한글목차

세계 AI 영상 진단 기기 시장의 미래는 병원 및 진료소 시장에서의 기회로 인해 유망한 것으로 평가되고 있습니다. 세계 AI 영상 진단 기기 시장은 2025-2031년 연평균 복합 성장률(CAGR) 26.5%를 보일 것으로 예측됩니다. 이 시장의 주요 촉진요인은 의료 분야의 진단 정확도와 효율성 향상에 대한 수요 증가, AI 및 머신러닝 알고리즘의 급속한 발전, AI 영상 진단 기기와 IoT 플랫폼 및 엣지 컴퓨팅 기술의 통합입니다.

• Lucintel의 예측에 따르면, 유형별로는 엑스레이 영상이 예측 기간 동안 가장 높은 성장세를 보일 것으로 예측됩니다.
• 용도별로는 병원이 여전히 큰 비중을 차지하고 있습니다.
• 지역별로는 아시아태평양이 예측 기간 동안 가장 높은 성장을 보일 것으로 예측됩니다.

AI 영상 진단 기기 시장의 전략적 성장 기회

AI 영상 진단 기기 시장은 다양한 응용 분야에서 수많은 전략적 성장 기회를 제공합니다. 이러한 분야에 집중함으로써 기업은 진화하는 트렌드를 활용하고 첨단 영상 솔루션에 대한 수요 증가에 대응할 수 있습니다.

• 의료 진단의 확장: 의료 분야는 특히 영상 진단 분야에서 AI 영상 진단 기기에 큰 성장 기회를 제공하고 있으며, AI로 강화된 도구는 진단 정확도 향상, 분석 자동화, 질병 조기 발견을 지원하여 의료진과 환자에게 큰 이점을 제공합니다.
• 스마트 감시 시스템의 성장: AI 영상 진단 기술을 탑재한 스마트 감시 시스템은 성장 시장입니다. 실시간 모니터링, 얼굴 인식, 물체 감지 등의 강화된 기능은 보안 및 감시 용도에서 높은 수요를 보이며, 기술 혁신과 시장 확대의 기회를 제공합니다.
• 자율주행차용 개발: 자율주행차용 AI 영상진단장치 개발은 주요 성장 분야입니다. 첨단 영상 진단 시스템은 자율주행차의 내비게이션, 장애물 감지, 환경 인식에 필수적이며, 자율주행차 분야의 기술 혁신과 투자를 촉진합니다.
• 증강현실(AR) 및 가상현실(VR)과의 통합: AI 영상진단 장비는 AR 및 VR 기술과 통합되고 있습니다. 이러한 통합은 시각적 경험과 상호 작용을 강화하여 보다 몰입감 있고 현실적인 환경을 제공함으로써 엔터테인먼트, 게임, 교육용 용도에 대한 성장 기회를 제공합니다.
• 가전 분야에서의 확장: 스마트폰, 카메라 등 가전제품에 AI 이미지 기술을 통합하는 것은 큰 성장 기회가 될 것입니다. 자동 이미지 보정, 얼굴 인식, 증강현실(AR) 용도 등의 기능 강화가 가전 시장 수요와 혁신을 촉진하고 있습니다.

이러한 성장 기회는 AI 영상 진단 기기 시장의 확대와 혁신을 촉진하고 있습니다. 기업들은 의료, 감시, 자율주행차, AR/VR, 소비자 가전 등의 용도에 집중함으로써 새로운 트렌드를 활용하고 다양한 시장 요구에 대응할 수 있습니다.

AI 영상 진단 기기 시장 활성화 요인 및 과제

AI 영상진단 기기 시장은 기술 발전, 고해상도 영상진단에 대한 수요 증가, 비용, 기술적 한계, 규제 문제 등의 요인에 의해 형성되고 있습니다. 이러한 시장 성장 촉진요인 및 과제를 분석함으로써 시장 역학 및 전략적 고려사항에 대한 통찰력을 얻을 수 있습니다.

AI 영상 진단 기기 시장 성장 촉진요인은 다음과 같습니다.

