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市場調查報告書
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1771654

美國醫療圖像市場規模、佔有率、趨勢分析報告：按技術、應用、模式、最終用途、細分市場預測，2025-2030 年

U.S. AI In Medical Imaging Market Size, Share & Trends Analysis Report By Technology (Deep Learning), By Application (Neurology), By Modality (MRI), By End Use (Hospitals), And Segment Forecasts, 2025 - 2030
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10個工作天內

價格

美國醫療圖像市場人工智慧的成長和趨勢：

根據Grand View Research, Inc.的最新報告，美國醫療圖像影像人工智慧市場規模預計到2030年將達到29.3億美元，2025年至2030年期間的複合年成長率為33.24%。

對大量複雜資料集的管理需求日益成長，是美國醫學影像人工智慧市場成長的主要驅動力。例如，2023年9月，Kinetica宣布將大規模語言模型 (LLM) 整合到先進的架構中，使用戶能夠使用自然語言對結構化資料進行即時的專案資料分析，而無需呼叫外部API。這些資料保留在客戶的環境中，這與公共LLM截然不同。此次發布基於Kinetica的分析資料庫，旨在與OpenAI整合。

預計在預測期內，美國政府將擴大推出支持將人工智慧技術融入醫療保健領域的舉措，這將推動美國醫療圖像領域對人工智慧的需求。例如，美國總務管理局 (GSA) 於 2023 年 2 月發起了“應用人工智慧醫療保健挑戰賽”，旨在鼓勵各聯邦機構提出多樣化的解決方案，以提高醫療保健品質。這項挑戰賽旨在利用人工智慧技術解決心理健康、成癮、公平、供應鏈安全和癌症檢測等問題，並與 Challenge.gov 和卓越中心合作，促進開放科學年的創新和參與。

美國醫療圖像市場報告重點

  • 從技術角度來看，預計深度學習領域將在2024年佔據市場主導地位，收益佔有率將達到58.29%。這得益於用於訓練的海量醫學影像資料集的日益普及，這推動了先進深度學習模型的發展。同時，自然語言處理 (NLP) 領域預計將在預測期內以最快的複合年成長率成長。
  • 從應用角度來看，神經內科領域在2024年佔據市場主導地位，收益佔有率達37.46%，這得益於人工智慧在神經內科領域的應用日益廣泛，旨在提供更優質的患者照護，並實現更高的準確性和效率。預計在預測期內，乳房篩檢領域將以最快的複合年成長率成長。
  • 根據模式， 電腦斷層掃描領域佔據主導地位，2024 年的佔有率為 34.86%。預計在預測期內，X光領域將以最快的複合年成長率成長。
  • 根據最終用途，醫院領域預計將在2024年佔據52.99%的市場佔有率，佔據市場主導地位，並有望在預測期內以最快的複合年成長率成長。預計醫院領域將實現成長，因為患者更傾向於在醫院接受治療，因為醫院便捷且能夠一站式提供各種醫療服務。
  • 2023年9月，微軟與醫療科技公司佩奇強強聯手，共同開發全球最廣泛的基於影像的人工智慧 (AI) 模型，用於數位病理學和腫瘤學。該計劃旨在徹底改變癌症診斷方式，改善患者照護。透過利用該領域的進步，此次夥伴關係旨在改變癌症的診斷和治療方式，最終促進醫療技術的進步。

目錄

第1章調查方法與範圍

第2章執行摘要

第3章美國醫療圖像市場人工智慧的變數、趨勢和範圍

  • 市場展望
    • 母市場展望
    • 相關/附隨市場展望
  • 市場動態
    • 市場促進因素分析
    • 市場限制因素分析
    • 市場機會分析
    • 市場問題分析
  • 美國醫療圖像市場分析工具中的人工智慧
    • 產業分析-波特五力分析
    • PESTEL分析
  • 案例研究

第4章美國醫療圖像市場人工智慧：技術評估與趨勢分析

  • 2023 年及 2030 年技術市場佔有率
  • 美國醫療圖像人工智慧市場技術展望
  • 2018年至2030年市場規模、預測及趨勢分析
    • 深度學習
    • 自然語言處理
    • 其他

