AIイネーブル医用画像ソリューション市場レポート：2030年までの動向、予測、競合分析

AIイネーブル医用画像ソリューションの動向と予測

世界のAIイネーブル医用画像ソリューション市場は、2024年から2030年までのCAGRが15.4%で、2030年までに推定57億米ドルに達すると予測されます。この市場の主な促進要因は、慢性疾患の早期診断に関する意識の高まり、AIベースの技術導入に向けた政府の取り組みの増加、ヘルスケア業界における継続的な技術進歩です。世界のAIイネーブル医用画像ソリューション市場の将来は、特殊画像市場と一般画像市場に機会があり、有望視されています。

• Lucintelの予測では、モダリティカテゴリーでは、X線分野が予測期間中に最も高い成長を遂げる見込みです。
• アプリケーション別では、特殊画像が最大セグメントであり続ける。
• 地域別では、北米は先進ヘルスケア技術の導入が進んでいることと、大手市場プレイヤーの存在により、予測期間中も最大地域であり続けると思われます。

AIイネーブル医用画像ソリューション市場の戦略的成長機会

AIイネーブル医用画像の制約漏洩には地理的な分布があります。このことは、AIイネーブル医用画像ソリューション市場が多様な用途に浸透する数多くの機会を有していることを示しています。このような機会は、ヘルスケアにおけるAI技術の影響力の高まりと、これらの技術が対処できる医療画像診断における特定のギャップを反映しています。

• AIベースの診断ソリューション：画像判読の質を向上させ、意思決定を導くAI支援診断機器を開発する機会が生まれています。ヘルスケアにおけるより良いサービス提供への需要が高まっている現在、こうしたソリューションは診断の質を高め、放射線科医の負担を軽減する可能性があります。
• 遠隔画像診断サービス：遠隔医療の時代において、遠隔画像診断ソリューションは、ほとんど未開拓の市場に対応しています。AIを使えば、離れた場所から撮影された画像を簡単に解釈できるため、ヘルスケア・サービスを向上させ、物理的に医療機関を訪れることなく患者を治療できる可能性を高めることができます。
• 医療情報システム（HIS）との接続：AIがサポートする画像処理システムをHISに組み込むことで、ワークフロープロセスとサービス提供の質を高めることができます。この統合により、情報の共有が容易になり、患者の治療や病歴を監視する能力が向上します。
• 精密医療におけるAI：その結果、患者に合わせた医療が実用化され、利用可能になりつつあります。画像診断技術や患者データの技術的分析にソフトウェアを応用することで、各患者に特化した処置が可能となり、ヘルスケアの効率が向上します。
• リアルタイム画像診断の発展の伝播：より正確で効率的な管理は、ライブビデオ画像調査を実行できるAIツールを作成することで達成できます。このような進歩は、効果的な患者ケアのために迅速な評価が必要な外科手術や外傷学において極めて重要です。

特定された開発分野は、AIイネーブル医用画像ソリューションの将来を定義し、イノベーションを生み出し、幅広い分野にわたる医療サービス提供を強化するのに役立っています。

AIイネーブル医用画像ソリューション市場の促進要因・課題

さまざまな要因がAIイネーブル医用画像ソリューションの市場を促進すると同時に、課題も提示しています。そうした要因には、技術的成長、経済的苦境、市場に影響を与える法的政策などがあります。これらの要因は、医療用画像処理システムのAIコンポーネントがどのように開発・実装されるかを規定し、最終的に診断と治療に関する将来の医療システムを形成します。

