PUBLISHER: The Business Research Company | PRODUCT CODE: 1716945
PUBLISHER: The Business Research Company | PRODUCT CODE: 1716945
A data lakehouse is an integrated data architecture that merges the characteristics of data lakes and data warehouses. It enables organizations to store structured, semi-structured, and unstructured data in a single repository, while offering advanced analytics capabilities, including data warehousing functions such as SQL querying and big data processing.
The primary deployment methods for a data lakehouse are on-premises and cloud-based. On-premises deployment involves establishing the data lakehouse infrastructure within the organization's own physical data centers. This approach is utilized by both large enterprises and small to medium-sized businesses (SMEs) for various business operations, such as marketing, human resources, operations, and finance. It is adopted across a wide range of industries, including IT and telecom, banking, financial services and insurance (BFSI), retail and e-commerce, healthcare and life sciences, manufacturing, energy and utilities, among others.
The data lakehouse market research report is one of a series of new reports from The Business Research Company that provides data lakehouse market statistics, including data lakehouse industry global market size, regional shares, competitors with a data lakehouse market share, detailed data lakehouse market segments, market trends and opportunities, and any further data you may need to thrive in the data lakehouse industry. This data lakehouse 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 data lakehouse market size has grown exponentially in recent years. It will grow from $8.5 billion in 2024 to $10.39 billion in 2025 at a compound annual growth rate (CAGR) of 22.2%. The growth in the historic period can be attributed to growth in cloud adoption, rise in need for real-time data processing, rise in demand for advanced analytics, rise in data storage needs, and rise in use of IoT devices.
The data lakehouse market size is expected to see exponential growth in the next few years. It will grow to $22.97 billion in 2029 at a compound annual growth rate (CAGR) of 21.9%. The growth in the forecast period can be attributed to increasing investments in data infrastructure, the rising importance of data security, the rising need for data democratization, increasing demand for data lineage. Major trends in the forecast period include technological advancements, machine learning, real-time analytics, data virtualization, and hybrid data architectures.
The growing trend of digitalization is expected to drive the expansion of the data lakehouse market in the coming years. Digitalization involves converting information and processes into digital formats to enhance efficiency, accessibility, and innovation. This trend is accelerating due to technological advancements, the demand for higher productivity and efficiency, the focus on improving customer experiences, and the need to remain competitive in a fast-changing market. Data lakehouses play a crucial role in supporting digitalization by integrating various data types into a single platform, allowing for comprehensive analytics and real-time insights. For example, a report published by the European Investment Bank in May 2023 revealed that 42% of European companies invested in digitalization efforts in 2022, a 9% increase from 2021. As a result, the rise in digitalization is fueling the growth of the data lakehouse market.
Leading companies in the data lakehouse industry are developing products with advanced technologies, such as secure unstructured data lakes, to efficiently extract, standardize, and manage this type of data. A secure unstructured data lake is an innovative architecture that merges the advantages of data lakes and data warehouses. For instance, in May 2024, US-based Tonic.ai, a provider of AI-driven solutions, introduced Tonic Textual, the world's first secure unstructured data lakehouse designed specifically for large language models (LLMs). This platform simplifies the handling of unstructured data in AI development, addressing key integration and privacy issues that have previously hindered enterprise AI adoption. By offering a unified platform to manage the complexities of unstructured data for AI applications, it enhances both the efficiency and security of enterprise data workflows.
In June 2024, US-based data and AI company Databricks Inc. acquired Tabular for an undisclosed sum. This acquisition is expected to strengthen Databricks' product portfolio and bolster its leadership in the rapidly evolving data landscape, while also promoting open standards. Tabular, a US-based company, specializes in providing data lakehouse solutions.
Major companies operating in the data lakehouse market are Alphabet Inc., Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation (IBM), Oracle Corporation, SAP SE, Hewlett Packard Enterprise Company (HPE), Teradata Corporation, Databricks Inc., Informatica LLC, Snowflake Inc., Cloudera Inc., Matillion Ltd., Alteryx Inc., QlikTech International AB, Fivetran Inc., DataRobot Inc., Dremio Corp., Starburst Data Inc., SQream Technologies Ltd., Zaloni Inc., Solix Technologies Inc., Infoworks.io Inc., Kinetica Inc., Onehouse Inc., Cazena Inc., Vertica Inc.
North America was the largest region in the data lakehouse market in 2024. Asia-Pacific is expected to be the fastest-growing region in the market going forward. The regions covered in the data lakehouse market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the data lakehouse market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The data lakehouse market includes revenues earned by entities by providing services such as data ingestion services, data storage and management, data cataloging and metadata management, data governance, and data querying and analytics. 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.
Data Lakehouse 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 lakehouse 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.
Where is the largest and fastest growing market for data lakehouse ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The data lakehouse 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 forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.