AI-based Data Observability Software Market Size, Share, and Trends 2026 to 2035

AI-based Data Observability Software Market (By Component: Software Platforms, Services; By Deployment Mode: Cloud-based, On-premise, Hybrid; By Capability Type: Anomaly Detection & Alerting, Root Cause Analysis & Auto-triage, Data Lineage & Impact Analysis, SLA Monitoring & Incident Management, Other Capabilities; By End-User Industry: BFSI, IT & Telecom, Retail & E-commerce, Healthcare & Life Sciences, Media & Entertainment, Manufacturing, Government & Public Sector, Energy & Utilities, Other Industries) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 27 Jan 2026  |  Report Code : 7432  |  Category : ICT   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

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 AI-based Data Observability Software Market 

5.1. COVID-19 Landscape: AI-based Data Observability Software 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 AI-based Data Observability Software Market, By Component

8.1. AI-based Data Observability Software Market, by Component

8.1.1. Software Platforms

8.1.1.1. Market Revenue and Forecast

8.1.2. Services

8.1.2.1. Market Revenue and Forecast

Chapter 9. Global AI-based Data Observability Software Market, By Deployment Mode

9.1. AI-based Data Observability Software Market, by Deployment Mode

9.1.1. Cloud-based

9.1.1.1. Market Revenue and Forecast

9.1.2. On-premise

9.1.2.1. Market Revenue and Forecast

9.1.3. Hybrid

9.1.3.1. Market Revenue and Forecast

Chapter 10. Global AI-based Data Observability Software Market, By Capability Type 

10.1. AI-based Data Observability Software Market, by Capability Type

10.1.1. Anomaly Detection & Alerting

10.1.1.1. Market Revenue and Forecast

10.1.2. Root Cause Analysis & Auto-triage

10.1.2.1. Market Revenue and Forecast

10.1.3. Data Lineage & Impact Analysis

10.1.3.1. Market Revenue and Forecast

10.1.4. SLA Monitoring & Incident Management

10.1.4.1. Market Revenue and Forecast

10.1.5. Other Capabilities

10.1.5.1. Market Revenue and Forecast

Chapter 11. Global AI-based Data Observability Software Market, By End-User Industry 

11.1. AI-based Data Observability Software Market, by End-User Industry

11.1.1. BFSI

11.1.1.1. Market Revenue and Forecast

11.1.2. IT & Telecom

11.1.2.1. Market Revenue and Forecast

11.1.3. Retail & E-commerce

11.1.3.1. Market Revenue and Forecast

11.1.4. Healthcare & Life Sciences

11.1.4.1. Market Revenue and Forecast

11.1.5. Media & Entertainment

11.1.5.1. Market Revenue and Forecast

11.1.6. Manufacturing

11.1.6.1. Market Revenue and Forecast

11.1.7. Government & Public Sector

11.1.7.1. Market Revenue and Forecast

11.1.8. Energy & Utilities

11.1.8.1. Market Revenue and Forecast

11.1.9. Other Industries

11.1.9.1. Market Revenue and Forecast

Chapter 12. Global AI-based Data Observability Software Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Component

