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人工智慧影像診斷工具市場－全球及區域分析：診斷模式、應用、區域、分析及預測（2026-2036年）
市場調查報告書
商品編碼
2060412

人工智慧影像診斷工具市場－全球及區域分析：診斷模式、應用、區域、分析及預測（2026-2036年）

AI-Enabled Imaging Modalities Market - A Global and Regional Analysis: Focus on Modality, Application, and Regional Analysis - Analysis and Forecast Year, 2026-2036
出版日期: | 出版商: BIS Research | 英文 120 Pages | 商品交期: 1-5個工作天內

價格

全球人工智慧影像診斷工具市場在2025年的初始估值為 34.162億美元，但預計到2036年將達到 178.476億美元，2026年至2036年的年複合成長率為 16.24%，實現了顯著成長。

關鍵市場統計資料
預測期 2026-2036
2026年市場規模 39.633億美元
2036年預測 178.476億美元
年複合成長率 16.24%

全球人工智慧影像診斷工具市場正經歷顯著成長，這主要得益於醫療保健系統對精準、快速且高效的診斷成像需求的不斷成長。影像檢查數量的激增催生了對先進成像設備的強勁需求，這些設備能夠增強診斷信心、縮短報告時間並提升患者處理能力。包括X光、磁振造影（MRI）、電腦斷層掃描（CT）、超音波和其他影像設備在內的人工智慧影像技術，正被擴大用於支援影像擷取、重建、增強、檢測、量化、分流、報告和臨床決策。這些系統透過提高影像品質、自動化重複性工作流程以及在臨床應用中實現更一致的影像解讀，幫助放射科醫生和臨床醫生應對日益成長的診斷工作量。人工智慧驅動的重建、影像增強、自動偵測和工作流程整合成像平台的關鍵進展，加速開發更有效率、擴充性的診斷成像解決方案。

技術進步重塑人工智慧成像領域，深度學習重建、人工智慧輔助影像分析、自動分割和整合工作流程智慧等創新技術在提高診斷成像程序的準確性和效率方面發揮著非常重要的作用。儘管市場具有成長潛力，但高昂的實施成本、整合複雜性、監管要求以及對臨床有效性和可靠性的擔憂等挑戰仍然不容忽視。然而，對人工智慧診斷成像基礎設施的持續投資，以及診斷成像設備製造商、醫療服務提供者、技術公司和研究機構之間合作的加強，有望推動市場進一步發展。

市場概覽

全球人工智慧驅動的影像技術市場正經歷一場變革，其驅動力來自成像硬體、人工智慧和互聯醫療IT基礎設施的融合。各公司正日益將人工智慧功能直接整合到影像系統和企業平台中，以提升掃描器效能、支援臨床工作流程智慧化並實現更標準化的診斷流程。嵌入式人工智慧演算法、自動協定選擇、智慧影像最佳化以及與PACS、RIS和EMR環境的互通性等顯著進步，顯示該產業正致力於從獨立的軟體工具轉向整合的成像生態系統。隨著醫療服務提供者將診斷服務的效率、擴充性和一致性置於優先地位，人工智慧驅動的影像診斷工具創新塑造市場趨勢，並有望使這些技術成為下一代成像基礎設施和資料驅動型放射學營運的核心。

對產業的影響

全球人工智慧影像診斷工具市場正經歷顯著成長，這主要得益於對高效診斷成像系統日益成長的需求，以及放射科對工作流程最佳化的日益重視。GE、Siemens Healthineers AG、Koninklijke Philips N.V.、Canon Inc.、FUJIFILM Holdings Corporation、Samsung Healthcare等領先企業在整合影像診斷工具的進步中發揮著更強的自動化成像方案，加速、更強大的自動化成像程度。這些創新對包括CT、MRI、超音波、X光等在內的所有成像方式都非常重要，能夠幫助醫療專業人員提升影像處理能力、提高影像品質，並支援更一致的臨床解讀。透過減少人工工作量、簡化掃描和報告流程、提高資源利用效率以及擴大智慧成像功能的覆蓋範圍，人工智慧影像診斷工具協助建立一個更有效率、擴充性的診斷成像生態系統。隨著全球對數位化醫療轉型的需求不斷成長，這種市場影響進一步加劇，人工智慧成像系統成為下一代放射學基礎設施的基石。

