Pune, June 30, 2023 (GLOBE NEWSWIRE) -- Maximize Market Research, a global Healthcare market research firm has delivered competitive intelligence and market research report on the “AI (Artificial Intelligence) in Medical Imaging Market”. The AI (Artificial Intelligence) in Medical Imaging Market size was valued at USD 1.12 Bn in 2022 and is expected to grow at a CAGR of 34.3 percent from 2022 to 2029, reaching USD 27.52 Bn during the forecast period.
AI (Artificial Intelligence) in Medical Imaging Market Report Scope and Research Methodology
Market Size in 2022 | USD 1.12 Bn. |
Market Size in 2029 | USD 27.52 Bn. |
CAGR | 34.3 percent (2022-2029) |
Forecast Period | 2022-2029 |
Base Year | 2022 |
Number of Pages | 274 |
No. of Tables | 116 |
No. of Charts and Figures | 112 |
Segment Covered | Imaging Modality, Technology, Application, Deployment Model and End User |
Regional Scope | North America, Europe, Asia Pacific, Middle East and Africa, South America |
Report Coverage | Market Share, Size & Forecast by Revenue | 2022−2029, Market Dynamics, Growth Drivers, Restraints, Investment Opportunities, and Key Trends, Competitive Landscape, Key Players Benchmarking, Competitive Analysis, MMR Competition Matrix, Competitive Leadership Mapping, Global Key Players’ Market Ranking Analysis. |
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The bottom-up approach was used for the estimation of the AI (Artificial Intelligence) in the Medical Imaging market size and growth rates in the report. The report is a complete analysis of the AI (Artificial Intelligence) in the Medical Imaging market provided with key findings such as pricing, investments, expansion plans, and physical presence in the AI (Artificial Intelligence) in the Medical Imaging market. The report covers insights into the major drivers, challenges, and major restraints of AI (Artificial Intelligence) in the Medical Imaging Market. Key market participants and new entrants' services, revenue, financial status, portfolio, growth strategies, and regional presence are all included in the report on AI (Artificial Intelligence) in the Medical Imaging Market.
Regional analysis of the AI (Artificial Intelligence) in the Medical Imaging market conducted at local, regional and global levels. A segment-wise analysis of AI (Artificial Intelligence) in the Medical Imaging market is divided into Imaging Modality, Technology, Application, Deployment models and End User. The report includes primary and secondary data collection methods to collect the data for the market. The qualitative and quantitative analyses are used in the report. The primary collection method includes Surveys, questionnaires and telephonic interviews with AI (Artificial Intelligence) in Medical Imaging market leaders, experts and business owners. The secondary collection includes financial reports, annual reports, press releases, white papers, etc. SWOT analysis is used to identify the threats and weaknesses of the market and PORTER is used to understand the competitive intensity of AI (Artificial Intelligence) in the Medical Imaging industry.
AI (Artificial Intelligence) in Medical Imaging Market Overview
AI (Artificial Intelligence) in Medical Imaging indicates the application of artificial intelligence techniques such as machine learning and deep learning, to the field of medical imaging. To analyze medical images and assist in diagnosis and healthcare professionals in making informed decisions, it includes the use of computer algorithms and models. AI in Medical Imaging goal is to enhance this process by leveraging computational techniques.
AI (Artificial Intelligence) in Medical Imaging Market Dynamics
AI algorithms have the ability to improve diagnostic accuracy in medical imaging. By analyzing large volumes of imaging data, AI models have been detecting subtle patterns and abnormalities that are challenging for human radiologists to identify. This leads to more accurate and reliable diagnoses, minimizing the risk of misdiagnosis. As a result, increasing demand for early and accurate diagnosis drives AI (Artificial Intelligence) in the Medical Imaging Market.
Medical imaging technologies including magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound have significant advancements. These advanced imaging modalities generate a vast amount of complex data that has been efficiently analyzed by AI algorithms, to enable more personalized treatment plans. Thus technological advancements in imaging modalities boost market growth.
The growing volume of medical imaging data, improving AI algorithms and machine learning techniques, government initiatives and investments and advancements in cloud computing are also the driving factors for the industry growth. Data privacy and security is the restraining factor for the market growth.
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AI (Artificial Intelligence) in Medical Imaging Market Regional Insights
North America held the largest AI (Artificial Intelligence) in the Medical Imaging Market share and is expected to have the highest CAGR for the market over the forecast period. There is a rising need for advanced diagnostic tools that have improved accuracy, efficiency, and speed in medical imaging. AI-based solutions have the potential to aid radiologists and healthcare professionals in exhibiting complex medical images, leading to enhanced diagnostic accuracy and better decision-making. As a result, increasing demand for advanced diagnostic tools drives regional market growth. The technological advancements in medical imaging, the rising prevalence of chronic diseases, the growing availability of big data in healthcare, favorable government initiatives, and funding are also the driving factors for regional AI (Artificial Intelligence) in the Medical Imaging industry.
Asia Pacific is expected to have significant growth for AI (Artificial Intelligence) in the Medical Imaging Market over the forecast period. The increasing expenditure on the healthcare sector, technological advancements and increasing demand for advanced medical imaging solutions and a growing focus on AI integration in healthcare to address challenges of healthcare are the responsible factors to influence the market growth.
