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市場調査レポート
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1718945

特殊PACSの米国市場の評価:コンポーネント別、デリバリーモデル別、タイプ別、エンドユーザー別、機会、予測(2018年~2032年)

United States Specialty PACS Market Assessment, By Component, By Delivery Model, By Type, By End-user, Opportunities and Forecast, 2018-2032F


出版日
ページ情報
英文 132 Pages
納期
3~5営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.08円
特殊PACSの米国市場の評価:コンポーネント別、デリバリーモデル別、タイプ別、エンドユーザー別、機会、予測(2018年~2032年)
出版日: 2025年05月05日
発行: Market Xcel - Markets and Data
ページ情報: 英文 132 Pages
納期: 3~5営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 図表
  • 目次
概要

米国の特殊PACSの市場規模は、2024年の11億1,000万米ドルから2032年に18億5,000万米ドルに達すると予測され、予測期間の2025年~2032年にCAGRで6.63%の成長が見込まれます。画像診断の複雑化により、米国の特殊PACS市場のニーズが高まっています。医療ITへの投資の増加と相互運用可能なAI強化システムへの需要が採用を加速しています。さらに、個別化医療や精密医療の役割の拡大が、より正確で専門分野に特化した画像処理プラットフォームへのニーズを生み出しています。

例えば、医療技術の著名なグローバル企業であるRoyal Philipsは、近年Amazon Web Services(AWS)上でのPhilips HealthSuite Imagingの開始を宣言しました。さらに、PhilipsとAWSは、医療におけるAIの進歩に焦点を当て、提携を強化しました。これは、Amazon Bedrockを通じてFoundation Modelsを活用し、臨床的意思決定支援、より正確な診断の促進、管理プロセスの合理化を目的としたクラウドベースの生成AIアプリケーションの作成を促進するものです。

当レポートでは、米国の特殊PACS市場について調査分析し、市場規模と予測、市場力学、主要企業の情勢などを提供しています。

目次

第1章 プロジェクトの範囲と定義

第2章 調査手法

第3章 米国の関税の影響

第4章 エグゼクティブサマリー

第5章 米国の特殊PACS市場の見通し(2018年~2032年)

  • 市場規模分析と予測
    • 金額
  • 市場シェアの分析と予測
    • コンポーネント別
      • ハードウェア
      • ソフトウェア
      • サービス
    • デリバリーモデル別
      • オンプレミスモデル
      • Web/クラウドベースモデル
    • タイプ別
      • 放射線科
      • 心臓
      • 病理学
      • 眼科
      • 整形外科
      • 内視鏡検査
      • その他
    • エンドユーザー別
      • 病院・専門クリニック
      • 外来手術センター(ASC)
      • 診断画像センター
      • その他
    • 地域別
      • 北東部
      • 中西部
      • 西部
      • 南部
    • 市場シェア分析:企業別(金額)(上位5社とその他 - 2024年)
  • 市場マップ分析(2024年)
    • コンポーネント別
    • デリバリーモデル別
    • タイプ別
    • エンドユーザー別
    • 地域別

第6章 需給分析

第7章 ポーターのファイブフォース分析

第8章 PESTLE分析

第9章 価格分析

第10章 市場力学

  • 市場促進要因
  • 市場の課題

第11章 市場動向と発展

第12章 規制情勢

第13章 ケーススタディ

第14章 競合情勢

  • マーケットリーダー上位5社の競合マトリクス
  • 上位5社のSWOT分析
  • 主要企業上位10社の情勢
    • IBM Corporation
    • Mckesson Corporation
    • Agfa US Corp.
    • Onex Corporation (Carestream Health, Inc.)
    • Novarad Corporation
    • Intelerad Medical Systems Incorporated
    • INFINITT Healthcare Co., Ltd.
    • Sectra Medical, Inc.
    • Topcon Corporation
    • Meddiff Technologies Private Limited

第15章 戦略的提言

第16章 調査会社について・免責事項

図表

List of Tables

  • Table 1. Competition Matrix of Top 5 Market Leaders
  • Table 2. Mergers & Acquisitions/ Joint Ventures (If Applicable)
  • Table 3. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

  • Figure 1. United States Specialty PACS Market, By Value, In USD Billion, 2018-2032F
  • Figure 2. United States Specialty PACS Market Share (%), By Component, 2018-2032F
  • Figure 3. United States Specialty PACS Market Share (%), By Delivery Model, 2018-2032F
  • Figure 4. United States Specialty PACS Market Share (%), By Type, 2018-2032F
  • Figure 5. United States Specialty PACS Market Share (%), By End-user, 2018-2032F
  • Figure 6. United States Specialty PACS Market Share (%), By Region, 2018-2032F
  • Figure 7. By Component Map-Market Size (USD Billion) & Growth Rate (%), 2024
  • Figure 8. By Delivery Model Map-Market Size (USD Billion) & Growth Rate (%), 2024
  • Figure 9. By Type Map-Market Size (USD Billion) & Growth Rate (%), 2024
  • Figure 10. By End-user Map-Market Size (USD Billion) & Growth Rate (%), 2024
  • Figure 11. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2024
目次
Product Code: MX13070

