The North America AI In Medical Imaging Market would witness market growth of 31.4% CAGR during the forecast period (2023-2030).
The US market dominated the North America AI In Medical Imaging Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $2,928.9 million by 2030. The Canada market is experiencing a CAGR of 34.4% during (2023 - 2030). Additionally, The Mexico market would exhibit a CAGR of 33.2% during (2023 - 2030).
Artificial intelligence (AI) in medical imaging has resulted in an entirely novel period of innovation and paradigm change in the healthcare sector. By utilizing cutting-edge machine learning approaches and algorithms, AI in medical imaging is changing the diagnostic, therapeutic, and patient care processes. This has numerous applications across various clinical specialties and imaging modalities.
AI algorithms, for instance, help radiologists assess medical pictures, including X-rays, CT, MRI, and ultrasound scans, to find abnormalities, recognize disease patterns, and provide precise diagnoses. Also, AI-driven image analysis enables early detection of diseases such as cancer, cardiovascular disorders, and neurological conditions, leading to timely interventions and improved patient outcomes.
Increased government spending in healthcare often translates to higher funding allocated to research and development initiatives. In Canada, government funding for healthcare research supports projects to advance medical imaging technologies, including AI-driven solutions. According to the Canadian government, in 2023, provinces and territories will receive an additional $46.2 billion in financing as part of a $196.1 billion ten-year investment by the government to enhance health care services for all Canadians. Therefore, the market is growing due to rising healthcare expenditure and cancer cases in the region.
Based on Technology, the market is segmented into Deep Learning, Natural Language Processing (NLP), and Others. Based on Modality, the market is segmented into CT Scan, MRI, Ultrasound, X-rays, and Nuclear Imaging. Based on End-use, the market is segmented into Hospitals, Diagnostic Imaging Centers, and Others. Based on Application, the market is segmented into Neurology, Breast Screening, Cardiology, Respiratory & Pulmonary, Orthopedics, and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The US market dominated the North America AI In Medical Imaging Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $2,928.9 million by 2030. The Canada market is experiencing a CAGR of 34.4% during (2023 - 2030). Additionally, The Mexico market would exhibit a CAGR of 33.2% during (2023 - 2030).
Artificial intelligence (AI) in medical imaging has resulted in an entirely novel period of innovation and paradigm change in the healthcare sector. By utilizing cutting-edge machine learning approaches and algorithms, AI in medical imaging is changing the diagnostic, therapeutic, and patient care processes. This has numerous applications across various clinical specialties and imaging modalities.
AI algorithms, for instance, help radiologists assess medical pictures, including X-rays, CT, MRI, and ultrasound scans, to find abnormalities, recognize disease patterns, and provide precise diagnoses. Also, AI-driven image analysis enables early detection of diseases such as cancer, cardiovascular disorders, and neurological conditions, leading to timely interventions and improved patient outcomes.
Increased government spending in healthcare often translates to higher funding allocated to research and development initiatives. In Canada, government funding for healthcare research supports projects to advance medical imaging technologies, including AI-driven solutions. According to the Canadian government, in 2023, provinces and territories will receive an additional $46.2 billion in financing as part of a $196.1 billion ten-year investment by the government to enhance health care services for all Canadians. Therefore, the market is growing due to rising healthcare expenditure and cancer cases in the region.
Based on Technology, the market is segmented into Deep Learning, Natural Language Processing (NLP), and Others. Based on Modality, the market is segmented into CT Scan, MRI, Ultrasound, X-rays, and Nuclear Imaging. Based on End-use, the market is segmented into Hospitals, Diagnostic Imaging Centers, and Others. Based on Application, the market is segmented into Neurology, Breast Screening, Cardiology, Respiratory & Pulmonary, Orthopedics, and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
List of Key Companies Profiled
- Siemens Healthineers AG (Siemens AG)
- GE HealthCare Technologies, Inc.
- Koninklijke Philips N.V.
- Fujifilm Holdings Corporation
- Agfa-Gevaert NV
- Microsoft Corporation
- Google LLC (Alphabet Inc.)
- Intel Corporation
- NVIDIA Corporation
- Zebra Technologies Corporation
Market Report Segmentation
By Technology- Deep Learning
- Natural Language Processing (NLP)
- Others
- CT Scan
- MRI
- Ultrasound
- X-rays
- Nuclear Imaging
- Hospitals
- Diagnostic Imaging Centers
- Others
- Neurology
- Breast Screening
- Cardiology
- Respiratory & Pulmonary
- Orthopedics
- Others
- US
- Canada
- Mexico
- Rest of North America
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. North America AI In Medical Imaging Market by Technology
Chapter 6. North America AI In Medical Imaging Market by Modality
Chapter 7. North America AI In Medical Imaging Market by End-use
Chapter 8. North America AI In Medical Imaging Market by Application
Chapter 9. North America AI In Medical Imaging Market by Country
Chapter 10. Company Profiles
Companies Mentioned
- Siemens Healthineers AG (Siemens AG)
- GE HealthCare Technologies, Inc.
- Koninklijke Philips N.V.
- Fujifilm Holdings Corporation
- Agfa-Gevaert NV
- Microsoft Corporation
- Google LLC (Alphabet Inc.)
- Intel Corporation
- NVIDIA Corporation
- Zebra Technologies Corporation
Methodology
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