人工智慧在诊断超音波影像市场的应用－全球产业规模、份额、趋势、机会及预测（按解决方案、应用、技术、超音波技术、最终用途、地区和竞争格局划分，2021-2031年）

全球超音波影像成像人工智慧 (AI) 市场预计将从 2025 年的 13.4 亿美元成长到 2031 年的 19.7 亿美元，复合年增长率为 6.63%。

这项技术将机器学习演算法整合到超音波诊断设备中，以实现影像撷取自动化、提高影像品质并辅助诊断分析。其发展的主要驱动力是优化临床工作流程和缓解熟练医务专业短缺的影响，从而迫切需要技术来辅助人类操作。根据美国放射技师协会 (ASRT) 的数据，到 2025 年，美国超音波技师的空缺率将达到 12.4%，这种劳动力短缺推动了对自动化解决方案的需求，这些解决方案能够在人员配备有限的情况下保持高患者吞吐量和诊断一致性。

然而，阻碍市场普及的一大障碍在于难以将这些先进演算法整合到现有的医院资讯系统中。缺乏标准化的互通性通讯协定常常造成技术壁垒，阻碍人工智慧软体与现有电子健康记录（EHR）系统之间的无缝资料传输。因此，这些连结性问题阻碍了医疗机构广泛使用这些解决方案，从而有效地延缓了人工智慧在医疗机构的普及应用。

市场驱动因素

照护现场超音波（POCUS）的快速发展正成为推动市场成长的重要因素，因为人工智慧使非专业人士也能更方便地取得诊断影像。透过将人工智慧演算法直接嵌入携带式设备，辅助探头定位和影像分析，这项技术有效地降低了急诊医生、护理师和基层医疗医生使用该技术的门槛。携带式解决方案相关的监管动态也凸显了这个趋势。例如，Exo公司在2024年9月发布的「即时革命」公告中透露，光是2024年，其人工智慧技术就获得了FDA核准的四项新的适应症，使其核准总合达到九项。这表明，人工智慧赋能的POCUS设备正在迅速商业化。

同时，企业投资的增加正在加速将深度学习模型融入传统超音波系统。大型医疗技术公司正策略性地收购专业的AI软体公司，以期立即利用自动识别和测量工具来增强其现有平台。一个显着的整合案例是，GE医疗于2024年7月宣布达成协议，以约5,100万美元收购Intelligent Ultrasound的临床AI业务，这印证了产业正朝着AI驱动的效率提升方向转型。 MedTech Dive在2024年10月发布的监管数据也印证了这一趋势，数据显示，截至2024年8月，FDA已累计核准了950种搭载AI或机器学习技术的医疗设备，表明该领域拥有持续增长的有利环境。

市场挑战

将人工智慧演算法整合到现有医院资讯系统中的难度是限制全球超音波影像人工智慧市场发展的主要阻碍因素。医疗基础设施严重依赖现有的电子健康记录（EHR）和影像归檔与通讯系统（PACS），而这些系统通常与现代人工智慧应用不相容。这种互通性差距迫使超音波和放射科医师的工作流程支离破碎，需要频繁地手动传输数据，并在不同的工作站之间切换以验证人工智慧的分析结果。这种低效率的操作方式削弱了自动化带来的生产力提升，并降低了医疗机构的投资报酬率（ROI）。

因此，由于无法在技术上保证无缝资料交换，导致医疗机构在采用这些先进工具时犹豫不决。据医疗资讯与管理系统协会 (HIMSS) 称，到 2024 年，41% 的医疗机构认为将新解决方案整合到现有工作流程中是提高互通性的主要障碍。这项统计数据显示存在普遍的连结性差距，除非这些技术障碍得到解决，否则医疗机构将继续不愿扩大人工智慧的应用，导致整体市场成长停滞不前。

