Data Lake Global Market Report 2025

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.

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 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 data lake market size has grown exponentially in recent years. It will grow from $21.79 billion in 2024 to $26.46 billion in 2025 at a compound annual growth rate (CAGR) of 21.5%. 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 $57.57 billion in 2029 at a compound annual growth rate (CAGR) of 21.4%. 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.

The forecast of 21.4% growth over the next five years reflects a slight reduction of 0.2% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. Ongoing tariffs are poised to influence infrastructure procurement for data lakes, especially network-attached storage systems and scalable computing hardware often imported from Asia. 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.

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).

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.

Data Lake 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 lake 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 lake ? 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 lake 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 Type: Solution; Services
• 2) By Deployment: On-Premise; Cloud
• 3) By Organization Size: Large Enterprises; Small And Medium-Sized Enterprises (SMEs)
• 4) By Vertical: Information Technology; Banking, Finance Services And Insurance; Retail; Healthcare; Media And Entertainment; Manufacturing; Other Verticals
• Subsegments:
• 1) By Solution: Data Ingestion Solutions; Data Storage Solutions; Data Management And Governance Solutions; Analytics And Visualization Tools
• 2) By Services: Consulting Services; Implementation And Integration Services; Support And Maintenance Services; Data Migration Services
• Companies Mentioned: 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.
• 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.