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米国の医用イメージング向けAIの市場規模、シェア、動向分析レポート:技術別、用途別、モダリティ別、最終用途別、セグメント別予測、2024年~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, 2024 - 2030

出版日: | 発行: Grand View Research | ページ情報: 英文 90 Pages | 納期: 2~10営業日

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米国の医用イメージング向けAIの市場規模、シェア、動向分析レポート:技術別、用途別、モダリティ別、最終用途別、セグメント別予測、2024年~2030年
出版日: 2024年02月21日
発行: Grand View Research
ページ情報: 英文 90 Pages
納期: 2~10営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

米国の医用イメージング向けAI市場の成長と動向:

Grand View Research, Inc.の最新レポートによると、米国の医用イメージング向けAI市場は2030年までに29億3,000万米ドルに達し、予測期間中にCAGR 33.2%で拡大すると予測されています。

広範で複雑なデータセットを管理する需要の増加が、米国の医用イメージング向けAI市場成長の主な要因です。例えば、2023年9月、キネティカは、高度なアーキテクチャに統合された大規模言語モデル(LLM)を発表しました。これにより、ユーザーは外部APIコールを必要とせずに、構造化されたデータ上で自然言語を使用したリアルタイムのアドホックデータ分析を行うことができます。データは顧客の環境内に留まり、パブリックなLLMとは一線を画します。今回の発表は、OpenAIと統合するためのKineticaの分析データベースを基盤としています。

ヘルスケアにおける人工知能ベースの技術の統合を支持する政府のイニシアチブの高まりは、予測期間中、米国の医用イメージング向けAI市場の需要を促進すると予測されています。例えば、2023年2月、米国一般調達庁(GSA)は、医療の質を高めるために連邦政府機関に多様なソリューションを奨励するコンペティション、Applied AI Healthcare Challengeを開始しました。このチャレンジは、AI技術を活用したメンタルヘルス、中毒、公平性、サプライチェーンの安全性、がん検知に取り組むもので、Challenge.govやエクセレンスセンターと連携して、イノベーションとオープンサイエンス年への参加を促進しています。

米国の医用イメージング向けAI市場レポートのハイライト:

  • 技術別では、ディープラーニング(深層学習)分野が2023年に58.6%の収益シェアで市場を独占しました。これは、トレーニング目的の広範な医療画像データセットの利用可能性が高まっているため、洗練されたディープラーニングモデルの開発が容易になったためです。一方、自然言語処理(NLP)セグメントは予測期間中に最も速いCAGRで成長すると予測されています。
  • 用途別では、神経学分野が2023年に37.9%の収益シェアで市場を独占しました。これは、より良い患者ケアを提供し、より高い精度と高い効率を可能にすることから、神経学分野でのAIの利用が増加しているためです。乳房スクリーニングセグメントは、予測期間中に最も速いCAGRで成長する見込みです。
  • モダリティ別では、CTスキャン分野が2023年に35.2%のシェアを占め、市場を独占しました。X線セグメントは予測期間中に最も速いCAGRで成長する見込みです。
  • 最終用途に基づくと、病院セグメントは2023年に52.8%のシェアで市場を独占し、予測期間中に最も速いCAGRで成長すると予測されています。
  • 2023年9月、マイクロソフトとヘルスケア・テクノロジー企業のPaigeは、デジタル病理学と腫瘍学のための最も広範な画像ベースの人工知能(AI)モデルを世界的に開発するために協力しました。この構想は、がん診断に革命をもたらし、患者ケアの向上を目指すものです。この分野の進歩を活用することで、このパートナーシップは、がんの診断と治療の方法に変革をもたらし、最終的にはヘルスケア技術の進歩に貢献することを目指しています。

目次

第1章 調査手法と範囲

第2章 エグゼクティブサマリー

第3章 米国の医用イメージング向けAI市場:変数、動向、範囲

  • 市場系統の見通し
    • 親市場の見通し
    • 関連/付随市場の見通し
  • 市場力学
    • 市場促進要因分析
    • 市場抑制要因分析
  • 米国の医用イメージング向けAI市場分析ツール
    • 業界分析- ポーターのファイブフォース分析
    • PESTEL分析

第4章 米国の医用イメージング向けAI市場:技術の推定・動向分析

  • 技術の市場シェア、2023年と2030年
  • 米国の医用イメージング向けAI市場、技術の展望
  • 市場規模、予測および動向分析、2018年から2030年まで

第5章 米国の医用イメージング向けAI市場:用途の推定・動向分析

  • 用途の市場シェア、2023年と2030年
  • 米国の医用イメージング向けAI市場、用途の展望
  • 市場規模、予測および動向分析、2018年から2030年まで

第6章 米国の医用イメージング向けAI市場:モダリティの推定・動向分析

  • モダリティの市場シェア、2023年と2030年
  • 米国の医用イメージング向けAI市場、モダリティの展望
  • 市場規模、予測および動向分析、2018年から2030年まで

第7章 米国の医用イメージング向けAI市場:最終用途の推定・動向分析

  • 最終用途の市場シェア、2023年および2030年
  • 米国の医用イメージング向けAI市場、最終用途の展望
  • 市場規模、予測および動向分析、2018年から2030年まで

第8章 競合情勢

  • 主要市場参入企業による最近の動向と影響分析
  • 会社/競合の分類
  • ベンダー情勢
  • 企業プロファイル
    • 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
図表

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)
目次
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