AI in Endoscopy Market Size, Share & Trends Analysis Distribution, By Type of Endoscopy (Gastrointestinal Endoscopy, Urological Endoscopy, Respiratory Endoscopy, Colonoscopy, and Other Types), By Type of Component (Hardware, Software and Services), By Type of CAD (CADx, and CADe), By Type of Technology (Cloud, Hybrid, and On-Premises), By Type of Functionality, By Type of Product, and Segment Forecasts, 2025-2034

Report Id: 3236 Pages: 180 Last Updated: 24 October 2025 Format: PDF / PPT / Excel / Power BI
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Segmentation of AI in Endoscopy Market -

AI in Endoscopy Market by Type of Endoscopy-

·         Gastrointestinal Endoscopy

·         Urological Endoscopy

·         Respiratory Endoscopy

·         Colonoscopy

·         Other Types

AI in Endoscopy Market

AI in Endoscopy Market by Type of Component-

·         Hardware

·         Software

·         Services

AI in Endoscopy Market by Type of CAD-

·         CADx

·         CADe

AI in Endoscopy Market by Type of Technology-

·         Cloud

·         Hybrid

·         On-Premises

AI in Endoscopy Market by Type of Functionality-

·         Image Capture and Processing

·         Data Management

·         Enhanced Visualization

·         Real-time Decision Support

·         Training and Simulation Systems

AI in Endoscopy Market by Type of Product-

·         AI-Driven Imaging Systems

·         AI-Powered Endoscopic Equipment

·         Wearable Endoscopy Devices

·         Consumables Used in AI Endoscopy

·         Software Solutions for AI Integration

AI in Endoscopy Market by Region-

North America-

·         The US

·         Canada

Europe-

·         Germany

·         The UK

·         France

·         Italy

·         Spain

·         Rest of Europe

Asia-Pacific-

·         China

·         Japan

·         India

·         South Korea

·         Southeast Asia

·         Rest of Asia Pacific

Latin America-

·         Brazil

·         Mexico

·         Rest of Latin America

 Middle East & Africa-

·         GCC Countries

·         South Africa

·         Rest of the Middle East and Africa

Chapter 1.    Methodology and Scope
1.1.    Research Methodology
1.2.    Research Scope & Assumptions

Chapter 2.    Executive Summary

Chapter 3.    Global AI in Endoscopy Market Snapshot

Chapter 4.    Global AI in Endoscopy Market Variables, Trends & Scope
4.1.    Market Segmentation & Scope
4.2.    Drivers
4.3.    Challenges
4.4.    Trends 
4.5.    Investment and Funding Analysis 
4.6.    Porter's Five Forces Analysis
4.7.    Incremental Opportunity Analysis (US$ MN), 2025-2034 
4.8.    Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.9.    Use/impact of AI on AI in Endoscopy Market Industry Trends 
4.10.    Global AI in Endoscopy Market Penetration & Growth Prospect Mapping (US$ Mn), 2024-2034

Chapter 5.    AI in Endoscopy Market Segmentation 1: By Endoscopy, Estimates & Trend Analysis
5.1.    Market Share by Endoscopy, 2024 & 2034
5.2.    Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Endoscopy:

5.2.1.    Gastrointestinal Endoscopy
5.2.2.    Urological Endoscopy
5.2.3.    Respiratory Endoscopy
5.2.4.    Colonoscopy
5.2.5.    Other Types 

Chapter 6.    AI in Endoscopy Market Segmentation 2: By CAD, Estimates & Trend Analysis
6.1.    Market Share by CAD, 2024 & 2034
6.2.    Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following CAD:

6.2.1.    CADx
6.2.2.    CADe 

Chapter 7.    AI in Endoscopy Market Segmentation 3: By Product, Estimates & Trend Analysis
7.1.    Market Share by Product, 2024 & 2034
7.2.    Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Product:

7.2.1.    AI-Driven Imaging Systems
7.2.2.    AI-Powered Endoscopic Equipment
7.2.3.    Wearable Endoscopy Devices
7.2.4.    Consumables Used in AI Endoscopy
7.2.5.    Software Solutions for AI Integration 

Chapter 8.    AI in Endoscopy Market Segmentation 4: By Component, Estimates & Trend Analysis
8.1.    Market Share by Component, 2024 & 2034
8.2.    Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Component:

8.2.1.    Hardware
8.2.2.    Software
8.2.3.    Services

Chapter 9.    AI in Endoscopy Market Segmentation 5: By Deployment Mode, Estimates & Trend Analysis
9.1.    Market Share by Deployment Mode, 2024 & 2034
9.2.    Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Deployment Mode:

9.2.1.    Cloud-Based
9.2.2.    On-Premise
9.2.3.    Hybrid

Chapter 10.    AI in Endoscopy Market Segmentation 6: By Functionality, Estimates & Trend Analysis
10.1.    Market Share by Functionality, 2024 & 2034
10.2.    Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Functionality:

10.2.1.    Image Capture and Processing
10.2.2.    Data Management
10.2.3.    Enhanced Visualization
10.2.4.    Real-time Decision Support
10.2.5.    Training and Simulation Systems 

Chapter 11.    AI in Endoscopy Market Segmentation 8: Regional Estimates & Trend Analysis
11.1.    Global AI in Endoscopy Market, Regional Snapshot 2024 & 2034
11.2.    North America

11.2.1.    North America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034

11.2.1.1.    US
11.2.1.2.    Canada

11.2.2.    North America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Endoscopy, 2021-2034
11.2.3.    North America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by CAD, 2021-2034
11.2.4.    North America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
11.2.5.    North America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
11.2.6.    North America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.2.7.    North America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2021-2034

11.3.    Europe

11.3.1.    Europe AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034

11.3.1.1.    Germany
11.3.1.2.    U.K.
11.3.1.3.    France
11.3.1.4.    Italy
11.3.1.5.    Spain
11.3.1.6.    Rest of Europe

11.3.2.    Europe AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Endoscopy, 2021-2034
11.3.3.    Europe AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by CAD, 2021-2034
11.3.4.    Europe AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
11.3.5.    Europe AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
11.3.6.    Europe AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.3.7.    Europe AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2021-2034

11.4.    Asia Pacific

11.4.1.    Asia Pacific AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034

11.4.1.1.    India 
11.4.1.2.    China
11.4.1.3.    Japan
11.4.1.4.    Australia
11.4.1.5.    South Korea
11.4.1.6.    Hong Kong
11.4.1.7.    Southeast Asia
11.4.1.8.    Rest of Asia Pacific

11.4.2.    Asia Pacific AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Endoscopy, 2021-2034
11.4.3.    Asia Pacific AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by CAD, 2021-2034
11.4.4.    Asia Pacific AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
11.4.5.    Asia Pacific AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
11.4.6.    Asia Pacific AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.4.7.    Asia Pacific AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2021-2034

11.5.    Latin America

11.5.1.    Latin America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034

11.5.1.1.    Brazil
11.5.1.2.    Mexico
11.5.1.3.    Rest of Latin America

11.5.2.    Latin America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Endoscopy, 2021-2034
11.5.3.    Latin America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by CAD, 2021-2034
11.5.4.    Latin America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
11.5.5.    Latin America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
11.5.6.    Latin America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.5.7.    Latin America AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2021-2034

11.6.    Middle East & Africa 

11.6.1.    Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

11.6.1.1.    GCC Countries
11.6.1.2.    Israel
11.6.1.3.    South Africa
11.6.1.4.    Rest of Middle East and Africa

11.6.2.    Middle East & Africa AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Endoscopy, 2021-2034
11.6.3.    Middle East & Africa AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by CAD, 2021-2034
11.6.4.    Middle East & Africa AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
11.6.5.    Middle East & Africa AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
11.6.6.    Middle East & Africa AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.6.7.    Middle East & Africa AI in Endoscopy Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2021-2034

Chapter 12.    Competitive Landscape
12.1.    Major Mergers and Acquisitions/Strategic Alliances
12.2.    Company Profiles

12.2.1.    Ambu (Denmark)

12.2.1.1.    Business Overview
12.2.1.2.    Key Type/Service Overview
12.2.1.3.    Financial Performance
12.2.1.4.    Geographical Presence
12.2.1.5.    Recent Developments with Business Strategy

12.2.2.    Fujifilm (Japan)
12.2.3.    Hoya (Japan)
12.2.4.    Intuitive Surgical (US)
12.2.5.    Iterative Scopes (US)
12.2.6.    Magentiq Eye (Israel)
12.2.7.    Medtronic (Ireland)
12.2.8.    NEC (Japan)
12.2.9.    Olympus (Japan)
12.2.10.    PENTAX Medical (Japan)
12.2.11.    Wision Al (China)
12.2.12.    Wuhan EndoAngel Medical Technology (China) L 

 

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

The AI in Endoscopy market Size is valued at US$ 2.2 Bn in 2024 and is predicted to reach US$ 10.9 Bn by the year 2034 at an 17.9% CAGR over the forecast period.

The major players in the AI in Endoscopy market are Ambu (Denmark), Fujifilm (Japan), Hoya (Japan), Intuitive Surgical (US), Iterative Scopes (US), Magentiq Eye (Israel), Medtronic (Ireland), NEC (Japan), Olympus (Japan), PENTAX Medical (Japan), Wision Al (China), and Wuhan EndoAngel Medical Technology (China).

The primary AI in Endoscopy market segments are by type of click chemistry reaction, by type of molecule, by application area, and by region.

North America leads the market for AI in Endoscopy due to the increasing adoption of AI-powered endoscopic equipment for real-time disease detection.

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