Global Data Lake Market Analysis Report Report 2022-2027: Increasing Need to Extract In-depth Insights from Growing Volume of Data to Gain a Competitive Advantage – QNT Press Release

DUBLIN, Aug. 29, 2022 /PRNewswire/ — The “Data Lake: Global Markets” report has been added to’s offering.

This report provides an overview of the global data lake market and analyzes market trends. Using 2021 as the base year, the report provides estimated market data for the forecast period from 2022 through 2027. Revenue forecasts for this period are segmented based on component, deployment mode, organization size, industry and region.

Organizations are embracing the data lake design pattern, as it provides them with the ability to use raw data for data exploration and advanced analytics. A data lake can be an efficient data-driven technique in the process for capturing various data types in a large volume of data that may be old or new. It is designed to quickly accept raw, precise source data and to process that data in real-time for operations, analytics and exploration purposes.

The lack of professional expertise and metadata, however, is leading expertise to data swamps and hindering market growth. Apart from drivers and restraints, a shift toward cloud-based data platforms to manage and mitigate data issues; a rise in the adoption of advanced technologies, such as artificial intelligence (AI), internet of things (IoT) and analytics; and growing demand to improve operational efficiency will create huge opportunities for vendors in the market.

In this report, the global data lake market has been segmented based on offering, business function, deployment mode, organization size, end-user industry and region. Based on offering, the market has been segmented into solutions and services. The solutions segment is further segmented into data discovery, data integration and management, data lake analytics and data visualization. The services segment is further categorized into managed services and professional services.

Based on deployment mode, the data lake market has been segmented into on-premises and cloud. Based on organization size, the market has been segmented into small and medium enterprises (SMEs) and large enterprises. Large enterprises currently dominate the market, but SMEs are expected to be fastest-growing segment during the forecast period.

Based on business functions,…

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