PUBLISHER: The Business Research Company | PRODUCT CODE: 2149386
PUBLISHER: The Business Research Company | PRODUCT CODE: 2149386
Artificial intelligence (AI)-based data observability software is a software solution that applies AI and machine learning technologies to continuously monitor, evaluate, and manage the health, quality, and reliability of data across complex data environments. It delivers real-time visibility into data pipelines, identifies anomalies, and supports proactive problem resolution through intelligent insights and automated analysis. Artificial intelligence (AI)-based data observability software enables organizations to enhance data accuracy, improve operational efficiency, and maintain dependable data for business decision-making.
The primary components of artificial intelligence (AI)-based data observability software include software and services. Software refers to digital solutions that leverage artificial intelligence to monitor, evaluate, and detect 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 include data quality monitoring, data pipeline monitoring, and anomaly detection, and they are utilized 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.
Tariffs are influencing the artificial intelligence (AI)-based data observability software market by increasing the cost of imported servers, data center equipment, networking hardware, and semiconductor components used to support data-intensive software environments. This can increase infrastructure and deployment expenses for organizations operating large-scale data platforms, particularly in regions that depend on imported technology such as Asia-Pacific and Europe. Hardware-intensive supporting infrastructure and on-premises data environments are more exposed to these cost pressures than cloud-based deployments because they require greater physical equipment investment. However, tariffs are also promoting regional technology sourcing, cloud adoption, infrastructure diversification, and increased investment in domestic data infrastructure, supporting long-term resilience in the market.
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 artificial intelligence (AI)-based data observability software market statistics, including artificial intelligence (AI)-based data observability software industry global market size, regional shares, competitors with a artificial intelligence (AI)-based data observability software market share, detailed artificial intelligence (AI)-based data observability software 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. This artificial intelligence (AI)-based data observability software market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The artificial intelligence (AI)-based data observability software market size has grown rapidly in recent years. It will grow from $1.08 billion in 2025 to $1.23 billion in 2026 at a compound annual growth rate (CAGR) of 14.2%. The growth in the historic period can be attributed to expanding data volumes and complexity, rising need for dependable business data, growing complexity of data pipelines, increasing occurrence of data quality problems, rising demand for real-time data quality monitoring.
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 growing demand for automated resolution of data issues, increasing adoption of predictive data observability solutions, rising need for continuous data quality assurance, expanding demand for intelligent anomaly detection, and increasing focus on proactive data reliability management. Major trends in the forecast period include growing adoption of AI-based data anomaly detection, increasing demand for automated data quality monitoring, rising use of predictive data pipeline monitoring, increasing emphasis on proactive resolution of data issues, and growing demand for continuous data health monitoring.
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 refer 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 increased 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.
Leading 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 example, 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.
In April 2025, Datadog, Inc., a US-based provider of cloud application observability and security solutions, acquired Metaplane for an undisclosed amount. Through this acquisition, Datadog aimed to accelerate its expansion into AI-based data observability software by enhancing its technological capabilities for monitoring data quality throughout the data lifecycle and integrating application and data observability for enterprises developing 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, identify anomalies, track schema modifications, analyze data lineage, and deliver proactive alerts across modern data pipelines.
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
North America was the dominating region in the artificial intelligence (AI)-based data observability software market in 2025. Asia-Pacific is expected to be the rapidly 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.
The countries covered in the artificial intelligence (AI)-based data observability software market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
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.
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.
Artificial Intelligence (AI)-Based Data Observability Software Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses artificial intelligence (ai)-based data observability software market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for artificial intelligence (ai)-based data observability software? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai)-based data observability software market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
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