目錄

第1章 全球人工智慧影像診斷工具市場：產業展望

  • 市場概覽
  • 市場趨勢
    • 影響分析
    • 主要趨勢
  • 法律規範
    • 人工智慧成像設備和演算法的法律規範
    • 北美法規結構
    • 歐洲法規結構
    • 亞太地區的法規結構
  • 市場動態
    • 促進因素、挑戰和機會：當前和未來影響評估
    • 市場促進因素
    • 市場挑戰
    • 市場機會

第2章 2024-2036年全球人工智慧影像模式市場（依模式）

  • 模式概述
  • 電腦斷層掃描
  • 磁振造影
  • 超音波
  • X光
  • 其他方式

第3章 2024-2036年全球人工智慧影像模式市場（依應用領域）

  • 依用途匯總
  • 專業診斷影像
    • 概述
    • 市場規模及預測
  • 普通診斷影像

第4章 2024-2036年全球人工智慧影像技術市場（依地區）

  • 區域概況
  • 北美洲
    • 區域概覽
    • 市場成長促進因素
    • 市場挑戰
    • 分析師意見
    • 市場規模及預測
  • 歐洲
    • 區域概覽
    • 市場成長促進因素
    • 市場挑戰
    • 分析師意見
    • 市場規模及預測
  • 亞太地區
    • 區域概覽
    • 市場成長促進因素
    • 市場挑戰
    • 分析師意見
    • 市場規模及預測
  • 世界其他地區
    • 區域概覽
    • 市場成長促進因素
    • 市場挑戰
    • 分析師意見
    • 市場規模及預測

第5章 競爭標竿分析與公司概況

  • 關鍵策略與趨勢（2023年1月至2026年3月）
  • 主要發展分析（依公司分類）
  • 公司簡介
    • Agfa-Gevaert Group
    • Canon Inc.
    • Carestream Health Inc.
    • EchoNous Inc.
    • Esaote SPA
    • FUJIFILM Holdings Corporation
    • General Electric Company
    • Hyperfine, Inc.
    • Konica Minolta, Inc.
    • Koninklijke Philips NV
    • Nanox Imaging Ltd.
    • Samsung Healthcare
    • Shanghai United Imaging Healthcare Co., Ltd.
    • Shimadzu Corporation
    • Siemens Healthineers AG

第6章 調查方法

Product Code: BHR0904SB

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Introduction of the AI-Enabled Imaging Modalities Market

The global AI-enabled imaging modalities market, initially valued at $3,416.2 million in 2025, is projected to grow substantially, reaching $17,847.6 million by 2036, with a remarkable compound annual growth rate (CAGR) of 16.24% from 2026 to 2036.

KEY MARKET STATISTICS
Forecast Period2026 - 2036
2026 Evaluation$3,963.3 Million
2036 Forecast$17,847.6 Million
CAGR16.24%

The global AI-enabled imaging modalities market has been experiencing significant growth, driven by the increasing demand for accurate, faster, and workflow-efficient diagnostic imaging across healthcare systems. The rising volume of imaging procedures is creating strong demand for advanced imaging modalities that can improve diagnostic confidence, reduce turnaround times, and support higher patient throughput. AI-enabled imaging modalities, including X-ray, Magnetic Resonance Imaging (MRI) Systems, Computed Tomography, ultrasound, and other imaging modalities, are being increasingly used to support image acquisition, reconstruction, enhancement, detection, quantification, triage, reporting, and clinical decision-making. These systems help radiologists and clinicians manage growing diagnostic workloads by improving image quality, automating repetitive workflow steps, and enabling more consistent interpretation across clinical applications. Key innovations in AI-enabled reconstruction, image enhancement, automated detection, and workflow-integrated imaging platforms are accelerating the development of more efficient and scalable diagnostic imaging solutions.

Technological advancements are reshaping the AI-enabled imaging modalities landscape, with innovations such as deep learning-based reconstruction, AI-assisted image analysis, automated segmentation, and integrated workflow intelligence playing a pivotal role in improving the accuracy and efficiency of imaging procedures. Despite the market's growth prospects, challenges such as high implementation costs, integration complexity, regulatory requirements, and concerns around clinical validation and reliability remain significant. However, ongoing investments in AI-ready imaging infrastructure, along with increasing collaborations between imaging original equipment manufacturers, healthcare providers, technology companies, and research institutions, are expected to drive further progress in the market.

