세계의 의료 영상용 AI 시장 규모, 점유율 및 동향 분석 보고서 - 기술별, 양식별, 최종 용도별, 용도별, 지역별 전망 및 예측(2023-2030년)

The Global AI In Medical Imaging Market size is expected to reach $10.3 billion by 2030, rising at a market growth of 32.2% CAGR during the forecast period.

Neuroimaging greatly aids the early detection and diagnosis of neurological disorders, including stroke, brain tumors, neurodegenerative diseases (such as Alzheimer's and Parkinson's), and multiple sclerosis. Therefore, the neurology segment captured $423.3 million revenue in the market in 2022. To enhance the quality of life and patient outcomes, AI algorithms may evaluate neuroimaging data to detect early indicators of pathology, describe the course of a disease, and forecast patient outcomes.

The major strategies followed by the market participants are Partnerships, Collaborations & Agreements as the key developmental strategy to keep pace with the changing demands of end users. For instance, In March, 2024, Siemens Healthineers AG joined hands with SmartAlpha. Under this partnership, the companies delivered cutting-edge AI-driven solutions designed to enhance workflow efficiencies and ensure consistent optimization of clinical performance. Additionally, In December, 2023, Agfa-Gevaert NV came into a partnership with Corista. Under this partnership, the DP3 technology of Corista was integrated with Enterprise Imaging for Pathology platform of Agfa-Gevaert.

KBV Cardinal Matrix - AI In Medical Imaging Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation and Google LLC (Alphabet Inc.) are the forerunners in the market. In March, 2024, Microsoft Corporation expanded the partnership with NVIDIA Corporation, an American multinational corporation and technology company. Under this extended partnership, Microsoft Azure was integrated with NVIDIA DGX Cloud and the NVIDIA Clara suite of computing platforms, software, and services. Additionally, this extended partnership empowered healthcare and life sciences organizations to expedite innovation and enhance patient care by leveraging advanced AI capabilities and scalable cloud infrastructure. Companies such as General Electric Company, IBM Corporation, NVIDIA Corporation are some of the key innovators in the market.

COVID-19 Impact Analysis

The demand for AI-powered imaging systems that facilitate the remote interpretation of medical images surged due to the pandemic's acceleration of telehealth and remote diagnostics deployment. AI algorithms facilitate the rapid analysis and triage of imaging studies, allowing healthcare providers to remotely assess and monitor patients, particularly those with COVID-19-related complications or other urgent medical conditions. Thus, the COVID-19 pandemic positively impacted market.

Market Growth Factors

Precision medicine relies heavily on accurate and detailed medical imaging to identify specific biomarkers and genetic variations. AI-powered medical imaging systems can analyze these pictures at a speed and accuracy never before possible, enabling medical professionals to diagnose patients more precisely and create individualized treatment regimens for each patient. Therefore, the rising demand for precision medicine drives the market's growth.

Personalized medicine requires tailored imaging protocols to effectively capture specific disease characteristics and individual patient variations. AI algorithms can adapt imaging protocols based on patient demographics, clinical history, and genetic information, optimizing image acquisition parameters for better diagnostic accuracy and treatment planning. Hence, increasing personalized medicine and treatment planning propels the market's growth.

Market Restraining Factors

Medical imaging involves generating and analyzing sensitive patient data, including imaging scans, medical histories, and clinical notes. As such, there are stringent regulations, such as HIPAA (Health Insurance Portability and Accountability Act) in the United States, that mandate the protection of patient confidentiality. Thus, data privacy and security concerns are hampering the market's growth.

By Technology Analysis

Based on technology, the market is divided into deep learning, natural language processing (NLP), and others. The natural language processing (NLP) segment attained 32.9% revenue share in the market in 2022. NLP algorithms can automate the generation of structured radiology reports from unstructured text, reducing the time and effort required by radiologists to create reports manually.

