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市場調查報告書

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1700397

人工智慧內視鏡市場報告：2031 年趨勢、預測與競爭分析

AI Endoscopy Market Report: Trends, Forecast and Competitive Analysis to 2031

出版日期: 2025年04月07日 | 出版商:

Lucintel | 英文 150 Pages | 商品交期: 3個工作天內

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簡介目錄

由於醫院和診所市場存在機會，全球人工智慧內視鏡市場的未來前景光明。預計 2025 年至 2031 年期間全球 AI 內視鏡市場將以 24.7% 的複合年成長率成長。該市場的主要驅動力是胃腸道疾病盛行率的上升和微創手術的普及。

根據類型，預計軟體產業在預測期內將實現高速成長。
從應用來看，醫院預計將經歷更高的成長。
根據地區來看，預計亞太地區將在預測期內實現最高成長。

人工智慧內視鏡市場的策略性成長機會

在技術進步和不斷發展的醫療需求的推動下，AI內視鏡市場在關鍵應用領域呈現出多種策略成長機會。

診斷成像：人工智慧內視鏡檢查透過提高準確性和效率為診斷成像提供了巨大的成長機會。增強的影像分析功能支援更早的疾病檢測和更好的患者管理。
微創手術：機器人系統與人工智慧的融合為微創手術創造了成長機會。該應用程式將提高精確度並縮短恢復時間，從而使患者和醫療保健提供者受益。
遠距離診斷：人工智慧內視鏡技術將實現遠距離診斷能力，為服務不足的地區提供專家分析。這一成長機會將改善醫療保健服務並支援遠端醫療舉措。
培訓和模擬：人工智慧內視鏡系統提供先進的培訓和模擬機會，以提高醫療專業人員的技能。該應用程式支援更好的治療結果和持續學習。
提高醫療效率：使用人工智慧最佳化內視鏡工作流程和管理為提高醫療效率提供了機會。該應用程式降低了營運成本並改善了整體醫療保健服務。

這些策略性成長機會正在透過擴大應用和增強技術來塑造AI內視鏡市場。對診斷、微創手術和效率的關注正在推動市場成長和轉型。

AI內視鏡市場的促進因素與挑戰

AI內視鏡市場受到各種影響其成長和發展的促進因素和挑戰的影響。這些因素包括技術進步、經濟狀況和監管考慮。

推動AI內視鏡市場發展的因素如下：

技術進步：人工智慧演算法和內視鏡系統的創新正在推動市場成長。改進的影像分析和即時處理提高了診斷能力和程序效率。
對微創手術的需求不斷增加：對微創手術的偏好正在推動人工智慧內視鏡的採用。這一趨勢將有助於改善患者的治療效果並縮短復原時間。
增加醫療保健投資：增加醫療保健技術的投資正在支持人工智慧內視鏡解決方案的開發和採用。這一趨勢將推動進步並擴大市場機會。
增強的診斷能力：AI內視鏡診斷準確性的提高及其早期發現疾病的能力正在推動市場成長。此功能可支援更好的患者管理和治療結果。
醫療成本不斷上漲：降低醫療成本的需求推動了人工智慧內視鏡的採用。高效率的程序和最佳化的工作流程有助於降低成本並改善醫療保健服務。

AI內視鏡市場面臨的挑戰如下：

實施成本高：人工智慧內視鏡系統的初始成本可能很高，成為採用的障礙。這項挑戰影響了某些醫療保健環境中的市場滲透率和可近性。
法規遵循：了解有關人工智慧技術的複雜監管要求可能很困難。遵守標準和批准會影響開發和市場範圍。
技術整合問題：將人工智慧內視鏡系統與現有醫療技術結合可能很複雜。相容性和互通性問題會影響系統效率和使用者採用率。

這些市場促進因素和挑戰將影響成長機會和策略決策，塑造AI內視鏡市場。技術進步和日益成長的效率需求正在推動市場擴張，而實施成本和監管障礙則帶來了持續的挑戰。

成長機會分析
- 全球人工智慧內視鏡市場的成長機會（按類型）
- 全球人工智慧內視鏡市場的成長機會（按應用）
- 各地區人工智慧內視鏡市場的成長機會
全球AI內視鏡市場的新趨勢
戰略分析
- 新產品開發
- 全球AI內視鏡市場產能擴張
- 全球人工智慧內視鏡市場的合併、收購和合資企業
- 認證和許可

第7章主要企業簡介

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

簡介目錄

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.

Gain valuable insights for your business decisions with our comprehensive 150+ page report.

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?

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