Market Introduction

The global AI-enabled imaging modalities market has transformed, spurred by the convergence of imaging hardware, artificial intelligence, and connected healthcare IT infrastructure. Companies are increasingly integrating AI capabilities directly into imaging systems and enterprise platforms to enhance scanner performance, support clinical workflow intelligence, and enable more standardized diagnostic processes. Noteworthy advancements, such as embedded AI algorithms, automated protocol selection, intelligent image optimization, and interoperability with PACS, RIS, and EMR environments, underscore the industry's focus on moving beyond standalone software tools toward integrated imaging ecosystems. As healthcare providers prioritize productivity, scalability, and consistency in diagnostic services, innovations in AI-enabled imaging modalities are expected to shape the market's trajectory, positioning these technologies as central to next-generation imaging infrastructure and data-driven radiology operations.

Industrial Impact

The global AI-enabled imaging modalities market has witnessed significant growth, driven by the increasing demand for efficient diagnostic imaging systems and the rising emphasis on workflow optimization across radiology departments. Key players such as GE, Siemens Healthineers AG, Koninklijke Philips N.V., Canon Inc., FUJIFILM Holdings Corporation, and Samsung Healthcare play a central role in advancing AI-integrated imaging technologies, facilitating the development of more efficient, automated, and interoperable imaging solutions. These innovations are crucial across modalities such as CT, MRI, ultrasound, X-ray, and other systems, enabling healthcare providers to improve imaging throughput, enhance image quality, and support more consistent clinical interpretation. By reducing manual workload, streamlining scan and reporting processes, improving resource utilization, and enabling greater access to intelligent imaging capabilities, AI-enabled imaging modalities are contributing to a more efficient and scalable diagnostic imaging ecosystem. The market's impact has been further amplified by its alignment with the growing global demand for digital health transformation, positioning AI-integrated imaging systems as a cornerstone of next-generation radiology infrastructure.

Market Segmentation:

Segmentation 1: By Modality

  • X-Ray
  • Ultrasound
  • Magnetic Resonance Imaging
  • Computed Tomography
  • Other Modalities

Computed Tomography Segment to Dominate the AI-Enabled Imaging Modalities Market (by Modality)

In terms of modality, the computed tomography segment is poised to lead the market during the forecast period, 2026-2036, accounting for a significant share due to the growing adoption of AI-enabled CT systems across high-volume diagnostic and emergency care settings. CT imaging is widely used across oncology, cardiovascular, neurology, trauma, and pulmonary applications, where faster image acquisition, improved image quality, and timely clinical interpretation are critical. AI-enabled CT systems support advanced capabilities such as image reconstruction, dose optimization, automated detection, organ and lesion quantification, workflow prioritization, and reporting assistance, which help improve diagnostic efficiency and patient throughput. As healthcare providers increasingly seek solutions that can address rising imaging volumes and radiology workflow pressures, AI integration within CT systems is becoming increasingly essential in clinical settings.

Segmentation 2: By Application

  • General Imaging
  • Specialty Imaging

Specialty Imaging to Dominate the AI-Enabled Imaging Modalities Market (by Application)

Regarding application, specialty imaging is expected to remain the most widely adopted application area for AI-enabled imaging modalities due to its strong linkage with high-value imaging systems and complex diagnostic workflows. Specialty imaging includes advanced applications across oncology, neurology, cardiology, musculoskeletal imaging, and molecular imaging, where accurate image reconstruction, lesion detection, quantification, workflow optimization, and clinical decision support are critical. AI-enabled imaging modalities are increasingly embedded into CT, MRI, and molecular imaging systems to support improved image quality, faster interpretation, structured assessment, and more consistent clinical decision-making.

Segmentation 3: By Region

  • North America
    • U.S.
    • Canada
  • Europe
    • U.K.
    • Germany
    • France
    • Italy
    • Spain
    • Rest-of-Europe
  • Asia-Pacific
    • China
    • Japan
    • Australia and New Zealand
    • South Korea
    • Singapore
    • Rest-of-Asia-Pacific
  • Rest-of-the-World

North America to Dominate the AI-Enabled Imaging Modalities Market (by Region)

In terms of region, North America is expected to lead the AI-enabled imaging modalities market, accounting for a significant share due to the region's advanced diagnostic imaging infrastructure, strong adoption of AI-integrated imaging platforms, and high purchasing capacity among hospitals and imaging networks. The region has a large installed base of CT, MRI, X-ray, ultrasound, and other systems, creating a strong foundation for AI-enabled upgrades and workflow-integrated deployment. In addition, early regulatory clearances, strong presence of leading imaging original equipment manufacturers, and increasing investments in radiology automation are supporting broader adoption across clinical settings.