United States specialty picture archiving and communication system (PACS) market is projected to witness a CAGR of 6.63% during the forecast period 2025-2032, growing from USD 1.11 billion in 2024 to USD 1.85 billion in 2032. The increasing complexity of diagnostic imaging drives the United States specialty PACS market needs in specialized departments. Rising investments in healthcare IT and demand for interoperable, AI-enhanced systems are accelerating adoption. Additionally, the growing role of personalized and precision medicine is creating a need for more accurate and specialty-specific imaging platforms.

For instance, Royal Philips, a prominent global entity in health technology, has recently declared the launch of Philips HealthSuite Imaging on Amazon Web Services (AWS). Furthermore, Philips and AWS enhanced their collaboration, focusing on the advancement of artificial intelligence in healthcare. This will involve the utilization of Foundation Models through Amazon Bedrock to expedite the creation of cloud-based generative AI applications aimed at offering clinical decision support, facilitating more precise diagnoses, and streamlining administrative processes.

Growing Utilization of Specialty Imaging Across Clinical Practices

The demand for specialty PACS is surging in the United States due to increasing imaging volumes across non-radiology departments such as cardiology, pathology, ophthalmology, and orthopedics. This shift is being driven by the growing prevalence of chronic conditions and the clinical necessity for accurate, high-resolution imaging to support timely diagnoses. Healthcare providers are focusing on enhancing workflow efficiency and improving clinical outcomes, which fuels the integration of specialty PACS systems tailored to specific departmental needs. Additionally, reimbursement frameworks in the United States are aligning more favorably toward advanced imaging procedures, further incentivizing adoption. Hospitals and diagnostic centers are transitioning from conventional PACS to modular, specialty-focused systems to reduce turnaround time, improve collaboration among care teams, and enhance diagnostic precision. This trend is particularly noticeable in large hospital networks where data centralization and interoperability are crucial. As specialty care expands, the specialty PACS market is poised for long-term growth in the United States.

Technological Advancements Drive AI Integration in Specialty PACS

Technological developments in artificial intelligence (AI), machine learning, and cloud computing are transforming the United States specialty PACS landscape. Vendors are increasingly incorporating advanced algorithms that support image analysis, pattern recognition, and clinical decision-making, especially in pathology, radiology, and cardiology. These tools assist in early disease detection, automate measurements, and reduce the diagnostic burden on clinicians. The integration of AI also enhances interoperability with hospital information systems (HIS) and electronic health records (EHR), offering seamless data access across departments. The growing availability of web/cloud-based PACS platforms supports remote diagnostics, which gained momentum post-pandemic and continues to be a preferred model for teleradiology and off-site consultations. Real-time collaboration and faster turnaround times are made possible with these digital upgrades. Companies such as IBM Watson Health and Intelerad are introducing AI-enabled PACS tools to enhance efficiency in diagnostic workflows, reduce human error, and support value-based care models in the United States healthcare ecosystem. For instance, INFINITT is set to introduce its latest Ophthalmology PACS. This web-based image management solution features an advanced HTML5 viewer, offering seamless experience with no downloads required and a server-side rendered interface. It has been specifically designed to cater to the unique requirements of professionals in ophthalmology departments, including both doctors and photographers.

Precision Medicine Initiatives Encourage Specialty PACS Adoption

The rise of precision medicine in the United States is fueling the demand for high-quality, specialty-focused imaging solutions. Tailoring treatment based on individual patient profiles requires in-depth, multi-modality imaging data and seamless data integration-an area where specialty PACS excels. These systems provide clinicians with accurate, real-time access to patient-specific imaging records, supporting more targeted diagnostic and therapeutic decisions. In cardiology, for example, specialty PACS help analyze vascular structures and support interventions like stenting or bypass procedures. Similarly, in pathology, digital PACS platforms facilitate image-based assessments crucial for oncology diagnostics. The United States healthcare system's shift towards personalized care has led hospitals and specialty centers to invest in advanced PACS solutions that align with molecular diagnostics, genetic screening, and AI-powered analysis. By enabling precise imaging correlation with genetic and clinical data, specialty PACS is becoming a cornerstone technology in the precision medicine ecosystem-enhancing outcomes and enabling more proactive, individualized patient care strategies.

For instance, in December 2024, during the 2024 Annual Meeting of the Radiological Society of North America (RSNA), scheduled from December 1-4 in Chicago, GE HealthCare showcased over 40 innovations, featuring several significant artificial intelligence (AI)-driven technologies aimed at enhancing patient care and improving operational efficiencies. The products offered by GE HealthCare are crafted to boost efficiency and facilitate seamless integration of data, thereby supporting precision care across various treatment pathways. These advancements reflect the company's comprehensive AI and digital strategy, which emphasizes the incorporation of AI into medical devices, the development of AI applications that improve decision-making throughout the care continuum and across different disease states, and the utilization of AI to foster better health outcomes.

