The Europe Artificial Intelligence (AI) in Medical Diagnostics Market should witness market growth of 38.8% CAGR during the forecast period (2022-2028).
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.
Applications of artificial intelligence range from image collecting and processing to assisted reporting, follow-up strategies, data storage, and data mining. The use of machine learning combines computational models and techniques that replicate the architecture of the brain's biological neural network, i.e. artificial neural networks. Performance-wise Traditional machine learning has a lower performance rate than deep learning.
The German healthcare market offers diverse opportunities along the value supply chain route, including Design, research and development collaboration, strategic partnerships, equity partner and investor engagements, mergers and acquisitions, project collaboration, and other opportunities for small and medium-sized enterprises (SMEs) to grow their businesses and expand their market presence. The objective is for faster diagnostics and treatments to help save expenses and provide clients with more timely and accurate care. Furthermore, the integration of AI in healthcare technologies is estimated to be fueled due to this. Hence, this factor would bolster the growth of regional AI in the medical diagnosis market.
The Germany market dominated the Europe Artificial Intelligence (AI) in Medical Diagnostics Market by Country in 2021; thereby, achieving a market value of $490.5 million by 2028. The UK market is exhibiting a CAGR of 37.6% during (2022-2028). Additionally, The France market would experience a CAGR of 39.8% 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 Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
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
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.
Applications of artificial intelligence range from image collecting and processing to assisted reporting, follow-up strategies, data storage, and data mining. The use of machine learning combines computational models and techniques that replicate the architecture of the brain's biological neural network, i.e. artificial neural networks. Performance-wise Traditional machine learning has a lower performance rate than deep learning.
The German healthcare market offers diverse opportunities along the value supply chain route, including Design, research and development collaboration, strategic partnerships, equity partner and investor engagements, mergers and acquisitions, project collaboration, and other opportunities for small and medium-sized enterprises (SMEs) to grow their businesses and expand their market presence. The objective is for faster diagnostics and treatments to help save expenses and provide clients with more timely and accurate care. Furthermore, the integration of AI in healthcare technologies is estimated to be fueled due to this. Hence, this factor would bolster the growth of regional AI in the medical diagnosis market.
The Germany market dominated the Europe Artificial Intelligence (AI) in Medical Diagnostics Market by Country in 2021; thereby, achieving a market value of $490.5 million by 2028. The UK market is exhibiting a CAGR of 37.6% during (2022-2028). Additionally, The France market would experience a CAGR of 39.8% 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 Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
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
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
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
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Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. Europe Artificial Intelligence (AI) in Medical Diagnostics Market by Application
Chapter 5. Europe Artificial Intelligence (AI) in Medical Diagnostics Market by End-user
Chapter 6. Europe Artificial Intelligence (AI) in Medical Diagnostics Market by Component
Chapter 7. Europe 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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