Recent Developments in the AI-Enabled Imaging Modalities Market

  • In April 2026, Hyperfine, Inc. received CE Mark and UKCA approvals for its next-generation Swoop portable MRI system and updated Optive AI software. The advancements include improved image quality, enhanced workflow, and a new diffusion-weighted imaging (DWI) capability for better stroke detection. These approvals enable commercialization across Europe and the U.K., expanding access to AI-powered portable brain imaging at the point of care.
  • In January 2026, Fujifilm India introduced a new portfolio of CT, mammography, X-ray, and healthcare IT solutions integrated with AI-enabled medical imaging and workflow automation, enabling end-to-end diagnostic workflows, faster clinical decision-making, and improved radiology efficiency across India.
  • In December 2025, Samsung Healthcare, through its subsidiary Samsung Medison, introduced the R20 Ultrasound System at RSNA 2025. The system integrates AI-powered tools for real-time exam guidance, automated measurements, diagnostic assistance, and workflow automation, alongside advanced imaging hardware and beamforming technologies. It also incorporates ergonomic innovations to improve clinician comfort and efficiency, addressing increasing complexity in ultrasound imaging due to rising chronic disease burden.

Demand - Drivers, Challenges, and Opportunities

Market Drivers

Transition toward Fully Digital and AI-Ready Imaging Infrastructure: The shift from legacy imaging systems to fully digital and AI-ready infrastructure remains a key factor driving the demand for AI-enabled imaging modalities. Many healthcare facilities are modernizing outdated or partially digitized imaging environments to support better connectivity, data standardization, interoperability, and integration with advanced AI workflows. As imaging departments increasingly rely on PACS, cloud-based data management, enterprise imaging platforms, and connected scanners, the demand for AI-compatible systems has become more urgent. These systems are essential for enabling automated acquisition, image reconstruction, workflow support, dose optimization, and real-time analytics within routine clinical practice. This transition toward digital and AI-ready imaging infrastructure is helping create a more scalable and integrated diagnostic ecosystem, with a focus on operational efficiency, workflow intelligence, and future-ready imaging capabilities. The continued replacement of legacy systems presents significant market opportunities for imaging OEMs, AI software developers, and healthcare providers seeking to improve diagnostic performance and long-term return on investment.

Market Challenges

High Capital and Implementation Costs for AI Deployment: While AI-enabled imaging modalities offer considerable promise in improving diagnostic efficiency and radiology workflow performance, their deployment across clinical settings faces several cost-related challenges. The implementation of AI-enabled imaging systems often requires investment beyond the purchase of advanced imaging equipment, as healthcare providers also need supporting IT infrastructure, PACS/RIS integration, secure data management, workflow redesign, and staff training. These requirements create a significant barrier to adoption, particularly for smaller hospitals, imaging centers, and resource-constrained healthcare facilities. Many providers also face operational hurdles related to system validation, interoperability, user onboarding, and continuous performance monitoring, which increase the total cost of ownership over time. Additionally, the financial impact of AI deployment can vary depending on imaging volume, pricing models, infrastructure readiness, and the extent of integration required within existing clinical workflows. The need for ongoing software updates, maintenance, post-market surveillance, and lifecycle management further adds to implementation complexity and cost. These factors have slowed broader adoption of AI-enabled imaging modalities in routine clinical practice, especially in settings where return on investment remains uncertain.

Market Opportunities

Expansion of AI-Enabled Imaging in Emerging and Underserved Markets: The expansion of AI-enabled imaging modalities in emerging and underserved healthcare markets represents a significant growth opportunity in the global market. Many low- and middle-income regions continue to face limited access to diagnostic imaging services due to gaps in imaging infrastructure, radiologist availability, and specialized healthcare delivery capacity. AI-enabled imaging modalities can help address these limitations by supporting standardized image acquisition, automated image enhancement, workflow prioritization, and remote interpretation, particularly in settings where specialist expertise is scarce. The integration of AI into imaging workflows can improve diagnostic reach, support earlier disease detection, and enable more scalable delivery of imaging services beyond large tertiary hospitals. Moreover, advancements in portable imaging systems, cloud connectivity, and AI-compatible platforms are making it more feasible to deploy imaging solutions in decentralized and resource-constrained environments.

How can this report add value to an organization?

Product/Innovation Strategy: The global AI-enabled imaging modalities market has been divided into several key segments, including modality, application, and regional markets. By understanding which modalities, applications, and regional markets hold the largest share and which ones show stronger growth potential, this report offers valuable insights for organizations looking to innovate and expand their AI-enabled imaging portfolios.

