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醫學影像診斷人工智能

市場調查報告書

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2086948

人工智慧（AI）在超音波影像：市場洞察、競爭格局及市場預測（2034 年）

Artificial Intelligence (AI) in Ultrasound Imaging - Market Insights, Competitive Landscape, and Market Forecast - 2034

出版日期: 2026年07月01日 | 出版商:

DelveInsight | 英文 150 Pages | 商品交期: 2-10個工作天內

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簡介目錄圖表

超音波影像人工智慧市場概述

概述：

預計到 2025 年，超音波影像人工智慧市場規模將達到 20 億美元，到 2034 年將達到 139 億美元。這一成長的促進因素包括全球心血管疾病和癌症負擔的加重、床邊超音波的普及以及 FDA已通過核准的、可自動測量並為影像擷取提供指導的人工智慧軟體的出現。
全球超音波影像人工智慧市場預計在 2026 年至 2034 年的預測期內將以 24.0% 的複合年成長率成長。
按組件分類，預計到 2025 年，軟體部分將佔 61% 的佔有率，推動超音波影像領域的 AI 市場發展。
按技術分類，機器學習領域預計到 2025 年將佔 43% 的佔有率，推動超音波影像領域的 AI 市場發展。
按應用領域分類，預計到 2025 年放射學領域將佔 32% 的市場佔有率，引領超音波影像領域的 AI 市場。
按最終用戶分類，預計到 2025 年，醫院領域將引領市場，佔超音波影像人工智慧市場佔有率的 48%。
預計到 2025 年，北美將佔 44% 的市場佔有率，引領全球超音波影像人工智慧市場，並在全球各地區中佔最高的市場佔有率。

超音波影像中的人工智慧 (AI) 指的是將機器學習、深度學習和電腦視覺技術整合到超音波系統和軟體中，以提高影像擷取、解讀和診斷準確性。這些解決方案可實現複雜測量的自動化、異常檢測、探頭定位輔助、工作流程最佳化和即時決策支持，從而減少對操作者的依賴並提高診斷一致性。市場將支援人工智慧的硬體（例如推車式和手持式系統以及基於半導體的探頭）與軟體演算法、連接、雲端和託管服務相結合。核心技術包括機器學習、深度學習、電腦視覺和情境感知計算，這些技術已廣泛應用於循環系統、放射學、婦產科、腫瘤學、急診醫學和床邊診療等領域。它們的部署範圍正在擴展到醫院、影像中心、門診和床邊診療環境，並且在床邊和現場應用中也不斷增加。過去十年間，超音波診斷的應用範圍已從產科擴展到眾多專科領域，隨著配備人工智慧引導的可攜式床邊超音波診斷設備的興起，其應用也日益普及，即使是新手用戶也能獲得診斷級影像。憑藉美國食品藥物管理局（FDA）的快速核准流程、人工智慧輔助心臟超音波圖的醫保覆蓋，以及人工智慧開發者與超音波診斷設備製造商之間的合作，人工智慧已成為現代超音波診斷領域最具變革性的驅動力。

人工智慧在超音波影像成像市場的關鍵市場促進因素

隨著心血管疾病和癌症造成的全球疾病負擔日益加重，影像檢查的數量也隨之增加。世界衛生組織（世衛組織）估計，每年有1790萬人死於心血管疾病，而國際癌症研究機構（IARC）預測，癌症患者人數將從2022年的2000萬增加到2050年的3500萬。
在人工智慧驅動的影像引導的支持下，床邊超音波的廣泛應用正在擴大診斷影像檢查應用的範圍，使其擴展到急診醫學、重症監護、基層醫療，甚至偏遠地區。
隨著法規核准速度加快，部署的設備數量也在增加，FDA 已批准了 1000 多種人工智慧和機器學習醫療設備，其中大部分用於放射學和診斷成像領域。
隨著放射科醫師和超音波技師短缺問題日益嚴重，診斷影像的工作量不斷增加，採用人工智慧來自動化測量、記錄和工作流程正在逐步推進。
領先的製造商正在將 FDA已通過核准的AI 整合到高階系統中，包括心血管和母胎平台，以促進其在臨床環境中的應用。
由於可產生持續收入的軟體、訂閱模式、雲端連接和企業工作流程平台，人工智慧驅動的超音波診斷設備的商業性價值正在不斷擴大。
疾病負擔加重、即時照護的擴展、監管支持和勞動力短缺等多種因素預計將推動市場在 2034 年前持續快速成長。

推動人工智慧在超音波影像市場成長的因素

市場促進因素

全球心血管疾病、癌症和慢性疾病負擔日益加重。

人工智慧在超音波影像市場的最強驅動力是全球慢性疾病負擔的日益加重，這導致超音波檢查的數量和複雜性不斷增加。世界衛生組織（WHO）的數據顯示，心血管疾病是全球首要死因，每年造成1790萬人死亡，這推動了對心臟超音波圖和血管成像的需求，而人工智慧可以自動測量射血分數和進行應變分析。國際癌症研究機構（IARC）記錄了2022年新增2000萬例癌症病例，並預測到2050年這一數字將達到3500萬，這擴大了腫瘤學領域的影像學檢查和監測需求。人口老化正在加速這一趨勢，美國疾病管制與預防中心（CDC）預測，到2040年，65歲及以上人口將達到8,090萬人。隨著疾病負擔和影像診斷數量的增加，人工智慧對於滿足市場需求至關重要，它能夠提高診斷準確性、實現自動測量並加快觀察，並將直接推動市場在2034年之前持續成長。

人工智慧引導的床邊超音波檢查正變得越來越普及。

床邊超音波的快速發展是其主要成長動力，而人工智慧則為其規模化應用提供了保障。手持式和基於半導體的超音波診斷設備已將影像範圍從專業檢查室擴展到急診室、加護病房、基層醫療機構、救護車和社區診所。人工智慧驅動的影像引導功能可輔助探頭定位、影像品質評估和解剖標誌識別，即使是新手用戶也能獲得診斷品質可靠的影像並自信地進行解讀。這消除了長期以來「操作者依賴性」的限制，此前超音波檢查僅限於訓練有素的超音波技師和專家。隨著人工智慧引導的床邊超音波在醫療機構和地區不斷普及，它將開拓新的大規模用戶群體和商機，並在預測期內加速其應用並擴大目標市場。

