Artificial Intelligence (AI)-Based Data Observability Software Market Report 2026

Artificial Intelligence (AI)-Based Data Observability Software Market Overview

• Artificial Intelligence (AI)-Based Data Observability Software market size has reached to $1.08 billion in 2025 • Expected to grow to $2.06 billion in 2030 at a compound annual growth rate (CAGR) of 13.8% • Growth Driver: Surge In AI And Machine Learning Adoption Across Enterprises Fueling The Market Growth Due To Rising Data Management Needs • Market Trend: Adaptive Artificial Intelligence (AI)-Powered Anomaly Detection Innovations Strengthen AI-Based Data Observability Software • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Artificial Intelligence (AI)-Based Data Observability Software Market?

Artificial intelligence (AI)-based data observability software is a solution that uses AI and machine learning to continuously monitor, analyze, and manage the health, quality, and reliability of data across complex data environments. It provides real-time visibility into data pipelines, detects anomalies, and enables proactive issue resolution through intelligent insights and automated analysis. Artificial intelligence (AI)-based data observability software helps organizations improve data accuracy, strengthen operational efficiency, and maintain reliable data for business decision-making. The main components of artificial intelligence (AI)-based data observability software include software and services. Software refers to digital solutions that use artificial intelligence to monitor, analyze, and identify issues affecting data quality, reliability, and performance across data environments. These solutions are deployed through cloud, On-Premises, and hybrid models and are adopted by small and medium enterprises, and large enterprises. The various applications involved are data quality monitoring, data pipeline monitoring, and anomaly detection, and they are used by several end user industries such as information technology and telecommunications, banking, financial services, and insurance, retail and e commerce, healthcare and life sciences, manufacturing, and others.

What Is The Artificial Intelligence (AI)-Based Data Observability Software Market Growth Forecast?

The artificial intelligence (AI)-based data observability software market size is expected to see rapid growth in the next few years. It will grow to $2.06 billion in 2030 at a compound annual growth rate (CAGR) of 13.8%. The growth in the forecast period can be attributed to increasing demand for automated data issue resolution, rising adoption of predictive data observability, growing need for continuous data quality assurance, increasing demand for intelligent anomaly detection, rising focus on proactive data reliability management. Major trends in the forecast period include increasing adoption of ai-based data anomaly detection, rising demand for automated data quality monitoring, growing use of predictive data pipeline monitoring, increasing focus on proactive data issue resolution, rising demand for continuous data health monitoring.

What Is The Driver Of The Artificial Intelligence (AI)-Based Data Observability Software Market?

The increasing adoption of artificial intelligence and machine learning across enterprises is expected to propel the growth of the artificial intelligence-based data observability software market going forward. Artificial intelligence and machine learning across enterprises refers to the use of intelligent algorithms and predictive models by organizations to automate decision-making, optimize business processes, and generate actionable insights from large volumes of data. The adoption of artificial intelligence and machine learning is increasing due to the growing availability of enterprise data and the need for organizations to improve operational efficiency, accelerate innovation, and make faster data-driven decisions. This adoption supports artificial intelligence-based data observability software by creating greater demand for reliable, high-quality, and continuously monitored data pipelines that ensure accurate inputs for AI models and analytics applications. For instance, in July 2025, according to the United States Government Accountability Office, a US-based government department, AI use cases across 11 reviewed federal agencies nearly doubled from 571 in 2023 to 1,110 in 2024, while generative AI applications surged nearly ninefold from 32 to 282. Therefore, the increasing adoption of AI and machine learning across enterprises is driving the growth of the artificial intelligence-based data observability software market.

Key Players In The Global Artificial Intelligence (AI)-Based Data Observability Software Market

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

Global Artificial Intelligence (AI)-Based Data Observability Software Market Trends and Insights

Major companies operating in the artificial intelligence (AI)-based data observability software market are focusing on developing advanced solutions, such as adaptive artificial intelligence (AI)-powered anomaly detection, to improve data quality, automate anomaly detection, and enhance enterprise data reliability. Adaptive artificial intelligence (AI)-powered anomaly detection refers to an intelligent capability that continuously learns from data patterns to automatically identify, prioritize, and help resolve complex anomalies across data pipelines and enterprise systems. For instance, in April 2025, Acceldata, a US-based provider of AI-powered data observability and agentic data management solutions, launched Adaptive AI Anomaly Detection, an advanced capability integrated into its xLake Reasoning Engine. The solution autonomously detects hidden multi-dimensional data anomalies, reduces manual investigation time from weeks to minutes, and enables AI agents to proactively identify, prioritize, and resolve data quality issues, improving operational efficiency and ensuring trusted data for artificial intelligence and analytics workloads.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI)-Based Data Observability Software Market?

In April 2025, Datadog, Inc., a US-based provider of cloud application observability and security solutions, acquired Metaplane for an undisclosed amount. With this acquisition, Datadog aims to accelerate its expansion into the artificial intelligence (AI)-based data observability software market by strengthening its technological capabilities to monitor data quality across the entire data lifecycle and unify application and data observability for enterprises building AI-driven systems. Metaplane is a US-based end-to-end data observability platform that uses artificial intelligence (AI) and machine learning (ML) to continuously monitor data quality, detect anomalies, track schema changes, analyze data lineage, and provide proactive alerts across modern data pipelines.

What Defines the Artificial Intelligence (AI)-Based Data Observability Software Market?

The artificial intelligence (AI)-based data observability software market consists of revenues earned by entities by providing services such as predictive data quality monitoring, schema change detection, automated root cause analysis, and data lineage tracking. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Artificial Intelligence (AI)-Based Data Observability Software Market Report 2026?

The artificial intelligence (ai)-based data observability software market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (ai)-based data observability software industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.