Industry: Service & Software
Published Date: 2025-04-23
Pages: 109 Pages
Report ld: 4715192
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AI-Augmented Data Observability Platform Market Size(US$)

CAGR 2025-2031
11.3%
Market Size,2031
USD 1,986
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global AI-Augmented Data Observability Platform market size was US$ 928 million in 2024 and is forecast to a readjusted size of US$ 1986 million by 2031 with a CAGR of 11.3% during the forecast period 2025-2031.
AI-Augmented Data Observability Platform is a next-generation solution that leverages artificial intelligence and machine learning to automate the monitoring, analysis, and troubleshooting of data pipelines. It continuously tracks data health—detecting anomalies, identifying schema drifts, and ensuring quality—while providing intelligent alerts, root cause analysis, and self-healing recommendations. By combining traditional observability (logs, metrics, traces) with AI-driven insights, it helps organizations proactively maintain reliable, accurate, and trustworthy data across complex modern infrastructures.
The North America AI-Augmented Data Observability Platform market size was US$ million in 2024, while Europe was US$ million. The proportion of the North America was % in 2024, while Europe percentage was %, and it is predicted that Europe share will reach % in 2031, trailing a CAGR of % through the analysis period.
The global key players of AI-Augmented Data Observability Platform include Telmai, Sifflet, Acceldata, Monte Carlo, Arize AI, Logz.io, WhyLabs, iceDQ, Decube, ScienceLogic, etc. In 2024, the global top five players occupied for a share approximately % in terms of revenue.
In North America, in terms of revenue, in 2024, the top three players hold a share about %, while in Europe, top three players hold a share nearly %.
The global AI-Augmented Data Observability Platform market is strategically segmented by company, region (country), by Type, and by Application. This report empowers stakeholders to capitalize on emerging opportunities, optimize product strategies, and outperform competitors through data-driven insights on revenue and forecasts across regions, by Type, and by Application for 2020-2031.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Report scope, executive summary, and market evolution scenarios (short/mid/long term).
Chapter 2: Quantitative analysis of AI-Augmented Data Observability Platform market size and growth potential at global, regional, and country levels.
Chapter 3: Competitive benchmarking of manufacturers (revenue, market share, M&A, R&D focus).
Chapter 4: Type-based segmentation analysis – Uncovering blue ocean markets (e.g., On-premises in China).
Chapter 5: Application-based segmentation analysis – High-growth downstream opportunities (e.g., SMEs in India).
Chapter 6: Regional revenue breakdown by company, type, application and customer.
Chapter 7: Key manufacturer profiles – Financials, product portfolios, and strategic developments.
Chapter 8: Market dynamics – Drivers, restraints, regulatory impacts, and risk mitigation strategies.
Chapter 9: Actionable conclusions and strategic recommendations.
WHY THIS REPORT
Beyond standard market data, this analysis provides a clear profitability roadmap, empowering you to:
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the AI-Augmented Data Observability Platform value chain, addressing:
- Market entry risks/opportunities by region
- Product mix optimization based on local practices
- Competitor tactics in fragmented vs. consolidated markets
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market by Type
1.2.1 Global Market Size Growth by Type: 2020 VS 2024 VS 2031
1.2.2 Cloud Based
1.2.3 On-premises
1.3 Market by Application
1.3.1 Global Market Share by Application: 2020 VS 2024 VS 2031
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI-Augmented Data Observability Platform Market Perspective (2020-2031)
2.2 Global Market Size by Region: 2020 VS 2024 VS 2031
2.3 Global AI-Augmented Data Observability Platform Revenue Market Share by Region (2020-2025)
2.4 Global AI-Augmented Data Observability Platform Revenue Forecast by Region (2026-2031)