AI (Artificial Intelligence) in Medical Imaging Market Segmentation
By Imaging Modality
- X-ray
- MRI
- CT scans
- Ultrasound
On the basis of the Imaging modality, the market is segmented into X-ray, MRI, CT scan and Ultrasound. The X-ray segment is expected to have the significant CAGR for AI (Artificial Intelligence) in the Medical Imaging Market during the forecast period. X-ray imaging is a largely used modality in medical imaging. It is typically used for criticizing bone fractures and lung conditions and identifying foreign objects within the body. AI algorithms have been aided in the analysis of X-ray images, available in the detection of abnormalities including lung nodules, fractures, or abnormalities in the chest.
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By Technology
- Machine Learning
- Deep Learning
- Natural Language Processing
- Computer Vision
Based on the Technology, the market is categorized into Machine Learning, Deep Learning, Natural Language Processing and Computer Vision. Deep Learning held the largest AI (Artificial Intelligence) in the Medical Imaging Market share in 2022 and is expected to continue its dominance over the forecast period. Deep learning, an important subset of machine learning, has revolutionized medical imaging analysis by leveraging artificial neural networks with multiple layers to automatically learn features from medical images. It has high accuracy, end-to-end learning, scalability and generalizability and thus it is a more efficient technology for AI (Artificial Intelligence) in the Medical Imaging Market.
By Application
- Oncology
- Neurology
- Cardiology
- Radiology
By Deployment Model
- On-Premise
- Cloud Based
By End-User
- Hospitals
- Diagnostic Centers
- Research Institutions
- Others
AI (Artificial Intelligence) in Medical Imaging Market Key Competitors include:
- GE Healthcare (United States)
- IBM Watson Health (United States)
- NVIDIA Corporation (United States)
- Aidoc (United States)
- Butterfly Network (United States)
- Siemens Healthineers (Germany)
- Philips Healthcare (Netherlands)
- Sectra AB (Sweden)
- Agfa-Gevaert Group (Belgium)
- Zebra Medical Vision (Israel)
- Canon Medical Systems Corporation (Japan)
- Ping An Healthcare and Technology Company Limited (China)
- Infervision (China)
- Carestream Health (United States, with a strong presence in Asia Pacific)
- Huiying Medical Technology Co., Ltd. (China)
- Grupo Fleury (Brazil)
- Hospital Alemão Oswaldo Cruz (Brazil)
- Inbrain Neuroelectronics (Spain, with operations in Latin America)
- Inova (Mexico)
- Radiologia Integrada (Chile)
- AIDoc Medical (Israel)
- AlemHealth (United Arab Emirates)
- Quantib (South Africa)
- Mirai Medical (South Africa)
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Key questions answered in the AI (Artificial Intelligence) in Medical Imaging Market are:
- What is AI (Artificial Intelligence) in Medical Imaging?
- What is the CAGR of the AI (Artificial Intelligence) in the Medical Imaging Market?
- What was the AI (Artificial Intelligence) in Medical Imaging Market size in 2022?
- What is the expected AI (Artificial Intelligence) in Medical Imaging Market size by the end of the forecast period?
- What are the global trends in AI (Artificial Intelligence) in the Medical Imaging Market?
- What are the major challenges that the AI (Artificial Intelligence) in the Medical Imaging Market could face in the future?
- What growth strategies are the players considering to increase their presence in AI (Artificial Intelligence) in Medical Imaging?
- What are the upcoming industry applications and trends for AI (Artificial Intelligence) in the Medical Imaging Market?
- What are the recent industry trends that can be implemented to generate additional revenue streams for AI (Artificial Intelligence) in the Medical Imaging Market?
- Who are the leading companies and what are their portfolios in AI (Artificial Intelligence) in the Medical Imaging Market?
- Who dominates the largest market share in AI (Artificial Intelligence) in the Medical Imaging Market?
Key Offerings:
- Past Market Size and Competitive Landscape (2018 to 2022)
- Past Pricing and price curve by region (2018 to 2022)
- Market Size, Share, Size & Forecast by different segment | 2023−2029
- Market Dynamics – Growth Drivers, Restraints, Opportunities, and Key Trends by Region
- Market Segmentation – A detailed analysis by Imaging Modality, Technology, Application, Deployment Model, End User and Region
- Competitive Landscape – Profiles of selected key players by region from a strategic perspective
- Competitive landscape – Market Leaders, Market Followers, Regional player
- Competitive benchmarking of key players by region
- PESTLE Analysis
- PORTER’s analysis
- Value chain and supply chain analysis
- Legal Aspects of Business by Region
- Lucrative business opportunities with SWOT analysis
- Recommendations
Maximize Market Research is leading Healthcare research firm, has also published the following reports:
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Remanufactured Medical Imaging Devices Market - The market size is expected to reach USD 4.54 Bn by 2029 at a CAGR of 7.1 percent during the forecast period. The market is expected to be driven by the extensive shift of several health institutions towards value-driven health care and increasing demand for advanced digital diagnostics imaging systems.
3D Medical Imaging Market - The market size is expected to reach USD 49.81 Bn by 2029 at a CAGR of 6.7 percent during the forecast period. The market is expected to be driven by the growing elderly population and the rising frequency of related disorders.
Medical Imaging Workstations Market - The market size is expected to reach USD 2.44 Bn by 2029 at a CAGR of 8.9 percent during the forecast period. The market is expected to be driven by an increasing number of user preferences for digital platforms and rising investments in the healthcare industry
Medical Imaging Market - The market size is expected to reach USD 61.30 Bn by 2029 at a CAGR of 6.11 percent during the forecast period. The market is expected to be driven by the increasing demand for early-stage diagnosis of chronic disease, technological developments and the aging demographics.
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