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Artificial Intelligence (AI)-Based Data Observability Software Market Value Growth And Long-Term Outlook
The artificial intelligence (AI)-based data observability software market size has seen swift expansion in recent years. This market is forecast to increase from $1.08 billion in 2025 to $1.23 billion in 2026, achieving a compound annual growth rate (CAGR) of 14.2%. Historically, its growth can be linked to factors like the escalating volume and intricacy of data, a growing need for dependable business data, the rising complexity of data pipelines, an increase in the frequency of data quality issues, and the heightened requirement for real-time data monitoring.
The market for artificial intelligence (AI)-based data observability software is projected to experience substantial expansion in the coming years, with its value anticipated to reach $2.06 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 13.8%. This growth is primarily driven by factors such as a heightened demand for automated data issue resolution, a greater embrace of predictive data observability solutions, an escalating requirement for ongoing data quality assurance, a surge in demand for intelligent anomaly detection capabilities, and an intensified emphasis on managing data reliability proactively. Key developments expected during this period involve the wider adoption of AI-based data anomaly detection, an escalating need for automated data quality monitoring, expanded deployment of predictive data pipeline monitoring, a stronger focus on resolving data issues preventively, and an increasing call for continuous data health monitoring.
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Artificial Intelligence (AI)-Based Data Observability Software Market Growth Factors Behind Sustained Expansion
The future expansion of the artificial intelligence-based data observability software market is anticipated to be fueled by the growing integration of artificial intelligence and machine learning within various enterprises. This refers to organizations employing intelligent algorithms and predictive models to automate decision-making processes, streamline business operations, and derive actionable insights from extensive datasets. The heightened uptake of artificial intelligence and machine learning is attributed to the expanding availability of enterprise data, alongside the imperative for organizations to boost operational efficiency, quicken the pace of innovation, and facilitate swifter data-driven choices. Such widespread adoption supports artificial intelligence-based data observability software by fostering an elevated requirement for dependable, high-quality, and consistently monitored data pipelines, which are crucial for guaranteeing precise inputs for AI models and various analytics applications. An illustrative example comes from July 2025, when the United States Government Accountability Office, a US-based government department, reported that AI use cases across 11 reviewed federal agencies almost doubled, climbing from 571 in 2023 to 1,110 in 2024. Concurrently, generative AI applications saw an approximate ninefold increase, rising from 32 to 282. Consequently, the expanding implementation of AI and machine learning within enterprises is propelling the expansion of the artificial intelligence-based data observability software market.
Artificial Intelligence (AI)-Based Data Observability Software Market Breakdown By Product Type And Application
The artificial intelligence (AI)-based data observability software market covered in this report is segmented –
1) By Component: Software, Services
2) By Deployment Mode: Cloud, On-Premises, Hybrid
3) By Organization Size: Small And Medium Enterprises, Large Enterprises
4) By Application: Data Quality Monitoring, Data Pipeline Monitoring, Anomaly Detection
5) By End User Industry: Information Technology And Telecommunications, Banking Financial Services And Insurance, Retail And E Commerce, Healthcare And Life Sciences, Manufacturing, Other End User Industries
Subsegments:
1) By Software: Data Quality Monitoring Software, Data Pipeline Monitoring Software, Data Lineage Software, Anomaly Detection Software, Metadata Management Software
2) By Services: Consulting Services, Implementation Services, Managed Services, Support And Maintenance Services, Training Services
Artificial Intelligence (AI)-Based Data Observability Software Market Industry Trends Fueling Future Revenue Growth
Leading firms in the artificial intelligence (AI)-based data observability software market are concentrating on creating sophisticated solutions, like adaptive AI-powered anomaly detection, with the aim of boosting data quality, automating the identification of anomalies, and strengthening enterprise data reliability. Adaptive artificial intelligence (AI)-powered anomaly detection signifies an intelligent feature that continually learns from data patterns to automatically pinpoint, prioritize, and assist in resolving intricate anomalies across data pipelines and enterprise systems. As an example, in April 2025, Acceldata, a US-based firm offering AI-powered data observability and agentic data management solutions, introduced Adaptive AI Anomaly Detection, an advanced feature incorporated into its xLake Reasoning Engine. This solution independently discovers hidden multi-dimensional data anomalies, decreases manual investigation time from weeks to minutes, and empowers AI agents to proactively pinpoint, prioritize, and resolve data quality problems, thereby enhancing operational efficiency and guaranteeing reliable data for artificial intelligence and analytics workloads.
Artificial Intelligence (AI)-Based Data Observability Software Market Competitive Landscape: Who Leads The Industry?
Major companies operating in the artificial intelligence (AI)-based data observability software market are Amazon Web Services Inc., Anomalo Inc., Arize AI Inc., Atlan Technologies Inc., Bigeye Inc., Collibra NV, Databricks Inc., Datadog Inc., Datafold Inc., DQLabs Inc., Dynatrace LLC, Elastic N.V., Lightup Data Inc., Microsoft Corporation, Monte Carlo Data Inc., Pantomath Inc., Sifflet SAS, Soda Data Inc., Starburst Data Inc., Superconductive Inc., Acceldata Inc., Alation Inc., Cribl Inc., Google LLC, International Business Machines Corporation
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Artificial Intelligence (AI)-Based Data Observability Software Market Geographic Landscape: Which Region Dominates Industry Growth?
North America was the largest region in the artificial intelligence (AI)-based data observability software market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI)-based data observability software market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.