By Modality Analysis

Based on modality, the market is categorized into CT scan, MRI, X-rays, ultrasound, and nuclear imaging. The X-rays segment held 13.2% growth rate in the market in 2022. X-rays are often used for routine screening and initial diagnosis of common conditions, such as fractures, pneumonia, and dental problems.

By End-use Analysis

By end-use, the market is divided into hospitals, diagnostic imaging centers, and others. The diagnostic imaging centers segment procured 40.5% revenue share in the market in 2022. Diagnostic imaging centers face pressure to optimize operational efficiency and streamline radiology workflows to accommodate increasing patient volumes and reduce waiting times.

By Application Analysis

On the basis of application, the market is segmented into neurology, respiratory & pulmonary, cardiology, breast screening, orthopedics, and others. The cardiology segment held 15.8% growth rate in the market in 2022. Globally, the primary causes of morbidity and mortality are cardiovascular diseases (CVDs), which include heart failure, arrhythmias, and coronary artery disease.

By Regional Analysis

Region-wise, the market is analysed across North America, Europe, Asia Pacific, and LAMEA. The North America region witnessed 41.5% revenue share in the market in 2022. North America boasts one of the most advanced healthcare infrastructures globally, with state-of-the-art hospitals, research institutions, and medical facilities equipped with advanced imaging modalities such as MRI, CT, PET, and ultrasound.

The market competition in the AI in Medical Imaging sector is robust and dynamic, characterized by a diverse array of players ranging from established industry leaders to innovative startups. As the demand for AI-driven solutions in medical imaging continues to grow, competition among companies intensifies, driven by factors such as technological innovation, regulatory compliance, and strategic partnerships. Established players leverage their brand reputation, extensive resources, and established customer bases to maintain market dominance and drive adoption of their AI solutions. These companies invest heavily in research and development to enhance their product offerings, expand their market reach, and stay ahead of emerging competitors.

Recent Strategies Deployed in the Market

• Mar-2024: Siemens Healthineers AG joined hands with SmartAlpha, a financial technology firm. Under this partnership, the companies delivered cutting-edge AI-driven solutions designed to enhance workflow efficiencies and ensure consistent optimization of clinical performance, Additionally, the partnership offered improved outcomes in various care environments.
• Mar-2024: Microsoft Corporation expanded the partnership with NVIDIA Corporation, an American multinational corporation and technology company. Under this extended partnership, Microsoft Azure was integrated with NVIDIA DGX Cloud and the NVIDIA Clara suite of computing platforms, software, and services. Additionally, this extended partnership empowered healthcare and life sciences organizations to expedite innovation and enhance patient care by leveraging advanced AI capabilities and scalable cloud infrastructure.
• Mar-2024: NVIDIA Corporation unveiled over twenty new microservices tailored for healthcare enterprises, enabling them to harness cutting-edge generative AI advancements from any location and across various cloud platforms. The new product incorporates finely tuned NVIDIA NIM AI models and workflows equipped with industry-standard APIs, facilitating their use as fundamental components for constructing and launching cloud-native applications. Additionally, the new product provides sophisticated capabilities in imaging, natural language processing, speech recognition, as well as the generation, prediction, and simulation of digital biology, enhancing the landscape of healthcare solutions with innovative AI technologies.
• Feb-2024: Koninklijke Philips N.V. unveiled CT 5300 system; a versatile X-ray CT platform integrated with advanced AI functionalities. The new product enhances diagnostic certainty, optimizes workflow efficiency, and ensures maximum system uptime. Its implementation leads to enhanced patient outcomes and heightened departmental productivity.
• Jun-2022: Zebra Technologies Corporation took over Matrox Imaging, a provider of innovative image processing and computer vision solutions, specializing in developing hardware and software components for industrial machine vision applications. This acquisition enhances Zebra's presence in the rapidly growing automation and vision technology solution sector, complementing its recently launched fixed industrial scanning and machine vision portfolio, along with the acquisitions of Adaptive Vision and Fetch Robotics.