市场趋势

由于需要即时提供临床决策支持，且不希望受到云端处理延迟的影响，边缘运算应运而生，它能够实现设备即时人工智慧分析。製造商正在加速将高效能运算直接整合到超音波设备中，使复杂的演算法能够在扫描过程中即时运行。这项功能可实现自动影像选择和即时解剖量化，从而显着提高工作流程效率。例如，Fierce Biotech 在 2025 年 8 月报道称，飞利浦宣布推出其「Transcend Plus」套件。该套件包含 26 个获得 FDA已通过核准的人工智慧应用程序，并透过提供心臟衰竭和瓣膜性心臟病等疾病的即时自动解剖测量，提高了装置诊断速度。

同时，市场正转向扩展用于妇产科和心臟病学的专用人工智慧演算法，将重点从通用影像增强转向检测特定的复杂病理。开发人员正在超越标准的生物识别技术，建立深度学习模型，以识别常规检查中经常被忽略的细微结构异常，从而帮助全科医生剋服学习详细胎儿和心臟评估的陡峭曲线。 2025年1月，母胎医学会重点介绍了一项研究，该研究表明，专用人工智慧软体将潜在严重先天性心臟疾病的检出率提高到97%以上，显着优于标准检测方法。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章 人工智慧在超音波影像的全球市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 依解决方案分类（软体工具、服务、设备）
  • 依应用领域（放射线学、循环系统、消化系统、妇产科）
  • 透过科技（机器学习、自然语言处理、上下文感知计算、电脑视觉）
  • 透过超音波技术（诊断影像、治疗、二维或三维/四维超音波影像、高强度聚焦超音波、体外震波碎石术、多普勒超音波）
  • 透过申请（医院、诊所、研究实验室/诊断中心等）
  • 按地区
  • 按公司（2025 年）
• 市场地图

第六章 北美超音波影像人工智慧市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 我们
  • 加拿大
  • 墨西哥

7. 欧洲人工智慧市场在超音波影像的展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

8. 亚太地区人工智慧在超音波影像的市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

9. 中东和非洲超音波影像市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

第十章：南美洲超音波影像市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 司机
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 最新进展

第十三章 全球超音波影像影像人工智慧市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的可能性
• 供应商电力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• NVIDIA Corporation
• SmartAlpha
• Intel Corporation
• EchoNous, Inc.
• General Vision Inc.
• Lunit Inc.
• Agfa-Gevaert Group
• Butterfly Network, Inc.
• Enlitic, Inc.
• Micron Technology, Inc.

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global AI In Ultrasound Imaging Market is projected to expand from USD 1.34 Billion in 2025 to USD 1.97 Billion by 2031, registering a CAGR of 6.63%. This technology integrates machine learning algorithms into sonography equipment to automate image acquisition, enhance visual quality, and aid in diagnostic analysis. The primary catalyst for this growth is the necessity to optimize clinical workflows and mitigate the impact of a shortage of skilled medical professionals, which creates a strong need for technology that augments human capabilities. Data from the American Society of Radiologic Technologists indicates that the vacancy rate for sonography positions in the United States reached 12.4% in 2025, a workforce gap that fuels the demand for automated solutions capable of sustaining high patient throughput and diagnostic uniformity despite staffing limitations.

However, a major obstacle hindering widespread market adoption is the difficulty of incorporating these advanced algorithms into older hospital information systems. The absence of standardized interoperability protocols frequently results in technical hurdles that block seamless data transfer between AI software and established electronic health records. Consequently, these connectivity issues discourage healthcare institutions from expanding their use of these solutions, effectively slowing the scaling of AI implementations in medical facilities.

Market Driver

The surge in Point-of-Care Ultrasound (POCUS) utilization acts as a major market accelerator, as artificial intelligence increasingly makes diagnostic imaging accessible to non-specialists. By embedding AI algorithms directly into handheld devices to assist with probe positioning and image analysis, the technology effectively reduces entry barriers for emergency physicians, nurses, and primary care practitioners. This trend is highlighted by vigorous regulatory progress involving portable solutions; for instance, Exo announced in September 2024 via their "Revolution in Real Time" release that they secured FDA clearance for four new AI indications in 2024 alone, reaching a total of nine clearances and demonstrating the rapid commercialization of AI-enabled POCUS instruments.

