AI内視鏡市場レポート：2031年までの動向、予測、競合分析

世界のAI内視鏡市場の将来性は、病院・クリニック市場での機会で有望視されています。世界のAI内視鏡市場は、2025年から2031年にかけてCAGR 24.7％で成長すると予測されています。この市場の主な促進要因は、消化器疾患の有病率の上昇と低侵襲手術の採用の増加です。

• タイプ別ではソフトウェア分野が予測期間中に高い成長を遂げると予測しています。
• 用途別では、病院がより高い成長を遂げると予測されています。
• 地域別では、アジア太平洋地域が予測期間中に最も高い成長が見込まれます。

AI内視鏡市場の戦略的成長機会

AI内視鏡市場は、技術的進歩と進化する医療ニーズによって、主要用途で複数の戦略的成長機会を提示しています。

• 画像診断：AI内視鏡は、精度と効率を向上させることで、画像診断に大きな成長機会を提供します。強化された画像解析機能は、疾患の早期発見とより良い患者管理をサポートします。
• 低侵襲手術：低侵襲手術のためのロボットシステムとAIの統合は成長機会をもたらします。この用途は精度の向上と回復時間の短縮を実現し、患者とヘルスケアプロバイダーの双方に利益をもたらします。
• 遠隔診断：AI内視鏡技術は遠隔診断機能を可能にし、十分なサービスを受けていない地域で専門家による分析へのアクセスを提供します。この成長機会はヘルスケアへのアクセスを向上させ、遠隔医療イニシアチブをサポートします。
• トレーニングとシミュレーション：AIを活用した内視鏡システムは、高度なトレーニングとシミュレーションの機会を提供し、医療専門家のスキルを向上させます。この用途は、より良い処置結果と継続的な学習をサポートします。
• 医療の効率化：内視鏡ワークフローと管理を最適化するAIの利用は、医療効率を高める機会を提供します。この用途は運用コストを削減し、ヘルスケア提供全体を改善します。

こうした戦略的成長機会は、用途の拡大と技術の強化によってAI内視鏡市場を形成しています。診断、低侵襲手技、効率性への注力は、市場の成長と変革を促進しています。

AI内視鏡市場の促進要因・課題

AI内視鏡市場は、その成長と開拓に影響を与える様々な促進要因・課題の影響を受けています。これらの要因には、技術の進歩、経済状況、規制上の考慮事項などが含まれます。

AI内視鏡市場を牽引する要因は以下の通りである：

• 技術の進歩：AIアルゴリズムと内視鏡システムの革新が市場成長を牽引しています。画像解析とリアルタイム処理の改善により、診断能力と手技効率が向上します。
• 低侵襲手技の需要増加：低侵襲処置への嗜好がAI内視鏡の採用を後押ししています。この動向は、患者の予後改善と回復時間の短縮をサポートします。
• ヘルスケア投資の拡大：ヘルスケア技術への投資の増加がAI内視鏡ソリューションの開発と採用を支えています。この動向は進歩を促進し、市場機会を拡大します。
• 診断能力の強化：AI内視鏡の診断精度の向上と疾病の早期発見能力は、市場成長の原動力となっています。この能力は、より良い患者管理と治療成果をサポートします。
• ヘルスケアコストの上昇：ヘルスケアコスト削減の必要性がAI内視鏡の採用を促進しています。効率的な処置とワークフローの最適化は、コスト削減とヘルスケア提供の改善に貢献します。

AI内視鏡市場の課題は以下の通り：

• 高い導入コスト：AI内視鏡システムの初期費用は高額になる可能性があり、導入の障壁となります。この課題は、一部の医療環境における市場浸透とアクセシビリティに影響します。
• 規制コンプライアンス：AI技術に関する複雑な規制要件を理解することは困難です。規格や認可の遵守は開発と市場開拓に影響を与えます。
• 技術統合の問題：AI内視鏡システムと既存の医療技術の統合は複雑な場合があります。互換性と相互運用性の問題は、システムの有効性とユーザー導入に影響を与える可能性があります。

これらの市場促進要因・課題は、成長機会や戦略的意思決定に影響を与え、AI内視鏡市場を形成します。技術の進歩と効率化要求の高まりが市場拡大の原動力となる一方、導入コストと規制上のハードルが継続的な課題となります。

目次

第1章 エグゼクティブサマリー

第2章 世界のAI内視鏡市場：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内視鏡市場動向（2019～2024年）と予測（2025～2031年）
• 世界のAI内視鏡市場：タイプ別
  • ソフトウェア
  • ハードウェア
• 世界のAI内視鏡市場：用途別
  • 病院
  • クリニック
  • その他

第4章 市場動向と予測分析：地域別（2019年～2031年）

• AI内視鏡市場：地域別
• 北米のAI内視鏡市場
• 欧州のAI内視鏡市場
• アジア太平洋地域のAI内視鏡市場
• その他地域 AI内視鏡市場

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内視鏡市場における成長機会：タイプ別
  • 世界のAI内視鏡市場における成長機会：用途別
  • AI内視鏡市場における成長機会：地域別
• 世界のAI内視鏡市場における新たな動向
• 戦略分析
  • 新製品開発
  • 世界のAI内視鏡市場のキャパシティ拡大
  • 世界のAI内視鏡市場における合併、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

• AnX Robotica
• Odin Medical
• NEC Corporation
• Asus
• AI endoscopic
• Virgo
• AI Medical Service

The future of the global AI endoscopy market looks promising with opportunities in the hospital and clinic markets. The global AI endoscopy market is expected to grow with a CAGR of 24.7% from 2025 to 2031. The major drivers for this market are the rising prevalence of gastrointestinal diseases and the increasing adoption of minimally invasive surgeries.