市場限制因素

儘管人工智慧在超音波影像的市場發展勢頭強勁，但仍面臨許多限制因素。由於人工智慧系統需要大量高度敏感的患者影像資料進行訓練和運行，資料隱私和安全問題尤其突出，由此引發的管治、知情同意獲取和網路安全挑戰可能會延緩系統部署。監管和臨床檢驗要求也日趨複雜。人工智慧輔助診斷工具必須展現出明確的臨床療效，並符合不斷變化的美國食品藥物管理局（FDA）法規、歐洲人工智慧法律以及各國相關框架，這導致產品上市時間延長，並需要持續監測演算法效能。將現有超音波診斷設備遷移到人工智慧系統的高昂初始成本，對於預算緊張的公立醫院和資金及報銷資源有限的醫療機構而言，無疑是一大障礙。成像設備與人工智慧平台之間的互通性問題，以及能夠操作和維護人工智慧系統的熟練人員短缺，也阻礙了人工智慧在某些地區的廣泛應用。人們對演算法偏差、在不同人群中的普適性以及人工智慧決策的課責等問題，都要求系統具備透明度和可靠的檢驗，而臨床醫生的信任仍然是一大挑戰。人工智慧成像技術的保險報銷在不同地區和適應症方面仍然存在差異，限制了投資回報。此外，市場依賴人工智慧開發商和超音波設備製造商之間持續的夥伴關係，以提供擴充性的、針對特定場景的解決方案，而整合失敗或碎片化可能會限制其價值。隱私、監管、成本、互通性、人才和信任等方面的障礙，儘管疾病負擔加重、臨床實踐中應用日益廣泛以及人才短缺等潛在促進因素依然強勁，但這些障礙共同作用，正在減緩市場成長速度。

競爭格局

市場集中度：市場集中度適中，成熟的影像設備製造商在高階系統主導，而即時診斷和軟體領域的新興企業正在迅速發展。
主要公司包括GE醫療、飛利浦、西門子醫療、佳能醫療、三星麥迪遜和富士膠片，它們構成了頂尖行列。
地理擴張：領先企業擁有全球銷售和服務網路，而即時護理領域的創新者正在迅速擴大其在北美、歐洲和亞太地區的業務。
產品系列優勢：領導企業擁有涵蓋推車式和手持式系統、嵌入式人工智慧和企業工作流程軟體的整合產品組合。
開發平臺優勢：擁有活躍的開發平臺，涵蓋自動化心臟影像量化、人工智慧影像引導、半導體晶片探針以及不斷擴展的臨床應用。
策略夥伴關係：透過人工智慧開發公司、超音波OEM 製造商和計算提供者（例如 GE 醫療和 NVIDIA）之間的合作，增強功能。
併購活動：產業重組仍在繼續，包括GE醫療收購Caption Health和Intelligent Ultrasound，以及飛利浦收購DiA Imaging Analysis。
製造能力：大規模生產系統和半導體探針的能力代表顯著的競爭優勢，尤其是在手持式和片上平台方面。
創新重點：人工智慧影像引導、自動射血分數和應變分析、胎兒生物特徵識別、晶片超音波和雲端企業工作流程。

人工智慧市場報告中關於超音波影像的關鍵點

針對目前超音波影像人工智慧市場規模（2025 年）及未來 9 年市場預測（2026 年至 2034 年）進行分析。
過去三年發生的重大產品和技術開發、合併、收購、合作和合資企業。
一家引領全球超音波影像人工智慧市場的領先公司。
人工智慧市場在超音波影像領域為競爭者提供了各種機會。
哪些細分市場在2025年表現最佳？這些細分市場在2034年將呈現哪些趨勢？
目前哪些地區、國家在超音波影像人工智慧市場表現最佳？
企業應將精力集中在哪些地區或國家，以抓住人工智慧在超音波影像市場未來的成長機會？

本「超音波影像中的人工智慧」市場報告的主要讀者。

超音波影像領域的人工智慧產品供應商
研究機構和顧問公司
超音波影像人工智慧領域的組織、協會、論壇和其他相關團體
政府機構和公司
新創公司、創業投資、私募股權公司
銷售代理商和公司在超音波影像從事人工智慧相關業務
這是為希望了解更多關於超音波影像人工智慧市場以及該市場最新技術趨勢的各類終端用戶準備的。

常問問題：

Q1. 人工智慧在超音波影像的市場成長率是多少？

預計從 2026 年到 2034 年的預測期內，超音波影像人工智慧市場將以 24.0% 的複合年成長率成長。

Q2.超音波影像人工智慧市場的市場規模有多大？

2025年，超音波影像人工智慧市場規模預計為20億美元，預計到2034年將達到139億美元。

Q3. 哪個地區在超音波影像人工智慧市場中處於主導？

預計到2025年，北美將引領人工智慧超音波成像市場，佔全球44%的銷售額。這得益於北美強大的超音波和人工智慧開發商基礎、床邊超音波診斷設備的早期應用、完善的FDA核准流程（已批准超過1000種人工智慧設備）以及人工智慧超音波影像的保險主導不斷擴大。亞太地區預計將成為預測期內成長最快的地區。

第四季：超音波影像領域人工智慧市場的主要促進因素是什麼？

主要的促進因素是全球心血管疾病和癌症負擔日益加重。世界衛生組織（WHO）估計，每年有1790萬人死於心血管疾病，國際癌症研究機構（IARC）預測，癌症患者人數將從2022年的2000萬增加到2050年的3500萬。其他促成因素包括人工智慧引導的床邊超音波的普及、美國食品藥物管理局（FDA）核准流程的加速（已有超過1000種人工智慧設備獲得批准），以及由於診斷影像需求不斷成長而導致的放射科醫生和超音波技師短缺。