12.1.2. Market Revenue and Forecast, by Deployment Mode

12.1.3. Market Revenue and Forecast, by Capability Type

12.1.4. Market Revenue and Forecast, by End-User Industry

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Component

12.1.5.2. Market Revenue and Forecast, by Deployment Mode

12.1.5.3. Market Revenue and Forecast, by Capability Type

12.1.5.4. Market Revenue and Forecast, by End-User Industry

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Component

12.1.6.2. Market Revenue and Forecast, by Deployment Mode

12.1.6.3. Market Revenue and Forecast, by Capability Type

12.1.6.4. Market Revenue and Forecast, by End-User Industry

12.2. Europe

12.2.1. Market Revenue and Forecast, by Component

12.2.2. Market Revenue and Forecast, by Deployment Mode

12.2.3. Market Revenue and Forecast, by Capability Type

12.2.4. Market Revenue and Forecast, by End-User Industry

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Component

12.2.5.2. Market Revenue and Forecast, by Deployment Mode

12.2.5.3. Market Revenue and Forecast, by Capability Type

12.2.5.4. Market Revenue and Forecast, by End-User Industry

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Component

12.2.6.2. Market Revenue and Forecast, by Deployment Mode

12.2.6.3. Market Revenue and Forecast, by Capability Type

12.2.6.4. Market Revenue and Forecast, by End-User Industry

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Component

12.2.7.2. Market Revenue and Forecast, by Deployment Mode

12.2.7.3. Market Revenue and Forecast, by Capability Type

12.2.7.4. Market Revenue and Forecast, by End-User Industry

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Component

12.2.8.2. Market Revenue and Forecast, by Deployment Mode

12.2.8.3. Market Revenue and Forecast, by Capability Type

12.2.8.4. Market Revenue and Forecast, by End-User Industry

12.3. APAC

12.3.1. Market Revenue and Forecast, by Component

12.3.2. Market Revenue and Forecast, by Deployment Mode

12.3.3. Market Revenue and Forecast, by Capability Type

12.3.4. Market Revenue and Forecast, by End-User Industry

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Component

12.3.5.2. Market Revenue and Forecast, by Deployment Mode

12.3.5.3. Market Revenue and Forecast, by Capability Type

12.3.5.4. Market Revenue and Forecast, by End-User Industry

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Component

12.3.6.2. Market Revenue and Forecast, by Deployment Mode

12.3.6.3. Market Revenue and Forecast, by Capability Type

12.3.6.4. Market Revenue and Forecast, by End-User Industry

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Component

12.3.7.2. Market Revenue and Forecast, by Deployment Mode

12.3.7.3. Market Revenue and Forecast, by Capability Type

12.3.7.4. Market Revenue and Forecast, by End-User Industry

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Component

12.3.8.2. Market Revenue and Forecast, by Deployment Mode

12.3.8.3. Market Revenue and Forecast, by Capability Type

12.3.8.4. Market Revenue and Forecast, by End-User Industry

12.4. MEA

12.4.1. Market Revenue and Forecast, by Component

12.4.2. Market Revenue and Forecast, by Deployment Mode

12.4.3. Market Revenue and Forecast, by Capability Type

12.4.4. Market Revenue and Forecast, by End-User Industry

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Component

12.4.5.2. Market Revenue and Forecast, by Deployment Mode

12.4.5.3. Market Revenue and Forecast, by Capability Type

12.4.5.4. Market Revenue and Forecast, by End-User Industry

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Component

12.4.6.2. Market Revenue and Forecast, by Deployment Mode

12.4.6.3. Market Revenue and Forecast, by Capability Type

12.4.6.4. Market Revenue and Forecast, by End-User Industry

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Component

12.4.7.2. Market Revenue and Forecast, by Deployment Mode

12.4.7.3. Market Revenue and Forecast, by Capability Type

12.4.7.4. Market Revenue and Forecast, by End-User Industry

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Component

12.4.8.2. Market Revenue and Forecast, by Deployment Mode

12.4.8.3. Market Revenue and Forecast, by Capability Type

12.4.8.4. Market Revenue and Forecast, by End-User Industry

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Component

12.5.2. Market Revenue and Forecast, by Deployment Mode

12.5.3. Market Revenue and Forecast, by Capability Type

12.5.4. Market Revenue and Forecast, by End-User Industry

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Component

12.5.5.2. Market Revenue and Forecast, by Deployment Mode

12.5.5.3. Market Revenue and Forecast, by Capability Type

12.5.5.4. Market Revenue and Forecast, by End-User Industry

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Component

12.5.6.2. Market Revenue and Forecast, by Deployment Mode

12.5.6.3. Market Revenue and Forecast, by Capability Type

12.5.6.4. Market Revenue and Forecast, by End-User Industry

Chapter 13. Company Profiles

13.1. Monte Carlo

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Acceldata

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Telmai

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Sifflet

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Arize AI

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Logz.io

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. WhyLabs

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Decube

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Splunk

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Informatica

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

Answer : The AI-based data observability software market size is expected to increase from USD 1.10 billion in 2025 to USD 3.29 billion by 2035.

Answer : The AI-based data observability software market is expected to grow at a compound annual growth rate (CAGR) of around 11.57% from 2026 to 2035.

Answer : The driving factors of the AI-based data observability software market are the rapid digital transformation, increasing data volumes, and the need for real-time insights.

Answer : North America region will lead the global AI-based data observability software market during the forecast period 2026 to 2035.

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