AI医疗图像解决方案市场报告：2030 年趋势、预测与竞争分析

支援人工智慧的医疗图像解决方案的趋势和预测

预计到 2030 年，全球人工智慧医疗图像解决方案市场将达到 57 亿美元，2024 年至 2030 年复合年增长率为 15.4%。该市场的主要驱动因素是人们对慢性病早期诊断的认识不断提高、政府加大采用人工智慧技术的倡议以及医疗保健行业的持续技术进步。全球人工智慧医疗图像解决方案市场的未来看起来充满希望，专业和普通成像市场也充满机会。

• Lucintel 预测，在医疗器材类别中，X 光预计将在预测期内达到最高成长。
• 从应用来看，专业影像仍然是最大的部分。
• 从地区来看，由于先进医疗技术的日益采用和主要市场参与者的存在，预计北美在预测期内仍将是最大的地区。

人工智慧医疗图像解决方案市场的策略性成长机会

人工智慧医疗图像中的约束洩漏具有地理分布。这显示人工智慧医疗图像解决方案市场有大量机会渗透到不同的应用领域。这些机会反映了人工智慧技术在医疗保健领域日益增长的影响力以及这些技术可以解决的医学影像领域的具体差距。

• 基于人工智慧的诊断解决方案：开发人工智慧辅助诊断设备的机会正在出现，这些设备可以改善影像解释并指导决策。在医疗保健领域对更好的服务提供的需求不断增加的情况下，此类解决方案有可能提高诊断品质并减轻放射科医生的负担。
• 远端成像服务：在远端医疗时代，远端成像解决方案解决了很大程度上开拓的市场。透过人工智慧，可以轻鬆解读远距离拍摄的影像，从而改善医疗服务并增加无需亲自前往医疗机构即可治疗患者的可能性。
• 与健康资讯系统 (HIS) 的连接：将人工智慧支援的影像处理系统纳入 HIS 可以改善工作流程和服务交付品质。这种整合促进了资讯共用并提高了监控患者治疗和病历的能力。
• 精准医疗中的人工智慧：因此，为患者量身定制的医疗变得实用化和可用。将软体应用于诊断影像技术和患者资料的技术分析可以实现每位患者的个人化治疗并提高医疗保健效率。
• 推动即时影像诊断的发展：透过创建可进行即时视讯影像调查的AI工具，可以实现更准确、更有效率的管理。这些进步对于外科和创伤学至关重要，因为有效的患者照护需要快速评估。

确定的发展领域有助于定义人工智慧医疗图像解决方案的未来，产生创新并增强各领域的医疗保健服务交付。

人工智慧医疗图像解决方案市场的驱动因素与挑战

各种因素正在推动人工智慧医疗图像解决方案市场的发展，同时也带来了挑战。这些因素包括技术发展、经济困难和影响市场的法律政策。这些因素将决定医学影像处理系统的人工智慧组件如何开发和实施，最终塑造未来的诊断和治疗医疗系统。

推动人工智慧医疗图像解决方案市场的因素包括：

• 技术进步：主要驱动力是人工智慧和机器学习技术的改进，可以实现更准确、更快速的影像分析。这些技术增强了诊断过程并简化了医学影像体验，提高了患者满意度并促进了人工智慧解决方案的使用。
• 对可靠诊断的需求不断增加：开发及时、准确的诊断设备的压力越来越大。人工智慧诊断影像系统属于此类别，因为它们支援有效的诊断并降低误诊的风险。
• 新的医疗保健产业创新资金筹措：政府和私营部门增加对创新医疗保健解决方案的资助将支持更好、更先进的人工智慧影像处理系统的开发。这笔资金支持将加速医学影像的研发和新技术的引进。
• 与其他医疗保健技术整合：一些人工智慧影像解决方案远端医疗服务和电子健康记录(EHR)。这种整合改善了资讯流，最大限度地减少诊断错误并改善患者照护。
• 医疗资料量不断增加：各种资讯来源的医疗资料量不断增加，为人工智慧的训练提供了坚实的基础。大型且多样化的资料集对于提高自动成像系统的功能和准确性以及增强其利用率和开发至关重要。

人工智慧医疗图像解决方案市场面临的挑战包括：

• 资料隐私和安全问题：医学影像资料的敏感度使得资料隐私和安全成为一个关键问题。为了加速人工智慧解决方案的使用，必须优先考虑法规遵循和患者资讯保护。
• 开发成本高：研究、开发和部署人工智慧成像解决方案的相关成本是一个障碍。这些成本包括研发、技术整合和基础设施开发，这对于某些医疗保健系统来说可能无法负担。
• 法律和道德挑战：遵守法律规范和审查医疗设备法规非常复杂。地区监管差异可能会阻碍人工智慧技术在医学影像处理领域的核准和使用，从而阻碍市场成长。

目录

第一章执行摘要

第二章全球人工智慧医疗图像解决方案市场：市场动态

• 简介、背景、分类
• 供应链
• 产业驱动因素与挑战

第三章 2018-2030年市场趋势及预测分析

• 宏观经济趋势（2018-2023）与预测（2024-2030）
• 全球人工智慧医疗图像解决方案市场趋势（2018-2023）和预测（2024-2030）
• 按模式分類的人工智慧医疗图像解决方案的全球市场
  • 电脑断层扫描 (CT)
  • 磁振造影 (MR)
  • X射线
  • 超音波
  • 乳房X光照相术
  • 多重模式成像系统
  • 其他的
• 按产品分類的人工智慧医疗图像解决方案的全球市场
  • 软体
  • 硬体
• 按应用分類的人工智慧医疗图像解决方案的全球市场
  • 特别形象
  • 常见影像

第四章 2018-2030年区域市场趋势及预测分析

• 按地区分類的人工智慧医疗图像解决方案市场
• 北美人工智慧医疗图像解决方案市场
• 欧洲人工智慧医疗图像解决方案市场
• 亚太地区人工智慧医疗图像解决方案市场
• 其他地区人工智慧医疗图像解决方案市场

第五章 竞争分析

• 产品系列分析
• 营运整合
• 波特五力分析

第六章 成长机会与策略分析

• 成长机会分析
  • 全球人工智慧医疗图像解决方案市场成长机会（按模式）
  • 全球人工智慧医疗图像解决方案市场成长机会（按产品）
  • 全球人工智慧医疗图像解决方案市场成长机会（按应用）
  • 全球人工智慧医疗图像解决方案市场成长机会（按地区）
• 全球人工智慧医疗图像解决方案市场的新兴趋势
• 战略分析
  • 新产品开发
  • 全球人工智慧医疗图像解决方案市场的产能扩张
  • 全球人工智慧医疗图像解决方案市场的合併、收购和合资企业
  • 认证和许可

第七章主要企业概况

• 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