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1566932

人工智慧醫療診斷應用市場：按應用程式、部署模型、最終用戶分類：2024-2033 年全球機會分析與產業預測

AI Medical Diagnosis App Market By Application , By Deployment Model By End User : Global Opportunity Analysis and Industry Forecast, 2024-2033
出版日期: | 出版商: Allied Market Research | 英文 216 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

AI醫療診斷應用市場

2023年人工智慧醫療診斷應用市場估值為9億美元，預計2024年至2033年複合年成長率為19.1%，到2033年達到52億美元。

人工智慧醫療診斷應用程式是利用人工智慧和機器學習演算法支援診斷醫療狀況並提供醫療建議的軟體。這些應用程式分析資料和患者病史以產生潛在的診斷並提供建議。診斷應用程式的主要功能包括為每位患者提供個人化的解決方案，並協助醫療機構為患者提供遠端監控。

隨著偏遠和服務欠缺地區對先進醫療保健的需求不斷增加，對人工智慧醫療診斷應用程式的需求也在顯著增加。此外，由於全球缺乏熟練的醫生和醫療保健提供者，應用程式透過提供線上諮詢減少等待時間，從而減輕負擔並推動市場成長。為了提高和促進遠端醫療的有效性，開發人員設計了非常方便用戶使用的應用程式，患者可以在其中記錄他們的疾病狀態和身體生命徵象。這些應用程式正在推動即時診斷的趨勢，並幫助醫療保健提供者立即採取行動。

然而，應用程式的準確性並不完全可靠，阻礙了人工智慧醫療診斷應用程式市場的成長。遵守道德和資料隱私標準也是一個複雜且耗時的過程，這是市場開拓的限制。各種監管機構（例如美國的《健康保險互通性和課責法案》和歐洲的《一般資料保護條例》）對病患資料的收集、儲存和使用制定了嚴格的準則。根據指南，對患者資料的存取僅限於授權負責人，並定期進行審核以監控和追蹤存取。

按部門審查

人工智慧醫療診斷應用市場分為應用程式、部署模型、最終用戶和區域。根據應用，市場分為放射學、病理學、循環系統、皮膚病學等。依部署模式分為雲端基礎和本地部署。依最終用戶分類，可分為醫院、診斷中心、診所等。從區域來看，分析包括北美、歐洲、亞太地區和拉丁美洲地區。

主要發現

在AI醫療診斷App市場中，從應用來看，放射診斷領域佔據主導地位。

從部署模式來看，雲端基礎的細分市場佔有很高的佔有率。

從最終用戶來看，醫院細分市場在人工智慧醫療診斷應用市場中佔有較高佔有率。

按地區分類，北美市場收益最高。

可以自訂此報告（需要額外的費用和時間表）

  • 監管指引
  • 根據客戶興趣新增其他公司簡介
  • 平均售價分析/價格分佈分析
  • 歷史市場資料
  • 贖回場景

目錄

第1章簡介

第 2 章執行摘要

第3章 市場狀況

  • 市場定義和範圍
  • 主要發現
    • 主要投資機會
    • 關鍵成功策略
  • 波特五力分析
  • 市場動態
    • 促進因素
    • 抑制因素
    • 機會