AIイネーブル医用画像ソリューション市場を促進する要因は以下の通り：

• 技術の進歩：主な促進要因は、より正確で迅速な画像解析を可能にするAIおよび機械学習技術の向上です。これらの技術は診断プロセスを強化し、医療画像体験を合理化することで、患者の満足度を高め、AIソリューションの利用を促進します。
• 信頼性の高い診断に対する需要の高まり：タイムリーで正確な診断機器の開発に対するプレッシャーは高まっています。AI画像診断システムは、効果的な診断を支援し、誤診のリスクを低減することから、このカテゴリーに当てはまる。
• イノベーションに向けたヘルスケアセクターの新たな資金調達：革新的なヘルスケアソリューションに対する政府および民間セクターからの資金提供の増加は、より改善された高度なAI画像処理システムの開発を支援します。この資金援助により、医療画像診断の研究開発、新技術のイントロダクションが加速されます。
• 他のヘルスケア技術との統合：AI画像ソリューションの中には、遠隔医療サービスや電子カルテ（EHR）など、他のテクノロジーと併用できるものも出てきています。この統合により、情報の流れが改善され、診断ミスを最小限に抑え、患者ケアを向上させることができます。
• ヘルスケアデータ量の拡大：様々な情報源からのヘルスケア・データ量の増加は、AIを訓練するための強固な基盤となります。大規模かつ多様なデータセットは、自動画像診断システムの能力と精度を向上させ、その利用と開発を強化するために不可欠です。

AIイネーブル医用画像ソリューション市場における課題は以下の通り：

• データのプライバシーとセキュリティに関する懸念：医療画像データは機密性が高いため、データのプライバシーとセキュリティが重要な課題となります。AIソリューションの利用を促進するためには、規制コンプライアンスと患者情報保護を優先する必要があります。
• 高い開発コスト：AIを活用した画像ソリューションの研究、開発、導入に関連するコストが障壁となります。これらのコストには、研究開発、技術統合、インフラ整備などが含まれ、一部のヘルスケアシステムでは手が出せない場合もあります。
• 法的・倫理的課題：規制の枠組みへの準拠や医療機器規制の精査は煩雑です。地域による規制の違いは、医療用画像処理におけるAI技術の承認と使用を妨げ、市場の成長を阻害する可能性があります。

目次

第1章 エグゼクティブサマリー

第2章 世界のAIイネーブル医用画像ソリューション市場：市場力学

• イントロダクション、背景、分類
• サプライチェーン
• 業界の促進要因と課題

第3章 2018年から2030年までの市場動向と予測分析

• マクロ経済動向（2018～2023年）と予測（2024～2030年）
• 世界のAIイネーブル医用画像ソリューション市場の動向（2018-2023）と予測（2024-2030）
• モダリティ別AIイネーブル医用画像ソリューションの世界市場
  • コンピュータ断層撮影（CT）
  • 磁気共鳴（MR）
  • X線
  • 超音波
  • マンモグラフィー
  • マルチモダリティ画像システム
  • その他
• 製品別AIイネーブル医用画像ソリューションの世界市場
  • ソフトウェア
  • ハードウェア
• 用途別AIイネーブル医用画像ソリューションの世界市場
  • 特殊画像
  • 一般的な画像

第4章 2018年から2030年までの地域別市場動向と予測分析

• 地域別AIイネーブル医用画像ソリューション市場
• 北米のAIイネーブル医用画像ソリューション市場
• 欧州のAIイネーブル医用画像ソリューション市場
• アジア太平洋 AIイネーブル医用画像ソリューション市場
• その他地域 AIイネーブル医用画像ソリューション市場

第5章 競合分析

• 製品ポートフォリオ分析
• 運用統合
• ポーターのファイブフォース分析

第6章 成長機会と戦略分析

• 成長機会分析
  • モダリティ別の世界のAIイネーブル医用画像ソリューション市場の成長機会
  • 製品別の世界のAIイネーブル医用画像ソリューション市場の成長機会
  • 用途別の世界のAIイネーブル医用画像ソリューション市場の成長機会
  • 地域別の世界のAIイネーブル医用画像ソリューション市場の成長機会
• 世界のAIイネーブル医用画像ソリューション市場における新たな動向
• 戦略分析
  • 新製品開発
  • 世界のAIイネーブル医用画像ソリューション市場の能力拡大
  • 世界のAIイネーブル医用画像ソリューション市場における合併、買収、合弁事業
  • 認証とライセンシング

第7章 主要企業の企業プロファイル

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

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.

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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