한글목차

AI 기반 의료 영상 솔루션 동향 및 전망

세계 AI 기반 의료 영상 솔루션 시장은 2024년부터 2030년까지 15.4%의 연평균 성장률(CAGR)을 기록하며 2030년까지 약 57억 달러에 달할 것으로 예상됩니다. 이 시장의 주요 촉진요인은 만성질환의 조기 진단에 대한 인식 증가, AI 기반 기술 도입에 대한 정부의 노력 증가, 헬스케어 산업의 지속적인 기술 발전입니다. 세계 AI 기반 의료 영상 솔루션 시장의 미래는 특수 영상 시장과 일반 영상 시장에 기회가 있으며 유망한 것으로 보입니다.

• Lucintel의 예측에 따르면, X선 분야는 예측 기간 동안 가장 높은 성장률을 보일 것으로 예상됩니다.
• 용도별로는 특수 이미지가 가장 큰 부문을 차지하고 있습니다.
• 지역별로 보면 북미는 첨단 헬스케어 기술 도입이 활발하고 주요 시장 기업이 존재하기 때문에 예측 기간 동안 가장 큰 지역으로 남을 것으로 보입니다.

AI 기반 의료 영상 솔루션 시장의 전략적 성장 기회

AI 기반 의료 영상 제약사항 유출은 지리적 분포를 보이고 있습니다. 이는 AI 기반 의료 영상 솔루션 시장이 다양한 애플리케이션에 침투할 수 있는 수많은 기회를 가지고 있음을 보여줍니다. 이러한 기회는 의료 분야에서 AI 기술의 영향력이 커지고 있으며, 이러한 기술이 해결할 수 있는 의료 영상 진단의 특정 격차를 반영하고 있습니다.

• AI 기반 진단 솔루션 : 영상 판독의 질을 향상시키고 의사결정에 도움을 줄 수 있는 AI 지원 진단 장비를 개발할 수 있는 기회가 생기고 있습니다. 헬스케어 분야에서 더 나은 서비스 제공에 대한 수요가 증가하고 있는 가운데, 이러한 솔루션은 진단의 질을 높이고 영상의학과 의사의 업무 부담을 줄일 수 있습니다.
• 원격 영상 진단 서비스 : 원격의료 시대에 원격 영상 진단 솔루션은 거의 미개척 시장으로, AI를 통해 원격에서 촬영한 이미지를 쉽게 해석할 수 있어 의료 서비스를 개선하고, 물리적으로 의료기관을 방문하지 않고도 환자를 치료할 수 있는 가능성을 높일 수 있습니다. 치료할 수 있는 가능성을 높일 수 있습니다.
• 의료정보 시스템(HIS)과의 연결 : AI 지원 영상처리 시스템을 HIS에 통합하여 워크플로우 프로세스와 서비스 제공의 질을 향상시킬 수 있습니다. 이러한 통합은 정보 공유를 용이하게 하고 환자의 치료와 병력을 모니터링하는 능력을 향상시킵니다.
• 정밀의료의 AI : 그 결과, 환자 맞춤형 의료가 실용화되어 이용이 가능해졌습니다. 영상 진단 기술과 환자 데이터의 기술적 분석에 소프트웨어를 적용하면 환자별 맞춤 치료가 가능해져 의료의 효율성을 높일 수 있습니다.
• 실시간 영상 진단의 발전 전파 : 실시간 비디오 영상 검사를 수행할 수 있는 AI 도구를 만들어 보다 정확하고 효율적인 관리를 할 수 있습니다. 이러한 발전은 효과적인 환자 치료를 위해 신속한 평가가 필요한 수술 및 외상학 분야에서 매우 중요합니다.

이러한 개발 분야는 AI 기반 의료 영상 솔루션의 미래를 정의하고, 혁신을 창출하며, 다양한 분야의 의료 서비스 제공을 강화하는 데 도움이 되고 있습니다.

AI 기반 의료 영상 솔루션 시장 활성화 요인 및 과제

다양한 요인들이 AI 기반 의료 영상 솔루션 시장을 촉진하는 동시에 도전과제를 제시하고 있습니다. 이러한 요인에는 기술적 성장, 경제적 어려움, 시장에 영향을 미치는 법적 정책 등이 포함됩니다. 이러한 요인들은 의료 영상 처리 시스템의 AI 구성요소가 개발 및 구현되는 방식을 규정하며, 궁극적으로 진단 및 치료와 관련된 미래의 의료 시스템을 형성할 것입니다.