第4章 人工智慧醫療診斷應用市場：依應用分類

  • 市場概況
  • 放射學
  • 病理
  • 心臟病學
  • 皮膚科
  • 其他

第5章人工智慧醫療診斷應用市場：按部署模式

  • 市場概況
  • 雲端基礎
  • 本地

第6章 人工智慧醫療診斷應用市場：依最終用戶分類

  • 市場概況
  • 醫院
  • 診斷中心
  • 診所
  • 其他

第7章 人工智慧醫療診斷應用市場：按地區

  • 市場概況
  • 北美洲
    • 主要市場趨勢和機遇
    • 美國人工智慧醫療診斷應用市場
    • 加拿大的人工智慧醫療診斷應用市場
    • 墨西哥人工智慧醫療診斷應用市場
  • 歐洲
    • 主要市場趨勢和機遇
    • 法國AI醫療診斷應用市場
    • 德國人工智慧醫療診斷應用市場
    • 義大利人工智慧醫療診斷應用市場
    • 西班牙的人工智慧醫療診斷應用市場
    • 英國人工智慧醫療診斷應用市場
    • 其他歐洲國家人工智慧醫療診斷應用市場
  • 亞太地區
    • 主要市場趨勢和機遇
    • 中國人工智慧醫療診斷應用市場
    • 日本AI醫療診斷應用市場
    • 印度人工智慧醫療診斷應用市場
    • 韓國AI醫療診斷應用市場
    • 澳洲人工智慧醫療診斷應用市場
    • 其他亞太地區人工智慧醫療診斷應用市場
  • 拉丁美洲/中東/非洲
    • 主要市場趨勢和機遇
    • 巴西的人工智慧醫療診斷應用市場
    • 南非的人工智慧醫療診斷應用市場
    • 沙烏地阿拉伯的人工智慧醫療診斷應用市場
    • 其他拉丁美洲/中東/非洲人工智慧醫療診斷應用市場

第8章 競爭格局

  • 介紹
  • 關鍵成功策略
  • 10家主要企業產品圖譜
  • 競爭對手儀表板
  • 競爭熱圖
  • 主要企業定位（2023年）

第9章 公司簡介

  • Microsoft NVIDIA Corporation
  • Merative Intel Corporation
  • Siemens Healthineers
  • GE HealthCare
  • Digital Diagnostics Inc.
  • Advanced Micro Devices, Inc
  • InformAl
  • HeartFlow, Inc.
  • Enlitic, Inc.
  • Icometrix
  • Aidence
  • Butterfly Network, Inc.
簡介目錄
Product Code: A323964

AI Medical Diagnosis App Market

The AI medical diagnosis app market was valued at $0.9 billion in 2023 and is projected to reach $5.2 billion by 2033, growing at a CAGR of 19.1% from 2024 to 2033.

An AI medical diagnosis app is a software which assists in the diagnosis of medical conditions or provision of medical advice through the utilization of AI and machine learning algorithms. These apps analyze the data and patient history to generate potential diagnoses and offer recommendations. The key attributes of the diagnosis apps include offering personalized solutions for each patient and aid healthcare institutions in providing remote monitoring to their patients.

With increasing requirement for advanced healthcare in remote locations and underserved regions, the demand for AI medical diagnosis app is rising significantly. Furthermore, the shortage of proficient doctors and healthcare providers across the globe is driving the growth of the market as the app mitigates the load by reducing waiting times through the provision of online consultations. To enhance the efficacy and promote telemedicine, developers are designing highly user-friendly applications, in which patients are able to record their disease conditions or body vital. Such apps are fostering the trend of real-time diagnosis and helping the healthcare providers take instant actions.

However, the accuracy of the apps is not entirely reliable, thereby hampering the growth of the AI medical diagnosis app market. In addition, compliance with the ethical and data privacy standards is an intricate and time-consuming process, which restraints market development. Different regulatory bodies such as Health Insurance Portability and Accountability Act in the U.S. and General Data Protection Regulation in Europe have imposed stringent guidelines regarding the collection, storage, and usage of patient data. As per the guidelines, access to patient data is limited to authorized personnel, which is subject to periodic audits to monitor and track the access.

Segment Review

The AI medical diagnosis app market is segmented into application, deployment model, end user, and region. On the basis of application, the market is divided into radiology, pathology, cardiology, dermatology, and other. As per deployment model, it is bifurcated into cloud-based and on-premises. Depending on end user, it is classified into hospitals, diagnostic centers, clinics, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Key Findings

On the basis of application, the radiology segment dominates in the AI medical diagnosis app market.

As per deployment model, the cloud-based segment acquires a high share of the market.

Depending on end user, the hospitals segment is the highest shareholder of the AI medical diagnosis app market.

Region wise, North America is the highest revenue generator in the market.

Competition Analysis

The leading players operating in the global AI medical diagnosis app market include Microsoft NVIDIA Corporation, Merative Intel Corporation, Siemens Healthineers, GE HealthCare, Digital Diagnostics Inc., Advanced Micro Devices, Inc, InformAl, HeartFlow, Inc., Enlitic, Inc., icometrix, Aidence, and Butterfly Network, Inc. These major players have adopted various key development strategies such as business expansion, new product launches, and partnerships, to strengthen their foothold in the competitive market.