• AI 기술 발전: AI 알고리즘과 연산 능력의 발전이 AI 영상 진단 기기 시장을 주도하고 있습니다. 머신러닝과 신경망의 혁신은 이미지 품질, 처리 속도, 기능성을 향상시켜 다양한 응용 분야에서 성장과 채택을 촉진하고 있습니다.
• 고해상도 영상에 대한 수요 증가: 의료, 보안, 소비자 가전 등의 분야에서 고해상도 영상에 대한 수요가 증가하고 있는 것이 주요 촉진요인입니다. 소비자와 기업이 더 나은 시각적 품질을 요구함에 따라, 고해상도의 정확한 결과를 제공하는 첨단 AI 영상 진단 기기의 필요성이 대두되고 있습니다.
• 신기술과의 통합: AI 영상진단 장비는 엣지 컴퓨팅, AR/VR, 자율 시스템과 같은 신기술과의 통합을 통해 그 용도와 매력이 확대되고 있습니다. 이러한 추세는 향상된 기능과 새로운 기회를 제공함으로써 혁신과 시장 성장을 가속할 것입니다.
• AI 연구개발에 대한 투자 증가: AI 연구개발에 대한 막대한 투자로 영상 기술이 발전하고 있습니다. 민관 양측의 자금 지원은 최첨단 AI 영상 솔루션의 창출을 지원하여 시장 성장과 기술 발전에 기여하고 있습니다.
• 가전제품의 AI 이미지 기술 채택 확대: 스마트폰, 카메라 등 가전제품의 AI 이미지 기술 채택 확대가 시장 성장의 원동력이 되고 있습니다. 기능 강화와 사용자 경험 개선이 일상 생활가전제품에 AI 기반 이미지 솔루션에 대한 수요를 촉진하고 있습니다.

AI 영상 진단 기기 시장의 과제는 다음과 같습니다.

• 높은 개발 및 구현 비용: 첨단 AI 영상진단 기술의 개발 및 구현에는 연구개발비, 하드웨어 비용 등 고가의 비용이 소요됩니다. 이러한 비용은 중소기업과 스타트업 시장 진입과 경쟁을 제한하는 장벽이 될 수 있습니다.
• 기술적 한계와 성능 문제: 현재 AI 영상진단 장비는 특정 영상진단 시나리오를 처리하거나 다양한 조건에서 일관된 성능을 유지하는 데 한계에 직면할 수 있습니다. 이러한 기술적 제약은 AI 영상 솔루션의 효과와 신뢰성에 영향을 미칠 수 있습니다.
• 규제 및 프라이버시 문제: 데이터 보안 및 AI 기술의 윤리적 사용과 관련된 규제 및 프라이버시 문제는 AI 영상 진단 기기 시장에 과제를 제기합니다. 법적 리스크와 풍문 리스크를 피하기 위해서는 규제 준수와 프라이버시 문제에 대한 대응이 필수적입니다.

시장 성장 촉진요인 및 과제는 기술 발전, 시장 수요, 운영 고려사항에 영향을 미치면서 AI 영상 진단 기기 시장에 큰 영향을 미칩니다. 이러한 요인들을 효과적으로 해결하는 것은 이해관계자들이 시장을 탐색하고 성장 기회를 활용하기 위해 필수적입니다.

목차

제1장 주요 요약

제2장 세계의 AI 영상 진단 기기 시장 : 시장 역학

• 서론, 배경, 분류
• 공급망
• 업계 촉진요인과 과제

제3장 시장 동향과 예측 분석(2019년-2031년)

• 거시경제 동향(2019-2024년)과 예측(2025-2031년)
• 세계의 AI 영상 진단 기기 시장 동향(2019-2024년)과 예측(2025-2031년)
• 세계의 AI 영상 진단 기기 시장 : 유형별
  • X선 영상
  • MR 영상
  • CT 영상
  • 기타
• 세계의 AI 영상 진단 기기 시장 : 용도별
  • 병원
  • 클리닉
  • 기타

제4장 지역별 시장 동향과 예측 분석(2019년-2031년)

• 세계의 AI 영상 진단 기기 시장 : 지역별
• 북미의 AI 영상 진단 기기 시장
• 유럽의 AI 영상 진단 기기 시장
• 아시아태평양의 AI 영상 진단 기기 시장
• 기타 지역의 AI 영상 진단 기기 시장

제5장 경쟁 분석

• 제품 포트폴리오 분석
• 운영 통합
• Porter의 Five Forces 분석

제6장 성장 기회와 전략 분석

• 성장 기회 분석
  • 세계의 AI 영상 진단 기기 시장 성장 기회 : 유형별
  • 세계의 AI 영상 진단 기기 시장 성장 기회 : 용도별
  • 세계의 AI 영상 진단 기기 시장 성장 기회 : 지역별
• 세계의 AI 영상 진단 기기 시장의 새로운 동향
• 전략적 분석
  • 신제품 개발
  • 세계의 AI 영상 진단 기기 시장 생산능력 확대
  • 세계의 AI 영상 진단 기기 시장 기업인수합병(M&A), 합병사업
  • 인증 및 라이선싱

제7장 주요 기업 개요

• LG Electronics
• Samsung
• Siemens Healthineers
• Nano X
• Canon
• Hitachi
• Shimadzu

영문목차

The future of the global AI imaging device market looks promising with opportunities in the hospital and clinic markets. The global AI imaging device market is expected to grow with a CAGR of 26.5% from 2025 to 2031. The major drivers for this market are an increase in demand for enhanced diagnostic accuracy and efficiency in healthcare, rapid advancements in AI and machine learning algorithms, and integration of AI imaging devices with IoT platforms and edge computing technologies.

