The Artificial Intelligence In Radiology Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).
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According to The Business Research Company’s Artificial Intelligence In Radiology Global Market Report 2024, The artificial intelligence in radiology market size has grown exponentially in recent years. It will grow from $1.68 billion in 2023 to $2.2 billion in 2024 at a compound annual growth rate (CAGR) of 30.8%. The growth in the historic period can be attributed to increasing volume of medical imaging data, rise of deep learning algorithms, demand for improved diagnostic accuracy, regulatory approvals and standards, focus on cost-efficiency and workflow improvement.
The artificial intelligence in radiology market size is expected to see exponential growth in the next few years. It will grow to $6.31 billion in 2028 at a compound annual growth rate (CAGR) of 30.2%. The growth in the forecast period can be attributed to continued advancements in ai algorithms, integration with electronic health records (ehrs), expansion of ai applications beyond diagnosis, ai-powered image enhancement, enhanced interoperability and data sharing. Major trends in the forecast period include telemedicine and remote healthcare, collaboration between healthcare and tech companies, advancements in imaging technologies, quantitative imaging analytics, automated report generation.
The growing application of artificial intelligence (AI) in healthcare is expected to propel the growth of artificial intelligence (AI) in the radiology market, going forward. AI-powered algorithms demonstrate a remarkable capability to analyze and interpret medical images with precision, aiding radiologists in detecting subtle abnormalities and improving overall diagnostic outcomes. The efficiency and speed offered by AI technologies not only streamline radiological workflows but also contribute to faster and more accurate diagnoses. For instance, in March 2023, according to the Department for Science, Innovation & Technology (DSIT), a UK-based government agency, the Department of Health and Social Care channeled $39.4 million (£36 million) into thirty-eight AI projects, focusing on advancing patient care and expediting diagnoses in 2021. Therefore, the growing application of AI in healthcare is driving the growth of artificial intelligence (AI) in the radiology market.
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The artificial intelligence in radiology market covered in this report is segmented –
1) By Solution Type: AI Software, AI Hardware
2) By Modality: Computed Tomography (CT), Magnetic Resonance (MR), X-Ray, Mammography, Ultrasound (US), Other Modalities
3) By Application: Neurology, Chest And Lung, Musculoskeletal, Abdomen, Cardiology, Other Applications
4) By End-User: Hospitals, Diagnostic Imaging Centers, Other End-Users
Major companies operating in the artificial intelligence (AI) in radiology market are launching new products, such as suites, to increase their profitability in the market. An AI-powered radiology suite is an integrated system leveraging artificial intelligence to enhance diagnostic capabilities and streamline processes in medical imaging, improving accuracy and efficiency. For instance, in November 2022, Viz.ai Inc., a US-based healthcare software service provider, launched Viz radiology suite. The suite is a cutting-edge solution that integrates advanced FDA-approved algorithms to swiftly analyze diverse medical imaging data such as CT scans, EKGs and echocardiograms. This comprehensive AI-powered care coordination solution not only provides real-time insights but also automates assessments, expediting the diagnosis and treatment process. Ultimately, this innovative solution contributes to improved patient outcomes by accelerating the diagnostic and treatment workflow.
The artificial intelligence in radiology market report table of contents includes:
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