List of Key Companies Profiled

• Siemens Healthineers AG (Siemens AG)
• GE HealthCare Technologies, Inc.
• Koninklijke Philips N.V.
• Fujifilm Holdings Corporation
• Agfa-Gevaert NV
• Microsoft Corporation
• Google LLC (Alphabet Inc.)
• Intel Corporation
• NVIDIA Corporation
• Zebra Technologies Corporation

Global AI In Medical Imaging Market Report Segmentation

By Technology

• Deep Learning
• Natural Language Processing (NLP)
• Others

By Modality

• CT Scan
• MRI
• Ultrasound
• X-rays
• Nuclear Imaging

By End-use

• Hospitals
• Diagnostic Imaging Centers
• Others

By Application

• Neurology
• Breast Screening
• Cardiology
• Respiratory & Pulmonary
• Orthopedics
• Others

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1.Market Scope & Methodology

• 1.1Market Definition
• 1.2Objectives
• 1.3Market Scope
• 1.4Segmentation
  • 1.4.1Global AI In Medical Imaging Market, by Technology
  • 1.4.2Global AI In Medical Imaging Market, by Modality
  • 1.4.3Global AI In Medical Imaging Market, by End-use
  • 1.4.4Global AI In Medical Imaging Market, by Application
  • 1.4.5Global AI In Medical Imaging Market, by Geography
• 1.5Methodology for the research

Chapter 2.Market at a Glance

• 2.1Key Highlights

Chapter 3.Market Overview

• 3.1Introduction
  • 3.1.1Overview
    • 3.1.1.1Market Composition and Scenario
• 3.2Key Factors Impacting the Market
  • 3.2.1Market Drivers
  • 3.2.2Market Opportunities
  • 3.2.3Market Restraints
  • 3.2.4Market Challenges

Chapter 4.Competition Analysis - Global

• 4.1KBV Cardinal Matrix
• 4.2Recent Industry Wide Strategic Developments
  • 4.2.1Partnerships, Collaborations and Agreements
  • 4.2.2Product Launches and Product Expansions
  • 4.2.3Acquisition and Mergers
  • 4.2.4Expansion
• 4.3Market Share Analysis, 2022
• 4.4Top Winning Strategies
  • 4.4.1Key Leading Strategies: Percentage Distribution (2019-2023)
  • 4.4.2Key Strategic Move: (Partnerships, Collaborations & Agreements : 2021, Mar - 2024, Mar) Leading Players
• 4.5Porter's Five Forces Analysis

Chapter 5.Global AI In Medical Imaging Market by Technology

• 5.1Global Deep Learning Market by Region
• 5.2Global Natural Language Processing (NLP) Market by Region
• 5.3Global Others Market by Region

Chapter 6.Global AI In Medical Imaging Market by Modality

• 6.1Global CT Scan Market by Region
• 6.2Global MRI Market by Region
• 6.3Global Ultrasound Market by Region
• 6.4Global X-rays Market by Region
• 6.5Global Nuclear Imaging Market by Region

Chapter 7.Global AI In Medical Imaging Market by End-use

• 7.1Global Hospitals Market by Region
• 7.2Global Diagnostic Imaging Centers Market by Region
• 7.3Global Others Market by Region

Chapter 8.Global AI In Medical Imaging Market by Application

• 8.1Global Neurology Market by Region
• 8.2Global Breast Screening Market by Region
• 8.3Global Cardiology Market by Region
• 8.4Global Respiratory & Pulmonary Market by Region
• 8.5Global Orthopedics Market by Region
• 8.6Global Others Market by Region