Growth/Marketing Strategy: Strategic partnerships, collaborations, product launches, regulatory clearances, and business expansions are anticipated to be central to the growth of the AI-enabled imaging modalities market. Key developments among imaging OEMs, AI technology companies, healthcare providers, enterprise imaging vendors, and research institutions are shaping market adoption.

Competitive Strategy: The AI-enabled imaging modalities market is moderately consolidated, with established imaging OEMs and technology providers competing through AI integration, modality-specific innovation, enterprise imaging connectivity, and clinical validation. Key market players are actively embedding AI capabilities into imaging systems and workflow platforms to differentiate their offerings and improve customer retention.

Methodology

Key Considerations and Assumptions in Market Engineering and Validation

  • Years from 2024 to 2036 have been considered for the global market size estimation, 2025 has been considered as the base year, and 2026 to 2036 as the forecast period.
  • The scope of the report is based on comprehensive inputs from industry experts across various sectors, including hospitals, diagnostic imaging centers, healthcare IT providers, imaging original equipment manufacturers (OEMs), AI solution providers, and research institutions.
  • The market contribution of AI-enabled imaging modalities is anticipated to grow substantially in the future, with projections based on historical analysis of available solutions.
  • Revenues from companies have been sourced from their annual reports for FY2024 and FY2025. For private companies, revenue estimates are derived from primary research inputs, funding history, market collaborations, and operational performance.
  • The market has been mapped based on the existing AI-enabled imaging modality products and systems. Key companies with significant offerings in AI-integrated imaging systems, workflow-enabled imaging platforms, and modality-specific AI capabilities have been identified and profiled in this report.

Primary Research

The primary sources involve industry experts and key stakeholders across the healthcare and imaging ecosystem, including AI-enabled imaging solution providers, medical imaging system manufacturers, radiology service providers, and healthcare institutions. Stakeholders such as hospitals, diagnostic imaging centers, screening programs, and teleradiology providers have been consulted to validate adoption trends, workflow integration, and clinical utility across multiple imaging modalities. Respondents, including CEOs, vice presidents, product and marketing directors, and technology and innovation leaders, have been interviewed to obtain and verify both qualitative and quantitative insights for this research study.

The key data points taken from the primary sources include:

  • validation and triangulation of all the numbers and graphs
  • validation of report segmentations and key qualitative findings
  • understanding the competitive landscape and business model
  • current and proposed production values of a product by market players
  • validation of the numbers of different segments of the market in focus
  • percentage split of individual markets for regional analysis

Secondary Research

Open Sources

  • Certified publications, articles from recognized authors, white papers, directories, and major databases, among others
  • Annual reports, SEC filings, and investors' presentations of the leading market players
  • Company websites and a detailed study of their product portfolio
  • Gold standard magazines, journals, white papers, press releases, and news articles
  • Paid databases

The key data points taken from the secondary sources include:

  • segmentations and percentage shares
  • data for market value
  • key industry trends of the top players in the market
  • qualitative insights into various aspects of the market, key trends, and emerging areas of innovation
  • quantitative data for mathematical and statistical calculations

Key Market Players and Competition Synopsis

The companies profiled have been selected based on inputs gathered from an analysis of company coverage, product portfolio, and market penetration.

Some prominent names established in this market are:

  • Agfa-Gevaert Group
  • Canon Inc.
  • Carestream Health Inc.
  • EchoNous Inc.
  • Esaote SPA
  • FUJIFILM Holdings Corporation
  • GE
  • Hyperfine, Inc.
  • Konica Minolta, Inc.
  • Koninklijke Philips N.V.
  • Nanox Imaging Ltd.
  • Samsung Healthcare
  • Shanghai United Imaging Healthcare Co., Ltd.
  • Shimadzu Corporation
  • Siemens Healthineers AG