Future Market Scenario (2025-2032F)

The United States specialty PACS market is poised for significant growth in the coming years due to increasing digitization of medical imaging and rising demand for department-specific imaging solutions. As healthcare providers move toward integrated and value-based care, there is a growing need for high-performance systems tailored to specialties such as cardiology, pathology, orthopedics, and ophthalmology. The expansion of precision medicine, adoption of AI-integrated diagnostics, and cloud-based storage solutions are further fueling demand. Additionally, increased investment in healthcare IT infrastructure and the rising prevalence of chronic diseases are pushing hospitals and diagnostic centers to adopt specialized imaging platforms. The market is expected to witness strong adoption across both large healthcare systems and smaller specialty clinics.

Key Players Landscape and Outlook

The key players in the market are significantly investing in the development of specialty PACS and are utilizing strategies such as mergers, acquisitions, partnerships, and new product launches to improve their services and competitiveness. Such efforts will propel significant growth in the market, allowing large-cap industry players to increase their presence and, therefore, find new opportunities in this market.

In January 2025, Sutter Health and GE HealthCare announced a seven-year strategic partnership, referred to as a Care Alliance. This initiative is designed to enhance access to innovative imaging services and to foster a more integrated and coordinated experience for both clinicians and patients within the Sutter Health network. The collaboration aims to expand access to vital diagnostic care throughout California, equipping patients with advanced technology in their local communities. This will facilitate quicker appointment scheduling, faster diagnostic imaging results, earlier diagnoses, increased convenience, and more consistent and timely care. This Care Alliance represents one of the largest enterprise strategic partnerships ever established by GE HealthCare.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Impact of U.S. Tariffs

4. Executive Summary

5. United States Specialty PACS Market Outlook, 2018-2032F

  • 5.1. Market Size Analysis & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share Analysis & Forecast
    • 5.2.1. By Component
      • 5.2.1.1. Hardware
      • 5.2.1.2. Software
      • 5.2.1.3. Services
    • 5.2.2. By Delivery Model
      • 5.2.2.1. On-premises Model
      • 5.2.2.2. Web/Cloud-Based Model
    • 5.2.3. By Type
      • 5.2.3.1. Radiology
      • 5.2.3.2. Cardiology
      • 5.2.3.3. Pathology
      • 5.2.3.4. Ophthalmology
      • 5.2.3.5. Orthopedics
      • 5.2.3.6. Endoscopy
      • 5.2.3.7. Others
    • 5.2.4. By End-user
      • 5.2.4.1. Hospitals and Specialty Clinics
      • 5.2.4.2. Ambulatory Surgical Centers (ASCS)
      • 5.2.4.3. Diagnostic Imaging Centers
      • 5.2.4.4. Others
    • 5.2.5. By Region
      • 5.2.5.1. Northeast
      • 5.2.5.2. Midwest
      • 5.2.5.3. West
      • 5.2.5.4. South
    • 5.2.6. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
  • 5.3. Market Map Analysis, 2024
    • 5.3.1. By Component
    • 5.3.2. By Delivery Model
    • 5.3.3. By Type
    • 5.3.4. By End-user
    • 5.3.5. By Region

6. Demand Supply Analysis

7. Porter's Five Forces Analysis

8. PESTLE Analysis

9. Pricing Analysis

10. Market Dynamics

  • 10.1. Market Drivers
  • 10.2. Market Challenges

11. Market Trends and Developments

12. Regulatory Landscape

13. Case Studies

14. Competitive Landscape

  • 14.1. Competition Matrix of Top 5 Market Leaders
  • 14.2. SWOT Analysis for Top 5 Players
  • 14.3. Key Players Landscape for Top 10 Market Players
    • 14.3.1. IBM Corporation
      • 14.3.1.1. Company Details
      • 14.3.1.2. Key Management Personnel
      • 14.3.1.3. Products and Services
      • 14.3.1.4. Financials (As Reported)
      • 14.3.1.5. Key Market Focus and Geographical Presence
      • 14.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
    • 14.3.2. Mckesson Corporation
    • 14.3.3. Agfa US Corp.
    • 14.3.4. Onex Corporation (Carestream Health, Inc.)
    • 14.3.5. Novarad Corporation
    • 14.3.6. Intelerad Medical Systems Incorporated
    • 14.3.7. INFINITT Healthcare Co., Ltd.
    • 14.3.8. Sectra Medical, Inc.
    • 14.3.9. Topcon Corporation
    • 14.3.10. Meddiff Technologies Private Limited

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

15. Strategic Recommendations

16. About Us and Disclaimer