AI 기반 의료 영상 솔루션 시장을 촉진하는 요인은 다음과 같습니다.

• 기술 발전 : 주요 촉진요인은 보다 정확하고 빠른 이미지 분석을 가능하게 하는 AI 및 머신러닝 기술의 발전입니다. 이러한 기술은 진단 프로세스를 강화하고 의료 영상 경험을 간소화하여 환자 만족도를 높이고 AI 솔루션 사용을 촉진합니다.
• 신뢰도 높은 진단에 대한 수요 증가 : 적시에 정확한 진단 기기 개발에 대한 압력이 증가하고 있으며, AI 영상 진단 시스템은 효과적인 진단을 돕고 오진 위험을 줄일 수 있기 때문에 이 범주에 속합니다.
• 혁신을 위한 헬스케어 부문의 새로운 자금 조달 : 혁신적인 헬스케어 솔루션에 대한 정부 및 민간 부문의 자금 지원 증가는 보다 개선된 고급 AI 영상 처리 시스템 개발을 지원할 것입니다. 이 자금 지원은 의료 영상 진단의 연구 개발, 신기술 도입에 박차를 가할 것입니다.
• 다른 헬스케어 기술과의 통합 : 일부 AI 영상 솔루션은 원격의료 서비스, 전자 의료 기록(EHR) 등 다른 기술과 함께 사용할 수 있는 솔루션도 등장하고 있습니다. 이러한 통합을 통해 정보 흐름을 개선하고 진단 오류를 최소화하며 환자 치료를 개선할 수 있습니다.
• 헬스케어 데이터 양의 확대 : 다양한 출처의 헬스케어 데이터 양의 증가는 AI를 훈련시키기 위한 탄탄한 기반이 됩니다. 대규모의 다양한 데이터세트는 자동 영상 진단 시스템의 능력과 정확도를 향상시키고, 그 활용과 개발을 강화하는 데 필수적입니다.

AI 기반 의료 영상 솔루션 시장의 도전과제는 다음과 같습니다.

• 데이터 프라이버시 및 보안 문제 : 의료 영상 데이터는 기밀성이 높기 때문에 데이터 프라이버시 및 보안이 중요한 과제이며, AI 솔루션의 활용을 촉진하기 위해서는 규제 준수 및 환자 정보 보호를 우선시해야 합니다.
• 높은 개발 비용 : AI 기반 영상 솔루션의 연구, 개발 및 도입과 관련된 비용이 장벽이 될 수 있습니다. 이러한 비용에는 연구개발, 기술 통합, 인프라 구축 등이 포함되며, 일부 의료 시스템에서는 감당할 수 없는 수준일 수 있습니다.
• 법적, 윤리적 문제 : 규제 프레임워크 준수와 의료기기 규제에 대한 면밀한 검토는 복잡합니다. 지역별 규제 차이로 인해 의료 영상 처리에서 AI 기술의 승인과 사용을 방해하고 시장 성장을 저해할 수 있습니다.

목차

제1장 주요 요약

제2장 세계의 AI 기반 의료 영상 솔루션 시장 : 시장 역학

• 소개, 배경, 분류
• 공급망
• 업계 성장 촉진요인과 과제

제3장 2018년부터 2030년까지 시장 동향과 예측 분석

• 거시경제 동향(2018-2023년)과 예측(2024-2030년)
• 세계의 AI 기반 의료 영상 솔루션 시장 동향(2018-2023)과 예측(2024-2030)
• 모달리티별 AI 기반 의료 영상 솔루션 세계 시장
  • 컴퓨터 단층촬영(CT)
  • 자기 공명(MR)
  • X선
  • 초음파
  • 맘모그래피
  • 멀티 모달리티 영상 시스템
  • 기타
• 제품별 AI 기반 의료 영상 솔루션 세계 시장
  • 소프트웨어
  • 하드웨어
• 용도별 AI 기반 의료 영상 솔루션 세계 시장
  • 특수 영상
  • 일반적인 영상