Additional benefits you will get with this purchase are:

  • Quarterly Update and* (only available with a corporate license, on listed price)
  • 5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
  • Free Upcoming Version on the Purchase of Five and Enterprise User License.
  • 16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting to 16 analyst hours to solve questions, and post-sale queries)
  • 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once)
  • Free data Pack on the Five and Enterprise User License. (Excel version of the report)
  • Free Updated report if the report is 6-12 months old or older.
  • 24-hour priority response*
  • Free Industry updates and white papers.

Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)

  • Regulatory Guidelines
  • Additional company profiles with specific to client's interest
  • Average Selling Price Analysis / Price Point Analysis
  • Historic market data
  • Reimbursement Scenario

Key Market Segments

By Application

  • Radiology
  • Pathology
  • Cardiology
  • Dermatology
  • Other

By Deployment Model

  • Cloud-based
  • On-premises

By End User

  • Hospitals
  • Diagnostic Centers
  • Clinics
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • France
    • Germany
    • Italy
    • Spain
    • UK
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • LAMEA
    • Brazil
    • South Africa
    • Saudi Arabia
    • Rest of LAMEA

Key Market Players:

    • Microsoft NVIDIA Corporation
    • Merative Intel Corporation
    • Siemens Healthineers
    • GE HealthCare
    • Digital Diagnostics Inc.
    • Advanced Micro Devices, Inc
    • InformAl
    • HeartFlow, Inc.
    • Enlitic, Inc.
    • icometrix
    • Aidence
    • Butterfly Network, Inc.

TABLE OF CONTENTS

CHAPTER 1: INTRODUCTION

  • 1.1. Report Description
  • 1.2. Key Market Segments
  • 1.3. Key Benefits
  • 1.4. Research Methodology
    • 1.4.1. Primary Research
    • 1.4.2. Secondary Research
    • 1.4.3. Analyst Tools and Models

CHAPTER 2: EXECUTIVE SUMMARY

  • 2.1. CXO Perspective

CHAPTER 3: MARKET LANDSCAPE

  • 3.1. Market Definition and Scope
  • 3.2. Key Findings
    • 3.2.1. Top Investment Pockets
    • 3.2.2. Top Winning Strategies
  • 3.3. Porter's Five Forces Analysis
    • 3.3.1. Bargaining Power of Suppliers
    • 3.3.2. Threat of New Entrants
    • 3.3.3. Threat of Substitutes
    • 3.3.4. Competitive Rivalry
    • 3.3.5. Bargaining Power among Buyers
  • 3.4. Market Dynamics
    • 3.4.1. Drivers
    • 3.4.2. Restraints
    • 3.4.3. Opportunities

CHAPTER 4: AI MEDICAL DIAGNOSIS APP MARKET, BY APPLICATION

  • 4.1. Market Overview
    • 4.1.1 Market Size and Forecast, By Application
  • 4.2. Radiology
    • 4.2.1. Key Market Trends, Growth Factors and Opportunities
    • 4.2.2. Market Size and Forecast, By Region
    • 4.2.3. Market Share Analysis, By Country
  • 4.3. Pathology
    • 4.3.1. Key Market Trends, Growth Factors and Opportunities
    • 4.3.2. Market Size and Forecast, By Region
    • 4.3.3. Market Share Analysis, By Country
  • 4.4. Cardiology
    • 4.4.1. Key Market Trends, Growth Factors and Opportunities
    • 4.4.2. Market Size and Forecast, By Region
    • 4.4.3. Market Share Analysis, By Country
  • 4.5. Dermatology
    • 4.5.1. Key Market Trends, Growth Factors and Opportunities
    • 4.5.2. Market Size and Forecast, By Region
    • 4.5.3. Market Share Analysis, By Country
  • 4.6. Other
    • 4.6.1. Key Market Trends, Growth Factors and Opportunities
    • 4.6.2. Market Size and Forecast, By Region
    • 4.6.3. Market Share Analysis, By Country

