Artificial Intelligence (AI) In Inflammatory Bowel Disease Market Size, Share, and Trends 2024 to 2034

Artificial Intelligence (AI) in Inflammatory Bowel Disease Market (By Technology: Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision; By End-User: Consumer Healthcare, Pharmaceutical Companies, Research And Development Sector; By IBD Type: Crohn’s Disease, Ulcerative Colitis; By Application: Diagnosis, Prognosis, Treatment, Monitoring ) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2025-2034

  • Last Updated : January 2025
  • Report Code : 3355
  • Category : ICT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) In Inflammatory Bowel Disease Market 

5.1. COVID-19 Landscape: Artificial Intelligence (AI) In Inflammatory Bowel Disease Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial Intelligence (AI) In Inflammatory Bowel Disease Market, By Technology

8.1. Artificial Intelligence (AI) In Inflammatory Bowel Disease Market, by Technology, 2023-2032

8.1.1. Machine Learning

8.1.1.1. Market Revenue and Forecast

8.1.2. Natural Language Processing

8.1.2.1. Market Revenue and Forecast

8.1.3. Context-Aware Computing

8.1.3.1. Market Revenue and Forecast

8.1.4. Computer Vision

8.1.4.1. Market Revenue and Forecast

Chapter 9. Global Artificial Intelligence (AI) In Inflammatory Bowel Disease Market, By End-User

9.1. Artificial Intelligence (AI) In Inflammatory Bowel Disease Market, by End-User, 2023-2032

9.1.1. Consumer Healthcare

9.1.1.1. Market Revenue and Forecast

9.1.2. Pharmaceutical Companies

9.1.2.1. Market Revenue and Forecast

9.1.3. Research And Development Sector

9.1.3.1. Market Revenue and Forecast

Chapter 10. Global Artificial Intelligence (AI) In Inflammatory Bowel Disease Market, By IBD Type 

10.1. Artificial Intelligence (AI) In Inflammatory Bowel Disease Market, by IBD Type, 2023-2032

10.1.1. Crohn’s Disease

10.1.1.1. Market Revenue and Forecast

10.1.2. Ulcerative Colitis

10.1.2.1. Market Revenue and Forecast

Chapter 11. Global Artificial Intelligence (AI) In Inflammatory Bowel Disease Market, By Application 

11.1. Artificial Intelligence (AI) In Inflammatory Bowel Disease Market, by Application, 2023-2032

11.1.1. Diagnosis

11.1.1.1. Market Revenue and Forecast

11.1.2. Prognosis

11.1.2.1. Market Revenue and Forecast

11.1.3. Treatment

11.1.3.1. Market Revenue and Forecast

11.1.4. Monitoring

11.1.4.1. Market Revenue and Forecast

Chapter 12. Global Artificial Intelligence (AI) In Inflammatory Bowel Disease Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Technology

