Enterprise Data Lake Market Definition
In today’s lively business environment, new data consumption requirements, and use cases emerge extremely rapidly. The data lake is increasingly being used to describe any large data pool in which the data supplies are not defined until the data is queried is booming the market demands. Enterprise data lake is designed to provide the necessary foundation to apparent way the enterprise-wide data access problem at its roots. Data lakes provide various benefits like scalability and can accommodate high-speed data. It also offers advanced analytics by utilizing the availability of large quantities of coherent data.
The market study is broken down, by Application (BFSI, Telecommunication and Information Technology (IT), Retail and eCommerce, Healthcare and Life Sciences, Manufacturing, Energy and Utilities, Media and Entertainment, Government and Others (Travel And Hospitality, Transportation and Logistics, and Education)) and major geographies with country level splits.
The global Enterprise Data Lake market is fragmented due to the presence of regional and global manufacturers. The level of competition among the companies in the Enterprise Data Lake market is intense and manufacturers focus on developing new technologies and offering customized products to the customers. In the coming years, manufacturers will also develop new partnerships to spread their product reach to more customers globally. Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global Enterprise Data Lake market throughout the predicted period.
Cazena (United States), Google (United States), Infoworks.io (United States), Snowflake (United States), Dremio (United States), TCS (India), IBM (United States), Temenos (Switzerland), Informatica (United States), SAS Institute (United States), Microsoft (United States), Teradata (United States) and Oracle (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Zaloni (United States), Koverse (United States), HPE (United States), Atos (France) and Cloudera (United States).
AdvanceMarketAnalytics has segmented the market of Global Enterprise Data Lake market by Type, Application and Region.
On the basis of geography, the market of Enterprise Data Lake has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Deployment Mode, the sub-segment i.e. On-premises will boost the Enterprise Data Lake market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Components, the sub-segment i.e. Software will boost the Enterprise Data Lake market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Function, the sub-segment i.e. Marketing will boost the Enterprise Data Lake market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Organization size, the sub-segment i.e. Large Enterprises will boost the Enterprise Data Lake market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.
- Demand for cloud-based data platforms to manage and mitigate data issues
- The growing need to extract in-depth insights from growing volumes of data to gain competitive advantage is key driving factor of growth
- Advancement in technologies such as use of AI and analytics is booming the demand for the enterprise data lake.
- lack of metadata in data lake leading to data swamps
Key Target AudienceNew Entrants/Investors, Analysts and Strategic Business Planners, Enterprise Data Lake Developer, Venture Capitalists and Private Equity Firms, Government Regulatory and Research Organizations and End-Use Industry
About ApproachThe research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.
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