Balloon Aortic Valvuloplasty Market Report 2023 To 2031 By Top Key Players, Types & Applications

The Balloon Aortic Valvuloplasty Market size is expected to grow from US$ 125.08 million in 2023 to US$ 190.27 million by 2031; it is projected to register a CAGR of 5.4% during 2023-2031.

The rising prevalence of aortic valve stenosis and increasing demand for minimally invasive procedures are noteworthy factors contributing to the expansion of the balloon aortic valvuloplasty market size. However, the high cost of procedures hinders the balloon aortic valvuloplasty market growth.

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Analysis of the Top Market Players:

1. B Braun SE
2. TT Medical, Inc.
3. Balton
4. Becton Dickinson and Co
5. Edwards Lifesciences Corp
6. Balt?
7. Venus MedTech HangZhou Inc
8. NuMED
9. simeks
10. OSYPKA

In this report, the market has been segmented on the basis of:

Product Type

• Non-Compliant Balloons
• Semi-Compliant Balloons

Geography
• North America
• Europe
• Asia Pacific
• Middle East & Africa
• South & Central America

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TAVR was originally considered only for patients with severe aortic stenosis who were considered inoperable or at very high risk. However, continuous technological evolution in valve technology and the results of randomized trials have expanded its usage to younger and lower-risk patients, making it a mainstream treatment for aortic valve disease. With developments in valve production technologies, bioprosthetic heart valves are becoming more popular and applicable to younger and lower-risk patients. With its minimally invasive feature, a majority of valve replacements will soon be via TAVR. New-generation transcatheter heart valves have substantially improved procedural efficacy, safety, and patient outcomes, making TAVR an appealing option for different patient risk groups.

Predicting the performance of the heart valve upon implantation is critically important for a successful TAVR. It is desirable to mechanically assess selected heart valves before implantation to ensure proper valve function with minimal complications after implantation. A potential practical and effective solution for applying engineering analysis to the mechanical assessment of heart valves is incorporating deep learning (DL)-based systems to advance and simplify the computational biomechanical analyses relevant to TAVR. In recent years, immense developments in DL techniques have led to state-of-the-art performances in many computer vision tasks, including image classification, image segmentation, and object detection. DL has been extensively investigated for various cardiac imaging applications, including diagnostic, prognostic, risk stratification, and therapeutic/surgical treatment planning. Numerous studies have investigated DL approaches for assessing TAVR outcomes to predict postoperative complications and prosthetic valve defects.

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