한글목차

세계 AI 내시경 시장의 장래성은 병원 및 클리닉 시장에서의 기회로 인해 유망한 것으로 평가되고 있습니다. 세계 AI 내시경 시장은 2025년부터 2031년까지 CAGR 24.7%로 성장할 것으로 예상됩니다. 이 시장의 주요 촉진요인은 소화기 질환의 유병률 증가와 최소침습 수술의 채택 증가입니다.

• 유형별로는 소프트웨어 분야가 예측 기간 동안 높은 성장세를 보일 것으로 예상하고 있습니다.
• 용도별로는 병원이 더 높은 성장세를 보일 것으로 예측됩니다.
• 지역별로는 아시아태평양이 예측 기간 동안 가장 높은 성장을 보일 것으로 예상됩니다.

AI 내시경 시장의 전략적 성장 기회

AI 내시경 시장은 기술 발전과 진화하는 의료 수요로 인해 주요 응용 분야에서 여러 가지 전략적 성장 기회를 제공하고 있습니다.

• 영상 진단 : AI 내시경은 정확성과 효율성을 향상시켜 영상 진단에 큰 성장 기회를 제공합니다. 향상된 영상 분석 기능은 질병의 조기 발견과 더 나은 환자 관리를 지원합니다.
• 최소침습 수술 : 최소침습 수술을 위한 로봇 시스템과 AI의 통합은 성장 기회를 제공합니다. 이 분야는 정확도를 높이고 회복 시간을 단축하여 환자와 의료 서비스 제공자 모두에게 이익이 될 수 있습니다.
• 원격 진단 : AI 내시경 기술은 원격 진단 기능을 가능하게 하고, 의료 서비스가 부족한 지역에서 전문가 분석에 대한 접근성을 제공합니다. 이 성장 기회는 의료 서비스 접근성을 향상시키고 원격의료 이니셔티브를 지원할 수 있습니다.
• 교육 및 시뮬레이션 : AI 기반 내시경 시스템은 고급 교육 및 시뮬레이션 기회를 제공하여 의료 전문가의 기술을 향상시킬 수 있습니다. 이 용도는 더 나은 시술 결과와 지속적인 학습을 지원합니다.
• 의료 효율화 : 내시경 워크플로우와 관리를 최적화하는 AI의 활용은 의료 효율성을 높일 수 있는 기회를 제공합니다. 이를 통해 운영 비용을 절감하고 전체 의료 서비스를 개선할 수 있습니다.

이러한 전략적 성장 기회는 응용 분야 확대와 기술 강화로 AI 내시경 시장을 형성하고 있습니다. 진단, 최소침습적 시술, 효율성에 대한 집중은 시장의 성장과 변화를 촉진하고 있습니다.

AI 내시경 시장 활성화 요인 및 과제

AI 내시경 시장은 성장과 개척에 영향을 미치는 다양한 촉진요인 및 과제에 영향을 받고 있습니다. 이러한 요인에는 기술 발전, 경제 상황, 규제 고려 사항 등이 포함됩니다.

AI 내시경 시장을 견인하는 요인은 다음과 같습니다:

• 기술 발전 : AI 알고리즘과 내시경 시스템의 혁신이 시장 성장을 주도하고 있습니다. 이미지 분석 및 실시간 처리의 개선으로 진단 능력과 시술 효율성이 향상됩니다.
• 최소침습적 시술에 대한 수요 증가 : 최소침습적 시술에 대한 선호도가 AI 내시경의 채택을 촉진하고 있습니다. 이러한 추세는 환자의 예후를 개선하고 회복 시간을 단축하는 데 도움이 됩니다.
• 헬스케어 투자 확대 : 헬스케어 기술에 대한 투자 증가는 AI 내시경 솔루션의 개발 및 채택을 뒷받침하고 있습니다. 이러한 추세는 발전을 촉진하고 시장 기회를 확대할 것입니다.
• 진단 능력 강화 : AI 내시경의 진단 정확도 향상과 질병 조기 발견 능력은 시장 성장의 원동력이 되고 있습니다. 이 능력은 더 나은 환자 관리와 치료 결과를 지원합니다.
• 의료비 상승 : 의료비 절감의 필요성이 AI 내시경의 도입을 촉진하고 있습니다. 효율적인 시술과 워크플로우 최적화는 비용 절감과 의료 서비스 개선에 기여합니다.

AI 내시경 시장의 과제는 다음과 같습니다:

• 높은 도입 비용 : AI 내시경 시스템의 초기 비용이 높을 수 있으며, 이는 도입 장벽이 될 수 있습니다. 이 문제는 일부 의료 환경에서의 시장 침투와 접근성에 영향을 미칠 수 있습니다.
• 규제 준수 : AI 기술에 대한 복잡한 규제 요건을 이해하는 것은 어려운 일입니다. 표준 및 허가 준수 여부는 개발 및 시장 개척에 영향을 미칩니다.
• 기술 통합 문제 : AI 내시경 시스템과 기존 의료 기술의 통합은 복잡할 수 있습니다. 호환성 및 상호운용성 문제는 시스템의 효과와 사용자 도입에 영향을 미칠 수 있습니다.

이러한 시장 촉진요인과 과제는 성장 기회와 전략적 의사결정에 영향을 미치며 AI 내시경 시장을 형성합니다. 기술 발전과 효율성에 대한 요구가 시장 확대의 원동력이 되는 반면, 도입 비용과 규제 장벽은 지속적인 도전이 될 것입니다.

목차

제1장 주요 요약

제2장 세계의 AI 내시경 시장 : 시장 역학

• 소개, 배경, 분류
• 공급망
• 업계 성장 촉진요인과 과제

제3장 시장 동향과 예측 분석(2019-2031년)

• 거시경제 동향(2019-2024년)과 예측(2025-2031년)
• 세계의 AI 내시경 시장 동향(2019-2024년)과 예측(2025-2031년)
• 세계의 AI 내시경 시장 : 유형별
  • 소프트웨어
  • 하드웨어
• 세계의 AI 내시경 시장 : 용도별
  • 병원
  • 클리닉
  • 기타

제4장 시장 동향과 예측 분석 : 지역별(2019-2031년)

• AI 내시경 시장 : 지역별
• 북미의 AI 내시경 시장
• 유럽의 AI 내시경 시장
• 아시아태평양의 AI 내시경 시장
• 기타 지역 AI 내시경 시장

제5장 경쟁 분석

• 제품 포트폴리오 분석
• 운영 통합
• Porter's Five Forces 분석

제6장 성장 기회와 전략 분석

• 성장 기회 분석
  • 세계의 AI 내시경 시장의 성장 기회 : 유형별
  • 세계의 AI 내시경 시장의 성장 기회 : 용도별
  • AI 내시경 시장의 성장 기회 : 지역별
• 세계의 AI 내시경 시장의 최신 동향
• 전략 분석
  • 신제품 개발
  • 세계의 AI 내시경 시장 커패시티 확대
  • 세계의 AI 내시경 시장 합병, 인수, 합작투자
  • 인증과 라이선싱

제7장 주요 기업 개요

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

영문목차

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