제4장 2018년부터 2030년까지 지역별 시장 동향과 예측 분석

• 지역별 AI 기반 의료 영상 솔루션 시장
• 북미의 AI 기반 의료 영상 솔루션 시장
• 유럽의 AI 기반 의료 영상 솔루션 시장
• 아시아태평양 AI 기반 의료 영상 솔루션 시장
• 기타 지역 AI 기반 의료 영상 솔루션 시장

제5장 경쟁 분석

• 제품 포트폴리오 분석
• 운영 통합
• Porter's Five Forces 분석

제6장 성장 기회와 전략 분석

• 성장 기회 분석
  • 모달리티별 세계의 AI 기반 의료 영상 솔루션 시장 성장 기회
  • 제품별 세계의 AI 기반 의료 영상 솔루션 시장 성장 기회
  • 용도별 세계의 AI 기반 의료 영상 솔루션 시장 성장 기회
  • 지역별 세계의 AI 기반 의료 영상 솔루션 시장 성장 기회
• 세계의 AI 기반 의료 영상 솔루션 시장의 최신 동향
• 전략 분석
  • 신제품 개발
  • 세계의 AI 기반 의료 영상 솔루션 시장 능력 확대
  • 세계의 AI 기반 의료 영상 솔루션 시장 합병, 인수, 합작투자
  • 인증과 라이선싱

제7장 주요 기업 개요

• Agfa-Gevaert Group
• Aidoc
• Blackford Analysis
• Butterfly Network
• Canon
• Caption Health
• Carestream Health

영문목차

AI-Enabled Medical Imaging Solutions Trends and Forecast

The future of the global AI-enabled medical imaging solutions market looks promising with opportunities in the specialty imaging and general imaging markets. The global AI-enabled medical imaging solutions market is expected to reach an estimated $5.7 billion by 2030 with a CAGR of 15.4% from 2024 to 2030. The major drivers for this market are the growing awareness regarding early diagnosis of chronic disorders, increasing government initiatives towards the adoption of AI-based technologies, and ongoing technological advancements in the healthcare industry.

• Lucintel forecasts that, within the modality category, X-ray segment is expected to witness the highest growth over the forecast period.
• Within the application category, specialty imaging will remain the largest segment.
• In terms of regions, North America will remain the largest region over the forecast period due to growing adoption of advanced healthcare technology and presence of large market players in the region.

Gain valuable insights for your business decisions with our comprehensive 150+ page report.

Emerging Trends in the AI-Enabled Medical Imaging Solutions Market

The landscape for AI-enabled medical imaging solutions is changing, and new trends are emerging. These trends display the widening use of AI technologies and their enhanced sophistication.

• Integration with Machinery: When it comes to imaging and surgery, AI is increasingly fused with various robotic machines. This combination increases accuracy and decreases human error, resulting in better patient care and enhanced streamlining of processes.
• Demand for Remote Imaging: Telemedicine has spurred interest in remote imaging solutions. Imaging activities become more efficient with the use of AI techniques, allowing images to be studied from any distance, thus changing perceptions about inaccessible health services, which usually make it difficult to manage chronic conditions.
• Development of Customized Imaging Market Solutions: With the emergence of AI, tuning various imaging modality features learned from patient data demographics becomes possible. This improves the quality of diagnosis and planning for both non-surgical and surgical interventions, ensuring that all patients receive the most appropriate treatment.
• On-Demand Image Analysis: Real-time image interpretation is now touted as the latest milestone in AI-based developments. Instead of conducting imaging procedures and awaiting results, patients receive diagnoses during different operations. This enhances operational effectiveness and patient-centeredness, which is vital for avoiding poor surgical outcomes or emergency care.
• Enhanced Data Security: With the growing application of AI in medical imaging, data protection and confidentiality are becoming increasingly paramount. AI solutions are designed with greater security features and integrations to ensure that sensitive patient information is safeguarded and compliant with the law.

These trends are transforming the AI-enabled medical imaging solutions industry by spurring the growth of new solutions that improve healthcare delivery, enhance the patient experience, and address emerging problems within the healthcare system.

Recent Developments in the AI-Enabled Medical Imaging Solutions Market

The AI-enabled medical imaging solutions have also seen significant changes that are reshaping healthcare diagnosis and treatment in the solutions market. These changes show that developments are incorporating artificial intelligence technology into medical imaging.