CHAPTER 5: AI MEDICAL DIAGNOSIS APP MARKET, BY DEPLOYMENT MODEL

  • 5.1. Market Overview
    • 5.1.1 Market Size and Forecast, By Deployment Model
  • 5.2. Cloud-based
    • 5.2.1. Key Market Trends, Growth Factors and Opportunities
    • 5.2.2. Market Size and Forecast, By Region
    • 5.2.3. Market Share Analysis, By Country
  • 5.3. On-premises
    • 5.3.1. Key Market Trends, Growth Factors and Opportunities
    • 5.3.2. Market Size and Forecast, By Region
    • 5.3.3. Market Share Analysis, By Country

CHAPTER 6: AI MEDICAL DIAGNOSIS APP MARKET, BY END USER

  • 6.1. Market Overview
    • 6.1.1 Market Size and Forecast, By End User
  • 6.2. Hospitals
    • 6.2.1. Key Market Trends, Growth Factors and Opportunities
    • 6.2.2. Market Size and Forecast, By Region
    • 6.2.3. Market Share Analysis, By Country
  • 6.3. Diagnostic Centers
    • 6.3.1. Key Market Trends, Growth Factors and Opportunities
    • 6.3.2. Market Size and Forecast, By Region
    • 6.3.3. Market Share Analysis, By Country
  • 6.4. Clinics
    • 6.4.1. Key Market Trends, Growth Factors and Opportunities
    • 6.4.2. Market Size and Forecast, By Region
    • 6.4.3. Market Share Analysis, By Country
  • 6.5. Others
    • 6.5.1. Key Market Trends, Growth Factors and Opportunities
    • 6.5.2. Market Size and Forecast, By Region
    • 6.5.3. Market Share Analysis, By Country