Q5.超音波影像人工智慧市場的主要參與者有哪些公司？

主要參與者包括GE醫療科技公司、皇家飛利浦公司、西門子醫療股份公司、佳能醫療系統株式會社、三星麥迪遜株式會社、富士膠片控股株式會社、Butterfly Network公司、邁瑞醫療國際有限公司、Exo Imaging公司和Clarius Mobile Health公司，以及其他活躍的製造商和開發商，這些公司在「競爭格局」部分有詳細介紹。 GE醫療和飛利浦在高階心血管人工智慧領域處於領先地位，而Butterfly Network和Exo Imaging則在晶片超音波照護現場（PoC）平台領域處於領先地位。

超音波影像領域的人工智慧市場促進者
- 心血管疾病和癌症負擔日益加重
- 人工智慧驅動的床邊超音波檢查的普及
- 加速人工智慧設備法規核准
- 放射科醫生和超音波技師短缺
人工智慧超音波影像市場面臨的市場限制與挑戰
- 資料隱私、安全和臨床醫生信任
- 法規和臨床檢驗的複雜性
- 與成本、互通性和保險報銷相關的障礙。
人工智慧在超音波影像的市場機遇
- 「尖端超音波」和攜帶式即時檢測設備的擴展
- 擴展新興市場和企業的工作流程

第4章影響分析：人工智慧、地緣政治、貿易和經濟趨勢

第5章：監理分析

美國
歐洲
日本
中國

第6章：超音波影像人工智慧市場：波特五力分析

供應商的議價能力
買方的議價能力
新進入者的威脅
替代品的威脅
競爭公司之間的競爭

第7章：超音波影像領域人工智慧市場評估

按組件
- 軟體
- 硬體
- 服務
透過技術
- 機器學習
- 深度學習
- 電腦視覺
- 情境感知計算
- 自然語言處理
- 其他
用途別
- 放射科
- 循環系統
- 婦產科
- 腫瘤學
- 緊急醫療護理和現場護理
最終用戶
- 醫院
- 診斷影像中心
- 門診和即時護理場所
- 專科診所
- 研究和學術機構
按地區
- 北美洲
- 歐洲
- 亞太地區
- 世界其他地區

第8章：超音波影像領域人工智慧市場的競爭格局

市場集中度與結構
競爭定位與市場佔有率分析（加值服務）

第9章：超音波影像領域人工智慧市場相關新創企業的資金籌措和投資趨勢

第10章：超音波影像領域的人工智慧市場：公司概況和產品概況

GE HealthCare Technologies Inc.
- 公司簡介
- 公司簡介
- 財務概覽
- 產品系列
- 策略舉措/熵
Koninklijke Philips NV
Siemens Healthineers AG
Canon Medical Systems Corporation
Samsung Medison Co., Ltd.
FUJIFILM Holdings Corporation
Butterfly Network, Inc.
Mindray Medical International Limited
Exo Imaging, Inc.
Clarius Mobile Health Corp.

第11章：KOL的觀點

第12章：專案式教學方法

第13章：關於 DelveInsight

第14章免責聲明與聯絡方式

超音波影像領域的人工智慧市場促進者
- 心血管疾病和癌症負擔日益加重
- 人工智慧驅動的床邊超音波檢查的普及
- 加速人工智慧設備法規核准
- 放射科醫生和超音波技師短缺
人工智慧超音波影像市場面臨的市場限制與挑戰
- 資料隱私、安全和臨床醫生信任
- 法規和臨床檢驗的複雜性
- 與成本、互通性和保險報銷相關的障礙。
人工智慧在超音波影像的市場機遇
- 「尖端超音波」和攜帶式即時檢測設備的擴展
- 擴展新興市場和企業的工作流程

第4章影響分析：人工智慧、地緣政治、貿易和經濟趨勢

第5章：監理分析

美國
歐洲
日本
中國

第6章：超音波影像人工智慧市場：波特五力分析

供應商的議價能力
買方的議價能力
新進入者的威脅
替代品的威脅
競爭公司之間的競爭

第7章：超音波影像領域人工智慧市場評估

按組件
- 軟體
- 硬體
- 服務
透過技術
- 機器學習
- 深度學習
- 電腦視覺
- 情境感知計算
- 自然語言處理
- 其他
用途別
- 放射科
- 循環系統
- 婦產科
- 腫瘤學
- 緊急醫療護理和現場護理
最終用戶
- 醫院
- 診斷影像中心
- 門診和即時護理場所
- 專科診所
- 研究和學術機構
按地區
- 北美洲
- 歐洲
- 亞太地區
- 世界其他地區

第8章：超音波影像領域人工智慧市場的競爭格局

市場集中度與結構
競爭定位與市場佔有率分析（加值服務）

第9章：超音波影像領域人工智慧市場相關新創企業的資金籌措和投資趨勢

第10章：超音波影像領域的人工智慧市場：公司概況和產品概況

GE HealthCare Technologies Inc.
- 公司簡介
- 公司簡介
- 財務概覽
- 產品系列
- 策略舉措/熵
Koninklijke Philips NV
Siemens Healthineers AG
Canon Medical Systems Corporation
Samsung Medison Co., Ltd.
FUJIFILM Holdings Corporation
Butterfly Network, Inc.
Mindray Medical International Limited
Exo Imaging, Inc.
Clarius Mobile Health Corp.

第11章：KOL的觀點

第12章：專案式教學方法

第13章：關於 DelveInsight

第14章免責聲明與聯絡方式

簡介目錄圖表

Product Code: DIMDCL0935

AI in Ultrasound Imaging Market Summary

Overview:

The AI in Ultrasound Imaging market is estimated at USD 2.00 billion in 2025 and is projected to reach USD 13.90 billion by 2034. Growth is anchored in the rising global burden of cardiovascular disease and cancer, the democratization of point-of-care ultrasound, and a wave of FDA-cleared AI software that automates measurement and guides image acquisition.
The global AI in Ultrasound Imaging market is growing at a CAGR of 24.0% during the forecast period from 2026 to 2034.
By component, the software segment dominated the AI in Ultrasound Imaging market with a 61% share in 2025.
By technology, the machine learning segment dominated the AI in Ultrasound Imaging market with a 43% share in 2025.
By application, the radiology segment dominated the AI in Ultrasound Imaging market with a 32% share in 2025.
By end user, the hospitals segment dominated the AI in Ultrasound Imaging market with a 48% share in 2025.
North America dominated the global AI in Ultrasound Imaging market revenue with a 44% share in 2025, representing the highest regional market share globally.

