Ai Medical Image Analysis Market will reach at USD 32.1 billion by 2032, -4Quant, ContextVision, Avicenna AI, Aidoc, ChironX, Arterys, GE Medical Imaging, Botkin.AI, Behold.ai, CureMetrix, Qure.ai, Volpara Health, Imagia, ScreenPoint Medical, Quibim, Inno

The global medical image analysis software market size was valued at USD 2.90 billion in 2021 and will reach at USD 32.1 billion by 2032 is expected to grow at a compound annual growth rate (CAGR) of 7.5% over the forecast period. A rise in demand for diagnostic imaging software in fields, such as dental, orthopedics, urology, neurology, and oncology, is likely to contribute to the market growth. The growing adoption of ultrasound imaging systems to facilitate faster diagnosis, particularly of chronic diseases, is expected to propel the demand. In addition, continuous developments in the field of imaging technology, such as Computer-aided Diagnosis (CAD), are anticipated to bolster the demand for these platforms. The introduction of Artificial Intelligence (AI) in medical imaging has changed the market dynamics in recent years and is anticipated to positively influence growth in the near future.

The Ai Medical Image Analysis report is an in-depth examination of the global Ai Medical Image Analysis's general consumption structure, development trends, sales techniques, and top nations' sales. The research looks at well-known providers in the global Ai Medical Image Analysis industry, as well as market segmentation, competition, and the macroeconomic climate. A complete Ai Medical Image Analysis analysis takes into account a number of aspects, including a country's population and business cycles, as well as market-specific microeconomic consequences. The global market research also includes a specific competition landscape section to help you better understand the Ai Medical Image Analysis industry. This information can help stakeholders make educated decisions before investing.

Leading players of Ai Medical Image Analysis including:

4Quant, ContextVision, Avicenna AI, Aidoc, ChironX, Arterys, GE Medical Imaging, Botkin.AI, Behold.ai, CureMetrix, Qure.ai, Volpara Health, Imagia, ScreenPoint Medical, Quibim, Innovation Dx, Siemens Medical Imaging, Lunit

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Software Type Insights
Integrated software dominated the market in 2021 with a revenue share of more than 54.5%. This high share is attributed to the benefits associated with the use of these solutions. The integrated toolkit is designed for a host of radiology applications to improve workflow. For instance, Philip's Xcelera Cardiology Information Management is an integrated image management software that facilitates single-point access to advanced clinical applications and improves clinical workflow. The introduction of these types of solutions is contributing to the segment's dominant revenue share. High adoption of integrated systems due to its benefits, such as cost-effectiveness, centralized data storage, and access to live data for multiple users to process, is anticipated to further fuel the segment growth

Modality Insights
On the basis of modalities, the global market has been further divided into tomography, ultrasound imaging, radiographic imaging, and combined modalities. The tomography segment accounted for the maximum share of 33.1% of the global revenue in 2021 owing to its cost-effectiveness. Dual-source and AI-enabled CT scanners are expected to be important milestones in the market growth. The introduction of advanced products is anticipated to propel the demand for CT imaging software in the coming years. For instance, ClariPiInc received FDA clearance for its AI-enabled CT scanner called "ClariCT.AI" in June 2019. Radiographic systems followed in terms of revenues

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The market analysis done with statistical tools also helps to analyze many aspects that include the demand, supply, storage costs, maintenance, profit, sales, and production details of the market. Furthermore, the global Ai Medical Image Analysis research report provides the details about the Ai Medical Image Analysis share, import volume, export volume, and the gross margin of the companies.

Ai Medical Image Analysis Segmentation by Type:

Hardware, Software.

Ai Medical Image Analysis Segmentation by Application:

Medical Diagnosis, Early Diagnosis, Medical Research, Other

Imaging Type Insights
The 4D imaging segment accounted for the largest market share of more than 45.00% in 2021. This segment is expected to maintain its leading position throughout the forecast period owing to technological advancements in 4D imaging technology enabling efficient and accurate real-time visualization of the human body, thereby eliminating distortion in procedures. 4D imaging is a 3-dimensional image analysis with real-time movement. The 3D and 4D imaging software solutions markets are likely to experience lucrative growth rates during the forecast period owing to the increasing adoption of these technologies.

In addition, shifting focus to provide enhanced care has led to the incorporation of various computer-aided diagnosis systems, which is further contributing to the market growth. The introduction of technologically advanced products and multimodality imaging platforms is also expected to drive the demand for the software in the coming years. For instance, in April 2021, the U.S. FDA granted 510(k) clearance to Philips' SmartCT 3D imaging software.

Application Insights
The cardiology segment accounted for the maximumshare of more than 20.00% of the global revenue in 2021. The growth is attributed to the high prevalence of cardiovascular and congenital heart diseases and government support to improve the accessibility of treatments. In February 2020, the U.S. FDA approved marketing of software to help medical professionals in the acquisition of echocardiography or cardiac ultrasound, images. The software, known as Caption Guidance, is an addition to compatible diagnostic ultrasound systems and utilizes artificial intelligence to help the user capture a patient's heart images that are of normal diagnostic quality.

The report provides Ai Medical Image Analysis industry demand trends in Q1 and Q2 2021.
• Individual circumstances of the Ai Medical Image Analysis segments are discussed in the report.
• The report contains forward-looking information on risks and uncertainties.
• The report studies the consumer-focused sectors of the Ai Medical Image Analysis.
• The trade scenarios of the products and services in particular segments are detailed in the report along with regulation, taxes, and tariffs.
• The trends that are impacting the Ai Medical Image Analysis for past few years are discussed in the report.
• The report studies the potential impact of the Covid-19 pandemic on the Ai Medical Image Analysis industry economy and performance of the market players in the same context.

Table of Content:

1 Scope of the Report
1.1 Market Introduction
1.2 Research Objectives
1.3 Years Considered
1.4 Market Research Methodology
1.5 Economic Indicators
1.6 Currency Considered
2 Executive Summary
3 Global Ai Medical Image Analysis by Players
4 Ai Medical Image Analysis by Regions
4.1 Ai Medical Image Analysis Size by Regions
4.2 Americas Ai Medical Image Analysis Size Growth
4.3 APAC Ai Medical Image Analysis Size Growth
4.4 Europe Ai Medical Image Analysis Size Growth
4.5 Middle East & Africa Ai Medical Image Analysis Size Growth
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
9.1 Market Drivers and Impact
9.1.1 Growing Demand from Key Regions
9.1.2 Growing Demand from Key Applications and Potential Industries
9.2 Market Challenges and Impact
9.3 Market Trends
10 Global Ai Medical Image Analysis Forecast
11 Key Players Analysis
12 Research Findings and Conclusion

AI in Medical Imaging Market: Overview
The latest research report published by Transparency Market Research pertains to the global AI in medical imaging market for the historical period 2018 & 2019 and the forecast period from 2021-2031
Emerging nations are focusing on aggregating their investments in AI that will help companies to integrate artificial intelligence with medical imaging to significantly enhance their revenue share. For instance, in July 2017, China published its next generation AI development plan. The country's focus is to be the global leader in AI by the year 2030. The plan includes extensive government funding and investments in order to upsurge the adoption of AI solutions among organizations. This is likely to drive the AI in medical imaging market during the forecasted period.
In terms of revenue, the global AI in medical imaging market is projected to reach the value of US$ 20.11 Bn by 2031, expanding at a CAGR of 36.1% during the forecast period

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