Table of Contents

Executive Summary

Scope and Definition

1 Global AI-Enabled Imaging Modalities Market: Industry Outlook

  • 1.1 Market Overview
  • 1.2 Market Trends
    • 1.2.1 Impact Analysis
    • 1.2.2 Key Trends
      • 1.2.2.1 Shift Toward AI-Enabled Preventive and Risk-Based Imaging
      • 1.2.2.2 Transition Toward AI-Embedded Imaging Modalities
  • 1.3 Regulatory Framework
    • 1.3.1 Regulatory Framework for Artificial Intelligence-Enabled Medical Imaging Devices and Algorithms
    • 1.3.2 Regulatory Framework in North America
      • 1.3.2.1 Regulatory Framework in the U.S.
    • 1.3.3 Regulatory Framework in Europe
    • 1.3.4 Regulatory Framework in Asia-Pacific
      • 1.3.4.1 Regulatory Framework in Japan
      • 1.3.4.2 Regulatory Framework in China
  • 1.4 Market Dynamics
    • 1.4.1 Drivers, Challenges, and Opportunities: Current and Future Impact Assessment
    • 1.4.2 Market Drivers
      • 1.4.2.1 Transition Toward Fully Digital and AI-Ready Imaging Infrastructure
      • 1.4.2.2 Rising Imaging Volume Driving Need for Workflow Automation
    • 1.4.3 Market Challenges
      • 1.4.3.1 High Capital and Implementation Costs for AI Deployment
      • 1.4.3.2 Automation Bias and Reliability Concerns in AI-Driven Imaging Workflows
    • 1.4.4 Market Opportunities
      • 1.4.4.1 Expansion of AI-Enabled Imaging in Emerging and Underserved Markets

2 Global AI-Enabled Medical Imaging Modalities Market (by Modality), $Million, 2024-2036

  • 2.1 Modality Summary
  • 2.2 Computed Tomography
    • 2.2.1 Overview
    • 2.2.2 Market Sizing and Forecast
  • 2.3 Magnetic Resonance Imaging
    • 2.3.1 Overview
    • 2.3.2 Market Sizing and Forecast
  • 2.4 Ultrasound
    • 2.4.1 Overview
    • 2.4.2 Market Sizing and Forecast
  • 2.5 X-Ray
    • 2.5.1 Overview
    • 2.5.2 Market Sizing and Forecast
  • 2.6 Other Modalities
    • 2.6.1 Overview
    • 2.6.2 Market Sizing and Forecast

3 Global AI-Enabled Imaging Modalities Market (by Application), $Million, 2024-2036

  • 3.1 Application Summary
  • 3.2 Specialty Imaging
    • 3.2.1 Overview
    • 3.2.2 Market Sizing and Forecast
      • 3.2.2.1 Cardiology
      • 3.2.2.2 Oncology
        • 3.2.2.2.1 Breast Cancer
        • 3.2.2.2.2 Lung Cancer
        • 3.2.2.2.3 Other Cancer Types
      • 3.2.2.3 Neurology
      • 3.2.2.4 Respiratory
      • 3.2.2.5 Others
  • 3.3 General Imaging
    • 3.3.1 Overview
    • 3.3.2 Market Sizing and Forecast

4 Global AI-Enabled Imaging Modalities Market (by Region), $Million, 2024-2036

  • 4.1 Regional Summary
  • 4.2 North America
    • 4.2.1 Regional Overview
    • 4.2.2 Driving Factors for Market Growth
    • 4.2.3 Factors Challenging the Market
    • 4.2.4 Analyst View
    • 4.2.5 Market Sizing and Forecast
      • 4.2.5.1 North America AI-Enabled Imaging Modalities Market, by Country
        • 4.2.5.1.1 U.S.
        • 4.2.5.1.2 Canada
  • 4.3 Europe
    • 4.3.1 Regional Overview
    • 4.3.2 Driving Factors for Market Growth
    • 4.3.3 Factors Challenging the Market
    • 4.3.4 Analyst View
    • 4.3.5 Market Sizing and Forecast
      • 4.3.5.1 Europe AI-Enabled Imaging Modalities Market, by Country
        • 4.3.5.1.1 U.K.
        • 4.3.5.1.2 Germany
        • 4.3.5.1.3 France
        • 4.3.5.1.4 Italy
        • 4.3.5.1.5 Spain
        • 4.3.5.1.6 Rest-of-Europe
  • 4.4 Asia-Pacific
    • 4.4.1 Regional Overview
    • 4.4.2 Driving Factors for Market Growth
    • 4.4.3 Factors Challenging the Market
    • 4.4.4 Analyst View
    • 4.4.5 Market Sizing and Forecast
      • 4.4.5.1 Asia-Pacific AI-Enabled Imaging Modalities Market, by Country
        • 4.4.5.1.1 China
        • 4.4.5.1.2 Japan
        • 4.4.5.1.3 Australia and New Zealand
        • 4.4.5.1.4 South Korea
        • 4.4.5.1.5 Singapore
        • 4.4.5.1.6 Rest-of-Asia-Pacific
  • 4.5 Rest-of-the-World
    • 4.5.1 Regional Overview
    • 4.5.2 Driving Factors for Market Growth
    • 4.5.3 Factors Challenging the Market
    • 4.5.4 Analyst View
    • 4.5.5 Market Sizing and Forecast