2.5 Major Region and Emerging Market Analysis
2.5.1 North America AI-Augmented Data Observability Platform Market Size and Prospective (2020-2031)
2.5.2 Europe AI-Augmented Data Observability Platform Market Size and Prospective (2020-2031)
2.5.3 China AI-Augmented Data Observability Platform Market Size and Prospective (2020-2031)
2.5.4 Japan AI-Augmented Data Observability Platform Market Size and Prospective (2020-2031)
2.5.5 Southeast Asia AI-Augmented Data Observability Platform Market Size and Prospective (2020-2031)
2.5.6 India AI-Augmented Data Observability Platform Market Size and Prospective (2020-2031)
2.5.7 South America AI-Augmented Data Observability Platform Market Size and Prospective (2020-2031)
2.5.8 Middle East AI-Augmented Data Observability Platform Market Size and Prospective (2020-2031)
3 Breakdown Data by Type
3.1 Global AI-Augmented Data Observability Platform Historic Market Size by Type (2020-2025)
3.2 Global AI-Augmented Data Observability Platform Forecasted Market Size by Type (2026-2031)
3.3 Different Types AI-Augmented Data Observability Platform Representative Players
4 Breakdown Data by Application
4.1 Global AI-Augmented Data Observability Platform Historic Market Size by Application (2020-2025)
4.2 Global AI-Augmented Data Observability Platform Forecasted Market Size by Application (2026-2031)
4.3 New Sources of Growth in AI-Augmented Data Observability Platform Application
5 Competition Landscape by Players
5.1 Global Top Players by Revenue
5.1.1 Global Top AI-Augmented Data Observability Platform Players by Revenue (2020-2025)
5.1.2 Global AI-Augmented Data Observability Platform Revenue Market Share by Players (2020-2025)
5.2 Global Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
5.3 Players Covered: Ranking by AI-Augmented Data Observability Platform Revenue
5.4 Global AI-Augmented Data Observability Platform Market Concentration Analysis
5.4.1 Global AI-Augmented Data Observability Platform Market Concentration Ratio (CR5 and HHI)
5.4.2 Global Top 10 and Top 5 Companies by AI-Augmented Data Observability Platform Revenue in 2024
5.5 Global Key Players of AI-Augmented Data Observability Platform Head office and Area Served
5.6 Global Key Players of AI-Augmented Data Observability Platform, Product and Application
5.7 Global Key Players of AI-Augmented Data Observability Platform, Date of Enter into This Industry
5.8 Mergers & Acquisitions, Expansion Plans
6 Region Analysis
6.1 North America Market: Players, Segments and Downstream
6.1.1 North America AI-Augmented Data Observability Platform Revenue by Company (2020-2025)
6.1.2 North America Market Size by Type
6.1.2.1 North America AI-Augmented Data Observability Platform Market Size by Type (2020-2025)
6.1.2.2 North America AI-Augmented Data Observability Platform Market Share by Type (2020-2025)
6.1.3 North America Market Size by Application
6.1.3.1 North America AI-Augmented Data Observability Platform Market Size by Application (2020-2025)
6.1.3.2 North America AI-Augmented Data Observability Platform Market Share by Application (2020-2025)
6.1.4 North America Market Trend and Opportunities
6.2 Europe Market: Players, Segments and Downstream
6.2.1 Europe AI-Augmented Data Observability Platform Revenue by Company (2020-2025)
6.2.2 Europe Market Size by Type
6.2.2.1 Europe AI-Augmented Data Observability Platform Market Size by Type (2020-2025)
6.2.2.2 Europe AI-Augmented Data Observability Platform Market Share by Type (2020-2025)
6.2.3 Europe Market Size by Application
6.2.3.1 Europe AI-Augmented Data Observability Platform Market Size by Application (2020-2025)
6.2.3.2 Europe AI-Augmented Data Observability Platform Market Share by Application (2020-2025)
6.2.4 Europe Market Trend and Opportunities
6.3 China Market: Players, Segments and Downstream
6.3.1 China AI-Augmented Data Observability Platform Revenue by Company (2020-2025)
6.3.2 China Market Size by Type
6.3.2.1 China AI-Augmented Data Observability Platform Market Size by Type (2020-2025)
6.3.2.2 China AI-Augmented Data Observability Platform Market Share by Type (2020-2025)
6.3.3 China Market Size by Application
6.3.3.1 China AI-Augmented Data Observability Platform Market Size by Application (2020-2025)