Artificial intelligence (AI) in ultrasound imaging refers to the integration of machine learning, deep learning, and computer vision into ultrasound systems and software to enhance image acquisition, interpretation, and diagnostic accuracy. These solutions automate complex measurements, detect anomalies, guide probe positioning, optimize workflow, and provide real-time decision support, reducing operator dependency and improving consistency. The market combines AI-enabled hardware, including cart-based and handheld systems and semiconductor-based probes, with software algorithms and connectivity, cloud, and managed services. Core technologies span machine learning, deep learning, computer vision, and context-aware computing, applied across cardiology, radiology, obstetrics and gynecology, oncology, and emergency and point-of-care settings. Adoption extends across hospitals, diagnostic imaging centers, ambulatory and point-of-care environments, and increasingly the bedside and the field. Over the past decade, ultrasound has expanded from obstetrics into many specialties, and the rise of portable, AI-guided point-of-care ultrasound has democratized access, enabling even novice users to acquire diagnostic-quality images. Accelerating FDA clearances, reimbursement for AI-enabled echocardiography, and partnerships between AI developers and ultrasound manufacturers have positioned AI as the most transformative force in modern ultrasound.

AI in Ultrasound Imaging Market Key Growth Drivers

The rising global burden of cardiovascular disease and cancer is increasing imaging volumes, with the World Health Organization attributing 17.9 million deaths each year to cardiovascular disease and the International Agency for Research on Cancer projecting cancer cases to rise from 20 million in 2022 to 35 million by 2050.
The democratization of point-of-care ultrasound, supported by AI image guidance, is extending diagnostic imaging into emergency, critical care, primary care, and remote settings.
Accelerating regulatory clearances are expanding the installed base, with the FDA having authorized over 1,000 AI and machine-learning-enabled medical devices, the majority in radiology and imaging.
A growing shortage of radiologists and sonographers, combined with rising imaging workloads, is driving adoption of AI that automates measurement, documentation, and workflow.
Major manufacturers are embedding FDA-cleared AI across premium systems, including cardiovascular and maternal-fetal platforms, reinforcing clinical adoption.
Recurring-revenue software and subscription models, cloud connectivity, and enterprise workflow platforms are expanding the commercial value of AI-enabled ultrasound.
The convergence of disease burden, point-of-care expansion, regulatory support, and workforce pressure is expected to sustain rapid growth in the market through 2034.

Key Companies in AI in Ultrasound Imaging Market

The competitive landscape is led by the following active manufacturers and developers:

GE HealthCare Technologies Inc.
Koninklijke Philips N.V.
Siemens Healthineers AG
Canon Medical Systems Corporation
Samsung Medison Co., Ltd.
FUJIFILM Holdings Corporation
Butterfly Network, Inc.
Mindray Medical International Limited
Exo Imaging, Inc.
Clarius Mobile Health Corp.

Factors Contributing to the Growth of the AI in Ultrasound Imaging Market

Market Drivers

Rising Global Burden of Cardiovascular Disease, Cancer, and Chronic Conditions

The most powerful driver of the AI in Ultrasound Imaging market is the rising global burden of chronic disease, which is increasing the volume and complexity of ultrasound examinations. The World Health Organization attributes 17.9 million deaths each year to cardiovascular disease, the leading cause of death globally, driving demand for echocardiography and vascular imaging where AI automates ejection-fraction measurement and strain analysis. The International Agency for Research on Cancer recorded 20 million new cancer cases in 2022 and projects 35 million by 2050, expanding oncology imaging and surveillance. Aging populations compound this trend, with the United States Centers for Disease Control and Prevention projecting the population aged 65 and over to reach 80.9 million by 2040. As disease burden and imaging volumes rise, AI that improves diagnostic accuracy, automates measurement, and accelerates interpretation becomes essential to managing demand, directly expanding the market through 2034.

Democratization of Point-of-Care Ultrasound through AI Guidance

The rapid expansion of point-of-care ultrasound is a central growth engine, and AI is what makes it scalable. Handheld and semiconductor-based ultrasound devices have moved imaging out of dedicated rooms into emergency departments, intensive care units, primary care, ambulances, and rural clinics. AI image guidance assists with probe positioning, image quality assessment, and anatomical landmark identification, enabling even novice users to acquire diagnostic-quality scans and interpret them with confidence. This addresses the historic barrier of operator dependency that limited ultrasound to trained sonographers and specialists. As AI-guided point-of-care ultrasound broadens access across care settings and geographies, it opens large new user populations and revenue opportunities, accelerating adoption and expanding the addressable market across the forecast period.

Market Restraints

Despite strong momentum, the AI in Ultrasound Imaging market faces material constraints. Data privacy and security concerns are significant, as AI systems require large volumes of sensitive patient imaging data for training and operation, raising governance, consent, and cybersecurity challenges that can slow adoption. Regulatory and clinical-validation requirements add complexity, as AI-assisted diagnostic tools must demonstrate clear clinical benefit and navigate evolving FDA, European AI Act, and national frameworks, lengthening time to market and requiring continuous post-market monitoring of algorithm performance. High initial costs of transitioning existing ultrasound fleets to AI-enabled systems are a barrier for budget-constrained public hospitals and lower-resource settings, where capital and reimbursement are limited. Interoperability issues between imaging devices and AI platforms, along with a shortage of skilled staff able to operate and maintain AI systems, impede wider deployment in some regions. Clinician trust remains a gating factor, as concerns about algorithmic bias, generalizability across diverse populations, and accountability for AI-influenced decisions require transparency and robust validation. Reimbursement for AI-enabled imaging remains uneven across geographies and indications, constraining the return on investment. Finally, the market depends on continued partnerships between AI developers and ultrasound manufacturers to deliver scalable, contextual solutions, and integration failures or fragmentation can limit value. Together, these privacy, regulatory, cost, interoperability, workforce, and trust barriers temper the pace of growth, even as the underlying drivers of disease burden, point-of-care expansion, and workforce pressure remain firmly intact.

