Big Data as a Service (BDaaS) Market Report 2025

The big data as a service (BDaaS) market size has grown exponentially in recent years. It will grow from $29.01 billion in 2024 to $36.65 billion in 2025 at a compound annual growth rate (CAGR) of 26.4%. The growth during the historic period was driven by expanding internet penetration, increased adoption of cloud computing, greater digitization of records, a surge in data volume, and the rising use of the Internet of Things.

The big data as a service (BDaaS) market size is expected to see exponential growth in the next few years. It will grow to $92.4 billion in 2029 at a compound annual growth rate (CAGR) of 26%. The anticipated growth during the forecast period is driven by rising demand for generative AI-ready analytics, increasing need for real-time data analysis, growing preference for hybrid cloud deployments, expanding reliance on advanced analytics, and wider adoption of cloud-based solutions. Key trends include progress in cloud-based Big Data as a Service (BDaaS) platforms, integration of AI and machine learning with BDaaS, technological advancements in real-time data analytics, improvements in IoT-enabled big data solutions, and the seamless integration of BDaaS with existing IT infrastructures.

The growing adoption of cloud-based solutions is expected to drive the expansion of the big data as a service (BDaaS) market in the future. Cloud-based solutions are software or services delivered via the internet, allowing for remote access, storage, and data management. Their increasing use is fueled by the rising demand for remote work and collaboration, as these solutions enable employees to securely access and work on data and applications from any location, boosting productivity and ensuring business continuity. BDaaS supports cloud-based solutions by helping organizations efficiently manage and analyze large data volumes in the cloud, enhancing operational efficiency, decision-making, and scalability without requiring significant IT investments. For example, in January 2025, AAG IT Services, a UK-based IT company, reported that in 2022, 89% of organizations surveyed employed multi-cloud solutions for their storage and workloads. Only 9% used a single public cloud, and 2% relied on a single private cloud. Thus, the increasing adoption of cloud-based solutions is fueling the growth of the BDaaS market.

Leading companies in the BDaaS market are concentrating on creating innovative solutions such as data ingestion pipelines to efficiently gather, process, and integrate vast amounts of data from multiple sources for real-time analytics and decision-making. A data ingestion pipeline is a system or workflow that collects, transfers, and processes data from various sources into a centralized storage or analytics platform, enabling organizations to handle large volumes of both structured and unstructured data for analysis, reporting, or machine learning. For instance, in October 2024, FactSet Research Systems Inc., a US-based capital market firm, introduced a data as a service (DaaS) solution aimed at simplifying data management in financial services. This solution centralizes diverse data sources and automates time-intensive tasks such as data ingestion and cleaning. It improves data quality, lowers operational expenses, and speeds up insight generation for smarter decision-making. Tailored for financial services, it supports seamless integration, reduces risk, and allows quicker access to reliable data for better business results.

In February 2025, International Business Machines Corporation (IBM), a US-based technology giant, acquired DataStax Inc. for an undisclosed sum. With this acquisition, IBM intends to enhance its artificial intelligence and data management capabilities, broaden support for unstructured data, and accelerate innovation in generative artificial intelligence (AI) across global enterprises. DataStax Inc., a US-based real-time data company, provides big data as a service (BDaaS).

Major players in the big data as a service (BDaaS) market are Google LLC, Microsoft Corporation, Alibaba Cloud US LLC, Tencent Cloud Computing (Beijing) Co. Ltd., Accenture Plc, IBM Corporation, Oracle Corporation, SAP SE, Hewlett Packard Enterprise, WIPRO LIMITED, ZOHO CORPORATION PRIVATE LIMITED, Teradata Corporation, Databricks Inc., Snowflake Inc., Cloudera Inc., Trianz Holdings Private Limited, Starburst Data Inc., GoodData Corporation, ScyllaDB Ltd., Qubole Inc., and Denologix Inc.

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

Big Data as a Service (BDaaS) is a cloud-based model that offers organizations on-demand access to big data storage, processing, analytics, and management tools without the need to maintain their own infrastructure. It allows businesses to gather, store, and analyze large amounts of both structured and unstructured data to derive insights, support decision-making, and guide business strategies.

The main types of BDaaS solutions include Hadoop-as-a-Service, Data-as-a-Service, and Data Analytics-as-a-Service. Hadoop-as-a-Service (HaaS) delivers managed Hadoop infrastructure via the cloud, enabling the storage, processing, and analysis of large datasets without the organization needing to handle the underlying hardware or software. These services are available through public, private, and hybrid cloud models and cater to organizations ranging from small and medium-sized enterprises (SMEs) to large corporations. They serve diverse industries such as banking, financial services and insurance (BFSI), manufacturing, retail, media and entertainment, healthcare, information technology (IT) and telecommunications, government, and others.

The big data as a service (BDaaS) market research report is one of a series of new reports that provides big data as a service (BDaaS) market statistics, including big data as a service (BDaaS) industry global market size, regional shares, competitors with a big data as a service (BDaaS) market share, detailed big data as a service (BDaaS) market segments, market trends and opportunities, and any further data you may need to thrive in the big data as a service (BDaaS) industry. This big data as a service (BDaaS) 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 big data as a service (BDaaS) market includes revenues earned by entities by providing services such as data storage services, big data analytics services, and data security and governance services. 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.

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