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市场调查报告书
商品编码
1446539

美国医疗影像人工智慧市场规模、份额和趋势分析报告：2024-2030 年按技术、应用、模式、最终用途和细分市场进行的预测

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, 2024 - 2030
出版日期: | 出版商: Grand View Research | 英文 90 Pages | 商品交期: 2-10个工作天内

价格

美国医学影像人工智慧市场的成长与趋势：

根据 Grand View Research, Inc. 的最新报告，到 2030 年，美国医学影像人工智慧市场预计将达到 29.3 亿美元，预测期内复合年增长率为 33.2%。

对管理广泛而复杂的资料集的需求不断增长是美国医学成像人工智慧市场成长的关键驱动力。例如，2023 年 9 月，Kinetica 宣布将大规模语言模型 (LLM) 整合到先进架构中。这允许使用者使用自然语言对结构化资料执行即时、专案资料分析，而无需外部 API 呼叫。资料保留在客户的环境中，这使其与公共法学硕士不同。此公告基于 Kinetica 的分析资料库，用于与 OpenAI 整合。

政府不断采取的有利于将基于人工智慧的技术整合到医疗保健中的倡议预计将在预测期内推动美国医疗成像市场对人工智慧的需求。例如，2023 年 2 月，美国总务管理局 (GSA) 发起了应用人工智慧医疗保健挑战赛，这是一项鼓励联邦机构提供多种解决方案以提高医疗保健品质的竞赛。这项挑战赛利用人工智慧技术来解决心理健康、成瘾、公平、供应链安全和癌症检测等问题，是与 Challenge.gov 和卓越中心合作参与创新和开放科学年的，我们正在推动。

美国医疗影像人工智慧市场报告亮点：

  • 从技术来看，深度学习领域占据市场主导地位，2023年收益占有率为58.6%。这是因为用于训练目的的广泛医学影像资料集的可用性不断增加，促进了复杂的深度学习模型的开发。同时，自然语言处理（NLP）领域预计在预测期内将以最快的复合年增长率成长。
  • 从应用来看，神经病学占据市场主导地位，2023 年收益占有率为 37.9%。这是由于人工智慧在神经病学领域的使用越来越多，因为它可以提供更好的患者照护，并实现更高的准确性和更高的效率。预计乳房筛检领域在预测期内将以最快的复合年增长率成长。
  • 从模式来看， 电脑断层扫描领域在2023年占据市场主导地位，份额为35.​​2%。预计 X 光细分市场在预测期内将以最快的复合年增长率成长。
  • 根据最终用途，医院细分市场预计将在 2023 年以 52.8% 的份额主导市场，并在预测期内以最快的复合年增长率增长。
  • 2023 年 9 月，微软与医疗保健技术公司 Paige 合作开发了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。该措施旨在彻底改变癌症诊断并改善患者照护。透过利用该领域的进步，这项合作关係旨在改变癌症的诊断和治疗方式，最终促进医疗保健技术的进步。

目录

第一章调查方法和范围

第 2 章执行摘要

第三章美国医学影像人工智慧市场：变数、趋势、范围

  • 市场体系展望
    • 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
  • 美国医学影像人工智慧市场分析工具
    • 产业分析-波特五力分析
    • PESTEL分析

第四章美国医学影像人工智慧市场：技术评估与趋势分析

  • 2023年及2030年技术市场占有率
  • 美国医疗影像人工智慧市场、技术前景
  • 2018年至2030年市场规模、预测与趋势分析

第五章美国医学影像人工智慧市场：应用预估与趋势分析

  • 2023年及2030年应用市场占有率
  • 美国医学影像AI市场及应用前景
  • 2018年至2030年市场规模、预测与趋势分析

第六章美国医学影像人工智慧市场：模态估计与趋势分析

  • 2023年及2030年医疗器材市场占有率
  • 美国医疗影像人工智慧市场、模式前景
  • 2018年至2030年市场规模、预测与趋势分析

第七章美国医学影像人工智慧市场：最终用途估计与趋势分析

  • 2023 年及 2030 年最终用途市场占有率
  • 美国医疗影像人工智慧市场、最终用途前景
  • 2018年至2030年市场规模、预测与趋势分析

第八章 竞争形势

  • 主要市场参与企业的最新趋势和影响分析
  • 公司/竞争对手分类
  • 供应商形势
  • 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 is anticipated to reach USD 2.93 billion by 2030 and is anticipated to expand at a CAGR of 33.2% during the forecast period, 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 58.6% in 2023 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 37.9% in 2023 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 35.2% share in 2023 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 52.8% share in 2023 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
  • 3.3. U.S. Artificial Intelligence in Medical Imaging Market Analysis Tools
    • 3.3.1. Industry Analysis - Porter's
      • 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 entrant
      • 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

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)