• Lucintel forecasts that, within the type category, x-ray imaging is expected to witness the highest growth over the forecast period.
• Within the application category, hospitals will remain the larger segment
• In terms of regions, APAC is expected to witness the highest growth over the forecast period.

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Emerging Trends in the AI Imaging Device Market

Emerging trends in the AI imaging device market are transforming how imaging technology is used across various industries. These trends highlight the increasing capabilities of AI and its expanding role in enhancing imaging solutions, influencing both consumer and professional applications.

• Integration with Edge Computing: AI imaging devices are increasingly incorporating edge computing capabilities, allowing for real-time image processing and analysis directly on the device. This trend reduces latency and bandwidth usage, making AI-driven imaging more efficient for applications such as surveillance, autonomous vehicles, and smart cameras.
• Advanced Object Recognition and Classification: There is a growing focus on improving object recognition and classification capabilities in AI imaging devices. Advanced algorithms enable more accurate detection and identification of objects, enhancing applications in security, retail, and industrial automation by providing detailed and actionable insights.
• AI-Enhanced Medical Imaging: AI imaging devices are making significant progress in medical imaging, with advancements that improve diagnostic accuracy and efficiency. AI-driven tools are being used for early disease detection, improved image quality, and automated analysis, transforming healthcare diagnostics and treatment planning.
• Increased Use in Consumer Electronics: AI imaging technology is becoming more prevalent in consumer electronics, including smartphones, cameras, and smart home devices. The integration of AI enhances features such as image stabilization, facial recognition, and augmented reality, providing users with advanced functionality and improved image quality.
• Development of Autonomous Systems: AI imaging devices are playing a crucial role in the development of autonomous systems, including drones and robotic systems. These devices are equipped with advanced imaging and AI capabilities for navigation, environmental monitoring, and interaction, contributing to the growth of autonomous technology across various sectors.

These trends are reshaping the AI imaging device market by driving technological advancements, broadening applications, and enhancing user experiences. The integration of AI with edge computing, improved object recognition, and expansion into consumer electronics and autonomous systems are influencing how imaging technology is utilized and developed.

Recent Developments in the AI Imaging Device Market

The AI imaging device market is experiencing significant developments driven by technological advancements and increasing applications. These developments underscore the growing capabilities of AI in imaging and its expanding role in diverse industries.

• Launch of AI-Powered Diagnostic Imaging Tools: New AI-powered diagnostic imaging tools have been introduced, offering enhanced accuracy and efficiency in medical diagnostics. These tools use advanced algorithms to improve image quality and facilitate early disease detection, revolutionizing healthcare imaging practices.
• Introduction of Smart Surveillance Systems: Recent advancements include the introduction of smart surveillance systems equipped with AI imaging technology. These systems offer improved object detection, facial recognition, and real-time monitoring, enhancing security and surveillance capabilities for various applications.
• Expansion of AI in Consumer Electronics: AI imaging technology is being increasingly integrated into consumer electronics, such as smartphones and digital cameras. This integration provides enhanced features like automatic image enhancement, facial recognition, and augmented reality, improving the overall user experience.
• Development of Edge Computing Capabilities: AI imaging devices are incorporating edge computing capabilities, allowing for real-time processing and analysis of images directly on the device. This development reduces the need for cloud-based processing and improves efficiency and responsiveness in applications such as autonomous vehicles and smart cameras.
• Advancements in Industrial Machine Vision: Significant advancements have been made in industrial machine vision systems, incorporating AI for better quality control and automation. These systems offer improved accuracy and efficiency in manufacturing processes, contributing to enhanced productivity and reduced errors.

These recent developments are shaping the AI imaging device market by enhancing technology capabilities, expanding applications, and improving user experiences. The integration of AI in diagnostic tools, consumer electronics, and industrial systems demonstrates the growing influence of AI on imaging technology.

Strategic Growth Opportunities for AI Imaging Device Market

The AI imaging device market offers numerous strategic growth opportunities across different applications. By focusing on these areas, businesses can capitalize on evolving trends and meet the increasing demand for advanced imaging solutions.