Chapter 9.Global AI In Medical Imaging Market by Region

• 9.1North America AI In Medical Imaging Market
  • 9.1.1North America AI In Medical Imaging Market by Technology
    • 9.1.1.1North America Deep Learning Market by Country
    • 9.1.1.2North America Natural Language Processing (NLP) Market by Country
    • 9.1.1.3North America Others Market by Country
  • 9.1.2North America AI In Medical Imaging Market by Modality
    • 9.1.2.1North America CT Scan Market by Country
    • 9.1.2.2North America MRI Market by Country
    • 9.1.2.3North America Ultrasound Market by Country
    • 9.1.2.4North America X-rays Market by Country
    • 9.1.2.5North America Nuclear Imaging Market by Country
  • 9.1.3North America AI In Medical Imaging Market by End-use
    • 9.1.3.1North America Hospitals Market by Country
    • 9.1.3.2North America Diagnostic Imaging Centers Market by Country
    • 9.1.3.3North America Others Market by Country
  • 9.1.4North America AI In Medical Imaging Market by Application
    • 9.1.4.1North America Neurology Market by Country
    • 9.1.4.2North America Breast Screening Market by Country
    • 9.1.4.3North America Cardiology Market by Country
    • 9.1.4.4North America Respiratory & Pulmonary Market by Country
    • 9.1.4.5North America Orthopedics Market by Country
    • 9.1.4.6North America Others Market by Country
  • 9.1.5North America AI In Medical Imaging Market by Country
    • 9.1.5.1US AI In Medical Imaging Market
      • 9.1.5.1.1US AI In Medical Imaging Market by Technology
      • 9.1.5.1.2US AI In Medical Imaging Market by Modality
      • 9.1.5.1.3US AI In Medical Imaging Market by End-use
      • 9.1.5.1.4US AI In Medical Imaging Market by Application
    • 9.1.5.2Canada AI In Medical Imaging Market
      • 9.1.5.2.1Canada AI In Medical Imaging Market by Technology
      • 9.1.5.2.2Canada AI In Medical Imaging Market by Modality
      • 9.1.5.2.3Canada AI In Medical Imaging Market by End-use
      • 9.1.5.2.4Canada AI In Medical Imaging Market by Application
    • 9.1.5.3Mexico AI In Medical Imaging Market
      • 9.1.5.3.1Mexico AI In Medical Imaging Market by Technology
      • 9.1.5.3.2Mexico AI In Medical Imaging Market by Modality
      • 9.1.5.3.3Mexico AI In Medical Imaging Market by End-use
      • 9.1.5.3.4Mexico AI In Medical Imaging Market by Application
    • 9.1.5.4Rest of North America AI In Medical Imaging Market
      • 9.1.5.4.1Rest of North America AI In Medical Imaging Market by Technology
      • 9.1.5.4.2Rest of North America AI In Medical Imaging Market by Modality
      • 9.1.5.4.3Rest of North America AI In Medical Imaging Market by End-use
      • 9.1.5.4.4Rest of North America AI In Medical Imaging Market by Application
• 9.2Europe AI In Medical Imaging Market
  • 9.2.1Europe AI In Medical Imaging Market by Technology
    • 9.2.1.1Europe Deep Learning Market by Country
    • 9.2.1.2Europe Natural Language Processing (NLP) Market by Country
    • 9.2.1.3Europe Others Market by Country
  • 9.2.2Europe AI In Medical Imaging Market by Modality
    • 9.2.2.1Europe CT Scan Market by Country
    • 9.2.2.2Europe MRI Market by Country
    • 9.2.2.3Europe Ultrasound Market by Country
    • 9.2.2.4Europe X-rays Market by Country
    • 9.2.2.5Europe Nuclear Imaging Market by Country