AI in Ultrasound Imaging Market Segment Analysis

The AI in Ultrasound Imaging Market by Component (Software, Hardware, Services), Technology (Machine Learning, Deep Learning, Computer Vision, Context-Aware Computing, Natural Language Processing, Others), Application (Radiology, Cardiology, Obstetrics and Gynecology, Oncology, Emergency and Point-of-Care, Others), End User (Hospitals, Diagnostic Imaging Centers, Ambulatory and Point-of-Care Settings, Specialty Clinics, Research and Academic Institutes, Others), and Geography (North America, Europe, Asia-Pacific, Rest of World).

By Component

Dominant Subsegment: Software. The software category is expected to dominate the market.

Dominant: Software ~ 61%

The software segment accounted for 61% of the AI in Ultrasound Imaging market in 2025. Software is the leading component because the intelligence in AI ultrasound lives in algorithms that automate measurement, guide acquisition, detect anomalies, and standardize reporting, and because software generates recurring revenue through licenses, subscriptions, and cloud services. The majority of FDA-cleared AI features in ultrasound are software, spanning automated ejection-fraction quantification, strain analysis, fetal biometry, and image-quality enhancement, and these can be deployed across new and existing hardware. Manufacturers increasingly ship AI software embedded in premium systems, exemplified by Philips Transcend Plus for its EPIQ CVx and Affiniti CVx platforms with FDA-cleared AI applications, and by GE HealthCare's Vivid Pioneer with up to 360% faster AI performance. Enterprise workflow platforms and software development kits that host third-party specialty modules deepen the software tier further. Because algorithms improve over time and scale across the installed base without new hardware, software commands the largest and most durable share, while hardware provides the imaging platform and services support deployment, training, and managed operations.

By Technology

Dominant Subsegment: Machine Learning. The machine learning category is expected to dominate the market.

Dominant: Machine Learning ~ 43%

The machine learning segment accounted for 43% of the AI in Ultrasound Imaging market in 2025. Machine learning is the leading technology because it underpins the majority of deployed AI ultrasound applications, from automated measurement and anomaly detection to image optimization and workflow prediction. Trained on large annotated imaging datasets, machine-learning models deliver the pattern-recognition and quantification capabilities that clinicians rely on for ejection fraction, strain, and obstetric biometry, and they form the foundation on which deep learning, a specialized subset, extends performance for complex image interpretation. Its dominance reflects maturity, regulatory familiarity, and broad integration across cardiovascular, maternal-fetal, and general imaging systems from GE HealthCare, Philips, Samsung Medison, and Canon Medical. Adjacent technologies are advancing quickly: deep learning is expanding rapidly for image reconstruction and detection, computer vision powers real-time guidance and probe positioning, and context-aware computing and natural language processing support intelligent workflow and reporting. While deep learning grows fastest from a smaller base, machine learning retains leadership in 2025 through its breadth of validated, deployed applications across the installed base.

By End User

Dominant Subsegment: Hospitals. The hospitals category is expected to dominate the market.

Dominant: Hospitals ~ 48%

The hospitals segment accounted for 48% of the AI in Ultrasound Imaging market in 2025. Hospitals are the largest end user because they perform the highest volume of ultrasound examinations across cardiology, radiology, obstetrics, oncology, and emergency care, and because they have the budgets, infrastructure, and clinical breadth to adopt premium AI-enabled systems and enterprise software. Hospitals anchor the installed base for high-end cardiovascular and general-imaging platforms from GE HealthCare, Philips, Siemens Healthineers, Canon Medical, and Samsung Medison, where embedded AI improves throughput, standardization, and diagnostic confidence under heavy workloads. Hospital adoption is reinforced by reimbursement for AI-enabled echocardiography, antimicrobial and quality programs, and the need to manage radiologist and sonographer shortages. At the same time, diagnostic imaging centers sustain large volumes, and ambulatory and point-of-care settings, specialty clinics, and research and academic institutes are growing quickly as portable, AI-guided ultrasound democratizes access beyond the hospital. While point-of-care settings are the fastest-expanding cohort, hospitals retain clear leadership in 2025 on the strength of volume, acuity, and infrastructure.

AI in Ultrasound Imaging Market Region Analysis

Dominant Region: North America

North America accounted for 44% of the global AI in Ultrasound Imaging market revenue in 2025, representing the highest regional market share globally. The region's dominance reflects the concentration of leading ultrasound and AI developers, advanced healthcare infrastructure, early adoption of point-of-care ultrasound, and the most active regulatory and reimbursement environment, particularly in the United States. The FDA has authorized over 1,000 AI and machine-learning-enabled medical devices, with radiology and imaging the largest category, and reimbursement for AI-enabled echocardiography is accelerating enterprise adoption. Market-size influence is amplified by high imaging volumes, a heavy cardiovascular and cancer burden, and strong private and public investment in health AI. Leading manufacturers and innovators, including GE HealthCare, Butterfly Network, and Exo Imaging, are headquartered or heavily active in the region, and a wave of 2025 product launches and clearances, from GE HealthCare's Vivid Pioneer to Philips Transcend Plus, has expanded the installed base. A deep developer base, supportive regulation, and strong reimbursement anchor the region's continued leadership.

