Autonomous Data Platform Market Report 2025

The autonomous data platform market size has grown exponentially in recent years. It will grow from $2.29 billion in 2024 to $2.88 billion in 2025 at a compound annual growth rate (CAGR) of 25.7%. The growth observed in the historic period can be attributed to several factors, including increasing demand from enterprises, rising volumes of data, broader adoption within the finance sector, a heightened need for operational efficiency, and the growing complexity of data environments.

The autonomous data platform market size is expected to see exponential growth in the next few years. It will grow to $7.11 billion in 2029 at a compound annual growth rate (CAGR) of 25.3%. The anticipated growth in the forecast period is driven by increasing adoption of cloud-based solutions, rising investments in analytics, growing demand for real-time insights, expanding regulatory requirements, and increasing adoption in emerging markets. Prominent trends during this period include advancements in self-service analytics capabilities, seamless integration of cloud environments, technology-driven automation, innovations in compliance solutions, and progress in artificial intelligence.

The growing adoption of cloud-based solutions is expected to drive significant growth in the autonomous data platform market. Cloud-based services provide internet-delivered access to data, applications, and computing resources without the need for on-site infrastructure. Their popularity is increasing due to scalability and flexibility, which allow businesses to adjust resources on demand while avoiding heavy upfront infrastructure costs. Autonomous data platforms enhance these cloud solutions by integrating AI-driven automation, making them especially suitable for hybrid and multi-cloud environments. These platforms reduce manual data management by enabling intelligent monitoring, governance, and optimization, thereby improving operational efficiency and decision-making. For example, Eurostat reported in December 2023 that 45.2% of enterprises purchased cloud computing services, marking a 4.2% rise from 41% in 2021. This rise in cloud adoption is fueling the growth of the autonomous data platform market.

Key players in the autonomous data platform market are developing agentic data management systems to boost efficiency, improve data reliability, and cut manual governance costs. Agentic data management systems are AI-powered platforms that autonomously manage, optimize, and control data infrastructure with minimal human intervention. For instance, in May 2025, Acceldata Inc., a US-based AI-driven data management company, introduced an agentic data management platform alongside the xLake Model Context Protocol with Distributed Compute Server (MCP-DC). This next-generation distributed data control plane supports agentic AI by incorporating automated root cause analysis, dynamic policy enforcement, and a natural language collaboration interface. These features reduce manual data management, enhance operational resilience, and enable organizations to make faster, data-driven decisions. The autonomous agents operate seamlessly across hybrid and multi-cloud environments, ensuring continuous observability, proactive anomaly detection, and enforcement of governance policies.

In September 2024, Salesforce Inc., a US-based cloud software provider, partnered with International Business Machines Corporation (IBM) to offer AI-powered autonomous agents and advanced data integration capabilities. This collaboration aims to enhance enterprise automation, improve data-driven decisions, and enable organizations to manage complex data workflows with minimal human involvement. IBM is a US technology and consulting company specializing in AI-driven autonomous data solutions, supporting Salesforce’s efforts in delivering next-generation AI data management.

Major players in the autonomous data platform market are Amazon.com Inc., Google LLC, Microsoft Corporation, International Business Machines Corporation, Oracle Corporation, SAP SE, Hewlett Packard Enterprise Company, SAS Institute Inc., Snowflake Inc., Teradata Corporation, Databricks Inc., MongoDB Inc., Cloudera Inc., Domo Inc., Fivetran Inc., Redis Ltd., Alation Inc., Cribl Inc., Denodo Technologies Inc., and Starburst Data Inc.

North America was the largest region in the autonomous data platform market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in autonomous data platform report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the autonomous data platform market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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 rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

An autonomous data platform is an AI-powered database system designed to automate tasks such as provisioning, tuning, patching, and security management. Its primary goal is to help organizations store, manage, and analyze data efficiently with minimal human involvement while ensuring high performance, reliability, and scalability. This platform promotes faster decision-making through self-optimizing and self-securing features.

The main components of an autonomous data platform include support and maintenance, services, platform infrastructure, integration capabilities, and advisory functions. Support and maintenance ensure continuous assistance, updates, and problem resolution for smooth, secure, and reliable platform operation. These platforms can be deployed either on-premises or in the cloud and serve organizations of various sizes, from SMEs to large enterprises. They find applications in data integration, analytics, and governance across diverse sectors such as banking, financial services, insurance, healthcare, retail, manufacturing, IT, telecom, government, and more.

The autonomous data platform market research report is one of a series of new reports that provides autonomous data platform market statistics, including autonomous data platform industry global market size, regional shares, competitors with the autonomous data platform market share, autonomous data platform market segments, market trends, and opportunities, and any further data you may need to thrive in the autonomous data platform industry. This autonomous data platform 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 autonomous data platform market consists of revenues earned by entities by providing services such as data quality management, automated data security and compliance, cloud-based database and data warehouse management, multi-cloud and hybrid cloud orchestration, AI-driven model building and deployment, and consulting, implementation, and support services. The market value includes the value of related goods sold by the service provider or included within the service offering. The autonomous data platform market also includes sales of autonomous databases, cloud-based and on-premises data warehouses, AI-powered analytics platforms, business intelligence and reporting software, data management solutions, and security and governance tools. 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 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.

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