• Expansion in Healthcare Diagnostics: The healthcare sector presents significant growth opportunities for AI imaging devices, particularly in diagnostic imaging. AI-enhanced tools can improve diagnostic accuracy, automate analysis, and support early disease detection, offering substantial benefits to medical professionals and patients.
• Growth in Smart Surveillance Systems: Smart surveillance systems equipped with AI imaging technology represent a growing market opportunity. Enhanced capabilities such as real-time monitoring, facial recognition, and object detection are in high demand for security and surveillance applications, providing opportunities for innovation and market expansion.
• Development for Autonomous Vehicles: The development of AI imaging devices for autonomous vehicles is a key growth area. Advanced imaging systems are crucial for navigation, obstacle detection, and environmental awareness in self-driving cars, driving innovation, and investment in the autonomous vehicle sector.
• Integration with Augmented Reality (AR) and Virtual Reality (VR): AI imaging devices are increasingly being integrated with AR and VR technologies. This integration enhances visual experiences and interactivity, offering growth opportunities in entertainment, gaming, and training applications by providing more immersive and realistic environments.
• Expansion in Consumer Electronics: The integration of AI imaging technology into consumer electronics, such as smartphones and cameras, represents a significant growth opportunity. Enhanced features like automated image enhancement, facial recognition, and AR applications are driving demand and innovation in the consumer electronics market.

These growth opportunities are driving the expansion and innovation of the AI imaging device market. By focusing on applications in healthcare, surveillance, autonomous vehicles, AR/VR, and consumer electronics, companies can leverage emerging trends and address diverse market needs.

AI Imaging Device Market Driver and Challenges

The AI imaging device market is shaped by technological advancements, growing demand for high-resolution imaging, and challenges related to costs, technological limitations, and regulatory concerns. Analyzing these drivers and challenges provides insights into market dynamics and strategic considerations.

The factors driving the AI imaging device market include:

• Technological Advancements in AI: Advancements in AI algorithms and computational power are driving the AI imaging device market. Innovations in machine learning and neural networks enhance image quality, processing speed, and functionality, fueling growth and adoption across various applications.
• Increasing Demand for High-Resolution Imaging: The growing demand for high-resolution imaging in sectors such as healthcare, security, and consumer electronics is a major driver. As consumers and businesses seek better visual quality, the need for advanced AI imaging devices that provide high-resolution and accurate results becomes more prominent.
• Integration with Emerging Technologies: The integration of AI imaging devices with emerging technologies, such as edge computing, AR/VR, and autonomous systems, is expanding their applications and appeal. This trend drives innovation and market growth by offering enhanced capabilities and new opportunities.
• Rising Investment in AI Research and Development: Significant investment in AI research and development is advancing imaging technologies. Funding from both the public and private sectors supports the creation of cutting-edge AI imaging solutions, contributing to market growth and technological progress.
• Growing Adoption in Consumer Electronics: The increasing adoption of AI imaging technology in consumer electronics, including smartphones and cameras, drives market growth. Enhanced features and improved user experiences are fueling demand for AI-powered imaging solutions in everyday consumer devices.

Challenges in the AI imaging device market include:

• High Development and Implementation Costs: The development and implementation of advanced AI imaging technologies involve high costs, including research, development, and hardware expenses. These costs can be a barrier for smaller companies and startups, limiting market entry and competition.
• Technological Limitations and Performance Issues: Current AI imaging devices may face limitations in handling certain imaging scenarios or maintaining consistent performance across different conditions. These technological constraints can impact the effectiveness and reliability of AI imaging solutions.
• Regulatory and Privacy Concerns: Regulatory and privacy concerns related to data security and the ethical use of AI technology pose challenges for the AI imaging device market. Compliance with regulations and addressing privacy issues are critical for market players to avoid legal and reputational risks.

Drivers and challenges significantly impact the AI imaging device market by influencing technological advancements, market demand, and operational considerations. Addressing these factors effectively is essential for stakeholders to navigate the market and capitalize on growth opportunities.

List of AI Imaging Device 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. Through these strategies AI imaging device companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI imaging device companies profiled in this report include-

• LG Electronics
• Samsung
• Siemens Healthineers
• Nano X
• Canon
• Hitachi
• Shimadzu

AI Imaging Device by Segment

The study includes a forecast for the global AI imaging device market by type, application, and region.

AI Imaging Device Market by Type [Analysis by Value from 2019 to 2031]:

• X-Ray Imaging
• MR Imaging
• CT Imaging
• Others

AI Imaging Device Market by Application [Analysis by Value from 2019 to 2031]:

• Hospital
• Clinics
• Others

AI Imaging Device Market by Region [Analysis by Value from 2019 to 2031]:

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

Country Wise Outlook for the AI Imaging Device Market

The AI imaging device market has been rapidly evolving, with significant advancements across key global regions. These developments reflect technological innovation, increased integration of AI capabilities, and shifting consumer and industry demands. Understanding these regional updates provides insight into how the market is transforming and highlights the diverse approaches to AI imaging technology worldwide.