• Advanced AI Algorithms: Recently, one of the key accomplishments is the introduction of advanced AI algorithms that play a role in improving image analysis. Specifically, these algorithms are very effective in enhancing images and assisting radiologists with more accurate diagnostic aid, reducing diagnosis errors and improving diagnostic performance.
• FDA Approvals for AI Tools: Recent developments include the introduction of new AI-based tools that are now accepted for use by the FDA. Such approvals enhance confidence in the use of AI technologies and promote the integration of such technologies into medical practice.
• Inclusion of AI in Imaging Devices: The use of artificial intelligence integrated into most imaging devices is gaining traction. This integration enables the assessment of images as they are captured and provides a diagnosis immediately, thus optimizing workflows and enhancing results.
• Use of AI in Early Disease Detection: AI technologies are increasingly deployed in the healthcare environment for the early detection of ailments, such as cancer and cardiovascular diseases. This development allows for prompt treatment and management of diseases, increasing the chances of good clinical outcomes and reducing the financial burden on healthcare systems.
• Growth of AI Development in Medicine: There are strong market trends for increased expenditures on AI development in imaging. Additionally, synergies between technology companies and healthcare systems lead to the advancement of AI methods in analysis, propelling current imaging technology forward.

These developments improve the functionality of AI-based medical imaging products, resulting in higher diagnostic success rates and transforming clinical practices.

Strategic Growth Opportunities for AI-Enabled Medical Imaging Solutions Market

There is a geographic distribution of AI-enabled medical imaging constraints Leakage. This indicates that the AI-enabled medical imaging solutions market has numerous opportunities for penetration in diverse usages. Such opportunities reflect the growing influence of AI technologies in healthcare and the specific gaps in medical imaging that these technologies can address.

• AI-Based Diagnostic Solutions: There is an emerging opportunity to create AI-aided diagnostic instruments that improve the quality of imaging interpretation and guide decision-making. These solutions may enhance diagnosis quality and lessen the burden on radiologists at a time when there is an increasing demand for better service delivery in healthcare.
• Teleimaging Services: In the era of telehealth, teleimaging solutions address a largely untapped market. With AI, it is easier to interpret images taken from a distance, thus improving healthcare services and increasing the chances of treating patients without physically visiting a healthcare institution.
• Connection with Health Information Systems (HIS): Incorporating AI-supported imaging systems within HIS can enhance workflow processes and the quality of service delivery. This integration makes it easy to share information and improves the capacity to monitor patient treatment and history.
• AI in Precision Medicine: As a result, medicine tailored to patients is becoming practical and available. The software can be applied in imaging techniques and the technological analysis of patient data to frame procedures specific to each patient, thus improving healthcare efficiency.
• Propagation of Developments in Real-Time Imaging: More accurate and efficient administrations can be achieved by creating AI tools capable of performing live video imaging investigations. Such advancements are crucial in surgeries and traumatology, where rapid assessments are necessary for effective patient care.

The identified areas of development are helping define the future of AI-enabled medical imaging solutions, generate innovations, and enhance health service provision across a wide range of areas.

AI-Enabled Medical Imaging Solutions Market Driver and Challenges

Different factors drive the market for AI-enabled medical imaging solutions while also presenting challenges. Such factors include technological growth, economic hardship, and legal policies that affect the market. These factors define how the AI components of medical imaging systems will be developed and implemented, ultimately shaping future health systems of diagnosis and therapy.

The factors driving the AI-enabled medical imaging solutions market include:

• Technological Advancements: A primary driver is the improvement of AI and machine learning technologies, which allow for more precise and quicker image analysis. These technologies enhance diagnostic processes and streamline the medical imaging experience, increasing patient satisfaction and promoting the use of AI solutions.
• Growing Demand for Reliable Diagnosis: The pressure for developing diagnostic instruments that are both timely and precise is mounting. AI imaging systems fit into this category as they assist in effective diagnosis and reduce the risks of misdiagnosis.
• Emerging Healthcare Sector Funding for Innovation: Increased funding from government and private sectors for innovative healthcare solutions aids in creating improved and advanced AI imaging systems. This funding accelerates research, development, and the introduction of new technologies in medical imaging.
• Integration with Other Healthcare Technologies: Some AI imaging solutions can now be used alongside other technologies, including telehealth services and electronic health records (EHRs). This integration allows for better information flow, minimizes diagnostic errors, and enhances patient care.
• Expansion of Healthcare Data Volume: The increasing volume of healthcare data from various sources provides a solid foundation for training AIs. Large and diverse datasets are essential for improving the capabilities and accuracy of automated imaging systems, thus enhancing their use and development.

