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市場調查報告書
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1949480

人工智慧在診斷超音波影像市場的應用－全球產業規模、佔有率、趨勢、機會及預測（按解決方案、應用、技術、超音波技術、最終用途、地區和競爭格局分類，2021-2031年）

AI In Ultrasound Imaging Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Solution, By Application, By Technology, By Ultrasound Technology, By End Use, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 181 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球超音波影像成像人工智慧 (AI) 市場預計將從 2025 年的 13.4 億美元成長到 2031 年的 19.7 億美元，複合年成長率為 6.63%。

這項技術將機器學習演算法整合到超音波診斷設備中，以實現影像擷取自動化、提高影像品質並輔助診斷分析。其發展的主要驅動力是最佳化臨床工作流程和緩解熟練醫務專業短缺的影響，從而迫切需要技術來輔助人類操作。根據美國放射技師協會 (ASRT) 的數據，到 2025 年，美國超音波技師的空缺率將達到 12.4%，這種勞動力短缺推動了對自動化解決方案的需求，這些解決方案能夠在人員配備有限的情況下保持高患者吞吐量和診斷一致性。

市場概覽
預測期 2027-2031
市場規模：2025年 13.4億美元
市場規模：2031年 19.7億美元
複合年成長率：2026-2031年 6.63%
成長最快的細分市場 軟體工具
最大的市場 北美洲

然而，阻礙市場普及的一大障礙在於難以將這些先進演算法整合到現有的醫院資訊系統中。缺乏標準化的互通性通訊協定常常造成技術壁壘，阻礙人工智慧軟體與現有電子健康記錄（EHR）系統之間的無縫資料傳輸。因此，這些連結性問題阻礙了醫療機構廣泛使用這些解決方案，從而有效地延緩了人工智慧在醫療機構的普及應用。

市場促進因素

照護現場超音波（POCUS）的快速發展正成為推動市場成長的重要因素，因為人工智慧使非專業人士也能更方便地取得診斷影像。透過將人工智慧演算法直接嵌入攜帶式設備，輔助探頭定位和影像分析，這項技術有效地降低了急診醫生、護理師和基層醫療醫生使用該技術的門檻。攜帶式解決方案相關的監管動態也凸顯了這個趨勢。例如，Exo公司在2024年9月發布的「即時革命」公告中透露，光是2024年，其人工智慧技術就獲得了FDA核准的四項新的適應症，使其核准總合達到九項。這表明，人工智慧賦能的POCUS設備正在迅速商業化。

同時，企業投資的增加正在加速將深度學習模型融入傳統超音波系統。大型醫療技術公司正策略性地收購專業的AI軟體公司，以期立即利用自動識別和測量工具來增強其現有平台。一個顯著的整合案例是，GE醫療於2024年7月宣布達成協議，以約5,100萬美元收購Intelligent Ultrasound的臨床AI業務，這印證了產業正朝著AI驅動的效率提升方向轉型。 MedTech Dive在2024年10月發布的監管數據也印證了這一趨勢，數據顯示，截至2024年8月，FDA已累計核准了950種搭載AI或機器學習技術的醫療設備，表明該領域擁有持續成長的有利環境。

市場挑戰

將人工智慧演算法整合到現有醫院資訊系統中的難度是限制全球超音波影像人工智慧市場發展的主要阻礙因素。醫療基礎設施嚴重依賴現有的電子健康記錄（EHR）和影像歸檔與通訊系統（PACS），而這些系統通常與現代人工智慧應用不相容。這種互通性差距迫使超音波和放射科醫師的工作流程支離破碎，需要頻繁地手動傳輸數據，並在不同的工作站之間切換以驗證人工智慧的分析結果。這種低效率的操作方式削弱了自動化帶來的生產力提升，並降低了醫療機構的投資報酬率（ROI）。

因此，由於無法在技術上保證無縫資料交換，導致醫療機構在採用這些先進工具時猶豫不決。據醫療資訊與管理系統協會 (HIMSS) 稱，到 2024 年，41% 的醫療機構認為將新解決方案整合到現有工作流程中是提高互通性的主要障礙。這項統計數據顯示存在普遍的連結性差距，除非這些技術障礙得到解決，否則醫療機構將繼續不願擴大人工智慧的應用，導致整體市場成長停滯不前。

市場趨勢

由於需要即時提供臨床決策支持，且不希望受到雲端處理延遲的影響，邊緣運算應運而生，它能夠實現設備即時人工智慧分析。製造商正在加速將高效能運算直接整合到超音波設備中，使複雜的演算法能夠在掃描過程中即時運行。這項功能可實現自動影像選擇和即時解剖量化，從而顯著提高工作流程效率。例如，Fierce Biotech 在 2025 年 8 月報道稱，飛利浦宣布推出其「Transcend Plus」套件。該套件包含 26 個獲得 FDA已通過核准的人工智慧應用程式，並透過提供心臟衰竭和瓣膜性心臟病等疾病的即時自動解剖測量，提高了裝置診斷速度。

同時，市場正轉向擴展用於婦產科和心臟病學的專用人工智慧演算法，將重點從通用影像增強轉向檢測特定的複雜病理。開發人員正在超越標準的生物識別技術，建立深度學習模型，以識別常規檢查中經常被忽略的細微結構異常，從而幫助全科醫生剋服學習詳細胎兒和心臟評估的陡峭曲線。 2025年1月，母胎醫學會重點介紹了一項研究，該研究表明，專用人工智慧軟體將潛在嚴重先天性心臟疾病的檢出率提高到97%以上，顯著優於標準檢測方法。

目錄

第1章概述

第2章調查方法

第3章執行摘要

第4章：客戶評價

第5章 人工智慧在超音波影像的全球市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 依解決方案分類（軟體工具、服務、設備）
    • 依應用領域（放射線學、循環系統、消化系統、婦產科）
    • 透過科技（機器學習、自然語言處理、上下文感知計算、電腦視覺）
    • 透過超音波技術（診斷影像、治療、2D或3D/四維超音波影像、高強度聚焦超音波、體外震波碎石術、多普勒超音波）
    • 透過申請（醫院、診所、研究實驗室/診斷中心等）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章 北美超音波影像人工智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國家分析
    • 美國
    • 加拿大
    • 墨西哥

7. 歐洲人工智慧市場在超音波影像的展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

8. 亞太地區人工智慧在超音波影像的市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

9. 中東和非洲超音波影像市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲超音波影像市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進要素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 最新進展

第13章 全球超音波影像影像人工智慧市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的可能性
  • 供應商電力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

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

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
Product Code: 27563

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.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 1.34 Billion
Market Size 2031USD 1.97 Billion
CAGR 2026-20316.63%
Fastest Growing SegmentSoftware Tools
Largest MarketNorth America

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