Data Warehousing Global Market Report 2024

The data warehousing refers to a particular form of data management system called a data warehouse intended to facilitate and support business intelligence (BI) activities, particularly analytics. Data warehouses frequently have a lot of historical data and are only meant to be used for queries and analysis. This uses a variety of sources, including transaction programs and application log files.

The main types of offerings in data warehousing are ETL solutions, statistical analysis, data mining, and other offering types. ETL systems extract data, enforce data quality standards, conform data into a consistent format, and deliver data that is suitable for use by application developers to construct applications and by business users to make choices. The various data types include unstructured data, semi-structured and structured data, and are deployed on-premise, cloud, and hybrid. The various organization types include large enterprises and SMEs. These are used in BFSI, IT and telecom, government, manufacturing, retail, healthcare, media and entertainment, and other industry verticals.

The data warehousing market research report is one of a series of new reports that provides data warehousing market statistics, including data warehousing industry global market size, regional shares, competitors with a data warehousing market share, detailed data warehousing market segments, market trends and opportunities, and any further data you may need to thrive in the data warehousing industry. This data warehousing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The data warehousing market size has grown rapidly in recent years. It will grow from $30.57 billion in 2023 to $34.52 billion in 2024 at a compound annual growth rate (CAGR) of 12.9%. The growth in the historic period can be attributed to growth in enterprise data volume, increased complexity of data analysis, business intelligence and reporting needs, expansion of cloud computing, adoption of data warehousing for decision support.

The data warehousing market size is expected to see rapid growth in the next few years. It will grow to $59.05 billion in 2028 at a compound annual growth rate (CAGR) of 14.4%. The growth in the forecast period can be attributed to demand for real-time data analytics, growth in edge computing and iot data processing, emphasis on hybrid and multi-cloud data warehousing, increased focus on data security and privacy, growing demand for business intelligence and analytics solutions. Major trends in the forecast period include integration of artificial intelligence and machine learning in data warehousing, adoption of data lake architecture, use of in-memory processing for faster analytics, augmented analytics for enhanced business insights, focus on sustainable and green data warehousing practices.

The escalating proliferation of cloud technology is expected to propel the growth of the data warehousing market going forward. Cloud technology refers to the supply of computer services over the internet, including servers, storage, databases, networking, software, analytics, and intelligence. Cloud data warehouses enable customers to access and safeguard valuable data while maintaining processing speeds. For instance, according to Eurostat, the statistical office of the European Union (EU), in 2021, cloud computing was used by 41% of EU businesses, primarily for file storage and e-mail, and the usage grew in 2021 compared to 2020, especially in the retail sector. So, the escalating proliferation of cloud technology among enterprises is driving the data warehousing market growth.

Increased use of artificial intelligence is expected to drive the data warehousing market going forward. Artificial Intelligence (AI) is a field of computer science and technology that focuses on creating computer systems and software capable of performing tasks that typically require human intelligence. Data warehousing plays a critical role in AI by providing a structured and consolidated repository for the vast amounts of data required for training and powering machine learning models. It enables organizations to access, process, and analyze data efficiently, facilitating AI-driven insights and predictive analytics. Data warehousing solutions also support data governance and compliance, ensuring the quality and security of data used in AI applications. For instance, in September 2023, Radixweb, an India-based software development company published an article that said, the global AI market is worth $328.34 billion, and it is expected to grow by 38.1% from 2021 to 2030. Therefore, the increased use of AI will drive the data warehousing market.

Innovations in data warehousing are a key trend gaining popularity in the data warehousing market. Major companies operating in data warehousing are introducing innovative products to strengthen their position in the market. For instance, in March 2021, Oracle, a US-based company operating in data warehousing, introduced a set of innovative enhancements to its autonomous data warehouse, the first self-driving cloud data warehouse. The innovative advancements include a single data platform built for businesses to transform, ingest, store, and govern all data and then run diverse analytical workloads from any source, including enterprise data warehouses and departmental systems.

Major companies in the data warehousing market enter strategic collaborations and partnerships to sustain their position in the market such as the strategic collaboration with SAP and Collibra. The alliance between both the company’s focus on integrating its data catalog technology to develop a comprehensive data governance strategy for customers. For instance, in March 2023, SAP SE, a Germany-based software company partnered with Collibra, a Belgium-based data governance platform. The partnership aims to cater to the customers need for a single system of engagement that provides visibility into data across the enterprise and builds the foundation for enterprise-wide governance. The joint customers of both the companies will be able to deliver accurate and trusted data for every use, every user, and across every source.

In June 2021, Clayton, Dubilier & Rice (CD&R), a US-based company, acquired Cloudera for a deal amount of approximately $5.3 billion. This purchase boosts Cloudera's long-term path to hybrid cloud leadership for analytics that span the full data lifecycle while also providing significant and certain benefits to stockholders. Cloudera is a US-based company operating in the data warehousing market.

Major companies operating in the in the data warehousing market report are Actian Corporation, Cloudera Inc., Amazon. com Inc., IBM Corporation, Google LLC, Oracle Corporation, Microsoft Corporation, Snowflake Inc., SAP SE, Amazon Redshift, Amazon Web Services, 1010DATA, Accur8Software, AtScale Inc., Attunity, Dell Technologies Inc., Informatica LLC, Micro Focus International plc, MarkLogic Corporation, Netavis Software Gmbh, Panoply Ltd., Pivotal Software Inc., Hewlett Packard Enterprise Company, VMware Inc., Huawei Technologies Co. Ltd., Kognitio Ltd., TIBCO Software Inc., Vertica Systems, Yellowbrick Data Inc., Alteryx Inc.

North America was the largest region in the data warehousing market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the data warehousing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the data warehousing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.

The data warehousing market consists of revenues earned by entities by providing operations data stores, enterprise data warehouses, and data marts. 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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