radiology techniques, and growing number of AI-based healthcare start-ups across the globe. Incorporation of AI into radiology is revolutionizing this field of medical imaging with machine intelligence and deep learning algorithms. AI solutions such as machine learning, deep learning, and big data analytics augment the accuracy and efficacy of X-ray radiography, ultrasound, computed tomography, magnetic resonance imaging, and other radiological procedures.
Artificial intelligence in radiology facilitates management of healthcare data & information and provides clinical decision support. It thus streamlines various processes including patient registration and monitoring, disease diagnosis, and image acquisition and reporting. Market revenue growth is further driven by rising prevalence of cardiovascular, neurological, musculoskeletal, oncological, and urological disorders, and growing demand for minimally invasive diagnostic techniques.
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COVID-19 Impact Analysis:
- Social distancing and restrictions severely disrupted businesses and operations
- Lockdowns caused disruptions in transportation and logistics
- Impacted manufacturing activities and mining operations globally
- Took a toll on economy of various countries
- Caused sudden and drastic downturn in economic activity
- Disrupted agriculture, fisheries, dairy, and other sectors
- Caused loss of employment and financial crisis
- Supply impacts were further compounded owing to reduced disposable income
- Emergence of variants continue to cause concerns and impact normal routines
Computed Tomography Segment Accounted for Largest Revenue Share in 2020:
Based on technique, the global artificial intelligence (AI) in radiology market is segmented into X-Ray, Ultrasound, Magnetic Resonance Imaging, Computed Tomography, Positron Emission Tomography, and Others. The computed tomography segment accounted for the largest revenue share in the global market in 2020, owing to many favorable factors. Rising prevalence of cancer, cardiovascular, and neurological conditions, growing geriatric population, increasing incidences of road accidents and physical injuries, and rising adoption of AI-enabled computed tomography solutions in hospitals and diagnostic centers are among the key factors driving this segment’s revenue growth.
Diagnostic Centers Segment to Account for Fastest Revenue CAGR:
Based on end-use, the global artificial intelligence (AI) in radiology market is segmented into Hospitals & Clinics, Diagnostic Centers, Research Laboratories, and Others. The diagnostic centers segment is expected to register the fastest revenue CAGR in the global market over the forecast period. Major factors boosting this segment’s revenue growth are rapid integration of AI technology in medical imaging, rising burden of cancer, cardiovascular, neurological, and urological diseases, increasing volumes of radiological procedures for disease diagnosis, and increasing preference for minimally invasive diagnostic procedures.
North America Accounted for Largest Revenue Share in 2020:
The North America artificial intelligence (AI) in radiology market dominated other regional markets in terms of revenue share in the global market in 2020. Rising geriatric population, growing prevalence of chronic and acute diseases, latest AI innovations in the field of radiology, rapid adoption of advanced medical imaging techniques such as computed tomography and positron emission tomography, and presence of state-of-the-art healthcare facilities in the region are key factors driving the regional market revenue growth.
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Major Companies in the Global Artificial Intelligence (AI) In Radiology Market Include:
- Microsoft Corporation
- NVIDIA Corporation
- IBM Corporation
- Intel Corporation
- Siemens Healthineers
- GE Healthcare
- Digital Diagnostics
- Xilinx
- InformAI
- Enlitic
- Day Zero Diagnostics
- Aidence
- Butterfly Network, Inc.
- Prognos
- Zebra Medical Vision
- Viz.ai
- Quibin
- Qure.ai
- Therapixel
- HeartFlow
For the purpose of this report, Emergen Research has segmented the global artificial intelligence (AI) in radiology market based on type, technique, application, end-use, and region:
Type Outlook (Revenue, USD Billion; 2018-2028)
- Head CT Scan
- Mammography
- Chest Imaging
- Colonography
- Others
Technique Outlook (Revenue, USD Billion; 2018-2028)
- X-ray
- Ultrasound
- Magnetic Resonance Imaging (MRI)
- Computed Tomography (CT)
- Positron Emission Tomography (PET)
- Others
Application Outlook (Revenue, USD Billion; 2018-2028)
- Computer-aided Diagnosis
- Quantitative Analysis Tools
- Clinical Decision Support
- Others
End-use Outlook (Revenue, USD Billion; 2018-2028)
- Hospitals & Clinics
- Diagnostic Centers
- Research Laboratories
- Others
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Region Outlook (Revenue, USD Billion; 2018-2028)
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- France
- U.K.
- Italy
- Spain
- BENELUX
- Rest of Europe
- Asia Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia Pacific
- Latin America
- Brazil
- Rest of Latin America
- Middle East & Africa
- Saudi Arabia
- U.A.E.
- South Africa
- Turkey
- Rest of Middle East & Africa
Reasons to buy the report:
- This study segments the Artificial Intelligence (AI) In Radiology market and derives the precise valuation of the overall, as well as segment-based, market across different industry verticals, geographies, and products.
- The report will help participants understand the trajectory of the progress of the market and provide information on key drivers, restraints, challenges, threats, and opportunities for the growth of the Artificial Intelligence (AI) In Radiology sectors.
- This Artificial Intelligence (AI) In Radiology report would allow readers to be well-versed with the existing competition and gain more insights to improve their standing in the worldwide business. The competitive landscape considers the dominant competitors, along with product launches and technological advancements, strategic expansions, mergers and acquisitions, and procurement strategies implemented by key players in the Artificial Intelligence (AI) In Radiology market.
Key features of the report:
- To study the key aspects impacting the Artificial Intelligence (AI) In Radiology market size.
- To identify growth prospects in the Artificial Intelligence (AI) In Radiology market.
- To analyze the Artificial Intelligence (AI) In Radiology market segments and deduce the dominant trends observed in the industry.
- To examine the Artificial Intelligence (AI) In Radiology market by investigating the available products, market share, and value proposition of the products.
- To analyze the industry by assessing the scope and application of the Artificial Intelligence (AI) In Radiology market and highlight the growth of each application.
Table of Content
Chapter 1. Methodology & Sources
1.1. Market Definition
1.2. Research Scope
1.3. Methodology
1.4. Research Sources
1.4.1. Primary
1.4.2. Secondary
1.4.3. Paid Sources
1.5. Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2020-2030
Chapter 3. Key Insights
Chapter 4. Artificial Intelligence (AI) In Radiology Market Segmentation & Impact Analysis
4.1. Artificial Intelligence (AI) In Radiology Market Material Segmentation Analysis
4.2. Industrial Outlook
4.2.1. Market indicators analysis
4.2.2. Market drivers’ analysis
4.2.3. Market restraints analysis
4.3. Technological Insights
4.4. Regulatory Framework
4.5. Porter’s Five Forces Analysis
4.6. Competitive Metric Space Analysis
4.7. Price trend Analysis
4.8. Covid-19 Impact Analysis
Continued…
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