  • 9.2.3Europe AI In Medical Imaging Market by End-use
    • 9.2.3.1Europe Hospitals Market by Country
    • 9.2.3.2Europe Diagnostic Imaging Centers Market by Country
    • 9.2.3.3Europe Others Market by Country
  • 9.2.4Europe AI In Medical Imaging Market by Application
    • 9.2.4.1Europe Neurology Market by Country
    • 9.2.4.2Europe Breast Screening Market by Country
    • 9.2.4.3Europe Cardiology Market by Country
    • 9.2.4.4Europe Respiratory & Pulmonary Market by Country
    • 9.2.4.5Europe Orthopedics Market by Country
    • 9.2.4.6Europe Others Market by Country
  • 9.2.5Europe AI In Medical Imaging Market by Country
    • 9.2.5.1Germany AI In Medical Imaging Market
      • 9.2.5.1.1Germany AI In Medical Imaging Market by Technology
      • 9.2.5.1.2Germany AI In Medical Imaging Market by Modality
      • 9.2.5.1.3Germany AI In Medical Imaging Market by End-use
      • 9.2.5.1.4Germany AI In Medical Imaging Market by Application
    • 9.2.5.2UK AI In Medical Imaging Market
      • 9.2.5.2.1UK AI In Medical Imaging Market by Technology
      • 9.2.5.2.2UK AI In Medical Imaging Market by Modality
      • 9.2.5.2.3UK AI In Medical Imaging Market by End-use
      • 9.2.5.2.4UK AI In Medical Imaging Market by Application
    • 9.2.5.3France AI In Medical Imaging Market
      • 9.2.5.3.1France AI In Medical Imaging Market by Technology
      • 9.2.5.3.2France AI In Medical Imaging Market by Modality
      • 9.2.5.3.3France AI In Medical Imaging Market by End-use
      • 9.2.5.3.4France AI In Medical Imaging Market by Application
    • 9.2.5.4Russia AI In Medical Imaging Market
      • 9.2.5.4.1Russia AI In Medical Imaging Market by Technology
      • 9.2.5.4.2Russia AI In Medical Imaging Market by Modality
      • 9.2.5.4.3Russia AI In Medical Imaging Market by End-use
      • 9.2.5.4.4Russia AI In Medical Imaging Market by Application
    • 9.2.5.5Spain AI In Medical Imaging Market
      • 9.2.5.5.1Spain AI In Medical Imaging Market by Technology
      • 9.2.5.5.2Spain AI In Medical Imaging Market by Modality
      • 9.2.5.5.3Spain AI In Medical Imaging Market by End-use
      • 9.2.5.5.4Spain AI In Medical Imaging Market by Application
    • 9.2.5.6Italy AI In Medical Imaging Market
      • 9.2.5.6.1Italy AI In Medical Imaging Market by Technology
      • 9.2.5.6.2Italy AI In Medical Imaging Market by Modality
      • 9.2.5.6.3Italy AI In Medical Imaging Market by End-use
      • 9.2.5.6.4Italy AI In Medical Imaging Market by Application
    • 9.2.5.7Rest of Europe AI In Medical Imaging Market
      • 9.2.5.7.1Rest of Europe AI In Medical Imaging Market by Technology
      • 9.2.5.7.2Rest of Europe AI In Medical Imaging Market by Modality
      • 9.2.5.7.3Rest of Europe AI In Medical Imaging Market by End-use
      • 9.2.5.7.4Rest of Europe AI In Medical Imaging Market by Application
• 9.3Asia Pacific AI In Medical Imaging Market
  • 9.3.1Asia Pacific AI In Medical Imaging Market by Technology
    • 9.3.1.1Asia Pacific Deep Learning Market by Country
    • 9.3.1.2Asia Pacific Natural Language Processing (NLP) Market by Country
    • 9.3.1.3Asia Pacific Others Market by Country
  • 9.3.2Asia Pacific AI In Medical Imaging Market by Modality
    • 9.3.2.1Asia Pacific CT Scan Market by Country
    • 9.3.2.2Asia Pacific MRI Market by Country