第5章美國醫療圖像市場AI：應用評估與趨勢分析

  • 2023 年和 2030 年應用市場佔有率
  • 美國醫療圖像市場人工智慧應用前景
  • 2018年至2030年市場規模、預測及趨勢分析
    • 神經病學
    • 呼吸和肺部
    • 心臟病學
    • 乳癌篩檢
    • 整形外科
    • 其他

第6章美國醫療圖像市場中的人工智慧：模態估計和趨勢分析

  • 2023年及2030年模態市場佔有率
  • 美國醫療圖像市場人工智慧展望（按模式）
  • 2018年至2030年市場規模、預測及趨勢分析
    • 電腦斷層掃描
    • 磁振造影（MRI）
    • X光
    • 超音波
    • 核子造影

第7章美國醫療圖像市場人工智慧：最終用途預估與趨勢分析

  • 2023年和2030年的最終用途市場佔有率
  • 美國醫療圖像市場人工智慧最終用途展望
  • 2018年至2030年市場規模、預測及趨勢分析
    • 醫院
    • 診斷影像中心
    • 其他

第8章 競爭態勢

  • 主要市場參與企業的近期趨勢和影響分析
  • 公司/競爭對手分類
  • 供應商格局
    • 主要經銷商和通路合作夥伴名單
    • Key customers
    • Key companies heat map analysis, 2023
  • 公司簡介
    • GE HealthCare
    • Microsoft
    • Digital Diagnostics Inc.
    • TEMPUS
    • Butterfly Network, Inc.
    • Advanced Micro Devices, Inc.
    • HeartFlow, Inc.
    • Enlitic, Inc.
    • Canon Medical Systems USA, Inc.
    • Viz.ai, Inc.
    • EchoNous, Inc.
    • HeartVista Inc.
    • Exo Imaging, Inc
    • NANO-X IMAGING LTD
Product Code: GVR-4-68040-199-8

U.S. AI In Medical Imaging Market Growth & Trends:

The U.S. AI in medical imaging market size is anticipated to reach USD 2.93 billion by 2030 and is anticipated to expand at a CAGR of 33.24% from 2025 to 2030, according to a new report by Grand View Research, Inc. The increasing demand for managing extensive and complex datasets are the major factors contributing to the U.S. artificial intelligence (AI) in medical imaging market growth. For instance, in September 2023, Kinetica announced a Large Language Model (LLM) integrated with its advanced architecture. It enables users to conduct real-time, ad-hoc data analysis using natural language on structured data without needing external API calls. Data remains within the customer's environment, differentiating it from public LLMs. This announcement builds on Kinetica's analytic database to integrate with OpenAI.

The rising government initiatives endorsing the integration of artificial intelligence-based technologies in healthcare, is projected to drive the demand for AI in medical imaging market in the U.S. during the forecast period. For instance, in February 2023, the U.S. General Services Administration (GSA) initiated the Applied AI Healthcare Challenge, a competition encouraging diverse solutions for federal agencies to enhance medical care quality. This challenge addresses mental health, addiction, equity, supply chain safety, and cancer detection through AI technologies, fostering innovation and participation in the Year of Open Science in collaboration with Challenge.gov and the Centers of Excellence.

U.S. AI In Medical Imaging Market Report Highlights:

  • Based on technology, the deep learning segment dominated the market in terms of revenue share of 58.29% in 2024 owing to the growing availability of extensive medical imaging datasets for training purposes facilitates the development of sophisticated deep learning models. On the other hand, the natural language processing (NLP) segment is expected to grow at the fastest CAGR over the forecast period
  • Based on application, the neurology segment dominated the market in terms of revenue share of 37.46% in 2024 owing to the increased use of AI in neurology, as it provides better patient care and enables higher accuracy and high efficiency. The breast screening segment is expected to grow at the fastest CAGR over the forecast period
  • Based on modalities, the CT scan segment dominated the market with 34.86% share in 2024 due to the higher standard imaging method for many clinical results. The X-Ray segment is expected to grow at the fastest CAGR over the forecast period
  • Based on end use, the hospitals segment dominated the market with 52.99% share in 2024 and is expected to grow at the fastest CAGR over the forecast period, the growth is anticipated as patients prefer hospitals for the treatment process in terms of convenience and various product offerings in one place.
  • In September 2023, Microsoft and healthcare technology company Paige collaborated to develop the most extensive image-based artificial intelligence (AI) models for digital pathology and oncology globally. This initiative seeks to revolutionize cancer diagnosis and enhance patient care. Leveraging advancements in the field, the partnership aspires to create a transformative impact on how cancer is diagnosed and treated, ultimately contributing to advancements in healthcare technology