Dominant: North America ~ 44% (Largest)

Fastest Growing Region: Asia-Pacific

Asia-Pacific is the fastest-growing region in the AI in Ultrasound Imaging market. The region's elevated CAGR is driven by a large and aging population, rising cardiovascular and cancer burden, expanding healthcare access, and rapid adoption of affordable AI-enabled and point-of-care ultrasound across China, India, Japan, South Korea, and Australia. Strong regional manufacturers, including Samsung Medison, Mindray, FUJIFILM, and Canon Medical, are scaling AI-enabled systems and exporting globally, while government healthcare investment and digital-health initiatives accelerate deployment. The high prevalence of underserved and rural populations makes AI-guided point-of-care ultrasound especially valuable for extending diagnostic access, and growing local innovation and manufacturing lowers costs. Rising demand across hospitals, imaging centers, and decentralized settings positions Asia-Pacific as the principal source of incremental growth over the forecast period.

Regional Commentary

North America

North America accounted for 44% of the global AI in Ultrasound Imaging market revenue in 2025. The United States dominates on the strength of its developer base, early point-of-care ultrasound adoption, FDA pathways that have cleared over 1,000 AI-enabled devices, and emerging reimbursement for AI-enabled echocardiography, while Canada contributes through hospital adoption and provincial imaging programs.

Europe

Europe is a large and advanced regional market, led by Germany, the United Kingdom, France, Italy, and Spain. Growth is supported by strong healthcare systems, established imaging infrastructure, and the European Union Artificial Intelligence Act, which classifies medical AI as high-risk and is shaping clearer requirements for clinical AI. A strong base of manufacturers, including Philips, Siemens Healthineers, and Canon Medical, reinforces the region's position.

Asia-Pacific

Asia-Pacific is the fastest-growing region, propelled by a large aging population, rising disease burden, expanding healthcare access, and rapid adoption of affordable AI-enabled and point-of-care ultrasound across China, India, Japan, South Korea, and Australia. Regional leaders such as Samsung Medison, Mindray, FUJIFILM, and Canon Medical scale innovation and broaden access in both urban and rural settings.

Rest of World

The Rest of World region, spanning Latin America, the Middle East, and Africa, is an emerging growth frontier. A high burden of cardiovascular disease, cancer, and maternal health needs, combined with limited specialist availability, makes AI-guided point-of-care ultrasound especially valuable, and international health programs, telemedicine, and partnerships are expanding access to AI-enabled imaging across these markets.

AI in Ultrasound Imaging Market Competitive Landscape

The AI in Ultrasound Imaging market is classified as Moderately Concentrated. A group of global ultrasound manufacturers leads through embedded AI on premium systems, with GE HealthCare, Philips, Siemens Healthineers, Canon Medical, Samsung Medison, and FUJIFILM holding the majority of platform revenue. A dynamic field of point-of-care and software innovators, including Butterfly Network, Exo Imaging, Clarius Mobile Health, and specialized algorithm developers, competes in handheld, semiconductor-based, and AI-software segments, increasing competition and fragmentation in the fastest-growing tiers.

The competitive landscape can be evaluated across the following dimensions:

Market concentration: Moderately concentrated, with established imaging OEMs leading premium systems alongside a fast-growing field of point-of-care and software challengers.
Leading players: GE HealthCare, Philips, Siemens Healthineers, Canon Medical, Samsung Medison, and FUJIFILM anchor the top tier.
Geographic reach: Leaders operate global commercial and service networks, with point-of-care innovators expanding rapidly across North America, Europe, and Asia-Pacific.
Product portfolio strength: Top players hold integrated portfolios spanning cart-based and handheld systems, embedded AI, and enterprise workflow software.
Pipeline strength: Active pipelines in automated cardiac quantification, AI image guidance, semiconductor-on-chip probes, and expanded clinical applications.
Strategic partnerships: Collaborations between AI developers, ultrasound OEMs, and computing providers, such as GE HealthCare's work with NVIDIA, extend capability.
M&A activity: Consolidation continues, including GE HealthCare's acquisitions of Caption Health and Intelligent Ultrasound and Philips' acquisition of DiA Imaging Analysis.
Manufacturing capabilities: Scale manufacturing of systems and semiconductor-based probes is a key competitive moat, particularly for handheld and on-chip platforms.
Innovation focus: AI image guidance, automated ejection-fraction and strain analysis, fetal biometry, ultrasound-on-chip, and cloud-enabled enterprise workflow.

AI in Ultrasound Imaging Market Recent Developmental Activities

In November 2025, Butterfly Network, Inc., launched Compass AI, an enterprise point-of-care ultrasound workflow platform that integrates AI-enabled image capture, documentation, and reporting across handheld devices. Strategic significance: Strengthens enterprise adoption of point-of-care ultrasound and deepens Butterfly's software and recurring-revenue position.

In August 2025, Koninklijke Philips N.V. launched Transcend Plus for its EPIQ CVx and Affiniti CVx cardiovascular ultrasound systems, featuring FDA-cleared 2D and 3D image-quality enhancements and a suite of AI-enabled clinical applications. Strategic significance: Reinforces premium AI integration in cardiovascular ultrasound and extends the life of the installed base.

AI in Ultrasound Imaging Market Segmentation

AI in Ultrasound Imaging Market by Component

Software
Hardware
Services

AI in Ultrasound Imaging Market by Technology

Machine Learning
Deep Learning
Computer Vision
Context-Aware Computing
Natural Language Processing
Others

AI in Ultrasound Imaging Market by Application

Radiology
Cardiology
Obstetrics and Gynecology
Oncology
Emergency and Point-of-Care
Others

AI in Ultrasound Imaging Market by End User

Hospitals
Diagnostic Imaging Centers
Ambulatory and Point-of-Care Settings
Specialty Clinics
Research and Academic Institutes
Others