    • 9.3.2.3Asia Pacific Ultrasound Market by Country
    • 9.3.2.4Asia Pacific X-rays Market by Country
    • 9.3.2.5Asia Pacific Nuclear Imaging Market by Country
  • 9.3.3Asia Pacific AI In Medical Imaging Market by End-use
    • 9.3.3.1Asia Pacific Hospitals Market by Country
    • 9.3.3.2Asia Pacific Diagnostic Imaging Centers Market by Country
    • 9.3.3.3Asia Pacific Others Market by Country
  • 9.3.4Asia Pacific AI In Medical Imaging Market by Application
    • 9.3.4.1Asia Pacific Neurology Market by Country
    • 9.3.4.2Asia Pacific Breast Screening Market by Country
    • 9.3.4.3Asia Pacific Cardiology Market by Country
    • 9.3.4.4Asia Pacific Respiratory & Pulmonary Market by Country
    • 9.3.4.5Asia Pacific Orthopedics Market by Country
    • 9.3.4.6Asia Pacific Others Market by Country
  • 9.3.5Asia Pacific AI In Medical Imaging Market by Country
    • 9.3.5.1China AI In Medical Imaging Market
      • 9.3.5.1.1China AI In Medical Imaging Market by Technology
      • 9.3.5.1.2China AI In Medical Imaging Market by Modality
      • 9.3.5.1.3China AI In Medical Imaging Market by End-use
      • 9.3.5.1.4China AI In Medical Imaging Market by Application
    • 9.3.5.2Japan AI In Medical Imaging Market
      • 9.3.5.2.1Japan AI In Medical Imaging Market by Technology
      • 9.3.5.2.2Japan AI In Medical Imaging Market by Modality
      • 9.3.5.2.3Japan AI In Medical Imaging Market by End-use
      • 9.3.5.2.4Japan AI In Medical Imaging Market by Application
    • 9.3.5.3India AI In Medical Imaging Market
      • 9.3.5.3.1India AI In Medical Imaging Market by Technology
      • 9.3.5.3.2India AI In Medical Imaging Market by Modality
      • 9.3.5.3.3India AI In Medical Imaging Market by End-use
      • 9.3.5.3.4India AI In Medical Imaging Market by Application
    • 9.3.5.4South Korea AI In Medical Imaging Market
      • 9.3.5.4.1South Korea AI In Medical Imaging Market by Technology
      • 9.3.5.4.2South Korea AI In Medical Imaging Market by Modality
      • 9.3.5.4.3South Korea AI In Medical Imaging Market by End-use
      • 9.3.5.4.4South Korea AI In Medical Imaging Market by Application
    • 9.3.5.5Australia AI In Medical Imaging Market
      • 9.3.5.5.1Australia AI In Medical Imaging Market by Technology
      • 9.3.5.5.2Australia AI In Medical Imaging Market by Modality
      • 9.3.5.5.3Australia AI In Medical Imaging Market by End-use
      • 9.3.5.5.4Australia AI In Medical Imaging Market by Application
    • 9.3.5.6Malaysia AI In Medical Imaging Market
      • 9.3.5.6.1Malaysia AI In Medical Imaging Market by Technology
      • 9.3.5.6.2Malaysia AI In Medical Imaging Market by Modality
      • 9.3.5.6.3Malaysia AI In Medical Imaging Market by End-use
      • 9.3.5.6.4Malaysia AI In Medical Imaging Market by Application
    • 9.3.5.7Rest of Asia Pacific AI In Medical Imaging Market
      • 9.3.5.7.1Rest of Asia Pacific AI In Medical Imaging Market by Technology
      • 9.3.5.7.2Rest of Asia Pacific AI In Medical Imaging Market by Modality
      • 9.3.5.7.3Rest of Asia Pacific AI In Medical Imaging Market by End-use
      • 9.3.5.7.4Rest of Asia Pacific AI In Medical Imaging Market by Application
• 9.4LAMEA AI In Medical Imaging Market
  • 9.4.1LAMEA AI In Medical Imaging Market by Technology
    • 9.4.1.1LAMEA Deep Learning Market by Country