Concurrently, increased corporate investment is speeding up the incorporation of deep learning models into traditional ultrasound systems. Leading medical technology companies are strategically acquiring specialized AI software firms to immediately enhance their legacy platforms with automated recognition and measurement tools. A prominent example of this consolidation occurred in July 2024, when GE HealthCare announced its agreement to acquire Intelligent Ultrasound's clinical AI business for roughly $51 million, underscoring the industry's shift toward AI-driven efficiency. This momentum is further evidenced by regulatory data reported by MedTech Dive in October 2024, noting that the FDA had authorized a cumulative total of 950 AI or machine learning-enabled medical devices by August 2024, indicating a favorable environment for sustained growth.

Market Challenge

The difficulty of embedding AI algorithms within legacy hospital information systems serves as a significant restraint on the Global AI In Ultrasound Imaging Market. Medical infrastructure relies heavily on established Electronic Health Records and Picture Archiving and Communication Systems, which often lack compatibility with contemporary AI applications. This interoperability gap compels sonographers and radiologists to navigate fragmented workflows, frequently necessitating manual data transfers or switching between different workstations to view AI-derived insights. Such operational inefficiencies undermine the productivity benefits promised by automation, thereby diminishing the perceived return on investment for healthcare facilities.

As a result, the technical inability to ensure seamless data exchange fosters hesitation regarding the adoption of these advanced tools. According to the Healthcare Information and Management Systems Society (HIMSS), 41% of healthcare organizations in 2024 identified the integration of new solutions into current workflows as a major impediment to enhancing interoperability. This statistic highlights the widespread nature of the connectivity gap; as long as these technical hurdles remain, healthcare providers will continue to be reluctant to scale AI implementations, effectively stalling broader market expansion.

Market Trends

The adoption of Edge Computing for Instant On-Device AI Analysis is developing into a pivotal trend, fueled by the necessity for immediate clinical decision support devoid of cloud-processing delays. Manufacturers are increasingly integrating high-performance computing directly into ultrasound units, allowing complex algorithms to operate in real-time during scans. This capability facilitates the automated selection of ideal images and instant anatomical quantification, greatly improving workflow efficiency. For example, Fierce Biotech reported in August 2025 that Philips launched its Transcend Plus suite, which incorporates 26 FDA-cleared AI applications to deliver real-time, automated anatomical measurements for conditions like heart failure and valve disease, thereby enhancing on-device diagnostic speed.

Simultaneously, the market is witnessing a shift toward the Expansion of Specialized AI Algorithms for OB/GYN and Cardiology, moving focus from general image improvement to the detection of specific, complex pathologies. Developers are advancing beyond standard biometry to build deep learning models that can identify subtle structural anomalies often overlooked in routine exams, helping generalist operators navigate the steep learning curve of detailed fetal and cardiac assessments. In January 2025, the Society for Maternal-Fetal Medicine highlighted research showing that specialized AI software boosted detection rates for potential major congenital heart defects to over 97%, significantly surpassing standard detection methods.

Key Market Players

• NVIDIA Corporation
• SmartAlpha
• Intel Corporation
• EchoNous, Inc.
• General Vision Inc.
• Lunit Inc.
• Agfa-Gevaert Group
• Butterfly Network, Inc.
• Enlitic, Inc.
• Micron Technology, Inc.

Report Scope

In this report, the Global AI In Ultrasound Imaging Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

AI In Ultrasound Imaging Market, By Solution

• Software Tools
• Services
• Devices

AI In Ultrasound Imaging Market, By Application

• Radiology
• Cardiovascular
• Gastroenterology
• Obstetrics & Gynecology

AI In Ultrasound Imaging Market, By Technology

• Machine Learning
• Natural Language Processing
• Context- Aware Computing
• Computer Vision

AI In Ultrasound Imaging Market, By Ultrasound Technology

• Diagnostic Imaging
• Therapeutic
• 2D or 3D/4D Ultrasound Imaging
• High Intensity Focused Ultrasound
• Extracorporeal Shockwave Lithotripsy
• Doppler Ultrasound

AI In Ultrasound Imaging Market, By End Use

• Hospitals
• Clinics
• Research Labs & Diagnostic Centers
• Others

AI In Ultrasound Imaging Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global AI In Ultrasound Imaging Market.

