The North America Artificial Intelligence (AI) in Medical Diagnostics Market should witness market growth of 38.1% CAGR during the forecast period (2022-2028).
Artificial intelligence (AI) refers to the building of unique systems with the use of algorithms and software that are capable of performing specific tasks without human interaction or guidance. The combination of multiple technologies, including natural language processing, machine learning, reasoning, and perception, constitutes artificial intelligence.
In diagnostics, AI is utilized to approximate human cognition and analyze complicated diagnostic and medical imaging data. The primary application of artificial intelligence in healthcare is to evaluate the link between treatment strategies and patient outcomes. In medical operations such as diagnostic procedures, drug research, tailored medications, and patient monitoring, AI applications are utilized.
For instance, AI could assist in clinical procedures by monitoring vital signs, asking patients questions, and providing medicines. During medical procedures, AI systems can also be utilized for alerts and reminders, information retrieval, picture interpretation, and therapeutic planning. Deep learning is the most popular form of AI technology and is used for image identification, signal recognition, and data mining.
The burden of chronic diseases is significantly high throughout the region. According to the Centers for Disease Control and Prevention, at least one chronic condition, such as heart disease, stroke, cancer, or diabetes, affects the lives of six out of every 10 people in the United States. These as well as several other chronic diseases are the main causes of disability and death in the United States, and they are also one of the primary drivers of the expenses associated with health care. The prevalence of chronic diseases is constantly increasing in regional countries and is estimated to spread rapidly in the coming years.
The US market dominated the North America Artificial Intelligence (AI) in Medical Diagnostics Market by Country in 2021; thereby, achieving a market value of $1,982.9 million by 2028. The Canada market is experiencing a CAGR of 41.2% during (2022-2028). Additionally, The Mexico market would exhibit a CAGR of 40% during (2022-2028).
Based on Application, the market is segmented into In Vivo Diagnostics and In Vitro Diagnostics. Based on Vivo Diagnostics Specialty Type, the market is segmented into Radiology, Cardiology, Neurology, Obstetrics/gynecology, Ophthalmology and Others. Based on Vivo Diagnostics Modality Type, the market is segmented into Computed Tomography, X-Ray & Ultrasound, Magnetic Resonance Imaging and Others. Based on End-user, the market is segmented into In Hospitals, Diagnostics Imaging Centers, Diagnostics Laboratories and Others. Based on Component, the market is segmented into Services and Software. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, Nvidia Corporation, IBM Corporation, Intel Corporation, Google LLC, Siemens Healthineers AG (Siemens AG), General Electric (GE) Co. (GE Healthcare), Xilinx, Inc., Digital Diagnostics, Inc. and InformAI, LLC
Artificial intelligence (AI) refers to the building of unique systems with the use of algorithms and software that are capable of performing specific tasks without human interaction or guidance. The combination of multiple technologies, including natural language processing, machine learning, reasoning, and perception, constitutes artificial intelligence.
In diagnostics, AI is utilized to approximate human cognition and analyze complicated diagnostic and medical imaging data. The primary application of artificial intelligence in healthcare is to evaluate the link between treatment strategies and patient outcomes. In medical operations such as diagnostic procedures, drug research, tailored medications, and patient monitoring, AI applications are utilized.
For instance, AI could assist in clinical procedures by monitoring vital signs, asking patients questions, and providing medicines. During medical procedures, AI systems can also be utilized for alerts and reminders, information retrieval, picture interpretation, and therapeutic planning. Deep learning is the most popular form of AI technology and is used for image identification, signal recognition, and data mining.
The burden of chronic diseases is significantly high throughout the region. According to the Centers for Disease Control and Prevention, at least one chronic condition, such as heart disease, stroke, cancer, or diabetes, affects the lives of six out of every 10 people in the United States. These as well as several other chronic diseases are the main causes of disability and death in the United States, and they are also one of the primary drivers of the expenses associated with health care. The prevalence of chronic diseases is constantly increasing in regional countries and is estimated to spread rapidly in the coming years.
The US market dominated the North America Artificial Intelligence (AI) in Medical Diagnostics Market by Country in 2021; thereby, achieving a market value of $1,982.9 million by 2028. The Canada market is experiencing a CAGR of 41.2% during (2022-2028). Additionally, The Mexico market would exhibit a CAGR of 40% during (2022-2028).
Based on Application, the market is segmented into In Vivo Diagnostics and In Vitro Diagnostics. Based on Vivo Diagnostics Specialty Type, the market is segmented into Radiology, Cardiology, Neurology, Obstetrics/gynecology, Ophthalmology and Others. Based on Vivo Diagnostics Modality Type, the market is segmented into Computed Tomography, X-Ray & Ultrasound, Magnetic Resonance Imaging and Others. Based on End-user, the market is segmented into In Hospitals, Diagnostics Imaging Centers, Diagnostics Laboratories and Others. Based on Component, the market is segmented into Services and Software. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, Nvidia Corporation, IBM Corporation, Intel Corporation, Google LLC, Siemens Healthineers AG (Siemens AG), General Electric (GE) Co. (GE Healthcare), Xilinx, Inc., Digital Diagnostics, Inc. and InformAI, LLC
Scope of the Study
By Application
- In Vivo Diagnostics
- Vivo Diagnostics Specialty Type
- Radiology
- Cardiology
- Neurology
- Obstetrics/gynecology
- Ophthalmology
- Others
- Vivo Diagnostics Modality Type
- Computed Tomography
- X-Ray & Ultrasound
- Magnetic Resonance Imaging
- Others
- In Vitro Diagnostics
- Vivo Diagnostics Specialty Type
By End-user
- Hospitals
- Diagnostics Imaging Centers
- Diagnostics Laboratories
- Others
By Component
- Services
- Software
By Country
- US
- Canada
- Mexico
- Rest of North America
Key Market Players
List of Companies Profiled in the Report:
- Microsoft Corporation
- Nvidia Corporation
- IBM Corporation
- Intel Corporation
- Google LLC
- Siemens Healthineers AG (Siemens AG)
- General Electric (GE) Co. (GE Healthcare)
- Xilinx, Inc.
- Digital Diagnostics, Inc.
- InformAI, LLC
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. North America Artificial Intelligence (AI) in Medical Diagnostics Market by Application
Chapter 5. North America Artificial Intelligence (AI) in Medical Diagnostics Market by End-user
Chapter 6. North America Artificial Intelligence (AI) in Medical Diagnostics Market by Component
Chapter 7. North America Artificial Intelligence (AI) in Medical Diagnostics Market by Country
Chapter 8. Company Profiles
Companies Mentioned
- Microsoft Corporation
- Nvidia Corporation
- IBM Corporation
- Intel Corporation
- Google LLC
- Siemens Healthineers AG (Siemens AG)
- General Electric (GE) Co. (GE Healthcare)
- Xilinx, Inc.
- Digital Diagnostics, Inc.
- InformAI, LLC
Methodology
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