AI in Ultrasound Imaging Market by Geography

North America AI in Ultrasound Imaging Market
United States AI in Ultrasound Imaging Market Size in USD million (2023-2034)
Canada AI in Ultrasound Imaging Market Size in USD million (2023-2034)
Mexico AI in Ultrasound Imaging Market Size in USD million (2023-2034)
Europe AI in Ultrasound Imaging Market
Germany AI in Ultrasound Imaging Market Size in USD million (2023-2034)
United Kingdom AI in Ultrasound Imaging Market Size in USD million (2023-2034)
France AI in Ultrasound Imaging Market Size in USD million (2023-2034)
Italy AI in Ultrasound Imaging Market Size in USD million (2023-2034)
Spain AI in Ultrasound Imaging Market Size in USD million (2023-2034)
Rest of Europe AI in Ultrasound Imaging Market Size in USD million (2023-2034)
Asia-Pacific AI in Ultrasound Imaging Market
China AI in Ultrasound Imaging Market Size in USD million (2023-2034)
Japan AI in Ultrasound Imaging Market Size in USD million (2023-2034)
India AI in Ultrasound Imaging Market Size in USD million (2023-2034)
Australia AI in Ultrasound Imaging Market Size in USD million (2023-2034)
South Korea AI in Ultrasound Imaging Market Size in USD million (2023-2034)
Rest of Asia-Pacific AI in Ultrasound Imaging Market Size in USD million (2023-2034)
Rest of the World (RoW) AI in Ultrasound Imaging Market
Middle East AI in Ultrasound Imaging Market Size in USD million (2023-2034)
Africa AI in Ultrasound Imaging Market Size in USD million (2023-2034)
South America AI in Ultrasound Imaging Market Size in USD million (2023-2034)

Key Takeaways from the AI in Ultrasound Imaging Market Report Study

Market size analysis for the current AI in ultrasound imaging market size (2025), and market forecast for 9 years (2026 to 2034).
Top key product/technology developments, mergers, acquisitions, partnerships, and joint ventures that happened over the last 3 years.
Key companies dominating the global AI in ultrasound imaging market.
Various opportunities available for competitors in the AI in ultrasound imaging market space.
What are the top-performing segments in 2025? How will these segments perform in 2034?
Which are the top-performing regions and countries in the current AI in ultrasound imaging market scenario?
Which are the regions and countries where companies should concentrate their opportunities for AI in ultrasound imaging market growth in the future?

Target audience who can benefit from this AI in ultrasound imaging market report study

AI in Ultrasound Imaging product providers
Research organizations and consulting companies
AI in Ultrasound Imaging-related organizations, associations, forums, and other alliances
Government and corporate offices
Start-up companies, venture capitalists, and private equity firms
Distributors and traders dealing in AI in ultrasound imaging
Various end-users who want to know more about the AI in ultrasound imaging market and the latest technological developments in the AI in ultrasound imaging market.

Frequently Asked Questions:

Q1. What is the growth rate of the AI in Ultrasound Imaging market?

The AI in Ultrasound Imaging market is projected to expand at a CAGR of 24.0% during the forecast period from 2026-2034.

Q2. What is the market size of the AI in Ultrasound Imaging market?

The AI in Ultrasound Imaging market is estimated at USD 2.00 billion in 2025 and is projected to reach USD 13.90 billion by 2034.

Q3. Which region dominates the AI in Ultrasound Imaging market?

North America dominated the AI in Ultrasound Imaging market with a 44% share of global revenue in 2025, supported by a dense base of ultrasound and AI developers, early point-of-care ultrasound adoption, FDA pathways that have cleared over 1,000 AI-enabled devices, and emerging reimbursement for AI-enabled echocardiography. Asia-Pacific is the fastest-growing region over the forecast period.

Q4. What are the key drivers of the AI in Ultrasound Imaging market?

The principal drivers are the rising global burden of cardiovascular disease and cancer, with the World Health Organization attributing 17.9 million deaths each year to cardiovascular disease and the International Agency for Research on Cancer projecting cancer cases to rise from 20 million in 2022 to 35 million by 2050; the democratization of point-of-care ultrasound through AI image guidance; accelerating FDA clearances, with over 1,000 AI-enabled devices authorized; and radiologist and sonographer shortages amid rising imaging workloads.

Q5. Who are the major players in the AI in Ultrasound Imaging market?

The major players include GE HealthCare Technologies Inc., Koninklijke Philips N.V., Siemens Healthineers AG, Canon Medical Systems Corporation, Samsung Medison Co., Ltd., FUJIFILM Holdings Corporation, Butterfly Network, Inc., Mindray Medical International Limited, Exo Imaging, Inc., and Clarius Mobile Health Corp., among other active manufacturers and developers profiled in the Competitive Landscape section. GE HealthCare and Philips lead in premium cardiovascular AI, while Butterfly Network and Exo Imaging lead in ultrasound-on-chip point-of-care platforms.

1. AI in Ultrasound Imaging Market Report Introduction

1.1 Scope of the Study
1.2 Market Segmentation
1.3 Market Assumptions

2. AI in Ultrasound Imaging Market Executive Summary

2.1 Market at a Glance

3. AI in Ultrasound Imaging Market Key Factors Analysis

3.1 AI in Ultrasound Imaging Market Drivers
- 3.1.1 Rising Burden of Cardiovascular Disease and Cancer
- 3.1.2 Democratization of Point-of-Care Ultrasound through AI
- 3.1.3 Accelerating Regulatory Clearances for AI-Enabled Devices
- 3.1.4 Radiologist and Sonographer Shortages
3.2 AI in Ultrasound Imaging Market Restraints and Challenges
- 3.2.1 Data Privacy, Security, and Clinician Trust
- 3.2.2 Regulatory and Clinical-Validation Complexity
- 3.2.3 Cost, Interoperability, and Reimbursement Barriers
3.3 AI in Ultrasound Imaging Market Opportunities
- 3.3.1 Ultrasound-on-Chip and Handheld Point-of-Care Expansion
- 3.3.2 Emerging-Market and Enterprise Workflow Expansion

4. Impact Analysis: AI, Geopolitical, Trade, and Economic Developments

5. Regulatory Analysis

5.1 United States
5.2 Europe
5.3 Japan
5.4 China

6. AI in Ultrasound Imaging Market Porter's Five Forces Analysis

6.1 Bargaining Power of Suppliers
6.2 Bargaining Power of Buyers
6.3 Threat of New Entrants
6.4 Threat of Substitutes
6.5 Competitive Rivalry

