AI in Medical Imaging Market By Modality (CT Scan, MRI, X-rays, Ultrasound Imaging, Molecular Imaging), By Technology (Deep Learning, Natural Language Processing (NLP), Computer Vision, Others), By Application (Breast Imaging, Respiratory and Pulmonary, N

AI in Medical Imaging Market By Modality (CT Scan, MRI, X-rays, Ultrasound Imaging, Molecular Imaging), By Technology (Deep Learning, Natural Language Processing (NLP), Computer Vision, Others), By Application (Breast Imaging, Respiratory and Pulmonary, Neurology, Orthopedics, Others), By Industry Vertical (Hospital and Healthcare Providers, Patients, Pharmaceuticals and Biotechnology Companies, Healthcare Payers, Others): Global Opportunity Analysis and Industry Forecast, 2023-2032

The AI in medical imaging market size was valued at $1,891.12 million in 2022, and is projected to reach $29,754.83 million by 2032, registering a CAGR of 32.1% from 2023 to 2032.

The artificial intelligence in medical imaging market provides a disruptive junction of artificial intelligence and healthcare diagnostics that is set to revolutionize medical imaging practices. This booming industry aspires to take healthcare diagnostics and patient outcomes to unprecedented heights by seamlessly integrating modern AI algorithms with existing medical imaging modalities such as X-ray, CT, MRI, and ultrasound. AI-powered medical imaging solutions cover a wide variety of applications, such as image analysis, illness diagnosis, picture reconstruction, segmentation, and workflow optimization.

The scope of the report discusses the potential opportunities for the key players to enter the AI in medical imaging market. Furthermore, it provides an in-depth analysis of the market, outlining current trends, key driving factors, and key areas of investment. The report includes Porter’s five forces analysis to understand the competitive scenario of the industry and role of each stakeholder in the value chain. Moreover, it features the strategies adopted by key market players to maintain their foothold in the market.

The AI in medical imaging market is segmented on the basis of modality, technology, application, industry vertical and region. On the basis of modality, it is classified into CT Scan, MRI, X-rays, Ultrasound Imaging and Molecular Imaging. On the basis of technology, it is classified into Deep Learning, Natural Language Processing (NLP), Computer Vision, and others. On the basis of application, it is classified into Breast Imaging, Respiratory and Pulmonary, Neurology, Orthopedics, and others. On the basis of industry vertical, it is classified into Hospital and Healthcare Providers, Patients, Pharmaceuticals and Biotechnology Companies, Healthcare Payers, and others. On the basis of region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Several factors are driving the AI in medical imaging market, with one of them being the increasing use of AI in radiology. AI's capacity to quickly and accurately analyze medical pictures has improved diagnostic capabilities and shortened procedures. AI-assisted image interpretation benefits radiologists by assisting in the detection of minor anomalies, early illness diagnosis, and personalized therapy planning. This has led to better patient outcomes, a reduction in diagnostic blunders, and optimal resource use. Another driving factor is the rise in demand for AI-powered CT. A tremendous increase in demand for AI-powered Computed Tomography (CT) has been seen in recent years, driven by the technology's revolutionary effects on diagnostics and healthcare. Radiologists and physicians are now able to spot minor irregularities, complex tissue structures, and possible problems that could have gone unnoticed using conventional techniques thanks to AI algorithms that analyze CT images with unmatched speed and precision.

On the other hand, the rise in costs is hampering the market. The market for AI in medical imaging has been significantly constrained by the rising cost of implementation. While AI has shown incredible promise in improving patient care, treatment planning, and diagnostic accuracy, its adoption comes with a hefty price tag that presents difficulties for healthcare organizations and providers.

Key Benefits For Stakeholders

This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the ai in medical imaging market analysis from 2022 to 2032 to identify the prevailing ai in medical imaging market opportunities.
The market research is offered along with information related to key drivers, restraints, and opportunities.
Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
In-depth analysis of the ai in medical imaging market segmentation assists to determine the prevailing market opportunities.
Major countries in each region are mapped according to their revenue contribution to the global market.
Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
The report includes the analysis of the regional as well as global ai in medical imaging market trends, key players, market segments, application areas, and market growth strategies.

The key players operating in the AI in medical imaging market are Siemens, NVIDIA Corporation, IBM Corporation, GE Healthcare, Koninklijke Philips N.V., Aidoc, Butterfly Network, Inc., Zebra Technologies Corp., Arterys Inc., and ICAD Inc. These key players adopt several strategies such as new product launch and development, acquisition, partnership and collaboration and business expansion to increase their market share in the global AI in medical imaging market during the forecast period.
Product Life Cycles
Go To Market Strategy
Pain Point Analysis
Criss-cross segment analysis- market size and forecast
Historic market data

Key Market Segments

By Modality

CT Scan
MRI
X-rays
Ultrasound Imaging
Molecular Imaging

By Technology

Deep Learning
Natural Language Processing (NLP)
Computer Vision
Others

By Application

Breast Imaging
Respiratory and Pulmonary
Neurology
Orthopedics
Others

By Industry Vertical

Hospital and Healthcare Providers
Patients
Pharmaceuticals and Biotechnology Companies
Healthcare Payers
Others

By Region

North America
U.S.
Canada
Europe
France
Germany
Italy
Spain
UK
Rest of Europe
Asia-Pacific
China
Japan
India
South Korea
Australia
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa

Key Market Players

Koninklijke Philips N.V.
Siemens
NVIDIA Corporation
GE Healthcare
ICAD INC.
Aidoc
Butterfly Network, Inc.
IBM Corporation
Zebra Technologies Corp.
Arterys Inc.

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