5 Competitive Benchmarking and Company Profiles

  • 5.1 Key Strategies and Developments, January 2023-March 2026
  • 5.2 Key Developments Analysis (by Company)
  • 5.3 Company Profiles
    • 5.3.1 Agfa-Gevaert Group
      • 5.3.1.1 Overview
      • 5.3.1.2 Top Products/Product Portfolio
      • 5.3.1.3 Top Competitors
      • 5.3.1.4 Key Personnel
      • 5.3.1.5 Analyst View
    • 5.3.2 Canon Inc.
      • 5.3.2.1 Overview
      • 5.3.2.2 Top Products/Product Portfolio
      • 5.3.2.3 Top Competitors
      • 5.3.2.4 Key Personnel
      • 5.3.2.5 Analyst View
    • 5.3.3 Carestream Health Inc.
      • 5.3.3.1 Overview
      • 5.3.3.2 Top Products/Product Portfolio
      • 5.3.3.3 Top Competitors
      • 5.3.3.4 Key Personnel
      • 5.3.3.5 Analyst View
    • 5.3.4 EchoNous Inc.
      • 5.3.4.1 Overview
      • 5.3.4.2 Top Products/Product Portfolio
      • 5.3.4.3 Top Competitors
      • 5.3.4.4 Key Personnel
      • 5.3.4.5 Analyst View
    • 5.3.5 Esaote SPA
      • 5.3.5.1 Overview
      • 5.3.5.2 Top Products/Product Portfolio
      • 5.3.5.3 Top Competitors
      • 5.3.5.4 Key Personnel
      • 5.3.5.5 Analyst View
    • 5.3.6 FUJIFILM Holdings Corporation
      • 5.3.6.1 Overview
      • 5.3.6.2 Top Products/Product Portfolio
      • 5.3.6.3 Top Competitors
      • 5.3.6.4 Key Personnel
      • 5.3.6.5 Analyst View
    • 5.3.7 General Electric Company
      • 5.3.7.1 Overview
      • 5.3.7.2 Top Products/Product Portfolio
      • 5.3.7.3 Top Competitors
      • 5.3.7.4 Key Personnel
      • 5.3.7.5 Analyst View
    • 5.3.8 Hyperfine, Inc.
      • 5.3.8.1 Overview
      • 5.3.8.2 Top Products/Product Portfolio
      • 5.3.8.3 Top Competitors
      • 5.3.8.4 Key Personnel
      • 5.3.8.5 Analyst View
    • 5.3.9 Konica Minolta, Inc.
      • 5.3.9.1 Overview
      • 5.3.9.2 Top Products/Product Portfolio
      • 5.3.9.3 Top Competitors
      • 5.3.9.4 Key Personnel
      • 5.3.9.5 Analyst View
    • 5.3.10 Koninklijke Philips N.V.
      • 5.3.10.1 Overview
      • 5.3.10.2 Top Products/Product Portfolio
      • 5.3.10.3 Top Competitors
      • 5.3.10.4 Key Personnel
      • 5.3.10.5 Analyst View
    • 5.3.11 Nanox Imaging Ltd.
      • 5.3.11.1 Overview
      • 5.3.11.2 Top Products/Product Portfolio
      • 5.3.11.3 Top Competitors
      • 5.3.11.4 Key Personnel
      • 5.3.11.5 Analyst View
    • 5.3.12 Samsung Healthcare
      • 5.3.12.1 Overview
      • 5.3.12.2 Top Products/Product Portfolio
      • 5.3.12.3 Top Competitors
      • 5.3.12.4 Key Personnel
      • 5.3.12.5 Analyst View
    • 5.3.13 Shanghai United Imaging Healthcare Co., Ltd.
      • 5.3.13.1 Overview
      • 5.3.13.2 Top Products/Product Portfolio
      • 5.3.13.3 Top Competitors
      • 5.3.13.4 Key Personnel
      • 5.3.13.5 Analyst View
    • 5.3.14 Shimadzu Corporation
      • 5.3.14.1 Overview
      • 5.3.14.2 Top Products/Product Portfolio
      • 5.3.14.3 Top Competitors
      • 5.3.14.4 Key Personnel
      • 5.3.14.5 Analyst View
    • 5.3.15 Siemens Healthineers AG
      • 5.3.15.1 Overview
      • 5.3.15.2 Top Products/Product Portfolio
      • 5.3.15.3 Top Competitors
      • 5.3.15.4 Key Personnel
      • 5.3.15.5 Analyst View