Challenges in the AI-enabled medical imaging solutions market include:

• Concerns About Data Privacy and Security: Medical imaging data can be sensitive, making data privacy and security significant challenges. Regulatory compliance and patient information protection must be prioritized to facilitate the use of AI solutions.
• High Development Costs: The costs associated with research, development, and implementation of AI-augmented imaging solutions pose barriers. These costs include research and development, technological integration, and infrastructure, which some healthcare systems may find unaffordable.
• Legal and Ethical Challenges: Complying with regulatory frameworks and the scrutiny of medical device regulations is cumbersome. Differences in regulations across geographical areas can hinder the approval and use of AI technologies in medical imaging, stifling market growth.

The drivers and challenges in the AI-enabled medical imaging solutions market depict a changing environment influenced by technology, regulatory landscapes, and economic pressures. These drivers should be leveraged while addressing the challenges to ensure sustainable growth in AI use within medical imaging.

List of AI-Enabled Medical Imaging Solutions Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies AI-enabled medical imaging solutions companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI-enabled medical imaging solutions companies profiled in this report include-

• Agfa-Gevaert Group
• Aidoc
• Blackford Analysis
• Butterfly Network
• Canon
• Caption Health
• Carestream Health

AI-Enabled Medical Imaging Solutions by Segment

The study includes a forecast for the global AI-enabled medical imaging solutions by modality, product, application, and region.

AI-Enabled Medical Imaging Solutions Market by Modality [Analysis by Value from 2018 to 2030]:

• Computed Tomography (CT)
• Magnetic Resonance (MR)
• X-Ray
• Ultrasound
• Mammography
• Multimodality Imaging Systems
• Others

AI-Enabled Medical Imaging Solutions Market by Product [Analysis by Value from 2018 to 2030]:

• Software
• Hardware

AI-Enabled Medical Imaging Solutions Market by Application [Analysis by Value from 2018 to 2030]:

• Specialty Imaging
• General Imaging

AI-Enabled Medical Imaging Solutions Market by Region [Analysis by Value from 2018 to 2030]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the AI-Enabled Medical Imaging Solutions Market

The AI-enabled medical imaging solutions industry has significantly expanded in major global markets due to technological factors such as emerging artificial intelligence technologies in healthcare. These developments highlight the increasing incorporation of AI into solution systems to enhance diagnostic efficacy, streamline workflow management, and improve overall patient care quality. Here are some recent developments in this area, particularly in the United States, China, Germany, India, and Japan.

• United States: In the U.S., recent developments by the FDA have facilitated the introduction of new AI-powered imaging technologies for assessing diseases such as breast and eye conditions. Large technology companies and healthcare corporations are investing heavily in AI research, particularly in image enhancement and imaging analytics. Tech-health initiatives are spreading, with healthcare scholars teaming up with technology corporations.
• China: China has made significant achievements, primarily driven by government support for AI activities, particularly the integration of AI in medical imaging. Recently, novel AI algorithms have been developed to facilitate earlier disease detection and enhance imaging analysis. Chinese companies are also utilizing AI solutions in hospices, supported by newly established AI and scientific research labs, thus improving the accuracy and efficiency of health systems throughout China.
• Germany: The presence of prominent healthcare research institutions and partnerships with tech companies has propelled the development of German AI in mobile imaging solutions. AI features for medical images are becoming integral to clinical settings, enhancing patient care through improved imaging and diagnosis. German companies are employing AI algorithms to enhance imaging and processing, benefiting from the country's well-established healthcare system.
• India: In India, the adoption of AI in medical imaging is rapidly growing, with numerous startups and research organizations developing various applications. Recent innovations include AI-based diagnostics and tele imaging focused on improving early disease detection and healthcare accessibility. Both national and local governments, along with the private sector, are investing in AI to enhance imaging processes and healthcare across the country.
• Japan: Japan is leveraging its existing technological infrastructure to advance its AI-enabled medical imaging technologies. AI systems for real-time image analysis and integration with surgical robotics have recently emerged. Many of these initiatives involve collaborations with foreign partners aimed at developing and deploying AI technologies for healthcare diagnosis and management.