• Lucintel forecasts that, within the type category, the software segment is expected to witness higher growth over the forecast period.
• Within the application category, the hospital is expected to witness higher growth.
• 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 Endoscopy Market

AI endoscopy is influenced by several key trends that are driving the market forward. These trends reflect advancements in technology and shifts in healthcare practices.

• Enhanced Image Analysis: AI-driven image analysis is improving diagnostic accuracy by detecting anomalies with greater precision. This trend supports early disease detection and personalized treatment plans, enhancing overall patient care.
• Integration with Robotic Systems: AI endoscopy is increasingly integrated with robotic systems, enabling more precise and minimally invasive procedures. This integration improves surgical outcomes and reduces recovery times.
• Real-Time Data Processing: The ability of AI systems to process data in real time enhances decision-making during endoscopic procedures. This trend improves the efficiency and effectiveness of interventions by providing instant feedback.
• Increased Accessibility: Efforts to make AI endoscopy technology more affordable are expanding its accessibility to a wider range of healthcare facilities. This trend supports broader adoption and helps bridge the gap in healthcare quality.
• AI-Driven Workflow Optimization: AI is being used to optimize endoscopic workflows, including scheduling and procedural management. This trend enhances operational efficiency and reduces the burden on medical staff.

These trends are reshaping the AI endoscopy market by advancing technology, improving diagnostic capabilities, and expanding accessibility. The focus on integration, real-time processing, and workflow optimization is driving significant changes in the field.

Recent Developments in the AI Endoscopy Market

Recent developments in the AI endoscopy market reflect significant progress in technology and application. These advancements are enhancing diagnostic capabilities and operational efficiency.

• Advanced AI Algorithms: The development of sophisticated AI algorithms has improved the accuracy of endoscopic image analysis, aiding in the early detection of diseases and refining diagnostic processes.
• Integration with Robotic Systems: The integration of AI with robotic endoscopy systems has led to more precise and minimally invasive procedures, enhancing surgical outcomes and reducing patient recovery times.
• Enhanced Real-Time Processing: New AI systems are capable of real-time data processing, allowing for immediate feedback during endoscopic procedures and improving overall procedural efficiency.
• Affordable Solutions: Efforts to develop cost-effective AI endoscopy solutions are making the technology more accessible to healthcare facilities, supporting broader adoption and improving healthcare delivery.
• AI in Workflow Optimization: AI technologies are being applied to optimize endoscopic workflows, including scheduling and management, leading to increased operational efficiency and reduced workload for medical staff.

These developments are driving growth in the AI endoscopy market by enhancing technology, improving patient outcomes, and expanding accessibility. The focus on affordability and efficiency is making AI endoscopy more widely adopted and impactful.

Strategic Growth Opportunities for the AI Endoscopy Market

The AI endoscopy market presents several strategic growth opportunities across key applications, driven by technological advancements and evolving healthcare needs.

• Diagnostic Imaging: AI endoscopy offers significant growth opportunities in diagnostic imaging by improving accuracy and efficiency. Enhanced image analysis capabilities support early disease detection and better patient management.
• Minimally Invasive Surgery: The integration of AI with robotic systems for minimally invasive surgery presents growth opportunities. This application improves precision and reduces recovery times, benefiting both patients and healthcare providers.
• Remote Diagnostics: AI endoscopy technology can enable remote diagnostic capabilities, providing access to expert analysis in underserved areas. This growth opportunity enhances healthcare accessibility and supports telemedicine initiatives.
• Training and Simulation: AI-driven endoscopic systems offer opportunities for advanced training and simulation, improving the skills of healthcare professionals. This application supports better procedural outcomes and continuous learning.
• Healthcare Efficiency: The use of AI to optimize endoscopic workflows and management presents opportunities for enhancing healthcare efficiency. This application reduces operational costs and improves overall healthcare delivery.

These strategic growth opportunities are shaping the AI endoscopy market by expanding applications and enhancing technology. The focus on diagnostics, minimally invasive procedures, and efficiency is driving market growth and transformation.

AI Endoscopy Market Drivers and Challenges

The AI endoscopy market is influenced by various drivers and challenges that impact its growth and development. These factors include technological advancements, economic conditions, and regulatory considerations.