6.3.3.2 China AI-Augmented Data Observability Platform Market Share by Application (2020-2025)
6.3.4 China Market Trend and Opportunities
6.4 Japan Market: Players, Segments and Downstream
6.4.1 Japan AI-Augmented Data Observability Platform Revenue by Company (2020-2025)
6.4.2 Japan Market Size by Type
6.4.2.1 Japan AI-Augmented Data Observability Platform Market Size by Type (2020-2025)
6.4.2.2 Japan AI-Augmented Data Observability Platform Market Share by Type (2020-2025)
6.4.3 Japan Market Size by Application
6.4.3.1 Japan AI-Augmented Data Observability Platform Market Size by Application (2020-2025)
6.4.3.2 Japan AI-Augmented Data Observability Platform Market Share by Application (2020-2025)
6.4.4 Japan Market Trend and Opportunities
6.5 Southeast Asia Market: Players, Segments and Downstream
6.5.1 Southeast Asia AI-Augmented Data Observability Platform Revenue by Company (2020-2025)
6.5.2 Southeast Asia Market Size by Type
6.5.2.1 Southeast Asia AI-Augmented Data Observability Platform Market Size by Type (2020-2025)
6.5.2.2 Southeast Asia AI-Augmented Data Observability Platform Market Share by Type (2020-2025)
6.5.3 Southeast Asia Market Size by Application
6.5.3.1 Southeast Asia AI-Augmented Data Observability Platform Market Size by Application (2020-2025)
6.5.3.2 Southeast Asia AI-Augmented Data Observability Platform Market Share by Application (2020-2025)
6.5.4 Southeast Asia Market Trend and Opportunities
6.6 India Market: Players, Segments and Downstream
6.6.1 India AI-Augmented Data Observability Platform Revenue by Company (2020-2025)
6.6.2 India Market Size by Type
6.6.2.1 India AI-Augmented Data Observability Platform Market Size by Type (2020-2025)
6.6.2.2 India AI-Augmented Data Observability Platform Market Share by Type (2020-2025)
6.6.3 India Market Size by Application
6.6.3.1 India AI-Augmented Data Observability Platform Market Size by Application (2020-2025)
6.6.3.2 India AI-Augmented Data Observability Platform Market Share by Application (2020-2025)
6.6.4 India Market Trend and Opportunities
7 Key Players Profiles
7.1 Telmai
7.1.1 Telmai Company Details
7.1.2 Telmai Business Overview
7.1.3 Telmai AI-Augmented Data Observability Platform Introduction
7.1.4 Telmai Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.1.5 Telmai Recent Development
7.2 Sifflet
7.2.1 Sifflet Company Details
7.2.2 Sifflet Business Overview
7.2.3 Sifflet AI-Augmented Data Observability Platform Introduction
7.2.4 Sifflet Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.2.5 Sifflet Recent Development
7.3 Acceldata
7.3.1 Acceldata Company Details
7.3.2 Acceldata Business Overview
7.3.3 Acceldata AI-Augmented Data Observability Platform Introduction
7.3.4 Acceldata Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.3.5 Acceldata Recent Development
7.4 Monte Carlo
7.4.1 Monte Carlo Company Details
7.4.2 Monte Carlo Business Overview
7.4.3 Monte Carlo AI-Augmented Data Observability Platform Introduction
7.4.4 Monte Carlo Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.4.5 Monte Carlo Recent Development
7.5 Arize AI
7.5.1 Arize AI Company Details
7.5.2 Arize AI Business Overview
7.5.3 Arize AI AI-Augmented Data Observability Platform Introduction
7.5.4 Arize AI Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.5.5 Arize AI Recent Development
7.6 Logz.io
7.6.1 Logz.io Company Details
7.6.2 Logz.io Business Overview
7.6.3 Logz.io AI-Augmented Data Observability Platform Introduction
7.6.4 Logz.io Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.6.5 Logz.io Recent Development
7.7 WhyLabs
7.7.1 WhyLabs Company Details
7.7.2 WhyLabs Business Overview
7.7.3 WhyLabs AI-Augmented Data Observability Platform Introduction
7.7.4 WhyLabs Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.7.5 WhyLabs Recent Development
7.8 iceDQ
7.8.1 iceDQ Company Details
7.8.2 iceDQ Business Overview
7.8.3 iceDQ AI-Augmented Data Observability Platform Introduction
7.8.4 iceDQ Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.8.5 iceDQ Recent Development
7.9 Decube
7.9.1 Decube Company Details
7.9.2 Decube Business Overview
7.9.3 Decube AI-Augmented Data Observability Platform Introduction
7.9.4 Decube Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.9.5 Decube Recent Development
