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AI-Enabled Imaging Solutions Global Market Analysis, Trends, Growth, Research And Forecast 2033
AI-Enabled Imaging Solutions Global Market
AI-Enabled Imaging Solutions Global Market Report 2024 by The Business Research Company offers comprehensive market insights, empowering businesses with a competitive edge. It includes detailed estimates for numerous segments and sub-segments, providing valuable strategic guidance.
The Market Size Is Expected To Reach $8.67 billion In 2028 At A CAGR Of 28.1% :
The AI-enabled imaging solutions market size has grown exponentially in recent years. It will grow from $2.52 billion in 2023 to $3.22 billion in 2024 at a compound annual growth rate (CAGR) of 27.9%. The growth in the historic period can be attributed to increased demand for precise diagnostics and treatment planning, growth in healthcare spending, rise in prevalence of chronic diseases, expansion of AI-enabled imaging solutions in oncology, rise in government initiatives, and increased funding for AI research and healthcare infrastructure development.
The AI-enabled imaging solutions market size is expected to see exponential growth in the next few years. It will grow to $8.67 billion in 2028 at a compound annual growth rate (CAGR) of 28.1%. The growth in the forecast period can be attributed to telemedicine expansion, increasing focus on preventive healthcare, increasing partnerships, collaborations between healthcare providers and AI solution providers, and evolving regulatory frameworks and ethical guidelines. Major trends in the forecast period include advancements in AI algorithms, integration of multiple imaging modalities, adoption of cloud-based AI solutions, growing emphasis on explainable AI (XAI), and implementation of edge computing in AI-enabled imaging devices.
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AI-Enabled Imaging Solutions Market Major Segments
The ai-enabled imaging solutions market covered in this report is segmented -
1) By Offering: Software Tools Or Platform, Services
2) By Image Acquisition Technology: X-ray, Computed Tomography, Magnetic Resonance Imaging, Ultrasound Imaging, Molecular Imaging
3) By Technology: Machine Learning, Natural Language Processing, Context Aware Computing, Computer Vision
4) By End User: Hospitals, Clinics, Research Laboratories And Diagnostic Centers, Cybersecurity
Key Driver - AI-Enabled Imaging Solutions Surge With Rising Breast Cancer Cases
The rise in cases of breast cancer is expected to propel the growth of the AI-enabled imaging solutions market going forward. Breast cancer refers to the abnormal growth of cells in the breast tissue, which can form a tumor that may be malignant and has the potential to spread to other parts of the body. The surge in cases of breast cancer can be attributed to lifestyle changes, including diet and physical inactivity and hormonal factors, fueling demand for comprehensive healthcare solutions. AI-enabled imaging solutions aid in the early detection of breast cancer through automated analysis of mammograms, improving diagnostic accuracy and enabling timely intervention, ultimately enhancing patient outcomes. For instance, in January 2023, according to the American Cancer Society, a US-based nonprofit cancer advocacy organization, the number of breast cancer cases in the United States increased from 284,200 in 2021 to 300,590 in 2023, reflecting a growth of 5.76%. Therefore, the rise in cases of breast cancer is driving the growth of the AI-enabled imaging solutions market.
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Prominent Trend - AI-Enabled MRI Systems Driving Innovation And Revenue Growth In The Medical Imaging Market
Major companies operating in the AI-enabled imaging solutions market are focused on developing advanced solutions, such as AI-enabled MRI (Magnetic Resonance Imaging) systems, to maximize their revenue in the market. An AI-enabled MRI system refers to an MRI scanner equipped with artificial intelligence capabilities, allowing for enhanced image acquisition, processing, analysis, and interpretation. For instance, in December 2023, GE Healthcare Technologies Inc., a US-based medical technology company, launched SIGNA Champion, an AI-enabled MRI system that features advanced AI and deep learning capabilities, such as AIR Recon DL and Sonic DL, which enable faster and more precise scans. The system also emphasizes sustainability and operational benefits, with a smaller footprint and enhanced power efficiency. Alongside SIGNA Champion, GE Healthcare introduces SIGNA PET/MR AIR, incorporating AI technologies to improve diagnosis and treatment for conditions such as prostate cancer and Alzheimer's disease.
AI-Enabled Imaging Solutions Market Players
Major companies operating in the AI-enabled imaging solutions market report are Medtronic PLC; NVIDIA Corporation; Siemens Healthineers; Fujifilm Holdings Corporation; Koninklijke Philips N.V.; GE HealthCare Technologies Inc.; Zebra Medical Vision Ltd.; Hologic Inc.; Agfa-Gevaert Group; Samsung Medison Co. Ltd.; Konica Minolta Healthcare Americas Inc.; Intelerad Medical Systems; Hitachi Medical Systems; Merative L.P.; Canon Medical Systems Corporation; Aidoc Medical Ltd.; Butterfly Network Inc.; HeartFlow Inc.; Arterys Inc.; Caption Health Inc.; EchoNous Inc.; Vuno Inc.; Mirada Medical Limited; Resoundant Inc.; Lunit Inc.
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Largest And Fastest Growing Region In The Market
North America was the largest region in the AI-enabled imaging solutions market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI-enabled imaging solutions market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The Table Of Content For The Market Report Include:
1. Executive Summary
2. AI-Enabled Imaging Solutions Market Report Structure
3. AI-Enabled Imaging Solutions Market Trends And Strategies
4. AI-Enabled Imaging Solutions Market - Macro Economic Scenario
5. AI-Enabled Imaging Solutions Market Size And Growth
…..
27. AI-Enabled Imaging Solutions Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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