Data Lake Market Report 2025

This 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 data lake market size has grown exponentially in recent years. It will grow from $21.79 billion in 2024 to $26.57 billion in 2025 at a compound annual growth rate (CAGR) of 22%. The growth in the historic period can be attributed to growing data volumes, increasing variety of data sources, demand for advanced analytics, regulatory compliance, cost-effective storage.

The data lake market size is expected to see exponential growth in the next few years. It will grow to $57.81 billion in 2029 at a compound annual growth rate (CAGR) of 21.5%. The growth in the forecast period can be attributed to real-time data processing, AI and machine learning integration, enhanced data governance, edge computing integration, industry-specific solutions. Major trends in the forecast period include technological advancements, hybrid and multi-cloud deployments, focus on data governance and security, data monetization strategies, industry-specific data lake solutions.

A surge in the use of mobile and smart devices is expected to propel the growth of the next-generation data lake market going forward. Smart devices refer to electronic gadgets and parts that are connected to an intelligent system and are meant to be placed next to, on, or inside an organism. A surge in the use of mobile devices will increase the use of internet searches and social media, which ultimately increases the amount of data generated, thus increasing the demand for data storage to store this large amount of data. For instance, in February 2023, according to Uswitch Limited, a UK-based financial conduct authority, there were 71.8 million mobile connections in the UK at the beginning of 2022, which is a rise of 3.8% from 2021 (about 2.6 million) and 4.2 million higher than the country's total population. And there will be 68.3 million people living in the UK by 2025, and 95% of them (or about 65 million people) will be smartphone users. Therefore, the rising adoption of mobile and smart devices is driving the growth of the data lake market.

Major companies operating in the data lake market are concentrating on innovative advancements such as singularity security datalake to address the growing need for robust data security and governance. This security data lake is a cloud-native security data platform designed to provide comprehensive visibility, detection, and response capabilities across an organization's security ecosystem. For instance, in April 2023, SentinelOne, Inc., a US-based cybersecurity company, launched the singularity security data lake, a cloud-native security data platform. It provides a comprehensive view of data across security ecosystems, enabling organizations to quickly uncover threats and respond to them in real time. Additionally, it offers several advanced features, including a complete data view, active orchestration and automation, data integration and fusion, AI-powered anomaly detection, cost-effective data management, and federal agency accessibility, to help provide a powerful and innovative solution for organizations looking to enhance their cybersecurity capabilities.

In June 2022, Starburst Data Inc., a US-based open-source data analytics and query platform, acquired Varada Technologies Inc. for an undisclosed amount. This acquisition aimed to create a more powerful and cost-effective data lake analytics solution, solidifying Starburst's position in a rapidly growing market. Varada Technologies Inc. is an Israel-based data platform, offers a data lake analytics solution.

Major companies operating in the data lake market are Google LLC, Microsoft Corporation, Dell Technologies Inc., Huawei Technologies Co. Ltd., Amazon Web Services (AWS) Inc., International Business Machine Corporation, Cisco Systems Inc., Oracle Corporation, SAP SE, NetApp Inc., Hitachi Vantara India Pvt. Ltd., Snowflake Inc., Teradata Corporation, Informatica LLC, Cloudera Inc., Talend Inc., Databricks Inc., DataStax Inc., MarkLogic Corporation, MapR Technologies India Pvt. Ltd., Qubole Inc., Zaloni Inc., Cazena Inc., BlueData Inc., Pivotal Software Inc.

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

The data lake market includes revenues earned by entities by providing services such as data ingestion, data storage, data processing and transformation, data security, and governance, data lifecycle management and monitoring, and operations. The market value includes the value of related goods sold by the service provider or included within the service offering. The data lake market also consists of sales of business intelligence and analytics tools, machine learning and AI-powered products, IoT and connected devices, content recommendation systems, cybersecurity products, and financial products. 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).

A data lake refers to a centralized repository that allows for the storage of vast amounts of structured, semi-structured, and unstructured data at scale. It empowers organizations to unlock the value of their data by providing a scalable, flexible, and cost-effective solution for storing, managing, and analyzing diverse datasets across the enterprise.

The main types of data lakes are solutions and services. A solution-type data lake refers to a data lake that is designed and implemented as a comprehensive solution to address specific business needs or challenges. It includes deployments such as on-premise and cloud-premise, which use a variety of organizations, such as large enterprises and small and medium-sized enterprises (SMEs), and end users in information technology, banking, finance services and insurance, retail, healthcare, media and entertainment, manufacturing, and others.

The main types of data lakes are solutions and services. A solution-type data lake refers to a data lake that is designed and implemented as a comprehensive solution to address specific business needs or challenges. It includes deployments such as on-premise and cloud-premise, which use a variety of organizations, such as large enterprises and small and medium-sized enterprises (SMEs), and end users in information technology, banking, finance services and insurance, retail, healthcare, media and entertainment, manufacturing, and others.

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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