6 Research Methodology

  • 6.1 Data Sources
    • 6.1.1 Primary Data Sources
    • 6.1.2 Secondary Data Sources
    • 6.1.3 Data Triangulation
  • 6.2 Market Estimation and Forecast

List of Figures

  • Figure 1: Global AI-Enabled Imaging Modalities Market (by Scenario), $Million, 2024, 2030, and 2036
  • Figure 2: Global AI-Enabled Imaging Modalities Market (by Region), $Million, 2024, 2030, and 2036
  • Figure 3: Global AI-Enabled Imaging Modalities Market (by Modality), $Million, 2024, 2030, and 2036
  • Figure 4: Global AI-Enabled Imaging Modalities Market (by Application), $Million, 2024, 2030, and 2036
  • Figure 5: Global AI-Enabled Imaging Modalities Market (by Modality), $Million, 2024, 2030, and 2036
  • Figure 6: Global AI-Enabled Imaging Modalities Market (Computed Tomography), $Million, 2024-2036
  • Figure 7: Global AI-Enabled Imaging Modalities Market (Magnetic Resonance Imaging), $Million, 2024-2036
  • Figure 8: Global AI-Enabled Imaging Modalities Market (Ultrasound), $Million, 2024-2036
  • Figure 9: Global AI-Enabled Imaging Modalities Market (X-Ray), $Million, 2024-2036
  • Figure 10: Global AI-Enabled Imaging Modalities Market (Other Modalities), $Million, 2024-2036
  • Figure 11: Global AI-Enabled Imaging Modalities Market (by Application), $Million, 2024, 2030, and 2036
  • Figure 12: Global AI-Enabled Imaging Modalities Market (Specialty Imaging), $Million, 2024-2036
  • Figure 13: Global AI-Enabled Imaging Modalities Market (Cardiology), $Million, 2024-2036
  • Figure 14: Global AI-Enabled Imaging Modalities Market (Oncology), $Million, 2024-2036
  • Figure 15: Global AI-Enabled Imaging Modalities Market (Breast Cancer), $Million, 2024-2036
  • Figure 16: Global AI-Enabled Imaging Modalities Market (Lung Cancer), $Million, 2024-2036
  • Figure 17: Global AI-Enabled Imaging Modalities Market (Other Cancer Types), $Million, 2024-2036
  • Figure 18: Global AI-Enabled Imaging Modalities Market (Neurology), $Million, 2024-2036
  • Figure 19: Global AI-Enabled Imaging Modalities Market (Respiratory), $Million, 2024-2036
  • Figure 20: Global AI-Enabled Imaging Modalities Market (Others), $Million, 2024-2036
  • Figure 21: Global AI-Enabled Imaging Modalities Market (General Imaging), $Million, 2024-2036
  • Figure 22: North America AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 23: U.S. AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 24: Canada AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 25: Europe AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 26: U.K. AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 27: Germany AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 28: France AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 29: Italy AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 30: Spain AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 31: Rest-of-Europe AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 32: Asia-Pacific AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 33: China AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 34: Japan AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 35: Australia and New Zealand AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 36: South Korea AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 37: Singapore AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 38: Rest-of-Asia-Pacific AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 39: Rest-of-the-World AI-Enabled Imaging Modalities Market, $Million, 2024-2036
  • Figure 40: Key Strategies and Developments, January 2023-March 2026
  • Figure 41: Data Triangulation
  • Figure 42: Top-Down and Bottom-Up Approach
  • Figure 43: Assumptions and Limitations

List of Tables

  • Table 1: Market Snapshot
  • Table 2: Drivers, Challenges, and Opportunities: Current and Future Impact Assessment
  • Table 3: Global AI-Enabled Imaging Modalities Market (by Region), $Million, 2024-2036
  • Table 4: North America AI-Enabled Imaging Modalities Market (by Country), $Million, 2024-2036
  • Table 5: Europe AI-Enabled Imaging Modalities Market (by Country), $Million, 2024-2036
  • Table 6: Asia-Pacific AI-Enabled Imaging Modalities Market (by Country), $Million, 2024-2036
  • Table 7: Major Key Strategies, January 2023-March 2026