CHAPTER 7: AI MEDICAL DIAGNOSIS APP MARKET, BY REGION

  • 7.1. Market Overview
    • 7.1.1 Market Size and Forecast, By Region
  • 7.2. North America
    • 7.2.1. Key Market Trends and Opportunities
    • 7.2.2. Market Size and Forecast, By Application
    • 7.2.3. Market Size and Forecast, By Deployment Model
    • 7.2.4. Market Size and Forecast, By End User
    • 7.2.5. Market Size and Forecast, By Country
    • 7.2.6. U.S. AI Medical Diagnosis App Market
      • 7.2.6.1. Market Size and Forecast, By Application
      • 7.2.6.2. Market Size and Forecast, By Deployment Model
      • 7.2.6.3. Market Size and Forecast, By End User
    • 7.2.7. Canada AI Medical Diagnosis App Market
      • 7.2.7.1. Market Size and Forecast, By Application
      • 7.2.7.2. Market Size and Forecast, By Deployment Model
      • 7.2.7.3. Market Size and Forecast, By End User
    • 7.2.8. Mexico AI Medical Diagnosis App Market
      • 7.2.8.1. Market Size and Forecast, By Application
      • 7.2.8.2. Market Size and Forecast, By Deployment Model
      • 7.2.8.3. Market Size and Forecast, By End User
  • 7.3. Europe
    • 7.3.1. Key Market Trends and Opportunities
    • 7.3.2. Market Size and Forecast, By Application
    • 7.3.3. Market Size and Forecast, By Deployment Model
    • 7.3.4. Market Size and Forecast, By End User
    • 7.3.5. Market Size and Forecast, By Country
    • 7.3.6. France AI Medical Diagnosis App Market
      • 7.3.6.1. Market Size and Forecast, By Application
      • 7.3.6.2. Market Size and Forecast, By Deployment Model
      • 7.3.6.3. Market Size and Forecast, By End User
    • 7.3.7. Germany AI Medical Diagnosis App Market
      • 7.3.7.1. Market Size and Forecast, By Application
      • 7.3.7.2. Market Size and Forecast, By Deployment Model
      • 7.3.7.3. Market Size and Forecast, By End User
    • 7.3.8. Italy AI Medical Diagnosis App Market
      • 7.3.8.1. Market Size and Forecast, By Application
      • 7.3.8.2. Market Size and Forecast, By Deployment Model
      • 7.3.8.3. Market Size and Forecast, By End User
    • 7.3.9. Spain AI Medical Diagnosis App Market
      • 7.3.9.1. Market Size and Forecast, By Application
      • 7.3.9.2. Market Size and Forecast, By Deployment Model
      • 7.3.9.3. Market Size and Forecast, By End User
    • 7.3.10. UK AI Medical Diagnosis App Market
      • 7.3.10.1. Market Size and Forecast, By Application
      • 7.3.10.2. Market Size and Forecast, By Deployment Model
      • 7.3.10.3. Market Size and Forecast, By End User
    • 7.3.11. Rest of Europe AI Medical Diagnosis App Market
      • 7.3.11.1. Market Size and Forecast, By Application
      • 7.3.11.2. Market Size and Forecast, By Deployment Model
      • 7.3.11.3. Market Size and Forecast, By End User
  • 7.4. Asia-Pacific
    • 7.4.1. Key Market Trends and Opportunities
    • 7.4.2. Market Size and Forecast, By Application
    • 7.4.3. Market Size and Forecast, By Deployment Model
    • 7.4.4. Market Size and Forecast, By End User
    • 7.4.5. Market Size and Forecast, By Country
    • 7.4.6. China AI Medical Diagnosis App Market
      • 7.4.6.1. Market Size and Forecast, By Application
      • 7.4.6.2. Market Size and Forecast, By Deployment Model
      • 7.4.6.3. Market Size and Forecast, By End User
    • 7.4.7. Japan AI Medical Diagnosis App Market
      • 7.4.7.1. Market Size and Forecast, By Application
      • 7.4.7.2. Market Size and Forecast, By Deployment Model
      • 7.4.7.3. Market Size and Forecast, By End User
    • 7.4.8. India AI Medical Diagnosis App Market
      • 7.4.8.1. Market Size and Forecast, By Application
      • 7.4.8.2. Market Size and Forecast, By Deployment Model
      • 7.4.8.3. Market Size and Forecast, By End User
    • 7.4.9. South Korea AI Medical Diagnosis App Market
      • 7.4.9.1. Market Size and Forecast, By Application
      • 7.4.9.2. Market Size and Forecast, By Deployment Model
      • 7.4.9.3. Market Size and Forecast, By End User
    • 7.4.10. Australia AI Medical Diagnosis App Market
      • 7.4.10.1. Market Size and Forecast, By Application
      • 7.4.10.2. Market Size and Forecast, By Deployment Model
      • 7.4.10.3. Market Size and Forecast, By End User
    • 7.4.11. Rest of Asia-Pacific AI Medical Diagnosis App Market
      • 7.4.11.1. Market Size and Forecast, By Application
      • 7.4.11.2. Market Size and Forecast, By Deployment Model
      • 7.4.11.3. Market Size and Forecast, By End User
  • 7.5. LAMEA
    • 7.5.1. Key Market Trends and Opportunities
    • 7.5.2. Market Size and Forecast, By Application
    • 7.5.3. Market Size and Forecast, By Deployment Model
    • 7.5.4. Market Size and Forecast, By End User
    • 7.5.5. Market Size and Forecast, By Country
    • 7.5.6. Brazil AI Medical Diagnosis App Market
      • 7.5.6.1. Market Size and Forecast, By Application
      • 7.5.6.2. Market Size and Forecast, By Deployment Model
      • 7.5.6.3. Market Size and Forecast, By End User
    • 7.5.7. South Africa AI Medical Diagnosis App Market
      • 7.5.7.1. Market Size and Forecast, By Application
      • 7.5.7.2. Market Size and Forecast, By Deployment Model
      • 7.5.7.3. Market Size and Forecast, By End User
    • 7.5.8. Saudi Arabia AI Medical Diagnosis App Market
      • 7.5.8.1. Market Size and Forecast, By Application
      • 7.5.8.2. Market Size and Forecast, By Deployment Model
      • 7.5.8.3. Market Size and Forecast, By End User
    • 7.5.9. Rest of LAMEA AI Medical Diagnosis App Market
      • 7.5.9.1. Market Size and Forecast, By Application
      • 7.5.9.2. Market Size and Forecast, By Deployment Model
      • 7.5.9.3. Market Size and Forecast, By End User

CHAPTER 8: COMPETITIVE LANDSCAPE

  • 8.1. Introduction
  • 8.2. Top Winning Strategies
  • 8.3. Product Mapping of Top 10 Player
  • 8.4. Competitive Dashboard
  • 8.5. Competitive Heatmap
  • 8.6. Top Player Positioning, 2023

