AI画像診断装置市場レポート：動向、予測、競合分析 (2031年まで)

世界のAI画像診断装置市場の将来は、病院・診療所市場での機会で有望視されています。世界のAI画像診断装置市場は、2025年から2031年にかけてCAGR 26.5％で成長する見込みです。この市場の主な促進要因は、医療における診断精度と効率性の向上に対する需要の増加、AIと機械学習アルゴリズムの急速な進歩、AI画像診断装置とIoTプラットフォームおよびエッジコンピューティング技術の統合です。

• Lucintelの予測では、種類別ではX線画像が予測期間中に最も高い成長を遂げる見込みです。
• 用途別では、病院が引き続き大きなセグメントです。
• 地域別では、アジア太平洋が予測期間中に最も高い成長が見込まれます。

AI画像診断装置市場の戦略的成長機会

AI画像診断装置市場は、さまざまな用途において数多くの戦略的成長機会を提供しています。これらの分野に注力することで、企業は進化する動向を活用し、高度な画像ソリューションに対する需要の増加に対応することができます。

• 医療診断の拡大：医療分野は、特に画像診断において、AI画像診断装置に大きな成長機会をもたらしています。AIで強化されたツールは、診断精度の向上、分析の自動化、病気の早期発見をサポートし、医療従事者と患者に大きな利益をもたらします。
• スマート監視システムの成長：AI画像診断技術を搭載したスマート監視システムは、成長市場です。リアルタイムの監視、顔認識、物体検出などの強化された機能は、セキュリティや監視アプリケーションで高い需要があり、技術革新と市場拡大の機会を提供します。
• 自律走行車向けの開発：自律走行車向けのAI画像診断装置の開発は、主要な成長分野です。高度な画像診断システムは、自動運転車のナビゲーション、障害物検知、環境認識に不可欠であり、自律走行車分野での技術革新と投資を促進します。
• 拡張現実（AR）および仮想現実（VR）との統合：AI画像診断装置はARやVR技術との統合が進んでいます。この統合により、視覚体験と双方向性が強化され、より没入感のあるリアルな環境を提供することで、エンターテインメント、ゲーム、トレーニング用途に成長機会がもたらされます。
• 家電分野での拡大：スマートフォンやカメラなどの家電製品へのAI画像技術の統合は、大きな成長機会となります。自動画像補正、顔認識、ARアプリケーションなどの機能強化が、家電市場での需要とイノベーションを促進しています。

このような成長機会が、AI画像診断装置市場の拡大と革新を促進しています。医療、監視、自律走行車、AR/VR、コンシューマーエレクトロニクスなどのアプリケーションに注力することで、企業は新たな動向を活用し、多様な市場ニーズに対応することができます。

AI画像診断装置市場の促進要因・課題

AI画像診断装置市場は、技術の進歩、高解像度の画像診断に対する需要の高まり、コスト、技術的限界、規制上の懸念に関する課題によって形成されています。これらの市場促進要因・課題を分析することで、市場ダイナミクスと戦略的考察に関する洞察が得られます。

AI画像診断装置市場の促進要因は以下の通り：

• AIの技術進歩：AIアルゴリズムと計算能力の進歩がAI画像診断装置市場を牽引しています。機械学習とニューラルネットワークの革新は、画質、処理速度、機能性を向上させ、さまざまな用途での成長と採用を促進しています。
• 高解像度画像に対する需要の増加：医療、セキュリティ、コンシューマーエレクトロニクスなどの分野で高解像度画像への需要が高まっていることが大きな促進要因となっています。消費者や企業がより優れた視覚品質を求めるにつれ、高解像度で正確な結果を提供する高度なAI画像診断装置の必要性が顕著になっています。
• 新技術との統合：AI画像診断装置は、エッジコンピューティング、AR/VR、自律システムなどの新興技術と統合されることで、その用途と魅力が拡大しています。この動向は、強化された機能と新たな機会を提供することで、イノベーションと市場成長を促進します。
• AI研究開発への投資の増加：AIの研究開発への多額の投資により、画像技術が進歩しています。官民双方からの資金提供は、最先端のAI画像ソリューションの創出を支援し、市場成長と技術進歩に貢献しています。
• 家電での採用拡大：スマートフォンやカメラなどの家電製品におけるAI画像技術の採用拡大が、市場成長の原動力となっています。機能の強化とユーザー体験の向上が、日常的な家電製品におけるAI搭載画像ソリューションの需要を促進しています。

AI画像診断装置市場の課題は以下の通り：

• 高い開発・実装コスト：高度なAI画像診断技術の開発と実装には、研究開発費、ハードウェア費用など、高額なコストがかかります。これらのコストは、中小企業や新興企業にとって障壁となり、市場参入や競争を制限する可能性があります。
• 技術的限界と性能の問題：現在のAI画像診断装置は、特定の画像診断シナリオを処理したり、異なる条件下で一貫した性能を維持したりする上で限界に直面する可能性があります。このような技術的制約は、AI画像ソリューションの有効性と信頼性に影響を与える可能性があります。
• 規制とプライバシーの懸念：データセキュリティとAI技術の倫理的使用に関連する規制とプライバシーの懸念は、AI画像診断装置市場に課題をもたらします。法的リスクや風評リスクを回避するためには、規制の遵守とプライバシー問題への対応が不可欠です。

市場促進要因・課題は、技術進歩、市場需要、運用上の考慮事項に影響を与えることで、AI画像診断装置市場に大きな影響を与えます。これらの要因に効果的に対処することは、利害関係者が市場をナビゲートし、成長機会を活用するために不可欠です。

目次

第1章 エグゼクティブサマリー

第2章 世界のAI画像診断装置市場：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 市場動向と予測分析 (2019年～2031年)

• マクロ経済動向 (2019～2024年) と予測 (2025～2031年)
• 世界のAI画像診断装置市場の動向 (2019～2024年) と予測 (2025～2031年)
• 世界のAI画像診断装置市場：種類別
  • X線画像
  • MR画像
  • CT画像
  • その他
• 世界のAI画像診断装置市場：用途別
  • 病院
  • クリニック
  • その他

第4章 地域別の市場動向と予測分析 (2019年～2031年)

• 世界のAI画像診断装置市場：地域別
• 北米のAI画像診断装置市場
• 欧州のAI画像診断装置市場
• アジア太平洋のAI画像診断装置市場
• その他地域のAI画像診断装置市場

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
  • 世界のAI画像診断装置市場の成長機会：種類別
  • 世界のAI画像診断装置市場の成長機会：用途別
  • 世界のAI画像診断装置市場の成長機会：地域別
• 世界のAI画像診断装置市場の新たな動向
• 戦略的分析
  • 新製品の開発
  • 世界のAI画像診断装置市場の生産能力拡大
  • 世界のAI画像診断装置市場における企業合併・買収 (M&A)、合弁事業
  • 認証とライセンシング

第7章 主要企業のプロファイル

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

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