Available Customizations:

Global AI In Ultrasound Imaging Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global AI In Ultrasound Imaging Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Solution (Software Tools, Services, Devices)
  • 5.2.2. By Application (Radiology, Cardiovascular, Gastroenterology, Obstetrics & Gynecology)
  • 5.2.3. By Technology (Machine Learning, Natural Language Processing, Context- Aware Computing, Computer Vision)
  • 5.2.4. By Ultrasound Technology (Diagnostic Imaging, Therapeutic, 2D or 3D/4D Ultrasound Imaging, High Intensity Focused Ultrasound, Extracorporeal Shockwave Lithotripsy, Doppler Ultrasound)
  • 5.2.5. By End Use (Hospitals, Clinics, Research Labs & Diagnostic Centers, Others)
  • 5.2.6. By Region
  • 5.2.7. By Company (2025)
• 5.3. Market Map

6. North America AI In Ultrasound Imaging Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Solution
  • 6.2.2. By Application
  • 6.2.3. By Technology
  • 6.2.4. By Ultrasound Technology
  • 6.2.5. By End Use
  • 6.2.6. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States AI In Ultrasound Imaging Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Solution
      • 6.3.1.2.2. By Application
      • 6.3.1.2.3. By Technology
      • 6.3.1.2.4. By Ultrasound Technology
      • 6.3.1.2.5. By End Use
  • 6.3.2. Canada AI In Ultrasound Imaging Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Solution
      • 6.3.2.2.2. By Application
      • 6.3.2.2.3. By Technology
      • 6.3.2.2.4. By Ultrasound Technology
      • 6.3.2.2.5. By End Use
  • 6.3.3. Mexico AI In Ultrasound Imaging Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Solution
      • 6.3.3.2.2. By Application
      • 6.3.3.2.3. By Technology
      • 6.3.3.2.4. By Ultrasound Technology
      • 6.3.3.2.5. By End Use

7. Europe AI In Ultrasound Imaging Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Solution
  • 7.2.2. By Application
  • 7.2.3. By Technology
  • 7.2.4. By Ultrasound Technology
  • 7.2.5. By End Use
  • 7.2.6. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany AI In Ultrasound Imaging Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Solution
      • 7.3.1.2.2. By Application
      • 7.3.1.2.3. By Technology
      • 7.3.1.2.4. By Ultrasound Technology
      • 7.3.1.2.5. By End Use
  • 7.3.2. France AI In Ultrasound Imaging Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Solution
      • 7.3.2.2.2. By Application
      • 7.3.2.2.3. By Technology
      • 7.3.2.2.4. By Ultrasound Technology
      • 7.3.2.2.5. By End Use
  • 7.3.3. United Kingdom AI In Ultrasound Imaging Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Solution
      • 7.3.3.2.2. By Application
      • 7.3.3.2.3. By Technology
      • 7.3.3.2.4. By Ultrasound Technology
      • 7.3.3.2.5. By End Use
  • 7.3.4. Italy AI In Ultrasound Imaging Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Solution
      • 7.3.4.2.2. By Application
      • 7.3.4.2.3. By Technology
      • 7.3.4.2.4. By Ultrasound Technology
      • 7.3.4.2.5. By End Use
  • 7.3.5. Spain AI In Ultrasound Imaging Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Solution
      • 7.3.5.2.2. By Application
      • 7.3.5.2.3. By Technology
      • 7.3.5.2.4. By Ultrasound Technology
      • 7.3.5.2.5. By End Use