    • 9.4.1.2LAMEA Natural Language Processing (NLP) Market by Country
    • 9.4.1.3LAMEA Others Market by Country
  • 9.4.2LAMEA AI In Medical Imaging Market by Modality
    • 9.4.2.1LAMEA CT Scan Market by Country
    • 9.4.2.2LAMEA MRI Market by Country
    • 9.4.2.3LAMEA Ultrasound Market by Country
    • 9.4.2.4LAMEA X-rays Market by Country
    • 9.4.2.5LAMEA Nuclear Imaging Market by Country
  • 9.4.3LAMEA AI In Medical Imaging Market by End-use
    • 9.4.3.1LAMEA Hospitals Market by Country
    • 9.4.3.2LAMEA Diagnostic Imaging Centers Market by Country
    • 9.4.3.3LAMEA Others Market by Country
  • 9.4.4LAMEA AI In Medical Imaging Market by Application
    • 9.4.4.1LAMEA Neurology Market by Country
    • 9.4.4.2LAMEA Breast Screening Market by Country
    • 9.4.4.3LAMEA Cardiology Market by Country
    • 9.4.4.4LAMEA Respiratory & Pulmonary Market by Country
    • 9.4.4.5LAMEA Orthopedics Market by Country
    • 9.4.4.6LAMEA Others Market by Country
  • 9.4.5LAMEA AI In Medical Imaging Market by Country
    • 9.4.5.1Brazil AI In Medical Imaging Market
      • 9.4.5.1.1Brazil AI In Medical Imaging Market by Technology
      • 9.4.5.1.2Brazil AI In Medical Imaging Market by Modality
      • 9.4.5.1.3Brazil AI In Medical Imaging Market by End-use
      • 9.4.5.1.4Brazil AI In Medical Imaging Market by Application
    • 9.4.5.2Argentina AI In Medical Imaging Market
      • 9.4.5.2.1Argentina AI In Medical Imaging Market by Technology
      • 9.4.5.2.2Argentina AI In Medical Imaging Market by Modality
      • 9.4.5.2.3Argentina AI In Medical Imaging Market by End-use
      • 9.4.5.2.4Argentina AI In Medical Imaging Market by Application
    • 9.4.5.3UAE AI In Medical Imaging Market
      • 9.4.5.3.1UAE AI In Medical Imaging Market by Technology
      • 9.4.5.3.2UAE AI In Medical Imaging Market by Modality
      • 9.4.5.3.3UAE AI In Medical Imaging Market by End-use
      • 9.4.5.3.4UAE AI In Medical Imaging Market by Application
    • 9.4.5.4Saudi Arabia AI In Medical Imaging Market
      • 9.4.5.4.1Saudi Arabia AI In Medical Imaging Market by Technology
      • 9.4.5.4.2Saudi Arabia AI In Medical Imaging Market by Modality
      • 9.4.5.4.3Saudi Arabia AI In Medical Imaging Market by End-use
      • 9.4.5.4.4Saudi Arabia AI In Medical Imaging Market by Application
    • 9.4.5.5South Africa AI In Medical Imaging Market
      • 9.4.5.5.1South Africa AI In Medical Imaging Market by Technology
      • 9.4.5.5.2South Africa AI In Medical Imaging Market by Modality
      • 9.4.5.5.3South Africa AI In Medical Imaging Market by End-use
      • 9.4.5.5.4South Africa AI In Medical Imaging Market by Application
    • 9.4.5.6Nigeria AI In Medical Imaging Market
      • 9.4.5.6.1Nigeria AI In Medical Imaging Market by Technology
      • 9.4.5.6.2Nigeria AI In Medical Imaging Market by Modality
      • 9.4.5.6.3Nigeria AI In Medical Imaging Market by End-use
      • 9.4.5.6.4Nigeria AI In Medical Imaging Market by Application
    • 9.4.5.7Rest of LAMEA AI In Medical Imaging Market
      • 9.4.5.7.1Rest of LAMEA AI In Medical Imaging Market by Technology
      • 9.4.5.7.2Rest of LAMEA AI In Medical Imaging Market by Modality
      • 9.4.5.7.3Rest of LAMEA AI In Medical Imaging Market by End-use
      • 9.4.5.7.4Rest of LAMEA AI In Medical Imaging Market by Application