7.10 ScienceLogic
7.10.1 ScienceLogic Company Details
7.10.2 ScienceLogic Business Overview
7.10.3 ScienceLogic AI-Augmented Data Observability Platform Introduction
7.10.4 ScienceLogic Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.10.5 ScienceLogic Recent Development
7.11 New Relic
7.11.1 New Relic Company Details
7.11.2 New Relic Business Overview
7.11.3 New Relic AI-Augmented Data Observability Platform Introduction
7.11.4 New Relic Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.11.5 New Relic Recent Development
7.12 Informatica
7.12.1 Informatica Company Details
7.12.2 Informatica Business Overview
7.12.3 Informatica AI-Augmented Data Observability Platform Introduction
7.12.4 Informatica Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.12.5 Informatica Recent Development
7.13 IBM
7.13.1 IBM Company Details
7.13.2 IBM Business Overview
7.13.3 IBM AI-Augmented Data Observability Platform Introduction
7.13.4 IBM Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.13.5 IBM Recent Development
7.14 Soda.io
7.14.1 Soda.io Company Details
7.14.2 Soda.io Business Overview
7.14.3 Soda.io AI-Augmented Data Observability Platform Introduction
7.14.4 Soda.io Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.14.5 Soda.io Recent Development
7.15 Lightup
7.15.1 Lightup Company Details
7.15.2 Lightup Business Overview
7.15.3 Lightup AI-Augmented Data Observability Platform Introduction
7.15.4 Lightup Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.15.5 Lightup Recent Development
7.16 Cisco
7.16.1 Cisco Company Details
7.16.2 Cisco Business Overview
7.16.3 Cisco AI-Augmented Data Observability Platform Introduction
7.16.4 Cisco Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.16.5 Cisco Recent Development
7.17 Datadog
7.17.1 Datadog Company Details
7.17.2 Datadog Business Overview
7.17.3 Datadog AI-Augmented Data Observability Platform Introduction
7.17.4 Datadog Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.17.5 Datadog Recent Development
7.18 Dynatrace
7.18.1 Dynatrace Company Details
7.18.2 Dynatrace Business Overview
7.18.3 Dynatrace AI-Augmented Data Observability Platform Introduction
7.18.4 Dynatrace Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.18.5 Dynatrace Recent Development
7.19 Splunk
7.19.1 Splunk Company Details
7.19.2 Splunk Business Overview
7.19.3 Splunk AI-Augmented Data Observability Platform Introduction
7.19.4 Splunk Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.19.5 Splunk Recent Development
7.20 Greptime
7.20.1 Greptime Company Details
7.20.2 Greptime Business Overview
7.20.3 Greptime AI-Augmented Data Observability Platform Introduction
7.20.4 Greptime Revenue in AI-Augmented Data Observability Platform Business (2020-2025)
7.20.5 Greptime Recent Development
8 AI-Augmented Data Observability Platform Market Dynamics
8.1 AI-Augmented Data Observability Platform Industry Trends
8.2 AI-Augmented Data Observability Platform Market Drivers
8.3 AI-Augmented Data Observability Platform Market Challenges
8.4 AI-Augmented Data Observability Platform Market Restraints
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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Published: 2026-03-11
Pages: 135
The global AI-Augmented Data Observability Platform market size was US$ 1045 million in 2025 and is forecast to reach a readjusted size of US$ 2188 million by 2032 with a CAGR of 11.3% during the forecast period 2026-2032.
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Published: 2026-03-09
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The global market for AI-Augmented Data Observability Platform was valued at US$ 928 million in the year 2024 and is projected to reach a revised size of US$ 1986 million by 2031, growing at a CAGR of 11.3% during the forecast period.
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The global AI-Augmented Data Observability Platform market is projected to grow from US$ 1045 million in 2025 to US$ 1986 million by 2031, at a Compound Annual Growth Rate (CAGR) of 11.3% during the forecast period.
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
WHY THIS REPORT
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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