查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1771654

美国医疗图像市场规模、份额、趋势分析报告：按技术、应用、模式、最终用途、细分市场预测，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个工作天内

价格

美国医疗图像市场人工智慧的成长和趋势：

根据Grand View Research, Inc.的最新报告，美国医疗图像影像人工智慧市场规模预计到2030年将达到29.3亿美元，2025年至2030年期间的复合年增长率为33.24%。

对大量复杂资料集的管理需求日益增长，是美国医学影像人工智慧市场成长的主要驱动力。例如，2023年9月，Kinetica宣布将大规模语言模型 (LLM) 整合到先进的架构中，使用户能够使用自然语言对结构化资料进行即时的专案资料分析，而无需呼叫外部API。这些资料保留在客户的环境中，这与公共LLM截然不同。此次发布基于Kinetica的分析资料库，旨在与OpenAI整合。

预计在预测期内，美国政府将越来越多地推出支持将人工智慧技术融入医疗保健领域的倡议，这将推动美国医疗图像领域对人工智慧的需求。例如，美国总务管理局 (GSA) 于 2023 年 2 月发起了“应用人工智慧医疗保健挑战赛”，旨在鼓励各联邦机构提出多样化的解决方案，以提高医疗保健品质。这项挑战赛旨在利用人工智慧技术解决心理健康、成瘾、公平、供应链安全和癌症检测等问题，并与 Challenge.gov 和卓越中心合作，促进开放科学年的创新和参与。

美国医疗图像市场报告重点

  • 从技术角度来看，预计深度学习领域将在2024年占据市场主导地位，收益占有率将达到58.29%。这得益于用于训练的海量医学影像资料集的日益普及，这推动了先进深度学习模型的发展。同时，自然语言处理 (NLP) 领域预计将在预测期内以最快的复合年增长率成长。
  • 从应用角度来看，神经内科领域在2024年占据市场主导地位，收益占有率达37.46%，这得益于人工智慧在神经内科领域的应用日益广泛，旨在提供更优质的患者照护，并实现更高的准确性和效率。预计在预测期内，乳房筛检领域将以最快的复合年增长率成长。
  • 根据模式， 电脑断层扫描领域占据主导地位，2024 年的份额为 34.86%。预计在预测期内，X 射线领域将以最快的复合年增长率成长。
  • 根据最终用途，医院领域预计将在2024年占据52.99%的市场份额，占据市场主导地位，并有望在预测期内以最快的复合年增长率成长。预计医院领域将实现成长，因为患者更倾向于在医院接受治疗，因为医院便捷且能够一站式提供各种医疗服务。
  • 2023年9月，微软与医疗科技公司佩奇强强联手，共同开发全球最广泛的基于影像的人工智慧 (AI) 模型，用于数位病理学和肿瘤学。该计划旨在彻底改变癌症诊断方式，改善患者照护。透过利用该领域的进步，此次伙伴关係旨在改变癌症的诊断和治疗方式，最终促进医疗技术的进步。

目录

第一章调查方法与范围

第二章执行摘要

第三章美国医疗图像市场人工智慧的变数、趋势和范围

  • 市场展望
    • 母市场展望
    • 相关/附随市场展望
  • 市场动态
    • 市场驱动因素分析
    • 市场限制因素分析
    • 市场机会分析
    • 市场问题分析
  • 美国医疗图像市场分析工具中的人工智慧
    • 产业分析-波特五力分析
    • PESTEL分析
  • 案例研究

第四章美国医疗图像市场人工智慧：技术评估与趋势分析

  • 2023 年及 2030 年技术市场占有率
  • 美国医疗图像人工智慧市场技术展望
  • 2018年至2030年市场规模、预测及趋势分析
    • 深度学习
    • 自然语言处理
    • 其他的

第五章美国医疗图像市场AI：应用评估与趋势分析

  • 2023 年和 2030 年应用市场占有率
  • 美国医疗图像市场人工智慧应用前景
  • 2018年至2030年市场规模、预测及趋势分析
    • 神经病学
    • 呼吸和肺部
    • 心臟病学
    • 乳癌筛检
    • 整形外科
    • 其他的

第六章美国医疗图像市场中的人工智慧：模态估计和趋势分析

  • 2023年及2030年模态市场占有率
  • 美国医疗图像市场人工智慧展望（按模式）
  • 2018年至2030年市场规模、预测及趋势分析
    • 电脑断层扫描
    • 磁振造影（MRI）
    • X射线
    • 超音波
    • 核子造影

第七章美国医疗图像市场人工智慧：最终用途预估与趋势分析

  • 2023年和2030年的最终用途市场占有率
  • 美国医疗图像市场人工智慧最终用途展望
  • 2018年至2030年市场规模、预测及趋势分析
    • 医院
    • 诊断影像中心
    • 其他的

第八章 竞争态势

  • 主要市场参与企业的近期趋势和影响分析
  • 公司/竞争对手分类
  • 供应商格局
    • 主要经销商和通路合作伙伴名单
    • Key customers
    • Key companies heat map analysis, 2023
  • 公司简介
    • 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)