7. AI in Ultrasound Imaging Market Assessment

7.1 By Component
- 7.1.1 Software
- 7.1.2 Hardware
- 7.1.3 Services
7.2 By Technology
- 7.2.1 Machine Learning
- 7.2.2 Deep Learning
- 7.2.3 Computer Vision
- 7.2.4 Context-Aware Computing
- 7.2.5 Natural Language Processing
- 7.2.6 Others
7.3 By Application
- 7.3.1 Radiology
- 7.3.2 Cardiology
- 7.3.3 Obstetrics and Gynecology
- 7.3.4 Oncology
- 7.3.5 Emergency and Point-of-Care
- 7.3.6 Others
7.4 By End User
- 7.4.1 Hospitals
- 7.4.2 Diagnostic Imaging Centers
- 7.4.3 Ambulatory and Point-of-Care Settings
- 7.4.4 Specialty Clinics
- 7.4.5 Research and Academic Institutes
- 7.4.6 Others
7.5 By Geography
- 7.5.1 North America
  - 7.5.1.1 United States AI in Ultrasound Imaging Market Size in USD million (2023-2034)
  - 7.5.1.2 Canada AI in Ultrasound Imaging Market Size in USD million (2023-2034)
  - 7.5.1.3 Mexico AI in Ultrasound Imaging Market Size in USD million (2023-2034)
- 7.5.2 Europe
  - 7.5.2.1 Germany AI in Ultrasound Imaging Market Size in USD million (2023-2034)
  - 7.5.2.2 United Kingdom AI in Ultrasound Imaging Market Size in USD million (2023-2034)
  - 7.5.2.3 France AI in Ultrasound Imaging Market Size in USD million (2023-2034)
  - 7.5.2.4 Italy AI in Ultrasound Imaging Market Size in USD million (2023-2034)
  - 7.5.2.5 Spain AI in Ultrasound Imaging Market Size in USD million (2023-2034)
  - 7.5.2.6 Rest of Europe AI in Ultrasound Imaging Market Size in USD million (2023-2034)
- 7.5.3 Asia-Pacific
  - 7.5.3.1 China AI in Ultrasound Imaging Market Size in USD million (2023-2034)
  - 7.5.3.2 Japan AI in Ultrasound Imaging Market Size in USD million (2023-2034)
  - 7.5.3.3 India AI in Ultrasound Imaging Market Size in USD million (2023-2034)
  - 7.5.3.4 Australia AI in Ultrasound Imaging Market Size in USD million (2023-2034)
  - 7.5.3.5 South Korea AI in Ultrasound Imaging Market Size in USD million (2023-2034)
  - 7.5.3.6 Rest of Asia-Pacific AI in Ultrasound Imaging Market Size in USD million (2023-2034)
- 7.5.4 Rest of World
  - 7.5.4.1 Middle East AI in Ultrasound Imaging Market Size in USD million (2023-2034)
  - 7.5.4.2 Africa AI in Ultrasound Imaging Market Size in USD million (2023-2034)
  - 7.5.4.3 South America AI in Ultrasound Imaging Market Size in USD million (2023-2034)

8. AI in Ultrasound Imaging Market Competitive Landscape

8.1 Market Concentration and Structure
8.2 Competitive Positioning and Market Share Analysis (Premium Offering)

9. AI in Ultrasound Imaging Market Startup Funding and Investment Trends

10. AI in Ultrasound Imaging Market Company and Product Profiles

10.1 GE HealthCare Technologies Inc.
- 10.1.1 Company Overview
- 10.1.2 Company Snapshot
- 10.1.3 Financial Overview
- 10.1.4 Product Portfolio
- 10.1.5 Strategic Initiatives / Entropy
10.2 Koninklijke Philips N.V.
- 10.2.1 Company Overview
- 10.2.2 Company Snapshot
- 10.2.3 Financial Overview
- 10.2.4 Product Portfolio
- 10.2.5 Strategic Initiatives / Entropy
10.3 Siemens Healthineers AG
- 10.3.1 Company Overview
- 10.3.2 Company Snapshot
- 10.3.3 Financial Overview
- 10.3.4 Product Portfolio
- 10.3.5 Strategic Initiatives / Entropy
10.4 Canon Medical Systems Corporation
- 10.4.1 Company Overview
- 10.4.2 Company Snapshot
- 10.4.3 Financial Overview
- 10.4.4 Product Portfolio
- 10.4.5 Strategic Initiatives / Entropy
10.5 Samsung Medison Co., Ltd.
- 10.5.1 Company Overview
- 10.5.2 Company Snapshot
- 10.5.3 Financial Overview
- 10.5.4 Product Portfolio
- 10.5.5 Strategic Initiatives / Entropy
10.6 FUJIFILM Holdings Corporation
- 10.6.1 Company Overview
- 10.6.2 Company Snapshot
- 10.6.3 Financial Overview
- 10.6.4 Product Portfolio
- 10.6.5 Strategic Initiatives / Entropy
10.7 Butterfly Network, Inc.
- 10.7.1 Company Overview
- 10.7.2 Company Snapshot
- 10.7.3 Financial Overview
- 10.7.4 Product Portfolio
- 10.7.5 Strategic Initiatives / Entropy
10.8 Mindray Medical International Limited
- 10.8.1 Company Overview
- 10.8.2 Company Snapshot
- 10.8.3 Financial Overview
- 10.8.4 Product Portfolio
- 10.8.5 Strategic Initiatives / Entropy
10.9 Exo Imaging, Inc.
- 10.9.1 Company Overview
- 10.9.2 Company Snapshot
- 10.9.3 Financial Overview
- 10.9.4 Product Portfolio
- 10.9.5 Strategic Initiatives / Entropy
10.10 Clarius Mobile Health Corp.
- 10.10.1 Company Overview
- 10.10.2 Company Snapshot
- 10.10.3 Financial Overview
- 10.10.4 Product Portfolio
- 10.10.5 Strategic Initiatives / Entropy

For illustrative purposes, only the top 10 companies are listed in the Table of Contents. The report may include analysis and references to additional companies where relevant to the market assessment.