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市場調查報告書
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1446539

美國醫療影像人工智慧市場規模、佔有率和趨勢分析報告：2024-2030 年按技術、應用、模式、最終用途和細分市場進行的預測

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個工作天內

價格

美國醫學影像人工智慧市場的成長與趨勢：

根據 Grand View Research, Inc. 的最新報告，到 2030 年，美國醫學影像人工智慧市場預計將達到 29.3 億美元，預測期內複合年成長率為 33.2%。

對管理廣泛而複雜的資料集的需求不斷成長是美國醫學成像人工智慧市場成長的關鍵驅動力。例如，2023 年 9 月，Kinetica 宣布將大規模語言模型 (LLM) 整合到先進架構中。這允許使用者使用自然語言對結構化資料執行即時、專案資料分析，而無需外部 API 呼叫。資料保留在客戶的環境中，這使其與公共法學碩士不同。此公告基於 Kinetica 的分析資料庫，用於與 OpenAI 整合。

政府不斷採取的有利於將基於人工智慧的技術整合到醫療保健中的舉措預計將在預測期內推動美國醫療成像市場對人工智慧的需求。例如，2023 年 2 月，美國總務管理局 (GSA) 發起了應用人工智慧醫療保健挑戰賽，這是一項鼓勵聯邦機構提供多種解決方案以提高醫療保健品質的競賽。這項挑戰賽利用人工智慧技術來解決心理健康、成癮、公平、供應鏈安全和癌症檢測等問題，是與 Challenge.gov 和卓越中心合作參與創新和開放科學年的，我們正在推動。

美國醫療影像人工智慧市場報告亮點：

  • 從技術來看，深度學習領域佔據市場主導地位，2023年收益佔有率為58.6%。這是因為用於訓練目的的廣泛醫學影像資料集的可用性不斷增加，促進了複雜的深度學習模型的開發。同時，自然語言處理（NLP）領域預計在預測期內將以最快的複合年成長率成長。
  • 從應用來看，神經病學佔據市場主導地位，2023 年收益佔有率為 37.9%。這是由於人工智慧在神經病學領域的使用越來越多，因為它可以提供更好的患者照護，並實現更高的準確性和更高的效率。預計乳房篩檢領域在預測期內將以最快的複合年成長率成長。
  • 從模式來看， 電腦斷層掃描領域在2023年佔據市場主導地位，佔有率為35.​​2%。預計 X 光細分市場在預測期內將以最快的複合年成長率成長。
  • 根據最終用途，醫院細分市場預計將在 2023 年以 52.8% 的佔有率主導市場，並在預測期內以最快的複合年成長率成長。
  • 2023 年 9 月，微軟與醫療保健技術公司 Paige 合作開發了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。該措施旨在徹底改變癌症診斷並改善患者照護。透過利用該領域的進步，這項合作關係旨在改變癌症的診斷和治療方式，最終促進醫療保健技術的進步。

目錄

第1章調查方法和範圍

第 2 章執行摘要

第3章美國醫學影像人工智慧市場：變數、趨勢、範圍

  • 市場體系展望
    • 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
  • 美國醫學影像人工智慧市場分析工具
    • 產業分析-波特五力分析
    • PESTEL分析

第4章美國醫學影像人工智慧市場：技術評估與趨勢分析

  • 2023年及2030年技術市場佔有率
  • 美國醫療影像人工智慧市場、技術前景
  • 2018年至2030年市場規模、預測與趨勢分析

第5章美國醫學影像人工智慧市場：應用預估與趨勢分析

  • 2023年及2030年應用市場佔有率
  • 美國醫學影像AI市場及應用前景
  • 2018年至2030年市場規模、預測與趨勢分析

第6章美國醫學影像人工智慧市場：模態估計與趨勢分析

  • 2023年及2030年醫療器材市場佔有率
  • 美國醫療影像人工智慧市場、模式前景
  • 2018年至2030年市場規模、預測與趨勢分析

第7章美國醫學影像人工智慧市場：最終用途估計與趨勢分析

  • 2023 年及 2030 年最終用途市場佔有率
  • 美國醫療影像人工智慧市場、最終用途前景
  • 2018年至2030年市場規模、預測與趨勢分析

第8章 競爭形勢

  • 主要市場參與企業的最新趨勢和影響分析
  • 公司/競爭對手分類
  • 供應商形勢
  • 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 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)