CHAPTER 9: COMPANY PROFILES

  • 9.1. Microsoft NVIDIA Corporation
    • 9.1.1. Company Overview
    • 9.1.2. Key Executives
    • 9.1.3. Company Snapshot
    • 9.1.4. Operating Business Segments
    • 9.1.5. Product Portfolio
    • 9.1.6. Business Performance
    • 9.1.7. Key Strategic Moves and Developments
  • 9.2. Merative Intel Corporation
    • 9.2.1. Company Overview
    • 9.2.2. Key Executives
    • 9.2.3. Company Snapshot
    • 9.2.4. Operating Business Segments
    • 9.2.5. Product Portfolio
    • 9.2.6. Business Performance
    • 9.2.7. Key Strategic Moves and Developments
  • 9.3. Siemens Healthineers
    • 9.3.1. Company Overview
    • 9.3.2. Key Executives
    • 9.3.3. Company Snapshot
    • 9.3.4. Operating Business Segments
    • 9.3.5. Product Portfolio
    • 9.3.6. Business Performance
    • 9.3.7. Key Strategic Moves and Developments
  • 9.4. GE HealthCare
    • 9.4.1. Company Overview
    • 9.4.2. Key Executives
    • 9.4.3. Company Snapshot
    • 9.4.4. Operating Business Segments
    • 9.4.5. Product Portfolio
    • 9.4.6. Business Performance
    • 9.4.7. Key Strategic Moves and Developments
  • 9.5. Digital Diagnostics Inc.
    • 9.5.1. Company Overview
    • 9.5.2. Key Executives
    • 9.5.3. Company Snapshot
    • 9.5.4. Operating Business Segments
    • 9.5.5. Product Portfolio
    • 9.5.6. Business Performance
    • 9.5.7. Key Strategic Moves and Developments
  • 9.6. Advanced Micro Devices, Inc
    • 9.6.1. Company Overview
    • 9.6.2. Key Executives
    • 9.6.3. Company Snapshot
    • 9.6.4. Operating Business Segments
    • 9.6.5. Product Portfolio
    • 9.6.6. Business Performance
    • 9.6.7. Key Strategic Moves and Developments
  • 9.7. InformAl
    • 9.7.1. Company Overview
    • 9.7.2. Key Executives
    • 9.7.3. Company Snapshot
    • 9.7.4. Operating Business Segments
    • 9.7.5. Product Portfolio
    • 9.7.6. Business Performance
    • 9.7.7. Key Strategic Moves and Developments
  • 9.8. HeartFlow, Inc.
    • 9.8.1. Company Overview
    • 9.8.2. Key Executives
    • 9.8.3. Company Snapshot
    • 9.8.4. Operating Business Segments
    • 9.8.5. Product Portfolio
    • 9.8.6. Business Performance
    • 9.8.7. Key Strategic Moves and Developments
  • 9.9. Enlitic, Inc.
    • 9.9.1. Company Overview
    • 9.9.2. Key Executives
    • 9.9.3. Company Snapshot
    • 9.9.4. Operating Business Segments
    • 9.9.5. Product Portfolio
    • 9.9.6. Business Performance
    • 9.9.7. Key Strategic Moves and Developments
  • 9.10. Icometrix
    • 9.10.1. Company Overview
    • 9.10.2. Key Executives
    • 9.10.3. Company Snapshot
    • 9.10.4. Operating Business Segments
    • 9.10.5. Product Portfolio
    • 9.10.6. Business Performance
    • 9.10.7. Key Strategic Moves and Developments
  • 9.11. Aidence
    • 9.11.1. Company Overview
    • 9.11.2. Key Executives
    • 9.11.3. Company Snapshot
    • 9.11.4. Operating Business Segments
    • 9.11.5. Product Portfolio
    • 9.11.6. Business Performance
    • 9.11.7. Key Strategic Moves and Developments
  • 9.12. Butterfly Network, Inc.
    • 9.12.1. Company Overview
    • 9.12.2. Key Executives
    • 9.12.3. Company Snapshot
    • 9.12.4. Operating Business Segments
    • 9.12.5. Product Portfolio
    • 9.12.6. Business Performance
    • 9.12.7. Key Strategic Moves and Developments