Chapter 10.Company Profiles

• 10.1Siemens Healthineers AG (Siemens AG)
  • 10.1.1Company Overview
  • 10.1.2Financial Analysis
  • 10.1.3Segmental and Regional Analysis
  • 10.1.4Research & Development Expense
  • 10.1.5Recent strategies and developments:
    • 10.1.5.1Partnerships, Collaborations, and Agreements:
    • 10.1.5.2Product Launches and Product Expansions:
    • 10.1.5.3Acquisition and Mergers:
  • 10.1.6SWOT Analysis
• 10.2GE HealthCare Technologies, Inc.
  • 10.2.1Company Overview
  • 10.2.2Financial Analysis
  • 10.2.3Segmental and Regional Analysis
  • 10.2.4Research & Development Expenses
  • 10.2.5SWOT Analysis
• 10.3Koninklijke Philips N.V.
  • 10.3.1Company Overview
  • 10.3.2Financial Analysis
  • 10.3.3Segmental and Regional Analysis
  • 10.3.4Research & Development Expense
  • 10.3.5Recent strategies and developments:
    • 10.3.5.1Partnerships, Collaborations, and Agreements:
    • 10.3.5.2Product Launches and Product Expansions:
  • 10.3.6SWOT Analysis
• 10.4Fujifilm Holdings Corporation
  • 10.4.1Company Overview
  • 10.4.2Financial Analysis
  • 10.4.3Segmental and Regional Analysis
  • 10.4.4Research & Development Expenses
  • 10.4.5Recent strategies and developments:
    • 10.4.5.1Partnerships, Collaborations, and Agreements:
    • 10.4.5.2Product Launches and Product Expansions:
    • 10.4.5.3Business Expansions:
  • 10.4.6SWOT Analysis
• 10.5Agfa-Gevaert NV
  • 10.5.1Company Overview
  • 10.5.2Financial Analysis
  • 10.5.3Segmental and Regional Analysis
  • 10.5.4Research & Development Expenses
  • 10.5.5Recent strategies and developments:
    • 10.5.5.1Partnerships, Collaborations, and Agreements:
  • 10.5.6SWOT Analysis
• 10.6Microsoft Corporation
  • 10.6.1Company Overview
  • 10.6.2Financial Analysis
  • 10.6.3Segmental and Regional Analysis
  • 10.6.4Research & Development Expenses
  • 10.6.5Recent strategies and developments:
    • 10.6.5.1Partnerships, Collaborations, and Agreements:
    • 10.6.5.2Acquisition and Mergers:
  • 10.6.6SWOT Analysis
• 10.7Intel Corporation
  • 10.7.1Company Overview
  • 10.7.2Financial Analysis
  • 10.7.3Segmental and Regional Analysis
  • 10.7.4Research & Development Expenses
  • 10.7.5Recent strategies and developments:
    • 10.7.5.1Partnerships, Collaborations, and Agreements:
    • 10.7.5.2Acquisition and Mergers:
  • 10.7.6SWOT Analysis
• 10.8NVIDIA Corporation
  • 10.8.1Company Overview
  • 10.8.2Financial Analysis
  • 10.8.3Segmental and Regional Analysis
  • 10.8.4Research & Development Expenses
  • 10.8.5Recent strategies and developments:
    • 10.8.5.1Partnerships, Collaborations, and Agreements:
    • 10.8.5.2Product Launches and Product Expansions:
  • 10.8.6SWOT Analysis
• 10.9Zebra Technologies Corporation
  • 10.9.1Company Overview
  • 10.9.2Financial Analysis
  • 10.9.3Regional & Segmental Analysis
  • 10.9.4Research & Development Expenses
  • 10.9.5Recent strategies and developments:
    • 10.9.5.1Acquisition and Mergers:
  • 10.9.6SWOT Analysis
• 10.10.Google LLC (Alphabet Inc.)
  • 10.10.1Company Overview
  • 10.10.2Financial Analysis
  • 10.10.3Segmental and Regional Analysis
  • 10.10.4Research & Development Expense
  • 10.10.5Recent strategies and developments:
    • 10.10.5.1Partnerships, Collaborations, and Agreements:
    • 10.10.5.2Product Launches and Product Expansions:
  • 10.10.6SWOT Analysis

Chapter 11.Winning Imperatives of AI In Medical Imaging Market