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Segment Definitions
    • 1.2.1. Technology
    • 1.2.2. Application
    • 1.2.3. Modalities
    • 1.2.4. End Use
  • 1.3. Research Methodology
  • 1.4. Information Procurement
    • 1.4.1. Purchased database
    • 1.4.2. GVR's internal database
    • 1.4.3. Secondary sources
    • 1.4.4. Primary research
  • 1.5. Information or Data Analysis
    • 1.5.1. Data analysis models
  • 1.6. Market Formulation & Validation
  • 1.7. Model Details
    • 1.7.1. Commodity flow analysis (Model 1)
    • 1.7.2. Volume price analysis (Model 2)
  • 1.8. List of Secondary Sources
  • 1.9. List of Primary Sources
  • 1.10. Objectives

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
    • 2.2.1. Technology outlook
    • 2.2.2. Application outlook
    • 2.2.3. Modalities outlook
    • 2.2.4. End Use outlook
  • 2.3. Competitive Insights

Chapter 3. U.S. Artificial Intelligence in Medical Imaging Market Variables, Trends & Scope

  • 3.1. Market Lineage Outlook
    • 3.1.1. Parent market outlook
    • 3.1.2. Related/ancillary market outlook
  • 3.2. Market Dynamics
    • 3.2.1. Market driver analysis
    • 3.2.2. Market restraint analysis
    • 3.2.1. Market opportunity analysis
    • 3.2.2. Market challenges analysis
  • 3.3. U.S. Artificial Intelligence in Medical Imaging Market Analysis Tools
    • 3.3.1. Industry Analysis - Porter's Five Forces Analysis
      • 3.3.1.1. Supplier power
      • 3.3.1.2. Buyer power
      • 3.3.1.3. Substitution threat
      • 3.3.1.4. Threat of new entrants
      • 3.3.1.5. Competitive rivalry
    • 3.3.2. PESTEL Analysis
      • 3.3.2.1. Political landscape
      • 3.3.2.2. Economic landscape
      • 3.3.2.3. Social Landscape
      • 3.3.2.4. Technological landscape
      • 3.3.2.5. Environmental landscape
      • 3.3.2.6. Legal Landscape
  • 3.3. Case studies

Chapter 4. U.S. Artificial Intelligence in Medical Imaging Market: Technology Estimates & Trend Analysis

  • 4.1. Technology Market Share, 2023 & 2030
  • 4.2. U.S. Artificial Intelligence in Medical Imaging Market by Technology Outlook
  • 4.3. Market Size & Forecasts and Trend Analyses, 2018 to 2030 for the following
    • 4.3.1. Deep learning
      • 4.3.1.1. Market estimates and forecasts 2018 to 2030 (USD Million)
    • 4.3.2. Natural language processing
      • 4.3.2.1. Market estimates and forecasts 2018 to 2030 (USD Million)
    • 4.3.3. Others
      • 4.3.3.1. Market estimates and forecasts 2018 to 2030 (USD Million)

Chapter 5. U.S. Artificial Intelligence in Medical Imaging Market: Application Estimates & Trend Analysis

  • 5.1. Treatment Market Share, 2023 & 2030
  • 5.2. U.S. Artificial Intelligence in Medical Imaging Market by Application Outlook
  • 5.3. Market Size & Forecasts and Trend Analyses, 2018 to 2030 for the following
    • 5.3.1. Neurology
      • 5.3.1.1. Market estimates and forecasts 2018 to 2030 (USD Million)
    • 5.3.2. Respiratory and pulmonary
      • 5.3.2.1. Market estimates and forecasts 2018 to 2030 (USD Million)
    • 5.3.3. Cardiology
      • 5.3.3.1. Market estimates and forecasts 2018 to 2030 (USD Million)
    • 5.3.4. Breast screening
      • 5.3.4.1. Market estimates and forecasts 2018 to 2030 (USD Million)
    • 5.3.5. Orthopedics
      • 5.3.5.1. Market estimates and forecasts 2018 to 2030 (USD Million)
    • 5.3.6. Others
      • 5.3.6.1. Market estimates and forecasts 2018 to 2030 (USD Million)