The factors responsible for driving the AI endoscopy market include:

• Technological Advancements: Innovations in AI algorithms and endoscopic systems are driving market growth. Improved image analysis and real-time processing enhance diagnostic capabilities and procedural efficiency.
• Increased Demand for Minimally Invasive Procedures: The preference for minimally invasive procedures is boosting the adoption of AI endoscopy. This trend supports better patient outcomes and shorter recovery times.
• Growing Healthcare Investments: Increased investments in healthcare technology are supporting the development and adoption of AI endoscopy solutions. This trend facilitates advancements and expands market opportunities.
• Enhanced Diagnostic Capabilities: AI endoscopy's ability to improve diagnostic accuracy and early disease detection drives market growth. This capability supports better patient management and treatment outcomes.
• Rising Healthcare Costs: The need to reduce healthcare costs is driving the adoption of AI endoscopy. Efficient procedures and workflow optimization contribute to cost savings and improved healthcare delivery.

Challenges in the AI endoscopy market are:

• High Implementation Costs: The initial costs of AI endoscopy systems can be high, posing a barrier to adoption. This challenge affects market penetration and accessibility in some healthcare settings.
• Regulatory Compliance: Navigating complex regulatory requirements for AI technologies can be challenging. Compliance with standards and approvals impacts development and market entry.
• Technological Integration Issues: Integrating AI endoscopy systems with existing medical technologies can be complex. Compatibility and interoperability issues may affect system effectiveness and user adoption.

These drivers and challenges shape the AI endoscopy market by influencing growth opportunities and strategic decisions. Technological advancements and growing demand for efficiency drive market expansion, while implementation costs and regulatory hurdles present ongoing challenges.

List of AI Endoscopy Companies

Companies in the market compete based on 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 endoscopy companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI endoscopy companies profiled in this report include-

• Anx Robotica
• Odin Medical
• NEC Corporation
• Asus
• AIendoscopic
• Virgo
• AI Medical Service

AI Endoscopy by Segment

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

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

• Software
• Hardware

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

• Hospital
• Clinic
• Others

AI Endoscopy 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 Endoscopy Market

The following highlights recent developments by major AI endoscopy producers in key regions: the USA, Chinese, Indian, Japanese, and German.

• United States: In the US, AI endoscopy has seen significant growth with advanced algorithms improving image analysis and diagnostic accuracy. New AI systems are being integrated into endoscopic devices to enhance real-time decision-making and automate image interpretation.
• Chinese: China is investing heavily in AI endoscopy technology, focusing on developing advanced algorithms for disease detection and treatment. Recent developments include improved machine learning models and partnerships with medical institutions to refine AI applications in endoscopic procedures.
• Germany: Germany has introduced sophisticated AI endoscopy systems that integrate with existing medical imaging technologies. These systems enhance precision in diagnostic procedures and have been adopted in several leading hospitals for research and clinical applications.
• Indian: In India, AI endoscopy is gaining traction with efforts to make the technology more accessible. Recent developments include collaborations with tech startups to develop affordable AI solutions that can be used in a broader range of healthcare settings.
• Japan: Japan is advancing AI endoscopy with a focus on high-resolution imaging and real-time analysis. Recent innovations include the integration of AI with robotic endoscopy systems, aiming to improve surgical outcomes and procedural safety.

Features of the Global AI Endoscopy Market

Market Size Estimates: AI endoscopy 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 endoscopy market size by type, application, and region in terms of value ($B).

Regional Analysis: AI endoscopy 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 endoscopy market.

Strategic Analysis: This includes M&A, new product development, and the competitive landscape of the AI endoscopy market.

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

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This report answers the following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the AI endoscopy market by type (software and hardware), application (hospital, clinic, 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 Endoscopy 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 Endoscopy Market Trends (2019-2024) and Forecast (2025-2031)
• 3.3: Global AI Endoscopy Market by Type
  • 3.3.1: Software
  • 3.3.2: Hardware
• 3.4: Global AI Endoscopy Market by Application
  • 3.4.1: Hospital
  • 3.4.2: Clinic
  • 3.4.3: Others

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

• 4.1: Global AI Endoscopy Market by Region
• 4.2: North American AI Endoscopy Market
  • 4.2.1: North American Market by Type: Software and Hardware
  • 4.2.2: North American Market by Application: Hospital, Clinic, and Others
• 4.3: European AI Endoscopy Market
  • 4.3.1: European Market by Type: Software and Hardware
  • 4.3.2: European Market by Application: Hospital, Clinic, and Others
• 4.4: APAC AI Endoscopy Market
  • 4.4.1: APAC Market by Type: Software and Hardware
  • 4.4.2: APAC Market by Application: Hospital, Clinic, and Others
• 4.5: ROW AI Endoscopy Market
  • 4.5.1: ROW Market by Type: Software and Hardware
  • 4.5.2: ROW Market by Application: Hospital, Clinic, 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 Endoscopy Market by Type
  • 6.1.2: Growth Opportunities for the Global AI Endoscopy Market by Application
  • 6.1.3: Growth Opportunities for the Global AI Endoscopy Market by Region
• 6.2: Emerging Trends in the Global AI Endoscopy Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global AI Endoscopy Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI Endoscopy Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: AnX Robotica
• 7.2: Odin Medical
• 7.3: NEC Corporation
• 7.4: Asus
• 7.5: AI endoscopic
• 7.6: Virgo
• 7.7: AI Medical Service