• United States: In the US, recent developments in AI imaging devices include the integration of advanced neural networks for enhanced image analysis and processing. Major tech companies are deploying AI-powered cameras in various sectors, including automotive, healthcare, and consumer electronics. Innovations such as real-time image enhancement and predictive analytics are becoming prominent, driven by a robust research environment and high consumer demand for smart technology.
• China: China has seen rapid advancements in AI imaging technology, particularly with the rise of smart surveillance systems and consumer electronics. Chinese tech giants are leading in deploying AI-driven imaging solutions that offer high-resolution capabilities and sophisticated object recognition. Government investments in AI research and development are fueling these innovations, positioning China as a major player in the global AI imaging device market.
• Germany: In Germany, the focus is on integrating AI imaging devices into industrial and healthcare applications. Recent developments include AI-driven diagnostic imaging tools that improve accuracy and efficiency in medical fields. Additionally, German manufacturers are pioneering advanced machine vision systems for manufacturing and quality control, reflecting the country's emphasis on precision and technological excellence in industrial applications.
• India: India's AI imaging device market is evolving with a focus on affordability and accessibility. Innovations in this region include cost-effective AI-powered cameras and imaging systems designed for mobile and consumer use. Growth is driven by increasing smartphone penetration and digital content creation, with local startups and tech companies contributing to the development of innovative and accessible imaging solutions.
• Japan: Japan's market has seen advancements in AI imaging devices with applications in robotics and consumer electronics. Recent developments include AI-enhanced imaging systems for autonomous robots and sophisticated camera technologies for high-resolution imaging in consumer devices. Japan's emphasis on precision and technological integration is reflected in its push towards cutting-edge AI imaging solutions.

Features of the Global AI Imaging Device Market

Market Size Estimates: AI imaging device market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.

Segmentation Analysis: AI imaging device market size by type, application, and region in terms of value ($B).

Regional Analysis: AI imaging device market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the AI imaging device market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI imaging device 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 imaging device market by type (x-ray imaging, MR imaging, CT imaging, and others), application (hospital, clinics, and others), 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 Imaging Device 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 2019 to 2031

• 3.1. Macroeconomic Trends (2019-2024) and Forecast (2025-2031)
• 3.2. Global AI Imaging Device Market Trends (2019-2024) and Forecast (2025-2031)
• 3.3: Global AI Imaging Device Market by Type
  • 3.3.1: X-Ray Imaging
  • 3.3.2: MR Imaging
  • 3.3.3: CT Imaging
  • 3.3.4: Others
• 3.4: Global AI Imaging Device Market by Application
  • 3.4.1: Hospital
  • 3.4.2: Clinics
  • 3.4.3: Others

4. Market Trends and Forecast Analysis by Region from 2019 to 2031

• 4.1: Global AI Imaging Device Market by Region
• 4.2: North American AI Imaging Device Market
  • 4.2.1: North American Market by Type: X-Ray Imaging, MR Imaging, CT Imaging, and Others
  • 4.2.2: North American Market by Application: Hospital, Clinics, and Others
• 4.3: European AI Imaging Device Market
  • 4.3.1: European Market by Type: X-Ray Imaging, MR Imaging, CT Imaging, and Others
  • 4.3.2: European Market by Application: Hospital, Clinics, and Others
• 4.4: APAC AI Imaging Device Market
  • 4.4.1: APAC Market by Type: X-Ray Imaging, MR Imaging, CT Imaging, and Others
  • 4.4.2: APAC Market by Application: Hospital, Clinics, and Others
• 4.5: ROW AI Imaging Device Market
  • 4.5.1: ROW Market by Type: X-Ray Imaging, MR Imaging, CT Imaging, and Others
  • 4.5.2: ROW Market by Application: Hospital, Clinics, and Others

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 Imaging Device Market by Type
  • 6.1.2: Growth Opportunities for the Global AI Imaging Device Market by Application
  • 6.1.3: Growth Opportunities for the Global AI Imaging Device Market by Region
• 6.2: Emerging Trends in the Global AI Imaging Device Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global AI Imaging Device Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI Imaging Device Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: LG Electronics
• 7.2: Samsung
• 7.3: Siemens Healthineers
• 7.4: Nano X
• 7.5: Canon
• 7.6: Hitachi
• 7.7: Shimadzu