Chapter 6. U.S. Artificial Intelligence in Medical Imaging Market: Modalities Estimates & Trend Analysis

  • 6.1. Application Market Share, 2023 & 2030
  • 6.2. U.S. Artificial Intelligence in Medical Imaging Market by Modalities Outlook
  • 6.3. Market Size & Forecasts and Trend Analyses, 2018 to 2030 for the following
    • 6.3.1. CT scan
      • 6.3.1.1. Market estimates and forecasts 2018 to 2030 (USD Million)
    • 6.3.2. Magnetic resonance imaging (MRI)
      • 6.3.2.1. Market estimates and forecasts 2018 to 2030 (USD Million)
    • 6.3.3. X-Rays
      • 6.3.3.1. Market estimates and forecasts 2018 to 2030 (USD Million)
    • 6.3.4. Ultrasound
      • 6.3.4.1. Market estimates and forecasts 2018 to 2030 (USD Million)
    • 6.3.5. Nuclear imaging
      • 6.3.5.1. Market estimates and forecasts 2018 to 2030 (USD Million)

Chapter 7. U.S. Artificial Intelligence in Medical Imaging Market: End Use Estimates & Trend Analysis

  • 7.1. End-Use Market Share, 2023 & 2030
  • 7.2. U.S. Artificial Intelligence in Medical Imaging Market by End-Use Outlook
  • 7.3. Market Size & Forecasts and Trend Analyses, 2018 to 2030 for the following
    • 7.3.1. Hospitals
      • 7.3.1.1. Market estimates and forecasts 2018 to 2030 (USD Million)
    • 7.3.2. Diagnostic Imaging Centers
      • 7.3.2.1. Market estimates and forecasts 2018 to 2030 (USD Million)
    • 7.3.3. Others
      • 7.3.3.1. Market estimates and forecasts 2018 to 2030 (USD Million)

Chapter 8. Competitive Landscape

  • 8.1. Recent Developments & Impact Analysis, By Key Market Participants
  • 8.2. Company/Competition Categorization
  • 8.3. Vendor Landscape
    • 8.3.1. List of key distributors and channel partners
    • 8.3.2. Key customers
    • 8.3.3. Key companies heat map analysis, 2023
  • 8.4. Company Profiles
    • 8.4.1. GE HealthCare
      • 8.4.1.1. Company overview
      • 8.4.1.2. Financial performance
      • 8.4.1.3. Product benchmarking
      • 8.4.1.4. Strategic initiatives
    • 8.4.2. Microsoft
      • 8.4.2.1. Company overview
      • 8.4.2.2. Financial performance
      • 8.4.2.3. Product benchmarking
      • 8.4.2.4. Strategic initiatives
    • 8.4.3. Digital Diagnostics Inc.
      • 8.4.3.1. Company overview
      • 8.4.3.2. Financial performance
      • 8.4.3.3. Product benchmarking
      • 8.4.3.4. Strategic initiatives
    • 8.4.4. TEMPUS
      • 8.4.4.1. Company overview
      • 8.4.4.2. Financial performance
      • 8.4.4.3. Product benchmarking
      • 8.4.4.4. Strategic initiatives
    • 8.4.5. Butterfly Network, Inc.
      • 8.4.5.1. Company overview
      • 8.4.5.2. Financial performance
      • 8.4.5.3. Product benchmarking
      • 8.4.5.4. Strategic initiatives
    • 8.4.6. Advanced Micro Devices, Inc.
      • 8.4.6.1. Company overview
      • 8.4.6.2. Financial performance
      • 8.4.6.3. Product benchmarking
      • 8.4.6.4. Strategic initiatives
    • 8.4.7. HeartFlow, Inc.
      • 8.4.7.1. Company overview
      • 8.4.7.2. Financial performance
      • 8.4.7.3. Product benchmarking
      • 8.4.7.4. Strategic initiatives
    • 8.4.8. Enlitic, Inc.
      • 8.4.8.1. Company overview
      • 8.4.8.2. Financial performance
      • 8.4.8.3. Product benchmarking
      • 8.4.8.4. Strategic initiatives
    • 8.4.9. Canon Medical Systems USA, Inc.
      • 8.4.9.1. Company overview
      • 8.4.9.2. Financial performance
      • 8.4.9.3. Product benchmarking
      • 8.4.9.4. Strategic initiatives
    • 8.4.10. Viz.ai, Inc.
      • 8.4.10.1. Company overview
      • 8.4.10.2. Financial performance
      • 8.4.10.3. Product benchmarking
      • 8.4.10.4. Strategic initiatives
    • 8.4.11. EchoNous, Inc.
      • 8.4.11.1. Company overview
      • 8.4.11.2. Financial performance
      • 8.4.11.3. Product benchmarking
      • 8.4.11.4. Strategic initiatives
    • 8.4.12. HeartVista Inc.
      • 8.4.12.1. Company overview
      • 8.4.12.2. Financial performance
      • 8.4.12.3. Product benchmarking
      • 8.4.12.4. Strategic initiatives
    • 8.4.13. Exo Imaging, Inc
      • 8.4.13.1. Company overview
      • 8.4.13.2. Financial performance
      • 8.4.13.3. Product benchmarking
      • 8.4.13.4. Strategic initiatives
    • 8.4.14. NANO-X IMAGING LTD
      • 8.4.14.1. Company overview
      • 8.4.14.2. Financial performance
      • 8.4.14.3. Product benchmarking
      • 8.4.14.4. Strategic initiatives