Features of the Global AI-Enabled Medical Imaging Solutions Market

Market Size Estimates: Ai-enabled medical imaging solutions market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Ai-enabled medical imaging solutions market size by various segments, such as by product, application, and region in terms of value ($B).

Regional Analysis: Ai-enabled medical imaging solutions market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different products, applications, and regions for the AI-enabled medical imaging solutions market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI-enabled medical imaging solutions market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

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This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the AI-enabled medical imaging solutions market by modality (computed tomography (CT), magnetic resonance (MR), X-ray, ultrasound, mammography, multimodality imaging systems, and others), product (software and hardware), application (specialty imaging and general imaging)and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global AI-Enabled Medical Imaging Solutions Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

• 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
• 3.2. Global AI-Enabled Medical Imaging Solutions Market Trends (2018-2023) and Forecast (2024-2030)
• 3.3: Global AI-Enabled Medical Imaging Solutions Market by Modality
  • 3.3.1: Computed Tomography (CT)
  • 3.3.2: Magnetic Resonance (MR)
  • 3.3.3: X-Ray
  • 3.3.4: Ultrasound
  • 3.3.5: Mammography
  • 3.3.6: Multimodality Imaging Systems
  • 3.3.7: Others
• 3.4: Global AI-Enabled Medical Imaging Solutions Market by Product
  • 3.4.1: Software
  • 3.4.2: Hardware
• 3.5: Global AI-Enabled Medical Imaging Solutions Market by Application
  • 3.5.1: Specialty Imaging
  • 3.5.2: General Imaging

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

• 4.1: Global AI-Enabled Medical Imaging Solutions Market by Region
• 4.2: North American AI-Enabled Medical Imaging Solutions Market
  • 4.2.1: North American AI-Enabled Medical Imaging Solutions Market by Modality: Computed Tomography, Magnetic Resonance, X-Ray, Ultrasound, Mammography, Multimodality Imaging Systems, and Others
  • 4.2.2: North American AI-Enabled Medical Imaging Solutions Market by Application: Specialty Imaging and General Imaging
• 4.3: European AI-Enabled Medical Imaging Solutions Market
  • 4.3.1: European AI-Enabled Medical Imaging Solutions Market by Modality: Computed Tomography, Magnetic Resonance, X-Ray, Ultrasound, Mammography, Multimodality Imaging Systems, and Others
  • 4.3.2: European AI-Enabled Medical Imaging Solutions Market by Application: Specialty Imaging and General Imaging
• 4.4: APAC AI-Enabled Medical Imaging Solutions Market
  • 4.4.1: APAC AI-Enabled Medical Imaging Solutions Market by Modality: Computed Tomography, Magnetic Resonance, X-Ray, Ultrasound, Mammography, Multimodality Imaging Systems, and Others
  • 4.4.2: APAC AI-Enabled Medical Imaging Solutions Market by Application: Specialty Imaging and General Imaging
• 4.5: ROW AI-Enabled Medical Imaging Solutions Market
  • 4.5.1: ROW AI-Enabled Medical Imaging Solutions Market by Modality: Computed Tomography, Magnetic Resonance, X-Ray, Ultrasound, Mammography, Multimodality Imaging Systems, and Others
  • 4.5.2: ROW AI-Enabled Medical Imaging Solutions Market by Application: Specialty Imaging and General Imaging

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global AI-Enabled Medical Imaging Solutions Market by Modality
  • 6.1.2: Growth Opportunities for the Global AI-Enabled Medical Imaging Solutions Market by Product
  • 6.1.3: Growth Opportunities for the Global AI-Enabled Medical Imaging Solutions Market by Application
  • 6.1.4: Growth Opportunities for the Global AI-Enabled Medical Imaging Solutions Market by Region
• 6.2: Emerging Trends in the Global AI-Enabled Medical Imaging Solutions Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global AI-Enabled Medical Imaging Solutions Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI-Enabled Medical Imaging Solutions Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: Agfa-Gevaert Group
• 7.2: Aidoc
• 7.3: Blackford Analysis
• 7.4: Butterfly Network
• 7.5: Canon
• 7.6: Caption Health
• 7.7: Carestream Health