8. Asia Pacific AI In Ultrasound Imaging Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Solution
  • 8.2.2. By Application
  • 8.2.3. By Technology
  • 8.2.4. By Ultrasound Technology
  • 8.2.5. By End Use
  • 8.2.6. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China AI In Ultrasound Imaging Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Solution
      • 8.3.1.2.2. By Application
      • 8.3.1.2.3. By Technology
      • 8.3.1.2.4. By Ultrasound Technology
      • 8.3.1.2.5. By End Use
  • 8.3.2. India AI In Ultrasound Imaging Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Solution
      • 8.3.2.2.2. By Application
      • 8.3.2.2.3. By Technology
      • 8.3.2.2.4. By Ultrasound Technology
      • 8.3.2.2.5. By End Use
  • 8.3.3. Japan AI In Ultrasound Imaging Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Solution
      • 8.3.3.2.2. By Application
      • 8.3.3.2.3. By Technology
      • 8.3.3.2.4. By Ultrasound Technology
      • 8.3.3.2.5. By End Use
  • 8.3.4. South Korea AI In Ultrasound Imaging Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Solution
      • 8.3.4.2.2. By Application
      • 8.3.4.2.3. By Technology
      • 8.3.4.2.4. By Ultrasound Technology
      • 8.3.4.2.5. By End Use
  • 8.3.5. Australia AI In Ultrasound Imaging Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Solution
      • 8.3.5.2.2. By Application
      • 8.3.5.2.3. By Technology
      • 8.3.5.2.4. By Ultrasound Technology
      • 8.3.5.2.5. By End Use

9. Middle East & Africa AI In Ultrasound Imaging Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Solution
  • 9.2.2. By Application
  • 9.2.3. By Technology
  • 9.2.4. By Ultrasound Technology
  • 9.2.5. By End Use
  • 9.2.6. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia AI In Ultrasound Imaging Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Solution
      • 9.3.1.2.2. By Application
      • 9.3.1.2.3. By Technology
      • 9.3.1.2.4. By Ultrasound Technology
      • 9.3.1.2.5. By End Use
  • 9.3.2. UAE AI In Ultrasound Imaging Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Solution
      • 9.3.2.2.2. By Application
      • 9.3.2.2.3. By Technology
      • 9.3.2.2.4. By Ultrasound Technology
      • 9.3.2.2.5. By End Use
  • 9.3.3. South Africa AI In Ultrasound Imaging Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Solution
      • 9.3.3.2.2. By Application
      • 9.3.3.2.3. By Technology
      • 9.3.3.2.4. By Ultrasound Technology
      • 9.3.3.2.5. By End Use

10. South America AI In Ultrasound Imaging Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Solution
  • 10.2.2. By Application
  • 10.2.3. By Technology
  • 10.2.4. By Ultrasound Technology
  • 10.2.5. By End Use
  • 10.2.6. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil AI In Ultrasound Imaging Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Solution
      • 10.3.1.2.2. By Application
      • 10.3.1.2.3. By Technology
      • 10.3.1.2.4. By Ultrasound Technology
      • 10.3.1.2.5. By End Use
  • 10.3.2. Colombia AI In Ultrasound Imaging Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Solution
      • 10.3.2.2.2. By Application
      • 10.3.2.2.3. By Technology
      • 10.3.2.2.4. By Ultrasound Technology
      • 10.3.2.2.5. By End Use
  • 10.3.3. Argentina AI In Ultrasound Imaging Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Solution
      • 10.3.3.2.2. By Application
      • 10.3.3.2.3. By Technology
      • 10.3.3.2.4. By Ultrasound Technology
      • 10.3.3.2.5. By End Use

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global AI In Ultrasound Imaging Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. NVIDIA Corporation
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. SmartAlpha
• 15.3. Intel Corporation
• 15.4. EchoNous, Inc.
• 15.5. General Vision Inc.
• 15.6. Lunit Inc.
• 15.7. Agfa-Gevaert Group
• 15.8. Butterfly Network, Inc.
• 15.9. Enlitic, Inc.
• 15.10. Micron Technology, Inc.

16. Strategic Recommendations

17. About Us & Disclaimer