List of Tables

  • Table 1 List of abbreviations
  • Table 2 U.S. artificial intelligence in medical imaging market, by technology, 2018 - 2030 (USD Million)
  • Table 3 U.S. artificial intelligence in medical imaging market, by application, 2018 - 2030 (USD Million)
  • Table 4 U.S. artificial intelligence in medical imaging market, by modalities, 2018 - 2030 (USD Million)
  • Table 5 U.S. artificial intelligence in medical imaging market, by end-use, 2018 - 2030 (USD Million)

List of Figures

  • Fig. 1 Market research process
  • Fig. 2 Data triangulation techniques
  • Fig. 3 Primary research pattern
  • Fig. 4 Market research approaches
  • Fig. 5 Value-chain-based sizing & forecasting
  • Fig. 6 QFD modeling for market share assessment
  • Fig. 7 Market formulation & validation
  • Fig. 8 U.S. artificial intelligence in medical imaging market: market outlook
  • Fig. 9 U.S. artificial intelligence in medical imaging competitive insights
  • Fig. 10 Parent market outlook
  • Fig. 11 Related/ancillary market outlook
  • Fig. 12 Penetration and growth prospect mapping
  • Fig. 13 U.S. artificial intelligence in medical imaging market driver impact
  • Fig. 14 U.S. artificial intelligence in medical imaging market restraint impact
  • Fig. 15 U.S. artificial intelligence in medical imaging market strategic initiatives analysis
  • Fig. 16 U.S. artificial intelligence in medical imaging market: Technology movement analysis
  • Fig. 17 U.S. artificial intelligence in medical imaging market: Technology outlook and key takeaways
  • Fig. 18 Deep learning market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 19 Natural language processing estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 20 Others market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 21 U.S. artificial intelligence in medical imaging Market: Application movement Analysis
  • Fig. 22 U.S. artificial intelligence in medical imaging market: Application outlook and key takeaways
  • Fig. 23 Neurology market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 24 Respiratory and pulmonary market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 25 Cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 26 Breast screening market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 27 Orthopedics market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 28 Others market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 29 U.S. artificial intelligence in medical imaging market: Modalities movement analysis
  • Fig. 30 U.S. artificial intelligence in medical imaging market: Modalities outlook and key takeaways
  • Fig. 31 CT scan market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 32 Magnetic resonance imaging (MRI) market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 33 X-Rays market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 34 Ultrasound market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 35 Nuclear imaging market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 36 Other market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 37 U.S. artificial intelligence in medical imaging market: End Use movement analysis
  • Fig. 38 U.S. artificial intelligence in medical imaging market: End Use outlook and key takeaways
  • Fig. 39 Hospitals market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 40 Diagnostic imaging centers market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 41 Others market estimates and forecasts, 2018 - 2030 (USD Million)