- In May 2022, Oracle and Informatica, a leader in enterprise cloud data management, formed a strategic partnership to integrate Informatica’s data governance and integration solutions with Oracle Cloud Infrastructure (OCI). This collaboration enables Oracle customers to leverage Informatica’s tools for managing data workflows and governance in the cloud. Additionally, Oracle has named Informatica as its preferred partner for cloud data governance and integration, particularly for data warehouse and lakehouse solutions on OCI
- In May 2022, Dell Technologies Inc. and Snowflake Inc. partnered to connect data from Dell's on-premises storage solutions with the Snowflake Data Cloud. This collaboration aims to eliminate the need for separate data lakes and warehouses, offering a unified, cloud-native platform for secure data sharing across organizations. It enables seamless aggregation of datasets from various SaaS and cloud platforms, making data accessible to all users within the enterprise
- In February 2021, AWS launched the Amazon Redshift query editor with enhanced VPC routing support, designed to work with all node types. The update extended the query time-out limit from 10 minutes to 24 hours, allowing for longer-running queries. This enhancement improves the performance and flexibility of data querying within Amazon Redshift clusters
- In May 2021, WPP partnered with Microsoft to revolutionize content production through the launch of Cloud Studio. This collaboration aims to leverage cloud technology to enhance creative processes and streamline content creation. The initiative is designed to improve efficiency and innovation in the production of digital content
- In March 2020, Google introduced the Google AI Cloud Platform, designed to facilitate the deployment of advanced machine learning pipelines. This platform aims to provide businesses with robust tools for building and managing AI models. It enhances efficiency by enabling scalable and efficient deployment of machine learning solutions
Frequently Asked Questions
The market is segmented based on Segmentation, By Type of Offering (Extraction, Transportation and Loading (ETL) Solutions, Statistical Analysis, Data Mining, and Others), Type of Data (Unstructured Data and Semi-structured & Structured Data), Deployment (On- Premises, Cloud, and Hybrid), Organization Type (Small & Medium Sized Enterprises and Large Enterprise), Industrial Vertical (BFSI, Telecom &IT, Government, Manufacturing, Retail, Healthcare, Media & Entertainment, and Others) – Industry Trends and Forecast to 2032
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The Global Data Warehousing Market size was valued at USD 31.35 USD Billion in 2024.
The Global Data Warehousing Market is projected to grow at a CAGR of 8.5% during the forecast period of 2025 to 2032.
The market report covers data from the U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E., South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