12.1.2. Market Revenue and Forecast, by End-User

12.1.3. Market Revenue and Forecast, by IBD Type

12.1.4. Market Revenue and Forecast, by Application

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Technology

12.1.5.2. Market Revenue and Forecast, by End-User

12.1.5.3. Market Revenue and Forecast, by IBD Type

12.1.5.4. Market Revenue and Forecast, by Application

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Technology

12.1.6.2. Market Revenue and Forecast, by End-User

12.1.6.3. Market Revenue and Forecast, by IBD Type

12.1.6.4. Market Revenue and Forecast, by Application

12.2. Europe

12.2.1. Market Revenue and Forecast, by Technology

12.2.2. Market Revenue and Forecast, by End-User

12.2.3. Market Revenue and Forecast, by IBD Type

12.2.4. Market Revenue and Forecast, by Application

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Technology

12.2.5.2. Market Revenue and Forecast, by End-User

12.2.5.3. Market Revenue and Forecast, by IBD Type

12.2.5.4. Market Revenue and Forecast, by Application

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Technology

12.2.6.2. Market Revenue and Forecast, by End-User

12.2.6.3. Market Revenue and Forecast, by IBD Type

12.2.6.4. Market Revenue and Forecast, by Application

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Technology

12.2.7.2. Market Revenue and Forecast, by End-User

12.2.7.3. Market Revenue and Forecast, by IBD Type

12.2.7.4. Market Revenue and Forecast, by Application

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Technology

12.2.8.2. Market Revenue and Forecast, by End-User

12.2.8.3. Market Revenue and Forecast, by IBD Type

12.2.8.4. Market Revenue and Forecast, by Application

12.3. APAC

12.3.1. Market Revenue and Forecast, by Technology

12.3.2. Market Revenue and Forecast, by End-User

12.3.3. Market Revenue and Forecast, by IBD Type

12.3.4. Market Revenue and Forecast, by Application

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Technology

12.3.5.2. Market Revenue and Forecast, by End-User

12.3.5.3. Market Revenue and Forecast, by IBD Type

12.3.5.4. Market Revenue and Forecast, by Application

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Technology

12.3.6.2. Market Revenue and Forecast, by End-User

12.3.6.3. Market Revenue and Forecast, by IBD Type

12.3.6.4. Market Revenue and Forecast, by Application

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Technology

12.3.7.2. Market Revenue and Forecast, by End-User

12.3.7.3. Market Revenue and Forecast, by IBD Type

12.3.7.4. Market Revenue and Forecast, by Application

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Technology

12.3.8.2. Market Revenue and Forecast, by End-User

12.3.8.3. Market Revenue and Forecast, by IBD Type

12.3.8.4. Market Revenue and Forecast, by Application

12.4. MEA

12.4.1. Market Revenue and Forecast, by Technology

12.4.2. Market Revenue and Forecast, by End-User

12.4.3. Market Revenue and Forecast, by IBD Type

12.4.4. Market Revenue and Forecast, by Application

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Technology

12.4.5.2. Market Revenue and Forecast, by End-User

12.4.5.3. Market Revenue and Forecast, by IBD Type

12.4.5.4. Market Revenue and Forecast, by Application

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Technology

12.4.6.2. Market Revenue and Forecast, by End-User

12.4.6.3. Market Revenue and Forecast, by IBD Type

12.4.6.4. Market Revenue and Forecast, by Application

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Technology

12.4.7.2. Market Revenue and Forecast, by End-User

12.4.7.3. Market Revenue and Forecast, by IBD Type

12.4.7.4. Market Revenue and Forecast, by Application

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Technology

12.4.8.2. Market Revenue and Forecast, by End-User

12.4.8.3. Market Revenue and Forecast, by IBD Type

12.4.8.4. Market Revenue and Forecast, by Application

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Technology

12.5.2. Market Revenue and Forecast, by End-User

12.5.3. Market Revenue and Forecast, by IBD Type

12.5.4. Market Revenue and Forecast, by Application

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Technology

12.5.5.2. Market Revenue and Forecast, by End-User

12.5.5.3. Market Revenue and Forecast, by IBD Type

12.5.5.4. Market Revenue and Forecast, by Application

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Technology

12.5.6.2. Market Revenue and Forecast, by End-User

12.5.6.3. Market Revenue and Forecast, by IBD Type

12.5.6.4. Market Revenue and Forecast, by Application

Chapter 13. Company Profiles

13.1. IBM

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Google AI

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Microsoft

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. GE Healthcare

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Johnson & Johnson

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Philips Healthcare

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Nuance Communications

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Zebra Technologies

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Medtronic

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Boston Scientific

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

The major players operating in the artificial intelligence (AI) in inflammatory bowel disease market are IBM, Google AI, Microsoft, GE Healthcare, Johnson & Johnson, Philips Healthcare, Nuance Communications, Zebra Technologies, Medtronic, Boston Scientific, Olympus, and Othrers.

The driving factors of the artificial intelligence (AI) in inflammatory bowel disease market are the increased prevalence of ulcerative colitis & Crohn's disease and artificial intelligence-driven healthcare apps are a booming sector.

North America region will lead the global artificial intelligence (AI) in inflammatory bowel disease market during the forecast period 2025 to 2034.

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