Data Observability Global Market Report 2025

Data observability refers to the capability to monitor, track, and understand the health and behavior of data systems by providing comprehensive visibility into the entire data lifecycle. It proactively detects and resolves real-time issues, ensuring data reliability, quality, and performance. Data observability is essential for organizations that depend on data-driven decision-making, as it helps maintain trust in data systems, reduces downtime, and supports the seamless operation of data pipelines.

The primary components of the data observability market are solutions and services. A solution refers to a software or tool designed to meet specific needs, such as monitoring and enhancing data performance. These solutions play a vital role in helping organizations ensure the reliability of their data pipelines. They can be deployed through cloud-based, on-premises, or hybrid models. Data observability solutions are used across various industries, including banking, financial services, and insurance (BFSI), information technology (IT) and telecom, government and public sector, energy and utilities, manufacturing, healthcare and life sciences, retail and consumer goods, among other sectors.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

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

The data observability market size has grown rapidly in recent years. It will grow from $2.53 billion in 2024 to $2.94 billion in 2025 at a compound annual growth rate (CAGR) of 16.1%. The growth in the historic period can be attributed to increase in demand for data-driven decision-making, growth in volume of data, expansion of cloud-based solutions, rise in adoption of artificial intelligence and machine learning technologies, and emergence of big data analytics solutions.

The data observability market size is expected to see rapid growth in the next few years. It will grow to $5.23 billion in 2029 at a compound annual growth rate (CAGR) of 15.5%. The growth in the forecast period can be attributed to rising need for enhanced compliance solutions, rising demand for real-time data insights, growing focus on data quality management, rising importance of automated monitoring solutions, and growing need for enhanced visualization tools. Major trends in the forecast period include advancements in real-time monitoring, automated anomaly detection, adoption of data lineage visualization, adoption of AI-driven insights, enhanced data quality management, integration with cloud platforms, and advancements alerting systems.

The forecast of 15.5% growth over the next five years reflects a modest reduction of 0.2% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. The U.S. data observability market may suffer disruptions from tariffs on telemetry tools and foreign AIOps technologies, leading to visibility gaps in cloud-native environments. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The expansion of cloud computing is expected to significantly drive the growth of the data observability market in the coming years. Cloud computing provides services such as servers, storage, databases, networking, software, and analytics over the internet, enabling users to access shared resources on demand while reducing the need for physical infrastructure management. This growth in cloud computing is fueled by its scalability, flexibility, and cost efficiency, which allow organizations to quickly adjust to changing demands and optimize their IT resources. Data observability solutions are crucial in cloud computing environments as they offer visibility and control over complex data flows, ensuring real-time accuracy, performance, and compliance. For example, in December 2023, Eurostat, a Luxembourg-based government agency, reported that around 42.5% of European Union businesses purchased cloud computing services in 2023, primarily for email, file storage, and office software. This marked a 4.2 percentage point increase compared to 2021. As a result, the expansion of cloud computing is driving the growth of the data observability market.

Key players in the data observability market are focusing on technological advancements, such as integrating artificial intelligence (AI) into data observability, to improve the accuracy, efficiency, and scalability of data monitoring. This enables real-time anomaly detection, predictive insights, and the automated resolution of data issues across complex systems. AI refers to the development of machines that can perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making, improving over time through experience. For instance, in May 2024, Riverbed Technology LLC, a US-based IT company, launched its AI-powered Riverbed platform, designed to optimize digital experiences by utilizing data and AI for enhanced observability and intelligence. Key features include a unified agent for simplified deployment across IT environments, the Riverbed data store for processing data without separate repositories, and improved observability by integrating data from networks, applications, and cloud infrastructures. The platform also includes AIOps for automated analysis and remediation, as well as new solutions such as Aternity mobile for mobile monitoring and NPM+ for network performance monitoring in cloud and zero-trust environments.

In July 2024, International Business Machines Corporation (IBM), a US-based technology company, acquired StreamSets and webMethods from Software AG for $2.33 billion. This acquisition strengthens IBM's data integration and AI capabilities by enabling real-time data pipelines and enhancing support for hybrid multi-cloud environments. Software AG, a Germany-based technology company, specializes in enhancing data observability, particularly through its DataOps initiatives and IoT data management solutions.

Major players in the data observability market are Alphabet (Google LLC), Microsoft Corporation, International Business Machines Corporation, Amazon Web Services Inc., Splunk Inc., Snowflake Inc., Datadog Inc., Informatica Corporation, Databricks Inc., Dynatrace LLC, Elastic NV, Alteryx Inc., New Relic Inc., TIBCO Software Inc., DataRobot Inc., AppDynamics Inc., Fivetran, Talend S.A., Cribl, Dremio, Acceldata Inc., Astronomer Inc., Monte Carlo Data Inc., DataKitchen, StackState.

North America was the largest region in the data observability market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in data observability report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the data observability market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The data observability market includes revenues earned by entities by providing services such as root cause analysis, anomaly detection, performance optimization, audit and compliance support, and incident management. The market value includes the value of related goods sold by the service provider or included within the service offering. The data observability market consists of sales of software platforms, monitoring tools, and analytics services. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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 and 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.

Data Observability Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on data observability 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.

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Where is the largest and fastest growing market for data observability ? 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 data observability 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, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Component: Solution; Services
• 2) By Deployment Model: Cloud-Based; On-Premises; Hybrid
• 3) By End-User: Banking, Financial Services, And Insurance (BFSI); Information Technology (IT) And Telecom; Government And Public Sector; Energy And Utility; Manufacturing; Healthcare And Life Science; Retail And Consumer Goods; Other End Users
• Subsegments:
• 1) By Solution: Data Monitoring; Data Profiling; Data Lineage Tracking; Anomaly Detection
• 2) By Services: Consulting Services; Integration And Deployment Services; Support And Maintenance Services
• Companies Mentioned: Alphabet (Google LLC); Microsoft Corporation; International Business Machines Corporation; Amazon Web Services Inc.; Splunk Inc.; Snowflake Inc.; Datadog Inc.; Informatica Corporation; Databricks Inc.; Dynatrace LLC; Elastic NV; Alteryx Inc.; New Relic Inc.; TIBCO Software Inc.; DataRobot Inc.; AppDynamics Inc.; Fivetran; Talend S.A.; Cribl; Dremio; Acceldata Inc.; Astronomer Inc.; Monte Carlo Data Inc.; DataKitchen; StackState
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery Format: PDF, Word and Excel Data Dashboard.